From f81a9c2e3f86d5d6a4a08721f805e0a821eafea6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 11 Jul 2025 19:10:44 -0400 Subject: [PATCH 001/253] Add assertions for tensor shapes. --- com.ibm.wala.cast.python.test/data/tf2_test_add7.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py index a21250c2e..d108188b5 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py @@ -2,6 +2,12 @@ def add(a, b): + assert a.shape == (1, 2), f"Expected shape (1, 2), got {a.shape}" + assert b.shape == (2, 2), f"Expected shape (2, 2), got {b.shape}" + + assert a.dtype == tf.float32, f"Expected dtype float32, got {a.dtype}" + assert b.dtype == tf.float32, f"Expected dtype float32, got {b.dtype}" + return a + b From 81cfcb65ca48e132ccf3d55ce5d07ab96514d53a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 14 Jul 2025 16:41:26 -0400 Subject: [PATCH 002/253] Set expected tensors to the correct values. Not MNIST. --- .../python/ml/test/TestTensorflow2Model.java | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 9f7acc789..9c83a1151 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -870,7 +870,21 @@ public void testAdd6() @Test public void testAdd7() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add7.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + Dimension aX = new NumericDim(1); + Dimension aY = new NumericDim(2); + + Dimension bX = new NumericDim(2); + Dimension bY = new NumericDim(2); + + TensorType expectedTypeForA = new TensorType("pixel", asList(aX, aY)); + TensorType expectedTypeForB = new TensorType("pixel", asList(bX, bY)); + + test( + "tf2_test_add7.py", + "add", + 2, + 2, + Map.of(2, Set.of(expectedTypeForA), 3, Set.of(expectedTypeForB))); } @Test From d4d2d2358b6359fd6b7747838fe0bc4331c102a1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 17 Jul 2025 13:30:38 -0400 Subject: [PATCH 003/253] Remove the hard-coded MNIST input. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 20d41eb3a..d4adb9386 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -661,10 +661,9 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Set sources = getDataflowSources(dataflow, builder.getCallGraph(), builder.getPointerAnalysis()); - TensorType mnistData = TensorType.mnistInput(); Map init = HashMapFactory.make(); - for (PointsToSetVariable v : sources) init.put(v, mnistData); + for (PointsToSetVariable v : sources) init.put(v, getTensorType(v)); Map placeholders = handleShapeSourceOp(builder, dataflow, placeholder, 2); @@ -707,6 +706,11 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) return tt; } + private TensorType getTensorType(PointsToSetVariable v) { + // TODO Auto-generated method stub + return null; + } + private Map handleShapeSourceOp( PropagationCallGraphBuilder builder, Graph dataflow, From dd7e9ba8517a73dc6e16aa1013190d6526e857ce Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 18 Jul 2025 11:07:02 -0400 Subject: [PATCH 004/253] This comment seems incorrect. --- com.ibm.wala.cast.python.test/data/tf2_test_add7.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py index d108188b5..5f005950a 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py @@ -11,4 +11,4 @@ def add(a, b): return a + b -c = add(tf.ones([1, 2]), tf.ones([2, 2])) # [[2., 2.], [2., 2.]] +c = add(tf.ones([1, 2]), tf.ones([2, 2])) From cc1c1914bf50c7afc7858dafb8f19e9e76af6b60 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 18 Jul 2025 11:07:14 -0400 Subject: [PATCH 005/253] Additional assertions. --- com.ibm.wala.cast.python.test/data/tf2_test_add7.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py index 5f005950a..dc4eb2017 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py @@ -12,3 +12,6 @@ def add(a, b): c = add(tf.ones([1, 2]), tf.ones([2, 2])) + +assert c.shape == (2, 2), f"Expected shape (2, 2), got {c.shape}" +assert c.dtype == tf.float32, f"Expected dtype float32, got {c.dtype}" From 30b626b000b18bd3d0a73ed824221daf0581bf23 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 18 Jul 2025 11:57:19 -0400 Subject: [PATCH 006/253] Progress. --- .../ml/client/PythonTensorAnalysisEngine.java | 138 +++++++++++++++++- 1 file changed, 135 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index d4adb9386..e8fe28bc2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -2,8 +2,10 @@ import static com.google.common.collect.Sets.newHashSet; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; +import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; +import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.ir.ssa.EachElementGetInstruction; import com.ibm.wala.cast.lsp.AnalysisError; import com.ibm.wala.cast.python.client.PythonAnalysisEngine; @@ -15,7 +17,9 @@ import com.ibm.wala.cast.types.AstMethodReference; import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.classLoader.IClass; +import com.ibm.wala.classLoader.IField; import com.ibm.wala.classLoader.IMethod; +import com.ibm.wala.core.util.strings.Atom; import com.ibm.wala.ipa.callgraph.AnalysisOptions; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.CallGraph; @@ -33,6 +37,7 @@ import com.ibm.wala.ssa.DefUse; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.ssa.SSAInstruction; +import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.MethodReference; import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; @@ -100,6 +105,13 @@ public PythonTensorAnalysisEngine(List pythonPath) { TypeName.string2TypeName("Ltensorflow/functions/set_shape")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/ones. */ + private static final MethodReference ONES = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), + AstMethodReference.fnSelector); + private static final MethodReference ENUMERATE = MethodReference.findOrCreate( TypeReference.findOrCreate( @@ -663,7 +675,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Map init = HashMapFactory.make(); - for (PointsToSetVariable v : sources) init.put(v, getTensorType(v)); + for (PointsToSetVariable v : sources) init.put(v, getTensorType(v, builder)); Map placeholders = handleShapeSourceOp(builder, dataflow, placeholder, 2); @@ -706,8 +718,128 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) return tt; } - private TensorType getTensorType(PointsToSetVariable v) { - // TODO Auto-generated method stub + /** + * @param source The dataflow source to analyze. + * @param builder + * @return + */ + private TensorType getTensorType( + PointsToSetVariable source, PropagationCallGraphBuilder builder) { + PointerKey pointerKey = source.getPointerKey(); + + if (pointerKey instanceof LocalPointerKey) { + LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; + CGNode node = localPointerKey.getNode(); + + TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); + logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); + + if (calledFunction.equals(ONES.getDeclaringClass())) { + // This is a call to `ones()`. The shape is in the first explicit argument. + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePointerKey); + + for (InstanceKey shapeIK : shapePointsToSet) { + AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); + IClass concreteType = asin.getConcreteType(); + TypeReference reference = concreteType.getReference(); + + if (reference.equals(PythonTypes.list)) { + // We have a list of integers that represent the shape. + AstPointerKeyFactory pointerKeyFactory = + (AstPointerKeyFactory) builder.getPointerKeyFactory(); + PointerKey pointerKeyForObjectCatalog = + pointerKeyFactory.getPointerKeyForObjectCatalog(asin); + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + if (catalogIK instanceof ConstantKey) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + if (constantKeyValue instanceof Integer) { + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, + Atom.findOrCreateUnicodeAtom(constantKeyValue.toString()), + PythonTypes.Root); + + IField f = getClassHierarchy().resolveField(subscript); + logger.fine("Found field: " + f); + + // We can now get the pointer key for the instance field. + PointerKey pointerKeyForInstanceField = + builder.getPointerKeyForInstanceField(asin, f); + logger.fine( + "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + // Get the points-to set for the instance field. + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + logger.fine( + "Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + // If the instance field points to a constant, we can use it as the shape. + for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { + if (instanceFieldIK instanceof ConstantKey) { + ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; + Object instanceFieldValue = instanceFieldConstant.getValue(); + + if (instanceFieldValue instanceof Long) { + // We have a shape value. + Long shapeValue = (Long) instanceFieldValue; + logger.info( + "Found shape value: " + shapeValue + " for " + pointerKey + "."); + // return TensorType.shape(shapeValue); + } else + throw new IllegalStateException( + "Expected a " + + Long.class + + "for the shape, but got: " + + instanceFieldValue + + "."); + } else + throw new IllegalStateException( + "Expected a " + + ConstantKey.class + + " for the instance field, but got: " + + instanceFieldIK + + "."); + } + } else + throw new IllegalStateException( + "Expected an " + + Integer.class + + " for the object catalog value, but got: " + + constantKeyValue + + "."); + } else + throw new IllegalStateException( + "Expected a " + + ConstantKey.class + + " for the object catalog, but got: " + + catalogIK + + "."); + } + } else + throw new IllegalStateException( + "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); + } + } else + throw new IllegalArgumentException( + "Unknown call: " + calledFunction + " for source: " + source + "."); + } else + throw new IllegalArgumentException( + "Expected a " + + LocalPointerKey.class + + ", but got: " + + pointerKey.getClass() + + " for source: " + + source + + "."); + return null; } From 96a0c4e82847d21e1ad7f0dd2946c331918e8bb5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 18 Jul 2025 16:49:18 -0400 Subject: [PATCH 007/253] Progress. --- .../ml/client/PythonTensorAnalysisEngine.java | 93 ++++++++++++++++--- 1 file changed, 82 insertions(+), 11 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index e8fe28bc2..5c0ffdb7b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -11,6 +11,8 @@ import com.ibm.wala.cast.python.client.PythonAnalysisEngine; import com.ibm.wala.cast.python.ml.analysis.TensorTypeAnalysis; import com.ibm.wala.cast.python.ml.types.TensorType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; import com.ibm.wala.cast.python.ssa.PythonPropertyRead; import com.ibm.wala.cast.python.types.PythonTypes; @@ -49,10 +51,12 @@ import com.ibm.wala.util.graph.impl.SlowSparseNumberedGraph; import com.ibm.wala.util.intset.OrdinalSet; import java.io.File; +import java.util.ArrayList; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Set; +import java.util.TreeMap; import java.util.logging.Logger; public class PythonTensorAnalysisEngine extends PythonAnalysisEngine { @@ -673,7 +677,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Set sources = getDataflowSources(dataflow, builder.getCallGraph(), builder.getPointerAnalysis()); - Map init = HashMapFactory.make(); + Map> init = HashMapFactory.make(); for (PointsToSetVariable v : sources) init.put(v, getTensorType(v, builder)); @@ -682,7 +686,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) logger.fine(() -> "Placeholders: " + placeholders); for (Map.Entry e : placeholders.entrySet()) - init.put(e.getKey(), e.getValue()); + init.put(e.getKey(), Set.of(e.getValue())); Map setCalls = HashMapFactory.make(); Map set_shapes = getShapeSourceCalls(set_shape, builder, 1); @@ -710,8 +714,9 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Set conv3ds = getKeysDefinedByCall(conv3d, builder); - TensorTypeAnalysis tt = - new TensorTypeAnalysis(dataflow, init, shapeOps, setCalls, conv2ds, conv3ds, errorLog); + TensorTypeAnalysis tt = null; + // new TensorTypeAnalysis(dataflow, init, shapeOps, setCalls, conv2ds, conv3ds, + // errorLog); tt.solve(new NullProgressMonitor()); @@ -719,12 +724,22 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) } /** + * Returns the set of possible {@link TensorType}s that the given {@link PointsToSetVariable} can + * take on. + * * @param source The dataflow source to analyze. - * @param builder - * @return + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph and pointer + * analysis. + * @return A set of {@link TensorType}s that the given {@link PointsToSetVariable} can take on. + * Empty set is returned if the possible tensor types cannot be determined. */ - private TensorType getTensorType( + private Set getTensorType( PointsToSetVariable source, PropagationCallGraphBuilder builder) { + + logger.info("Getting tensor types for source: " + source + "."); + Set ret = HashSetFactory.make(); + + // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); if (pointerKey instanceof LocalPointerKey) { @@ -754,16 +769,23 @@ private TensorType getTensorType( OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); + // We expect the object catalog to contain a list of integers. Each element in the map + // corresponds to the set of possible dimensions for that index. + Map>> indexToPossibleDimensions = + new TreeMap>>(); + for (InstanceKey catalogIK : objectCatalogPointsToSet) { if (catalogIK instanceof ConstantKey) { ConstantKey constantKey = (ConstantKey) catalogIK; Object constantKeyValue = constantKey.getValue(); if (constantKeyValue instanceof Integer) { + Integer fieldIndex = (Integer) constantKeyValue; + FieldReference subscript = FieldReference.findOrCreate( PythonTypes.Root, - Atom.findOrCreateUnicodeAtom(constantKeyValue.toString()), + Atom.findOrCreateUnicodeAtom(fieldIndex.toString()), PythonTypes.Root); IField f = getClassHierarchy().resolveField(subscript); @@ -782,6 +804,8 @@ private TensorType getTensorType( "Points-to set for instance field: " + instanceFieldPointsToSet + "."); // If the instance field points to a constant, we can use it as the shape. + Set> tensorDimensions = HashSetFactory.make(); + for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { if (instanceFieldIK instanceof ConstantKey) { ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; @@ -790,9 +814,13 @@ private TensorType getTensorType( if (instanceFieldValue instanceof Long) { // We have a shape value. Long shapeValue = (Long) instanceFieldValue; - logger.info( + logger.fine( "Found shape value: " + shapeValue + " for " + pointerKey + "."); - // return TensorType.shape(shapeValue); + + Dimension dimension = new NumericDim(shapeValue.intValue()); + + logger.fine("Adding dimension: " + dimension + "."); + tensorDimensions.add(dimension); } else throw new IllegalStateException( "Expected a " @@ -808,6 +836,31 @@ private TensorType getTensorType( + instanceFieldIK + "."); } + + logger.info( + "Found possible shape dimensions: " + + tensorDimensions + + " for field: " + + pointerKeyForInstanceField + + " for source: " + + source + + "."); + + // Add the shape dimensions. + assert !indexToPossibleDimensions.containsKey(fieldIndex) + : "Duplicate field index: " + + fieldIndex + + " in object catalog: " + + objectCatalogPointsToSet + + "."; + + indexToPossibleDimensions.put(fieldIndex, tensorDimensions); + logger.fine( + "Added shape dimensions: " + + tensorDimensions + + " for field index: " + + fieldIndex + + "."); } else throw new IllegalStateException( "Expected an " @@ -823,6 +876,24 @@ private TensorType getTensorType( + catalogIK + "."); } + + for (Integer i : indexToPossibleDimensions.keySet()) { + Set> iDims = indexToPossibleDimensions.get(i); + + for (Dimension iDim : iDims) { + List> dimensionList = new ArrayList<>(); + dimensionList.add(iDim); + + for (int j = i + 1; j < indexToPossibleDimensions.keySet().size(); j++) { + Set> jDims = indexToPossibleDimensions.get(j); + + for (Dimension jDim : jDims) dimensionList.add(jDim); + } + + System.out.println(dimensionList); + } + } + } else throw new IllegalStateException( "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); @@ -840,7 +911,7 @@ private TensorType getTensorType( + source + "."); - return null; + return ret; } private Map handleShapeSourceOp( From 8e10b2c4cc4b2203ec21a18b7b93bc71c19ef32b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 21 Jul 2025 10:52:57 -0400 Subject: [PATCH 008/253] Add more shape checks. --- .../wala/cast/python/ml/test/TestTensorflow2Model.java | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index d258fa752..5dbb6fb6d 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -873,11 +873,15 @@ public void testAdd7() Dimension aX = new NumericDim(1); Dimension aY = new NumericDim(2); + List> aDimensions = asList(aX, aY); + Dimension bX = new NumericDim(2); Dimension bY = new NumericDim(2); - TensorType expectedTypeForA = new TensorType("pixel", asList(aX, aY)); - TensorType expectedTypeForB = new TensorType("pixel", asList(bX, bY)); + List> bDimensions = asList(bX, bY); + + TensorType expectedTypeForA = new TensorType("pixel", aDimensions); + TensorType expectedTypeForB = new TensorType("pixel", bDimensions); test( "tf2_test_add7.py", From cc07365f1b3be9fe26df7210fd76fbf53dd1b541 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 21 Jul 2025 12:07:45 -0400 Subject: [PATCH 009/253] Progress. --- .../ml/client/PythonTensorAnalysisEngine.java | 40 ++++++++++--------- 1 file changed, 21 insertions(+), 19 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 5c0ffdb7b..e305215cf 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -4,6 +4,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; +import static java.util.Arrays.asList; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.ir.ssa.EachElementGetInstruction; @@ -51,12 +52,10 @@ import com.ibm.wala.util.graph.impl.SlowSparseNumberedGraph; import com.ibm.wala.util.intset.OrdinalSet; import java.io.File; -import java.util.ArrayList; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Set; -import java.util.TreeMap; import java.util.logging.Logger; public class PythonTensorAnalysisEngine extends PythonAnalysisEngine { @@ -735,8 +734,8 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) */ private Set getTensorType( PointsToSetVariable source, PropagationCallGraphBuilder builder) { - logger.info("Getting tensor types for source: " + source + "."); + Set ret = HashSetFactory.make(); // Get the pointer key for the source. @@ -769,10 +768,10 @@ private Set getTensorType( OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); - // We expect the object catalog to contain a list of integers. Each element in the map + // We expect the object catalog to contain a list of integers. Each element in the array // corresponds to the set of possible dimensions for that index. - Map>> indexToPossibleDimensions = - new TreeMap>>(); + @SuppressWarnings("unchecked") + Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; for (InstanceKey catalogIK : objectCatalogPointsToSet) { if (catalogIK instanceof ConstantKey) { @@ -847,14 +846,14 @@ private Set getTensorType( + "."); // Add the shape dimensions. - assert !indexToPossibleDimensions.containsKey(fieldIndex) + assert possibleDimensions[fieldIndex] == null : "Duplicate field index: " + fieldIndex + " in object catalog: " + objectCatalogPointsToSet + "."; - indexToPossibleDimensions.put(fieldIndex, tensorDimensions); + possibleDimensions[fieldIndex] = tensorDimensions; logger.fine( "Added shape dimensions: " + tensorDimensions @@ -877,23 +876,26 @@ private Set getTensorType( + "."); } - for (Integer i : indexToPossibleDimensions.keySet()) { - Set> iDims = indexToPossibleDimensions.get(i); - - for (Dimension iDim : iDims) { - List> dimensionList = new ArrayList<>(); - dimensionList.add(iDim); + for (int i = 0; i < possibleDimensions.length; i++) { + for (Dimension iDim : possibleDimensions[i]) { + @SuppressWarnings("unchecked") + Dimension[] dimensions = new Dimension[possibleDimensions.length]; - for (int j = i + 1; j < indexToPossibleDimensions.keySet().size(); j++) { - Set> jDims = indexToPossibleDimensions.get(j); + dimensions[i] = iDim; - for (Dimension jDim : jDims) dimensionList.add(jDim); + for (int j = 0; j < possibleDimensions.length; j++) { + if (i != j) { + for (Dimension jDim : possibleDimensions[j]) { + dimensions[j] = jDim; + } + } } - System.out.println(dimensionList); + List> dimensionList = asList(dimensions); + TensorType tensorType = new TensorType("pixel", dimensionList); + ret.add(tensorType); } } - } else throw new IllegalStateException( "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); From 278abab09f4eba00bf3f496a5d7109a6037902fb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 21 Jul 2025 12:27:49 -0400 Subject: [PATCH 010/253] Progress. --- .../wala/cast/python/ml/analysis/TensorTypeAnalysis.java | 7 ++++--- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 5 ++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java index ee2a41b90..bc748c1b1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java @@ -447,11 +447,11 @@ public String toString() { }; } - private final Map init; + private final Map> init; public TensorTypeAnalysis( Graph G, - Map init, + Map> init, Map reshapeTypes, Map set_shapes, Set conv2ds, @@ -480,7 +480,8 @@ protected TensorVariable[] makeStmtRHS(int size) { protected void initializeVariables() { super.initializeVariables(); for (PointsToSetVariable src : init.keySet()) { - getOut(src).state.add(init.get(src)); + Set tensorTypes = init.get(src); + getOut(src).state.addAll(tensorTypes); } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 2c8327247..bf6a96b7d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -715,9 +715,8 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Set conv3ds = getKeysDefinedByCall(conv3d, builder); - TensorTypeAnalysis tt = null; - // new TensorTypeAnalysis(dataflow, init, shapeOps, setCalls, conv2ds, conv3ds, - // errorLog); + TensorTypeAnalysis tt = + new TensorTypeAnalysis(dataflow, init, shapeOps, setCalls, conv2ds, conv3ds, errorLog); tt.solve(new NullProgressMonitor()); From 955fcf13ac8d3b1910c1e55e1ff285c9a966b094 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 21 Jul 2025 12:43:30 -0400 Subject: [PATCH 011/253] Progress. --- .../ml/client/PythonTensorAnalysisEngine.java | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index bf6a96b7d..900470d7e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -877,26 +877,21 @@ private Set getTensorType( + "."); } - for (int i = 0; i < possibleDimensions.length; i++) { + for (int i = 0; i < possibleDimensions.length; i++) for (Dimension iDim : possibleDimensions[i]) { @SuppressWarnings("unchecked") Dimension[] dimensions = new Dimension[possibleDimensions.length]; dimensions[i] = iDim; - for (int j = 0; j < possibleDimensions.length; j++) { - if (i != j) { - for (Dimension jDim : possibleDimensions[j]) { - dimensions[j] = jDim; - } - } - } + for (int j = 0; j < possibleDimensions.length; j++) + if (i != j) + for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; List> dimensionList = asList(dimensions); TensorType tensorType = new TensorType("pixel", dimensionList); ret.add(tensorType); } - } } else throw new IllegalStateException( "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); From 7a16f49136a0bff031e4e6c151744a03248b3602 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 22 Jul 2025 16:27:26 -0400 Subject: [PATCH 012/253] Add tests Add a test for specifying a dtype. --- .../python/ml/test/TestTensorflow2Model.java | 24 +++++++++++++++++++ .../data/tf2_test_add116.py | 17 +++++++++++++ 2 files changed, 41 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add116.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 645e73b94..33ee99c31 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1551,6 +1551,30 @@ public void testAdd115() test("tf2_test_add115.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); } + @Test + public void testAdd116() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + Dimension aX = new NumericDim(1); + Dimension aY = new NumericDim(2); + + List> aDimensions = asList(aX, aY); + + Dimension bX = new NumericDim(2); + Dimension bY = new NumericDim(2); + + List> bDimensions = asList(bX, bY); + + TensorType expectedTypeForA = new TensorType("pixel", aDimensions); + TensorType expectedTypeForB = new TensorType("pixel", bDimensions); + + test( + "tf2_test_add7.py", + "add", + 2, + 2, + Map.of(2, Set.of(expectedTypeForA), 3, Set.of(expectedTypeForB))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add116.py b/com.ibm.wala.cast.python.test/data/tf2_test_add116.py new file mode 100644 index 000000000..55ebbe20e --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add116.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def add(a, b): + assert a.shape == (1, 2), f"Expected shape (1, 2), got {a.shape}" + assert b.shape == (2, 2), f"Expected shape (2, 2), got {b.shape}" + + assert a.dtype == tf.float32, f"Expected dtype float32, got {a.dtype}" + assert b.dtype == tf.float32, f"Expected dtype float32, got {b.dtype}" + + return a + b + + +c = add(tf.ones([1, 2], tf.float32), tf.ones([2, 2], tf.float32)) + +assert c.shape == (2, 2), f"Expected shape (2, 2), got {c.shape}" +assert c.dtype == tf.float32, f"Expected dtype float32, got {c.dtype}" From b5e180206d07548929b574eb858cd1602dd17f16 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 22 Jul 2025 16:29:20 -0400 Subject: [PATCH 013/253] Add comment. Need to handle keyword args. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 900470d7e..17dd3bb2b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -752,6 +752,7 @@ private Set getTensorType( if (calledFunction.equals(ONES.getDeclaringClass())) { // This is a call to `ones()`. The shape is in the first explicit argument. PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + // FIXME: Handle keyword arguments. PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePointerKey); From cb03d9e4fe91ee8b5e3dbb66913cb65929227414 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 22 Jul 2025 16:31:03 -0400 Subject: [PATCH 014/253] Add launch config. Plain Maven test. --- Maven test.launch | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 Maven test.launch diff --git a/Maven test.launch b/Maven test.launch new file mode 100644 index 000000000..2d87ad82e --- /dev/null +++ b/Maven test.launch @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + From 31225398c9f67c802fcb89b4713ac0aacc6c87bf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 30 Jul 2025 14:21:34 -0400 Subject: [PATCH 015/253] Progress. --- .../data/tensorflow.xml | 20 +++++++++++++++++++ .../ml/client/PythonTensorAnalysisEngine.java | 10 ++++++++++ .../cast/python/ml/types/TensorFlowTypes.java | 3 +++ 3 files changed, 33 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index da59452d1..3f8cf05a7 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -154,6 +154,9 @@ + + + @@ -218,6 +221,14 @@ + + + + + + + + @@ -314,6 +325,15 @@ + + + + + + + + + diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 17dd3bb2b..39533d4d1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -897,6 +897,16 @@ private Set getTensorType( throw new IllegalStateException( "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); } + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + if (dTypePointsToSet.isEmpty()) { + // Use the default dtype of float32. + } + } else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index dbe791c2b..b0ac509b4 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -17,5 +17,8 @@ public class TensorFlowTypes extends PythonTypes { public static final TypeReference DATASET = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/data/Dataset")); + public static final TypeReference D_TYPE = + TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/dtypes/DType")); + private TensorFlowTypes() {} } From 72337c96a9cea904e3c532917ee5346275b324ff Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 31 Jul 2025 07:13:53 -0700 Subject: [PATCH 016/253] Progress. --- .../data/tensorflow.xml | 10 +-- .../ml/client/PythonTensorAnalysisEngine.java | 77 ++++++++++++++++++- .../data/tf2_test_add7.py | 2 +- 3 files changed, 80 insertions(+), 9 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index 3f8cf05a7..36e3702f6 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -221,12 +221,8 @@ - - - - - + @@ -325,10 +321,12 @@ + + - + diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 39533d4d1..d568e284a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -2,8 +2,11 @@ import static com.google.common.collect.Sets.newHashSet; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; @@ -11,6 +14,7 @@ import com.ibm.wala.cast.lsp.AnalysisError; import com.ibm.wala.cast.python.client.PythonAnalysisEngine; import com.ibm.wala.cast.python.ml.analysis.TensorTypeAnalysis; +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; import com.ibm.wala.cast.python.ml.types.TensorType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; @@ -22,10 +26,12 @@ import com.ibm.wala.classLoader.IClass; import com.ibm.wala.classLoader.IField; import com.ibm.wala.classLoader.IMethod; +import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.core.util.strings.Atom; import com.ibm.wala.ipa.callgraph.AnalysisOptions; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.CallGraph; +import com.ibm.wala.ipa.callgraph.ContextItem; import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConcreteTypeKey; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; @@ -36,10 +42,12 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.ipa.callgraph.propagation.PropagationSystem; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; import com.ibm.wala.ipa.cha.IClassHierarchy; import com.ibm.wala.ssa.DefUse; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.ssa.SSAInstruction; +import com.ibm.wala.types.Descriptor; import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.MethodReference; import com.ibm.wala.types.TypeName; @@ -55,6 +63,7 @@ import java.util.Iterator; import java.util.List; import java.util.Map; +import java.util.Optional; import java.util.Set; import java.util.logging.Logger; @@ -115,6 +124,12 @@ public PythonTensorAnalysisEngine(List pythonPath) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), AstMethodReference.fnSelector); + private static final MethodReference IMPORT = + MethodReference.findOrCreate( + TENSORFLOW, + Atom.findOrCreateAsciiAtom("import"), + Descriptor.findOrCreate(null, TENSORFLOW.getName())); + private static final MethodReference ENUMERATE = MethodReference.findOrCreate( TypeReference.findOrCreate( @@ -786,7 +801,7 @@ private Set getTensorType( FieldReference subscript = FieldReference.findOrCreate( PythonTypes.Root, - Atom.findOrCreateUnicodeAtom(fieldIndex.toString()), + Atom.findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); IField f = getClassHierarchy().resolveField(subscript); @@ -904,7 +919,65 @@ private Set getTensorType( OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); if (dTypePointsToSet.isEmpty()) { - // Use the default dtype of float32. + // TODO: Use the default dtype of float32. + } else { // there's an explicit argument. + for (InstanceKey dTypeIK : dTypePointsToSet) { + IClass concreteType = dTypeIK.getConcreteType(); + TypeReference typeReference = concreteType.getReference(); + + if (typeReference.equals(TensorFlowTypes.D_TYPE)) { + // we have a dtype. + // let's see if it's float32. + Set importNodes = builder.getCallGraph().getNodes(IMPORT); + + // find the import node from this file. + Optional importNode = + importNodes.stream() + .filter( + in -> { + ContextItem contextItem = in.getContext().get(CALL_STRING); + CallString cs = (CallString) contextItem; + IMethod method = cs.getMethods()[0]; + CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + return method.equals(nodeCS.getMethods()[0]); + }) + .findFirst(); + + System.out.println(importNode); + + InstanceKey tensorFlowIK = + pointerAnalysis + .getHeapModel() + .getInstanceKeyForAllocation( + importNode.get(), NewSiteReference.make(0, TENSORFLOW)); + System.out.println(tensorFlowIK); + + FieldReference float32 = + FieldReference.findOrCreate( + PythonTypes.Root, Atom.findOrCreateAsciiAtom("float32"), D_TYPE); + System.out.println(float32); + + IField float32Field = getClassHierarchy().resolveField(float32); + + PointerKey float32PK = + pointerAnalysis + .getHeapModel() + .getPointerKeyForInstanceField(tensorFlowIK, float32Field); + + OrdinalSet float32Instances = pointerAnalysis.getPointsToSet(float32PK); + + for (InstanceKey float32IK : float32Instances) { + System.out.println(float32IK); + + if (float32IK.equals(dTypeIK)) { + // We've found a float32. + System.out.println("Here"); + // TODO: Add each found type to the tensor types being returned? But, it could be + // those not including float32? + } + } + } + } } } else diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py index dc4eb2017..55ebbe20e 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py @@ -11,7 +11,7 @@ def add(a, b): return a + b -c = add(tf.ones([1, 2]), tf.ones([2, 2])) +c = add(tf.ones([1, 2], tf.float32), tf.ones([2, 2], tf.float32)) assert c.shape == (2, 2), f"Expected shape (2, 2), got {c.shape}" assert c.dtype == tf.float32, f"Expected dtype float32, got {c.dtype}" From 5f4184c9948284a8a8a6ac64fb96b0afddd60079 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 12:01:51 -0400 Subject: [PATCH 017/253] Remove arguments from test. We have them in another test. --- com.ibm.wala.cast.python.test/data/tf2_test_add7.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py index 55ebbe20e..dc4eb2017 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add7.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add7.py @@ -11,7 +11,7 @@ def add(a, b): return a + b -c = add(tf.ones([1, 2], tf.float32), tf.ones([2, 2], tf.float32)) +c = add(tf.ones([1, 2]), tf.ones([2, 2])) assert c.shape == (2, 2), f"Expected shape (2, 2), got {c.shape}" assert c.dtype == tf.float32, f"Expected dtype float32, got {c.dtype}" From 759245d20682624d1c25293d51c26ac0276de0f6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 12:30:17 -0400 Subject: [PATCH 018/253] Fix test. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 33ee99c31..560dd1681 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1568,7 +1568,7 @@ public void testAdd116() TensorType expectedTypeForB = new TensorType("pixel", bDimensions); test( - "tf2_test_add7.py", + "tf2_test_add116.py", "add", 2, 2, From b40a6ccaeb893b48166518cf99fb4454281e1daf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 12:33:22 -0400 Subject: [PATCH 019/253] Cleanup. --- .../ml/client/PythonTensorAnalysisEngine.java | 27 ++++++++++++------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index d568e284a..ad67b6c74 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -937,25 +937,38 @@ private Set getTensorType( in -> { ContextItem contextItem = in.getContext().get(CALL_STRING); CallString cs = (CallString) contextItem; + + // We expect the first method in the call string to be the import. + assert cs.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + cs.getMethods().length + + " for node: " + + in; + IMethod method = cs.getMethods()[0]; + CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + + // We expect the first method in the call string to be the import. + assert nodeCS.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + nodeCS.getMethods().length + + " for node: " + + in; + return method.equals(nodeCS.getMethods()[0]); }) .findFirst(); - System.out.println(importNode); - InstanceKey tensorFlowIK = pointerAnalysis .getHeapModel() .getInstanceKeyForAllocation( importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - System.out.println(tensorFlowIK); FieldReference float32 = FieldReference.findOrCreate( PythonTypes.Root, Atom.findOrCreateAsciiAtom("float32"), D_TYPE); - System.out.println(float32); IField float32Field = getClassHierarchy().resolveField(float32); @@ -964,11 +977,7 @@ private Set getTensorType( .getHeapModel() .getPointerKeyForInstanceField(tensorFlowIK, float32Field); - OrdinalSet float32Instances = pointerAnalysis.getPointsToSet(float32PK); - - for (InstanceKey float32IK : float32Instances) { - System.out.println(float32IK); - + for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) { if (float32IK.equals(dTypeIK)) { // We've found a float32. System.out.println("Here"); From 7d894dd29680af59dc6a4c855428f182a4f38341 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 13:22:51 -0400 Subject: [PATCH 020/253] Inline variable. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index ad67b6c74..7fd9726bb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -769,9 +769,8 @@ private Set getTensorType( PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // FIXME: Handle keyword arguments. PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePointerKey); - for (InstanceKey shapeIK : shapePointsToSet) { + for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePointerKey)) { AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); IClass concreteType = asin.getConcreteType(); TypeReference reference = concreteType.getReference(); From 9baab677a7027cfd9fa8f63b7c1b78fb37efe653 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 13:28:27 -0400 Subject: [PATCH 021/253] Throw an exception on unknown dtypes. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 7fd9726bb..4e649f210 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -982,12 +982,11 @@ private Set getTensorType( System.out.println("Here"); // TODO: Add each found type to the tensor types being returned? But, it could be // those not including float32? - } + } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); } } } } - } else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); From 42f7d9b4a1e123c8d1a5fa1b37e1715760a4cd4b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 15:38:13 -0400 Subject: [PATCH 022/253] Finish the float32 dtype. --- .../ml/client/PythonTensorAnalysisEngine.java | 49 ++++++++++++++----- .../cast/python/ml/types/TensorFlowTypes.java | 20 ++++++++ 2 files changed, 56 insertions(+), 13 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 4e649f210..6f12b9dde 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -2,10 +2,12 @@ import static com.google.common.collect.Sets.newHashSet; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; +import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; @@ -15,6 +17,7 @@ import com.ibm.wala.cast.python.client.PythonAnalysisEngine; import com.ibm.wala.cast.python.ml.analysis.TensorTypeAnalysis; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; @@ -27,7 +30,6 @@ import com.ibm.wala.classLoader.IField; import com.ibm.wala.classLoader.IMethod; import com.ibm.wala.classLoader.NewSiteReference; -import com.ibm.wala.core.util.strings.Atom; import com.ibm.wala.ipa.callgraph.AnalysisOptions; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.CallGraph; @@ -60,6 +62,7 @@ import com.ibm.wala.util.graph.impl.SlowSparseNumberedGraph; import com.ibm.wala.util.intset.OrdinalSet; import java.io.File; +import java.util.EnumSet; import java.util.Iterator; import java.util.List; import java.util.Map; @@ -127,7 +130,7 @@ public PythonTensorAnalysisEngine(List pythonPath) { private static final MethodReference IMPORT = MethodReference.findOrCreate( TENSORFLOW, - Atom.findOrCreateAsciiAtom("import"), + findOrCreateAsciiAtom("import"), Descriptor.findOrCreate(null, TENSORFLOW.getName())); private static final MethodReference ENUMERATE = @@ -752,7 +755,8 @@ private Set getTensorType( PointsToSetVariable source, PropagationCallGraphBuilder builder) { logger.info("Getting tensor types for source: " + source + "."); - Set ret = HashSetFactory.make(); + Set>> possibleShapes = HashSetFactory.make(); + EnumSet possibleDTypes = EnumSet.noneOf(DType.class); // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -800,7 +804,7 @@ private Set getTensorType( FieldReference subscript = FieldReference.findOrCreate( PythonTypes.Root, - Atom.findOrCreateAsciiAtom(fieldIndex.toString()), + findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); IField f = getClassHierarchy().resolveField(subscript); @@ -903,9 +907,7 @@ private Set getTensorType( if (i != j) for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; - List> dimensionList = asList(dimensions); - TensorType tensorType = new TensorType("pixel", dimensionList); - ret.add(tensorType); + possibleShapes.add(asList(dimensions)); } } else throw new IllegalStateException( @@ -918,7 +920,14 @@ private Set getTensorType( OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); if (dTypePointsToSet.isEmpty()) { - // TODO: Use the default dtype of float32. + // Use the default dtype of float32. + possibleDTypes.add(FLOAT32); + logger.info( + "No dtype specified for source: " + + source + + ". Using default dtype of: " + + FLOAT32 + + " ."); } else { // there's an explicit argument. for (InstanceKey dTypeIK : dTypePointsToSet) { IClass concreteType = dTypeIK.getConcreteType(); @@ -967,7 +976,9 @@ private Set getTensorType( FieldReference float32 = FieldReference.findOrCreate( - PythonTypes.Root, Atom.findOrCreateAsciiAtom("float32"), D_TYPE); + PythonTypes.Root, + findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), + D_TYPE); IField float32Field = getClassHierarchy().resolveField(float32); @@ -978,10 +989,15 @@ private Set getTensorType( for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) { if (float32IK.equals(dTypeIK)) { - // We've found a float32. - System.out.println("Here"); - // TODO: Add each found type to the tensor types being returned? But, it could be - // those not including float32? + possibleDTypes.add(FLOAT32); + logger.info( + "Found dtype: " + + FLOAT32 + + " for source: " + + source + + " from dType: " + + dTypeIK + + "."); } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); } } @@ -1000,6 +1016,13 @@ private Set getTensorType( + source + "."); + Set ret = HashSetFactory.make(); + + // Create a tensor type for each possible shape and dtype combination. + for (List> dimensionList : possibleShapes) + for (DType dtype : possibleDTypes) + ret.add(new TensorType(dtype.name().toLowerCase(), dimensionList)); + return ret; } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index b0ac509b4..f0a392aa7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -11,12 +11,32 @@ */ public class TensorFlowTypes extends PythonTypes { + /** + * Defined data types used in TensorFlow. + * + * @see TensorFlow + * dtypes. + * @author Raffi Khatchadourian + */ + public enum DType { + FLOAT32, + FLOAT64, + INT32, + INT64, + STRING; + } + public static final TypeReference TENSORFLOW = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow")); public static final TypeReference DATASET = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/data/Dataset")); + /** + * Represents the TensorFlow data type. + * + * @see TensorFlow DType. + */ public static final TypeReference D_TYPE = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/dtypes/DType")); From 4a60ffd08efa93a5980ace85794c49df3acda074 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 15:49:50 -0400 Subject: [PATCH 023/253] Cleanup. --- .../ml/client/PythonTensorAnalysisEngine.java | 438 ++++++++---------- 1 file changed, 196 insertions(+), 242 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 6f12b9dde..b6706212a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -5,6 +5,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; @@ -761,260 +762,213 @@ private Set getTensorType( // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); - if (pointerKey instanceof LocalPointerKey) { - LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; - CGNode node = localPointerKey.getNode(); + LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; + CGNode node = localPointerKey.getNode(); - TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); - logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); - - if (calledFunction.equals(ONES.getDeclaringClass())) { - // This is a call to `ones()`. The shape is in the first explicit argument. - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - // FIXME: Handle keyword arguments. - PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePointerKey)) { - AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); - IClass concreteType = asin.getConcreteType(); - TypeReference reference = concreteType.getReference(); - - if (reference.equals(PythonTypes.list)) { - // We have a list of integers that represent the shape. - AstPointerKeyFactory pointerKeyFactory = - (AstPointerKeyFactory) builder.getPointerKeyFactory(); - PointerKey pointerKeyForObjectCatalog = - pointerKeyFactory.getPointerKeyForObjectCatalog(asin); - OrdinalSet objectCatalogPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); - - // We expect the object catalog to contain a list of integers. Each element in the array - // corresponds to the set of possible dimensions for that index. - @SuppressWarnings("unchecked") - Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; - - for (InstanceKey catalogIK : objectCatalogPointsToSet) { - if (catalogIK instanceof ConstantKey) { - ConstantKey constantKey = (ConstantKey) catalogIK; - Object constantKeyValue = constantKey.getValue(); - - if (constantKeyValue instanceof Integer) { - Integer fieldIndex = (Integer) constantKeyValue; - - FieldReference subscript = - FieldReference.findOrCreate( - PythonTypes.Root, - findOrCreateAsciiAtom(fieldIndex.toString()), - PythonTypes.Root); - - IField f = getClassHierarchy().resolveField(subscript); - logger.fine("Found field: " + f); - - // We can now get the pointer key for the instance field. - PointerKey pointerKeyForInstanceField = - builder.getPointerKeyForInstanceField(asin, f); - logger.fine( - "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); - - // Get the points-to set for the instance field. - OrdinalSet instanceFieldPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); - logger.fine( - "Points-to set for instance field: " + instanceFieldPointsToSet + "."); - - // If the instance field points to a constant, we can use it as the shape. - Set> tensorDimensions = HashSetFactory.make(); - - for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { - if (instanceFieldIK instanceof ConstantKey) { - ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; - Object instanceFieldValue = instanceFieldConstant.getValue(); - - if (instanceFieldValue instanceof Long) { - // We have a shape value. - Long shapeValue = (Long) instanceFieldValue; - logger.fine( - "Found shape value: " + shapeValue + " for " + pointerKey + "."); - - Dimension dimension = new NumericDim(shapeValue.intValue()); - - logger.fine("Adding dimension: " + dimension + "."); - tensorDimensions.add(dimension); - } else - throw new IllegalStateException( - "Expected a " - + Long.class - + "for the shape, but got: " - + instanceFieldValue - + "."); - } else - throw new IllegalStateException( - "Expected a " - + ConstantKey.class - + " for the instance field, but got: " - + instanceFieldIK - + "."); - } - - logger.info( - "Found possible shape dimensions: " - + tensorDimensions - + " for field: " - + pointerKeyForInstanceField - + " for source: " - + source - + "."); - - // Add the shape dimensions. - assert possibleDimensions[fieldIndex] == null - : "Duplicate field index: " - + fieldIndex - + " in object catalog: " - + objectCatalogPointsToSet - + "."; - - possibleDimensions[fieldIndex] = tensorDimensions; - logger.fine( - "Added shape dimensions: " - + tensorDimensions - + " for field index: " - + fieldIndex - + "."); - } else - throw new IllegalStateException( - "Expected an " - + Integer.class - + " for the object catalog value, but got: " - + constantKeyValue - + "."); - } else - throw new IllegalStateException( - "Expected a " - + ConstantKey.class - + " for the object catalog, but got: " - + catalogIK - + "."); + TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); + logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); + + if (calledFunction.equals(ONES.getDeclaringClass())) { + // This is a call to `ones()`. The shape is in the first explicit argument. + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + // TODO: Handle keyword arguments. + PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + + for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePointerKey)) { + AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); + IClass concreteType = asin.getConcreteType(); + TypeReference reference = concreteType.getReference(); + + if (reference.equals(list)) { + // We have a list of integers that represent the shape. + AstPointerKeyFactory pointerKeyFactory = + (AstPointerKeyFactory) builder.getPointerKeyFactory(); + PointerKey pointerKeyForObjectCatalog = + pointerKeyFactory.getPointerKeyForObjectCatalog(asin); + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); + + // We expect the object catalog to contain a list of integers. Each element in the array + // corresponds to the set of possible dimensions for that index. + @SuppressWarnings("unchecked") + Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, + findOrCreateAsciiAtom(fieldIndex.toString()), + PythonTypes.Root); + + IField f = getClassHierarchy().resolveField(subscript); + logger.fine("Found field: " + f); + + // We can now get the pointer key for the instance field. + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + logger.fine( + "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + // Get the points-to set for the instance field. + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + logger.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + // If the instance field points to a constant, we can use it as the shape. + Set> tensorDimensions = HashSetFactory.make(); + + for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { + ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; + Object instanceFieldValue = instanceFieldConstant.getValue(); + + // We have a shape value. + Long shapeValue = (Long) instanceFieldValue; + logger.fine("Found shape value: " + shapeValue + " for " + pointerKey + "."); + + Dimension dimension = new NumericDim(shapeValue.intValue()); + + logger.fine("Adding dimension: " + dimension + "."); + tensorDimensions.add(dimension); } - for (int i = 0; i < possibleDimensions.length; i++) - for (Dimension iDim : possibleDimensions[i]) { - @SuppressWarnings("unchecked") - Dimension[] dimensions = new Dimension[possibleDimensions.length]; + logger.info( + "Found possible shape dimensions: " + + tensorDimensions + + " for field: " + + pointerKeyForInstanceField + + " for source: " + + source + + "."); + + // Add the shape dimensions. + assert possibleDimensions[fieldIndex] == null + : "Duplicate field index: " + + fieldIndex + + " in object catalog: " + + objectCatalogPointsToSet + + "."; + + possibleDimensions[fieldIndex] = tensorDimensions; + logger.fine( + "Added shape dimensions: " + + tensorDimensions + + " for field index: " + + fieldIndex + + "."); + } - dimensions[i] = iDim; + for (int i = 0; i < possibleDimensions.length; i++) + for (Dimension iDim : possibleDimensions[i]) { + @SuppressWarnings("unchecked") + Dimension[] dimensions = new Dimension[possibleDimensions.length]; - for (int j = 0; j < possibleDimensions.length; j++) - if (i != j) - for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; + dimensions[i] = iDim; - possibleShapes.add(asList(dimensions)); - } - } else - throw new IllegalStateException( - "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); - } + for (int j = 0; j < possibleDimensions.length; j++) + if (i != j) + for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); - - if (dTypePointsToSet.isEmpty()) { - // Use the default dtype of float32. - possibleDTypes.add(FLOAT32); - logger.info( - "No dtype specified for source: " - + source - + ". Using default dtype of: " - + FLOAT32 - + " ."); - } else { // there's an explicit argument. - for (InstanceKey dTypeIK : dTypePointsToSet) { - IClass concreteType = dTypeIK.getConcreteType(); - TypeReference typeReference = concreteType.getReference(); - - if (typeReference.equals(TensorFlowTypes.D_TYPE)) { - // we have a dtype. - // let's see if it's float32. - Set importNodes = builder.getCallGraph().getNodes(IMPORT); - - // find the import node from this file. - Optional importNode = - importNodes.stream() - .filter( - in -> { - ContextItem contextItem = in.getContext().get(CALL_STRING); - CallString cs = (CallString) contextItem; - - // We expect the first method in the call string to be the import. - assert cs.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + cs.getMethods().length - + " for node: " - + in; - - IMethod method = cs.getMethods()[0]; - - CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); - - // We expect the first method in the call string to be the import. - assert nodeCS.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + nodeCS.getMethods().length - + " for node: " - + in; - - return method.equals(nodeCS.getMethods()[0]); - }) - .findFirst(); - - InstanceKey tensorFlowIK = - pointerAnalysis - .getHeapModel() - .getInstanceKeyForAllocation( - importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - - FieldReference float32 = - FieldReference.findOrCreate( - PythonTypes.Root, - findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), - D_TYPE); - - IField float32Field = getClassHierarchy().resolveField(float32); - - PointerKey float32PK = - pointerAnalysis - .getHeapModel() - .getPointerKeyForInstanceField(tensorFlowIK, float32Field); - - for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) { - if (float32IK.equals(dTypeIK)) { - possibleDTypes.add(FLOAT32); - logger.info( - "Found dtype: " - + FLOAT32 - + " for source: " - + source - + " from dType: " - + dTypeIK - + "."); - } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); - } + possibleShapes.add(asList(dimensions)); + } + } else + throw new IllegalStateException( + "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); + } + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + if (dTypePointsToSet.isEmpty()) { + // Use the default dtype of float32. + possibleDTypes.add(FLOAT32); + logger.info( + "No dtype specified for source: " + + source + + ". Using default dtype of: " + + FLOAT32 + + " ."); + } else { // there's an explicit argument. + for (InstanceKey dTypeIK : dTypePointsToSet) { + IClass concreteType = dTypeIK.getConcreteType(); + TypeReference typeReference = concreteType.getReference(); + + if (typeReference.equals(TensorFlowTypes.D_TYPE)) { + // we have a dtype. + // let's see if it's float32. + Set importNodes = builder.getCallGraph().getNodes(IMPORT); + + // find the import node from this file. + Optional importNode = + importNodes.stream() + .filter( + in -> { + ContextItem contextItem = in.getContext().get(CALL_STRING); + CallString cs = (CallString) contextItem; + + // We expect the first method in the call string to be the import. + assert cs.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + cs.getMethods().length + + " for node: " + + in; + + IMethod method = cs.getMethods()[0]; + + CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + + // We expect the first method in the call string to be the import. + assert nodeCS.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + nodeCS.getMethods().length + + " for node: " + + in; + + return method.equals(nodeCS.getMethods()[0]); + }) + .findFirst(); + + InstanceKey tensorFlowIK = + pointerAnalysis + .getHeapModel() + .getInstanceKeyForAllocation( + importNode.get(), NewSiteReference.make(0, TENSORFLOW)); + + FieldReference float32 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + + IField float32Field = getClassHierarchy().resolveField(float32); + + PointerKey float32PK = + pointerAnalysis + .getHeapModel() + .getPointerKeyForInstanceField(tensorFlowIK, float32Field); + + for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) { + if (float32IK.equals(dTypeIK)) { + possibleDTypes.add(FLOAT32); + logger.info( + "Found dtype: " + + FLOAT32 + + " for source: " + + source + + " from dType: " + + dTypeIK + + "."); + } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); } } } - } else - throw new IllegalArgumentException( - "Unknown call: " + calledFunction + " for source: " + source + "."); + } } else throw new IllegalArgumentException( - "Expected a " - + LocalPointerKey.class - + ", but got: " - + pointerKey.getClass() - + " for source: " - + source - + "."); + "Unknown call: " + calledFunction + " for source: " + source + "."); Set ret = HashSetFactory.make(); From 61e66177591e76a848072a751764d52545e47363 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 1 Aug 2025 16:25:09 -0400 Subject: [PATCH 024/253] Use constant for dtype in tests. --- .../cast/python/ml/test/TestTensorflow2Model.java | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 560dd1681..2eafea7a9 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1,5 +1,6 @@ package com.ibm.wala.cast.python.ml.test; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorType.mnistInput; import static com.ibm.wala.cast.python.util.Util.addPytestEntrypoints; import static java.util.Arrays.asList; @@ -58,6 +59,8 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType MNIST_INPUT = mnistInput(); + private static final String FLOAT_32 = FLOAT32.name().toLowerCase(); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -880,8 +883,8 @@ public void testAdd7() List> bDimensions = asList(bX, bY); - TensorType expectedTypeForA = new TensorType("pixel", aDimensions); - TensorType expectedTypeForB = new TensorType("pixel", bDimensions); + TensorType expectedTypeForA = new TensorType(FLOAT_32, aDimensions); + TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); test( "tf2_test_add7.py", @@ -1564,8 +1567,8 @@ public void testAdd116() List> bDimensions = asList(bX, bY); - TensorType expectedTypeForA = new TensorType("pixel", aDimensions); - TensorType expectedTypeForB = new TensorType("pixel", bDimensions); + TensorType expectedTypeForA = new TensorType(FLOAT_32, aDimensions); + TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); test( "tf2_test_add116.py", From 50478441725f469b7e9004de0794a2ff024c34d4 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 8 Aug 2025 17:33:12 -0400 Subject: [PATCH 025/253] Add notes. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index b6706212a..87ea763d6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -709,7 +709,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) init.put(e.getKey(), Set.of(e.getValue())); Map setCalls = HashMapFactory.make(); - Map set_shapes = getShapeSourceCalls(set_shape, builder, 1); + Map set_shapes = getShapeSourceCalls(set_shape, builder, 1); // TODO: What if you used tf.ones() here? for (Map.Entry x : set_shapes.entrySet()) { LocalPointerKey localPointerKey = (LocalPointerKey) x.getKey().getPointerKey(); @@ -768,7 +768,7 @@ private Set getTensorType( TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); - if (calledFunction.equals(ONES.getDeclaringClass())) { + if (calledFunction.equals(ONES.getDeclaringClass())) { // TODO: This can also be a tuple of Tensor. // This is a call to `ones()`. The shape is in the first explicit argument. PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // TODO: Handle keyword arguments. @@ -819,6 +819,7 @@ private Set getTensorType( logger.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); // If the instance field points to a constant, we can use it as the shape. + // TODO: Is it possible to also do it for (simple) expressions? Set> tensorDimensions = HashSetFactory.make(); for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { From e9969bd1f7043adf50f79da54f8836343be3dc9c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 11:57:18 -0400 Subject: [PATCH 026/253] Format. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 87ea763d6..e66159ffc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -709,7 +709,8 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) init.put(e.getKey(), Set.of(e.getValue())); Map setCalls = HashMapFactory.make(); - Map set_shapes = getShapeSourceCalls(set_shape, builder, 1); // TODO: What if you used tf.ones() here? + Map set_shapes = + getShapeSourceCalls(set_shape, builder, 1); // TODO: What if you used tf.ones() here? for (Map.Entry x : set_shapes.entrySet()) { LocalPointerKey localPointerKey = (LocalPointerKey) x.getKey().getPointerKey(); @@ -768,7 +769,8 @@ private Set getTensorType( TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); - if (calledFunction.equals(ONES.getDeclaringClass())) { // TODO: This can also be a tuple of Tensor. + if (calledFunction.equals( + ONES.getDeclaringClass())) { // TODO: This can also be a tuple of Tensor. // This is a call to `ones()`. The shape is in the first explicit argument. PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // TODO: Handle keyword arguments. From ad5993ced420897b988b552af40e4a09422b4517 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 13:19:05 -0400 Subject: [PATCH 027/253] Remove TODO. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index e66159ffc..45829a624 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -709,8 +709,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) init.put(e.getKey(), Set.of(e.getValue())); Map setCalls = HashMapFactory.make(); - Map set_shapes = - getShapeSourceCalls(set_shape, builder, 1); // TODO: What if you used tf.ones() here? + Map set_shapes = getShapeSourceCalls(set_shape, builder, 1); for (Map.Entry x : set_shapes.entrySet()) { LocalPointerKey localPointerKey = (LocalPointerKey) x.getKey().getPointerKey(); From 969319be46ecf8a56ff94c20da9fb024eb50a2e4 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 13:45:32 -0400 Subject: [PATCH 028/253] Move TODO. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 45829a624..6e7fc3060 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -768,8 +768,7 @@ private Set getTensorType( TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); - if (calledFunction.equals( - ONES.getDeclaringClass())) { // TODO: This can also be a tuple of Tensor. + if (calledFunction.equals(ONES.getDeclaringClass())) { // This is a call to `ones()`. The shape is in the first explicit argument. PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // TODO: Handle keyword arguments. @@ -780,7 +779,7 @@ private Set getTensorType( IClass concreteType = asin.getConcreteType(); TypeReference reference = concreteType.getReference(); - if (reference.equals(list)) { + if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. // We have a list of integers that represent the shape. AstPointerKeyFactory pointerKeyFactory = (AstPointerKeyFactory) builder.getPointerKeyFactory(); From fc5b67ccc124c0f5413ef18d4ab24cd96ce2812b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 15:44:21 -0400 Subject: [PATCH 029/253] Inline variable. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 6e7fc3060..fb8ec042d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -776,8 +776,7 @@ private Set getTensorType( for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePointerKey)) { AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); - IClass concreteType = asin.getConcreteType(); - TypeReference reference = concreteType.getReference(); + TypeReference reference = asin.getConcreteType().getReference(); if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. // We have a list of integers that represent the shape. From 24196c19675c699c079c86b9e3b08fa6dbd978fc Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 15:44:29 -0400 Subject: [PATCH 030/253] Inline variable. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index fb8ec042d..7a7cd4de8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -780,10 +780,8 @@ private Set getTensorType( if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. // We have a list of integers that represent the shape. - AstPointerKeyFactory pointerKeyFactory = - (AstPointerKeyFactory) builder.getPointerKeyFactory(); PointerKey pointerKeyForObjectCatalog = - pointerKeyFactory.getPointerKeyForObjectCatalog(asin); + ((AstPointerKeyFactory) builder.getPointerKeyFactory()).getPointerKeyForObjectCatalog(asin); OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); From c5f30e167fc1189ecdf31b5a92fa985df9d36c96 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 15:44:38 -0400 Subject: [PATCH 031/253] Alter log. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 7a7cd4de8..814f7e93e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -766,7 +766,7 @@ private Set getTensorType( CGNode node = localPointerKey.getNode(); TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); - logger.info("Getting tensor type for call to: " + calledFunction.getName() + "."); + logger.info("Getting possible tensor types for call to: " + calledFunction.getName() + "."); if (calledFunction.equals(ONES.getDeclaringClass())) { // This is a call to `ones()`. The shape is in the first explicit argument. From 58f65f4079b10d4dc026c2557ed5f52b439dda11 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 17:48:22 -0400 Subject: [PATCH 032/253] Add test. --- .../python/ml/test/TestTensorflow2Model.java | 30 +++++++++++++++++++ .../data/tf2_test_add117.py | 14 +++++++++ 2 files changed, 44 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add117.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 2eafea7a9..d3adc482c 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1578,6 +1578,36 @@ public void testAdd116() Map.of(2, Set.of(expectedTypeForA), 3, Set.of(expectedTypeForB))); } + @Test + public void testAdd117() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + Dimension aX1 = new NumericDim(1); + Dimension aY1 = new NumericDim(2); + + List> aDimensions1 = asList(aX1, aY1); + + Dimension aX2 = new NumericDim(3); + Dimension aY2 = new NumericDim(2); + + List> aDimensions2 = asList(aX2, aY2); + + Dimension bX = new NumericDim(2); + Dimension bY = new NumericDim(2); + + List> bDimensions = asList(bX, bY); + + TensorType expectedTypeForA1 = new TensorType(FLOAT_32, aDimensions1); + TensorType expectedTypeForA2 = new TensorType(FLOAT_32, aDimensions2); + TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); + + test( + "tf2_test_add117.py", + "add", + 2, + 2, + Map.of(2, Set.of(expectedTypeForA1, expectedTypeForA2), 3, Set.of(expectedTypeForB))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add117.py b/com.ibm.wala.cast.python.test/data/tf2_test_add117.py new file mode 100644 index 000000000..fe3255a50 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add117.py @@ -0,0 +1,14 @@ +import tensorflow as tf +import random + + +def add(a, b): + return a + b + + +if random.random() < 0.5: + a = 1 +else: + a = 3 + +c = add(tf.ones([a, 2]), tf.ones([2, 2])) From 1bbccc81c4b581b6f954515f9e3c28cbd036dfcb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 13 Aug 2025 17:48:32 -0400 Subject: [PATCH 033/253] Format. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 814f7e93e..cda33fcea 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -781,7 +781,8 @@ private Set getTensorType( if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. // We have a list of integers that represent the shape. PointerKey pointerKeyForObjectCatalog = - ((AstPointerKeyFactory) builder.getPointerKeyFactory()).getPointerKeyForObjectCatalog(asin); + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin); OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); From ba982286c179fd1ee210575a0fbbd60504e2e3de Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 14 Aug 2025 14:49:07 -0400 Subject: [PATCH 034/253] Inline local variable. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 5979d84da..9ae2cb2dc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -793,11 +793,10 @@ private Set getTensorType( if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. // We have a list of integers that represent the shape. - PointerKey pointerKeyForObjectCatalog = - ((AstPointerKeyFactory) builder.getPointerKeyFactory()) - .getPointerKeyForObjectCatalog(asin); OrdinalSet objectCatalogPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForObjectCatalog); + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); // We expect the object catalog to contain a list of integers. Each element in the array // corresponds to the set of possible dimensions for that index. From 08b9857ff4094216dc9696bfc14c8b0f095bee3f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 14 Aug 2025 15:40:59 -0400 Subject: [PATCH 035/253] Only add if it's constant. --- .../ml/client/PythonTensorAnalysisEngine.java | 25 +++++++++++++------ 1 file changed, 17 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 9ae2cb2dc..606e8d0f7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -833,17 +833,26 @@ private Set getTensorType( Set> tensorDimensions = HashSetFactory.make(); for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { - ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; - Object instanceFieldValue = instanceFieldConstant.getValue(); + if (instanceFieldIK instanceof ConstantKey) { + // We have a constant key. + ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; + Object instanceFieldValue = instanceFieldConstant.getValue(); - // We have a shape value. - Long shapeValue = (Long) instanceFieldValue; - logger.fine("Found shape value: " + shapeValue + " for " + pointerKey + "."); + // We have a shape value. + Long shapeValue = (Long) instanceFieldValue; + logger.fine("Found shape value: " + shapeValue + " for " + pointerKey + "."); - Dimension dimension = new NumericDim(shapeValue.intValue()); + Dimension dimension = new NumericDim(shapeValue.intValue()); - logger.fine("Adding dimension: " + dimension + "."); - tensorDimensions.add(dimension); + logger.fine("Adding dimension: " + dimension + "."); + tensorDimensions.add(dimension); + } else + throw new IllegalStateException( + "Expected a constant key for instance field: " + + pointerKeyForInstanceField + + ", but got: " + + instanceFieldIK + + "."); } logger.info( From 14d611797a50a7df5c18ea391563bc3aa08e415c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 12:04:35 -0400 Subject: [PATCH 036/253] Hoist variable. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 606e8d0f7..c164c7aa9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -781,9 +781,10 @@ private Set getTensorType( TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); logger.info("Getting possible tensor types for call to: " + calledFunction.getName() + "."); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + if (calledFunction.equals(ONES.getDeclaringClass())) { // This is a call to `ones()`. The shape is in the first explicit argument. - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // TODO: Handle keyword arguments. PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); From d09c1eabcef50ca1d3bc8eadcb4910afcadd87cb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 12:05:04 -0400 Subject: [PATCH 037/253] Rename variable. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index c164c7aa9..2dcb9ce1a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -786,9 +786,9 @@ private Set getTensorType( if (calledFunction.equals(ONES.getDeclaringClass())) { // This is a call to `ones()`. The shape is in the first explicit argument. // TODO: Handle keyword arguments. - PointerKey shapePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePointerKey)) { + for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePK)) { AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); TypeReference reference = asin.getConcreteType().getReference(); From d29c75d60823281fcebd315ec2f6dca76dab0ea2 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 12:13:00 -0400 Subject: [PATCH 038/253] Don't use wildcard in expression. --- .../wala/cast/python/ml/client/PythonTensorAnalysisEngine.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 2dcb9ce1a..2d0211ff6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -834,7 +834,7 @@ private Set getTensorType( Set> tensorDimensions = HashSetFactory.make(); for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { - if (instanceFieldIK instanceof ConstantKey) { + if (instanceFieldIK instanceof ConstantKey) { // We have a constant key. ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; Object instanceFieldValue = instanceFieldConstant.getValue(); From 1db0c9cd66bd84ae03d3e160c23d6565e0054ee4 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 13:39:44 -0400 Subject: [PATCH 039/253] Start `tf.constant()` inference. --- .../python/ml/test/TestTensorflow2Model.java | 7 +- .../ml/client/PythonTensorAnalysisEngine.java | 74 +++++++++++++++++++ 2 files changed, 80 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index d3adc482c..6228de45e 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.test; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.cast.python.ml.types.TensorType.mnistInput; import static com.ibm.wala.cast.python.util.Util.addPytestEntrypoints; import static java.util.Arrays.asList; @@ -61,6 +62,8 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final String FLOAT_32 = FLOAT32.name().toLowerCase(); + private static final String INT_32 = INT32.name().toLowerCase(); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -3304,12 +3307,14 @@ public void testModule80() @Test public void testStaticMethod() throws ClassHierarchyException, CancelException, IOException { + TensorType expectedType = new TensorType(INT_32, emptyList()); + test( "tf2_test_static_method.py", "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(expectedType))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 2d0211ff6..1c64a3e01 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -3,6 +3,8 @@ import static com.google.common.collect.Sets.newHashSet; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; @@ -11,6 +13,7 @@ import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; +import static java.util.Collections.emptyList; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.ir.ssa.EachElementGetInstruction; @@ -129,6 +132,13 @@ public PythonTensorAnalysisEngine(List pythonPath) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/constant. */ + private static final MethodReference CONSTANT = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), + AstMethodReference.fnSelector); + private static final MethodReference IMPORT = MethodReference.findOrCreate( TENSORFLOW, @@ -987,6 +997,70 @@ private Set getTensorType( } } } + } else if (calledFunction.equals(CONSTANT.getDeclaringClass())) { + // This is a call to `constant()`. The shape is that of the first explicit argument. + // TODO: Handle keyword arguments. + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) + // It's a scalar value. A scalar has no dimensions, so its shape is represented by an + // empty tuple (). + possibleShapes.add(emptyList()); + else // TODO: More cases. + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + + // TODO: Shapes can also be specified as an explicit argument. + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + if (dTypePointsToSet.isEmpty()) { + // If the argument dtype is not specified, then the type is inferred from the type of value. + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) { // It's a scalar value. + ConstantKey constantKey = (ConstantKey) valueIK; + Object value = constantKey.getValue(); + + if (value instanceof Float || value instanceof Double) { + possibleDTypes.add(FLOAT32); + logger.info( + "Inferred dtype: " + + FLOAT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof Integer || value instanceof Long) { + possibleDTypes.add(INT32); + logger.info( + "Inferred dtype: " + + INT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof String) { + possibleDTypes.add(STRING); + logger.info( + "Inferred dtype: " + + STRING + + " for source: " + + source + + " from value: " + + value + + "."); + } else + throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else // TODO: More cases. + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + } } else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); From c8e5d40afca5c36c530f270ded67a77ca4b92a6c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 13:52:34 -0400 Subject: [PATCH 040/253] More defensive. --- .../python/ml/client/PythonTensorAnalysisEngine.java | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 1c64a3e01..1cc52c6fa 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -994,7 +994,13 @@ private Set getTensorType( + "."); } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); } - } + } else + throw new IllegalStateException( + "Expected a " + + TensorFlowTypes.D_TYPE + + " for the dtype, but got: " + + typeReference + + "."); } } } else if (calledFunction.equals(CONSTANT.getDeclaringClass())) { @@ -1060,7 +1066,8 @@ private Set getTensorType( } else // TODO: More cases. throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - } + } else // TODO: Handle explicit dtypes. + throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); } else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); From 2cfa1d30ce1db3c53942264b55c07a9aafe27814 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 14:15:18 -0400 Subject: [PATCH 041/253] Update tests. --- .../wala/cast/python/ml/test/TestTensorflow2Model.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 6228de45e..20bd9f2a6 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -64,6 +64,8 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final String INT_32 = INT32.name().toLowerCase(); + private static final TensorType SCALAR_TENSOR_OF_INT32 = new TensorType(INT_32, emptyList()); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -3307,14 +3309,12 @@ public void testModule80() @Test public void testStaticMethod() throws ClassHierarchyException, CancelException, IOException { - TensorType expectedType = new TensorType(INT_32, emptyList()); - test( "tf2_test_static_method.py", "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(expectedType))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3424,7 +3424,7 @@ public void testClassMethod() throws ClassHierarchyException, CancelException, I "MyClass.the_class_method", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test From 6d93066720a07dfbebbbfa4d18589f435c52c51b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 14:17:23 -0400 Subject: [PATCH 042/253] Inline local variables. --- .../python/ml/test/TestTensorflow2Model.java | 19 +++++-------------- 1 file changed, 5 insertions(+), 14 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 20bd9f2a6..951163853 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -878,25 +878,16 @@ public void testAdd6() @Test public void testAdd7() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - Dimension aX = new NumericDim(1); - Dimension aY = new NumericDim(2); - - List> aDimensions = asList(aX, aY); - - Dimension bX = new NumericDim(2); - Dimension bY = new NumericDim(2); - - List> bDimensions = asList(bX, bY); - - TensorType expectedTypeForA = new TensorType(FLOAT_32, aDimensions); - TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); - test( "tf2_test_add7.py", "add", 2, 2, - Map.of(2, Set.of(expectedTypeForA), 3, Set.of(expectedTypeForB))); + Map.of( + 2, + Set.of(new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2)))), + 3, + Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); } @Test From 54ccbb81e5c23dc8029bc444b74623536c40c3ed Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 18 Aug 2025 14:37:26 -0400 Subject: [PATCH 043/253] Test updates. --- .../python/ml/test/TestTensorflow2Model.java | 38 ++++++++++--------- 1 file changed, 21 insertions(+), 17 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 951163853..88d690c8b 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -58,14 +58,18 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final Logger LOGGER = Logger.getLogger(TestTensorflow2Model.class.getName()); - private static final TensorType MNIST_INPUT = mnistInput(); - private static final String FLOAT_32 = FLOAT32.name().toLowerCase(); private static final String INT_32 = INT32.name().toLowerCase(); + private static final TensorType MNIST_INPUT = mnistInput(); + private static final TensorType SCALAR_TENSOR_OF_INT32 = new TensorType(INT_32, emptyList()); + private static final TensorType TENSOR_1_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))); + + private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -885,21 +889,21 @@ public void testAdd7() 2, Map.of( 2, - Set.of(new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2)))), + Set.of(TENSOR_1_2_FLOAT32), 3, - Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); + Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd8() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add8.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test("tf2_test_add8.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd9() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add9.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test("tf2_test_add9.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1143,7 +1147,7 @@ public void testAdd47() @Test public void testAdd48() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add48.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test("tf2_test_add48.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1151,7 +1155,7 @@ public void testAdd49() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { // NOTE: Set the expected number of tensor variables to 3 once // https://github.com/wala/ML/issues/135 is fixed. - test("tf2_test_add49.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test("tf2_test_add49.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -3315,7 +3319,7 @@ public void testStaticMethod2() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3325,7 +3329,7 @@ public void testStaticMethod3() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3335,7 +3339,7 @@ public void testStaticMethod4() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3345,7 +3349,7 @@ public void testStaticMethod5() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3355,7 +3359,7 @@ public void testStaticMethod6() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3365,7 +3369,7 @@ public void testStaticMethod7() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3375,7 +3379,7 @@ public void testStaticMethod8() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3385,7 +3389,7 @@ public void testStaticMethod9() throws ClassHierarchyException, CancelException, "MyClass.the_static_method", 2, 2, - Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32), 3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3395,7 +3399,7 @@ public void testStaticMethod10() throws ClassHierarchyException, CancelException "MyClass.the_static_method", 2, 2, - Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32), 3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test From 4ad808b84f6d7bfaa14f36881afe5f4940fe191f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 09:59:09 -0400 Subject: [PATCH 044/253] Format. --- .../python/ml/test/TestTensorflow2Model.java | 40 ++++++++++++++----- 1 file changed, 29 insertions(+), 11 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 88d690c8b..c7325b087 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -66,9 +66,11 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType SCALAR_TENSOR_OF_INT32 = new TensorType(INT_32, emptyList()); - private static final TensorType TENSOR_1_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))); + private static final TensorType TENSOR_1_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))); - private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_2_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); @Test public void testValueIndex() @@ -887,23 +889,29 @@ public void testAdd7() "add", 2, 2, - Map.of( - 2, - Set.of(TENSOR_1_2_FLOAT32), - 3, - Set.of(TENSOR_2_2_FLOAT32))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd8() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add8.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); + test( + "tf2_test_add8.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd9() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add9.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); + test( + "tf2_test_add9.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1147,7 +1155,12 @@ public void testAdd47() @Test public void testAdd48() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add48.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); + test( + "tf2_test_add48.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1155,7 +1168,12 @@ public void testAdd49() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { // NOTE: Set the expected number of tensor variables to 3 once // https://github.com/wala/ML/issues/135 is fixed. - test("tf2_test_add49.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); + test( + "tf2_test_add49.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test From ad2b486b63fc07a13e5410208abc12612abd9cc7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 10:14:38 -0400 Subject: [PATCH 045/253] Format and elaborate comments. --- .../python/ml/client/PythonTensorAnalysisEngine.java | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 1cc52c6fa..e719a6c50 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -1013,8 +1013,9 @@ private Set getTensorType( // It's a scalar value. A scalar has no dimensions, so its shape is represented by an // empty tuple (). possibleShapes.add(emptyList()); - else // TODO: More cases. - throw new IllegalStateException( + else + // TODO: More cases. + throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); // TODO: Shapes can also be specified as an explicit argument. @@ -1066,8 +1067,10 @@ private Set getTensorType( } else // TODO: More cases. throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - } else // TODO: Handle explicit dtypes. - throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); + } else + // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. TODO: + // Handle explicit dtypes. + throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); } else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); From 1ee6df14c99d36dd18f9d949d504681bccbaf975 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 10:18:08 -0400 Subject: [PATCH 046/253] Throw an exception if there is an explicit shape argument. --- .../ml/client/PythonTensorAnalysisEngine.java | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index e719a6c50..15915749c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -1018,7 +1018,18 @@ private Set getTensorType( throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - // TODO: Shapes can also be specified as an explicit argument. + // Shapes can also be specified as an explicit argument. Here, we examine the third explicit + // argument (recall that the first argument is implicit and corresponds to the called + // function's name). + PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 4); + OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePK); + + for (InstanceKey shapeIK : shapePointsToSet) + // TODO: This is the above case. + throw new IllegalStateException( + "Found explicit shape argument: " + + shapeIK + + ". Currently cannot handle explicit shapes for constant()."); // The dtype is the second explicit argument. // FIXME: Handle keyword arguments. From d048019c4109521b9dc3c4403fdf823517d92c5b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 11:14:24 -0400 Subject: [PATCH 047/253] Get rid of failures. --- .../python/ml/test/TestTensorflow2Model.java | 300 ++++++++++-------- .../data/tf2_test_tensor_list.py | 6 + 2 files changed, 174 insertions(+), 132 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index c7325b087..646f2e5c1 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -66,6 +66,8 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType SCALAR_TENSOR_OF_INT32 = new TensorType(INT_32, emptyList()); + private static final TensorType SCALAR_TENSOR_OF_FLOAT32 = new TensorType(FLOAT_32, emptyList()); + private static final TensorType TENSOR_1_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))); @@ -596,7 +598,11 @@ public void testTensorList() "add", 2, 2, - Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + Map.of( + 2, + Set.of(TENSOR_1_2_FLOAT32, TENSOR_2_2_FLOAT32), + 3, + Set.of(TENSOR_1_2_FLOAT32, TENSOR_2_2_FLOAT32))); } @Test @@ -731,13 +737,13 @@ public void testModelAttributes6() @Test public void testCallbacks() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_callbacks.py", "replica_fn", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_callbacks.py", "replica_fn", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_FLOAT32))); } @Test public void testCallbacks2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_callbacks2.py", "replica_fn", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_callbacks2.py", "replica_fn", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_FLOAT32))); } @Test @@ -1715,7 +1721,7 @@ public void testTFRange() @Test public void testTFRange2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_tf_range2.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_tf_range2.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -1727,41 +1733,41 @@ public void testTFRange3() @Test public void testImport() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_import.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test public void testImport2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_import2.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test public void testImport3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_import3.py", "f", 1, 2, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_import3.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import3.py", "f", 1, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); + test("tf2_test_import3.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test public void testImport4() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_import4.py", "f", 1, 2, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_import4.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import4.py", "f", 1, 2, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); + test("tf2_test_import4.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test public void testImport5() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_import5.py", "f", 0, 1); - test("tf2_test_import5.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import5.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test public void testImport6() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_import6.py", "f", 0, 1); - test("tf2_test_import6.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import6.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -1789,8 +1795,8 @@ public void testImport8() @Test public void testImport9() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_import9.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_import9.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_import9.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); + test("tf2_test_import9.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test @@ -1803,7 +1809,7 @@ public void testModule() "", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** This test needs a PYTHONPATH that points to `proj`. */ @@ -1819,7 +1825,7 @@ public void testModule2() "proj", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** This test should not need a PYTHONPATH. */ @@ -1835,7 +1841,7 @@ public void testModule3() "proj2", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -1857,7 +1863,7 @@ public void testModule4() "proj3", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); test( new String[] { @@ -1871,7 +1877,7 @@ public void testModule4() "proj3", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } @Test @@ -1884,7 +1890,7 @@ public void testModule5() "", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** This test needs a PYTHONPATH that points to `proj4`. */ @@ -1900,7 +1906,7 @@ public void testModule6() "proj4", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** This test should not need a PYTHONPATH. */ @@ -1916,7 +1922,7 @@ public void testModule7() "proj5", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -1938,7 +1944,7 @@ public void testModule8() "proj6", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); test( new String[] { @@ -1952,7 +1958,7 @@ public void testModule8() "proj6", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } @Test @@ -1965,7 +1971,7 @@ public void testModule9() "", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } @Test @@ -1978,7 +1984,7 @@ public void testModule10() "", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** This test needs a PYTHONPATH that points to `proj7`. */ @@ -1997,7 +2003,7 @@ public void testModule11() "proj7", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** This test should not need a PYTHONPATH. */ @@ -2016,7 +2022,7 @@ public void testModule12() "proj8", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** This test should not need a PYTHONPATH. */ @@ -2035,7 +2041,7 @@ public void testModule13() "proj9", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2053,7 +2059,7 @@ public void testModule14() "proj10", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2071,7 +2077,7 @@ public void testModule15() "proj11", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** This test should not need a PYTHONPATH. */ @@ -2085,7 +2091,7 @@ public void testModule16() "proj12", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2106,7 +2112,7 @@ public void testModule17() "proj13", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2132,7 +2138,7 @@ public void testModule18() "proj14", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); test( new String[] { @@ -2147,7 +2153,7 @@ public void testModule18() "proj14", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2167,7 +2173,7 @@ public void testModule19() "proj15", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2185,7 +2191,7 @@ public void testModule20() "proj16", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2205,7 +2211,7 @@ public void testModule21() "proj17", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2223,7 +2229,7 @@ public void testModule22() "proj18", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2247,7 +2253,7 @@ public void testModule23() "proj19", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2265,7 +2271,7 @@ public void testModule24() "", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2283,7 +2289,7 @@ public void testModule25() "proj20", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2301,7 +2307,7 @@ public void testModule26() "", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2325,7 +2331,7 @@ public void testModule27() "proj21", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); test( new String[] { @@ -2340,7 +2346,7 @@ public void testModule27() "proj21", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2358,7 +2364,7 @@ public void testModule28() "proj22", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2376,7 +2382,7 @@ public void testModule29() "proj23", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2394,7 +2400,7 @@ public void testModule30() "proj24", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2414,7 +2420,7 @@ public void testModule31() "proj25", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2432,7 +2438,7 @@ public void testModule32() "proj26", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2452,7 +2458,7 @@ public void testModule33() "proj27", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2472,7 +2478,7 @@ public void testModule34() "proj28", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2490,7 +2496,7 @@ public void testModule35() "proj29", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2508,7 +2514,7 @@ public void testModule36() "proj30", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2526,7 +2532,7 @@ public void testModule37() "proj31", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2544,7 +2550,7 @@ public void testModule38() "proj32", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2562,7 +2568,7 @@ public void testModule39() "proj33", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2580,7 +2586,7 @@ public void testModule40() "proj34", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2605,7 +2611,7 @@ public void testModule41() "proj35", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2630,7 +2636,7 @@ public void testModule42() "proj36", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2655,7 +2661,7 @@ public void testModule43() "proj37", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2680,7 +2686,7 @@ public void testModule44() "proj38", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2698,7 +2704,7 @@ public void testModule45() "proj39", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2716,7 +2722,7 @@ public void testModule46() "proj40", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2734,7 +2740,7 @@ public void testModule47() "proj41", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2752,7 +2758,7 @@ public void testModule48() "proj42", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2777,7 +2783,7 @@ public void testModule49() "proj43", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2802,7 +2808,7 @@ public void testModule50() "proj44", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2827,7 +2833,7 @@ public void testModule51() "proj45", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2852,7 +2858,7 @@ public void testModule52() "proj46", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -2879,7 +2885,7 @@ public void testModule53() "proj47", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); test( new String[] { @@ -2897,7 +2903,7 @@ public void testModule53() "proj47", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2911,7 +2917,7 @@ public void testModule54() "proj51", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2925,7 +2931,7 @@ public void testModule55() "proj52", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2939,7 +2945,7 @@ public void testModule56() "proj53", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2953,7 +2959,7 @@ public void testModule57() "proj54", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2967,7 +2973,7 @@ public void testModule58() "proj55", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2981,7 +2987,7 @@ public void testModule59() "proj51", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -2995,7 +3001,7 @@ public void testModule60() "proj52", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3009,7 +3015,7 @@ public void testModule61() "proj56", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3023,7 +3029,7 @@ public void testModule62() "proj57", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3037,7 +3043,7 @@ public void testModule63() "proj58", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3051,7 +3057,7 @@ public void testModule64() "proj59", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3065,7 +3071,7 @@ public void testModule65() "proj60", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3079,7 +3085,7 @@ public void testModule66() "proj61", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/202. */ @@ -3093,7 +3099,7 @@ public void testModule67() "proj62", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/205. */ @@ -3107,7 +3113,7 @@ public void testModule68() "proj63", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/205. */ @@ -3121,7 +3127,7 @@ public void testModule69() "proj64", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/210. */ @@ -3135,7 +3141,7 @@ public void testModule70() "proj65", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/210. */ @@ -3149,7 +3155,7 @@ public void testModule71() "proj67", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/210. */ @@ -3163,7 +3169,7 @@ public void testModule72() "proj68", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/210. */ @@ -3177,7 +3183,7 @@ public void testModule73() "proj69", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/210. */ @@ -3191,7 +3197,7 @@ public void testModule74() "proj70", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/211. */ @@ -3205,7 +3211,7 @@ public void testModule75() "proj71", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/211. */ @@ -3219,7 +3225,7 @@ public void testModule76() "", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/211. */ @@ -3233,7 +3239,7 @@ public void testModule77() "proj72", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/211. */ @@ -3247,7 +3253,7 @@ public void testModule78() "", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); } /** Test https://github.com/wala/ML/issues/209. */ @@ -3267,7 +3273,7 @@ public void testModule79() "proj73", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); test( new String[] { @@ -3282,7 +3288,7 @@ public void testModule79() "proj73", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** Test https://github.com/wala/ML/issues/209. */ @@ -3302,7 +3308,7 @@ public void testModule80() "proj74", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); test( new String[] { @@ -3317,7 +3323,7 @@ public void testModule80() "proj74", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3422,12 +3428,12 @@ public void testStaticMethod10() throws ClassHierarchyException, CancelException @Test public void testStaticMethod11() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_static_method11.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_static_method11.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testStaticMethod12() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_static_method12.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_static_method12.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3447,44 +3453,44 @@ public void testClassMethod2() throws ClassHierarchyException, CancelException, "MyClass.the_class_method", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testClassMethod3() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_class_method3.py", "MyClass.f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_class_method3.py", "MyClass.f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testClassMethod4() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_class_method4.py", "MyClass.f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_class_method4.py", "MyClass.f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testClassMethod5() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_class_method5.py", "MyClass.f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_class_method5.py", "MyClass.f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testAbstractMethod() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_abstract_method.py", "D.f", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); - test("tf2_test_abstract_method.py", "C.f", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test("tf2_test_abstract_method.py", "D.f", 1, 1, Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); + test("tf2_test_abstract_method.py", "C.f", 1, 1, Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testAbstractMethod2() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_abstract_method2.py", "D.f", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); - test("tf2_test_abstract_method2.py", "C.f", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test("tf2_test_abstract_method2.py", "D.f", 1, 1, Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); + test("tf2_test_abstract_method2.py", "C.f", 1, 1, Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testAbstractMethod3() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_abstract_method3.py", "C.f", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test("tf2_test_abstract_method3.py", "C.f", 1, 1, Map.of(3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testDecoratedMethod() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** Test https://github.com/wala/ML/issues/188. */ @@ -3501,27 +3507,27 @@ public void testDecoratedMethod3() throws ClassHierarchyException, CancelExcepti @Test public void testDecoratedMethod4() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method4.py", "raffi", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method4.py", "raffi", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testDecoratedMethod5() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method5.py", "raffi", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method5.py", "raffi", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testDecoratedMethod6() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method6.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method6.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testDecoratedMethod7() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method7.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method7.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testDecoratedMethod8() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method8.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method8.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** @@ -3543,7 +3549,7 @@ public void testDecoratedMethod10() throws ClassHierarchyException, CancelExcept @Test public void testDecoratedMethod11() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_method11.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorated_method11.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -3561,12 +3567,42 @@ public void testDecoratedMethod13() throws ClassHierarchyException, CancelExcept @Test public void testDecoratedFunctions() throws ClassHierarchyException, CancelException, IOException { - test("tf2_test_decorated_functions.py", "dummy_fun", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_decorated_functions.py", "dummy_test", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_decorated_functions.py", "test_function", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_decorated_functions.py", "test_function2", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_decorated_functions.py", "test_function3", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); - test("tf2_test_decorated_functions.py", "test_function4", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test( + "tf2_test_decorated_functions.py", + "dummy_fun", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test( + "tf2_test_decorated_functions.py", + "dummy_test", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test( + "tf2_test_decorated_functions.py", + "test_function", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test( + "tf2_test_decorated_functions.py", + "test_function2", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test( + "tf2_test_decorated_functions.py", + "test_function3", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test( + "tf2_test_decorated_functions.py", + "test_function4", + 1, + 1, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** Test a pytest with decorators. */ @@ -3597,21 +3633,21 @@ public void testDecoratedFunctions3() "proj48", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test a pytest without decorators. This is a "control." */ @Test public void testDecoratedFunctions4() throws ClassHierarchyException, CancelException, IOException { - test("test_decorated_functions2.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("test_decorated_functions2.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** Test a pytest with a decorator. */ @Test public void testDecoratedFunctions5() throws ClassHierarchyException, CancelException, IOException { - test("test_decorated_functions3.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("test_decorated_functions3.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** @@ -3634,14 +3670,14 @@ public void testDecoratedFunctions6() "proj49", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** Test a Pytest with a decorator without parameters. */ @Test public void testDecoratedFunctions7() throws ClassHierarchyException, CancelException, IOException { - test("test_decorated_functions4.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("test_decorated_functions4.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** @@ -3664,7 +3700,7 @@ public void testDecoratedFunctions8() "proj50", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_1_2_FLOAT32))); } /** @@ -3673,7 +3709,7 @@ public void testDecoratedFunctions8() @Test public void testDecoratedFunctions9() throws ClassHierarchyException, CancelException, IOException { - test("decorated_function_test.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("decorated_function_test.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } /** Test https://github.com/wala/ML/issues/195. */ diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_tensor_list.py b/com.ibm.wala.cast.python.test/data/tf2_test_tensor_list.py index 86167f7db..723ece779 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_tensor_list.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_tensor_list.py @@ -7,5 +7,11 @@ def add(a, b): list = [tf.ones([1, 2]), tf.ones([2, 2])] +assert list[0].shape == (1, 2) +assert list[1].shape == (2, 2) + +assert list[0].dtype == tf.float32 +assert list[1].dtype == tf.float32 + for element in list: c = add(element, element) From c97cf36b83cc63bd6869f11afb3e932bbbdef761 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 12:58:27 -0400 Subject: [PATCH 048/253] Turn generator processing into a class hierarchy. --- .../wala/cast/python/ml/client/Constant.java | 131 +++++++ .../ibm/wala/cast/python/ml/client/Ones.java | 283 ++++++++++++++ .../ml/client/PythonTensorAnalysisEngine.java | 365 +----------------- .../python/ml/client/TensorGenerator.java | 44 +++ .../ml/client/TensorGeneratorFactory.java | 48 +++ 5 files changed, 510 insertions(+), 361 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java new file mode 100644 index 000000000..8dfbda6fb --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -0,0 +1,131 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; +import static java.util.Collections.emptyList; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.EnumSet; +import java.util.List; +import java.util.Set; + +/** + * Represents a call to the constant() function in TensorFlow. + * + * @see constant(). + * @author Raffi Khatchadourian + */ +public class Constant extends TensorGenerator { + + public Constant(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // This is a call to `constant()`. The shape is that of the first explicit argument. + // TODO: Handle keyword arguments. + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) + // It's a scalar value. A scalar has no dimensions, so its shape is represented by an + // empty tuple (). + ret.add(emptyList()); + else + // TODO: More cases. + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + + // Shapes can also be specified as an explicit argument. Here, we examine the third explicit + // argument (recall that the first argument is implicit and corresponds to the called + // function's name). + PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 4); + OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePK); + + for (InstanceKey shapeIK : shapePointsToSet) + // TODO: This is the same case as `ones()`. + throw new IllegalStateException( + "Found explicit shape argument: " + + shapeIK + + ". Currently cannot handle explicit shapes for constant()."); + + return ret; + } + + @Override + protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { + EnumSet ret = EnumSet.noneOf(DType.class); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + if (dTypePointsToSet.isEmpty()) { + // If the argument dtype is not specified, then the type is inferred from the type of value. + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) { // It's a scalar value. + ConstantKey constantKey = (ConstantKey) valueIK; + Object value = constantKey.getValue(); + + if (value instanceof Float || value instanceof Double) { + ret.add(FLOAT32); + LOGGER.info( + "Inferred dtype: " + + FLOAT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof Integer || value instanceof Long) { + ret.add(INT32); + LOGGER.info( + "Inferred dtype: " + + INT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof String) { + ret.add(STRING); + LOGGER.info( + "Inferred dtype: " + + STRING + + " for source: " + + source + + " from value: " + + value + + "."); + } else + throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else // TODO: More cases. + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + } else + // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. TODO: + // Handle explicit dtypes. + throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); + + return ret; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java new file mode 100644 index 000000000..159c25df4 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -0,0 +1,283 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.cast.python.types.PythonTypes.list; +import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; +import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; +import static java.util.Arrays.asList; + +import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.classLoader.IClass; +import com.ibm.wala.classLoader.IField; +import com.ibm.wala.classLoader.IMethod; +import com.ibm.wala.classLoader.NewSiteReference; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.ContextItem; +import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; +import com.ibm.wala.types.Descriptor; +import com.ibm.wala.types.FieldReference; +import com.ibm.wala.types.MethodReference; +import com.ibm.wala.types.TypeReference; +import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.EnumSet; +import java.util.List; +import java.util.Optional; +import java.util.Set; + +/** + * A generator for tensors created by the `ones()` function in TensorFlow. + * + * @see TensorFlow ones() API. + * @author Raffi Khatchadourian + */ +public class Ones extends TensorGenerator { + + private static final MethodReference IMPORT = + MethodReference.findOrCreate( + TENSORFLOW, + findOrCreateAsciiAtom("import"), + Descriptor.findOrCreate(null, TENSORFLOW.getName())); + + public Ones(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // This is a call to `ones()`. The shape is in the first explicit argument. + // TODO: Handle keyword arguments. + PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + + for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePK)) { + AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); + TypeReference reference = asin.getConcreteType().getReference(); + + if (reference.equals(list)) { // TODO: This can also be a tuple of tensors. + // We have a list of integers that represent the shape. + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + // We expect the object catalog to contain a list of integers. Each element in the array + // corresponds to the set of possible dimensions for that index. + @SuppressWarnings("unchecked") + Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + LOGGER.fine("Found field: " + f); + + // We can now get the pointer key for the instance field. + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + LOGGER.fine("Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + // Get the points-to set for the instance field. + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + // If the instance field points to a constant, we can use it as the shape. + // TODO: Is it possible to also do it for (simple) expressions? + Set> tensorDimensions = HashSetFactory.make(); + + for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { + if (instanceFieldIK instanceof ConstantKey) { + // We have a constant key. + ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; + Object instanceFieldValue = instanceFieldConstant.getValue(); + + // We have a shape value. + Long shapeValue = (Long) instanceFieldValue; + LOGGER.fine( + "Found shape value: " + shapeValue + " for " + source.getPointerKey() + "."); + + Dimension dimension = new NumericDim(shapeValue.intValue()); + + LOGGER.fine("Adding dimension: " + dimension + "."); + tensorDimensions.add(dimension); + } else + throw new IllegalStateException( + "Expected a constant key for instance field: " + + pointerKeyForInstanceField + + ", but got: " + + instanceFieldIK + + "."); + } + + LOGGER.info( + "Found possible shape dimensions: " + + tensorDimensions + + " for field: " + + pointerKeyForInstanceField + + " for source: " + + source + + "."); + + // Add the shape dimensions. + assert possibleDimensions[fieldIndex] == null + : "Duplicate field index: " + + fieldIndex + + " in object catalog: " + + objectCatalogPointsToSet + + "."; + + possibleDimensions[fieldIndex] = tensorDimensions; + LOGGER.fine( + "Added shape dimensions: " + + tensorDimensions + + " for field index: " + + fieldIndex + + "."); + } + + for (int i = 0; i < possibleDimensions.length; i++) + for (Dimension iDim : possibleDimensions[i]) { + @SuppressWarnings("unchecked") + Dimension[] dimensions = new Dimension[possibleDimensions.length]; + + dimensions[i] = iDim; + + for (int j = 0; j < possibleDimensions.length; j++) + if (i != j) + for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; + + ret.add(asList(dimensions)); + } + } else + throw new IllegalStateException( + "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); + } + + return ret; + } + + @Override + protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { + EnumSet ret = EnumSet.noneOf(DType.class); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + if (dTypePointsToSet.isEmpty()) { + // Use the default dtype of float32. + ret.add(FLOAT32); + LOGGER.info( + "No dtype specified for source: " + + source + + ". Using default dtype of: " + + FLOAT32 + + " ."); + } else { // there's an explicit argument. + for (InstanceKey dTypeIK : dTypePointsToSet) { + IClass concreteType = dTypeIK.getConcreteType(); + TypeReference typeReference = concreteType.getReference(); + + if (typeReference.equals(TensorFlowTypes.D_TYPE)) { + // we have a dtype. + // let's see if it's float32. + Set importNodes = builder.getCallGraph().getNodes(IMPORT); + + // find the import node from this file. + Optional importNode = + importNodes.stream() + .filter( + in -> { + ContextItem contextItem = in.getContext().get(CALL_STRING); + CallString cs = (CallString) contextItem; + + // We expect the first method in the call string to be the import. + assert cs.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + cs.getMethods().length + + " for node: " + + in; + + IMethod method = cs.getMethods()[0]; + + CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + + // We expect the first method in the call string to be the import. + assert nodeCS.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + nodeCS.getMethods().length + + " for node: " + + in; + + return method.equals(nodeCS.getMethods()[0]); + }) + .findFirst(); + + InstanceKey tensorFlowIK = + pointerAnalysis + .getHeapModel() + .getInstanceKeyForAllocation( + importNode.get(), NewSiteReference.make(0, TENSORFLOW)); + + FieldReference float32 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + + IField float32Field = builder.getClassHierarchy().resolveField(float32); + + PointerKey float32PK = + pointerAnalysis + .getHeapModel() + .getPointerKeyForInstanceField(tensorFlowIK, float32Field); + + for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) + if (float32IK.equals(dTypeIK)) { + ret.add(FLOAT32); + LOGGER.info( + "Found dtype: " + + FLOAT32 + + " for source: " + + source + + " from dType: " + + dTypeIK + + "."); + } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); + } else + throw new IllegalStateException( + "Expected a " + + TensorFlowTypes.D_TYPE + + " for the dtype, but got: " + + typeReference + + "."); + } + } + + return ret; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 15915749c..1bd29592a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -2,42 +2,23 @@ import static com.google.common.collect.Sets.newHashSet; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DATASET; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; -import static com.ibm.wala.cast.python.types.PythonTypes.list; -import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.types.AstMethodReference.fnReference; -import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; -import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; -import static java.util.Arrays.asList; -import static java.util.Collections.emptyList; -import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.ir.ssa.EachElementGetInstruction; import com.ibm.wala.cast.lsp.AnalysisError; import com.ibm.wala.cast.python.client.PythonAnalysisEngine; import com.ibm.wala.cast.python.ml.analysis.TensorTypeAnalysis; -import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; -import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType; -import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; import com.ibm.wala.cast.python.ssa.PythonPropertyRead; import com.ibm.wala.cast.python.types.PythonTypes; import com.ibm.wala.cast.types.AstMethodReference; import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.classLoader.IClass; -import com.ibm.wala.classLoader.IField; import com.ibm.wala.classLoader.IMethod; -import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.ipa.callgraph.AnalysisOptions; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.CallGraph; -import com.ibm.wala.ipa.callgraph.ContextItem; import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConcreteTypeKey; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; @@ -48,13 +29,10 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.ipa.callgraph.propagation.PropagationSystem; -import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; import com.ibm.wala.ipa.cha.IClassHierarchy; import com.ibm.wala.ssa.DefUse; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.ssa.SSAInstruction; -import com.ibm.wala.types.Descriptor; -import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.MethodReference; import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; @@ -67,11 +45,9 @@ import com.ibm.wala.util.intset.OrdinalSet; import java.io.File; import java.io.IOException; -import java.util.EnumSet; import java.util.Iterator; import java.util.List; import java.util.Map; -import java.util.Optional; import java.util.Set; import java.util.logging.Logger; @@ -125,26 +101,6 @@ public PythonTensorAnalysisEngine(List pythonPath) { TypeName.string2TypeName("Ltensorflow/functions/set_shape")), AstMethodReference.fnSelector); - /** https://www.tensorflow.org/api_docs/python/tf/ones. */ - private static final MethodReference ONES = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/constant. */ - private static final MethodReference CONSTANT = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), - AstMethodReference.fnSelector); - - private static final MethodReference IMPORT = - MethodReference.findOrCreate( - TENSORFLOW, - findOrCreateAsciiAtom("import"), - Descriptor.findOrCreate(null, TENSORFLOW.getName())); - private static final MethodReference ENUMERATE = MethodReference.findOrCreate( TypeReference.findOrCreate( @@ -713,7 +669,7 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) Map> init = HashMapFactory.make(); - for (PointsToSetVariable v : sources) init.put(v, getTensorType(v, builder)); + for (PointsToSetVariable v : sources) init.put(v, getTensorTypes(v, builder)); Map placeholders = null; try { @@ -775,325 +731,12 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) * @return A set of {@link TensorType}s that the given {@link PointsToSetVariable} can take on. * Empty set is returned if the possible tensor types cannot be determined. */ - private Set getTensorType( + private Set getTensorTypes( PointsToSetVariable source, PropagationCallGraphBuilder builder) { logger.info("Getting tensor types for source: " + source + "."); - Set>> possibleShapes = HashSetFactory.make(); - EnumSet possibleDTypes = EnumSet.noneOf(DType.class); - - // Get the pointer key for the source. - PointerKey pointerKey = source.getPointerKey(); - - LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; - CGNode node = localPointerKey.getNode(); - - TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); - logger.info("Getting possible tensor types for call to: " + calledFunction.getName() + "."); - - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - - if (calledFunction.equals(ONES.getDeclaringClass())) { - // This is a call to `ones()`. The shape is in the first explicit argument. - // TODO: Handle keyword arguments. - PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePK)) { - AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); - TypeReference reference = asin.getConcreteType().getReference(); - - if (reference.equals(list)) { // TODO: This can also be a tuple of Tensor. - // We have a list of integers that represent the shape. - OrdinalSet objectCatalogPointsToSet = - pointerAnalysis.getPointsToSet( - ((AstPointerKeyFactory) builder.getPointerKeyFactory()) - .getPointerKeyForObjectCatalog(asin)); - - // We expect the object catalog to contain a list of integers. Each element in the array - // corresponds to the set of possible dimensions for that index. - @SuppressWarnings("unchecked") - Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; - - for (InstanceKey catalogIK : objectCatalogPointsToSet) { - ConstantKey constantKey = (ConstantKey) catalogIK; - Object constantKeyValue = constantKey.getValue(); - - Integer fieldIndex = (Integer) constantKeyValue; - - FieldReference subscript = - FieldReference.findOrCreate( - PythonTypes.Root, - findOrCreateAsciiAtom(fieldIndex.toString()), - PythonTypes.Root); - - IField f = getClassHierarchy().resolveField(subscript); - logger.fine("Found field: " + f); - - // We can now get the pointer key for the instance field. - PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); - logger.fine( - "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); - - // Get the points-to set for the instance field. - OrdinalSet instanceFieldPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); - logger.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); - - // If the instance field points to a constant, we can use it as the shape. - // TODO: Is it possible to also do it for (simple) expressions? - Set> tensorDimensions = HashSetFactory.make(); - - for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { - if (instanceFieldIK instanceof ConstantKey) { - // We have a constant key. - ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; - Object instanceFieldValue = instanceFieldConstant.getValue(); - - // We have a shape value. - Long shapeValue = (Long) instanceFieldValue; - logger.fine("Found shape value: " + shapeValue + " for " + pointerKey + "."); - - Dimension dimension = new NumericDim(shapeValue.intValue()); - - logger.fine("Adding dimension: " + dimension + "."); - tensorDimensions.add(dimension); - } else - throw new IllegalStateException( - "Expected a constant key for instance field: " - + pointerKeyForInstanceField - + ", but got: " - + instanceFieldIK - + "."); - } - - logger.info( - "Found possible shape dimensions: " - + tensorDimensions - + " for field: " - + pointerKeyForInstanceField - + " for source: " - + source - + "."); - - // Add the shape dimensions. - assert possibleDimensions[fieldIndex] == null - : "Duplicate field index: " - + fieldIndex - + " in object catalog: " - + objectCatalogPointsToSet - + "."; - - possibleDimensions[fieldIndex] = tensorDimensions; - logger.fine( - "Added shape dimensions: " - + tensorDimensions - + " for field index: " - + fieldIndex - + "."); - } - - for (int i = 0; i < possibleDimensions.length; i++) - for (Dimension iDim : possibleDimensions[i]) { - @SuppressWarnings("unchecked") - Dimension[] dimensions = new Dimension[possibleDimensions.length]; - - dimensions[i] = iDim; - - for (int j = 0; j < possibleDimensions.length; j++) - if (i != j) - for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; - - possibleShapes.add(asList(dimensions)); - } - } else - throw new IllegalStateException( - "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); - } - - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); - - if (dTypePointsToSet.isEmpty()) { - // Use the default dtype of float32. - possibleDTypes.add(FLOAT32); - logger.info( - "No dtype specified for source: " - + source - + ". Using default dtype of: " - + FLOAT32 - + " ."); - } else { // there's an explicit argument. - for (InstanceKey dTypeIK : dTypePointsToSet) { - IClass concreteType = dTypeIK.getConcreteType(); - TypeReference typeReference = concreteType.getReference(); - - if (typeReference.equals(TensorFlowTypes.D_TYPE)) { - // we have a dtype. - // let's see if it's float32. - Set importNodes = builder.getCallGraph().getNodes(IMPORT); - - // find the import node from this file. - Optional importNode = - importNodes.stream() - .filter( - in -> { - ContextItem contextItem = in.getContext().get(CALL_STRING); - CallString cs = (CallString) contextItem; - - // We expect the first method in the call string to be the import. - assert cs.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + cs.getMethods().length - + " for node: " - + in; - - IMethod method = cs.getMethods()[0]; - - CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); - - // We expect the first method in the call string to be the import. - assert nodeCS.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + nodeCS.getMethods().length - + " for node: " - + in; - - return method.equals(nodeCS.getMethods()[0]); - }) - .findFirst(); - - InstanceKey tensorFlowIK = - pointerAnalysis - .getHeapModel() - .getInstanceKeyForAllocation( - importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - - FieldReference float32 = - FieldReference.findOrCreate( - PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); - - IField float32Field = getClassHierarchy().resolveField(float32); - - PointerKey float32PK = - pointerAnalysis - .getHeapModel() - .getPointerKeyForInstanceField(tensorFlowIK, float32Field); - - for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) { - if (float32IK.equals(dTypeIK)) { - possibleDTypes.add(FLOAT32); - logger.info( - "Found dtype: " - + FLOAT32 - + " for source: " - + source - + " from dType: " - + dTypeIK - + "."); - } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); - } - } else - throw new IllegalStateException( - "Expected a " - + TensorFlowTypes.D_TYPE - + " for the dtype, but got: " - + typeReference - + "."); - } - } - } else if (calledFunction.equals(CONSTANT.getDeclaringClass())) { - // This is a call to `constant()`. The shape is that of the first explicit argument. - // TODO: Handle keyword arguments. - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK instanceof ConstantKey) - // It's a scalar value. A scalar has no dimensions, so its shape is represented by an - // empty tuple (). - possibleShapes.add(emptyList()); - else - // TODO: More cases. - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - - // Shapes can also be specified as an explicit argument. Here, we examine the third explicit - // argument (recall that the first argument is implicit and corresponds to the called - // function's name). - PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 4); - OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePK); - - for (InstanceKey shapeIK : shapePointsToSet) - // TODO: This is the above case. - throw new IllegalStateException( - "Found explicit shape argument: " - + shapeIK - + ". Currently cannot handle explicit shapes for constant()."); - - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); - - if (dTypePointsToSet.isEmpty()) { - // If the argument dtype is not specified, then the type is inferred from the type of value. - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK instanceof ConstantKey) { // It's a scalar value. - ConstantKey constantKey = (ConstantKey) valueIK; - Object value = constantKey.getValue(); - - if (value instanceof Float || value instanceof Double) { - possibleDTypes.add(FLOAT32); - logger.info( - "Inferred dtype: " - + FLOAT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof Integer || value instanceof Long) { - possibleDTypes.add(INT32); - logger.info( - "Inferred dtype: " - + INT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof String) { - possibleDTypes.add(STRING); - logger.info( - "Inferred dtype: " - + STRING - + " for source: " - + source - + " from value: " - + value - + "."); - } else - throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); - } else // TODO: More cases. - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - } else - // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. TODO: - // Handle explicit dtypes. - throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); - } else - throw new IllegalArgumentException( - "Unknown call: " + calledFunction + " for source: " + source + "."); - - Set ret = HashSetFactory.make(); - - // Create a tensor type for each possible shape and dtype combination. - for (List> dimensionList : possibleShapes) - for (DType dtype : possibleDTypes) - ret.add(new TensorType(dtype.name().toLowerCase(), dimensionList)); - - return ret; + TensorGenerator generator = TensorGeneratorFactory.getGenerator(source); + return generator.getTensorTypes(builder); } private Map handleShapeSourceOp( diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java new file mode 100644 index 000000000..ff885b58b --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -0,0 +1,44 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.cast.python.ml.types.TensorType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import java.util.EnumSet; +import java.util.List; +import java.util.Set; +import java.util.logging.Logger; + +public abstract class TensorGenerator { + + protected static final Logger LOGGER = Logger.getLogger(TensorGenerator.class.getName()); + + protected PointsToSetVariable source; + + protected CGNode node; + + public TensorGenerator(PointsToSetVariable source, CGNode node) { + this.source = source; + this.node = node; + } + + public Set getTensorTypes(PropagationCallGraphBuilder builder) { + Set>> shapes = getShapes(builder); + EnumSet dTypes = getDTypes(builder); + + Set ret = HashSetFactory.make(); + + // Create a tensor type for each possible shape and dtype combination. + for (List> dimensionList : shapes) + for (DType dtype : dTypes) ret.add(new TensorType(dtype.name().toLowerCase(), dimensionList)); + + return ret; + } + + protected abstract Set>> getShapes(PropagationCallGraphBuilder builder); + + protected abstract EnumSet getDTypes(PropagationCallGraphBuilder builder); +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java new file mode 100644 index 000000000..513e9e52c --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -0,0 +1,48 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.cast.types.AstMethodReference; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.types.MethodReference; +import com.ibm.wala.types.TypeName; +import com.ibm.wala.types.TypeReference; +import java.util.logging.Logger; + +public class TensorGeneratorFactory { + + private static final Logger LOGGER = Logger.getLogger(TensorGeneratorFactory.class.getName()); + + /** https://www.tensorflow.org/api_docs/python/tf/ones. */ + private static final MethodReference ONES = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/constant. */ + private static final MethodReference CONSTANT = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), + AstMethodReference.fnSelector); + + public static TensorGenerator getGenerator(PointsToSetVariable source) { + // Get the pointer key for the source. + PointerKey pointerKey = source.getPointerKey(); + + LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; + CGNode node = localPointerKey.getNode(); + + TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); + LOGGER.info("Getting tensor generator for call to: " + calledFunction.getName() + "."); + + if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source, node); + else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); + else + throw new IllegalArgumentException( + "Unknown call: " + calledFunction + " for source: " + source + "."); + } +} From 5cc6fb8df11692e90a5e5e6ae7f3837b22bf4503 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 13:04:23 -0400 Subject: [PATCH 049/253] Split comment. --- .../source/com/ibm/wala/cast/python/ml/client/Constant.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 8dfbda6fb..a766637b8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -77,8 +77,9 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + // If the argument dtype is not specified, if (dTypePointsToSet.isEmpty()) { - // If the argument dtype is not specified, then the type is inferred from the type of value. + // then the type is inferred from the type of value. PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) From cff454cf03fb2690fd1c55236dfe410347cdaa2b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 19 Aug 2025 13:54:48 -0400 Subject: [PATCH 050/253] Factor out some common code. --- .../wala/cast/python/ml/client/Constant.java | 96 ++++++------- .../ibm/wala/cast/python/ml/client/Ones.java | 120 +--------------- .../python/ml/client/TensorGenerator.java | 131 +++++++++++++++++- 3 files changed, 178 insertions(+), 169 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index a766637b8..3bcfc0c08 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -68,64 +68,54 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } @Override - protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); - - // If the argument dtype is not specified, - if (dTypePointsToSet.isEmpty()) { - // then the type is inferred from the type of value. - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK instanceof ConstantKey) { // It's a scalar value. - ConstantKey constantKey = (ConstantKey) valueIK; - Object value = constantKey.getValue(); + // If the argument dtype is not specified, then the type is inferred from the type of value. + // TODO: Handle keyword arguments. + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - if (value instanceof Float || value instanceof Double) { - ret.add(FLOAT32); - LOGGER.info( - "Inferred dtype: " - + FLOAT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof Integer || value instanceof Long) { - ret.add(INT32); - LOGGER.info( - "Inferred dtype: " - + INT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof String) { - ret.add(STRING); - LOGGER.info( - "Inferred dtype: " - + STRING - + " for source: " - + source - + " from value: " - + value - + "."); - } else - throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); - } else // TODO: More cases. + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) { // It's a scalar value. + ConstantKey constantKey = (ConstantKey) valueIK; + Object value = constantKey.getValue(); + + if (value instanceof Float || value instanceof Double) { + ret.add(FLOAT32); + LOGGER.info( + "Inferred dtype: " + + FLOAT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof Integer || value instanceof Long) { + ret.add(INT32); + LOGGER.info( + "Inferred dtype: " + + INT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof String) { + ret.add(STRING); + LOGGER.info( + "Inferred dtype: " + + STRING + + " for source: " + + source + + " from value: " + + value + + "."); + } else throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else + // TODO: More cases. throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - } else - // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. TODO: - // Handle explicit dtypes. - throw new IllegalStateException("Explicit dtype set: " + dTypePointsToSet + "."); + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); return ret; } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 159c25df4..3251c9dfb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -1,26 +1,18 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; -import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; -import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.cast.python.types.PythonTypes; -import com.ibm.wala.classLoader.IClass; import com.ibm.wala.classLoader.IField; -import com.ibm.wala.classLoader.IMethod; -import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.ContextItem; import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -28,16 +20,12 @@ import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; -import com.ibm.wala.types.Descriptor; import com.ibm.wala.types.FieldReference; -import com.ibm.wala.types.MethodReference; import com.ibm.wala.types.TypeReference; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; import java.util.List; -import java.util.Optional; import java.util.Set; /** @@ -48,12 +36,6 @@ */ public class Ones extends TensorGenerator { - private static final MethodReference IMPORT = - MethodReference.findOrCreate( - TENSORFLOW, - findOrCreateAsciiAtom("import"), - Descriptor.findOrCreate(null, TENSORFLOW.getName())); - public Ones(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -181,103 +163,11 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } @Override - protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { - EnumSet ret = EnumSet.noneOf(DType.class); - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); - - if (dTypePointsToSet.isEmpty()) { - // Use the default dtype of float32. - ret.add(FLOAT32); - LOGGER.info( - "No dtype specified for source: " - + source - + ". Using default dtype of: " - + FLOAT32 - + " ."); - } else { // there's an explicit argument. - for (InstanceKey dTypeIK : dTypePointsToSet) { - IClass concreteType = dTypeIK.getConcreteType(); - TypeReference typeReference = concreteType.getReference(); - - if (typeReference.equals(TensorFlowTypes.D_TYPE)) { - // we have a dtype. - // let's see if it's float32. - Set importNodes = builder.getCallGraph().getNodes(IMPORT); - - // find the import node from this file. - Optional importNode = - importNodes.stream() - .filter( - in -> { - ContextItem contextItem = in.getContext().get(CALL_STRING); - CallString cs = (CallString) contextItem; - - // We expect the first method in the call string to be the import. - assert cs.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + cs.getMethods().length - + " for node: " - + in; - - IMethod method = cs.getMethods()[0]; - - CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); - - // We expect the first method in the call string to be the import. - assert nodeCS.getMethods().length == 1 - : "Expected a single method in the call string, but got: " - + nodeCS.getMethods().length - + " for node: " - + in; - - return method.equals(nodeCS.getMethods()[0]); - }) - .findFirst(); + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + LOGGER.info( + "No dtype specified for source: " + source + ". Using default dtype of: " + FLOAT32 + " ."); - InstanceKey tensorFlowIK = - pointerAnalysis - .getHeapModel() - .getInstanceKeyForAllocation( - importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - - FieldReference float32 = - FieldReference.findOrCreate( - PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); - - IField float32Field = builder.getClassHierarchy().resolveField(float32); - - PointerKey float32PK = - pointerAnalysis - .getHeapModel() - .getPointerKeyForInstanceField(tensorFlowIK, float32Field); - - for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) - if (float32IK.equals(dTypeIK)) { - ret.add(FLOAT32); - LOGGER.info( - "Found dtype: " - + FLOAT32 - + " for source: " - + source - + " from dType: " - + dTypeIK - + "."); - } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); - } else - throw new IllegalStateException( - "Expected a " - + TensorFlowTypes.D_TYPE - + " for the dtype, but got: " - + typeReference - + "."); - } - } - - return ret; + // Use the default dtype of float32. + return EnumSet.of(FLOAT32); } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ff885b58b..1fab284c8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -1,14 +1,37 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.classLoader.IClass; +import com.ibm.wala.classLoader.IField; +import com.ibm.wala.classLoader.IMethod; +import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.ContextItem; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; +import com.ibm.wala.types.Descriptor; +import com.ibm.wala.types.FieldReference; +import com.ibm.wala.types.MethodReference; +import com.ibm.wala.types.TypeReference; import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; import java.util.List; +import java.util.Optional; import java.util.Set; import java.util.logging.Logger; @@ -16,6 +39,12 @@ public abstract class TensorGenerator { protected static final Logger LOGGER = Logger.getLogger(TensorGenerator.class.getName()); + private static final MethodReference IMPORT = + MethodReference.findOrCreate( + TENSORFLOW, + findOrCreateAsciiAtom("import"), + Descriptor.findOrCreate(null, TENSORFLOW.getName())); + protected PointsToSetVariable source; protected CGNode node; @@ -40,5 +69,105 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { protected abstract Set>> getShapes(PropagationCallGraphBuilder builder); - protected abstract EnumSet getDTypes(PropagationCallGraphBuilder builder); + protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); + + protected EnumSet getDTypesFromPointsToSet( + PropagationCallGraphBuilder builder, Iterable dTypePointsToSet) { + EnumSet ret = EnumSet.noneOf(DType.class); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + for (InstanceKey dTypeIK : dTypePointsToSet) { + IClass concreteType = dTypeIK.getConcreteType(); + TypeReference typeReference = concreteType.getReference(); + + if (typeReference.equals(TensorFlowTypes.D_TYPE)) { + // we have a dtype. + // let's see if it's float32. + Set importNodes = builder.getCallGraph().getNodes(IMPORT); + + // find the import node from this file. + Optional importNode = + importNodes.stream() + .filter( + in -> { + ContextItem contextItem = in.getContext().get(CALL_STRING); + CallString cs = (CallString) contextItem; + + // We expect the first method in the call string to be the import. + assert cs.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + cs.getMethods().length + + " for node: " + + in; + + IMethod method = cs.getMethods()[0]; + + CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + + // We expect the first method in the call string to be the import. + assert nodeCS.getMethods().length == 1 + : "Expected a single method in the call string, but got: " + + nodeCS.getMethods().length + + " for node: " + + in; + + return method.equals(nodeCS.getMethods()[0]); + }) + .findFirst(); + + InstanceKey tensorFlowIK = + pointerAnalysis + .getHeapModel() + .getInstanceKeyForAllocation( + importNode.get(), NewSiteReference.make(0, TENSORFLOW)); + + FieldReference float32 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + + IField float32Field = builder.getClassHierarchy().resolveField(float32); + + PointerKey float32PK = + pointerAnalysis + .getHeapModel() + .getPointerKeyForInstanceField(tensorFlowIK, float32Field); + + for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) + if (float32IK.equals(dTypeIK)) { + ret.add(FLOAT32); + LOGGER.info( + "Found dtype: " + + FLOAT32 + + " for source: " + + source + + " from dType: " + + dTypeIK + + "."); + } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); + } else + throw new IllegalStateException( + "Expected a " + + TensorFlowTypes.D_TYPE + + " for the dtype, but got: " + + typeReference + + "."); + } + + return ret; + } + + protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // The dtype is the second explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + + // If the argument dtype is not specified. + if (dTypePointsToSet.isEmpty()) return getDefaultDTypes(builder); + else + // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. + return getDTypesFromPointsToSet(builder, dTypePointsToSet); + } } From 17e64d2c3ab34e574503fff7ed52cee04db93ab7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 10:43:37 -0400 Subject: [PATCH 051/253] Simplify test code. --- .../python/ml/test/TestTensorflow2Model.java | 46 +++++-------------- 1 file changed, 12 insertions(+), 34 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 49144c3a3..0d7467b6a 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1581,55 +1581,33 @@ public void testAdd115() @Test public void testAdd116() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - Dimension aX = new NumericDim(1); - Dimension aY = new NumericDim(2); - - List> aDimensions = asList(aX, aY); - - Dimension bX = new NumericDim(2); - Dimension bY = new NumericDim(2); - - List> bDimensions = asList(bX, bY); - - TensorType expectedTypeForA = new TensorType(FLOAT_32, aDimensions); - TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); - test( "tf2_test_add116.py", "add", 2, 2, - Map.of(2, Set.of(expectedTypeForA), 3, Set.of(expectedTypeForB))); + Map.of( + 2, + Set.of(new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2)))), + 3, + Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); } @Test public void testAdd117() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - Dimension aX1 = new NumericDim(1); - Dimension aY1 = new NumericDim(2); - - List> aDimensions1 = asList(aX1, aY1); - - Dimension aX2 = new NumericDim(3); - Dimension aY2 = new NumericDim(2); - - List> aDimensions2 = asList(aX2, aY2); - - Dimension bX = new NumericDim(2); - Dimension bY = new NumericDim(2); - - List> bDimensions = asList(bX, bY); - - TensorType expectedTypeForA1 = new TensorType(FLOAT_32, aDimensions1); - TensorType expectedTypeForA2 = new TensorType(FLOAT_32, aDimensions2); - TensorType expectedTypeForB = new TensorType(FLOAT_32, bDimensions); - test( "tf2_test_add117.py", "add", 2, 2, - Map.of(2, Set.of(expectedTypeForA1, expectedTypeForA2), 3, Set.of(expectedTypeForB))); + Map.of( + 2, + Set.of( + new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))), + new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2)))), + 3, + Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); } @Test From f1c83d0191cd3ab03497a7e40043bb4385f5bda0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 10:43:45 -0400 Subject: [PATCH 052/253] Add assertions. --- com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py index 3df833404..60531f3e7 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py @@ -7,4 +7,8 @@ def returned(a): a = tf.range(5) + +assert a.shape == (5,) +assert a.dtype == tf.int32 + b = returned(a) From 2623d4833c79a78b561b3f02b934a793d5f38740 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 10:59:59 -0400 Subject: [PATCH 053/253] Simplify test code. --- .../wala/cast/python/ml/test/TestTensorflow2Model.java | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 0d7467b6a..e4543a132 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1586,11 +1586,7 @@ public void testAdd116() "add", 2, 2, - Map.of( - 2, - Set.of(new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2)))), - 3, - Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1604,10 +1600,10 @@ public void testAdd117() Map.of( 2, Set.of( - new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))), + TENSOR_1_2_FLOAT32, new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2)))), 3, - Set.of(new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2)))))); + Set.of(TENSOR_2_2_FLOAT32))); } @Test From c11f9ce8c330257317425a6521a20afae961cd17 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 13:28:52 -0400 Subject: [PATCH 054/253] Progress. --- .../python/ml/test/TestTensorflow2Model.java | 7 +- .../wala/cast/python/ml/client/Constant.java | 1 + .../ibm/wala/cast/python/ml/client/Range.java | 117 ++++++++++++++++++ .../python/ml/client/TensorGenerator.java | 6 + .../ml/client/TensorGeneratorFactory.java | 8 ++ 5 files changed, 138 insertions(+), 1 deletion(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index e4543a132..62ffd3c19 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -151,7 +151,12 @@ public void testDecorator() @Test public void testDecorator2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator2.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test( + "tf2_test_decorator2.py", + "returned", + 1, + 1, + Map.of(2, Set.of(new TensorType(INT_32, asList(new NumericDim(5)))))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 3bcfc0c08..83b6c225c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -54,6 +54,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Shapes can also be specified as an explicit argument. Here, we examine the third explicit // argument (recall that the first argument is implicit and corresponds to the called // function's name). + // TODO: Handle keyword arguments. PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 4); OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePK); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java new file mode 100644 index 000000000..b4830c180 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -0,0 +1,117 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.debug.UnimplementedError; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.EnumSet; +import java.util.List; +import java.util.Set; +import java.util.stream.StreamSupport; + +/** + * A representation of the TensorFlow range operation. + * + *

This class is used to generate a tensor that contains a sequence of numbers, similar to the + * range function in Python. + * + * @see TensorFlow range + * documentation. + * @author Raffi Khatchadourian + */ +public class Range extends TensorGenerator { + + public Range(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + // The shape of a range tensor is always a 1D tensor with the length equal to the number of + // elements in the range. + // For example, `tf.range(5)` produces a tensor with shape (5,). + + long start = 0; // Default start value. + long limit = start; // Default limit value. + long delta = 1; // Default step value. + + // There are two versions of the `range` function: + // 1. `tf.range(limit)` - generates a range from 0 to limit + // 2. `tf.range(start, limit, delta)` - generates a range from start to limit with a step of + // delta. + + // First, decide which version of the `range` function is being called based on the number of + // numeric arguments.j + // TODO: Handle keyword arguments. + + int numOfNumericPositionalArgs = getNumberOfNumericPositionalArgs(pointerAnalysis); + + if (numOfNumericPositionalArgs == 1) { + // it must *just* be `limit`. + PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + + for (InstanceKey limitIK : limitPointsToSet) + if (limitIK instanceof ConstantKey) { + limit = (long) ((ConstantKey) limitIK).getValue(); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } else + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for limit, but got: " + limitIK + "."); + } else + // TODO: Handle more cases. + throw new UnimplementedError( + "Currently cannot handle more than one numeric positional argument for range()."); + + return ret; + } + + private int getNumberOfNumericPositionalArgs(PointerAnalysis pointerAnalysis) { + int ret = 0; + int explicitArgumentIndex = 2; // Start from the first explicit argument. + + while (true) { + PointerKey pk = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, explicitArgumentIndex); + OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pk); + + if (pointsToSet.isEmpty()) break; // End of positional arguments. + + // Check if the pointsToSet contains numeric values. + boolean allNumeric = + StreamSupport.stream(pointsToSet.spliterator(), false) + .filter(ik -> ik instanceof ConstantKey) + .map(ik -> (ConstantKey) ik) + .map(ConstantKey::getValue) + .allMatch(v -> v instanceof Number); // Check if all values are numeric. + + if (!allNumeric) break; // There's some argument that is not numeric for this argument. + + ret++; // Increment the count of numeric positional arguments. + explicitArgumentIndex++; // Move to the next explicit argument. + } + + return ret; + } + + @Override + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + // TODO Auto-generated method stub + return null; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 1fab284c8..fd2edf6f1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -67,6 +67,12 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { return ret; } + /** + * Returns the possible shapes of the tensor returned by this generator. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @return a set of shapes, where each shape is represented as a list of dimensions + */ protected abstract Set>> getShapes(PropagationCallGraphBuilder builder); protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 513e9e52c..10870338c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -29,6 +29,13 @@ public class TensorGeneratorFactory { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/range. */ + private static final MethodReference RANGE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/range")), + AstMethodReference.fnSelector); + public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -41,6 +48,7 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source, node); else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); + else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); From fcf030b06c440f4affb1b3a2e81d59b2b063e7b6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 14:14:19 -0400 Subject: [PATCH 055/253] Use doubles. --- .../source/com/ibm/wala/cast/python/ml/client/Range.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index b4830c180..97533278e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -43,9 +43,9 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // elements in the range. // For example, `tf.range(5)` produces a tensor with shape (5,). - long start = 0; // Default start value. - long limit = start; // Default limit value. - long delta = 1; // Default step value. + double start = 0; // Default start value. + double limit = start; // Default limit value. + double delta = 1; // Default step value. // There are two versions of the `range` function: // 1. `tf.range(limit)` - generates a range from 0 to limit @@ -67,7 +67,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) for (InstanceKey limitIK : limitPointsToSet) if (limitIK instanceof ConstantKey) { - limit = (long) ((ConstantKey) limitIK).getValue(); + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); int shape = (int) Math.ceil((limit - start) / delta); ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. } else From 5ceefb8115c29db0de9da3b836dea3403dd81db1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 14:46:14 -0400 Subject: [PATCH 056/253] Rename. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index fd2edf6f1..3e0d3d005 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -77,7 +77,7 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); - protected EnumSet getDTypesFromPointsToSet( + protected EnumSet getDTypes( PropagationCallGraphBuilder builder, Iterable dTypePointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -174,6 +174,6 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { if (dTypePointsToSet.isEmpty()) return getDefaultDTypes(builder); else // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. - return getDTypesFromPointsToSet(builder, dTypePointsToSet); + return getDTypes(builder, dTypePointsToSet); } } From 7eeed8d6fae7327ea8db7d652be32a3dc1941009 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 15:12:13 -0400 Subject: [PATCH 057/253] Factor out common code for shapes. --- .../wala/cast/python/ml/client/Constant.java | 29 ++-- .../ibm/wala/cast/python/ml/client/Ones.java | 152 ++--------------- .../python/ml/client/TensorGenerator.java | 160 +++++++++++++++++- 3 files changed, 177 insertions(+), 164 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 83b6c225c..8fe3f6777 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -15,7 +15,6 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.util.collections.HashSetFactory; -import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; import java.util.List; import java.util.Set; @@ -28,16 +27,18 @@ */ public class Constant extends TensorGenerator { + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 4; + public Constant(PointsToSetVariable source, CGNode node) { super(source, node); } @Override - protected Set>> getShapes(PropagationCallGraphBuilder builder) { + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - // This is a call to `constant()`. The shape is that of the first explicit argument. + // The shape is that of the first explicit argument. // TODO: Handle keyword arguments. PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); @@ -51,20 +52,6 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - // Shapes can also be specified as an explicit argument. Here, we examine the third explicit - // argument (recall that the first argument is implicit and corresponds to the called - // function's name). - // TODO: Handle keyword arguments. - PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 4); - OrdinalSet shapePointsToSet = pointerAnalysis.getPointsToSet(shapePK); - - for (InstanceKey shapeIK : shapePointsToSet) - // TODO: This is the same case as `ones()`. - throw new IllegalStateException( - "Found explicit shape argument: " - + shapeIK - + ". Currently cannot handle explicit shapes for constant()."); - return ret; } @@ -120,4 +107,12 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { return ret; } + + @Override + protected int getValueNumberForShapeArgument() { + // Shapes can also be specified as an explicit argument. Here, we examine the third explicit + // argument (recall that the first argument is implicit and corresponds to the called + // function's name). + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 3251c9dfb..d53a4b5b5 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -1,29 +1,12 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; -import static com.ibm.wala.cast.python.types.PythonTypes.list; -import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; -import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; -import static java.util.Arrays.asList; -import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.cast.python.types.PythonTypes; -import com.ibm.wala.classLoader.IField; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; -import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; -import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; -import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; -import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.types.FieldReference; -import com.ibm.wala.types.TypeReference; -import com.ibm.wala.util.collections.HashSetFactory; -import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; import java.util.List; import java.util.Set; @@ -36,132 +19,12 @@ */ public class Ones extends TensorGenerator { + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; + public Ones(PointsToSetVariable source, CGNode node) { super(source, node); } - @Override - protected Set>> getShapes(PropagationCallGraphBuilder builder) { - Set>> ret = HashSetFactory.make(); - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - - // This is a call to `ones()`. The shape is in the first explicit argument. - // TODO: Handle keyword arguments. - PointerKey shapePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey shapeIK : pointerAnalysis.getPointsToSet(shapePK)) { - AllocationSiteInNode asin = getAllocationSiteInNode(shapeIK); - TypeReference reference = asin.getConcreteType().getReference(); - - if (reference.equals(list)) { // TODO: This can also be a tuple of tensors. - // We have a list of integers that represent the shape. - OrdinalSet objectCatalogPointsToSet = - pointerAnalysis.getPointsToSet( - ((AstPointerKeyFactory) builder.getPointerKeyFactory()) - .getPointerKeyForObjectCatalog(asin)); - - // We expect the object catalog to contain a list of integers. Each element in the array - // corresponds to the set of possible dimensions for that index. - @SuppressWarnings("unchecked") - Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; - - for (InstanceKey catalogIK : objectCatalogPointsToSet) { - ConstantKey constantKey = (ConstantKey) catalogIK; - Object constantKeyValue = constantKey.getValue(); - - Integer fieldIndex = (Integer) constantKeyValue; - - FieldReference subscript = - FieldReference.findOrCreate( - PythonTypes.Root, findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); - - IField f = builder.getClassHierarchy().resolveField(subscript); - LOGGER.fine("Found field: " + f); - - // We can now get the pointer key for the instance field. - PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); - LOGGER.fine("Found pointer key for instance field: " + pointerKeyForInstanceField + "."); - - // Get the points-to set for the instance field. - OrdinalSet instanceFieldPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); - LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); - - // If the instance field points to a constant, we can use it as the shape. - // TODO: Is it possible to also do it for (simple) expressions? - Set> tensorDimensions = HashSetFactory.make(); - - for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { - if (instanceFieldIK instanceof ConstantKey) { - // We have a constant key. - ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; - Object instanceFieldValue = instanceFieldConstant.getValue(); - - // We have a shape value. - Long shapeValue = (Long) instanceFieldValue; - LOGGER.fine( - "Found shape value: " + shapeValue + " for " + source.getPointerKey() + "."); - - Dimension dimension = new NumericDim(shapeValue.intValue()); - - LOGGER.fine("Adding dimension: " + dimension + "."); - tensorDimensions.add(dimension); - } else - throw new IllegalStateException( - "Expected a constant key for instance field: " - + pointerKeyForInstanceField - + ", but got: " - + instanceFieldIK - + "."); - } - - LOGGER.info( - "Found possible shape dimensions: " - + tensorDimensions - + " for field: " - + pointerKeyForInstanceField - + " for source: " - + source - + "."); - - // Add the shape dimensions. - assert possibleDimensions[fieldIndex] == null - : "Duplicate field index: " - + fieldIndex - + " in object catalog: " - + objectCatalogPointsToSet - + "."; - - possibleDimensions[fieldIndex] = tensorDimensions; - LOGGER.fine( - "Added shape dimensions: " - + tensorDimensions - + " for field index: " - + fieldIndex - + "."); - } - - for (int i = 0; i < possibleDimensions.length; i++) - for (Dimension iDim : possibleDimensions[i]) { - @SuppressWarnings("unchecked") - Dimension[] dimensions = new Dimension[possibleDimensions.length]; - - dimensions[i] = iDim; - - for (int j = 0; j < possibleDimensions.length; j++) - if (i != j) - for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; - - ret.add(asList(dimensions)); - } - } else - throw new IllegalStateException( - "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); - } - - return ret; - } - @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { LOGGER.info( @@ -170,4 +33,15 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // Use the default dtype of float32. return EnumSet.of(FLOAT32); } + + @Override + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + throw new UnsupportedOperationException( + "Shapes for ones() are mandatory and must be provided explicitly."); + } + + @Override + protected int getValueNumberForShapeArgument() { + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; // The shape is in the first explicit argument. + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 3e0d3d005..f057bbc80 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -3,13 +3,18 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.cast.python.types.PythonTypes.list; +import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; +import static java.util.Arrays.asList; +import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.cast.python.types.PythonTypes; import com.ibm.wala.classLoader.IClass; import com.ibm.wala.classLoader.IField; @@ -17,6 +22,8 @@ import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.ContextItem; +import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -67,23 +74,158 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { return ret; } + protected Set>> getShapes( + PropagationCallGraphBuilder builder, Iterable pointsToSet) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + for (InstanceKey instanceKey : pointsToSet) { + AllocationSiteInNode asin = getAllocationSiteInNode(instanceKey); + TypeReference reference = asin.getConcreteType().getReference(); + + if (reference.equals(list)) { // TODO: This can also be a tuple of tensors. + // We have a list of integers that represent the shape. + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + // We expect the object catalog to contain a list of integers. Each element in the array + // corresponds to the set of possible dimensions for that index. + @SuppressWarnings("unchecked") + Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + LOGGER.fine("Found field: " + f); + + // We can now get the pointer key for the instance field. + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + LOGGER.fine("Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + // Get the points-to set for the instance field. + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + // If the instance field points to a constant, we can use it as the shape. + // TODO: Is it possible to also do it for (simple) expressions? + Set> tensorDimensions = HashSetFactory.make(); + + for (InstanceKey instanceFieldIK : instanceFieldPointsToSet) { + if (instanceFieldIK instanceof ConstantKey) { + // We have a constant key. + ConstantKey instanceFieldConstant = (ConstantKey) instanceFieldIK; + Object instanceFieldValue = instanceFieldConstant.getValue(); + + // We have a shape value. + Long shapeValue = (Long) instanceFieldValue; + LOGGER.fine( + "Found shape value: " + shapeValue + " for " + source.getPointerKey() + "."); + + Dimension dimension = new NumericDim(shapeValue.intValue()); + + LOGGER.fine("Adding dimension: " + dimension + "."); + tensorDimensions.add(dimension); + } else + throw new IllegalStateException( + "Expected a constant key for instance field: " + + pointerKeyForInstanceField + + ", but got: " + + instanceFieldIK + + "."); + } + + LOGGER.info( + "Found possible shape dimensions: " + + tensorDimensions + + " for field: " + + pointerKeyForInstanceField + + " for source: " + + source + + "."); + + // Add the shape dimensions. + assert possibleDimensions[fieldIndex] == null + : "Duplicate field index: " + + fieldIndex + + " in object catalog: " + + objectCatalogPointsToSet + + "."; + + possibleDimensions[fieldIndex] = tensorDimensions; + LOGGER.fine( + "Added shape dimensions: " + + tensorDimensions + + " for field index: " + + fieldIndex + + "."); + } + + for (int i = 0; i < possibleDimensions.length; i++) + for (Dimension iDim : possibleDimensions[i]) { + @SuppressWarnings("unchecked") + Dimension[] dimensions = new Dimension[possibleDimensions.length]; + + dimensions[i] = iDim; + + for (int j = 0; j < possibleDimensions.length; j++) + if (i != j) + for (Dimension jDim : possibleDimensions[j]) dimensions[j] = jDim; + + ret.add(asList(dimensions)); + } + } else + throw new IllegalStateException( + "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); + } + + return ret; + } + + protected abstract Set>> getDefaultShapes(PropagationCallGraphBuilder builder); + + protected abstract int getValueNumberForShapeArgument(); + /** * Returns the possible shapes of the tensor returned by this generator. * * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. * @return a set of shapes, where each shape is represented as a list of dimensions */ - protected abstract Set>> getShapes(PropagationCallGraphBuilder builder); + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); + // Get the shape from the explicit argument. + // FIXME: Handle keyword arguments. + int valueNumber = this.getValueNumberForShapeArgument(); + + PointerKey pointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + + // If the argument shape is not specified. + if (pointsToSet.isEmpty()) return getDefaultShapes(builder); + else + // The shape points-to set is non-empty, meaning that the shape was explicitly set. + return getShapes(builder, pointsToSet); + } protected EnumSet getDTypes( - PropagationCallGraphBuilder builder, Iterable dTypePointsToSet) { + PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - for (InstanceKey dTypeIK : dTypePointsToSet) { - IClass concreteType = dTypeIK.getConcreteType(); + for (InstanceKey instanceKey : pointsToSet) { + IClass concreteType = instanceKey.getConcreteType(); TypeReference typeReference = concreteType.getReference(); if (typeReference.equals(TensorFlowTypes.D_TYPE)) { @@ -139,7 +281,7 @@ protected EnumSet getDTypes( .getPointerKeyForInstanceField(tensorFlowIK, float32Field); for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) - if (float32IK.equals(dTypeIK)) { + if (float32IK.equals(instanceKey)) { ret.add(FLOAT32); LOGGER.info( "Found dtype: " @@ -147,9 +289,9 @@ protected EnumSet getDTypes( + " for source: " + source + " from dType: " - + dTypeIK + + instanceKey + "."); - } else throw new IllegalStateException("Unknown dtype: " + dTypeIK + "."); + } else throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); } else throw new IllegalStateException( "Expected a " @@ -162,6 +304,8 @@ protected EnumSet getDTypes( return ret; } + protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); + protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); From 7b2dbae9ac6f2c7f67bf229b6542a4262ad7f951 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 15:27:54 -0400 Subject: [PATCH 058/253] Add method "implementations." --- .../com/ibm/wala/cast/python/ml/client/Range.java | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 97533278e..21fca7333 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -114,4 +114,17 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // TODO Auto-generated method stub return null; } + + @Override + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + throw new UnsupportedOperationException( + "Shapes for range() are derived from mandatory numeric arguments and must be provided" + + " explicitly."); + } + + @Override + protected int getValueNumberForShapeArgument() { + throw new UnsupportedOperationException( + "Range does not have a shape argument. Its shape is derived from the numeric arguments."); + } } From 1509bf46a98b297e9f4a1d6db96d2fc701d068d7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 16:10:00 -0400 Subject: [PATCH 059/253] Add tests. --- .../python/ml/test/TestTensorflow2Model.java | 25 +++++++++++++++++++ .../data/tf2_test_static_method13.py | 16 ++++++++++++ 2 files changed, 41 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_static_method13.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 62ffd3c19..bf206fe84 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -74,6 +74,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_5_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(5))); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -3415,6 +3418,28 @@ public void testStaticMethod12() throws ClassHierarchyException, CancelException test("tf2_test_static_method12.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } + @Test(expected = IllegalStateException.class) + public void testStaticMethod13() throws ClassHierarchyException, CancelException, IOException { + // NOTE: This test will no longer throw an exception once data types other than lists are + // supported for shape arguments. + test( + "tf2_test_static_method13.py", + "MyClass.the_static_method", + 1, + 1, + Map.of(2, Set.of(TENSOR_5_FLOAT32))); + } + + @Test + public void testStaticMethod14() throws ClassHierarchyException, CancelException, IOException { + test( + "tf2_test_static_method14.py", + "MyClass.the_static_method", + 1, + 1, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); + } + @Test public void testClassMethod() throws ClassHierarchyException, CancelException, IOException { test( diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_static_method13.py b/com.ibm.wala.cast.python.test/data/tf2_test_static_method13.py new file mode 100644 index 000000000..a60222983 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_static_method13.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +class MyClass: + + @staticmethod + def the_static_method(x): + assert isinstance(x, tf.Tensor) + + +a = tf.constant(1, tf.float32, (5,)) + +assert a.shape == (5,) +assert a.dtype == tf.float32 + +MyClass.the_static_method(a) From fc2d4bceb331aae2eff1c89c83f0b1cb0d374cd3 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 16:14:20 -0400 Subject: [PATCH 060/253] Add file. --- .../data/tf2_test_static_method14.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_static_method14.py diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_static_method14.py b/com.ibm.wala.cast.python.test/data/tf2_test_static_method14.py new file mode 100644 index 000000000..2c2457989 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_static_method14.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +class MyClass: + + @staticmethod + def the_static_method(x): + assert isinstance(x, tf.Tensor) + + +a = tf.constant(1, tf.float32, ([1, 2])) + +assert a.shape == (1, 2) +assert a.dtype == tf.float32 + +MyClass.the_static_method(a) From a7c09e0c02f369b23a8e62285836a52193afdc9d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Wed, 20 Aug 2025 16:28:53 -0400 Subject: [PATCH 061/253] Add comments. --- .../source/com/ibm/wala/cast/python/ml/client/Range.java | 5 +++++ com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py | 2 +- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 21fca7333..ce3598889 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -111,6 +111,8 @@ private int getNumberOfNumericPositionalArgs(PointerAnalysis pointe @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + // The dtype of the resulting tensor is inferred from the inputs unless it is provided + // explicitly. // TODO Auto-generated method stub return null; } @@ -127,4 +129,7 @@ protected int getValueNumberForShapeArgument() { throw new UnsupportedOperationException( "Range does not have a shape argument. Its shape is derived from the numeric arguments."); } + + // TODO: We need a value number for the dtype argument. Also, that value number can differ + // depending on the version of the `range` function being called. } diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py index 60531f3e7..d9597440e 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py @@ -6,7 +6,7 @@ def returned(a): return a -a = tf.range(5) +a = tf.range(5) # TODO: We also need one here with a dtype explicitly set. assert a.shape == (5,) assert a.dtype == tf.int32 From 6c88c945a8df174f1a52ac3cf369fbe8eb31f746 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 10:16:46 -0400 Subject: [PATCH 062/253] Remove TODO. --- com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py index d9597440e..60531f3e7 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_decorator2.py @@ -6,7 +6,7 @@ def returned(a): return a -a = tf.range(5) # TODO: We also need one here with a dtype explicitly set. +a = tf.range(5) assert a.shape == (5,) assert a.dtype == tf.int32 From 108848893e81808bf19644e951fbcd56a2fe8ef6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 10:40:33 -0400 Subject: [PATCH 063/253] Comments and variable rename. --- .../wala/cast/python/ml/client/TensorGenerator.java | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index f057bbc80..965e1f95a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -207,9 +207,10 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Get the shape from the explicit argument. // FIXME: Handle keyword arguments. - int valueNumber = this.getValueNumberForShapeArgument(); + int shapeArgValueNum = this.getValueNumberForShapeArgument(); - PointerKey pointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + PointerKey pointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, shapeArgValueNum); OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); // If the argument shape is not specified. @@ -304,6 +305,14 @@ protected EnumSet getDTypes( return ret; } + /** + * Returns a set of possible dtypes of the tensor returned by this generator when an explicit + * dtype isn't provided as an argument. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @return The set of possible dtypes of the tensor returned by this generator when an explicit + * dtype isn't provided as an argument. + */ protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { From bc446c82f7ddd97cd6405dc3ca99125739cf8654 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 10:41:02 -0400 Subject: [PATCH 064/253] Add value number for dtype. --- .../com/ibm/wala/cast/python/ml/client/Constant.java | 7 +++++++ .../source/com/ibm/wala/cast/python/ml/client/Ones.java | 7 +++++++ .../source/com/ibm/wala/cast/python/ml/client/Range.java | 8 ++++++-- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 7 ++++++- 4 files changed, 26 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 8fe3f6777..fc615ee35 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -29,6 +29,8 @@ public class Constant extends TensorGenerator { private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 4; + private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; + public Constant(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -115,4 +117,9 @@ protected int getValueNumberForShapeArgument() { // function's name). return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; } + + @Override + protected int getValueNumberForDTypeArgument() { + return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index d53a4b5b5..c6655d972 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -21,6 +21,8 @@ public class Ones extends TensorGenerator { private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; + private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; + public Ones(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -44,4 +46,9 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b protected int getValueNumberForShapeArgument() { return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; // The shape is in the first explicit argument. } + + @Override + protected int getValueNumberForDTypeArgument() { + return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; // The dtype is in the second explicit argument. + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index ce3598889..857ca2994 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -130,6 +130,10 @@ protected int getValueNumberForShapeArgument() { "Range does not have a shape argument. Its shape is derived from the numeric arguments."); } - // TODO: We need a value number for the dtype argument. Also, that value number can differ - // depending on the version of the `range` function being called. + @Override + protected int getValueNumberForDTypeArgument() { + // TODO: We need a value number for the dtype argument. Also, that value number can differ + // depending on the version of the `range` function being called. + throw new UnimplementedError("Positional dtype argument for range() is not yet implemented."); + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 965e1f95a..e2f0c8998 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -315,12 +315,17 @@ protected EnumSet getDTypes( */ protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); + protected abstract int getValueNumberForDTypeArgument(); + protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + int dTypeArgValueNum = this.getValueNumberForDTypeArgument(); + // The dtype is the second explicit argument. // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 3); + PointerKey dTypePointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, dTypeArgValueNum); OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); // If the argument dtype is not specified. From ea5205da46b2dfc8fe0270bb31d05c27d7574866 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:30:39 -0400 Subject: [PATCH 065/253] Return -1 for unsupported dtype arguments. --- .../ibm/wala/cast/python/ml/client/Range.java | 3 ++- .../python/ml/client/TensorGenerator.java | 23 +++++++++++++------ 2 files changed, 18 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 857ca2994..62beeea29 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -134,6 +134,7 @@ protected int getValueNumberForShapeArgument() { protected int getValueNumberForDTypeArgument() { // TODO: We need a value number for the dtype argument. Also, that value number can differ // depending on the version of the `range` function being called. - throw new UnimplementedError("Positional dtype argument for range() is not yet implemented."); + + return -1; // Positional dtype argument for range() is not yet implemented. } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index e2f0c8998..cfcec155e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -315,21 +315,30 @@ protected EnumSet getDTypes( */ protected abstract EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder); + /** + * Returns the value number for the dtype argument in the function call. + * + * @return The value number for the dtype argument in the function call or -1 if the dtype + * argument is not supported. + */ protected abstract int getValueNumberForDTypeArgument(); protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); int dTypeArgValueNum = this.getValueNumberForDTypeArgument(); - - // The dtype is the second explicit argument. - // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, dTypeArgValueNum); - OrdinalSet dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + OrdinalSet dTypePointsToSet = null; + + if (dTypeArgValueNum > 0) { + // The dtype is in an explicit argument. + // FIXME: Handle keyword arguments. + PointerKey dTypePointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, dTypeArgValueNum); + dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + } // If the argument dtype is not specified. - if (dTypePointsToSet.isEmpty()) return getDefaultDTypes(builder); + if (dTypePointsToSet == null || dTypePointsToSet.isEmpty()) return getDefaultDTypes(builder); else // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. return getDTypes(builder, dTypePointsToSet); From e161461c82ad058f035e1f75776450ba82efff7f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:32:35 -0400 Subject: [PATCH 066/253] Rename variables. --- .../cast/python/ml/client/TensorGenerator.java | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index cfcec155e..d2b94c726 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -326,21 +326,20 @@ protected EnumSet getDTypes( protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - int dTypeArgValueNum = this.getValueNumberForDTypeArgument(); - OrdinalSet dTypePointsToSet = null; + int valNum = this.getValueNumberForDTypeArgument(); + OrdinalSet pointsToSet = null; - if (dTypeArgValueNum > 0) { + if (valNum > 0) { // The dtype is in an explicit argument. // FIXME: Handle keyword arguments. - PointerKey dTypePointerKey = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, dTypeArgValueNum); - dTypePointsToSet = pointerAnalysis.getPointsToSet(dTypePointerKey); + PointerKey pointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valNum); + pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); } // If the argument dtype is not specified. - if (dTypePointsToSet == null || dTypePointsToSet.isEmpty()) return getDefaultDTypes(builder); + if (pointsToSet == null || pointsToSet.isEmpty()) return getDefaultDTypes(builder); else // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. - return getDTypes(builder, dTypePointsToSet); + return getDTypes(builder, pointsToSet); } } From 6277b7c12f34040a596a1a96f096f5d1b94ce143 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:49:00 -0400 Subject: [PATCH 067/253] Add docs. --- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index d2b94c726..bd17ed792 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -220,6 +220,14 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return getShapes(builder, pointsToSet); } + /** + * Returns the possible dtypes of the tensor returned by this generator. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param pointsToSet The points-to set of the dtype argument, which is expected to be a set of + * type literals. + * @return A set of possible dtypes of the tensor returned by this generator. + */ protected EnumSet getDTypes( PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); From 9437259e2937e98f5acea7226c3da8c025d84a64 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:50:02 -0400 Subject: [PATCH 068/253] Extract method refactoring. --- .../ibm/wala/cast/python/ml/client/Constant.java | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index fc615ee35..6f1657f3b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -57,14 +57,11 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b return ret; } - @Override - protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + private EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - // If the argument dtype is not specified, then the type is inferred from the type of value. - // TODO: Handle keyword arguments. - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) if (valueIK instanceof ConstantKey) { // It's a scalar value. @@ -110,6 +107,13 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { return ret; } + @Override + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + // If the argument dtype is not specified, then the type is inferred from the type of value. + // TODO: Handle keyword arguments. + return getDTypes(builder, 2); + } + @Override protected int getValueNumberForShapeArgument() { // Shapes can also be specified as an explicit argument. Here, we examine the third explicit From ea949e76dc7e2eb974efb749d4178c25219f3e54 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:52:26 -0400 Subject: [PATCH 069/253] Pull up method refactoring. --- .../wala/cast/python/ml/client/Constant.java | 53 ------------------- .../python/ml/client/TensorGenerator.java | 53 +++++++++++++++++++ 2 files changed, 53 insertions(+), 53 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 6f1657f3b..f4e6b1fbf 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -1,8 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; import static java.util.Collections.emptyList; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; @@ -57,56 +54,6 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b return ret; } - private EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { - EnumSet ret = EnumSet.noneOf(DType.class); - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); - - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK instanceof ConstantKey) { // It's a scalar value. - ConstantKey constantKey = (ConstantKey) valueIK; - Object value = constantKey.getValue(); - - if (value instanceof Float || value instanceof Double) { - ret.add(FLOAT32); - LOGGER.info( - "Inferred dtype: " - + FLOAT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof Integer || value instanceof Long) { - ret.add(INT32); - LOGGER.info( - "Inferred dtype: " - + INT32 - + " for source: " - + source - + " from value: " - + value - + "."); - } else if (value instanceof String) { - ret.add(STRING); - LOGGER.info( - "Inferred dtype: " - + STRING - + " for source: " - + source - + " from value: " - + value - + "."); - } else throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); - } else - // TODO: More cases. - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - - return ret; - } - @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // If the argument dtype is not specified, then the type is inferred from the type of value. diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index bd17ed792..fec839dc0 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -1,6 +1,8 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; @@ -350,4 +352,55 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. return getDTypes(builder, pointsToSet); } + + protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { + EnumSet ret = EnumSet.noneOf(DType.class); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK + instanceof com.ibm.wala.ipa.callgraph.propagation.ConstantKey) { // It's a scalar value. + ConstantKey constantKey = (ConstantKey) valueIK; + Object value = constantKey.getValue(); + if (value instanceof Float || value instanceof Double) { + ret.add(FLOAT32); + LOGGER.info( + "Inferred dtype: " + + FLOAT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof Integer || value instanceof Long) { + ret.add(INT32); + LOGGER.info( + "Inferred dtype: " + + INT32 + + " for source: " + + source + + " from value: " + + value + + "."); + } else if (value instanceof String) { + ret.add(STRING); + LOGGER.info( + "Inferred dtype: " + + STRING + + " for source: " + + source + + " from value: " + + value + + "."); + } else throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else + // TODO: More cases. + throw new IllegalStateException( + "Expected a " + + com.ibm.wala.ipa.callgraph.propagation.ConstantKey.class + + " for value, but got: " + + valueIK + + "."); + return ret; + } } From ff68dae80367b44c6070d656bbaf7b1f9f3fb410 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:55:39 -0400 Subject: [PATCH 070/253] Extract constant refactoring. --- .../source/com/ibm/wala/cast/python/ml/client/Constant.java | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index f4e6b1fbf..d1b79d77f 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -28,6 +28,8 @@ public class Constant extends TensorGenerator { private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; + private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 2; + public Constant(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -58,7 +60,7 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // If the argument dtype is not specified, then the type is inferred from the type of value. // TODO: Handle keyword arguments. - return getDTypes(builder, 2); + return getDTypes(builder, VALUE_NUMBER_FOR_VALUE_ARGUMENT); } @Override From 0cf87cd6c207c92c1b76e0c7c75a709420340b3e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 11:55:53 -0400 Subject: [PATCH 071/253] Format. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index fec839dc0..cb97dcf79 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -357,6 +357,7 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valu EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) if (valueIK instanceof com.ibm.wala.ipa.callgraph.propagation.ConstantKey) { // It's a scalar value. From 772319ff89d4509f74f401b258371ff2d547b87d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 21 Aug 2025 12:42:26 -0400 Subject: [PATCH 072/253] Fix https://github.com/wala/ML/issues/298. --- .../python/ml/test/TestTensorflow2Model.java | 30 +++++++++---------- .../ibm/wala/cast/python/ml/client/Range.java | 26 ++++++++++++++-- 2 files changed, 38 insertions(+), 18 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index bf206fe84..91de0a922 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -77,6 +77,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_5_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(5))); + private static final TensorType TENSOR_5_INT32 = + new TensorType(INT_32, asList(new NumericDim(5))); + @Test public void testValueIndex() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -148,72 +151,67 @@ public void testFunction4() @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test( - "tf2_test_decorator2.py", - "returned", - 1, - 1, - Map.of(2, Set.of(new TensorType(INT_32, asList(new NumericDim(5)))))); + test("tf2_test_decorator2.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator3.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator3.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator4() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator4.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator4.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator5() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator5.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator5.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator6() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator6.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator6.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator7() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator7.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator7.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator8() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator8.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator8.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator9() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator9.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator9.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator10() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator10.py", "returned", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_decorator10.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } @Test public void testDecorator11() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator11.py", "C.returned", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test("tf2_test_decorator11.py", "C.returned", 1, 1, Map.of(3, Set.of(TENSOR_5_INT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 62beeea29..91ffe871e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,5 +1,7 @@ package com.ibm.wala.cast.python.ml.client; +import static java.util.function.Function.identity; + import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; @@ -16,6 +18,8 @@ import java.util.EnumSet; import java.util.List; import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.IntStream; import java.util.stream.StreamSupport; /** @@ -113,8 +117,26 @@ private int getNumberOfNumericPositionalArgs(PointerAnalysis pointe protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // The dtype of the resulting tensor is inferred from the inputs unless it is provided // explicitly. - // TODO Auto-generated method stub - return null; + + // TODO: Handle keyword arguments. + int numberOfNumericPositionalArgs = + getNumberOfNumericPositionalArgs(builder.getPointerAnalysis()); + + EnumSet types = + IntStream.range(0, numberOfNumericPositionalArgs) + .map(i -> i + 2) // Positional arguments start at index 2. + .mapToObj(val -> getDTypes(builder, val).stream()) + .flatMap(identity()) + .distinct() + .collect(Collectors.toCollection(() -> EnumSet.noneOf(DType.class))); + + if (types.contains(DType.FLOAT64)) return EnumSet.of(DType.FLOAT64); + else if (types.contains(DType.FLOAT32)) return EnumSet.of(DType.FLOAT32); + else if (types.contains(DType.INT64)) return EnumSet.of(DType.INT64); + else if (types.contains(DType.INT32)) return EnumSet.of(DType.INT32); + + throw new IllegalStateException( + "Expected at least one numeric dtype for range(), but got: " + types + "."); } @Override From fc152a6b0067288ec7038a5fc4a9b1126ef787c0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 10:35:14 -0400 Subject: [PATCH 073/253] Encapsulate field refactoring. --- .../source/com/ibm/wala/cast/python/ml/client/Constant.java | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index d1b79d77f..e087e2516 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -60,7 +60,7 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // If the argument dtype is not specified, then the type is inferred from the type of value. // TODO: Handle keyword arguments. - return getDTypes(builder, VALUE_NUMBER_FOR_VALUE_ARGUMENT); + return getDTypes(builder, this.getValueNumberForValueArgument()); } @Override @@ -75,4 +75,8 @@ protected int getValueNumberForShapeArgument() { protected int getValueNumberForDTypeArgument() { return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; } + + protected int getValueNumberForValueArgument() { + return VALUE_NUMBER_FOR_VALUE_ARGUMENT; + } } From c60f50ab042545cf7347c413249207f36cc4e20f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 10:35:26 -0400 Subject: [PATCH 074/253] Add assertions. --- com.ibm.wala.cast.python.test/data/tf2_test_function.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function.py b/com.ibm.wala.cast.python.test/data/tf2_test_function.py index 05006b94c..c4e000163 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_function.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function.py @@ -8,7 +8,11 @@ def func2(t): @tf.function def func(): a = tf.constant([[1.0, 2.0], [3.0, 4.0]]) + assert a.shape == (2, 2) + b = tf.constant([[1.0, 1.0], [0.0, 1.0]]) + assert b.shape == (2, 2) + c = tf.matmul(a, b) tensor = tf.experimental.numpy.ndarray(c.op, 0, tf.float32) func2(tensor) From 9060c0c5d5de6b9e2c9f03f0161e95c9cebaf174 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 11:06:15 -0400 Subject: [PATCH 075/253] Shorten. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index cb97dcf79..af0b61634 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -359,8 +359,7 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valu PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK - instanceof com.ibm.wala.ipa.callgraph.propagation.ConstantKey) { // It's a scalar value. + if (valueIK instanceof ConstantKey) { // It's a scalar value. ConstantKey constantKey = (ConstantKey) valueIK; Object value = constantKey.getValue(); if (value instanceof Float || value instanceof Double) { From a1d1b9c1e438e3a279f1e1e2bede1ab8d765f707 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 11:13:13 -0400 Subject: [PATCH 076/253] Fix comment. --- .../source/com/ibm/wala/cast/python/ml/client/Constant.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index e087e2516..7cc326a01 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -58,7 +58,7 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { - // If the argument dtype is not specified, then the type is inferred from the type of value. + // If the dtype argument is not specified, then the type is inferred from the type of value. // TODO: Handle keyword arguments. return getDTypes(builder, this.getValueNumberForValueArgument()); } From 613fbf5ddefa04e0b34a0871aedea4d3a76dbfe6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 11:18:41 -0400 Subject: [PATCH 077/253] Pull-up method refactoring. Sort of. --- .../wala/cast/python/ml/client/Constant.java | 26 ++----------------- .../python/ml/client/TensorGenerator.java | 20 ++++++++++++++ 2 files changed, 22 insertions(+), 24 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 7cc326a01..be0977646 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -1,17 +1,10 @@ package com.ibm.wala.cast.python.ml.client; -import static java.util.Collections.emptyList; - import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; -import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; -import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; -import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.util.collections.HashSetFactory; import java.util.EnumSet; import java.util.List; import java.util.Set; @@ -36,24 +29,9 @@ public Constant(PointsToSetVariable source, CGNode node) { @Override protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { - Set>> ret = HashSetFactory.make(); - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - - // The shape is that of the first explicit argument. + // If the shape argument is not specified, then the shape is inferred from the shape of value. // TODO: Handle keyword arguments. - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) - if (valueIK instanceof ConstantKey) - // It's a scalar value. A scalar has no dimensions, so its shape is represented by an - // empty tuple (). - ret.add(emptyList()); - else - // TODO: More cases. - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); - - return ret; + return getShapes(builder, this.getValueNumberForValueArgument()); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index af0b61634..13ca4d57b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -10,6 +10,7 @@ import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; +import static java.util.Collections.emptyList; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; @@ -222,6 +223,25 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return getShapes(builder, pointsToSet); } + protected Set>> getShapes( + PropagationCallGraphBuilder builder, int valueNumber) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + + for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + if (valueIK instanceof ConstantKey) + // It's a scalar value. A scalar has no dimensions, so its shape is represented by an + // empty tuple (). + ret.add(emptyList()); + else + // TODO: More cases. + throw new IllegalStateException( + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + + return ret; + } + /** * Returns the possible dtypes of the tensor returned by this generator. * From 2e1c5e8ca9e00730ac544170184b4451fb0d3106 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 11:25:01 -0400 Subject: [PATCH 078/253] Sort members refactoring. --- .../wala/cast/python/ml/client/Constant.java | 20 +++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index be0977646..b034bfce8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -17,11 +17,11 @@ */ public class Constant extends TensorGenerator { - private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 4; + private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 2; private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; - private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 2; + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 4; public Constant(PointsToSetVariable source, CGNode node) { super(source, node); @@ -41,14 +41,6 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { return getDTypes(builder, this.getValueNumberForValueArgument()); } - @Override - protected int getValueNumberForShapeArgument() { - // Shapes can also be specified as an explicit argument. Here, we examine the third explicit - // argument (recall that the first argument is implicit and corresponds to the called - // function's name). - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; - } - @Override protected int getValueNumberForDTypeArgument() { return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; @@ -57,4 +49,12 @@ protected int getValueNumberForDTypeArgument() { protected int getValueNumberForValueArgument() { return VALUE_NUMBER_FOR_VALUE_ARGUMENT; } + + @Override + protected int getValueNumberForShapeArgument() { + // Shapes can also be specified as an explicit argument. Here, we examine the third explicit + // argument (recall that the first argument is implicit and corresponds to the called + // function's name). + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + } } From 8b72fe5a895542a8e29e33513a66465b6d66f9d7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 11:42:25 -0400 Subject: [PATCH 079/253] Add docs. --- .../python/ml/client/TensorGenerator.java | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 13ca4d57b..4cb48459b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -77,6 +77,13 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { return ret; } + /** + * Returns the possible shapes of the tensor returned by this generator. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param pointsToSet The points-to set of the shape argument. + * @return A set of possible shapes of the tensor returned by this generator. + */ protected Set>> getShapes( PropagationCallGraphBuilder builder, Iterable pointsToSet) { Set>> ret = HashSetFactory.make(); @@ -223,6 +230,14 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return getShapes(builder, pointsToSet); } + /** + * Returns the possible shapes of the tensor returned by this generator. The shape is inferred + * from the argument represented by the given value number. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param valueNumber The value number of the argument from which to infer the shape. + * @return A set of possible shapes of the tensor returned by this generator. + */ protected Set>> getShapes( PropagationCallGraphBuilder builder, int valueNumber) { Set>> ret = HashSetFactory.make(); @@ -373,6 +388,14 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { return getDTypes(builder, pointsToSet); } + /** + * Returns the possible dtypes of the tensor returned by this generator. The dtype is inferred + * from the argument represented by the given value number. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param valueNumber The value number of the argument from which to infer the dtype. + * @return A set of possible dtypes of the tensor returned by this generator. + */ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); From b38d46094de5c61ca7070d169d9ff6135536d2a5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 12:29:02 -0400 Subject: [PATCH 080/253] Extract variable refactoring. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 4cb48459b..dff4e4460 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -243,8 +243,9 @@ protected Set>> getShapes( Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + for (InstanceKey valueIK : valuePointsToSet) if (valueIK instanceof ConstantKey) // It's a scalar value. A scalar has no dimensions, so its shape is represented by an // empty tuple (). From b2f814f5d6cb05eae9cb49e857dfbe1f4c0afdad Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 12:29:17 -0400 Subject: [PATCH 081/253] Progress. --- .../python/ml/client/TensorGenerator.java | 48 ++++++++++++++++++- 1 file changed, 47 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index dff4e4460..7e62bbfef 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -250,7 +250,53 @@ protected Set>> getShapes( // It's a scalar value. A scalar has no dimensions, so its shape is represented by an // empty tuple (). ret.add(emptyList()); - else + else if (valueIK instanceof AllocationSiteInNode) { + AllocationSiteInNode asin = (AllocationSiteInNode) valueIK; + TypeReference reference = asin.getConcreteType().getReference(); + + if (reference.equals(list)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + // TODO: Is this one of the tensor dimensions? + LOGGER.fine( + "The object catalog points-to set size is: " + objectCatalogPointsToSet.size() + "."); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, + findOrCreateAsciiAtom(fieldIndex.toString()), + PythonTypes.Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + LOGGER.fine("Found field: " + f); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + LOGGER.fine( + "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + // TODO: We have another list here. It would seem to me that the size of each of these + // lists corresponds to a dimension. Thus, we could store the already obtained dimension + // here and then recursively call this function. However, we would need another method + // that takes a points-to set. But, we already have one of those. The problem is that + // the existing one represents a points-to set corresponding to a shape, whereas here we + // have one that corresponds to a value. So, we would need to distinguish between the + // two cases. + } + } + } else // TODO: More cases. throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); From 949eca2d0bce77b391e9ca9d8c5b59c235244ca2 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 26 Aug 2025 12:36:22 -0400 Subject: [PATCH 082/253] Add comment. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 7e62bbfef..05b6eba1c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -282,7 +282,7 @@ else if (valueIK instanceof AllocationSiteInNode) { PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); LOGGER.fine( "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); - + // Get the points-to set for the instance field. OrdinalSet instanceFieldPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); From 1210fbf282cd4850e8423abfff1e53fd5025af5d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 12:58:26 -0400 Subject: [PATCH 083/253] New test. --- .../cast/python/ml/test/TestTensorflow2Model.java | 6 ++++++ .../data/tf2_test_function5.py | 11 +++++++++++ 2 files changed, 17 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function5.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 91de0a922..8c9ab60ba 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -147,6 +147,12 @@ public void testFunction4() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_function4.py", "func2", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); } + + @Test + public void testFunction5() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function5.py", "func2", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + } @Test public void testDecorator() diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function5.py b/com.ibm.wala.cast.python.test/data/tf2_test_function5.py new file mode 100644 index 000000000..375130982 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function5.py @@ -0,0 +1,11 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant([[1.0, 2.0], [3.0, 4.0]]) +assert a.shape == (2, 2) + +func(a) From 8a05bc5b557f1b2d41f5fab599500b14832bd313 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 12:58:30 -0400 Subject: [PATCH 084/253] New line. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 05b6eba1c..099f94797 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -282,6 +282,7 @@ else if (valueIK instanceof AllocationSiteInNode) { PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); LOGGER.fine( "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + // Get the points-to set for the instance field. OrdinalSet instanceFieldPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); From d7c7b2057c218fc7899a5f04171797df64aada06 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 13:01:43 -0400 Subject: [PATCH 085/253] Format. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 8c9ab60ba..a6a07fa83 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -147,7 +147,7 @@ public void testFunction4() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_function4.py", "func2", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); } - + @Test public void testFunction5() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { From f45d1d4bff04bbfb344b126176413fa1278dffd6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 13:19:51 -0400 Subject: [PATCH 086/253] Rename method. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 099f94797..ef87d48e7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -84,7 +84,7 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { * @param pointsToSet The points-to set of the shape argument. * @return A set of possible shapes of the tensor returned by this generator. */ - protected Set>> getShapes( + protected Set>> getShapesFromShapeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -227,7 +227,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) if (pointsToSet.isEmpty()) return getDefaultShapes(builder); else // The shape points-to set is non-empty, meaning that the shape was explicitly set. - return getShapes(builder, pointsToSet); + return getShapesFromShapeArgument(builder, pointsToSet); } /** From 8cd367eb0d5420b520646425ce64f0cb9def6562 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 13:20:07 -0400 Subject: [PATCH 087/253] Fix test. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index a6a07fa83..0949c83eb 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -151,7 +151,7 @@ public void testFunction4() @Test public void testFunction5() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_function5.py", "func2", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_function5.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } @Test From 4450b92d82fac3da90fbdd9c992d8b7585bcd897 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 28 Aug 2025 14:46:17 -0400 Subject: [PATCH 088/253] Revert "Rename method." This reverts commit f45d1d4bff04bbfb344b126176413fa1278dffd6. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ef87d48e7..099f94797 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -84,7 +84,7 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { * @param pointsToSet The points-to set of the shape argument. * @return A set of possible shapes of the tensor returned by this generator. */ - protected Set>> getShapesFromShapeArgument( + protected Set>> getShapes( PropagationCallGraphBuilder builder, Iterable pointsToSet) { Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -227,7 +227,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) if (pointsToSet.isEmpty()) return getDefaultShapes(builder); else // The shape points-to set is non-empty, meaning that the shape was explicitly set. - return getShapesFromShapeArgument(builder, pointsToSet); + return getShapes(builder, pointsToSet); } /** From c92b5b27b24b11f08b586218d8c885d07c84f427 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 11:00:14 -0400 Subject: [PATCH 089/253] Add metadata. --- pyproject.toml | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 pyproject.toml diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 000000000..2d2500d7c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,7 @@ +[tool.black] +extend-exclude = ''' + /( + IDE + | jython3 + )/ +''' From f3c63cee0da44ad37d1456481686c0f38aa3c186 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 11:01:34 -0400 Subject: [PATCH 090/253] New test. --- .../cast/python/ml/test/TestTensorflow2Model.java | 9 +++++++++ .../data/tf2_test_function6.py | 11 +++++++++++ 2 files changed, 20 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 0949c83eb..53d4288df 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -74,6 +74,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_2_1_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); + private static final TensorType TENSOR_5_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(5))); @@ -154,6 +157,12 @@ public void testFunction5() test("tf2_test_function5.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } + @Test + public void testFunction6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function6.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_1_FLOAT32))); + } + @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function6.py b/com.ibm.wala.cast.python.test/data/tf2_test_function6.py new file mode 100644 index 000000000..61c99f02a --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function6.py @@ -0,0 +1,11 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant([[1.0], [3.0]]) +assert a.shape == (2, 1) + +func(a) From fc8f4ba13f3b7261df1605e672300719154bc75c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 11:03:21 -0400 Subject: [PATCH 091/253] Cleanup. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 099f94797..8fb763fd7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -487,11 +487,7 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valu } else // TODO: More cases. throw new IllegalStateException( - "Expected a " - + com.ibm.wala.ipa.callgraph.propagation.ConstantKey.class - + " for value, but got: " - + valueIK - + "."); + "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); return ret; } } From 3a332c1fe37833c11cf10b35bd2517b27db46e7e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 12:53:40 -0400 Subject: [PATCH 092/253] New test. --- .../cast/python/ml/test/TestTensorflow2Model.java | 9 +++++++++ .../data/tf2_test_function7.py | 11 +++++++++++ 2 files changed, 20 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function7.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 53d4288df..879b06168 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -77,6 +77,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); + private static final TensorType TENSOR_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2))); + private static final TensorType TENSOR_5_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(5))); @@ -163,6 +166,12 @@ public void testFunction6() test("tf2_test_function6.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_1_FLOAT32))); } + @Test + public void testFunction7() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function7.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_FLOAT32))); + } + @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function7.py b/com.ibm.wala.cast.python.test/data/tf2_test_function7.py new file mode 100644 index 000000000..3acf6acff --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function7.py @@ -0,0 +1,11 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant([1.0, 3.0]) +assert a.shape == (2,) + +func(a) From b91b2f15f7536bdf6691b85cb7fce9517b7bd746 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 15:55:22 -0400 Subject: [PATCH 093/253] Progress. --- .../python/ml/client/TensorGenerator.java | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 8fb763fd7..5a50d808a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -245,11 +245,18 @@ protected Set>> getShapes( PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); + getShapesOfValue(builder, valuePointsToSet); + + return ret; + } + + private Set>> getShapesOfValue( + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + Set>> ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + for (InstanceKey valueIK : valuePointsToSet) - if (valueIK instanceof ConstantKey) - // It's a scalar value. A scalar has no dimensions, so its shape is represented by an - // empty tuple (). - ret.add(emptyList()); + if (valueIK instanceof ConstantKey) ret.add(emptyList()); // Scalar value. else if (valueIK instanceof AllocationSiteInNode) { AllocationSiteInNode asin = (AllocationSiteInNode) valueIK; TypeReference reference = asin.getConcreteType().getReference(); @@ -283,20 +290,13 @@ else if (valueIK instanceof AllocationSiteInNode) { LOGGER.fine( "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); - // Get the points-to set for the instance field. OrdinalSet instanceFieldPointsToSet = pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); - // TODO: We have another list here. It would seem to me that the size of each of these - // lists corresponds to a dimension. Thus, we could store the already obtained dimension - // here and then recursively call this function. However, we would need another method - // that takes a points-to set. But, we already have one of those. The problem is that - // the existing one represents a points-to set corresponding to a shape, whereas here we - // have one that corresponds to a value. So, we would need to distinguish between the - // two cases. + getShapesOfValue(builder, instanceFieldPointsToSet); } - } + } else throw new IllegalStateException("Unknown type reference: " + reference + "."); } else // TODO: More cases. throw new IllegalStateException( From ada8ff6142720575bf5220c3e5a400382e6b796b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Sep 2025 15:55:31 -0400 Subject: [PATCH 094/253] Add test file. --- test.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 test.py diff --git a/test.py b/test.py new file mode 100644 index 000000000..0a0c1e8e3 --- /dev/null +++ b/test.py @@ -0,0 +1,28 @@ +import tensorflow as tf + +# Shape (2,) +a = tf.constant([1.0, 3.0]) +print("Shape (2,): ", a) + +# Shape (2, 1) +b = tf.constant([[1.0], [3.0]]) +print("Shape (2, 1): ", b) + +# Shape (1, 2) +c = tf.constant([[1.0, 3.0]]) +print("Shape (1, 2): ", c) + +# Shape (2, 3, 4): 2 blocks, each with 3 rows and 4 columns +d = tf.constant([ + [ + [1, 2, 3, 4], + [5, 6, 7, 8], + [9, 10, 11, 12] + ], + [ + [13, 14, 15, 16], + [17, 18, 19, 20], + [21, 22, 23, 24] + ] +]) +print("Shape (2, 3, 4): ", d) From 1781fbc9ae2ee182b3ea70c22a68afeca8ef94dd Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Sep 2025 10:14:19 -0400 Subject: [PATCH 095/253] Black. --- test.py | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/test.py b/test.py index 0a0c1e8e3..2b889aeff 100644 --- a/test.py +++ b/test.py @@ -13,16 +13,10 @@ print("Shape (1, 2): ", c) # Shape (2, 3, 4): 2 blocks, each with 3 rows and 4 columns -d = tf.constant([ +d = tf.constant( [ - [1, 2, 3, 4], - [5, 6, 7, 8], - [9, 10, 11, 12] - ], - [ - [13, 14, 15, 16], - [17, 18, 19, 20], - [21, 22, 23, 24] + [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]], + [[13, 14, 15, 16], [17, 18, 19, 20], [21, 22, 23, 24]], ] -]) +) print("Shape (2, 3, 4): ", d) From 4e468796b9560cdbf3f464bf38adea46728a4dce Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Sep 2025 12:47:13 -0400 Subject: [PATCH 096/253] Add asserts. --- test.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/test.py b/test.py index 2b889aeff..ebcd7110b 100644 --- a/test.py +++ b/test.py @@ -3,14 +3,17 @@ # Shape (2,) a = tf.constant([1.0, 3.0]) print("Shape (2,): ", a) +assert a.shape == (2,) # Shape (2, 1) b = tf.constant([[1.0], [3.0]]) print("Shape (2, 1): ", b) +assert b.shape == (2, 1) # Shape (1, 2) c = tf.constant([[1.0, 3.0]]) print("Shape (1, 2): ", c) +assert c.shape == (1, 2) # Shape (2, 3, 4): 2 blocks, each with 3 rows and 4 columns d = tf.constant( @@ -20,3 +23,4 @@ ] ) print("Shape (2, 3, 4): ", d) +assert d.shape == (2, 3, 4) From c1db8f29b6678cbde71e63c60f18b64764719c0c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Sep 2025 12:47:48 -0400 Subject: [PATCH 097/253] Add another test case. --- test.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/test.py b/test.py index ebcd7110b..029620c7b 100644 --- a/test.py +++ b/test.py @@ -24,3 +24,13 @@ ) print("Shape (2, 3, 4): ", d) assert d.shape == (2, 3, 4) + +# Shape (2, 3, 3): 2 blocks, each with 3 rows and 3 columns +e = tf.constant( + [ + [[1, 2, 3], [5, 6, 7], [9, 10, 11]], + [[13, 14, 15], [17, 18, 19], [21, 22, 23]], + ] +) +print("Shape (2, 3, 3): ", e) +assert e.shape == (2, 3, 3) From 02acac2c13c41d4de0f3dfe8346e2e72f0591837 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Sep 2025 12:48:59 -0400 Subject: [PATCH 098/253] Simplify. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 5a50d808a..d8819a5dc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -240,14 +240,10 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) */ protected Set>> getShapes( PropagationCallGraphBuilder builder, int valueNumber) { - Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); - - getShapesOfValue(builder, valuePointsToSet); - - return ret; + return getShapesOfValue(builder, valuePointsToSet); } private Set>> getShapesOfValue( From be01c4ddd8a4b8f27f0f8e395466902d6e7b3e02 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Sep 2025 12:49:18 -0400 Subject: [PATCH 099/253] Progress. Not quite correct yet. --- .../cast/python/ml/client/TensorGenerator.java | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index d8819a5dc..215fa2215 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -39,6 +39,7 @@ import com.ibm.wala.types.TypeReference; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; +import java.util.ArrayList; import java.util.EnumSet; import java.util.List; import java.util.Optional; @@ -263,7 +264,6 @@ else if (valueIK instanceof AllocationSiteInNode) { ((AstPointerKeyFactory) builder.getPointerKeyFactory()) .getPointerKeyForObjectCatalog(asin)); - // TODO: Is this one of the tensor dimensions? LOGGER.fine( "The object catalog points-to set size is: " + objectCatalogPointsToSet.size() + "."); @@ -290,11 +290,20 @@ else if (valueIK instanceof AllocationSiteInNode) { pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); - getShapesOfValue(builder, instanceFieldPointsToSet); + Set>> shapesOfField = + getShapesOfValue(builder, instanceFieldPointsToSet); + + for (List> shapeList : shapesOfField) { + List> shape = new ArrayList<>(); + + shape.add(new NumericDim(objectCatalogPointsToSet.size())); + shape.addAll(shapeList); + + ret.add(shape); + } } } else throw new IllegalStateException("Unknown type reference: " + reference + "."); } else - // TODO: More cases. throw new IllegalStateException( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); From ecf7af98f9e392db988b7aa08251f3e98cd16ffd Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 9 Sep 2025 11:06:42 -0400 Subject: [PATCH 100/253] New test. --- .../python/ml/test/TestTensorflow2Model.java | 11 +++++++++++ .../data/tf2_test_function8.py | 19 +++++++++++++++++++ 2 files changed, 30 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function8.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 879b06168..c52c71a56 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -172,6 +172,17 @@ public void testFunction7() test("tf2_test_function7.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_FLOAT32))); } + @Test + public void testFunction8() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_function8.py", + "func", + 1, + 1, + Map.of(2, Set.of(TENSOR_2_1_FLOAT32, TENSOR_2_FLOAT32))); + } + @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function8.py b/com.ibm.wala.cast.python.test/data/tf2_test_function8.py new file mode 100644 index 000000000..ae30e4842 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function8.py @@ -0,0 +1,19 @@ +import tensorflow as tf +from random import random + + +def func(t): + pass + + +n = random() + +if n > 0.5: + l = [[1.0], [3.0]] +else: + l = [1.0, 3.0] + +a = tf.constant(l) +assert a.shape == (2, 1) or a.shape == (2,) + +func(a) From 86770a3edc2647ae5accb4253f90506665513219 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 9 Sep 2025 11:14:22 -0400 Subject: [PATCH 101/253] Add doc and change method names. --- .../wala/cast/python/ml/client/TensorGenerator.java | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 215fa2215..e4214adac 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -85,7 +85,7 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { * @param pointsToSet The points-to set of the shape argument. * @return A set of possible shapes of the tensor returned by this generator. */ - protected Set>> getShapes( + protected Set>> getShapesFromShapeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -228,7 +228,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) if (pointsToSet.isEmpty()) return getDefaultShapes(builder); else // The shape points-to set is non-empty, meaning that the shape was explicitly set. - return getShapes(builder, pointsToSet); + return getShapesFromShapeArgument(builder, pointsToSet); } /** @@ -247,6 +247,13 @@ protected Set>> getShapes( return getShapesOfValue(builder, valuePointsToSet); } + /** + * Returns the possible shapes of the tensor returned by this generator. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param pointsToSet The points-to set of the value from which the shape will be derived. + * @return A set of possible shapes of the tensor returned by this generator. + */ private Set>> getShapesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { Set>> ret = HashSetFactory.make(); From 1b88e96154a075eaebbcab6c6d66e74b1837cc84 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 9 Sep 2025 13:25:56 -0400 Subject: [PATCH 102/253] More tests. --- .../python/ml/test/TestTensorflow2Model.java | 24 +++++++++++++++++++ .../data/tf2_test_function10.py | 16 +++++++++++++ .../data/tf2_test_function11.py | 16 +++++++++++++ .../data/tf2_test_function9.py | 11 +++++++++ 4 files changed, 67 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function10.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function11.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function9.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index c52c71a56..614b9e74c 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -77,6 +77,12 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); + private static final TensorType TENSOR_2_3_3_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); + + private static final TensorType TENSOR_2_3_4_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); + private static final TensorType TENSOR_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2))); @@ -183,6 +189,24 @@ public void testFunction8() Map.of(2, Set.of(TENSOR_2_1_FLOAT32, TENSOR_2_FLOAT32))); } + @Test + public void testFunction9() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function9.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_1_2_FLOAT32))); + } + + @Test + public void testFunction10() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function10.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_4_FLOAT32))); + } + + @Test + public void testFunction11() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_function11.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_3_FLOAT32))); + } + @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function10.py b/com.ibm.wala.cast.python.test/data/tf2_test_function10.py new file mode 100644 index 000000000..f4b4c9d45 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function10.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant( + [ + [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]], + [[13, 14, 15, 16], [17, 18, 19, 20], [21, 22, 23, 24]], + ] +) +assert a.shape == (2, 3, 4) + +func(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function11.py b/com.ibm.wala.cast.python.test/data/tf2_test_function11.py new file mode 100644 index 000000000..34c35d2fd --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function11.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant( + [ + [[1, 2, 3], [5, 6, 7], [9, 10, 11]], + [[13, 14, 15], [17, 18, 19], [21, 22, 23]], + ] +) +assert a.shape == (2, 3, 3) + +func(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function9.py b/com.ibm.wala.cast.python.test/data/tf2_test_function9.py new file mode 100644 index 000000000..43c43b9e4 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function9.py @@ -0,0 +1,11 @@ +import tensorflow as tf + + +def func(t): + pass + + +a = tf.constant([[1.0, 3.0]]) +assert a.shape == (1, 2) + +func(a) From 288ded875ce93eb1546d306c5b92ee93fa89adc8 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 9 Sep 2025 13:27:29 -0400 Subject: [PATCH 103/253] Remove test file. Incorporated into other tests. --- test.py | 36 ------------------------------------ 1 file changed, 36 deletions(-) delete mode 100644 test.py diff --git a/test.py b/test.py deleted file mode 100644 index 029620c7b..000000000 --- a/test.py +++ /dev/null @@ -1,36 +0,0 @@ -import tensorflow as tf - -# Shape (2,) -a = tf.constant([1.0, 3.0]) -print("Shape (2,): ", a) -assert a.shape == (2,) - -# Shape (2, 1) -b = tf.constant([[1.0], [3.0]]) -print("Shape (2, 1): ", b) -assert b.shape == (2, 1) - -# Shape (1, 2) -c = tf.constant([[1.0, 3.0]]) -print("Shape (1, 2): ", c) -assert c.shape == (1, 2) - -# Shape (2, 3, 4): 2 blocks, each with 3 rows and 4 columns -d = tf.constant( - [ - [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]], - [[13, 14, 15, 16], [17, 18, 19, 20], [21, 22, 23, 24]], - ] -) -print("Shape (2, 3, 4): ", d) -assert d.shape == (2, 3, 4) - -# Shape (2, 3, 3): 2 blocks, each with 3 rows and 3 columns -e = tf.constant( - [ - [[1, 2, 3], [5, 6, 7], [9, 10, 11]], - [[13, 14, 15], [17, 18, 19], [21, 22, 23]], - ] -) -print("Shape (2, 3, 3): ", e) -assert e.shape == (2, 3, 3) From 911277e578fbf58e53975291f04992d42f84ff2a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 10:51:43 -0400 Subject: [PATCH 104/253] Rename. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index e4214adac..81eee4696 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -325,7 +325,7 @@ else if (valueIK instanceof AllocationSiteInNode) { * type literals. * @return A set of possible dtypes of the tensor returned by this generator. */ - protected EnumSet getDTypes( + protected EnumSet getDTypesFromShapeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -445,7 +445,7 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { if (pointsToSet == null || pointsToSet.isEmpty()) return getDefaultDTypes(builder); else // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. - return getDTypes(builder, pointsToSet); + return getDTypesFromShapeArgument(builder, pointsToSet); } /** From 09a479cf92576fe790812de172ff3c50c8873f58 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 11:04:54 -0400 Subject: [PATCH 105/253] Separate. --- .../python/ml/client/TensorGenerator.java | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 81eee4696..ab7583c87 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -457,11 +457,26 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { * @return A set of possible dtypes of the tensor returned by this generator. */ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { - EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); + return getDTypesOfValue(builder, valuePointsToSet); + } + + /** + * Returns the possible dtypes of the tensor returned by this generator. The dtype is inferred + * from the given points-to set. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param pointsToSet The points-to set of the value from which the dtype will be derived. + * @return A set of possible dtypes of the tensor returned by this generator. + */ + private EnumSet getDTypesOfValue( + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + EnumSet ret = EnumSet.noneOf(DType.class); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - for (InstanceKey valueIK : pointerAnalysis.getPointsToSet(valuePK)) + for (InstanceKey valueIK : valuePointsToSet) if (valueIK instanceof ConstantKey) { // It's a scalar value. ConstantKey constantKey = (ConstantKey) valueIK; Object value = constantKey.getValue(); From 74b0ef42f3ebd7c19a5c497a37e112ddac3d3e5e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 11:08:46 -0400 Subject: [PATCH 106/253] Use API. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ab7583c87..f72593ff0 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -262,7 +262,7 @@ private Set>> getShapesOfValue( for (InstanceKey valueIK : valuePointsToSet) if (valueIK instanceof ConstantKey) ret.add(emptyList()); // Scalar value. else if (valueIK instanceof AllocationSiteInNode) { - AllocationSiteInNode asin = (AllocationSiteInNode) valueIK; + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); if (reference.equals(list)) { From 6b098bded7370fbe73fd3c8547d42889b852d17a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 11:38:56 -0400 Subject: [PATCH 107/253] Add dtype inference. --- .../python/ml/client/TensorGenerator.java | 40 +++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index f72593ff0..5975ecb7d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -511,6 +511,46 @@ private EnumSet getDTypesOfValue( + value + "."); } else throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else if (valueIK instanceof AllocationSiteInNode) { + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); + TypeReference reference = asin.getConcreteType().getReference(); + + if (reference.equals(list)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + LOGGER.fine( + "The object catalog points-to set size is: " + objectCatalogPointsToSet.size() + "."); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + PythonTypes.Root, + findOrCreateAsciiAtom(fieldIndex.toString()), + PythonTypes.Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + LOGGER.fine("Found field: " + f); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + LOGGER.fine( + "Found pointer key for instance field: " + pointerKeyForInstanceField + "."); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); + + EnumSet dTypesOfField = getDTypesOfValue(builder, instanceFieldPointsToSet); + ret.addAll(dTypesOfField); + } + } else throw new IllegalStateException("Unknown type reference: " + reference + "."); } else // TODO: More cases. throw new IllegalStateException( From 13c7ec0aecbd61d964ca3b5289eb927e551925d5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 12:42:48 -0400 Subject: [PATCH 108/253] Update tests. --- .../python/ml/test/TestTensorflow2Model.java | 59 +++++++++++++++---- .../data/tf2_test_decorator3.py | 3 + .../data/tf2_test_function11.py | 1 + 3 files changed, 50 insertions(+), 13 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 614b9e74c..e54495620 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -80,12 +80,30 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_3_3_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_2_3_3_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_2_3_4_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); + private static final TensorType TENSOR_2_3_4_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); + private static final TensorType TENSOR_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2))); + private static final TensorType TENSOR_2_INT32 = + new TensorType(INT_32, asList(new NumericDim(2))); + + private static final TensorType TENSOR_3_INT32 = + new TensorType(INT_32, asList(new NumericDim(3))); + + private static final TensorType TENSOR_3_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3))); + + private static final TensorType TENSOR_4_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(4))); + private static final TensorType TENSOR_5_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(5))); @@ -198,13 +216,13 @@ public void testFunction9() @Test public void testFunction10() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_function10.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_4_FLOAT32))); + test("tf2_test_function10.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_4_INT32))); } @Test public void testFunction11() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_function11.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_3_FLOAT32))); + test("tf2_test_function11.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_3_INT32))); } @Test @@ -222,7 +240,7 @@ public void testDecorator2() @Test public void testDecorator3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_decorator3.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + test("tf2_test_decorator3.py", "returned", 1, 1, Map.of(2, Set.of(TENSOR_2_FLOAT32))); } @Test @@ -907,13 +925,13 @@ public void testAutoencoder4() @Test public void testSigmoid() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_sigmoid.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_sigmoid.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_4_FLOAT32))); } @Test public void testSigmoid2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_sigmoid2.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_sigmoid2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_4_FLOAT32))); } @Test @@ -1066,19 +1084,34 @@ public void testAdd22() @Test public void testAdd23() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add23.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add23.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_INT32), 3, Set.of(TENSOR_2_INT32))); } @Test public void testAdd24() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add24.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add24.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_INT32), 3, Set.of(TENSOR_2_INT32))); } @Test public void testAdd25() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add25.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add25.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_INT32), 3, Set.of(TENSOR_2_INT32))); } @Test @@ -1695,19 +1728,19 @@ public void testMultiGPUTraining2() @Test public void testReduceMean() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_reduce_mean.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_reduce_mean.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testReduceMean2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_reduce_mean.py", "g", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_reduce_mean.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testReduceMean3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_reduce_mean.py", "h", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_reduce_mean.py", "h", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1742,13 +1775,13 @@ public void testSparseSoftmaxCrossEntropyWithLogits() "f", 1, 1, - Map.of(2, Set.of(MNIST_INPUT))); + Map.of(2, Set.of(TENSOR_3_INT32))); } @Test public void testRelu() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_relu.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_relu.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_FLOAT32))); } @Test diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_decorator3.py b/com.ibm.wala.cast.python.test/data/tf2_test_decorator3.py index e65180b79..f7dff82fc 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_decorator3.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_decorator3.py @@ -9,3 +9,6 @@ def returned(a): a = tf.constant([1.0, 1.0]) b = returned(a) + +assert a.shape == (2,) +assert a.dtype == tf.float32 diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function11.py b/com.ibm.wala.cast.python.test/data/tf2_test_function11.py index 34c35d2fd..2e150de13 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_function11.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function11.py @@ -12,5 +12,6 @@ def func(t): ] ) assert a.shape == (2, 3, 3) +assert a.dtype == tf.int32 func(a) From 216bb9a01d128c2b7b6232d40ee4465538a7c89a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 11 Sep 2025 12:56:12 -0400 Subject: [PATCH 109/253] Add test for varying dtypes. --- .../cast/python/ml/test/TestTensorflow2Model.java | 11 +++++++++++ .../com/ibm/wala/cast/python/ml/client/Range.java | 4 ++++ .../data/tf2_test_decorator12.py | 14 ++++++++++++++ 3 files changed, 29 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_decorator12.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index e54495620..ace69b47f 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -291,6 +291,17 @@ public void testDecorator11() test("tf2_test_decorator11.py", "C.returned", 1, 1, Map.of(3, Set.of(TENSOR_5_INT32))); } + @Test + public void testDecorator12() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_decorator12.py", + "returned", + 1, + 1, + Map.of(2, Set.of(TENSOR_2_FLOAT32, TENSOR_2_INT32))); + } + @Test public void testDataset() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 91ffe871e..3c6647827 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -130,6 +130,10 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { .distinct() .collect(Collectors.toCollection(() -> EnumSet.noneOf(DType.class))); + // FIXME: We can't tell the difference here between varying dtypes in a single call and that of + // possible varying dtypes values from the points-to graph. Below, we are treating it as these + // values lie in a single call, but that may not be the case. + if (types.contains(DType.FLOAT64)) return EnumSet.of(DType.FLOAT64); else if (types.contains(DType.FLOAT32)) return EnumSet.of(DType.FLOAT32); else if (types.contains(DType.INT64)) return EnumSet.of(DType.INT64); diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_decorator12.py b/com.ibm.wala.cast.python.test/data/tf2_test_decorator12.py new file mode 100644 index 000000000..8d6329d8f --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_decorator12.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +@tf.function(input_signature=(tf.TensorSpec(shape=[None], dtype=tf.float32),)) +@tf.function(reduce_retracing=True) +def returned(a): + return a + + +a = tf.constant([1, 1.0]) +b = returned(a) + +assert a.shape == (2,) +assert a.dtype == tf.float32 From 515fa5ba6c45f3f7d2a992a271e2923ecf768109 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 12 Sep 2025 12:03:42 -0400 Subject: [PATCH 110/253] Add tests for https://github.com/wala/ML/issues/308. --- .../python/ml/test/TestTensorflow2Model.java | 31 +++++++++++++++++++ .../data/tf2_test_function12.py | 21 +++++++++++++ .../data/tf2_test_function13.py | 19 ++++++++++++ 3 files changed, 71 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function12.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_function13.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index ace69b47f..632fa03ea 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -74,6 +74,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_3_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2))); + private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); @@ -225,6 +228,34 @@ public void testFunction11() test("tf2_test_function11.py", "func", 1, 1, Map.of(2, Set.of(TENSOR_2_3_3_INT32))); } + /** Test https://github.com/wala/ML/issues/308. */ + @Test + public void testFunction12() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_function12.py", + "func", + 1, + 1, + Map.of(2, Set.of(TENSOR_2_1_FLOAT32, TENSOR_3_2_FLOAT32))); + } + + /** + * Test https://github.com/wala/ML/issues/308. + * + *

This one has lexical scoping. + */ + @Test + public void testFunction13() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_function13.py", + "func", + 1, + 1, + Map.of(2, Set.of(TENSOR_2_1_FLOAT32, TENSOR_3_2_FLOAT32))); + } + @Test public void testDecorator() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function12.py b/com.ibm.wala.cast.python.test/data/tf2_test_function12.py new file mode 100644 index 000000000..cf82dfd35 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function12.py @@ -0,0 +1,21 @@ +import tensorflow as tf +from random import random + + +def func(t): + pass + + +n = random() + +a = None + +if n > 0.5: + a = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]) + assert a.shape == (3, 2) +else: + a = tf.constant([[1.0], [3.0]]) + assert a.shape == (2, 1) + +assert a.shape == (3, 2) or a.shape == (2, 1) +func(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function13.py b/com.ibm.wala.cast.python.test/data/tf2_test_function13.py new file mode 100644 index 000000000..9149486d0 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function13.py @@ -0,0 +1,19 @@ +import tensorflow as tf +from random import random + + +def func(t): + pass + + +n = random() + +if n > 0.5: + a = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]) + assert a.shape == (3, 2) +else: + a = tf.constant([[1.0], [3.0]]) + assert a.shape == (2, 1) + +assert a.shape == (3, 2) or a.shape == (2, 1) +func(a) From 11e08ef39e09d726eed1f43b6b506ff7808d755c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 10:18:12 -0400 Subject: [PATCH 111/253] Make more general. --- .../source/com/ibm/wala/cast/python/ml/client/Ones.java | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index c6655d972..df3d1a263 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -38,17 +38,16 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { @Override protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { - throw new UnsupportedOperationException( - "Shapes for ones() are mandatory and must be provided explicitly."); + throw new UnsupportedOperationException("Shape is mandatory and must be provided explicitly."); } @Override protected int getValueNumberForShapeArgument() { - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; // The shape is in the first explicit argument. + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; } @Override protected int getValueNumberForDTypeArgument() { - return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; // The dtype is in the second explicit argument. + return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; } } From d04962d25f58a8e885313f5369c3fb1dc709a342 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 10:18:51 -0400 Subject: [PATCH 112/253] Add asserts. --- com.ibm.wala.cast.python.test/data/tf2_test_function10.py | 1 + com.ibm.wala.cast.python.test/data/tf2_test_model_call.py | 2 ++ 2 files changed, 3 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_function10.py b/com.ibm.wala.cast.python.test/data/tf2_test_function10.py index f4b4c9d45..51ce7319b 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_function10.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_function10.py @@ -12,5 +12,6 @@ def func(t): ] ) assert a.shape == (2, 3, 4) +assert a.dtype == tf.int32 func(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_model_call.py b/com.ibm.wala.cast.python.test/data/tf2_test_model_call.py index 5e5ffce77..3c7d88fea 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_model_call.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_model_call.py @@ -31,6 +31,8 @@ def __call__(self, x): input_data = tf.random.uniform([20, 28, 28]) +assert input_data.shape == (20, 28, 28) +assert input_data.dtype == tf.float32 model = SequentialModel() result = model(input_data) From 4a001f03bff1089bcb1934fdb0c015ec91dd4208 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 10:19:29 -0400 Subject: [PATCH 113/253] Add TODO. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 5975ecb7d..bf0b55b26 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -325,8 +325,10 @@ else if (valueIK instanceof AllocationSiteInNode) { * type literals. * @return A set of possible dtypes of the tensor returned by this generator. */ - protected EnumSet getDTypesFromShapeArgument( - PropagationCallGraphBuilder builder, Iterable pointsToSet) { + protected EnumSet + getDTypesFromShapeArgument( // TODO: Shouldn't this be "fromDTypeArgument" or simply + // "fromArgument"? + PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); From c48fb08310d3420f2c971f2336161e3c8c12bccf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 10:35:08 -0400 Subject: [PATCH 114/253] Move field reference to types class? --- .../cast/python/ml/client/TensorGenerator.java | 8 ++------ .../cast/python/ml/types/TensorFlowTypes.java | 15 +++++++++++++++ 2 files changed, 17 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index bf0b55b26..ae711b218 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -3,7 +3,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.D_TYPE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FLOAT_32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; @@ -377,11 +377,7 @@ else if (valueIK instanceof AllocationSiteInNode) { .getInstanceKeyForAllocation( importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - FieldReference float32 = - FieldReference.findOrCreate( - PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); - - IField float32Field = builder.getClassHierarchy().resolveField(float32); + IField float32Field = builder.getClassHierarchy().resolveField(FLOAT_32); PointerKey float32PK = pointerAnalysis diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index f0a392aa7..518c2002b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -1,6 +1,10 @@ package com.ibm.wala.cast.python.ml.types; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; + import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; @@ -40,5 +44,16 @@ public enum DType { public static final TypeReference D_TYPE = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/dtypes/DType")); + /** + * Represents the TensorFlow float32 data type. + * + * @see TensorFlow + * float32 DType. + */ + public static final FieldReference FLOAT_32 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + private TensorFlowTypes() {} } From 53f14cac313cf9b3a58d2def731fe4ddeb413dc1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 10:35:37 -0400 Subject: [PATCH 115/253] Remove author. --- .../com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java | 1 - 1 file changed, 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 518c2002b..0cbacd626 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -20,7 +20,6 @@ public class TensorFlowTypes extends PythonTypes { * * @see TensorFlow * dtypes. - * @author Raffi Khatchadourian */ public enum DType { FLOAT32, From 8e6534c7497a3bc0311c5a58e02da747ee2d690e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:25:53 -0400 Subject: [PATCH 116/253] Fix more copyrights. --- .../source/com/ibm/wala/cast/python/loader/Python2Loader.java | 4 ++-- .../com/ibm/wala/cast/python/parser/PythonFileParser.java | 4 ++-- .../com/ibm/wala/cast/python/parser/PythonModuleParser.java | 4 ++-- .../source/com/ibm/wala/cast/python/parser/PythonParser.java | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/loader/Python2Loader.java b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/loader/Python2Loader.java index 030449393..1ede27bcc 100644 --- a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/loader/Python2Loader.java +++ b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/loader/Python2Loader.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.loader; import com.ibm.wala.cast.ir.translator.ConstantFoldingRewriter; diff --git a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonFileParser.java b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonFileParser.java index 2af408f6a..95d452486 100644 --- a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonFileParser.java +++ b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonFileParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import com.ibm.wala.cast.python.util.Util; diff --git a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java index 801387ceb..e64d7cba5 100644 --- a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java +++ b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import com.ibm.wala.cast.python.util.Util; diff --git a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonParser.java b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonParser.java index c1efe32a6..37c644787 100644 --- a/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonParser.java +++ b/com.ibm.wala.cast.python.jython/source/com/ibm/wala/cast/python/parser/PythonParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import static com.ibm.wala.cast.python.util.Util.removeFileProtocolFromPath; From 9f6624a3b0235398cd2104f03ea2f3401315b96d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:26:26 -0400 Subject: [PATCH 117/253] Remove unnecessary cast. According to javac. --- .../source/com/ibm/wala/cast/python/driver/Driver.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java index 290dc9d55..0485ae8d0 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java @@ -83,8 +83,7 @@ protected T runit(PythonAnalysisEngine E, String... args) System.err.println(CG); - @SuppressWarnings("unchecked") - PointerAnalysis PA = (PointerAnalysis) builder.getPointerAnalysis(); + PointerAnalysis PA = builder.getPointerAnalysis(); CAstCallGraphUtil.AVOID_DUMP.set(false); CAstCallGraphUtil.dumpCG( From 2ebddc1e96752a73984558d219a654c6a79810f0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:26:58 -0400 Subject: [PATCH 118/253] Suppress warnings. --- .../wala/cast/python/ipa/callgraph/PytesttEntrypoint.java | 4 ++-- .../PythonClassMethodTrampolineTargetSelector.java | 2 +- .../ipa/callgraph/PythonConstructorTargetSelector.java | 2 +- .../PythonInstanceMethodTrampolineTargetSelector.java | 2 +- .../ipa/summaries/PythonComprehensionTrampolines.java | 2 +- .../ipa/summaries/PythonInstanceMethodTrampoline.java | 1 + .../com/ibm/wala/cast/python/ipa/summaries/PythonSuper.java | 2 +- .../ibm/wala/cast/python/ipa/summaries/TurtleSummary.java | 4 ++-- .../ibm/wala/cast/python/ir/PythonCAstToIRTranslator.java | 6 +++--- .../source/com/ibm/wala/cast/python/ir/PythonLanguage.java | 2 +- .../com/ibm/wala/cast/python/loader/PythonLoader.java | 1 + .../ibm/wala/cast/python/ssa/PythonInvokeInstruction.java | 2 +- 12 files changed, 16 insertions(+), 14 deletions(-) diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PytesttEntrypoint.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PytesttEntrypoint.java index 8742d69cb..1e2b08e46 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PytesttEntrypoint.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PytesttEntrypoint.java @@ -69,7 +69,7 @@ public SSAAbstractInvokeInstruction addCall(AbstractRootMethod m) { m.statements.add(insts.GlobalRead(m.statements.size(), cls, global)); idx = m.statements.size(); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) PythonInvokeInstruction invokeInstruction = new PythonInvokeInstruction( idx, @@ -118,7 +118,7 @@ public SSAAbstractInvokeInstruction addCall(AbstractRootMethod m) { int pc = m.statements.size(); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) PythonInvokeInstruction call = new PythonInvokeInstruction( pc, diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonClassMethodTrampolineTargetSelector.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonClassMethodTrampolineTargetSelector.java index e13f18d89..8f0528896 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonClassMethodTrampolineTargetSelector.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonClassMethodTrampolineTargetSelector.java @@ -70,7 +70,7 @@ protected boolean shouldProcess(CGNode caller, CallSiteReference site, IClass re && !trampoline; } - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) @Override protected void populate( PythonSummary x, int v, IClass receiver, PythonInvokeInstruction call, Logger logger) { diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonConstructorTargetSelector.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonConstructorTargetSelector.java index 05f61ab72..4ac0a15f1 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonConstructorTargetSelector.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonConstructorTargetSelector.java @@ -195,7 +195,7 @@ public IMethod getCalleeTarget(CGNode caller, CallSiteReference site, IClass rec int result = v++; int except = v++; CallSiteReference cref = new DynamicCallSiteReference(site.getDeclaredTarget(), pc); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keywordParams = new Pair[0]; ctor.addStatement( new PythonInvokeInstruction(2, result, except, cref, cps, keywordParams)); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonInstanceMethodTrampolineTargetSelector.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonInstanceMethodTrampolineTargetSelector.java index 34bbc2bc8..ac37da486 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonInstanceMethodTrampolineTargetSelector.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/callgraph/PythonInstanceMethodTrampolineTargetSelector.java @@ -105,7 +105,7 @@ public IMethod getCalleeTarget(CGNode caller, CallSiteReference site, IClass rec return super.getCalleeTarget(caller, site, receiver); } - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) @Override protected void populate( PythonSummary x, int v, IClass receiver, PythonInvokeInstruction call, Logger logger) { diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonComprehensionTrampolines.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonComprehensionTrampolines.java index 5015e77f5..402bd8b68 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonComprehensionTrampolines.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonComprehensionTrampolines.java @@ -75,7 +75,7 @@ public IMethod getCalleeTarget(CGNode caller, CallSiteReference site, IClass rec int s = idx++; int r = v++; CallSiteReference ss = new DynamicCallSiteReference(PythonTypes.CodeBody, s); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keywordParams = new Pair[0]; x.addStatement(new PythonInvokeInstruction(s, r, v++, ss, args, keywordParams)); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonInstanceMethodTrampoline.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonInstanceMethodTrampoline.java index 88edc5d89..806be1c7d 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonInstanceMethodTrampoline.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonInstanceMethodTrampoline.java @@ -42,6 +42,7 @@ public static TypeReference trampoline(TypeReference x) { private final IClass realClass; + @SuppressWarnings("this-escape") public PythonInstanceMethodTrampoline(TypeReference functionType, IClassHierarchy cha) { super(trampoline(functionType), cha); realClass = cha.lookupClass(functionType); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonSuper.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonSuper.java index df7153454..464c8355b 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonSuper.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/PythonSuper.java @@ -188,7 +188,7 @@ public IR getIR(CGNode node) { CallSiteReference ref = new DynamicCallSiteReference( AstMethodReference.fnReference(PythonTypes.superfun), pc++); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] pairs = new Pair[0]; Pair[] keywordParams = pairs; ctor.addStatement( diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/TurtleSummary.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/TurtleSummary.java index 4e7ad7bf4..551459eba 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/TurtleSummary.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ipa/summaries/TurtleSummary.java @@ -465,7 +465,7 @@ public TurtleSummary(IClassHierarchy cha) { .NewInstruction(0, 10, NewSiteReference.make(0, turtleClassRef))); x.addStatement( PythonLanguage.Python.instructionFactory().PutInstruction(1, 10, 10, turtleFieldRef)); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keywordParams = new Pair[0]; x.addStatement( new PythonInvokeInstruction( @@ -538,7 +538,7 @@ public static Entrypoint turtleEntryPoint(IMethod fun) { public SSAAbstractInvokeInstruction addCall(AbstractRootMethod m) { int paramValues[]; paramValues = new int[getNumberOfParameters()]; - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keywordParams = new Pair[0]; for (int j = 0; j < paramValues.length; j++) { AstInstructionFactory insts = PythonLanguage.Python.instructionFactory(); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonCAstToIRTranslator.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonCAstToIRTranslator.java index a173b2bd5..a7f2c1c5b 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonCAstToIRTranslator.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonCAstToIRTranslator.java @@ -382,7 +382,7 @@ protected void doMaterializeFunction( visit(a, context, this); int pos = context.cfg().getCurrentInstruction(); CallSiteReference site = new DynamicCallSiteReference(PythonTypes.CodeBody, pos); - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keywordParams = new Pair[0]; context .cfg() @@ -846,7 +846,7 @@ protected void doNewObject( TypeReference.findOrCreate(PythonTypes.pythonLoader, "L" + type)))); } - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) @Override protected void doCall( WalkContext context, @@ -1182,7 +1182,7 @@ protected boolean doVisit(CAstNode n, WalkContext context, CAstVisitor[] keywordParams = new Pair[0]; context .cfg() diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonLanguage.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonLanguage.java index 955c584d9..07695e52b 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonLanguage.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ir/PythonLanguage.java @@ -233,7 +233,7 @@ public AstGlobalWrite GlobalWrite(int iindex, FieldReference global, int rhs) { return new AstGlobalWrite(iindex, global, rhs); } - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) @Override public SSAAbstractInvokeInstruction InvokeInstruction( int iindex, diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/loader/PythonLoader.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/loader/PythonLoader.java index f08604833..9a5951b57 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/loader/PythonLoader.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/loader/PythonLoader.java @@ -53,6 +53,7 @@ import java.util.Set; import java.util.stream.Collectors; +@SuppressWarnings("this-escape") public abstract class PythonLoader extends CAstAbstractModuleLoader { @Override diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ssa/PythonInvokeInstruction.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ssa/PythonInvokeInstruction.java index e37a04b81..e5ebb5b2e 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ssa/PythonInvokeInstruction.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/ssa/PythonInvokeInstruction.java @@ -98,7 +98,7 @@ public int getReturnValue(int i) { return result; } - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) @Override public SSAInstruction copyForSSA(SSAInstructionFactory insts, int[] defs, int[] uses) { int nr = defs == null || defs.length == 0 ? result : defs[0]; From cfc19ada7a137d4114aa873cf5b4329807cc14d9 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:31:41 -0400 Subject: [PATCH 119/253] Enable all warnings and show deprecated usage. --- pom.xml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/pom.xml b/pom.xml index 7c4e5d340..059c9e7b5 100644 --- a/pom.xml +++ b/pom.xml @@ -134,10 +134,8 @@ maven-compiler-plugin ${maven.compiler.version} - - -Xlint:deprecation - -Xlint:unchecked - + true + -Xlint true From acf54caa1cf4036564d946d28af42722c35808b1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:38:21 -0400 Subject: [PATCH 120/253] Remove (seemingly) unused property. --- pom.xml | 1 - 1 file changed, 1 deletion(-) diff --git a/pom.xml b/pom.xml index 059c9e7b5..947c85fe4 100644 --- a/pom.xml +++ b/pom.xml @@ -24,7 +24,6 @@ - 0.0.1-SNAPSHOT 21 3.14.1 UTF-8 From 9b0a010a54750b9bf2cfbe2c7d407c96bc434072 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:49:44 -0400 Subject: [PATCH 121/253] Use the standard main method signature. --- .../source/com/ibm/wala/cast/python/driver/Driver.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java index 0485ae8d0..7c15cf2c2 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java @@ -110,7 +110,7 @@ protected T runit(PythonAnalysisEngine E, String... args) return E.performAnalysis((PropagationCallGraphBuilder) builder); } - public static void main(String... args) + public static void main(String[] args) throws IllegalArgumentException, IOException, CancelException { PythonAnalysisEngine E = From ab22b00dc1e23fbfb05f42eb83090a5bbe43b9ca Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:58:46 -0400 Subject: [PATCH 122/253] Remove redundant cast. --- .../com/ibm/wala/cast/python/jython3/test/TestAnnotations.java | 3 +-- .../python/test/TestPythonTurtlePandaMergeCallGraphShape.java | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java b/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java index b3db88f96..301d0cbe3 100644 --- a/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java +++ b/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java @@ -42,8 +42,7 @@ public void testAnnotation1() CAstCallGraphUtil.dumpCG( (SSAContextInterpreter) builder.getContextInterpreter(), builder.getPointerAnalysis(), CG); - @SuppressWarnings("unchecked") - PointerAnalysis ptr = (PointerAnalysis) bb.getPointerAnalysis(); + PointerAnalysis ptr = bb.getPointerAnalysis(); DataDependenceOptions data = DataDependenceOptions.NO_BASE_NO_HEAP_NO_EXCEPTIONS; ControlDependenceOptions control = ControlDependenceOptions.NONE; SDG sdg = new SDG(CG, ptr, new PythonModRef(), data, control); diff --git a/com.ibm.wala.cast.python.test/source/com/ibm/wala/cast/python/test/TestPythonTurtlePandaMergeCallGraphShape.java b/com.ibm.wala.cast.python.test/source/com/ibm/wala/cast/python/test/TestPythonTurtlePandaMergeCallGraphShape.java index ccf548385..12f3b6b92 100644 --- a/com.ibm.wala.cast.python.test/source/com/ibm/wala/cast/python/test/TestPythonTurtlePandaMergeCallGraphShape.java +++ b/com.ibm.wala.cast.python.test/source/com/ibm/wala/cast/python/test/TestPythonTurtlePandaMergeCallGraphShape.java @@ -58,6 +58,6 @@ public static void main(String[] args) CallGraph CG = builder.makeCallGraph(E.getOptions(), new NullProgressMonitor()); @SuppressWarnings("unused") - Graph analysis = E.performAnalysis((SSAPropagationCallGraphBuilder) builder); + Graph analysis = E.performAnalysis(builder); } } From e2d337b6a94c7a116e3b7da3177271e38c570fca Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 11:59:08 -0400 Subject: [PATCH 123/253] Suppress warnings. --- .../source/com/ibm/wala/cast/python/loader/PytestLoader.java | 2 +- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/PytestLoader.java b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/PytestLoader.java index f2f6bc8f9..62c30440b 100644 --- a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/PytestLoader.java +++ b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/PytestLoader.java @@ -122,7 +122,7 @@ private void handlePytest(WalkContext context, CAstEntity fn, int function) { testParams.put(fnName, testArgValues); int idx = 0; - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Pair[] keys = new Pair[testArgValues.size()]; Set> parameters = testArgValues.entrySet(); for (Entry p : parameters) { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ae711b218..1d7cd27b1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -103,7 +103,7 @@ protected Set>> getShapesFromShapeArgument( // We expect the object catalog to contain a list of integers. Each element in the array // corresponds to the set of possible dimensions for that index. - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Set>[] possibleDimensions = new Set[objectCatalogPointsToSet.size()]; for (InstanceKey catalogIK : objectCatalogPointsToSet) { @@ -184,7 +184,7 @@ protected Set>> getShapesFromShapeArgument( for (int i = 0; i < possibleDimensions.length; i++) for (Dimension iDim : possibleDimensions[i]) { - @SuppressWarnings("unchecked") + @SuppressWarnings({"unchecked", "rawtypes"}) Dimension[] dimensions = new Dimension[possibleDimensions.length]; dimensions[i] = iDim; From 013e458dc7f62a7414f14e333e99b931b6620b41 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 12:12:27 -0400 Subject: [PATCH 124/253] Upgrade to Java 25. --- com.ibm.wala.cast.python.jython/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- com.ibm.wala.cast.python.jython3.test/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- com.ibm.wala.cast.python.ml.test/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- com.ibm.wala.cast.python.ml/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- com.ibm.wala.cast.python.test/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- pom.xml | 2 +- 13 files changed, 27 insertions(+), 27 deletions(-) diff --git a/com.ibm.wala.cast.python.jython/.classpath b/com.ibm.wala.cast.python.jython/.classpath index bb0a294ff..8fabf3eb5 100644 --- a/com.ibm.wala.cast.python.jython/.classpath +++ b/com.ibm.wala.cast.python.jython/.classpath @@ -12,7 +12,7 @@ - + diff --git a/com.ibm.wala.cast.python.jython/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.jython/.settings/org.eclipse.jdt.core.prefs index acd44f461..a2023337a 100644 --- a/com.ibm.wala.cast.python.jython/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.jython/.settings/org.eclipse.jdt.core.prefs @@ -11,9 +11,9 @@ org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled org.eclipse.jdt.core.compiler.codegen.methodParameters=do not generate -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.debug.lineNumber=generate org.eclipse.jdt.core.compiler.debug.localVariable=generate org.eclipse.jdt.core.compiler.debug.sourceFile=generate @@ -24,6 +24,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python.jython3.test/.classpath b/com.ibm.wala.cast.python.jython3.test/.classpath index 31e723f69..b42c2ab11 100644 --- a/com.ibm.wala.cast.python.jython3.test/.classpath +++ b/com.ibm.wala.cast.python.jython3.test/.classpath @@ -1,6 +1,6 @@ - + diff --git a/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs index d8beab637..e07813d29 100644 --- a/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs @@ -10,8 +10,8 @@ org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled @@ -19,6 +19,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python.jython3/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.jython3/.settings/org.eclipse.jdt.core.prefs index acd44f461..a2023337a 100644 --- a/com.ibm.wala.cast.python.jython3/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.jython3/.settings/org.eclipse.jdt.core.prefs @@ -11,9 +11,9 @@ org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled org.eclipse.jdt.core.compiler.codegen.methodParameters=do not generate -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.debug.lineNumber=generate org.eclipse.jdt.core.compiler.debug.localVariable=generate org.eclipse.jdt.core.compiler.debug.sourceFile=generate @@ -24,6 +24,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python.ml.test/.classpath b/com.ibm.wala.cast.python.ml.test/.classpath index d406a6740..ede87dd0e 100644 --- a/com.ibm.wala.cast.python.ml.test/.classpath +++ b/com.ibm.wala.cast.python.ml.test/.classpath @@ -7,7 +7,7 @@ - + diff --git a/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.jdt.core.prefs index acd44f461..a2023337a 100644 --- a/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.jdt.core.prefs @@ -11,9 +11,9 @@ org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled org.eclipse.jdt.core.compiler.codegen.methodParameters=do not generate -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.debug.lineNumber=generate org.eclipse.jdt.core.compiler.debug.localVariable=generate org.eclipse.jdt.core.compiler.debug.sourceFile=generate @@ -24,6 +24,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python.ml/.classpath b/com.ibm.wala.cast.python.ml/.classpath index cf26568a6..788242daf 100644 --- a/com.ibm.wala.cast.python.ml/.classpath +++ b/com.ibm.wala.cast.python.ml/.classpath @@ -12,7 +12,7 @@ - + diff --git a/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs index a2f5d4304..db19bfd66 100644 --- a/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs @@ -9,13 +9,13 @@ org.eclipse.jdt.core.classpath.exclusionPatterns=enabled org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100 org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python.test/.classpath b/com.ibm.wala.cast.python.test/.classpath index 81f45b2ad..9337368a8 100644 --- a/com.ibm.wala.cast.python.test/.classpath +++ b/com.ibm.wala.cast.python.test/.classpath @@ -6,7 +6,7 @@ - + diff --git a/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs index d8beab637..e07813d29 100644 --- a/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs @@ -10,8 +10,8 @@ org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled @@ -19,6 +19,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/com.ibm.wala.cast.python/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python/.settings/org.eclipse.jdt.core.prefs index acd44f461..a2023337a 100644 --- a/com.ibm.wala.cast.python/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python/.settings/org.eclipse.jdt.core.prefs @@ -11,9 +11,9 @@ org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled org.eclipse.jdt.core.compiler.codegen.methodParameters=do not generate -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.debug.lineNumber=generate org.eclipse.jdt.core.compiler.debug.localVariable=generate org.eclipse.jdt.core.compiler.debug.sourceFile=generate @@ -24,6 +24,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error diff --git a/pom.xml b/pom.xml index 947c85fe4..3c6b388a7 100644 --- a/pom.xml +++ b/pom.xml @@ -24,7 +24,7 @@ - 21 + 25 3.14.1 UTF-8 b000 From e5f9a50f8e2b9869d54a0fae732d795eff1f07b0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 12:20:50 -0400 Subject: [PATCH 125/253] Fix more copyrights. --- .../source/com/ibm/wala/cast/python/loader/Python3Loader.java | 4 ++-- .../com/ibm/wala/cast/python/parser/PythonFileParser.java | 4 ++-- .../com/ibm/wala/cast/python/parser/PythonModuleParser.java | 4 ++-- .../source/com/ibm/wala/cast/python/parser/PythonParser.java | 4 ++-- .../ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java | 4 ++-- .../com/ibm/wala/cast/python/ml/analysis/TensorVariable.java | 4 ++-- .../source/com/ibm/wala/cast/python/ml/driver/Ariadne.java | 4 ++-- .../com/ibm/wala/cast/python/ml/driver/PythonDriver.java | 4 ++-- .../source/com/ibm/wala/cast/python/ml/types/TensorType.java | 4 ++-- .../main/java/com/ibm/wala/ide/pycharm/AnalysisAction.java | 4 ++-- .../main/java/com/ibm/wala/ide/pycharm/DocumentURLModule.java | 4 ++-- .../java/com/ibm/wala/ide/pycharm/PythonDocumentParser.java | 4 ++-- 12 files changed, 24 insertions(+), 24 deletions(-) diff --git a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/Python3Loader.java b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/Python3Loader.java index 91448ecf6..48267e7be 100644 --- a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/Python3Loader.java +++ b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/loader/Python3Loader.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.loader; import static java.util.logging.Level.WARNING; diff --git a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonFileParser.java b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonFileParser.java index 2af408f6a..95d452486 100644 --- a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonFileParser.java +++ b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonFileParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import com.ibm.wala.cast.python.util.Util; diff --git a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java index a712df858..75614daf4 100644 --- a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java +++ b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonModuleParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import static com.ibm.wala.cast.python.util.Util.MODULE_INITIALIZATION_ENTITY_NAME; diff --git a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonParser.java b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonParser.java index 5e8a26b88..8c22673b4 100644 --- a/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonParser.java +++ b/com.ibm.wala.cast.python.jython3/source/com/ibm/wala/cast/python/parser/PythonParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.parser; import static com.ibm.wala.cast.python.util.Util.CLASS_METHOD_ANNOTATION_NAME; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java index bc748c1b1..ce6437ef7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.ml.analysis; import com.ibm.wala.cast.loader.AstMethod; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorVariable.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorVariable.java index c7613afdf..2477a5df1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorVariable.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorVariable.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.ml.analysis; import com.google.gson.Gson; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/Ariadne.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/Ariadne.java index c4e598c65..ebdb6742b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/Ariadne.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/Ariadne.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials @@ -8,7 +8,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.ml.driver; import com.ibm.wala.cast.lsp.Util; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/PythonDriver.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/PythonDriver.java index 9a91cfc75..c16e0e8c0 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/PythonDriver.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/driver/PythonDriver.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials @@ -8,7 +8,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.ml.driver; import com.ibm.wala.cast.loader.AstMethod; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java index 71be5c35f..9fa896f1b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ + */ package com.ibm.wala.cast.python.ml.types; import com.google.gson.Gson; diff --git a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/AnalysisAction.java b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/AnalysisAction.java index d1f5992ff..21fb738f3 100644 --- a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/AnalysisAction.java +++ b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/AnalysisAction.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ +*/ package com.ibm.wala.ide.pycharm; import java.io.IOException; diff --git a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/DocumentURLModule.java b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/DocumentURLModule.java index 241bf115b..affcf3df2 100644 --- a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/DocumentURLModule.java +++ b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/DocumentURLModule.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ +*/ package com.ibm.wala.ide.pycharm; import java.io.Reader; diff --git a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/PythonDocumentParser.java b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/PythonDocumentParser.java index 45f29331c..58c9d9784 100644 --- a/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/PythonDocumentParser.java +++ b/com.ibm.wala.ide.pycharm/src/main/java/com/ibm/wala/ide/pycharm/PythonDocumentParser.java @@ -1,4 +1,4 @@ -/****************************************************************************** +/* * Copyright (c) 2018 IBM Corporation. * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 @@ -7,7 +7,7 @@ * * Contributors: * IBM Corporation - initial API and implementation - *****************************************************************************/ +*/ package com.ibm.wala.ide.pycharm; import java.io.IOException; From de0b88fd96701cb61502d38f38b605eb34f305c5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 12:31:26 -0400 Subject: [PATCH 126/253] Use Java 25 on the CI. --- .github/workflows/continuous-integration.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/continuous-integration.yml b/.github/workflows/continuous-integration.yml index ee71955f4..1f0353c50 100644 --- a/.github/workflows/continuous-integration.yml +++ b/.github/workflows/continuous-integration.yml @@ -14,10 +14,10 @@ jobs: uses: actions/checkout@v4 with: submodules: 'recursive' - - name: Set up JDK 21 - uses: actions/setup-java@v4 + - name: Set up JDK 25 + uses: actions/setup-java@v5 with: - java-version: '21' + java-version: '25' distribution: 'temurin' cache: maven - name: Install Python. From d380ed103f93e66bb4451b308794b78a030c41d1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 12:32:22 -0400 Subject: [PATCH 127/253] Add back casts. Appease the Eclipse JDT compiler. --- .../com/ibm/wala/cast/python/jython3/test/TestAnnotations.java | 3 ++- .../source/com/ibm/wala/cast/python/driver/Driver.java | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java b/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java index 301d0cbe3..186611279 100644 --- a/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java +++ b/com.ibm.wala.cast.python.jython3.test/test-source/com/ibm/wala/cast/python/jython3/test/TestAnnotations.java @@ -42,7 +42,8 @@ public void testAnnotation1() CAstCallGraphUtil.dumpCG( (SSAContextInterpreter) builder.getContextInterpreter(), builder.getPointerAnalysis(), CG); - PointerAnalysis ptr = bb.getPointerAnalysis(); + @SuppressWarnings({"unchecked", "cast"}) + PointerAnalysis ptr = (PointerAnalysis) bb.getPointerAnalysis(); DataDependenceOptions data = DataDependenceOptions.NO_BASE_NO_HEAP_NO_EXCEPTIONS; ControlDependenceOptions control = ControlDependenceOptions.NONE; SDG sdg = new SDG(CG, ptr, new PythonModRef(), data, control); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java index 7c15cf2c2..c58ce4f18 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/driver/Driver.java @@ -83,7 +83,8 @@ protected T runit(PythonAnalysisEngine E, String... args) System.err.println(CG); - PointerAnalysis PA = builder.getPointerAnalysis(); + @SuppressWarnings({"unchecked", "cast"}) + PointerAnalysis PA = (PointerAnalysis) builder.getPointerAnalysis(); CAstCallGraphUtil.AVOID_DUMP.set(false); CAstCallGraphUtil.dumpCG( From 6c9f6459ce9febcb5db177ba60d63f683337b7ca Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 12:35:20 -0400 Subject: [PATCH 128/253] No periods. --- .github/workflows/continuous-integration.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/continuous-integration.yml b/.github/workflows/continuous-integration.yml index 1f0353c50..d7f41c065 100644 --- a/.github/workflows/continuous-integration.yml +++ b/.github/workflows/continuous-integration.yml @@ -20,16 +20,16 @@ jobs: java-version: '25' distribution: 'temurin' cache: maven - - name: Install Python. + - name: Install Python uses: actions/setup-python@v5 with: python-version: '3.10' cache: 'pip' - - name: Install Python dependencies. + - name: Install Python dependencies run: pip install -r requirements.txt - - name: Check formatting with spotless. + - name: Check formatting with spotless run: mvn spotless:check -B - - name: Check formatting with Black. + - name: Check formatting with Black run: black --fast --check --extend-exclude IDE --extend-exclude jython3 . - name: Install Jython3. run: | @@ -40,7 +40,7 @@ jobs: popd popd shell: bash - - name: Install IDE. + - name: Install IDE run: | pushd IDE/com.ibm.wala.cast.lsp mvn install -B -q -DskipTests From 49fddfdf55673d559033f12adb123d7c751ed3a7 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 15 Sep 2025 10:00:59 +0000 Subject: [PATCH 129/253] Bump org.apache.maven.plugins:maven-shade-plugin from 3.6.0 to 3.6.1 Bumps [org.apache.maven.plugins:maven-shade-plugin](https://github.com/apache/maven-shade-plugin) from 3.6.0 to 3.6.1. - [Release notes](https://github.com/apache/maven-shade-plugin/releases) - [Commits](https://github.com/apache/maven-shade-plugin/compare/maven-shade-plugin-3.6.0...v3.6.1) --- updated-dependencies: - dependency-name: org.apache.maven.plugins:maven-shade-plugin dependency-version: 3.6.1 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] --- com.ibm.wala.cast.python.ml/pom.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/pom.xml b/com.ibm.wala.cast.python.ml/pom.xml index 2cea7bb69..2fd17995d 100644 --- a/com.ibm.wala.cast.python.ml/pom.xml +++ b/com.ibm.wala.cast.python.ml/pom.xml @@ -66,7 +66,7 @@ org.apache.maven.plugins maven-shade-plugin - 3.6.0 + 3.6.1 From e5f4a1da36617f0d8ffcde9ec9a26ebbee86b017 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 14:05:45 -0400 Subject: [PATCH 130/253] More metadata for Java 25. --- com.ibm.wala.cast.python.jython.test/META-INF/MANIFEST.MF | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 2 +- com.ibm.wala.cast.python.jython3.test/META-INF/MANIFEST.MF | 2 +- com.ibm.wala.cast.python.jython3/META-INF/MANIFEST.MF | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 2 +- com.ibm.wala.cast.python.test/META-INF/MANIFEST.MF | 2 +- com.ibm.wala.cast.python/META-INF/MANIFEST.MF | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/com.ibm.wala.cast.python.jython.test/META-INF/MANIFEST.MF b/com.ibm.wala.cast.python.jython.test/META-INF/MANIFEST.MF index e46863c59..be44da205 100644 --- a/com.ibm.wala.cast.python.jython.test/META-INF/MANIFEST.MF +++ b/com.ibm.wala.cast.python.jython.test/META-INF/MANIFEST.MF @@ -5,7 +5,7 @@ Bundle-SymbolicName: com.ibm.wala.cast.python.test Bundle-Version: 1.0.0.qualifier Export-Package: com.ibm.wala.cast.python.jython.test Bundle-Vendor: IBM -Bundle-RequiredExecutionEnvironment: JavaSE-21 +Bundle-RequiredExecutionEnvironment: JavaSE-25 Require-Bundle: com.ibm.wala.cast.python;bundle-version="0.0.1", org.junit;bundle-version="4.12.0" Automatic-Module-Name: com.ibm.wala.cast.python.test diff --git a/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs index e07813d29..635a62fd9 100644 --- a/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.jython3.test/.settings/org.eclipse.jdt.core.prefs @@ -17,7 +17,7 @@ org.eclipse.jdt.core.compiler.problem.assertIdentifier=error org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning -org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore +org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore diff --git a/com.ibm.wala.cast.python.jython3.test/META-INF/MANIFEST.MF b/com.ibm.wala.cast.python.jython3.test/META-INF/MANIFEST.MF index fc0ff7088..5926972c3 100644 --- a/com.ibm.wala.cast.python.jython3.test/META-INF/MANIFEST.MF +++ b/com.ibm.wala.cast.python.jython3.test/META-INF/MANIFEST.MF @@ -5,7 +5,7 @@ Bundle-SymbolicName: com.ibm.wala.cast.python.test Bundle-Version: 1.0.0.qualifier Export-Package: com.ibm.wala.cast.python.jython3.test Bundle-Vendor: IBM -Bundle-RequiredExecutionEnvironment: JavaSE-21 +Bundle-RequiredExecutionEnvironment: JavaSE-25 Require-Bundle: com.ibm.wala.cast.python;bundle-version="0.0.1", org.junit;bundle-version="4.12.0" Automatic-Module-Name: com.ibm.wala.cast.python.test diff --git a/com.ibm.wala.cast.python.jython3/META-INF/MANIFEST.MF b/com.ibm.wala.cast.python.jython3/META-INF/MANIFEST.MF index 3c8e234cd..8711f5db0 100644 --- a/com.ibm.wala.cast.python.jython3/META-INF/MANIFEST.MF +++ b/com.ibm.wala.cast.python.jython3/META-INF/MANIFEST.MF @@ -10,5 +10,5 @@ Export-Package: com.ibm.wala.cast.python.client, com.ibm.wala.cast.python.util, org.python.antlr Bundle-Vendor: IBM -Bundle-RequiredExecutionEnvironment: JavaSE-21 +Bundle-RequiredExecutionEnvironment: JavaSE-25 Automatic-Module-Name: com.ibm.wala.cast.python diff --git a/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs index e07813d29..635a62fd9 100644 --- a/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.test/.settings/org.eclipse.jdt.core.prefs @@ -17,7 +17,7 @@ org.eclipse.jdt.core.compiler.problem.assertIdentifier=error org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning -org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore +org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning org.eclipse.jdt.core.compiler.release=enabled org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore diff --git a/com.ibm.wala.cast.python.test/META-INF/MANIFEST.MF b/com.ibm.wala.cast.python.test/META-INF/MANIFEST.MF index ff4c3c26d..fffda30c5 100644 --- a/com.ibm.wala.cast.python.test/META-INF/MANIFEST.MF +++ b/com.ibm.wala.cast.python.test/META-INF/MANIFEST.MF @@ -4,6 +4,6 @@ Bundle-Name: WALA CAst Python Tests Bundle-SymbolicName: com.ibm.wala.cast.python.test Bundle-Version: 1.0.0.qualifier Bundle-Vendor: IBM -Bundle-RequiredExecutionEnvironment: JavaSE-21 +Bundle-RequiredExecutionEnvironment: JavaSE-25 Automatic-Module-Name: com.ibm.wala.cast.python.test Export-Package: com.ibm.wala.cast.python.test diff --git a/com.ibm.wala.cast.python/META-INF/MANIFEST.MF b/com.ibm.wala.cast.python/META-INF/MANIFEST.MF index e460d3b6e..13525266d 100644 --- a/com.ibm.wala.cast.python/META-INF/MANIFEST.MF +++ b/com.ibm.wala.cast.python/META-INF/MANIFEST.MF @@ -17,5 +17,5 @@ Export-Package: com.ibm.wala.cast.python.analysis.ap, com.ibm.wala.cast.python.types, com.ibm.wala.cast.python.util Bundle-Vendor: IBM -Bundle-RequiredExecutionEnvironment: JavaSE-21 +Bundle-RequiredExecutionEnvironment: JavaSE-25 Automatic-Module-Name: com.ibm.wala.cast.python From 80d6ed4c28b1037263ca1e4afcbd71c1ad770a0d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 14:35:00 -0400 Subject: [PATCH 131/253] Generalize dtype literal lookup and comparison. --- .../python/ml/client/TensorGenerator.java | 41 ++++++++++--------- .../cast/python/ml/types/TensorFlowTypes.java | 5 +++ 2 files changed, 26 insertions(+), 20 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 1d7cd27b1..0617bc423 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -3,7 +3,6 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FLOAT_32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; @@ -377,25 +376,27 @@ else if (valueIK instanceof AllocationSiteInNode) { .getInstanceKeyForAllocation( importNode.get(), NewSiteReference.make(0, TENSORFLOW)); - IField float32Field = builder.getClassHierarchy().resolveField(FLOAT_32); - - PointerKey float32PK = - pointerAnalysis - .getHeapModel() - .getPointerKeyForInstanceField(tensorFlowIK, float32Field); - - for (InstanceKey float32IK : pointerAnalysis.getPointsToSet(float32PK)) - if (float32IK.equals(instanceKey)) { - ret.add(FLOAT32); - LOGGER.info( - "Found dtype: " - + FLOAT32 - + " for source: " - + source - + " from dType: " - + instanceKey - + "."); - } else throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); + // Check dtype literals. + TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE.forEach( + (fieldRef, dtype) -> { + IField field = builder.getClassHierarchy().resolveField(fieldRef); + + PointerKey pk = + pointerAnalysis.getHeapModel().getPointerKeyForInstanceField(tensorFlowIK, field); + + for (InstanceKey ik : pointerAnalysis.getPointsToSet(pk)) + if (ik.equals(instanceKey)) { + ret.add(dtype); + LOGGER.info( + "Found dtype: " + + dtype + + " for source: " + + source + + " from dType: " + + instanceKey + + "."); + } else throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); + }); } else throw new IllegalStateException( "Expected a " diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 0cbacd626..e838088c8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -7,6 +7,7 @@ import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; +import java.util.Map; /** * Types found in the TensorFlow library. @@ -54,5 +55,9 @@ public enum DType { FieldReference.findOrCreate( PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + /** A mapping from a field reference to its associated {@link DType}, if any. */ + public static final Map FIELD_REFERENCE_TO_DTYPE = + Map.of(FLOAT_32, FLOAT32); + private TensorFlowTypes() {} } From 9cc1b80625add385c46f0b26395d779f0c33f342 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 15:02:20 -0400 Subject: [PATCH 132/253] Fix exception. It should be outside the loop. --- .../python/ml/client/TensorGenerator.java | 48 +++++++++++-------- 1 file changed, 28 insertions(+), 20 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 0617bc423..97a6f2133 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -3,6 +3,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; @@ -41,6 +42,7 @@ import java.util.ArrayList; import java.util.EnumSet; import java.util.List; +import java.util.Map.Entry; import java.util.Optional; import java.util.Set; import java.util.logging.Logger; @@ -377,26 +379,32 @@ else if (valueIK instanceof AllocationSiteInNode) { importNode.get(), NewSiteReference.make(0, TENSORFLOW)); // Check dtype literals. - TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE.forEach( - (fieldRef, dtype) -> { - IField field = builder.getClassHierarchy().resolveField(fieldRef); - - PointerKey pk = - pointerAnalysis.getHeapModel().getPointerKeyForInstanceField(tensorFlowIK, field); - - for (InstanceKey ik : pointerAnalysis.getPointsToSet(pk)) - if (ik.equals(instanceKey)) { - ret.add(dtype); - LOGGER.info( - "Found dtype: " - + dtype - + " for source: " - + source - + " from dType: " - + instanceKey - + "."); - } else throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); - }); + boolean found = false; + + for (Entry entry : FIELD_REFERENCE_TO_DTYPE.entrySet()) { + FieldReference fieldRef = entry.getKey(); + DType dtype = entry.getValue(); + IField field = builder.getClassHierarchy().resolveField(fieldRef); + + PointerKey pk = + pointerAnalysis.getHeapModel().getPointerKeyForInstanceField(tensorFlowIK, field); + + for (InstanceKey ik : pointerAnalysis.getPointsToSet(pk)) + if (ik.equals(instanceKey)) { + ret.add(dtype); + LOGGER.info( + "Found dtype: " + + dtype + + " for source: " + + source + + " from dType: " + + instanceKey + + "."); + found = true; + } + } + + if (!found) throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); } else throw new IllegalStateException( "Expected a " From 6cdaed075df7d453decb2c3a4f9531089f6c76c3 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 15:41:40 -0400 Subject: [PATCH 133/253] Fix class name. --- com.ibm.wala.cast.python.ml/data/tensorflow.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index 36e3702f6..6caa43b20 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -326,7 +326,7 @@ - + From ddf134cc08f5f7f7bdaa35a5bf62e6a1e0fabcbe Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 15:43:58 -0400 Subject: [PATCH 134/253] No period. --- .github/workflows/continuous-integration.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/continuous-integration.yml b/.github/workflows/continuous-integration.yml index d7f41c065..8e1c2c7d5 100644 --- a/.github/workflows/continuous-integration.yml +++ b/.github/workflows/continuous-integration.yml @@ -31,7 +31,7 @@ jobs: run: mvn spotless:check -B - name: Check formatting with Black run: black --fast --check --extend-exclude IDE --extend-exclude jython3 . - - name: Install Jython3. + - name: Install Jython3 run: | pushd jython3 ant From eebaa5f463a0f1497011cf716a677d133e9e85bc Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 15:45:08 -0400 Subject: [PATCH 135/253] Capitalize. --- .github/workflows/continuous-integration.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/continuous-integration.yml b/.github/workflows/continuous-integration.yml index 8e1c2c7d5..f67f94084 100644 --- a/.github/workflows/continuous-integration.yml +++ b/.github/workflows/continuous-integration.yml @@ -27,7 +27,7 @@ jobs: cache: 'pip' - name: Install Python dependencies run: pip install -r requirements.txt - - name: Check formatting with spotless + - name: Check formatting with Spotless run: mvn spotless:check -B - name: Check formatting with Black run: black --fast --check --extend-exclude IDE --extend-exclude jython3 . From 31e9949c493c2be2bb7922511a87beb3af669621 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 16:11:35 -0400 Subject: [PATCH 136/253] Handle `tf.random.uniform`. --- .../python/ml/test/TestTensorflow2Model.java | 79 ++++++++++++++++--- .../data/tensorflow.xml | 4 + .../ml/client/TensorGeneratorFactory.java | 8 ++ .../wala/cast/python/ml/client/Uniform.java | 25 ++++++ .../cast/python/ml/types/TensorFlowTypes.java | 14 +++- .../data/tf2_test_model_call6.py | 38 +++++++++ 6 files changed, 158 insertions(+), 10 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_model_call6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 632fa03ea..00b6c79e7 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -92,6 +92,12 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_3_4_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); + private static final TensorType TENSOR_20_28_28_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(20), new NumericDim(28), new NumericDim(28))); + + private static final TensorType TENSOR_20_28_28_INT32 = + new TensorType(INT_32, asList(new NumericDim(20), new NumericDim(28), new NumericDim(28))); + private static final TensorType TENSOR_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2))); @@ -762,19 +768,33 @@ public void testTensorList5() public void testModelCall() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test( - "tf2_test_model_call.py", "SequentialModel.__call__", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + "tf2_test_model_call.py", + "SequentialModel.__call__", + 1, + 1, + Map.of(3, Set.of(TENSOR_20_28_28_FLOAT32))); } @Test public void testModelCall2() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_model_call2.py", "SequentialModel.call", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test( + "tf2_test_model_call2.py", + "SequentialModel.call", + 1, + 1, + Map.of(3, Set.of(TENSOR_20_28_28_FLOAT32))); } @Test public void testModelCall3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_model_call3.py", "SequentialModel.call", 1, 1, Map.of(3, Set.of(MNIST_INPUT))); + test( + "tf2_test_model_call3.py", + "SequentialModel.call", + 1, + 1, + Map.of(3, Set.of(TENSOR_20_28_28_FLOAT32))); } @Test @@ -785,7 +805,7 @@ public void testModelCall4() "SequentialModel.__call__", 1, 1, - Map.of(3, Set.of(MNIST_INPUT))); + Map.of(3, Set.of(TENSOR_20_28_28_FLOAT32))); } /** @@ -823,6 +843,22 @@ public void testModelCall5() Map.of(3, Set.of(MNIST_INPUT))); } + /** + * Test https://github.com/wala/ML/issues/267. + * + *

Explicit dtype. + */ + @Test + public void testModelCall6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_model_call6.py", + "SequentialModel.__call__", + 1, + 1, + Map.of(3, Set.of(TENSOR_20_28_28_INT32))); + } + @Test public void testModelAttributes() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { @@ -1048,31 +1084,56 @@ public void testAdd9() @Test public void testAdd10() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add10.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add10.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd11() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add11.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add11.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd12() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add12.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add12.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd13() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add13.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add13.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd14() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add14.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add14.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index 6caa43b20..bac064e68 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -225,6 +225,10 @@ + + + + diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 10870338c..0f395c168 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -36,6 +36,13 @@ public class TensorGeneratorFactory { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/range")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/random/uniform. */ + private static final MethodReference UNIFORM = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/uniform")), + AstMethodReference.fnSelector); + public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -49,6 +56,7 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source, node); else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); + else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java new file mode 100644 index 000000000..99175fb73 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -0,0 +1,25 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; + +/** + * A generator for tensors created by the `uniform()` function in TensorFlow. + * + * @see TensorFlow uniform() + * API. + * @author Raffi Khatchadourian + */ +public class Uniform extends Ones { + + private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 5; + + public Uniform(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected int getValueNumberForDTypeArgument() { + return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index e838088c8..437f3374a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.types; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import com.ibm.wala.cast.python.types.PythonTypes; @@ -55,9 +56,20 @@ public enum DType { FieldReference.findOrCreate( PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + /** + * Represents the TensorFlow int32 data type. + * + * @see TensorFlow + * int32 DType. + */ + public static final FieldReference INT_32 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(INT32.name().toLowerCase()), D_TYPE); + /** A mapping from a field reference to its associated {@link DType}, if any. */ public static final Map FIELD_REFERENCE_TO_DTYPE = - Map.of(FLOAT_32, FLOAT32); + Map.of(FLOAT_32, FLOAT32, INT_32, INT32); private TensorFlowTypes() {} } diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_model_call6.py b/com.ibm.wala.cast.python.test/data/tf2_test_model_call6.py new file mode 100644 index 000000000..36ece641b --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_model_call6.py @@ -0,0 +1,38 @@ +import tensorflow as tf + +# Create an override model to classify pictures + + +class SequentialModel(tf.keras.Model): + def __init__(self, **kwargs): + super(SequentialModel, self).__init__(**kwargs) + + self.flatten = tf.keras.layers.Flatten(input_shape=(28, 28)) + + # Add a lot of small layers + num_layers = 100 + self.my_layers = [ + tf.keras.layers.Dense(64, activation="relu") for n in range(num_layers) + ] + + self.dropout = tf.keras.layers.Dropout(0.2) + self.dense_2 = tf.keras.layers.Dense(10) + + def __call__(self, x): + x = self.flatten(x) + + for layer in self.my_layers: + x = layer(x) + + x = self.dropout(x) + x = self.dense_2(x) + + return x + + +input_data = tf.random.uniform([20, 28, 28], 0, 10, tf.int32) +assert input_data.shape == (20, 28, 28) +assert input_data.dtype == tf.int32 + +model = SequentialModel() +result = model(input_data) From fdb8738d3834c8724a5539ba2257614e4a45b739 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 16:52:08 -0400 Subject: [PATCH 137/253] Fix method name. --- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 97a6f2133..da7af5762 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -326,10 +326,7 @@ else if (valueIK instanceof AllocationSiteInNode) { * type literals. * @return A set of possible dtypes of the tensor returned by this generator. */ - protected EnumSet - getDTypesFromShapeArgument( // TODO: Shouldn't this be "fromDTypeArgument" or simply - // "fromArgument"? - PropagationCallGraphBuilder builder, Iterable pointsToSet) { + protected EnumSet getDTypesFromDTypeArgument(PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -452,7 +449,7 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { if (pointsToSet == null || pointsToSet.isEmpty()) return getDefaultDTypes(builder); else // The dtype points-to set is non-empty, meaning that the dtype was explicitly set. - return getDTypesFromShapeArgument(builder, pointsToSet); + return getDTypesFromDTypeArgument(builder, pointsToSet); } /** From 9e61fc1a07b0ab139b6c4b66b44f91492011b86e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 17:00:21 -0400 Subject: [PATCH 138/253] Remove unused constants. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 6 ------ 1 file changed, 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 31463b45d..acc44760e 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -80,15 +80,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); - private static final TensorType TENSOR_2_3_3_FLOAT32 = - new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); - private static final TensorType TENSOR_2_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); - private static final TensorType TENSOR_2_3_4_FLOAT32 = - new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); - private static final TensorType TENSOR_2_3_4_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); From c1bfcc66d6c437f66fd17a25eb2f76479dab2055 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 16 Oct 2025 17:01:36 -0400 Subject: [PATCH 139/253] Metadata. --- .../.settings/org.eclipse.jdt.core.prefs | 108 ++++++++++++++++++ 1 file changed, 108 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs index db19bfd66..58cc75197 100644 --- a/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.ml/.settings/org.eclipse.jdt.core.prefs @@ -1,4 +1,5 @@ eclipse.preferences.version=1 +org.eclipse.jdt.core.builder.annotationPath.allLocations=disabled org.eclipse.jdt.core.builder.cleanOutputFolder=clean org.eclipse.jdt.core.builder.duplicateResourceTask=warning org.eclipse.jdt.core.builder.invalidClasspath=abort @@ -9,12 +10,119 @@ org.eclipse.jdt.core.classpath.exclusionPatterns=enabled org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error +org.eclipse.jdt.core.compiler.annotation.inheritNullAnnotations=disabled +org.eclipse.jdt.core.compiler.annotation.missingNonNullByDefaultAnnotation=ignore +org.eclipse.jdt.core.compiler.annotation.nonnull=org.eclipse.jdt.annotation.NonNull +org.eclipse.jdt.core.compiler.annotation.nonnull.secondary= +org.eclipse.jdt.core.compiler.annotation.nonnullbydefault=org.eclipse.jdt.annotation.NonNullByDefault +org.eclipse.jdt.core.compiler.annotation.nonnullbydefault.secondary= +org.eclipse.jdt.core.compiler.annotation.notowning=org.eclipse.jdt.annotation.NotOwning +org.eclipse.jdt.core.compiler.annotation.nullable=org.eclipse.jdt.annotation.Nullable +org.eclipse.jdt.core.compiler.annotation.nullable.secondary= +org.eclipse.jdt.core.compiler.annotation.nullanalysis=disabled +org.eclipse.jdt.core.compiler.annotation.owning=org.eclipse.jdt.annotation.Owning +org.eclipse.jdt.core.compiler.annotation.resourceanalysis=disabled org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100 +org.eclipse.jdt.core.compiler.problem.APILeak=warning +org.eclipse.jdt.core.compiler.problem.annotatedTypeArgumentToUnannotated=info +org.eclipse.jdt.core.compiler.problem.annotationSuperInterface=warning +org.eclipse.jdt.core.compiler.problem.autoboxing=ignore +org.eclipse.jdt.core.compiler.problem.comparingIdentical=warning +org.eclipse.jdt.core.compiler.problem.deadCode=warning +org.eclipse.jdt.core.compiler.problem.deprecation=warning +org.eclipse.jdt.core.compiler.problem.deprecationInDeprecatedCode=disabled +org.eclipse.jdt.core.compiler.problem.deprecationWhenOverridingDeprecatedMethod=disabled +org.eclipse.jdt.core.compiler.problem.discouragedReference=warning +org.eclipse.jdt.core.compiler.problem.emptyStatement=ignore org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled +org.eclipse.jdt.core.compiler.problem.explicitlyClosedAutoCloseable=ignore +org.eclipse.jdt.core.compiler.problem.fallthroughCase=ignore +org.eclipse.jdt.core.compiler.problem.fatalOptionalError=disabled +org.eclipse.jdt.core.compiler.problem.fieldHiding=ignore +org.eclipse.jdt.core.compiler.problem.finalParameterBound=warning +org.eclipse.jdt.core.compiler.problem.finallyBlockNotCompletingNormally=warning org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning +org.eclipse.jdt.core.compiler.problem.hiddenCatchBlock=warning +org.eclipse.jdt.core.compiler.problem.includeNullInfoFromAsserts=disabled +org.eclipse.jdt.core.compiler.problem.incompatibleNonInheritedInterfaceMethod=warning +org.eclipse.jdt.core.compiler.problem.incompatibleOwningContract=warning +org.eclipse.jdt.core.compiler.problem.incompleteEnumSwitch=warning +org.eclipse.jdt.core.compiler.problem.indirectStaticAccess=ignore +org.eclipse.jdt.core.compiler.problem.insufficientResourceAnalysis=warning +org.eclipse.jdt.core.compiler.problem.localVariableHiding=ignore +org.eclipse.jdt.core.compiler.problem.methodWithConstructorName=warning +org.eclipse.jdt.core.compiler.problem.missingDefaultCase=ignore +org.eclipse.jdt.core.compiler.problem.missingDeprecatedAnnotation=ignore 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+org.eclipse.jdt.core.compiler.problem.unusedDeclaredThrownExceptionIncludeDocCommentReference=enabled +org.eclipse.jdt.core.compiler.problem.unusedDeclaredThrownExceptionWhenOverriding=disabled +org.eclipse.jdt.core.compiler.problem.unusedExceptionParameter=ignore +org.eclipse.jdt.core.compiler.problem.unusedImport=warning +org.eclipse.jdt.core.compiler.problem.unusedLabel=warning +org.eclipse.jdt.core.compiler.problem.unusedLambdaParameter=warning +org.eclipse.jdt.core.compiler.problem.unusedLocal=warning +org.eclipse.jdt.core.compiler.problem.unusedObjectAllocation=ignore +org.eclipse.jdt.core.compiler.problem.unusedParameter=ignore +org.eclipse.jdt.core.compiler.problem.unusedParameterIncludeDocCommentReference=enabled +org.eclipse.jdt.core.compiler.problem.unusedParameterWhenImplementingAbstract=disabled +org.eclipse.jdt.core.compiler.problem.unusedParameterWhenOverridingConcrete=disabled +org.eclipse.jdt.core.compiler.problem.unusedPrivateMember=warning +org.eclipse.jdt.core.compiler.problem.unusedTypeParameter=ignore +org.eclipse.jdt.core.compiler.problem.unusedWarningToken=info +org.eclipse.jdt.core.compiler.problem.varargsArgumentNeedCast=warning org.eclipse.jdt.core.compiler.release=enabled org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore From 60a88c35b086bf3c6740f1233b456afbe29fa190 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 17 Oct 2025 10:41:32 -0400 Subject: [PATCH 140/253] Zeros. --- .../python/ml/test/TestTensorflow2Model.java | 31 +++++++++++++++++-- .../python/ml/client/TensorGenerator.java | 3 +- .../ml/client/TensorGeneratorFactory.java | 8 +++++ .../ibm/wala/cast/python/ml/client/Zeros.java | 17 ++++++++++ .../data/tf2_test_add118.py | 13 ++++++++ .../data/tf2_test_add27.py | 6 +++- 6 files changed, 74 insertions(+), 4 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add118.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index acc44760e..50ce251d6 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -71,9 +71,15 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_1_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(1), new NumericDim(2))); + private static final TensorType TENSOR_1_2_INT32 = + new TensorType(INT_32, asList(new NumericDim(1), new NumericDim(2))); + private static final TensorType TENSOR_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_2_2_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_3_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2))); @@ -1214,13 +1220,23 @@ public void testAdd25() @Test public void testAdd26() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add26.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add26.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd27() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add27.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add27.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -1801,6 +1817,17 @@ public void testAdd117() Set.of(TENSOR_2_2_FLOAT32))); } + @Test + public void testAdd118() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_add118.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index da7af5762..37b4e5db1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -326,7 +326,8 @@ else if (valueIK instanceof AllocationSiteInNode) { * type literals. * @return A set of possible dtypes of the tensor returned by this generator. */ - protected EnumSet getDTypesFromDTypeArgument(PropagationCallGraphBuilder builder, Iterable pointsToSet) { + protected EnumSet getDTypesFromDTypeArgument( + PropagationCallGraphBuilder builder, Iterable pointsToSet) { EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 0f395c168..9703a0bef 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -43,6 +43,13 @@ public class TensorGeneratorFactory { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/uniform")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/zeros. */ + private static final MethodReference ZEROS = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/zeros")), + AstMethodReference.fnSelector); + public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -57,6 +64,7 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); + else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java new file mode 100644 index 000000000..659ab3b76 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java @@ -0,0 +1,17 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; + +/** + * A generator for tensors created by the `zeros()` function in TensorFlow. + * + * @see TensorFlow zeros() API. + * @author Raffi Khatchadourian + */ +public class Zeros extends Ones { + + public Zeros(PointsToSetVariable source, CGNode node) { + super(source, node); + } +} diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add118.py b/com.ibm.wala.cast.python.test/data/tf2_test_add118.py new file mode 100644 index 000000000..418491829 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add118.py @@ -0,0 +1,13 @@ +import tensorflow +from tensorflow.python.ops.array_ops import zeros + + +def add(a, b): + return a + b + + +arg = tensorflow.zeros([1, 2], tensorflow.int32) +assert arg.shape == (1, 2) +assert arg.dtype == tensorflow.int32 + +c = add(arg, zeros([2, 2], tensorflow.int32)) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add27.py b/com.ibm.wala.cast.python.test/data/tf2_test_add27.py index 7dbdeb005..87f7d1a69 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add27.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add27.py @@ -6,4 +6,8 @@ def add(a, b): return a + b -c = add(tensorflow.zeros([1, 2]), zeros([2, 2])) +arg = tensorflow.zeros([1, 2]) +assert arg.shape == (1, 2) +assert arg.dtype == tensorflow.float32 + +c = add(arg, zeros([2, 2])) From aa6d71b95869af8841aba718c98d6e0ac59218eb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 17 Oct 2025 12:45:57 -0400 Subject: [PATCH 141/253] Zeros like. --- .../python/ml/test/TestTensorflow2Model.java | 18 +++++++++++- .../python/ml/client/TensorGenerator.java | 24 ++++++++++++--- .../ml/client/TensorGeneratorFactory.java | 10 +++++++ .../wala/cast/python/ml/client/ZerosLike.java | 29 +++++++++++++++++++ .../data/tf2_test_add119.py | 12 ++++++++ .../data/tf2_test_add32.py | 6 +++- 6 files changed, 93 insertions(+), 6 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add119.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 50ce251d6..3bb4ad63c 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1266,7 +1266,12 @@ public void testAdd31() @Test public void testAdd32() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add32.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add32.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_INT32), 3, Set.of(TENSOR_2_INT32))); } @Test @@ -1828,6 +1833,17 @@ public void testAdd118() Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); } + @Test + public void testAdd119() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_add119.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_FLOAT32), 3, Set.of(TENSOR_2_FLOAT32))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 37b4e5db1..c619867cf 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -204,8 +204,21 @@ protected Set>> getShapesFromShapeArgument( return ret; } + /** + * Returns the default shapes if no shape argument is provided. + * + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @return The default shapes if no shape argument is provided. + */ protected abstract Set>> getDefaultShapes(PropagationCallGraphBuilder builder); + /** + * Returns the value number for the shape argument in the function call. A return value of a + * number less than or equal to zero signifies that there is no shape parameter. + * + * @return The value number for the shape argument in the function call. May return a number less + * than or equal to 0 if there is no shape parameter. + */ protected abstract int getValueNumberForShapeArgument(); /** @@ -220,13 +233,16 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Get the shape from the explicit argument. // FIXME: Handle keyword arguments. int shapeArgValueNum = this.getValueNumberForShapeArgument(); + OrdinalSet pointsToSet = null; - PointerKey pointerKey = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, shapeArgValueNum); - OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + if (shapeArgValueNum > 0) { + PointerKey pointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, shapeArgValueNum); + pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + } // If the argument shape is not specified. - if (pointsToSet.isEmpty()) return getDefaultShapes(builder); + if (pointsToSet == null || pointsToSet.isEmpty()) return getDefaultShapes(builder); else // The shape points-to set is non-empty, meaning that the shape was explicitly set. return getShapesFromShapeArgument(builder, pointsToSet); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 9703a0bef..e1d58f451 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -50,6 +50,14 @@ public class TensorGeneratorFactory { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/zeros")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/zeros_like. */ + private static final MethodReference ZEROS_LIKE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/zeros_like")), + AstMethodReference.fnSelector); + public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -65,6 +73,8 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); + else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) + return new ZerosLike(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java new file mode 100644 index 000000000..2eade7a19 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -0,0 +1,29 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; + +/** + * A generator for tensors created by the `zeros_like()` function in TensorFlow. + * + * @see TensorFlow zeros_like() + * API. + * @author Raffi Khatchadourian + */ +public class ZerosLike extends Constant { + + /** + * The shape argument is not explicitly provided to zeros_like(); rather, the shape is inferred + * from the `input` argument. + */ + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = -1; + + public ZerosLike(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected int getValueNumberForShapeArgument() { + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + } +} diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add119.py b/com.ibm.wala.cast.python.test/data/tf2_test_add119.py new file mode 100644 index 000000000..53da9276c --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add119.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def add(a, b): + return a + b + + +arg = tf.zeros_like([1, 2], tf.float32) +assert arg.shape == (2,) +assert arg.dtype == tf.float32 + +c = add(arg, tf.zeros_like([2, 2], tf.float32)) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add32.py b/com.ibm.wala.cast.python.test/data/tf2_test_add32.py index 59a39751f..0c3e451c5 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add32.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add32.py @@ -5,4 +5,8 @@ def add(a, b): return a + b -c = add(tf.zeros_like([1, 2]), tf.zeros_like([2, 2])) +arg = tf.zeros_like([1, 2]) +assert arg.shape == (2,) +assert arg.dtype == tf.int32 + +c = add(arg, tf.zeros_like([2, 2])) From 2cc65b9e9b088febaa55dccc8f5e7cf64b7f899d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 17 Oct 2025 12:51:36 -0400 Subject: [PATCH 142/253] Fix test. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 3bb4ad63c..fe1a33a9f 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1277,7 +1277,12 @@ public void testAdd32() @Test public void testAdd33() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add33.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add33.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_INT32), 3, Set.of(TENSOR_2_INT32))); } @Test From 317bd3b3ab0f24d0427a49d1473d92cb14812d6a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 11:37:00 -0400 Subject: [PATCH 143/253] Initial support for `tf.fill` operation in TensorFlow models. Also move tensor types. --- .../python/ml/test/TestTensorflow2Model.java | 7 ++- .../ibm/wala/cast/python/ml/client/Fill.java | 51 ++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 61 +++++-------------- .../cast/python/ml/types/TensorFlowTypes.java | 52 ++++++++++++++++ .../data/tf2_test_add30.py | 6 +- 5 files changed, 128 insertions(+), 49 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index fe1a33a9f..12d389a50 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1254,7 +1254,12 @@ public void testAdd29() @Test public void testAdd30() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add30.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add30.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java new file mode 100644 index 000000000..b221681bb --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -0,0 +1,51 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import java.util.List; +import java.util.Set; + +/** + * A representation of the TensorFlow fill() function. + * + * @see TensorFlow fill() API. + * @author Raffi Khatchadourian + */ +public class Fill extends Constant { + + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; + + private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 3; + + /** + * The dtype argument is not explicitly provided to fill(); rather, the dtype is inferred from the + * `value` argument. + */ + private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = -1; + + public Fill(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected int getValueNumberForDTypeArgument() { + return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + } + + @Override + protected int getValueNumberForValueArgument() { + return VALUE_NUMBER_FOR_VALUE_ARGUMENT; + } + + @Override + protected int getValueNumberForShapeArgument() { + return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + } + + @Override + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + throw new UnsupportedOperationException("Shape is mandatory and must be provided explicitly."); + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index e1d58f451..ba8e4f043 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -1,63 +1,29 @@ package com.ibm.wala.cast.python.ml.client; -import com.ibm.wala.cast.python.types.PythonTypes; -import com.ibm.wala.cast.types.AstMethodReference; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONSTANT; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS_LIKE; + import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; -import com.ibm.wala.types.MethodReference; -import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; import java.util.logging.Logger; +/** + * A factory for creating TensorGenerator instances based on the called TensorFlow function. + * + * @author Raffi Khatchadourian + */ public class TensorGeneratorFactory { private static final Logger LOGGER = Logger.getLogger(TensorGeneratorFactory.class.getName()); - /** https://www.tensorflow.org/api_docs/python/tf/ones. */ - private static final MethodReference ONES = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/constant. */ - private static final MethodReference CONSTANT = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/range. */ - private static final MethodReference RANGE = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/range")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/random/uniform. */ - private static final MethodReference UNIFORM = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/uniform")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/zeros. */ - private static final MethodReference ZEROS = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/zeros")), - AstMethodReference.fnSelector); - - /** https://www.tensorflow.org/api_docs/python/tf/zeros_like. */ - private static final MethodReference ZEROS_LIKE = - MethodReference.findOrCreate( - TypeReference.findOrCreate( - PythonTypes.pythonLoader, - TypeName.string2TypeName("Ltensorflow/functions/zeros_like")), - AstMethodReference.fnSelector); - public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); @@ -75,6 +41,7 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) return new ZerosLike(source, node); + else if (calledFunction.equals(FILL.getDeclaringClass())) return new Fill(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 437f3374a..4f537329b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -5,7 +5,9 @@ import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.cast.types.AstMethodReference; import com.ibm.wala.types.FieldReference; +import com.ibm.wala.types.MethodReference; import com.ibm.wala.types.TypeName; import com.ibm.wala.types.TypeReference; import java.util.Map; @@ -45,6 +47,56 @@ public enum DType { public static final TypeReference D_TYPE = TypeReference.findOrCreate(pythonLoader, TypeName.findOrCreate("Ltensorflow/dtypes/DType")); + /** https://www.tensorflow.org/api_docs/python/tf/ones. */ + public static final MethodReference ONES = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/ones")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/constant. */ + public static final MethodReference CONSTANT = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/constant")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/range. */ + public static final MethodReference RANGE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/range")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/random/uniform. */ + public static final MethodReference UNIFORM = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/uniform")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/zeros. */ + public static final MethodReference ZEROS = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/zeros")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/zeros_like. */ + public static final MethodReference ZEROS_LIKE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/zeros_like")), + AstMethodReference.fnSelector); + + /** https://www.tensorflow.org/api_docs/python/tf/fill. */ + public static final MethodReference FILL = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/fill")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add30.py b/com.ibm.wala.cast.python.test/data/tf2_test_add30.py index a26c59a8e..0c6976433 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add30.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add30.py @@ -5,4 +5,8 @@ def add(a, b): return a + b -c = add(tf.fill([1, 2], 2), tf.fill([2, 2], 1)) +arg1 = tf.fill([1, 2], 2) +assert arg1.shape == (1, 2) +assert arg1.dtype == tf.int32 + +c = add(arg1, tf.fill([2, 2], 1)) From 59943809e495b311953cef05c9064fe0417f107c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 12:15:39 -0400 Subject: [PATCH 144/253] Additional test for `tf.fill` operation in TensorFlow 2 models. --- .../python/ml/test/TestTensorflow2Model.java | 11 +++++++++++ .../data/tf2_test_add120.py | 16 ++++++++++++++++ 2 files changed, 27 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add120.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 12d389a50..e598040e6 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1854,6 +1854,17 @@ public void testAdd119() Map.of(2, Set.of(TENSOR_2_FLOAT32), 3, Set.of(TENSOR_2_FLOAT32))); } + @Test + public void testAdd120() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_add120.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add120.py b/com.ibm.wala.cast.python.test/data/tf2_test_add120.py new file mode 100644 index 000000000..c5fdb68c6 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add120.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +def add(a, b): + return a + b + + +arg1 = tf.fill([1, 2], 2.0) +assert arg1.shape == (1, 2) +assert arg1.dtype == tf.float32 + +arg2 = tf.fill([2, 2], 1.0) +assert arg2.shape == (2, 2) +assert arg2.dtype == tf.float32 + +c = add(arg1, arg2) From 8b37b8dccf69043838062297c1454292304e0e3d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 12:18:05 -0400 Subject: [PATCH 145/253] Fix test for `tf.fill()`. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index e598040e6..df3374b79 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1265,7 +1265,7 @@ public void testAdd30() @Test public void testAdd31() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add31.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test("tf2_test_add31.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); } @Test From e265d70a76851f5b62c4ce7a220fa37c7c86e2d7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 12:19:39 -0400 Subject: [PATCH 146/253] Format. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index df3374b79..3dc745a16 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1265,7 +1265,12 @@ public void testAdd30() @Test public void testAdd31() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add31.py", "add", 2, 2, Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); + test( + "tf2_test_add31.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_1_2_INT32), 3, Set.of(TENSOR_2_2_INT32))); } @Test From 8e6b4b23c3bf3d92109b3de269b7c2a48381b55e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 12:58:26 -0400 Subject: [PATCH 147/253] Handle `tf.random.normal()` calls. --- .../python/ml/test/TestTensorflow2Model.java | 18 +++++++++++++++++- .../ibm/wala/cast/python/ml/client/Normal.java | 18 ++++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 2 ++ .../cast/python/ml/types/TensorFlowTypes.java | 7 +++++++ .../data/tf2_test_add104.py | 8 +++++--- .../data/tf2_test_add121.py | 12 ++++++++++++ 6 files changed, 61 insertions(+), 4 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add121.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 3dc745a16..1e6d95dfe 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1740,7 +1740,12 @@ public void testAdd103() @Test public void testAdd104() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add104.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add104.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_4_FLOAT32), 3, Set.of(TENSOR_4_FLOAT32))); } @Test @@ -1870,6 +1875,17 @@ public void testAdd120() Map.of(2, Set.of(TENSOR_1_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } + @Test + public void testAdd121() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_add121.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_4_FLOAT32), 3, Set.of(TENSOR_4_FLOAT32))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java new file mode 100644 index 000000000..2a99e61ea --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java @@ -0,0 +1,18 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; + +/** + * A representation of the `random.normal()` function in TensorFlow. + * + * @see TensorFlow + * random.normal() API. + * @author Raffi Khatchadourian + */ +public class Normal extends Uniform { + + public Normal(PointsToSetVariable source, CGNode node) { + super(source, node); + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index ba8e4f043..6b60c6167 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -2,6 +2,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONSTANT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; @@ -38,6 +39,7 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); + else if (calledFunction.equals(NORMAL.getDeclaringClass())) return new Normal(source, node); else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) return new ZerosLike(source, node); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 4f537329b..b38a19586 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -75,6 +75,13 @@ public enum DType { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/uniform")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/random/normal. */ + public static final MethodReference NORMAL = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/normal")), + AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/zeros. */ public static final MethodReference ZEROS = MethodReference.findOrCreate( diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add104.py b/com.ibm.wala.cast.python.test/data/tf2_test_add104.py index 319806a4d..4004422e0 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add104.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add104.py @@ -5,6 +5,8 @@ def add(a, b): return a + b -c = add( - tf.random.normal([4], 0, 1, tf.float32), tf.random.normal([4], 2, 1, tf.float32) -) +arg1 = tf.random.normal([4], 0, 1, tf.float32) +assert arg1.shape == (4,) +assert arg1.dtype == tf.float32 + +c = add(arg1, tf.random.normal([4], 2, 1, tf.float32)) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add121.py b/com.ibm.wala.cast.python.test/data/tf2_test_add121.py new file mode 100644 index 000000000..3c3d9e771 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add121.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def add(a, b): + return a + b + + +arg1 = tf.random.normal([4], 0, 1) +assert arg1.shape == (4,) +assert arg1.dtype == tf.float32 + +c = add(arg1, tf.random.normal([4], 2, 1)) From 87cc3f31f10d594add4ad6491432006259009383 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 12:59:04 -0400 Subject: [PATCH 148/253] Fix docs. --- .../source/com/ibm/wala/cast/python/ml/client/Uniform.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index 99175fb73..d34698f4c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -4,7 +4,7 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; /** - * A generator for tensors created by the `uniform()` function in TensorFlow. + * A representation of the `random.uniform()` function in TensorFlow. * * @see TensorFlow uniform() * API. From c54739d160359fcea5d8005712f22d7f3b3ae55b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 13:41:41 -0400 Subject: [PATCH 149/253] Additional test for `tf.random.normal()`. --- .../python/ml/test/TestTensorflow2Model.java | 17 +++++++++++++++++ com.ibm.wala.cast.python.ml/data/tensorflow.xml | 4 ++++ .../cast/python/ml/types/TensorFlowTypes.java | 14 +++++++++++++- .../data/tf2_test_add122.py | 12 ++++++++++++ 4 files changed, 46 insertions(+), 1 deletion(-) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_add122.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 1e6d95dfe..e4b5d5001 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.test; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT64; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.cast.python.ml.types.TensorType.mnistInput; import static com.ibm.wala.cast.python.util.Util.addPytestEntrypoints; @@ -60,6 +61,8 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final String FLOAT_32 = FLOAT32.name().toLowerCase(); + private static final String FLOAT_64 = FLOAT64.name().toLowerCase(); + private static final String INT_32 = INT32.name().toLowerCase(); private static final TensorType MNIST_INPUT = mnistInput(); @@ -113,6 +116,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_4_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(4))); + private static final TensorType TENSOR_4_FLOAT64 = + new TensorType(FLOAT_64, asList(new NumericDim(4))); + private static final TensorType TENSOR_5_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(5))); @@ -1886,6 +1892,17 @@ public void testAdd121() Map.of(2, Set.of(TENSOR_4_FLOAT32), 3, Set.of(TENSOR_4_FLOAT32))); } + @Test + public void testAdd122() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test( + "tf2_test_add122.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_4_FLOAT64), 3, Set.of(TENSOR_4_FLOAT64))); + } + @Test public void testMultiGPUTraining() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index bac064e68..8fa9dbbf5 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -225,6 +225,10 @@ + + + + diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index b38a19586..a05455c96 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.types; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT64; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; @@ -115,6 +116,17 @@ public enum DType { FieldReference.findOrCreate( PythonTypes.Root, findOrCreateAsciiAtom(FLOAT32.name().toLowerCase()), D_TYPE); + /** + * Represents the TensorFlow float65 data type. + * + * @see TensorFlow + * float64 DType. + */ + public static final FieldReference FLOAT_64 = + FieldReference.findOrCreate( + PythonTypes.Root, findOrCreateAsciiAtom(FLOAT64.name().toLowerCase()), D_TYPE); + /** * Represents the TensorFlow int32 data type. * @@ -128,7 +140,7 @@ public enum DType { /** A mapping from a field reference to its associated {@link DType}, if any. */ public static final Map FIELD_REFERENCE_TO_DTYPE = - Map.of(FLOAT_32, FLOAT32, INT_32, INT32); + Map.of(FLOAT_32, FLOAT32, FLOAT_64, FLOAT64, INT_32, INT32); private TensorFlowTypes() {} } diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add122.py b/com.ibm.wala.cast.python.test/data/tf2_test_add122.py new file mode 100644 index 000000000..70e85c978 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add122.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def add(a, b): + return a + b + + +arg1 = tf.random.normal([4], 0, 1, tf.float64) +assert arg1.shape == (4,) +assert arg1.dtype == tf.float64 + +c = add(arg1, tf.random.normal([4], 2, 1, tf.float64)) From 6dfa1a8e40996f49cc3830530e782ec7978b1734 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 13:45:12 -0400 Subject: [PATCH 150/253] Update test. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index e4b5d5001..703c11ac7 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1757,7 +1757,12 @@ public void testAdd104() @Test public void testAdd105() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add105.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add105.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_4_FLOAT32), 3, Set.of(TENSOR_4_FLOAT32))); } @Test From 23446182c8f15c97ee9e94ad90a668aa32c24a31 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 20 Oct 2025 14:30:23 -0400 Subject: [PATCH 151/253] Handle multiple imports. Update tests. --- .../python/ml/test/TestTensorflow2Model.java | 7 +- .../python/ml/client/TensorGenerator.java | 70 ++++++++++--------- 2 files changed, 44 insertions(+), 33 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 703c11ac7..e79935b15 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1768,7 +1768,12 @@ public void testAdd105() @Test public void testAdd106() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add106.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add106.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_4_FLOAT32), 3, Set.of(TENSOR_4_FLOAT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index c619867cf..6357bb001 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -11,6 +11,7 @@ import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; import static java.util.Collections.emptyList; +import static java.util.stream.Collectors.toSet; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes; @@ -43,7 +44,6 @@ import java.util.EnumSet; import java.util.List; import java.util.Map.Entry; -import java.util.Optional; import java.util.Set; import java.util.logging.Logger; @@ -353,11 +353,11 @@ protected EnumSet getDTypesFromDTypeArgument( if (typeReference.equals(TensorFlowTypes.D_TYPE)) { // we have a dtype. - // let's see if it's float32. + // let's see if it's a dtype. Set importNodes = builder.getCallGraph().getNodes(IMPORT); - // find the import node from this file. - Optional importNode = + // find the import nodes from this file. + Set importNodesOfInterest = importNodes.stream() .filter( in -> { @@ -384,38 +384,44 @@ protected EnumSet getDTypesFromDTypeArgument( return method.equals(nodeCS.getMethods()[0]); }) - .findFirst(); + .collect(toSet()); - InstanceKey tensorFlowIK = - pointerAnalysis - .getHeapModel() - .getInstanceKeyForAllocation( - importNode.get(), NewSiteReference.make(0, TENSORFLOW)); + if (importNodesOfInterest.isEmpty()) + throw new IllegalStateException("No import nodes found for source: " + source + "."); - // Check dtype literals. boolean found = false; - for (Entry entry : FIELD_REFERENCE_TO_DTYPE.entrySet()) { - FieldReference fieldRef = entry.getKey(); - DType dtype = entry.getValue(); - IField field = builder.getClassHierarchy().resolveField(fieldRef); - - PointerKey pk = - pointerAnalysis.getHeapModel().getPointerKeyForInstanceField(tensorFlowIK, field); - - for (InstanceKey ik : pointerAnalysis.getPointsToSet(pk)) - if (ik.equals(instanceKey)) { - ret.add(dtype); - LOGGER.info( - "Found dtype: " - + dtype - + " for source: " - + source - + " from dType: " - + instanceKey - + "."); - found = true; - } + for (CGNode importNode : importNodesOfInterest) { + LOGGER.fine("Found import node of interest: " + importNode + "."); + + InstanceKey tensorFlowIK = + pointerAnalysis + .getHeapModel() + .getInstanceKeyForAllocation(importNode, NewSiteReference.make(0, TENSORFLOW)); + + // Check dtype literals. + for (Entry entry : FIELD_REFERENCE_TO_DTYPE.entrySet()) { + FieldReference fieldRef = entry.getKey(); + DType dtype = entry.getValue(); + IField field = builder.getClassHierarchy().resolveField(fieldRef); + + PointerKey pk = + pointerAnalysis.getHeapModel().getPointerKeyForInstanceField(tensorFlowIK, field); + + for (InstanceKey ik : pointerAnalysis.getPointsToSet(pk)) + if (ik.equals(instanceKey)) { + ret.add(dtype); + LOGGER.info( + "Found dtype: " + + dtype + + " for source: " + + source + + " from dType: " + + instanceKey + + "."); + found = true; + } + } } if (!found) throw new IllegalStateException("Unknown dtype: " + instanceKey + "."); From 2ce585695029c4b0ef3d440f0cf3dd7ba81df908 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 09:51:40 -0400 Subject: [PATCH 152/253] Progress. --- .../python/ml/test/TestTensorflow2Model.java | 14 +++++++++++-- .../ml/client/TensorGeneratorFactory.java | 3 +++ .../python/ml/client/TruncatedNormal.java | 20 +++++++++++++++++++ .../cast/python/ml/types/TensorFlowTypes.java | 8 ++++++++ .../data/tf2_test_add109.py | 6 +++++- 5 files changed, 48 insertions(+), 3 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index e79935b15..2d64238bd 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1791,13 +1791,23 @@ public void testAdd108() @Test public void testAdd109() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add109.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add109.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_FLOAT32), 3, Set.of(TENSOR_2_FLOAT32))); } @Test public void testAdd110() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add110.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add110.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_FLOAT32), 3, Set.of(TENSOR_2_FLOAT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 6b60c6167..780b5b2ef 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -5,6 +5,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TRUNCATED_NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS_LIKE; @@ -40,6 +41,8 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); else if (calledFunction.equals(NORMAL.getDeclaringClass())) return new Normal(source, node); + else if (calledFunction.equals(TRUNCATED_NORMAL.getDeclaringClass())) + return new TruncatedNormal(source, node); else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) return new ZerosLike(source, node); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java new file mode 100644 index 000000000..c8b436183 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java @@ -0,0 +1,20 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; + +/** + * A representation of the `tf.random.truncated_normal' API in TensorFlow. + * + * @see tf.random.truncated_normal + * API. + * @author Raffi Khatchadourian + */ +public class TruncatedNormal extends Normal { + + public TruncatedNormal(PointsToSetVariable source, CGNode node) { + super(source, node); + // TODO Auto-generated constructor stub + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index a05455c96..c17deb491 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -83,6 +83,14 @@ public enum DType { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/normal")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/random/truncated_normal. */ + public static final MethodReference TRUNCATED_NORMAL = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/truncated_normal")), + AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/zeros. */ public static final MethodReference ZEROS = MethodReference.findOrCreate( diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add109.py b/com.ibm.wala.cast.python.test/data/tf2_test_add109.py index 68269b091..cceeb33a2 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add109.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add109.py @@ -4,5 +4,9 @@ def add(a, b): return a + b +arg1 = tf.random.truncated_normal([2]) +assert isinstance(arg1, tf.Tensor) +assert arg1.dtype == tf.float32 +assert arg1.shape == (2,) -c = add(tf.random.truncated_normal([2]), tf.random.truncated_normal([2], 3, 1)) +c = add(arg1, tf.random.truncated_normal([2], 3, 1)) From 689829e3a9f63956dd8ecdcdbab28c0807163c24 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 09:58:34 -0400 Subject: [PATCH 153/253] Format. --- com.ibm.wala.cast.python.test/data/tf2_test_add109.py | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add109.py b/com.ibm.wala.cast.python.test/data/tf2_test_add109.py index cceeb33a2..97aedeb12 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add109.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add109.py @@ -4,6 +4,7 @@ def add(a, b): return a + b + arg1 = tf.random.truncated_normal([2]) assert isinstance(arg1, tf.Tensor) assert arg1.dtype == tf.float32 From a442bdcb13d91e0e99b4b5aaa8e9ab8d9d487d87 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 10:18:49 -0400 Subject: [PATCH 154/253] Simplify `tf.range()` handling. --- .../source/com/ibm/wala/cast/python/ml/client/Range.java | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 3c6647827..6c6d7f8c2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -86,12 +86,11 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } private int getNumberOfNumericPositionalArgs(PointerAnalysis pointerAnalysis) { - int ret = 0; - int explicitArgumentIndex = 2; // Start from the first explicit argument. + int ret = 2; // Start from the first explicit argument. while (true) { PointerKey pk = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, explicitArgumentIndex); + pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, ret); // Positional arguments. OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pk); if (pointsToSet.isEmpty()) break; // End of positional arguments. @@ -107,10 +106,9 @@ private int getNumberOfNumericPositionalArgs(PointerAnalysis pointe if (!allNumeric) break; // There's some argument that is not numeric for this argument. ret++; // Increment the count of numeric positional arguments. - explicitArgumentIndex++; // Move to the next explicit argument. } - return ret; + return ret - 2; // Subtract 2 to get the number of numeric positional arguments. } @Override From a3ae6f9bb23cc5098a32e1e182e59f0a2188639b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 10:42:35 -0400 Subject: [PATCH 155/253] Simplify code. --- .../com/ibm/wala/cast/python/ml/client/Range.java | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 6c6d7f8c2..e7c7521e5 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -69,14 +69,11 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - for (InstanceKey limitIK : limitPointsToSet) - if (limitIK instanceof ConstantKey) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. - } else - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for limit, but got: " + limitIK + "."); + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } } else // TODO: Handle more cases. throw new UnimplementedError( From e513cf91de9eb7fe10398f3f5b082372e4d0057c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 11:14:30 -0400 Subject: [PATCH 156/253] Simplify. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 6357bb001..d350bcc3d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -361,8 +361,7 @@ protected EnumSet getDTypesFromDTypeArgument( importNodes.stream() .filter( in -> { - ContextItem contextItem = in.getContext().get(CALL_STRING); - CallString cs = (CallString) contextItem; + CallString cs = (CallString) in.getContext().get(CALL_STRING); // We expect the first method in the call string to be the import. assert cs.getMethods().length == 1 From b8978275020cdea2085ea9f0e9fbf331a7402683 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 13:06:22 -0400 Subject: [PATCH 157/253] Fix number of parameters for `tf.range`. --- .../ibm/wala/cast/python/ml/client/Ones.java | 3 + .../ibm/wala/cast/python/ml/client/Range.java | 124 +++++++++++------- .../python/ml/client/TensorGenerator.java | 20 ++- 3 files changed, 90 insertions(+), 57 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index df3d1a263..23ed29210 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static java.util.logging.Logger.getLogger; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; @@ -19,6 +20,8 @@ */ public class Ones extends TensorGenerator { + private static final java.util.logging.Logger LOGGER = getLogger(Ones.class.getName()); + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index e7c7521e5..cc4b7672a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,10 +1,13 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; +import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -12,15 +15,18 @@ import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; +import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.debug.UnimplementedError; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; +import java.util.Iterator; import java.util.List; import java.util.Set; +import java.util.logging.Logger; import java.util.stream.Collectors; import java.util.stream.IntStream; -import java.util.stream.StreamSupport; /** * A representation of the TensorFlow range operation. @@ -34,6 +40,8 @@ */ public class Range extends TensorGenerator { + private static final Logger LOGGER = Logger.getLogger(Range.class.getName()); + public Range(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -59,53 +67,68 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // First, decide which version of the `range` function is being called based on the number of // numeric arguments.j // TODO: Handle keyword arguments. - - int numOfNumericPositionalArgs = getNumberOfNumericPositionalArgs(pointerAnalysis); - - if (numOfNumericPositionalArgs == 1) { - // it must *just* be `limit`. - PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, 2); - OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - - assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - - for (InstanceKey limitIK : limitPointsToSet) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. - } - } else - // TODO: Handle more cases. - throw new UnimplementedError( - "Currently cannot handle more than one numeric positional argument for range()."); + for (Integer numOfPoisitionArguments : getNumberOfPossiblePositionalArguments(builder)) { + if (numOfPoisitionArguments == 1) { + // it must *just* be `limit`. + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } + } else + // TODO: Handle more cases. + throw new UnimplementedError( + "Currently cannot handle more than one numeric positional argument for range()."); + } return ret; } - private int getNumberOfNumericPositionalArgs(PointerAnalysis pointerAnalysis) { - int ret = 2; // Start from the first explicit argument. - - while (true) { - PointerKey pk = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, ret); // Positional arguments. - OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pk); - - if (pointsToSet.isEmpty()) break; // End of positional arguments. - - // Check if the pointsToSet contains numeric values. - boolean allNumeric = - StreamSupport.stream(pointsToSet.spliterator(), false) - .filter(ik -> ik instanceof ConstantKey) - .map(ik -> (ConstantKey) ik) - .map(ConstantKey::getValue) - .allMatch(v -> v instanceof Number); // Check if all values are numeric. - - if (!allNumeric) break; // There's some argument that is not numeric for this argument. - - ret++; // Increment the count of numeric positional arguments. + /** + * Returns the set of possible numbers of positional arguments passed to the range function at the + * call. + * + * @param builder The {@link PropagationCallGraphBuilder} used for the analysis. + * @return A set of integers representing the possible number of positional arguments. + */ + private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { + Set ret = HashSetFactory.make(); + + CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); + CallSiteReference siteReference = cs.getCallSiteRefs()[0]; + + for (CGNode caller : builder.getCallGraph()) { + for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { + CallSiteReference callSite = it.next(); + + if (callSite.equals(siteReference)) { + // caller is the node that made the call. + LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + + ret.add(numberOfPositionalParameters); + } + } + } } - - return ret - 2; // Subtract 2 to get the number of numeric positional arguments. + return ret; } @Override @@ -114,15 +137,16 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // explicitly. // TODO: Handle keyword arguments. - int numberOfNumericPositionalArgs = - getNumberOfNumericPositionalArgs(builder.getPointerAnalysis()); - EnumSet types = - IntStream.range(0, numberOfNumericPositionalArgs) - .map(i -> i + 2) // Positional arguments start at index 2. - .mapToObj(val -> getDTypes(builder, val).stream()) + getNumberOfPossiblePositionalArguments(builder).stream() + .map( + numArgs -> + IntStream.range(0, numArgs) + .map(i -> i + 2) // Positional arguments start at index 2. + .mapToObj(val -> getDTypes(builder, val).stream()) + .flatMap(identity()) + .distinct()) .flatMap(identity()) - .distinct() .collect(Collectors.toCollection(() -> EnumSet.noneOf(DType.class))); // FIXME: We can't tell the difference here between varying dtypes in a single call and that of diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index d350bcc3d..c1257010a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -25,7 +25,6 @@ import com.ibm.wala.classLoader.IMethod; import com.ibm.wala.classLoader.NewSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.ContextItem; import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -49,7 +48,7 @@ public abstract class TensorGenerator { - protected static final Logger LOGGER = Logger.getLogger(TensorGenerator.class.getName()); + private static final Logger LOGGER = Logger.getLogger(TensorGenerator.class.getName()); private static final MethodReference IMPORT = MethodReference.findOrCreate( @@ -237,7 +236,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) if (shapeArgValueNum > 0) { PointerKey pointerKey = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, shapeArgValueNum); + pointerAnalysis.getHeapModel().getPointerKeyForLocal(getNode(), shapeArgValueNum); pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); } @@ -259,7 +258,8 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) protected Set>> getShapes( PropagationCallGraphBuilder builder, int valueNumber) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + PointerKey valuePK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); return getShapesOfValue(builder, valuePointsToSet); } @@ -372,7 +372,7 @@ protected EnumSet getDTypesFromDTypeArgument( IMethod method = cs.getMethods()[0]; - CallString nodeCS = (CallString) node.getContext().get(CALL_STRING); + CallString nodeCS = (CallString) this.getNode().getContext().get(CALL_STRING); // We expect the first method in the call string to be the import. assert nodeCS.getMethods().length == 1 @@ -463,7 +463,8 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { if (valNum > 0) { // The dtype is in an explicit argument. // FIXME: Handle keyword arguments. - PointerKey pointerKey = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valNum); + PointerKey pointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valNum); pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); } @@ -484,7 +485,8 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { */ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valueNumber) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(node, valueNumber); + PointerKey valuePK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); return getDTypesOfValue(builder, valuePointsToSet); } @@ -583,4 +585,8 @@ private EnumSet getDTypesOfValue( "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); return ret; } + + protected CGNode getNode() { + return this.node; + } } From 319eed7663569e2f888cc21117aa7f6d7721dcc5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 21 Oct 2025 13:22:46 -0400 Subject: [PATCH 158/253] Handle multiple parameters for `tf.range()`. --- .../python/ml/test/TestTensorflow2Model.java | 21 +++++++-- .../ibm/wala/cast/python/ml/client/Range.java | 46 +++++++++++++++---- .../data/tf2_test_add38.py | 10 +++- .../data/tf2_test_tf_range.py | 6 +++ 4 files changed, 71 insertions(+), 12 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 2d64238bd..527b77435 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1328,13 +1328,23 @@ public void testAdd37() @Test public void testAdd38() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add38.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add38.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_5_INT32), 3, Set.of(TENSOR_5_INT32))); } @Test public void testAdd39() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add39.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add39.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_5_INT32), 3, Set.of(TENSOR_5_INT32))); } @Test @@ -1422,7 +1432,12 @@ public void testAdd49() @Test public void testAdd50() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add50.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add50.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_5_INT32), 3, Set.of(TENSOR_5_INT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index cc4b7672a..f7bbddd57 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -18,7 +18,6 @@ import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; -import com.ibm.wala.util.debug.UnimplementedError; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; import java.util.Iterator; @@ -64,10 +63,10 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // 2. `tf.range(start, limit, delta)` - generates a range from start to limit with a step of // delta. - // First, decide which version of the `range` function is being called based on the number of - // numeric arguments.j + // Decide which version of the `range` function is being called based on the number of numeric + // arguments. // TODO: Handle keyword arguments. - for (Integer numOfPoisitionArguments : getNumberOfPossiblePositionalArguments(builder)) { + for (Integer numOfPoisitionArguments : getNumberOfPossiblePositionalArguments(builder)) if (numOfPoisitionArguments == 1) { // it must *just* be `limit`. PointerKey limitPK = @@ -81,11 +80,42 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) int shape = (int) Math.ceil((limit - start) / delta); ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. } + } else if (numOfPoisitionArguments == 3) { + // it must be `start`, `limit`, and `delta`. + PointerKey startPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 3); + PointerKey deltaPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 4); + + OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + OrdinalSet deltaPointsToSet = pointerAnalysis.getPointsToSet(deltaPK); + + assert !startPointsToSet.isEmpty() : "Expected a non-empty points-to set for start."; + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + assert !deltaPointsToSet.isEmpty() : "Expected a non-empty points-to set for delta."; + + for (InstanceKey startIK : startPointsToSet) { + start = ((Number) ((ConstantKey) startIK).getValue()).doubleValue(); + + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + + for (InstanceKey deltaIK : deltaPointsToSet) { + delta = ((Number) ((ConstantKey) deltaIK).getValue()).doubleValue(); + + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } + } + } } else - // TODO: Handle more cases. - throw new UnimplementedError( - "Currently cannot handle more than one numeric positional argument for range()."); - } + throw new IllegalStateException( + "Expected either 1 or 3 positional arguments for range(), but got: " + + numOfPoisitionArguments + + "."); return ret; } diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add38.py b/com.ibm.wala.cast.python.test/data/tf2_test_add38.py index c5bd2fced..d0cd9b01d 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add38.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add38.py @@ -5,4 +5,12 @@ def add(a, b): return a + b -c = add(tf.range(3, 18, 3), tf.range(5)) +arg1 = tf.range(3, 18, 3) +assert arg1.shape == (5,) +assert arg1.dtype == tf.int32 + +arg2 = tf.range(5) +assert arg2.shape == (5,) +assert arg2.dtype == tf.int32 + +c = add(arg1, arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py index 4c6c94336..195a723cb 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py @@ -12,6 +12,12 @@ def f(a): delta = 3 r = tf.range(start, limit, delta) +assert isinstance(r, tf.Tensor) +assert r.shape == (5,) +assert r.dtype == tf.int32 for i in r: + assert isinstance(i, tf.Tensor) + assert i.dtype == tf.int32 + assert i.shape == () f(i) From 41950e9caf8cd95dcbcc7562c2f472ae504f8cb3 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 23 Oct 2025 11:15:36 -0400 Subject: [PATCH 159/253] Remove assertions for now. --- com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py index 195a723cb..4c6c94336 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py @@ -12,12 +12,6 @@ def f(a): delta = 3 r = tf.range(start, limit, delta) -assert isinstance(r, tf.Tensor) -assert r.shape == (5,) -assert r.dtype == tf.int32 for i in r: - assert isinstance(i, tf.Tensor) - assert i.dtype == tf.int32 - assert i.shape == () f(i) From 69a0a89ede0a6a063c85934b7ea6112d884c0392 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 23 Oct 2025 11:18:48 -0400 Subject: [PATCH 160/253] Simplify. --- .../ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java index ce6437ef7..7bb9e1ed7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/analysis/TensorTypeAnalysis.java @@ -480,8 +480,7 @@ protected TensorVariable[] makeStmtRHS(int size) { protected void initializeVariables() { super.initializeVariables(); for (PointsToSetVariable src : init.keySet()) { - Set tensorTypes = init.get(src); - getOut(src).state.addAll(tensorTypes); + getOut(src).state.addAll(init.get(src)); } } From b3f943701eb40023efc1aaffe17060dd8b0ef147 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 24 Oct 2025 10:15:57 -0400 Subject: [PATCH 161/253] Add logging. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 1bd29592a..64ea55ffb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -736,7 +736,11 @@ private Set getTensorTypes( logger.info("Getting tensor types for source: " + source + "."); TensorGenerator generator = TensorGeneratorFactory.getGenerator(source); - return generator.getTensorTypes(builder); + + Set tensorTypes = generator.getTensorTypes(builder); + logger.info(() -> "Tensor types for source: " + source + " are: " + tensorTypes + "."); + + return tensorTypes; } private Map handleShapeSourceOp( From 1505689ebbc5826d4876cc340d94f0724007b0c3 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 24 Oct 2025 10:29:47 -0400 Subject: [PATCH 162/253] Add pretty printing. --- .../com/ibm/wala/cast/python/ml/client/Constant.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Fill.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Normal.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Ones.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Range.java | 7 +++++++ .../wala/cast/python/ml/client/TensorGenerator.java | 12 ++++++++++++ .../wala/cast/python/ml/client/TruncatedNormal.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Uniform.java | 7 +++++++ .../com/ibm/wala/cast/python/ml/client/Zeros.java | 7 +++++++ .../ibm/wala/cast/python/ml/client/ZerosLike.java | 7 +++++++ 10 files changed, 75 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index b034bfce8..aef930dc1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -17,6 +17,8 @@ */ public class Constant extends TensorGenerator { + private static final String FUNCTION_NAME = "tf.constant()"; + private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 2; private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; @@ -57,4 +59,9 @@ protected int getValueNumberForShapeArgument() { // function's name). return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index b221681bb..ac09008b2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -15,6 +15,8 @@ */ public class Fill extends Constant { + private static final String FUNCTION_NAME = "tf.fill()"; + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 3; @@ -48,4 +50,9 @@ protected int getValueNumberForShapeArgument() { protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { throw new UnsupportedOperationException("Shape is mandatory and must be provided explicitly."); } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java index 2a99e61ea..f627b89ed 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java @@ -12,7 +12,14 @@ */ public class Normal extends Uniform { + private static final String FUNCTION_NAME = "tf.random.normal()"; + public Normal(PointsToSetVariable source, CGNode node) { super(source, node); } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 23ed29210..7346a9196 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -22,6 +22,8 @@ public class Ones extends TensorGenerator { private static final java.util.logging.Logger LOGGER = getLogger(Ones.class.getName()); + private static final String FUNCTION_NAME = "tf.ones()"; + private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; @@ -53,4 +55,9 @@ protected int getValueNumberForShapeArgument() { protected int getValueNumberForDTypeArgument() { return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index f7bbddd57..95d25e2c8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -41,6 +41,8 @@ public class Range extends TensorGenerator { private static final Logger LOGGER = Logger.getLogger(Range.class.getName()); + private static final String FUNCTION_NAME = "tf.range()"; + public Range(PointsToSetVariable source, CGNode node) { super(source, node); } @@ -212,4 +214,9 @@ protected int getValueNumberForDTypeArgument() { return -1; // Positional dtype argument for range() is not yet implemented. } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index c1257010a..ddbcb71c1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -589,4 +589,16 @@ private EnumSet getDTypesOfValue( protected CGNode getNode() { return this.node; } + + @Override + public String toString() { + return this.getSignature(); + } + + /** + * Returns the TensorFlow function signature represented by this generator. + * + * @return The TensorFlow function signature represented by this generator. + */ + protected abstract String getSignature(); } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java index c8b436183..52ebef56e 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java @@ -13,8 +13,15 @@ */ public class TruncatedNormal extends Normal { + private static final String FUNCTION_NAME = "tf.random.truncated_normal()"; + public TruncatedNormal(PointsToSetVariable source, CGNode node) { super(source, node); // TODO Auto-generated constructor stub } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index d34698f4c..02c848dd6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -12,6 +12,8 @@ */ public class Uniform extends Ones { + private static final String FUNCTION_NAME = "tf.random.uniform()"; + private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 5; public Uniform(PointsToSetVariable source, CGNode node) { @@ -22,4 +24,9 @@ public Uniform(PointsToSetVariable source, CGNode node) { protected int getValueNumberForDTypeArgument() { return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java index 659ab3b76..dd429b2a1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java @@ -11,7 +11,14 @@ */ public class Zeros extends Ones { + private static final String FUNCTION_NAME = "tf.zeros()"; + public Zeros(PointsToSetVariable source, CGNode node) { super(source, node); } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java index 2eade7a19..ac6c0e856 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -12,6 +12,8 @@ */ public class ZerosLike extends Constant { + public static final String FUNCTION_NAME = "tf.zeros_like()"; + /** * The shape argument is not explicitly provided to zeros_like(); rather, the shape is inferred * from the `input` argument. @@ -26,4 +28,9 @@ public ZerosLike(PointsToSetVariable source, CGNode node) { protected int getValueNumberForShapeArgument() { return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } } From a867dae332644e6dfb517eddd50cfeffbca6e7b1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 24 Oct 2025 10:36:12 -0400 Subject: [PATCH 163/253] Alter logging. --- .../cast/python/ml/client/PythonTensorAnalysisEngine.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java index 64ea55ffb..b5ca30cf9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/PythonTensorAnalysisEngine.java @@ -733,12 +733,13 @@ public TensorTypeAnalysis performAnalysis(PropagationCallGraphBuilder builder) */ private Set getTensorTypes( PointsToSetVariable source, PropagationCallGraphBuilder builder) { - logger.info("Getting tensor types for source: " + source + "."); + logger.fine("Getting tensor types for source: " + source + "."); TensorGenerator generator = TensorGeneratorFactory.getGenerator(source); + logger.fine("Using tensor generator: " + generator + "."); Set tensorTypes = generator.getTensorTypes(builder); - logger.info(() -> "Tensor types for source: " + source + " are: " + tensorTypes + "."); + logger.fine(() -> "Found tensor types: " + tensorTypes + "."); return tensorTypes; } From 31c2acb01646308a6aa5d61624ae1243cd825a70 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 27 Oct 2025 11:39:26 -0400 Subject: [PATCH 164/253] Update test to reflect accurate tensor dimensions. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 527b77435..9ec21bca9 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -2021,7 +2021,7 @@ public void testRelu() @Test public void testTFRange() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_tf_range.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("tf2_test_tf_range.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test From c6683f2e0dca7f646d80ec500ae813e606cf0a23 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 27 Oct 2025 15:46:58 -0400 Subject: [PATCH 165/253] Fix `tf.range()`. - Actually send a literal value into the `constant` op, rather than a value number. - Update tests. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- com.ibm.wala.cast.python.ml/data/tensorflow.xml | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 9ec21bca9..4383cd0fd 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -2033,7 +2033,7 @@ public void testTFRange2() @Test public void testTFRange3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("test_tf_range.py", "f", 1, 1, Map.of(2, Set.of(MNIST_INPUT))); + test("test_tf_range.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index 9be0038a6..73d7da717 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -537,7 +537,8 @@ - + + From 48b7d767da4c8c909cd20d58ef2a7415ddd9ffbc Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 10:46:29 -0400 Subject: [PATCH 166/253] Redo number of parameters. --- com.ibm.wala.cast.python.ml.test/.classpath | 3 +- .../ibm/wala/cast/python/ml/client/Range.java | 150 ++++++------------ 2 files changed, 54 insertions(+), 99 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/.classpath b/com.ibm.wala.cast.python.ml.test/.classpath index ede87dd0e..47db47fc5 100644 --- a/com.ibm.wala.cast.python.ml.test/.classpath +++ b/com.ibm.wala.cast.python.ml.test/.classpath @@ -2,13 +2,14 @@ + - + diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 95d25e2c8..35643b144 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,13 +1,10 @@ package com.ibm.wala.cast.python.ml.client; -import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; -import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -15,12 +12,9 @@ import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; -import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; -import java.util.Iterator; import java.util.List; import java.util.Set; import java.util.logging.Logger; @@ -39,6 +33,7 @@ */ public class Range extends TensorGenerator { + @SuppressWarnings("unused") private static final Logger LOGGER = Logger.getLogger(Range.class.getName()); private static final String FUNCTION_NAME = "tf.range()"; @@ -68,98 +63,57 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Decide which version of the `range` function is being called based on the number of numeric // arguments. // TODO: Handle keyword arguments. - for (Integer numOfPoisitionArguments : getNumberOfPossiblePositionalArguments(builder)) - if (numOfPoisitionArguments == 1) { - // it must *just* be `limit`. - PointerKey limitPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); - OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - - assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - - for (InstanceKey limitIK : limitPointsToSet) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. - } - } else if (numOfPoisitionArguments == 3) { - // it must be `start`, `limit`, and `delta`. - PointerKey startPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); - PointerKey limitPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 3); - PointerKey deltaPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 4); - - OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); - OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - OrdinalSet deltaPointsToSet = pointerAnalysis.getPointsToSet(deltaPK); - - assert !startPointsToSet.isEmpty() : "Expected a non-empty points-to set for start."; - assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - assert !deltaPointsToSet.isEmpty() : "Expected a non-empty points-to set for delta."; - - for (InstanceKey startIK : startPointsToSet) { - start = ((Number) ((ConstantKey) startIK).getValue()).doubleValue(); - - for (InstanceKey limitIK : limitPointsToSet) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - - for (InstanceKey deltaIK : deltaPointsToSet) { - delta = ((Number) ((ConstantKey) deltaIK).getValue()).doubleValue(); - - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. - } - } - } - } else - throw new IllegalStateException( - "Expected either 1 or 3 positional arguments for range(), but got: " - + numOfPoisitionArguments - + "."); - - return ret; - } - - /** - * Returns the set of possible numbers of positional arguments passed to the range function at the - * call. - * - * @param builder The {@link PropagationCallGraphBuilder} used for the analysis. - * @return A set of integers representing the possible number of positional arguments. - */ - private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { - Set ret = HashSetFactory.make(); - - CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); - CallSiteReference siteReference = cs.getCallSiteRefs()[0]; + int numberOfParameters = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getNumberOfParameters() + : this.getNode().getIR().getNumberOfParameters() - 1; + + if (numberOfParameters == 1) { + // it must *just* be `limit`. + PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } + } else if (numberOfParameters == 3) { + // it must be `start`, `limit`, and `delta`. + PointerKey startPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); + PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 3); + PointerKey deltaPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 4); - for (CGNode caller : builder.getCallGraph()) { - for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { - CallSiteReference callSite = it.next(); + OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + OrdinalSet deltaPointsToSet = pointerAnalysis.getPointsToSet(deltaPK); - if (callSite.equals(siteReference)) { - // caller is the node that made the call. - LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + assert !startPointsToSet.isEmpty() : "Expected a non-empty points-to set for start."; + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + assert !deltaPointsToSet.isEmpty() : "Expected a non-empty points-to set for delta."; - SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); - LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + for (InstanceKey startIK : startPointsToSet) { + start = ((Number) ((ConstantKey) startIK).getValue()).doubleValue(); - for (SSAAbstractInvokeInstruction callInstr : calls) { - LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; - int numberOfPositionalParameters = - pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. - LOGGER.finer( - () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + for (InstanceKey deltaIK : deltaPointsToSet) { + delta = ((Number) ((ConstantKey) deltaIK).getValue()).doubleValue(); - ret.add(numberOfPositionalParameters); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. } } } - } + } else + throw new IllegalStateException( + "Expected either 1 or 3 positional arguments for range(), but got: " + + numberOfParameters + + "."); + return ret; } @@ -167,18 +121,18 @@ private Set getNumberOfPossiblePositionalArguments(PropagationCallGraph protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // The dtype of the resulting tensor is inferred from the inputs unless it is provided // explicitly. - // TODO: Handle keyword arguments. + int numberOfParameters = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getNumberOfParameters() + : this.getNode().getIR().getNumberOfParameters() - 1; + EnumSet types = - getNumberOfPossiblePositionalArguments(builder).stream() - .map( - numArgs -> - IntStream.range(0, numArgs) - .map(i -> i + 2) // Positional arguments start at index 2. - .mapToObj(val -> getDTypes(builder, val).stream()) - .flatMap(identity()) - .distinct()) + IntStream.range(0, numberOfParameters) + .map(i -> i + 2) // Positional arguments start at index 2. + .mapToObj(val -> getDTypes(builder, val).stream()) .flatMap(identity()) + .distinct() .collect(Collectors.toCollection(() -> EnumSet.noneOf(DType.class))); // FIXME: We can't tell the difference here between varying dtypes in a single call and that of From dbfad35351e570aff890711aad007473504f8288 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 10:46:53 -0400 Subject: [PATCH 167/253] Revert "Remove assertions for now." This reverts commit 41950e9caf8cd95dcbcc7562c2f472ae504f8cb3. --- com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py index 4c6c94336..195a723cb 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range.py @@ -12,6 +12,12 @@ def f(a): delta = 3 r = tf.range(start, limit, delta) +assert isinstance(r, tf.Tensor) +assert r.shape == (5,) +assert r.dtype == tf.int32 for i in r: + assert isinstance(i, tf.Tensor) + assert i.dtype == tf.int32 + assert i.shape == () f(i) From 65a947be93dce6e9e7e478c1b3c0e284eb8cf86d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 11:04:01 -0400 Subject: [PATCH 168/253] Properly get value numbers for Range parameters. --- .../ibm/wala/cast/python/ml/client/Range.java | 37 ++++++++++++++++--- 1 file changed, 32 insertions(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 35643b144..6214530fc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -70,7 +70,13 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) if (numberOfParameters == 1) { // it must *just* be `limit`. - PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); + int limitValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(0) + : this.getNode().getIR().getParameter(1); + + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; @@ -82,9 +88,29 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } } else if (numberOfParameters == 3) { // it must be `start`, `limit`, and `delta`. - PointerKey startPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 2); - PointerKey limitPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 3); - PointerKey deltaPK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), 4); + int startValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(0) + : this.getNode().getIR().getParameter(1); + + PointerKey startPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), startValueNumber); + + int limitValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(1) + : this.getNode().getIR().getParameter(2); + + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); + + int deltaValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(2) + : this.getNode().getIR().getParameter(3); + + PointerKey deltaPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), deltaValueNumber); OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); @@ -129,7 +155,8 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { EnumSet types = IntStream.range(0, numberOfParameters) - .map(i -> i + 2) // Positional arguments start at index 2. + .map(i -> this.getNode().getIR().getMethod().isStatic() ? i : i + 1) + .map(this.getNode().getIR()::getParameter) .mapToObj(val -> getDTypes(builder, val).stream()) .flatMap(identity()) .distinct() From b6066457545cb2d53689b4fd55598a472d8103c5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 11:09:32 -0400 Subject: [PATCH 169/253] Fix filename to match test name. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- .../data/{test_tf_range.py => tf2_test_tf_range3.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename com.ibm.wala.cast.python.test/data/{test_tf_range.py => tf2_test_tf_range3.py} (100%) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 4383cd0fd..5ba32da77 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -2033,7 +2033,7 @@ public void testTFRange2() @Test public void testTFRange3() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("test_tf_range.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + test("tf2_test_tf_range3.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test diff --git a/com.ibm.wala.cast.python.test/data/test_tf_range.py b/com.ibm.wala.cast.python.test/data/tf2_test_tf_range3.py similarity index 100% rename from com.ibm.wala.cast.python.test/data/test_tf_range.py rename to com.ibm.wala.cast.python.test/data/tf2_test_tf_range3.py From d1e2ec5143dfc6e0bda050b05f273a464c2a342a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 11:51:50 -0400 Subject: [PATCH 170/253] Can't use declared number of positional parameters. We need to consider the calling contexts. --- .../org.eclipse.core.resources.prefs | 2 - .../ibm/wala/cast/python/ml/client/Range.java | 191 +++++++++++------- 2 files changed, 116 insertions(+), 77 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.core.resources.prefs b/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.core.resources.prefs index 924de3b8c..05b180305 100644 --- a/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.core.resources.prefs +++ b/com.ibm.wala.cast.python.ml.test/.settings/org.eclipse.core.resources.prefs @@ -1,5 +1,3 @@ eclipse.preferences.version=1 -encoding//src/main/resources=UTF-8 -encoding//src/test/resources=UTF-8 encoding/=UTF-8 encoding/source=UTF-8 diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 6214530fc..378558824 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,10 +1,13 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; +import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -12,9 +15,12 @@ import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; +import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; +import java.util.Iterator; import java.util.List; import java.util.Set; import java.util.logging.Logger; @@ -33,7 +39,6 @@ */ public class Range extends TensorGenerator { - @SuppressWarnings("unused") private static final Logger LOGGER = Logger.getLogger(Range.class.getName()); private static final String FUNCTION_NAME = "tf.range()"; @@ -48,8 +53,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); // The shape of a range tensor is always a 1D tensor with the length equal to the number of - // elements in the range. - // For example, `tf.range(5)` produces a tensor with shape (5,). + // elements in the range. For example, `tf.range(5)` produces a tensor with shape (5,). double start = 0; // Default start value. double limit = start; // Default limit value. @@ -63,82 +67,119 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Decide which version of the `range` function is being called based on the number of numeric // arguments. // TODO: Handle keyword arguments. - int numberOfParameters = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getNumberOfParameters() - : this.getNode().getIR().getNumberOfParameters() - 1; - - if (numberOfParameters == 1) { - // it must *just* be `limit`. - int limitValueNumber = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(0) - : this.getNode().getIR().getParameter(1); - - PointerKey limitPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); - OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - - assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - - for (InstanceKey limitIK : limitPointsToSet) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. - } - } else if (numberOfParameters == 3) { - // it must be `start`, `limit`, and `delta`. - int startValueNumber = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(0) - : this.getNode().getIR().getParameter(1); + for (Integer numOfPoisitionArguments : getNumberOfPossiblePositionalArguments(builder)) + if (numOfPoisitionArguments == 1) { + // it must *just* be `limit`. + int limitValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(0) + : this.getNode().getIR().getParameter(1); - PointerKey startPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), startValueNumber); + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - int limitValueNumber = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(1) - : this.getNode().getIR().getParameter(2); + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - PointerKey limitPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } + } else if (numOfPoisitionArguments == 3) { + // it must be `start`, `limit`, and `delta`. + int startValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(0) + : this.getNode().getIR().getParameter(1); - int deltaValueNumber = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(2) - : this.getNode().getIR().getParameter(3); + PointerKey startPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), startValueNumber); - PointerKey deltaPK = - pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), deltaValueNumber); + int limitValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(1) + : this.getNode().getIR().getParameter(2); - OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); - OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); - OrdinalSet deltaPointsToSet = pointerAnalysis.getPointsToSet(deltaPK); + PointerKey limitPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), limitValueNumber); - assert !startPointsToSet.isEmpty() : "Expected a non-empty points-to set for start."; - assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; - assert !deltaPointsToSet.isEmpty() : "Expected a non-empty points-to set for delta."; + int deltaValueNumber = + this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(2) + : this.getNode().getIR().getParameter(3); - for (InstanceKey startIK : startPointsToSet) { - start = ((Number) ((ConstantKey) startIK).getValue()).doubleValue(); + PointerKey deltaPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), deltaValueNumber); - for (InstanceKey limitIK : limitPointsToSet) { - limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + OrdinalSet startPointsToSet = pointerAnalysis.getPointsToSet(startPK); + OrdinalSet limitPointsToSet = pointerAnalysis.getPointsToSet(limitPK); + OrdinalSet deltaPointsToSet = pointerAnalysis.getPointsToSet(deltaPK); + + assert !startPointsToSet.isEmpty() : "Expected a non-empty points-to set for start."; + assert !limitPointsToSet.isEmpty() : "Expected a non-empty points-to set for limit."; + assert !deltaPointsToSet.isEmpty() : "Expected a non-empty points-to set for delta."; + + for (InstanceKey startIK : startPointsToSet) { + start = ((Number) ((ConstantKey) startIK).getValue()).doubleValue(); + + for (InstanceKey limitIK : limitPointsToSet) { + limit = ((Number) ((ConstantKey) limitIK).getValue()).doubleValue(); + + for (InstanceKey deltaIK : deltaPointsToSet) { + delta = ((Number) ((ConstantKey) deltaIK).getValue()).doubleValue(); + + int shape = (int) Math.ceil((limit - start) / delta); + ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + } + } + } + } else + throw new IllegalStateException( + "Expected either 1 or 3 positional arguments for range(), but got: " + + numOfPoisitionArguments + + "."); + + return ret; + } + + /** + * Returns the set of possible numbers of positional arguments passed to the range function at the + * call. + * + * @param builder The {@link PropagationCallGraphBuilder} used for the analysis. + * @return A set of integers representing the possible number of positional arguments. + */ + private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { + Set ret = HashSetFactory.make(); + + CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); + CallSiteReference siteReference = cs.getCallSiteRefs()[0]; - for (InstanceKey deltaIK : deltaPointsToSet) { - delta = ((Number) ((ConstantKey) deltaIK).getValue()).doubleValue(); + for (CGNode caller : builder.getCallGraph()) + for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { + CallSiteReference callSite = it.next(); - int shape = (int) Math.ceil((limit - start) / delta); - ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. + if (callSite.equals(siteReference)) { + // caller is the node that made the call. + LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + + ret.add(numberOfPositionalParameters); } } } - } else - throw new IllegalStateException( - "Expected either 1 or 3 positional arguments for range(), but got: " - + numberOfParameters - + "."); return ret; } @@ -147,19 +188,19 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // The dtype of the resulting tensor is inferred from the inputs unless it is provided // explicitly. - // TODO: Handle keyword arguments. - int numberOfParameters = - this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getNumberOfParameters() - : this.getNode().getIR().getNumberOfParameters() - 1; + // TODO: Handle keyword arguments. EnumSet types = - IntStream.range(0, numberOfParameters) - .map(i -> this.getNode().getIR().getMethod().isStatic() ? i : i + 1) - .map(this.getNode().getIR()::getParameter) - .mapToObj(val -> getDTypes(builder, val).stream()) + getNumberOfPossiblePositionalArguments(builder).stream() + .map( + numArgs -> + IntStream.range(0, numArgs) + .map(i -> this.getNode().getIR().getMethod().isStatic() ? i : i + 1) + .map(this.getNode().getIR()::getParameter) + .mapToObj(val -> getDTypes(builder, val).stream()) + .flatMap(identity()) + .distinct()) .flatMap(identity()) - .distinct() .collect(Collectors.toCollection(() -> EnumSet.noneOf(DType.class))); // FIXME: We can't tell the difference here between varying dtypes in a single call and that of From 8dda0293cafb6e0feac25d1862a291f3a5574a32 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 12:51:51 -0400 Subject: [PATCH 171/253] Add defensive code. --- .../source/com/ibm/wala/cast/python/ml/client/Range.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 378558824..d1a646e22 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -86,7 +86,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) int shape = (int) Math.ceil((limit - start) / delta); ret.add(List.of(new NumericDim(shape))); // Add the shape as a 1D tensor. } - } else if (numOfPoisitionArguments == 3) { + } else if (numOfPoisitionArguments >= 3) { // it must be `start`, `limit`, and `delta`. int startValueNumber = this.getNode().getMethod().isStatic() @@ -136,7 +136,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } } else throw new IllegalStateException( - "Expected either 1 or 3 positional arguments for range(), but got: " + "Expected either 1 or >= 3 positional arguments for range(), but got: " + numOfPoisitionArguments + "."); @@ -195,6 +195,7 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { .map( numArgs -> IntStream.range(0, numArgs) + .filter(i -> i < 3) // only numeric arguments. .map(i -> this.getNode().getIR().getMethod().isStatic() ? i : i + 1) .map(this.getNode().getIR()::getParameter) .mapToObj(val -> getDTypes(builder, val).stream()) From 36ecadf6d14dce5052255aaf636b7f01e4ba7d69 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 12:59:46 -0400 Subject: [PATCH 172/253] Add comment. --- com.ibm.wala.cast.python.ml/data/tensorflow.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml index cf44ca474..68b4755cb 100644 --- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml +++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml @@ -537,7 +537,7 @@ - + From b5c41d5922f8b55f8efa00e6e57ee4eb3c30df98 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 13:25:47 -0400 Subject: [PATCH 173/253] Improve the code? --- .../ibm/wala/cast/python/ml/client/Range.java | 42 +++++++++---------- 1 file changed, 20 insertions(+), 22 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index d1a646e22..561945787 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,6 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; @@ -9,13 +8,13 @@ import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.CallGraph; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; @@ -152,34 +151,33 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) */ private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { Set ret = HashSetFactory.make(); + CallGraph callGraph = builder.getCallGraph(); - CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); - CallSiteReference siteReference = cs.getCallSiteRefs()[0]; + for (Iterator pIt = callGraph.getPredNodes(this.getNode()); pIt.hasNext(); ) { + CGNode caller = pIt.next(); - for (CGNode caller : builder.getCallGraph()) - for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { - CallSiteReference callSite = it.next(); + for (Iterator cIt = callGraph.getPossibleSites(caller, this.getNode()); + cIt.hasNext(); ) { + CallSiteReference callSite = cIt.next(); + // caller is the node that made the call. + LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); - if (callSite.equals(siteReference)) { - // caller is the node that made the call. - LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); - SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); - LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); - for (SSAAbstractInvokeInstruction callInstr : calls) { - LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); - PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; - int numberOfPositionalParameters = - pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. - LOGGER.finer( - () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); - - ret.add(numberOfPositionalParameters); - } + ret.add(numberOfPositionalParameters); } } + } return ret; } From 98c0fea7bea74b4f833c321c28998cf30c5ced23 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 13:36:08 -0400 Subject: [PATCH 174/253] Revert "Improve the code?" This reverts commit b5c41d5922f8b55f8efa00e6e57ee4eb3c30df98. --- .../ibm/wala/cast/python/ml/client/Range.java | 42 ++++++++++--------- 1 file changed, 22 insertions(+), 20 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 561945787..d1a646e22 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,5 +1,6 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; @@ -8,13 +9,13 @@ import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.CallGraph; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; @@ -151,33 +152,34 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) */ private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { Set ret = HashSetFactory.make(); - CallGraph callGraph = builder.getCallGraph(); - for (Iterator pIt = callGraph.getPredNodes(this.getNode()); pIt.hasNext(); ) { - CGNode caller = pIt.next(); + CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); + CallSiteReference siteReference = cs.getCallSiteRefs()[0]; - for (Iterator cIt = callGraph.getPossibleSites(caller, this.getNode()); - cIt.hasNext(); ) { - CallSiteReference callSite = cIt.next(); - // caller is the node that made the call. - LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + for (CGNode caller : builder.getCallGraph()) + for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { + CallSiteReference callSite = it.next(); - SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); - LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + if (callSite.equals(siteReference)) { + // caller is the node that made the call. + LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); - for (SSAAbstractInvokeInstruction callInstr : calls) { - LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); - PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; - int numberOfPositionalParameters = - pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. - LOGGER.finer( - () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); - ret.add(numberOfPositionalParameters); + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + + ret.add(numberOfPositionalParameters); + } } } - } return ret; } From daf06461b359c9e45b80bfdf9a0bed47f23b8b2e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 28 Oct 2025 13:46:33 -0400 Subject: [PATCH 175/253] Improve code for analyzing call sites. We should consider the context. --- .../ibm/wala/cast/python/ml/client/Range.java | 35 +++++++++---------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index d1a646e22..2ec04dfef 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -155,31 +155,28 @@ private Set getNumberOfPossiblePositionalArguments(PropagationCallGraph CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); CallSiteReference siteReference = cs.getCallSiteRefs()[0]; + LOGGER.fine(() -> "Analyzing call site: " + siteReference + "."); - for (CGNode caller : builder.getCallGraph()) - for (Iterator it = caller.getIR().iterateCallSites(); it.hasNext(); ) { - CallSiteReference callSite = it.next(); + for (Iterator it = builder.getCallGraph().getPredNodes(this.getNode()); + it.hasNext(); ) { + CGNode caller = it.next(); + LOGGER.fine(() -> "Analyzing caller node: " + caller.getMethod().getSignature() + "."); - if (callSite.equals(siteReference)) { - // caller is the node that made the call. - LOGGER.finest(() -> "Caller node: " + caller.getMethod().getSignature() + "."); + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(siteReference); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); - SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(callSite); - LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); - for (SSAAbstractInvokeInstruction callInstr : calls) { - LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); - PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; - int numberOfPositionalParameters = - pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. - LOGGER.finer( - () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); - - ret.add(numberOfPositionalParameters); - } - } + ret.add(numberOfPositionalParameters); } + } return ret; } From 9a3977b256b7b728dcc21e430bcbd5fd2317f225 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 30 Oct 2025 16:00:25 -0400 Subject: [PATCH 176/253] Lookup the value numbers of the parameters. Lookup the value numbers of the parameters based on their positions rather than hard-coding them. This change ensures that the correct parameters are accessed regardless of whether the method is static or instance-based. --- .../wala/cast/python/ml/client/Constant.java | 18 ++++++++++++------ .../ibm/wala/cast/python/ml/client/Fill.java | 12 ++++++++---- .../ibm/wala/cast/python/ml/client/Ones.java | 12 ++++++++---- .../wala/cast/python/ml/client/Uniform.java | 6 ++++-- 4 files changed, 32 insertions(+), 16 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index aef930dc1..81271acce 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -19,11 +19,11 @@ public class Constant extends TensorGenerator { private static final String FUNCTION_NAME = "tf.constant()"; - private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 2; + private static final int VALUE_PARAMETER_POSITION = 0; - private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; + private static final int DTYPE_PARAMETER_POSITION = 1; - private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 4; + private static final int SHAPE_PARAMETER_POSITION = 2; public Constant(PointsToSetVariable source, CGNode node) { super(source, node); @@ -45,11 +45,15 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { @Override protected int getValueNumberForDTypeArgument() { - return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); } protected int getValueNumberForValueArgument() { - return VALUE_NUMBER_FOR_VALUE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION + 1); } @Override @@ -57,7 +61,9 @@ protected int getValueNumberForShapeArgument() { // Shapes can also be specified as an explicit argument. Here, we examine the third explicit // argument (recall that the first argument is implicit and corresponds to the called // function's name). - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index ac09008b2..f1247bb11 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -17,9 +17,9 @@ public class Fill extends Constant { private static final String FUNCTION_NAME = "tf.fill()"; - private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; + private static final int SHAPE_PARAMETER_POSITION = 0; - private static final int VALUE_NUMBER_FOR_VALUE_ARGUMENT = 3; + private static final int VALUE_PARAMETER_POSITION = 1; /** * The dtype argument is not explicitly provided to fill(); rather, the dtype is inferred from the @@ -38,12 +38,16 @@ protected int getValueNumberForDTypeArgument() { @Override protected int getValueNumberForValueArgument() { - return VALUE_NUMBER_FOR_VALUE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION + 1); } @Override protected int getValueNumberForShapeArgument() { - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 7346a9196..41cdf63eb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -24,9 +24,9 @@ public class Ones extends TensorGenerator { private static final String FUNCTION_NAME = "tf.ones()"; - private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = 2; + private static final int SHAPE_PARAMETER_POSITION = 0; - private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 3; + private static final int DTYPE_PARAMETER_POSITION = 1; public Ones(PointsToSetVariable source, CGNode node) { super(source, node); @@ -48,12 +48,16 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b @Override protected int getValueNumberForShapeArgument() { - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); } @Override protected int getValueNumberForDTypeArgument() { - return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index 02c848dd6..2d3490c0f 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -14,7 +14,7 @@ public class Uniform extends Ones { private static final String FUNCTION_NAME = "tf.random.uniform()"; - private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = 5; + private static final int DTYPE_PARAMETER_POSITION = 3; public Uniform(PointsToSetVariable source, CGNode node) { super(source, node); @@ -22,7 +22,9 @@ public Uniform(PointsToSetVariable source, CGNode node) { @Override protected int getValueNumberForDTypeArgument() { - return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); } @Override From dcd3d804c3c09af52f40f00952d4fbdc249ce99b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 30 Oct 2025 16:02:08 -0400 Subject: [PATCH 177/253] Format. --- .../source/com/ibm/wala/cast/python/ml/client/Uniform.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index 2d3490c0f..1ef92ee74 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -23,8 +23,8 @@ public Uniform(PointsToSetVariable source, CGNode node) { @Override protected int getValueNumberForDTypeArgument() { return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); + ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) + : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); } @Override From 2becd4758351dee546421faf707cfa479aadeedf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 30 Oct 2025 16:02:17 -0400 Subject: [PATCH 178/253] Remove TODO. --- .../com/ibm/wala/cast/python/ml/client/TruncatedNormal.java | 1 - 1 file changed, 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java index 52ebef56e..f2a70378c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java @@ -17,7 +17,6 @@ public class TruncatedNormal extends Normal { public TruncatedNormal(PointsToSetVariable source, CGNode node) { super(source, node); - // TODO Auto-generated constructor stub } @Override From 4b3d3fab08c958873d9f79d22082025290ff81ff Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 30 Oct 2025 17:26:07 -0400 Subject: [PATCH 179/253] Extract method refactoring. Extract method refactoring to `getValueNumberForArgument` in `TensorGenerator.java` to avoid code duplication when getting value numbers for arguments based on their parameter positions. --- .../wala/cast/python/ml/client/Constant.java | 31 ++++++++----------- .../ibm/wala/cast/python/ml/client/Fill.java | 12 +++---- .../ibm/wala/cast/python/ml/client/Ones.java | 16 ++++------ .../ibm/wala/cast/python/ml/client/Range.java | 4 +-- .../python/ml/client/TensorGenerator.java | 20 ++++++++++-- .../wala/cast/python/ml/client/Uniform.java | 6 ++-- 6 files changed, 45 insertions(+), 44 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 81271acce..e7d17d526 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -43,31 +43,26 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { return getDTypes(builder, this.getValueNumberForValueArgument()); } - @Override - protected int getValueNumberForDTypeArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); - } - protected int getValueNumberForValueArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION + 1); + return getValueNumberForArgument(this.getValueParameterPosition()); } - @Override - protected int getValueNumberForShapeArgument() { - // Shapes can also be specified as an explicit argument. Here, we examine the third explicit - // argument (recall that the first argument is implicit and corresponds to the called - // function's name). - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); + protected int getValueParameterPosition() { + return VALUE_PARAMETER_POSITION; } @Override protected String getSignature() { return FUNCTION_NAME; } + + @Override + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE_PARAMETER_POSITION; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index f1247bb11..9e7e97030 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -37,17 +37,13 @@ protected int getValueNumberForDTypeArgument() { } @Override - protected int getValueNumberForValueArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(VALUE_PARAMETER_POSITION + 1); + protected int getValueParameterPosition() { + return VALUE_PARAMETER_POSITION; } @Override - protected int getValueNumberForShapeArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 41cdf63eb..ae9b09f58 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -47,21 +47,17 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b } @Override - protected int getValueNumberForShapeArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(SHAPE_PARAMETER_POSITION + 1); + protected String getSignature() { + return FUNCTION_NAME; } @Override - protected int getValueNumberForDTypeArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; } @Override - protected String getSignature() { - return FUNCTION_NAME; + protected int getDTypeParameterPosition() { + return DTYPE_PARAMETER_POSITION; } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 2ec04dfef..b59ab39f5 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -222,13 +222,13 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b } @Override - protected int getValueNumberForShapeArgument() { + protected int getShapeParameterPosition() { throw new UnsupportedOperationException( "Range does not have a shape argument. Its shape is derived from the numeric arguments."); } @Override - protected int getValueNumberForDTypeArgument() { + protected int getDTypeParameterPosition() { // TODO: We need a value number for the dtype argument. Also, that value number can differ // depending on the version of the `range` function being called. diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ddbcb71c1..9d33ed444 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -218,7 +218,11 @@ protected Set>> getShapesFromShapeArgument( * @return The value number for the shape argument in the function call. May return a number less * than or equal to 0 if there is no shape parameter. */ - protected abstract int getValueNumberForShapeArgument(); + protected int getValueNumberForShapeArgument() { + return this.getValueNumberForArgument(this.getShapeParameterPosition()); + } + + protected abstract int getShapeParameterPosition(); /** * Returns the possible shapes of the tensor returned by this generator. @@ -452,7 +456,11 @@ protected EnumSet getDTypesFromDTypeArgument( * @return The value number for the dtype argument in the function call or -1 if the dtype * argument is not supported. */ - protected abstract int getValueNumberForDTypeArgument(); + protected int getValueNumberForDTypeArgument() { + return this.getValueNumberForArgument(this.getDTypeParameterPosition()); + } + + protected abstract int getDTypeParameterPosition(); protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -601,4 +609,12 @@ public String toString() { * @return The TensorFlow function signature represented by this generator. */ protected abstract String getSignature(); + + protected int getValueNumberForArgument(int parameterPosition) { + if (parameterPosition < 0) return -1; // No such argument. + + return this.getNode().getMethod().isStatic() + ? this.getNode().getIR().getParameter(parameterPosition) + : this.getNode().getIR().getParameter(parameterPosition + 1); + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index 1ef92ee74..a202f5693 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -21,10 +21,8 @@ public Uniform(PointsToSetVariable source, CGNode node) { } @Override - protected int getValueNumberForDTypeArgument() { - return this.getNode().getMethod().isStatic() - ? this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION) - : this.getNode().getIR().getParameter(DTYPE_PARAMETER_POSITION + 1); + protected int getDTypeParameterPosition() { + return DTYPE_PARAMETER_POSITION; } @Override From 4408264af63ae1417e092666a10948fa8dbfdedd Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 30 Oct 2025 17:32:22 -0400 Subject: [PATCH 180/253] Rename methods for clarification. Rename methods to clarify that they return the value number for the argument, not the argument itself. --- .../ibm/wala/cast/python/ml/client/Constant.java | 8 ++++---- .../com/ibm/wala/cast/python/ml/client/Fill.java | 2 +- .../cast/python/ml/client/TensorGenerator.java | 14 +++++++------- .../ibm/wala/cast/python/ml/client/ZerosLike.java | 2 +- 4 files changed, 13 insertions(+), 13 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index e7d17d526..73ec61f69 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -33,18 +33,18 @@ public Constant(PointsToSetVariable source, CGNode node) { protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { // If the shape argument is not specified, then the shape is inferred from the shape of value. // TODO: Handle keyword arguments. - return getShapes(builder, this.getValueNumberForValueArgument()); + return getShapes(builder, this.getValueArgumentValueNumber()); } @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // If the dtype argument is not specified, then the type is inferred from the type of value. // TODO: Handle keyword arguments. - return getDTypes(builder, this.getValueNumberForValueArgument()); + return getDTypes(builder, this.getValueArgumentValueNumber()); } - protected int getValueNumberForValueArgument() { - return getValueNumberForArgument(this.getValueParameterPosition()); + protected int getValueArgumentValueNumber() { + return getArgumentValueNumber(this.getValueParameterPosition()); } protected int getValueParameterPosition() { diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index 9e7e97030..6982f83a0 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -32,7 +32,7 @@ public Fill(PointsToSetVariable source, CGNode node) { } @Override - protected int getValueNumberForDTypeArgument() { + protected int getDTypeArgumentValueNumber() { return VALUE_NUMBER_FOR_DTYPE_ARGUMENT; } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 9d33ed444..4d2ba2c75 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -218,8 +218,8 @@ protected Set>> getShapesFromShapeArgument( * @return The value number for the shape argument in the function call. May return a number less * than or equal to 0 if there is no shape parameter. */ - protected int getValueNumberForShapeArgument() { - return this.getValueNumberForArgument(this.getShapeParameterPosition()); + protected int getShapeArgumentValueNumber() { + return this.getArgumentValueNumber(this.getShapeParameterPosition()); } protected abstract int getShapeParameterPosition(); @@ -235,7 +235,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) // Get the shape from the explicit argument. // FIXME: Handle keyword arguments. - int shapeArgValueNum = this.getValueNumberForShapeArgument(); + int shapeArgValueNum = this.getShapeArgumentValueNumber(); OrdinalSet pointsToSet = null; if (shapeArgValueNum > 0) { @@ -456,8 +456,8 @@ protected EnumSet getDTypesFromDTypeArgument( * @return The value number for the dtype argument in the function call or -1 if the dtype * argument is not supported. */ - protected int getValueNumberForDTypeArgument() { - return this.getValueNumberForArgument(this.getDTypeParameterPosition()); + protected int getDTypeArgumentValueNumber() { + return this.getArgumentValueNumber(this.getDTypeParameterPosition()); } protected abstract int getDTypeParameterPosition(); @@ -465,7 +465,7 @@ protected int getValueNumberForDTypeArgument() { protected EnumSet getDTypes(PropagationCallGraphBuilder builder) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - int valNum = this.getValueNumberForDTypeArgument(); + int valNum = this.getDTypeArgumentValueNumber(); OrdinalSet pointsToSet = null; if (valNum > 0) { @@ -610,7 +610,7 @@ public String toString() { */ protected abstract String getSignature(); - protected int getValueNumberForArgument(int parameterPosition) { + protected int getArgumentValueNumber(int parameterPosition) { if (parameterPosition < 0) return -1; // No such argument. return this.getNode().getMethod().isStatic() diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java index ac6c0e856..e3a4b6487 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -25,7 +25,7 @@ public ZerosLike(PointsToSetVariable source, CGNode node) { } @Override - protected int getValueNumberForShapeArgument() { + protected int getShapeArgumentValueNumber() { return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; } From 99133162e82d9ea0a01db7cc6142ca796c11f9cf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 31 Oct 2025 16:09:43 -0400 Subject: [PATCH 181/253] Progress on handling `tf.convert_to_tensor()` API in TensorFlow. --- .../python/ml/test/TensorFlowTypesTest.java | 37 +++++++ .../python/ml/test/TestTensorflow2Model.java | 80 +++++++++++++- .../python/ml/client/ConvertToTensor.java | 100 ++++++++++++++++++ .../python/ml/client/TensorGenerator.java | 17 ++- .../ml/client/TensorGeneratorFactory.java | 3 + .../cast/python/ml/types/TensorFlowTypes.java | 40 ++++++- .../data/tf2_test_add36.py | 6 +- .../data/tf2_test_convert_to_tensor.py | 13 +++ .../data/tf2_test_convert_to_tensor10.py | 17 +++ .../data/tf2_test_convert_to_tensor11.py | 17 +++ .../data/tf2_test_convert_to_tensor2.py | 13 +++ .../data/tf2_test_convert_to_tensor3.py | 13 +++ .../data/tf2_test_convert_to_tensor4.py | 13 +++ .../data/tf2_test_convert_to_tensor5.py | 13 +++ .../data/tf2_test_convert_to_tensor6.py | 13 +++ .../data/tf2_test_convert_to_tensor7.py | 13 +++ .../data/tf2_test_convert_to_tensor8.py | 13 +++ .../data/tf2_test_convert_to_tensor9.py | 13 +++ 18 files changed, 424 insertions(+), 10 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TensorFlowTypesTest.java create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor10.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor11.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor5.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor6.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor7.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor8.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor9.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TensorFlowTypesTest.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TensorFlowTypesTest.java new file mode 100644 index 000000000..d0f7d24e8 --- /dev/null +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TensorFlowTypesTest.java @@ -0,0 +1,37 @@ +package com.ibm.wala.cast.python.ml.test; + +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT64; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT64; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; +import static org.junit.Assert.*; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import org.junit.Test; + +public class TensorFlowTypesTest { + + @Test + public void testCanConvertTo() { + assertTrue(FLOAT32.canConvertTo(FLOAT32)); + assertTrue(FLOAT32.canConvertTo(FLOAT64)); + assertFalse(FLOAT64.canConvertTo(FLOAT32)); + assertFalse(FLOAT64.canConvertTo(DType.STRING)); + assertFalse(STRING.canConvertTo(FLOAT32)); + assertTrue(STRING.canConvertTo(DType.STRING)); + assertTrue(INT32.canConvertTo(DType.INT32)); + assertTrue(INT32.canConvertTo(DType.FLOAT32)); + assertFalse(INT32.canConvertTo(DType.STRING)); + assertFalse(STRING.canConvertTo(DType.INT32)); + assertTrue(INT64.canConvertTo(DType.FLOAT64)); + assertFalse(INT64.canConvertTo(DType.FLOAT32)); + assertFalse(INT64.canConvertTo(DType.INT32)); + assertTrue(INT32.canConvertTo(DType.INT64)); + assertTrue(FLOAT64.canConvertTo(DType.FLOAT64)); + assertFalse(FLOAT32.canConvertTo(DType.INT32)); + assertTrue(FLOAT32.canConvertTo(DType.FLOAT32)); + assertFalse(FLOAT64.canConvertTo(DType.INT64)); + assertFalse(FLOAT64.canConvertTo(DType.INT32)); + } +} diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 5ba32da77..474d0f31e 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1316,13 +1316,23 @@ public void testAdd35() @Test public void testAdd36() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add36.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add36.py", + "add", + 2, + 2, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32), 3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test public void testAdd37() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add37.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add37.py", + "add", + 2, + 2, + Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32), 3, Set.of(SCALAR_TENSOR_OF_INT32))); } @Test @@ -4094,6 +4104,72 @@ public void testReshape5() throws ClassHierarchyException, CancelException, IOEx test("tf2_test_reshape5.py", "f", 1, 1, Map.of(2, Set.of(expectedType))); } + @Test + public void testConvertToTensor() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); + } + + @Test + public void testConvertToTensor2() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + + @Test + public void testConvertToTensor3() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + + @Test + public void testConvertToTensor4() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); + } + + @Test + public void testConvertToTensor5() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); + } + + @Test + public void testConvertToTensor6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + + @Test + public void testConvertToTensor7() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor7.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + + @Test + public void testConvertToTensor8() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor8.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32))); + } + + @Test + public void testConvertToTensor9() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor9.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + + @Test + public void testConvertToTensor10() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor10.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32))); + } + + @Test + public void testConvertToTensor11() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java new file mode 100644 index 000000000..ec40f0901 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java @@ -0,0 +1,100 @@ +package com.ibm.wala.cast.python.ml.client; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.EnumSet; + +/** + * A representation of the `tf.convert_to_tensor()` API in TensorFlow. + * + *

This function converts Python objects of various types to Tensor objects. It accepts Tensor + * objects, numpy arrays, Python lists, and Python scalars. + * + * @author Raffi Khatchadourian + * @see tf.convert_to_tensor + * API. + */ +public class ConvertToTensor extends ZerosLike { + + private static final String FUNCTION_NAME = "tf.convert_to_tensor()"; + + /** + * Optional element type for the returned tensor, used when dtype is None + * . + * + *

Need to consider this when inferring default dtypes. + * + * @see + * dtype_hint parameter. + */ + private static final int DTYPE_HINT_PARAMETER_POSITION = 2; + + @Override + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + // If the dtype argument is not specified, then the type is inferred from the type of value, + // unless dtype_hint is provided. + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + int valNum = this.getDTypeHintArgumentValueNumber(); + OrdinalSet pointsToSet = null; + + if (valNum > 0) { + // The dtype hint is in an explicit argument. + // FIXME: Handle keyword arguments. + PointerKey pointerKey = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valNum); + pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + } + + EnumSet defaultDTypes = super.getDefaultDTypes(builder); + + // If the argument dtype hint is not specified. + if (pointsToSet == null || pointsToSet.isEmpty()) return defaultDTypes; + else { + // The dtype points-to set is non-empty, meaning that the dtype hint was explicitly set. + // If the conversion to dtype_hint is not possible, this argument has no effect. + + // Get the dtypes from the points-to set. + EnumSet dTypesFromDTypeHintArgument = getDTypesFromDTypeArgument(builder, pointsToSet); + + // for each possible dtype from dtype hint, check if it is compatible with default dtypes. + EnumSet compatibleDTypes = EnumSet.noneOf(DType.class); + + for (DType dTypeFromDTypeHint : dTypesFromDTypeHintArgument) + for (DType defaultDType : defaultDTypes) + if (defaultDType.canConvertTo(dTypeFromDTypeHint)) + compatibleDTypes.add(dTypeFromDTypeHint); + + if (!compatibleDTypes.isEmpty()) return compatibleDTypes; + else + // No compatible dtypes found, return the default dtypes. + return defaultDTypes; + } + } + + public ConvertToTensor(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + /** + * Returns the value number for the dtype hint argument in the function call. + * + * @return The value number for the dtype hint argument in the function call or -1 if the dtype + * hint argument is not supported. + */ + protected int getDTypeHintArgumentValueNumber() { + return this.getArgumentValueNumber(DTYPE_HINT_PARAMETER_POSITION); + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 4d2ba2c75..ada7a7a15 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -6,6 +6,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; import static com.ibm.wala.cast.python.types.PythonTypes.list; +import static com.ibm.wala.cast.python.types.PythonTypes.tuple; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; @@ -286,7 +287,7 @@ else if (valueIK instanceof AllocationSiteInNode) { AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); - if (reference.equals(list)) { + if (reference.equals(list) || reference.equals(tuple)) { OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet( ((AstPointerKeyFactory) builder.getPointerKeyFactory()) @@ -352,6 +353,18 @@ protected EnumSet getDTypesFromDTypeArgument( PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); for (InstanceKey instanceKey : pointsToSet) { + // First, check for `None`. + if (instanceKey instanceof ConstantKey) { + ConstantKey constantKey = (ConstantKey) instanceKey; + Object value = constantKey.getValue(); + + if (value == null) { + LOGGER.info( + "DType argument is None for source: " + source + "; using default dtypes." + "."); + return getDefaultDTypes(builder); + } + } + IClass concreteType = instanceKey.getConcreteType(); TypeReference typeReference = concreteType.getReference(); @@ -551,7 +564,7 @@ private EnumSet getDTypesOfValue( AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); - if (reference.equals(list)) { + if (reference.equals(list) || reference.equals(tuple)) { OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet( ((AstPointerKeyFactory) builder.getPointerKeyFactory()) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 780b5b2ef..73e55f515 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -1,6 +1,7 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONSTANT; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONVERT_TO_TENSOR; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; @@ -47,6 +48,8 @@ else if (calledFunction.equals(TRUNCATED_NORMAL.getDeclaringClass())) else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) return new ZerosLike(source, node); else if (calledFunction.equals(FILL.getDeclaringClass())) return new Fill(source, node); + else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) + return new ConvertToTensor(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index c17deb491..eb2e9be7a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -27,11 +27,33 @@ public class TensorFlowTypes extends PythonTypes { * dtypes. */ public enum DType { - FLOAT32, - FLOAT64, - INT32, - INT64, - STRING; + FLOAT32(true, true, 32), + FLOAT64(true, true, 64), + INT32(true, false, 32), + INT64(true, false, 64), + STRING(false, false, 0); + + private boolean numeric; + + private boolean floatingPoint; + + private int precision; + + DType(boolean numeric, boolean floatingPoint, int precision) { + this.numeric = numeric; + this.floatingPoint = floatingPoint; + this.precision = precision; + } + + public boolean canConvertTo(DType other) { + if (other == null) return false; + + if (!this.numeric || !other.numeric) return this == other; + + if (this.floatingPoint && !other.floatingPoint) return false; + + return this.precision <= other.precision; + } } public static final TypeReference TENSORFLOW = @@ -113,6 +135,14 @@ public enum DType { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/fill")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/convert_to_tensor. */ + public static final MethodReference CONVERT_TO_TENSOR = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/convert_to_tensor")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add36.py b/com.ibm.wala.cast.python.test/data/tf2_test_add36.py index 9c27a6268..f94ed51c3 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add36.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add36.py @@ -5,4 +5,8 @@ def add(a, b): return a + b -c = add(tf.convert_to_tensor(1), tf.convert_to_tensor(2)) +arg = tf.convert_to_tensor(1) +assert arg.shape == () +assert arg.dtype == tf.int32 + +c = add(arg, tf.convert_to_tensor(2)) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor.py new file mode 100644 index 000000000..8af4e74c1 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +y = tf.convert_to_tensor(1) +assert isinstance(y, tf.Tensor) +assert y.dtype == tf.int32 +assert y.shape == () + +f(y) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor10.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor10.py new file mode 100644 index 000000000..d3af7942f --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor10.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg = [1, 2, 3, 4, 5] +assert all(isinstance(i, int) for i in arg) +assert isinstance(arg, list) + +x = tf.convert_to_tensor(arg, None, tf.float32) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.float32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor11.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor11.py new file mode 100644 index 000000000..99312f5c1 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor11.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg = [1.0, 2.0, 3.0, 4.0, 5.0] +assert all(isinstance(i, float) for i in arg) +assert isinstance(arg, list) + +x = tf.convert_to_tensor(arg, None, tf.int32) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.float32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor2.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor2.py new file mode 100644 index 000000000..39cce14bd --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor2.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor([1, 2, 3, 4, 5]) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.int32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor3.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor3.py new file mode 100644 index 000000000..c3d3b4cb6 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor3.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor((1, 2, 3, 4, 5)) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.int32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor4.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor4.py new file mode 100644 index 000000000..0939429e6 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor4.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor([[1.0, 2.0], [3.0, 4.0]]) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.float32 +assert x.shape == (2, 2) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor5.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor5.py new file mode 100644 index 000000000..58d1016dc --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor5.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor(tf.constant([[1.0, 2.0], [3.0, 4.0]])) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.float32 +assert x.shape == (2, 2) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor6.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor6.py new file mode 100644 index 000000000..680288e57 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor6.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor(tf.constant([1, 2, 3, 4, 5])) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.int32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor7.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor7.py new file mode 100644 index 000000000..bed1cdcb8 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor7.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor([1, 2, 3, 4, 5], tf.int32) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.int32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor8.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor8.py new file mode 100644 index 000000000..b63019acd --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor8.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor([1, 2, 3, 4, 5], tf.float32) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.float32 +assert x.shape == (5,) + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor9.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor9.py new file mode 100644 index 000000000..35ed5cb23 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor9.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +x = tf.convert_to_tensor([1, 2, 3, 4, 5], None, tf.int32) +assert isinstance(x, tf.Tensor) +assert x.dtype == tf.int32 +assert x.shape == (5,) + +f(x) From 669a7752ceb9260917cf71ddebdc1d73a5557d6d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 3 Nov 2025 12:59:25 -0500 Subject: [PATCH 182/253] If tensor shapes are coming from a variable, make sure we know about it. --- .../python/ml/test/TestTensorflow2Model.java | 10 +++++-- .../python/ml/client/TensorGenerator.java | 26 +++++++++++++++++++ 2 files changed, 34 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 474d0f31e..ceaf80d35 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4128,13 +4128,19 @@ public void testConvertToTensor4() test("tf2_test_convert_to_tensor4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } - @Test + /** + * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) public void testConvertToTensor5() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_convert_to_tensor5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } - @Test + /** + * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) public void testConvertToTensor6() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { test("tf2_test_convert_to_tensor6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ada7a7a15..ad1c7b3f0 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -88,6 +88,10 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { */ protected Set>> getShapesFromShapeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { + if (pointsToSet == null || !pointsToSet.iterator().hasNext()) + throw new IllegalArgumentException( + "Empty points-to set for shape argument in source: " + source + "."); + Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -266,6 +270,11 @@ protected Set>> getShapes( PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); + + if (valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value number: " + valueNumber + " in: " + this.getNode() + "."); + return getShapesOfValue(builder, valuePointsToSet); } @@ -278,6 +287,10 @@ protected Set>> getShapes( */ private Set>> getShapesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + if (valuePointsToSet == null || valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value in source: " + source + "."); + Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -349,6 +362,10 @@ else if (valueIK instanceof AllocationSiteInNode) { */ protected EnumSet getDTypesFromDTypeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { + if (pointsToSet == null || !pointsToSet.iterator().hasNext()) + throw new IllegalArgumentException( + "Empty points-to set for dtype argument in source: " + source + "."); + EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -509,6 +526,11 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valu PointerKey valuePK = pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); + + if (valuePointsToSet == null || valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value number: " + valueNumber + " in: " + this.getNode() + "."); + return getDTypesOfValue(builder, valuePointsToSet); } @@ -522,6 +544,10 @@ protected EnumSet getDTypes(PropagationCallGraphBuilder builder, int valu */ private EnumSet getDTypesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + if (valuePointsToSet == null || valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value in source: " + source + "."); + EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); From fe446d41a3b51e9a50f878c439c5705b17de766c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 3 Nov 2025 13:51:19 -0500 Subject: [PATCH 183/253] Spotless. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index ceaf80d35..04766a098 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4129,7 +4129,8 @@ public void testConvertToTensor4() } /** - * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 is fixed. + * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 + * is fixed. */ @Test(expected = IllegalArgumentException.class) public void testConvertToTensor5() @@ -4138,7 +4139,8 @@ public void testConvertToTensor5() } /** - * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 is fixed. + * Should not throw an {@link IllegalArgumentException} once https://github.com/wala/ML/issues/340 + * is fixed. */ @Test(expected = IllegalArgumentException.class) public void testConvertToTensor6() From 73226164bb4b642cf8a8694cf279532330c2af2b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 3 Nov 2025 14:07:09 -0500 Subject: [PATCH 184/253] Add javadoc to `Fill.java`. Explain the `tf.fill()` function. --- .../source/com/ibm/wala/cast/python/ml/client/Fill.java | 3 +++ 1 file changed, 3 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index 6982f83a0..1941b47b2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -10,6 +10,9 @@ /** * A representation of the TensorFlow fill() function. * + *

The fill() function creates a new tensor with a specified shape and fills it with a specified + * value. + * * @see TensorFlow fill() API. * @author Raffi Khatchadourian */ From 7bca75724b754674ce3bdb84dc4d00879251e514 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 3 Nov 2025 14:22:25 -0500 Subject: [PATCH 185/253] Add assertions of tensor properties after reshape operation. --- com.ibm.wala.cast.python.test/data/tf2_test_reshape.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_reshape.py b/com.ibm.wala.cast.python.test/data/tf2_test_reshape.py index bf23003d8..2b5423cf8 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_reshape.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_reshape.py @@ -8,5 +8,13 @@ def f(a): t1 = tf.ones([2, 3]) +assert isinstance(t1, tf.Tensor) +assert t1.shape == (2, 3) +assert t1.dtype == tf.float32 + t2 = tf.reshape(t1, [6]) +assert isinstance(t2, tf.Tensor) +assert t2.shape == (6,) +assert t2.dtype == tf.float32 + f(t2) From 1e0f4b461ce58beb2cda97e9c25fa2e3030ca3de Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 3 Nov 2025 15:09:09 -0500 Subject: [PATCH 186/253] Suppress failures for https://github.com/wala/ML/issues/340. --- .../python/ml/test/TestTensorflow2Model.java | 27 ++++++++++++++----- 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 04766a098..157b2f596 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4050,8 +4050,13 @@ public void testDecoratedFunctions9() test("decorated_function_test.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } - /** Test https://github.com/wala/ML/issues/195. */ - @Test + /** + * Test https://github.com/wala/ML/issues/195. + * + *

Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) public void testReshape() throws ClassHierarchyException, CancelException, IOException { Dimension x = new NumericDim(6); TensorType expectedType = new TensorType("pixel", asList(x)); @@ -4080,8 +4085,13 @@ public void testReshape3() throws ClassHierarchyException, CancelException, IOEx test("tf2_test_reshape3.py", "f", 1, 1, Map.of(2, Set.of(expectedType))); } - /** Test https://github.com/wala/ML/issues/195. */ - @Test + /** + * Test https://github.com/wala/ML/issues/195. + * + *

Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) public void testReshape4() throws ClassHierarchyException, CancelException, IOException { Dimension batch = new SymbolicDim("?"); Dimension x = new NumericDim(28); @@ -4092,8 +4102,13 @@ public void testReshape4() throws ClassHierarchyException, CancelException, IOEx test("tf2_test_reshape4.py", "f", 1, 1, Map.of(2, Set.of(expectedType))); } - /** Test https://github.com/wala/ML/issues/195. */ - @Test + /** + * Test https://github.com/wala/ML/issues/195. + * + *

Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) public void testReshape5() throws ClassHierarchyException, CancelException, IOException { Dimension batch = new SymbolicDim("?"); Dimension x = new NumericDim(28); From f0c0246584e5e4be6a8609b5d94a73a204cdfe67 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 11:30:00 -0500 Subject: [PATCH 187/253] Use the parameter position. Use the parameter position instead of the value number for shape argument in `ZerosLike`. --- .../com/ibm/wala/cast/python/ml/client/ZerosLike.java | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java index e3a4b6487..50968dacb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -18,15 +18,15 @@ public class ZerosLike extends Constant { * The shape argument is not explicitly provided to zeros_like(); rather, the shape is inferred * from the `input` argument. */ - private static final int VALUE_NUMBER_FOR_SHAPE_ARGUMENT = -1; + private static final int SHAPE_PARAMETER_POSITION = -1; public ZerosLike(PointsToSetVariable source, CGNode node) { super(source, node); } @Override - protected int getShapeArgumentValueNumber() { - return VALUE_NUMBER_FOR_SHAPE_ARGUMENT; + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; } @Override From b3176c6c7270f62a82005d0243d45654833df28d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 13:31:44 -0500 Subject: [PATCH 188/253] Can't get shapes from the shape argument when there is no shape argument. --- .../ibm/wala/cast/python/ml/client/ZerosLike.java | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java index 50968dacb..c015b9ab1 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -1,7 +1,12 @@ package com.ibm.wala.cast.python.ml.client; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import java.util.List; +import java.util.Set; /** * A generator for tensors created by the `zeros_like()` function in TensorFlow. @@ -24,6 +29,13 @@ public ZerosLike(PointsToSetVariable source, CGNode node) { super(source, node); } + @Override + protected Set>> getShapesFromShapeArgument( + PropagationCallGraphBuilder builder, Iterable pointsToSet) { + throw new UnsupportedOperationException( + "Shapes are derived from the `input` argument and cannot be provided explicitly."); + } + @Override protected int getShapeParameterPosition() { return SHAPE_PARAMETER_POSITION; From 0ce90afcbf3b2623b1692e204b9ac96cbcfbec66 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 14:31:06 -0500 Subject: [PATCH 189/253] Some progress on `tf.one_hot()`. --- .../python/ml/test/TestTensorflow2Model.java | 17 +- .../wala/cast/python/ml/client/OneHot.java | 162 ++++++++++++++++++ .../ibm/wala/cast/python/ml/client/Range.java | 45 +---- .../python/ml/client/TensorGenerator.java | 43 +++++ .../ml/client/TensorGeneratorFactory.java | 2 + .../cast/python/ml/types/TensorFlowTypes.java | 7 + .../data/tf2_test_add34.py | 14 +- 7 files changed, 243 insertions(+), 47 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 157b2f596..26185bee2 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -86,6 +86,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2))); + private static final TensorType TENSOR_3_3_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); @@ -1304,13 +1307,23 @@ public void testAdd33() @Test public void testAdd34() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add34.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add34.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_3_3_FLOAT32), 3, Set.of(TENSOR_3_3_FLOAT32))); } @Test public void testAdd35() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add35.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add35.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_3_3_FLOAT32), 3, Set.of(TENSOR_3_3_FLOAT32))); } @Test diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java new file mode 100644 index 000000000..e2fed5048 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -0,0 +1,162 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DEPTH; +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DTYPE; +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.OFF_VALUE; +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.ON_VALUE; + +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.ArrayList; +import java.util.EnumSet; +import java.util.List; +import java.util.Set; + +public class OneHot extends ZerosLike { + + private static final String FUNCTION_NAME = "tf.one_hot()"; + + enum Parameters { + INDICES, + DEPTH, + ON_VALUE, + OFF_VALUE, + AXIS, + DTYPE + } + + public OneHot(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + throw new UnsupportedOperationException( + "Shapes are derived from mandatory numeric arguments and must be provided explicitly."); + } + + @Override + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + // If dtype is not provided, it will attempt to assume the data type of on_value or off_value, + // if one or both are passed in. If none of on_value, off_value, or dtype are provided, dtype + // will default to the value tf.float32. + // TODO: Handle keyword arguments. + EnumSet ret = EnumSet.noneOf(DType.class); + Set possiblePositionalArguments = this.getNumberOfPossiblePositionalArguments(builder); + + for (int numArgs : possiblePositionalArguments) + if (numArgs == Parameters.DEPTH.ordinal() + 1) + // Neither on_value nor off_value is provided. + ret.add(DType.FLOAT32); + else if (numArgs <= Parameters.OFF_VALUE.ordinal() + 1) { + // Either on_value and off_value are provided. + EnumSet onValueDTypes = + this.getDTypes(builder, this.getOnValueArgumentValueNumber()); + + if (!onValueDTypes.isEmpty()) ret.addAll(onValueDTypes); + else { + EnumSet offValueDTypes = + this.getDTypes(builder, this.getOffValueArgumentValueNumber()); + ret.addAll(offValueDTypes); + } + } + + return ret; + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE.ordinal(); + } + + protected int getDepthParameterPosition() { + return DEPTH.ordinal(); + } + + protected int getOnValueParameterPosition() { + return ON_VALUE.ordinal(); + } + + protected int getOffValueParameterPosition() { + return OFF_VALUE.ordinal(); + } + + protected int getOnValueArgumentValueNumber() { + return this.getArgumentValueNumber(this.getOnValueParameterPosition()); + } + + protected int getOffValueArgumentValueNumber() { + return this.getArgumentValueNumber(this.getOffValueParameterPosition()); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + Set>> indices = this.getShapes(builder, this.getValueArgumentValueNumber()); + int depthArgumentValueNumber = this.getDepthArgumentValueNumber(); + + if (depthArgumentValueNumber <= 0) + throw new IllegalStateException( + "No depth argument value found for OneHot tensor generation."); + + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + PointerKey pointerKey = + pointerAnalysis + .getHeapModel() + .getPointerKeyForLocal(this.getNode(), depthArgumentValueNumber); + OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + + if (pointsToSet == null || pointsToSet.isEmpty()) + throw new IllegalStateException( + "No depth argument value found for OneHot tensor generation."); + + for (InstanceKey instanceKey : pointsToSet) { + int depth = getIntValueFromInstanceKey(instanceKey); + + // For each shape in indices, append the depth as a new dimension. + for (List> shape : indices) { + NumericDim dim = new NumericDim(depth); + + List> newShape = new ArrayList<>(shape); + newShape.add(dim); + ret.add(newShape); + } + } + + assert ret.size() >= indices.size() + : "Number of OneHot shapes should be at least the number of indices shapes."; + + return ret; + } + + private static int getIntValueFromInstanceKey(InstanceKey instanceKey) { + if (instanceKey instanceof ConstantKey) { + ConstantKey constantKey = (ConstantKey) instanceKey; + Object value = constantKey.getValue(); + return ((Long) value).intValue(); + } + + throw new IllegalStateException( + "Cannot get integer value from non-constant InstanceKey: " + instanceKey); + } + + private int getDepthArgumentValueNumber() { + return this.getArgumentValueNumber(this.getDepthParameterPosition()); + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index b59ab39f5..961f5fab6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -1,13 +1,10 @@ package com.ibm.wala.cast.python.ml.client; -import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.function.Function.identity; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; -import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; @@ -15,12 +12,9 @@ import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; -import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; import java.util.EnumSet; -import java.util.Iterator; import java.util.List; import java.util.Set; import java.util.logging.Logger; @@ -39,6 +33,7 @@ */ public class Range extends TensorGenerator { + @SuppressWarnings("unused") private static final Logger LOGGER = Logger.getLogger(Range.class.getName()); private static final String FUNCTION_NAME = "tf.range()"; @@ -143,44 +138,6 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return ret; } - /** - * Returns the set of possible numbers of positional arguments passed to the range function at the - * call. - * - * @param builder The {@link PropagationCallGraphBuilder} used for the analysis. - * @return A set of integers representing the possible number of positional arguments. - */ - private Set getNumberOfPossiblePositionalArguments(PropagationCallGraphBuilder builder) { - Set ret = HashSetFactory.make(); - - CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); - CallSiteReference siteReference = cs.getCallSiteRefs()[0]; - LOGGER.fine(() -> "Analyzing call site: " + siteReference + "."); - - for (Iterator it = builder.getCallGraph().getPredNodes(this.getNode()); - it.hasNext(); ) { - CGNode caller = it.next(); - LOGGER.fine(() -> "Analyzing caller node: " + caller.getMethod().getSignature() + "."); - - SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(siteReference); - LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); - - for (SSAAbstractInvokeInstruction callInstr : calls) { - LOGGER.finest(() -> "Call instruction: " + callInstr + "."); - - PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; - int numberOfPositionalParameters = - pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. - LOGGER.finer( - () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); - - ret.add(numberOfPositionalParameters); - } - } - - return ret; - } - @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // The dtype of the resulting tensor is inferred from the inputs unless it is provided diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ad1c7b3f0..85c674768 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -20,7 +20,9 @@ import com.ibm.wala.cast.python.ml.types.TensorType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.cast.python.ssa.PythonInvokeInstruction; import com.ibm.wala.cast.python.types.PythonTypes; +import com.ibm.wala.classLoader.CallSiteReference; import com.ibm.wala.classLoader.IClass; import com.ibm.wala.classLoader.IField; import com.ibm.wala.classLoader.IMethod; @@ -34,6 +36,7 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.ipa.callgraph.propagation.cfa.CallString; +import com.ibm.wala.ssa.SSAAbstractInvokeInstruction; import com.ibm.wala.types.Descriptor; import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.MethodReference; @@ -42,6 +45,7 @@ import com.ibm.wala.util.intset.OrdinalSet; import java.util.ArrayList; import java.util.EnumSet; +import java.util.Iterator; import java.util.List; import java.util.Map.Entry; import java.util.Set; @@ -656,4 +660,43 @@ protected int getArgumentValueNumber(int parameterPosition) { ? this.getNode().getIR().getParameter(parameterPosition) : this.getNode().getIR().getParameter(parameterPosition + 1); } + + /** + * Returns the set of possible numbers of positional arguments passed to the range function at the + * call. + * + * @param builder The {@link PropagationCallGraphBuilder} used for the analysis. + * @return A set of integers representing the possible number of positional arguments. + */ + protected Set getNumberOfPossiblePositionalArguments( + PropagationCallGraphBuilder builder) { + Set ret = HashSetFactory.make(); + + CallString cs = (CallString) this.getNode().getContext().get(CALL_STRING); + CallSiteReference siteReference = cs.getCallSiteRefs()[0]; + LOGGER.fine(() -> "Analyzing call site: " + siteReference + "."); + + for (Iterator it = builder.getCallGraph().getPredNodes(this.getNode()); + it.hasNext(); ) { + CGNode caller = it.next(); + LOGGER.fine(() -> "Analyzing caller node: " + caller.getMethod().getSignature() + "."); + + SSAAbstractInvokeInstruction[] calls = caller.getIR().getCalls(siteReference); + LOGGER.finest(() -> "Number of calls at this site: " + calls.length + "."); + + for (SSAAbstractInvokeInstruction callInstr : calls) { + LOGGER.finest(() -> "Call instruction: " + callInstr + "."); + + PythonInvokeInstruction pyCallInstr = (PythonInvokeInstruction) callInstr; + int numberOfPositionalParameters = + pyCallInstr.getNumberOfPositionalParameters() - 1; // Exclude the function name. + LOGGER.finer( + () -> "Number of positional parameters: " + numberOfPositionalParameters + "."); + + ret.add(numberOfPositionalParameters); + } + } + + return ret; + } } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 73e55f515..896b40f29 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -5,6 +5,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONE_HOT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TRUNCATED_NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; @@ -50,6 +51,7 @@ else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) else if (calledFunction.equals(FILL.getDeclaringClass())) return new Fill(source, node); else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) return new ConvertToTensor(source, node); + else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index eb2e9be7a..ae4b319d8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -143,6 +143,13 @@ public boolean canConvertTo(DType other) { TypeName.string2TypeName("Ltensorflow/functions/convert_to_tensor")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/one_hot. */ + public static final MethodReference ONE_HOT = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/one_hot")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add34.py b/com.ibm.wala.cast.python.test/data/tf2_test_add34.py index 7b4c95e89..69e04a041 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add34.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add34.py @@ -5,4 +5,16 @@ def add(a, b): return a + b -c = add(tf.one_hot([0, 1, 2], 3), tf.one_hot([2, 4, 3], 3)) +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +c = add(arg2, tf.one_hot([2, 4, 3], 3)) From f5ddb83f7da001675284494041ab3b9d9a004a15 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 16:48:47 -0500 Subject: [PATCH 190/253] Fix the logic. --- .../source/com/ibm/wala/cast/python/ml/client/OneHot.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index e2fed5048..0780163da 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -58,8 +58,8 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { if (numArgs == Parameters.DEPTH.ordinal() + 1) // Neither on_value nor off_value is provided. ret.add(DType.FLOAT32); - else if (numArgs <= Parameters.OFF_VALUE.ordinal() + 1) { - // Either on_value and off_value are provided. + else if (numArgs >= Parameters.ON_VALUE.ordinal() + 1) { + // Either on_value and off_value are provided. We must at least have the on_value. EnumSet onValueDTypes = this.getDTypes(builder, this.getOnValueArgumentValueNumber()); From 86172dd0e22cbe054f660ecb27e9af5c5007eaf5 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 16:49:00 -0500 Subject: [PATCH 191/253] Handle the case where the passed argument is `None`. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 85c674768..27ce0022d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -589,7 +589,8 @@ private EnumSet getDTypesOfValue( + " from value: " + value + "."); - } else throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); + } else if (value != null) + throw new IllegalStateException("Unknown constant type: " + value.getClass() + "."); } else if (valueIK instanceof AllocationSiteInNode) { AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); From 26eac1636f89d9191ae9fe2d93193ef6a8108e5d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 16:49:23 -0500 Subject: [PATCH 192/253] Add tests for `tf.one_hot()` with various parameters. --- .../python/ml/test/TestTensorflow2Model.java | 81 +++++++++++++++++++ .../data/tf2_test_one_hot.py | 20 +++++ .../data/tf2_test_one_hot10.py | 20 +++++ .../data/tf2_test_one_hot11.py | 20 +++++ .../data/tf2_test_one_hot12.py | 20 +++++ .../data/tf2_test_one_hot13.py | 20 +++++ .../data/tf2_test_one_hot2.py | 20 +++++ .../data/tf2_test_one_hot3.py | 20 +++++ .../data/tf2_test_one_hot4.py | 20 +++++ .../data/tf2_test_one_hot5.py | 20 +++++ .../data/tf2_test_one_hot6.py | 20 +++++ .../data/tf2_test_one_hot7.py | 20 +++++ .../data/tf2_test_one_hot8.py | 20 +++++ .../data/tf2_test_one_hot9.py | 20 +++++ 14 files changed, 341 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot10.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot11.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot12.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot13.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot5.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot6.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot7.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot8.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot9.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 26185bee2..bd8743298 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -89,6 +89,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_3_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_3_3_INT32 = + new TensorType(INT_32, asList(new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); @@ -4206,6 +4209,84 @@ public void testConvertToTensor11() test("tf2_test_convert_to_tensor11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32))); } + @Test + public void testOneHot() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_FLOAT32))); + } + + @Test + public void testOneHot2() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_FLOAT32))); + } + + @Test + public void testOneHot3() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot4() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot5() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot7() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot7.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_FLOAT32))); + } + + @Test + public void testOneHot8() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot8.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot9() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot9.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_FLOAT32))); + } + + @Test + public void testOneHot10() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot10.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_FLOAT32))); + } + + @Test + public void testOneHot11() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot12() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot12.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + + @Test + public void testOneHot13() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot13.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot.py new file mode 100644 index 000000000..7af0746e9 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot10.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot10.py new file mode 100644 index 000000000..5782ae54e --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot10.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 6.0, 5.0) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot11.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot11.py new file mode 100644 index 000000000..b27f2d761 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot11.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 6, 5) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot12.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot12.py new file mode 100644 index 000000000..d1bc6cc7e --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot12.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 5, None) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot13.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot13.py new file mode 100644 index 000000000..ba37bffad --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot13.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 5, None, None) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot2.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot2.py new file mode 100644 index 000000000..9612b41a6 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot2.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, None, None, None, tf.float32) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot3.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot3.py new file mode 100644 index 000000000..a2323cead --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot3.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, None, None, None, tf.int32) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot4.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot4.py new file mode 100644 index 000000000..058cf103a --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot4.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 5, None, None, tf.int32) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot5.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot5.py new file mode 100644 index 000000000..1b8387b1a --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot5.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, None, 6, None, tf.int32) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot6.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot6.py new file mode 100644 index 000000000..b41bd8488 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot6.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 5) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot7.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot7.py new file mode 100644 index 000000000..5ff077170 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot7.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, 5.0) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot8.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot8.py new file mode 100644 index 000000000..9cfcbcacb --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot8.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, None, 5) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.int32 +assert arg2.shape == (3, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot9.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot9.py new file mode 100644 index 000000000..5b72a0137 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot9.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 3, None, 5.0) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 3) + +f(arg2) From 2ab1ba37ddee9ffc5a3d5616fa58048d0edfe0f0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 17:44:31 -0500 Subject: [PATCH 193/253] Fix logic. --- .../wala/cast/python/ml/client/OneHot.java | 30 +++++++++++-------- 1 file changed, 17 insertions(+), 13 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 0780163da..e67b62082 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -56,20 +56,24 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { for (int numArgs : possiblePositionalArguments) if (numArgs == Parameters.DEPTH.ordinal() + 1) - // Neither on_value nor off_value is provided. + // Neither on_value nor off_value is provided. Default to float32. ret.add(DType.FLOAT32); - else if (numArgs >= Parameters.ON_VALUE.ordinal() + 1) { - // Either on_value and off_value are provided. We must at least have the on_value. - EnumSet onValueDTypes = - this.getDTypes(builder, this.getOnValueArgumentValueNumber()); - - if (!onValueDTypes.isEmpty()) ret.addAll(onValueDTypes); - else { - EnumSet offValueDTypes = - this.getDTypes(builder, this.getOffValueArgumentValueNumber()); - ret.addAll(offValueDTypes); - } - } + else if (numArgs == Parameters.ON_VALUE.ordinal() + 1) { + // Only on_value may be provided. + ret.addAll(this.getDTypes(builder, this.getOnValueArgumentValueNumber())); + + // If on_value has no known dtypes, default to float32. + if (ret.isEmpty()) ret.add(DType.FLOAT32); + } else if (numArgs >= Parameters.ON_VALUE.ordinal() + 1) { + // Either on_value and off_value may be provided. + ret.addAll(this.getDTypes(builder, this.getOnValueArgumentValueNumber())); + ret.addAll(this.getDTypes(builder, this.getOffValueArgumentValueNumber())); + + // If neither on_value nor off_value have known dtypes, default to float32. + if (ret.isEmpty()) ret.add(DType.FLOAT32); + } else + throw new IllegalStateException( + "Unexpected number of positional arguments: " + numArgs + "."); return ret; } From f0c3e994127cf189800c21705cfe537ade026ab1 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 6 Nov 2025 18:28:07 -0500 Subject: [PATCH 194/253] Progress. --- .../python/ml/test/TestTensorflow2Model.java | 27 +++++++ .../wala/cast/python/ml/client/OneHot.java | 76 ++++++++++++++++--- .../data/tf2_test_one_hot14.py | 20 +++++ .../data/tf2_test_one_hot15.py | 20 +++++ .../data/tf2_test_one_hot16.py | 20 +++++ .../data/tf2_test_one_hot17.py | 20 +++++ 6 files changed, 171 insertions(+), 12 deletions(-) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot14.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot15.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot16.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot17.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index bd8743298..21fe548b4 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -86,6 +86,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2))); + private static final TensorType TENSOR_2_3_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(3))); + private static final TensorType TENSOR_3_3_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(3))); @@ -4287,6 +4290,30 @@ public void testOneHot13() test("tf2_test_one_hot13.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_3_INT32))); } + @Test + public void testOneHot14() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot14.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_FLOAT32))); + } + + @Test + public void testOneHot15() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot15.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_FLOAT32))); + } + + @Test + public void testOneHot16() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot16.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_FLOAT32))); + } + + @Test + public void testOneHot17() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot17.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index e67b62082..ab03cdaa9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -1,5 +1,6 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.AXIS; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DEPTH; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DTYPE; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.OFF_VALUE; @@ -26,6 +27,8 @@ public class OneHot extends ZerosLike { private static final String FUNCTION_NAME = "tf.one_hot()"; + private static final int AXIS_END = -1; + enum Parameters { INDICES, DEPTH, @@ -87,6 +90,10 @@ protected int getDepthParameterPosition() { return DEPTH.ordinal(); } + protected int getAxisParameterPosition() { + return AXIS.ordinal(); + } + protected int getOnValueParameterPosition() { return ON_VALUE.ordinal(); } @@ -115,28 +122,34 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - PointerKey pointerKey = + PointerKey depthPointerKey = pointerAnalysis .getHeapModel() .getPointerKeyForLocal(this.getNode(), depthArgumentValueNumber); - OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); - if (pointsToSet == null || pointsToSet.isEmpty()) + OrdinalSet depthPTS = pointerAnalysis.getPointsToSet(depthPointerKey); + + if (depthPTS == null || depthPTS.isEmpty()) throw new IllegalStateException( "No depth argument value found for OneHot tensor generation."); - for (InstanceKey instanceKey : pointsToSet) { - int depth = getIntValueFromInstanceKey(instanceKey); + Set possibleAxes = this.getPossibleAxes(builder); + + for (int axis : possibleAxes) + for (InstanceKey depthIK : depthPTS) { + int depth = getIntValueFromInstanceKey(depthIK); - // For each shape in indices, append the depth as a new dimension. - for (List> shape : indices) { - NumericDim dim = new NumericDim(depth); + // For each shape in indices, append the depth as a new dimension. + for (List> shape : indices) { + NumericDim dim = new NumericDim(depth); + List> newShape = new ArrayList<>(shape); - List> newShape = new ArrayList<>(shape); - newShape.add(dim); - ret.add(newShape); + if (axis == AXIS_END) newShape.add(dim); + else newShape.add(axis, dim); + + ret.add(newShape); + } } - } assert ret.size() >= indices.size() : "Number of OneHot shapes should be at least the number of indices shapes."; @@ -144,6 +157,39 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return ret; } + private Set getPossibleAxes(PropagationCallGraphBuilder builder) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + Set ret = HashSetFactory.make(); + + // TODO: Handle keyword arguments. + for (int numArgs : this.getNumberOfPossiblePositionalArguments(builder)) { + if (numArgs <= Parameters.AXIS.ordinal()) + // Axis argument not provided. + ret.add(AXIS_END); + else { // Axis argument may be provided. + int axisArgumentValueNumber = this.getAxisArgumentValueNumber(); + + PointerKey pointerKey = + pointerAnalysis + .getHeapModel() + .getPointerKeyForLocal(this.getNode(), axisArgumentValueNumber); + + OrdinalSet pointsToSet = pointerAnalysis.getPointsToSet(pointerKey); + + if (pointsToSet == null || pointsToSet.isEmpty()) + // No axis argument value found; default to AXIS_END. + ret.add(AXIS_END); + else + for (InstanceKey instanceKey : pointsToSet) { + int axis = getIntValueFromInstanceKey(instanceKey); + ret.add(axis); + } + } + } + + return ret; + } + private static int getIntValueFromInstanceKey(InstanceKey instanceKey) { if (instanceKey instanceof ConstantKey) { ConstantKey constantKey = (ConstantKey) instanceKey; @@ -156,9 +202,15 @@ private static int getIntValueFromInstanceKey(InstanceKey instanceKey) { } private int getDepthArgumentValueNumber() { + // TODO: Handle keyword arguments. return this.getArgumentValueNumber(this.getDepthParameterPosition()); } + private int getAxisArgumentValueNumber() { + // TODO: Handle keyword arguments. + return this.getArgumentValueNumber(this.getAxisParameterPosition()); + } + @Override protected String getSignature() { return FUNCTION_NAME; diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot14.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot14.py new file mode 100644 index 000000000..51f6cfeeb --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot14.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 2) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 2) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot15.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot15.py new file mode 100644 index 000000000..887f00ca8 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot15.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 2, None, None, -1) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 2) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot16.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot16.py new file mode 100644 index 000000000..78d153f62 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot16.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 2, None, None, -1, tf.float32) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (3, 2) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot17.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot17.py new file mode 100644 index 000000000..2a02546f4 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot17.py @@ -0,0 +1,20 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [0, 1, 2] +assert isinstance(arg1, list) +assert all(isinstance(x, int) for x in arg1) +assert len(arg1) == 3 +assert tf.convert_to_tensor(arg1).dtype == tf.int32 +assert tf.convert_to_tensor(arg1).shape == (3,) + +arg2 = tf.one_hot(arg1, 2, None, None, 0) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (2, 3) + +f(arg2) From c609ccb5313c536c081cfd1ee29d5b146efb1582 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 08:39:15 -0500 Subject: [PATCH 195/253] Guard against `None`. --- .../wala/cast/python/ml/client/OneHot.java | 20 ++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index ab03cdaa9..771d7b50b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -21,6 +21,7 @@ import java.util.ArrayList; import java.util.EnumSet; import java.util.List; +import java.util.Optional; import java.util.Set; public class OneHot extends ZerosLike { @@ -137,7 +138,12 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) for (int axis : possibleAxes) for (InstanceKey depthIK : depthPTS) { - int depth = getIntValueFromInstanceKey(depthIK); + int depth = + getIntValueFromInstanceKey(depthIK) + .orElseThrow( + () -> + new IllegalStateException( + "Depth argument value for OneHot is not an integer: " + depthIK + ".")); // For each shape in indices, append the depth as a new dimension. for (List> shape : indices) { @@ -180,21 +186,21 @@ private Set getPossibleAxes(PropagationCallGraphBuilder builder) { // No axis argument value found; default to AXIS_END. ret.add(AXIS_END); else - for (InstanceKey instanceKey : pointsToSet) { - int axis = getIntValueFromInstanceKey(instanceKey); - ret.add(axis); - } + for (InstanceKey instanceKey : pointsToSet) + ret.add(getIntValueFromInstanceKey(instanceKey).orElse(AXIS_END)); } } return ret; } - private static int getIntValueFromInstanceKey(InstanceKey instanceKey) { + private static Optional getIntValueFromInstanceKey(InstanceKey instanceKey) { if (instanceKey instanceof ConstantKey) { ConstantKey constantKey = (ConstantKey) instanceKey; Object value = constantKey.getValue(); - return ((Long) value).intValue(); + + if (value == null) return Optional.empty(); + return Optional.of(((Long) value).intValue()); } throw new IllegalStateException( From acef928b162da143a0f64dcb83942226d6914fe0 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 08:57:18 -0500 Subject: [PATCH 196/253] Fix exception type. --- .../source/com/ibm/wala/cast/python/ml/client/OneHot.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 771d7b50b..d56c15fd6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -203,8 +203,8 @@ private static Optional getIntValueFromInstanceKey(InstanceKey instance return Optional.of(((Long) value).intValue()); } - throw new IllegalStateException( - "Cannot get integer value from non-constant InstanceKey: " + instanceKey); + throw new IllegalArgumentException( + "Cannot get integer value from non-constant InstanceKey: " + instanceKey + "."); } private int getDepthArgumentValueNumber() { From bf632460c8f1e3aa109026e1769562ab4a9f37f7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 09:24:35 -0500 Subject: [PATCH 197/253] Add future test. --- .../python/ml/test/TestTensorflow2Model.java | 23 ++++++++++++++++++ .../data/tf2_test_one_hot18.py | 21 ++++++++++++++++ .../data/tf2_test_one_hot19.py | 24 +++++++++++++++++++ 3 files changed, 68 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot18.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_one_hot19.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 21fe548b4..0c415ca84 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -95,6 +95,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_2_3_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3))); + private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); @@ -104,6 +107,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_3_4_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(4))); + private static final TensorType TENSOR_2_5_3_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(5), new NumericDim(3))); + private static final TensorType TENSOR_20_28_28_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(20), new NumericDim(28), new NumericDim(28))); @@ -4314,6 +4320,23 @@ public void testOneHot17() test("tf2_test_one_hot17.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_FLOAT32))); } + @Test + public void testOneHot18() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot18.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_5_3_FLOAT32))); + } + + /** + * FIXME: Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) + public void testOneHot19() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_one_hot19.py", "g", 1, 1, Map.of(2, Set.of(TENSOR_2_3_INT32))); + test("tf2_test_one_hot19.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_5_3_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot18.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot18.py new file mode 100644 index 000000000..a93d7bd0d --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot18.py @@ -0,0 +1,21 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg1 = [[10, 20, 30], [40, 50, 60]] # Row 1 # Row 2 + +assert isinstance(arg1, list) +assert all(isinstance(row, list) for row in arg1) +assert all(isinstance(elem, int) for row in arg1 for elem in row) +assert len(arg1) == 2 +assert all(len(row) == 3 for row in arg1) + +arg2 = tf.one_hot(arg1, 5, None, None, 1) +assert isinstance(arg2, tf.Tensor) +assert arg2.dtype == tf.float32 +assert arg2.shape == (2, 5, 3) + +f(arg2) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_one_hot19.py b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot19.py new file mode 100644 index 000000000..c92347746 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_one_hot19.py @@ -0,0 +1,24 @@ +import tensorflow as tf + + +def f(a): + pass + + +def g(a): + pass + + +my_tensor = tf.constant([[10, 20, 30], [40, 50, 60]]) # Row 1 # Row 2 +assert isinstance(my_tensor, tf.Tensor) +assert my_tensor.dtype == tf.int32 +assert my_tensor.shape == (2, 3) + +g(my_tensor) + +arg = tf.one_hot(my_tensor, 5, None, None, 1) +assert isinstance(arg, tf.Tensor) +assert arg.dtype == tf.float32 +assert arg.shape == (2, 5, 3) + +f(arg) From a8acc8dded5be738795abc55b44de284339e7f6f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 09:45:48 -0500 Subject: [PATCH 198/253] Switch hierarchy. --- .../com/ibm/wala/cast/python/ml/client/OneHot.java | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index d56c15fd6..89f11d083 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -3,6 +3,7 @@ import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.AXIS; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DEPTH; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.DTYPE; +import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.INDICES; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.OFF_VALUE; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.ON_VALUE; @@ -24,7 +25,7 @@ import java.util.Optional; import java.util.Set; -public class OneHot extends ZerosLike { +public class OneHot extends Ones { private static final String FUNCTION_NAME = "tf.one_hot()"; @@ -87,6 +88,10 @@ protected int getDTypeParameterPosition() { return DTYPE.ordinal(); } + protected int getIndicesParameterPosition() { + return INDICES.ordinal(); + } + protected int getDepthParameterPosition() { return DEPTH.ordinal(); } @@ -111,10 +116,14 @@ protected int getOffValueArgumentValueNumber() { return this.getArgumentValueNumber(this.getOffValueParameterPosition()); } + protected int getIndicesArgumentValueNumber() { + return this.getArgumentValueNumber(this.getIndicesParameterPosition()); + } + @Override protected Set>> getShapes(PropagationCallGraphBuilder builder) { Set>> ret = HashSetFactory.make(); - Set>> indices = this.getShapes(builder, this.getValueArgumentValueNumber()); + Set>> indices = this.getShapes(builder, this.getIndicesArgumentValueNumber()); int depthArgumentValueNumber = this.getDepthArgumentValueNumber(); if (depthArgumentValueNumber <= 0) From e6f49ed6e08c88d6f40b8184973b34af5bf8a1cf Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 11:58:31 -0500 Subject: [PATCH 199/253] Cleanup. --- .../com/ibm/wala/cast/python/ml/client/OneHot.java | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 89f11d083..006fdbc57 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -6,6 +6,7 @@ import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.INDICES; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.OFF_VALUE; import static com.ibm.wala.cast.python.ml.client.OneHot.Parameters.ON_VALUE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; @@ -60,22 +61,22 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { Set possiblePositionalArguments = this.getNumberOfPossiblePositionalArguments(builder); for (int numArgs : possiblePositionalArguments) - if (numArgs == Parameters.DEPTH.ordinal() + 1) + if (numArgs == DEPTH.ordinal() + 1) // Neither on_value nor off_value is provided. Default to float32. - ret.add(DType.FLOAT32); - else if (numArgs == Parameters.ON_VALUE.ordinal() + 1) { + ret.add(FLOAT32); + else if (numArgs == ON_VALUE.ordinal() + 1) { // Only on_value may be provided. ret.addAll(this.getDTypes(builder, this.getOnValueArgumentValueNumber())); // If on_value has no known dtypes, default to float32. - if (ret.isEmpty()) ret.add(DType.FLOAT32); - } else if (numArgs >= Parameters.ON_VALUE.ordinal() + 1) { + if (ret.isEmpty()) ret.add(FLOAT32); + } else if (numArgs >= ON_VALUE.ordinal() + 1) { // Either on_value and off_value may be provided. ret.addAll(this.getDTypes(builder, this.getOnValueArgumentValueNumber())); ret.addAll(this.getDTypes(builder, this.getOffValueArgumentValueNumber())); // If neither on_value nor off_value have known dtypes, default to float32. - if (ret.isEmpty()) ret.add(DType.FLOAT32); + if (ret.isEmpty()) ret.add(FLOAT32); } else throw new IllegalStateException( "Unexpected number of positional arguments: " + numArgs + "."); From 573f06a647ff9f095d6ff99c80b48372a5675adb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 12:00:25 -0500 Subject: [PATCH 200/253] Pull up `getIntValueFromInstanceKey()` to `Ones` super class. --- .../ibm/wala/cast/python/ml/client/OneHot.java | 15 --------------- .../com/ibm/wala/cast/python/ml/client/Ones.java | 16 ++++++++++++++++ 2 files changed, 16 insertions(+), 15 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 006fdbc57..5e192df64 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -12,7 +12,6 @@ import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.ipa.callgraph.CGNode; -import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -23,7 +22,6 @@ import java.util.ArrayList; import java.util.EnumSet; import java.util.List; -import java.util.Optional; import java.util.Set; public class OneHot extends Ones { @@ -204,19 +202,6 @@ private Set getPossibleAxes(PropagationCallGraphBuilder builder) { return ret; } - private static Optional getIntValueFromInstanceKey(InstanceKey instanceKey) { - if (instanceKey instanceof ConstantKey) { - ConstantKey constantKey = (ConstantKey) instanceKey; - Object value = constantKey.getValue(); - - if (value == null) return Optional.empty(); - return Optional.of(((Long) value).intValue()); - } - - throw new IllegalArgumentException( - "Cannot get integer value from non-constant InstanceKey: " + instanceKey + "."); - } - private int getDepthArgumentValueNumber() { // TODO: Handle keyword arguments. return this.getArgumentValueNumber(this.getDepthParameterPosition()); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index ae9b09f58..8ed90b439 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -6,10 +6,13 @@ import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import java.util.EnumSet; import java.util.List; +import java.util.Optional; import java.util.Set; /** @@ -60,4 +63,17 @@ protected int getShapeParameterPosition() { protected int getDTypeParameterPosition() { return DTYPE_PARAMETER_POSITION; } + + protected static Optional getIntValueFromInstanceKey(InstanceKey instanceKey) { + if (instanceKey instanceof ConstantKey) { + ConstantKey constantKey = (ConstantKey) instanceKey; + Object value = constantKey.getValue(); + + if (value == null) return Optional.empty(); + return Optional.of(((Long) value).intValue()); + } + + throw new IllegalArgumentException( + "Cannot get integer value from non-constant InstanceKey: " + instanceKey + "."); + } } From ff52a090f671c4d01a29f65c4af97c68884fd287 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 12:38:40 -0500 Subject: [PATCH 201/253] Initial work on `tf.eye()`. --- .../python/ml/test/TestTensorflow2Model.java | 33 +++- .../ibm/wala/cast/python/ml/client/Eye.java | 155 ++++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 2 + .../cast/python/ml/types/TensorFlowTypes.java | 7 + .../data/tf2_test_eye.py | 14 ++ .../data/tf2_test_eye2.py | 14 ++ 6 files changed, 222 insertions(+), 3 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye2.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 0c415ca84..37ec46c2f 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1478,19 +1478,34 @@ public void testAdd50() @Test public void testAdd51() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add51.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add51.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd52() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add52.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add52.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test public void testAdd53() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add53.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add53.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_2_FLOAT32), 3, Set.of(TENSOR_2_2_FLOAT32))); } @Test @@ -4337,6 +4352,18 @@ public void testOneHot19() test("tf2_test_one_hot19.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_5_3_FLOAT32))); } + @Test + public void testEye() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); + } + + @Test + public void testEye2() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java new file mode 100644 index 000000000..65bc67f3c --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -0,0 +1,155 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.BATCH_SHAPE; +import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.DTYPE; +import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_COLUMNS; +import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_ROWS; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.StreamSupport; + +public class Eye extends Ones { + + private static final String FUNCTION_NAME = "tf.eye()"; + + private static final int SHAPE_PARAMETER_POSITION = -1; + + enum Parameters { + NUM_ROWS, + NUM_COLUMNS, + BATCH_SHAPE, + DTYPE, + NAME + } + + public Eye(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } + + @Override + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; + } + + protected int getNumRowsParameterPosition() { + return NUM_ROWS.ordinal(); + } + + protected int getNumRowsValueNumber(PropagationCallGraphBuilder builder) { + return this.getArgumentValueNumber(this.getNumRowsParameterPosition()); + } + + protected int getNumColumnsParameterPosition() { + return NUM_COLUMNS.ordinal(); + } + + protected int getNumColumnsValueNumber(PropagationCallGraphBuilder builder) { + return this.getArgumentValueNumber(this.getNumColumnsParameterPosition()); + } + + protected int getBatchShapeParameterPosition() { + return BATCH_SHAPE.ordinal(); + } + + protected int getBatchShapeValueNumber(PropagationCallGraphBuilder builder) { + return this.getArgumentValueNumber(this.getBatchShapeParameterPosition()); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + Set> numRows = this.getNumberOfRows(builder); + Set> numColumns = this.getNumberOfColumns(builder); + + for (Optional nRow : numRows) { + if (numColumns.isEmpty()) + // If numColumns is not provided, it defaults to numRows. + for (Optional nCol : numRows) + // Build the shape using nRow and nCol. + numColumns.add(nCol); + + for (Optional nCol : numColumns) + if (nCol.isEmpty()) { + // If numColumns is not provided, it defaults to numRows. + for (Optional nCol2 : numRows) { + // Build the shape using nRow and nCol. + List> shape = new ArrayList<>(); + + NumericDim rowDim = new NumericDim(nRow.get()); + NumericDim colDim = new NumericDim(nCol2.get()); + + shape.add(rowDim); + shape.add(colDim); + + ret.add(shape); + } + } else { + List> shape = new ArrayList<>(); + + NumericDim rowDim = new NumericDim(nRow.get()); + NumericDim colDim = new NumericDim(nCol.get()); + + shape.add(rowDim); + shape.add(colDim); + + ret.add(shape); + } + } + + return ret; + } + + private Set> getNumberOfRows(PropagationCallGraphBuilder builder) { + // TODO Handle keyword arguments. + return this.getPossiblePositionalArgumentValues(builder, this.getNumRowsParameterPosition()); + } + + private Set> getNumberOfColumns(PropagationCallGraphBuilder builder) { + // TODO Handle keyword arguments. + return this.getPossiblePositionalArgumentValues(builder, this.getNumColumnsParameterPosition()); + } + + private Set> getPossiblePositionalArgumentValues( + PropagationCallGraphBuilder builder, int paramPosition) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + Set possibleNumArgs = this.getNumberOfPossiblePositionalArguments(builder); + + return possibleNumArgs.stream() + .filter(numArgs -> numArgs >= paramPosition + 1) + .map( + _ -> { + PointerKey pointerKey = + pointerAnalysis + .getHeapModel() + .getPointerKeyForLocal( + this.getNode(), this.getArgumentValueNumber(paramPosition)); + return pointerAnalysis.getPointsToSet(pointerKey); + }) + .flatMap(pts -> StreamSupport.stream(pts.spliterator(), false)) + .map(Eye::getIntValueFromInstanceKey) + .collect(Collectors.toSet()); + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE.ordinal(); + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 896b40f29..e23d82838 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -2,6 +2,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONSTANT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONVERT_TO_TENSOR; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.EYE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; @@ -52,6 +53,7 @@ else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) return new ConvertToTensor(source, node); else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); + else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index ae4b319d8..bb8b69e0c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -150,6 +150,13 @@ public boolean canConvertTo(DType other) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/one_hot")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/eye. */ + public static final MethodReference EYE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/eye")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye.py new file mode 100644 index 000000000..b17fc642f --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(ab): + pass + + +# Construct one identity matrix. +arg = tf.eye(2) +assert isinstance(arg, tf.Tensor) +assert arg.dtype == tf.float32 +assert arg.shape == (2, 2) + +f(arg) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py new file mode 100644 index 000000000..bbbaa911e --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(ab): + pass + + +# Construct one identity matrix. +arg = tf.eye(2, None) +assert isinstance(arg, tf.Tensor) +assert arg.dtype == tf.float32 +assert arg.shape == (2, 2) + +f(arg) From 6d9eac57538d0a513e92dd01f8ca99aaac38e574 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 13:54:50 -0500 Subject: [PATCH 202/253] Refine tests. --- com.ibm.wala.cast.python.test/data/tf2_test_eye.py | 2 +- com.ibm.wala.cast.python.test/data/tf2_test_eye2.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye.py index b17fc642f..870873251 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_eye.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye.py @@ -1,7 +1,7 @@ import tensorflow as tf -def f(ab): +def f(a): pass diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py index bbbaa911e..92afa35ca 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye2.py @@ -1,7 +1,7 @@ import tensorflow as tf -def f(ab): +def f(a): pass From fc81337a63e3e5c1cbc869debadd3cdb77a500aa Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 14:05:43 -0500 Subject: [PATCH 203/253] Add test. --- .../cast/python/ml/test/TestTensorflow2Model.java | 6 ++++++ com.ibm.wala.cast.python.test/data/tf2_test_eye3.py | 13 +++++++++++++ 2 files changed, 19 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye3.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 37ec46c2f..89197659f 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4364,6 +4364,12 @@ public void testEye2() test("tf2_test_eye2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_2_FLOAT32))); } + @Test + public void testEye3() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye3.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye3.py new file mode 100644 index 000000000..56e48252b --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye3.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +# Construct one 2 x 3 "identity" matrix +arg = tf.eye(2, 3) +assert arg.shape == (2, 3) +assert arg.dtype == tf.float32 + +f(arg) From a98f6a71fd939f47ac8314cf56c96fc6cf4eaa07 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 14:09:15 -0500 Subject: [PATCH 204/253] Check required parameters. --- .../source/com/ibm/wala/cast/python/ml/client/Eye.java | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java index 65bc67f3c..5631f5adf 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -119,7 +119,13 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) private Set> getNumberOfRows(PropagationCallGraphBuilder builder) { // TODO Handle keyword arguments. - return this.getPossiblePositionalArgumentValues(builder, this.getNumRowsParameterPosition()); + Set> values = + this.getPossiblePositionalArgumentValues(builder, this.getNumRowsParameterPosition()); + + if (values == null || values.isEmpty()) + throw new IllegalStateException("The num_rows parameter is required for tf.eye()."); + + return values; } private Set> getNumberOfColumns(PropagationCallGraphBuilder builder) { From 3612e02505aa07d0e0dabeafce46812a62246794 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 14:58:31 -0500 Subject: [PATCH 205/253] Handle batch dimensions for tf.eye(). --- .../python/ml/test/TestTensorflow2Model.java | 20 ++++++++ .../ibm/wala/cast/python/ml/client/Eye.java | 48 ++++++++++++++++--- .../python/ml/client/TensorGenerator.java | 10 +++- .../data/tf2_test_eye4.py | 14 ++++++ .../data/tf2_test_eye5.py | 13 +++++ 5 files changed, 97 insertions(+), 8 deletions(-) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye5.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 89197659f..4ef0b7dcb 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -110,6 +110,14 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_5_3_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(5), new NumericDim(3))); + private static final TensorType TENSOR_3_2_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2), new NumericDim(2))); + + private static final TensorType TENSOR_3_2_2_3_FLOAT32 = + new TensorType( + FLOAT_32, + asList(new NumericDim(3), new NumericDim(2), new NumericDim(2), new NumericDim(3))); + private static final TensorType TENSOR_20_28_28_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(20), new NumericDim(28), new NumericDim(28))); @@ -4370,6 +4378,18 @@ public void testEye3() test("tf2_test_eye3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_FLOAT32))); } + @Test + public void testEye4() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_2_FLOAT32))); + } + + @Test + public void testEye5() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_2_3_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java index 5631f5adf..e1f2c4381 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -4,6 +4,7 @@ import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.DTYPE; import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_COLUMNS; import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_ROWS; +import static java.util.Collections.emptySet; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; @@ -14,6 +15,7 @@ import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; import java.util.ArrayList; import java.util.List; import java.util.Optional; @@ -53,15 +55,20 @@ protected int getNumRowsParameterPosition() { return NUM_ROWS.ordinal(); } - protected int getNumRowsValueNumber(PropagationCallGraphBuilder builder) { + protected int getNumRowsArgumentValueNumber() { return this.getArgumentValueNumber(this.getNumRowsParameterPosition()); } + protected int getBatchShapesArgumentValueNumber() { + // TOOD: Handle keyword arguments. + return this.getArgumentValueNumber(this.getBatchShapeParameterPosition()); + } + protected int getNumColumnsParameterPosition() { return NUM_COLUMNS.ordinal(); } - protected int getNumColumnsValueNumber(PropagationCallGraphBuilder builder) { + protected int getNumColumnsArgumentValueNumber(PropagationCallGraphBuilder builder) { return this.getArgumentValueNumber(this.getNumColumnsParameterPosition()); } @@ -69,10 +76,6 @@ protected int getBatchShapeParameterPosition() { return BATCH_SHAPE.ordinal(); } - protected int getBatchShapeValueNumber(PropagationCallGraphBuilder builder) { - return this.getArgumentValueNumber(this.getBatchShapeParameterPosition()); - } - @Override protected Set>> getShapes(PropagationCallGraphBuilder builder) { Set>> ret = HashSetFactory.make(); @@ -114,6 +117,12 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) } } + Set>> batchShapes = this.getBatchShapes(builder); + + // prepend batch dimensions to each shape. + for (List> batchDim : batchShapes) + for (List> retDim : ret) retDim.addAll(0, batchDim); + return ret; } @@ -133,6 +142,33 @@ private Set> getNumberOfColumns(PropagationCallGraphBuilder bu return this.getPossiblePositionalArgumentValues(builder, this.getNumColumnsParameterPosition()); } + private Set>> getBatchShapes(PropagationCallGraphBuilder builder) { + // TODO Handle keyword arguments. + Set possibleNumArgs = this.getNumberOfPossiblePositionalArguments(builder); + + if (possibleNumArgs.contains(this.getBatchShapeParameterPosition() + 1)) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + PointerKey pointerKey = + pointerAnalysis + .getHeapModel() + .getPointerKeyForLocal(this.getNode(), this.getBatchShapesArgumentValueNumber()); + + OrdinalSet pts = pointerAnalysis.getPointsToSet(pointerKey); + + Set>> shapesFromShapeArgument = + this.getShapesFromShapeArgument(builder, pts); + + if (shapesFromShapeArgument == null || shapesFromShapeArgument.isEmpty()) + throw new IllegalStateException( + "Batch shape argument for tf.eye() should be a list of dimensions."); + + return shapesFromShapeArgument; + } + + return emptySet(); + } + private Set> getPossiblePositionalArgumentValues( PropagationCallGraphBuilder builder, int paramPosition) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 27ce0022d..773575d1a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -103,7 +103,7 @@ protected Set>> getShapesFromShapeArgument( AllocationSiteInNode asin = getAllocationSiteInNode(instanceKey); TypeReference reference = asin.getConcreteType().getReference(); - if (reference.equals(list)) { // TODO: This can also be a tuple of tensors. + if (reference.equals(list) || reference.equals(tuple)) { // We have a list of integers that represent the shape. OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet( @@ -206,7 +206,13 @@ protected Set>> getShapesFromShapeArgument( } } else throw new IllegalStateException( - "Expected a " + PythonTypes.list + " for the shape, but got: " + reference + "."); + "Expected a " + + PythonTypes.list + + " or " + + PythonTypes.tuple + + " for the shape, but got: " + + reference + + "."); } return ret; diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye4.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye4.py new file mode 100644 index 000000000..16a6339c9 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye4.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(a): + pass + + +# Construct a batch of 3 identity matrices, each 2 x 2. +# batch_identity[i, :, :] is a 2 x 2 identity matrix, i = 0, 1, 2. +arg = tf.eye(2, None, [3]) +assert arg.shape == (3, 2, 2) +assert arg.dtype == tf.float32 + +f(arg) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye5.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye5.py new file mode 100644 index 000000000..74304d76d --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye5.py @@ -0,0 +1,13 @@ +import tensorflow as tf + + +def f(a): + pass + + +arg = tf.eye(2, 3, [3, 2]) + +assert arg.shape == (3, 2, 2, 3) +assert arg.dtype == tf.float32 + +f(arg) From 834cb2982cf838ac7b1b5982519d003d51acbe7c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 15:12:25 -0500 Subject: [PATCH 206/253] Add TODO. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 773575d1a..84a388e3b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -93,6 +93,7 @@ public Set getTensorTypes(PropagationCallGraphBuilder builder) { protected Set>> getShapesFromShapeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { if (pointsToSet == null || !pointsToSet.iterator().hasNext()) + // TODO: The shape argument could be a tensor, in which case the points-to set would be empty. throw new IllegalArgumentException( "Empty points-to set for shape argument in source: " + source + "."); From 32a8bd530036d858d921c203d68f99b78d1fe326 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 15:12:31 -0500 Subject: [PATCH 207/253] Add test. --- .../python/ml/test/TestTensorflow2Model.java | 10 ++++++++++ .../data/tf2_test_eye6.py | 17 +++++++++++++++++ 2 files changed, 27 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_eye6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 4ef0b7dcb..d64afed80 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4390,6 +4390,16 @@ public void testEye5() test("tf2_test_eye5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_2_3_FLOAT32))); } + /** + * FIXME: Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) + public void testEye6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_eye6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_2_3_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_eye6.py b/com.ibm.wala.cast.python.test/data/tf2_test_eye6.py new file mode 100644 index 000000000..4a7872c80 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_eye6.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def f(a): + pass + + +batch = tf.constant([3, 2]) +assert batch.shape == (2,) +assert batch.dtype == tf.int32 + +arg = tf.eye(2, 3, batch) + +assert arg.shape == (3, 2, 2, 3) +assert arg.dtype == tf.float32 + +f(arg) From 6576292d12ade3b0f002b9d080b34375dd73f160 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 7 Nov 2025 15:16:31 -0500 Subject: [PATCH 208/253] Fix test. --- .../ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index d64afed80..84be46fe8 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -3800,10 +3800,8 @@ public void testStaticMethod12() throws ClassHierarchyException, CancelException test("tf2_test_static_method12.py", "f", 1, 1, Map.of(2, Set.of(SCALAR_TENSOR_OF_INT32))); } - @Test(expected = IllegalStateException.class) + @Test public void testStaticMethod13() throws ClassHierarchyException, CancelException, IOException { - // NOTE: This test will no longer throw an exception once data types other than lists are - // supported for shape arguments. test( "tf2_test_static_method13.py", "MyClass.the_static_method", From 275544706bd6a1aef4e021327f69cea37ab009b6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 10 Nov 2025 13:14:30 -0500 Subject: [PATCH 209/253] Handle `tf.random.gamma`. --- .../python/ml/test/TestTensorflow2Model.java | 81 +++++++++- .../ibm/wala/cast/python/ml/client/Gamma.java | 146 ++++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 2 + .../cast/python/ml/types/TensorFlowTypes.java | 7 + .../wala/cast/python/ml/types/TensorType.java | 11 ++ .../data/tf2_test_add100.py | 12 +- .../data/tf2_test_gamma.py | 21 +++ .../data/tf2_test_gamma2.py | 21 +++ .../data/tf2_test_gamma3.py | 16 ++ .../data/tf2_test_gamma4.py | 17 ++ .../data/tf2_test_gamma5.py | 17 ++ .../data/tf2_test_gamma6.py | 29 ++++ 12 files changed, 375 insertions(+), 5 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma5.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_gamma6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 84be46fe8..2702e55c3 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -101,6 +101,12 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_1_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(2), new NumericDim(1))); + private static final TensorType TENSOR_10_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(10), new NumericDim(2))); + + private static final TensorType TENSOR_10_2_FLOAT64 = + new TensorType(FLOAT_64, asList(new NumericDim(10), new NumericDim(2))); + private static final TensorType TENSOR_2_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); @@ -113,6 +119,12 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_2_2_FLOAT32 = new TensorType(FLOAT_32, asList(new NumericDim(3), new NumericDim(2), new NumericDim(2))); + private static final TensorType TENSOR_7_5_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(7), new NumericDim(5), new NumericDim(2))); + + private static final TensorType TENSOR_30_3_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(30), new NumericDim(3), new NumericDim(2))); + private static final TensorType TENSOR_3_2_2_3_FLOAT32 = new TensorType( FLOAT_32, @@ -1795,25 +1807,45 @@ public void testAdd99() @Test public void testAdd100() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add100.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add100.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test public void testAdd101() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add101.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add101.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test public void testAdd102() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add102.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add102.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test public void testAdd103() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add103.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add103.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test @@ -4398,6 +4430,47 @@ public void testEye6() test("tf2_test_eye6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_2_2_3_FLOAT32))); } + @Test + public void testGamma() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_10_2_FLOAT32))); + } + + @Test + public void testGamma2() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_10_2_FLOAT64))); + } + + @Test + public void testGamma3() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_7_5_2_FLOAT32))); + } + + /** FIXME: Handle keyword arguments properly so that this test passes. */ + @Test(expected = IllegalStateException.class) + public void testGamma4() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_30_3_2_FLOAT32))); + } + + /** + * FIXME: Should not throw an {@link IllegalArgumentException} once + * https://github.com/wala/ML/issues/340 is fixed. + */ + @Test(expected = IllegalArgumentException.class) + public void testGamma5() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_30_3_2_FLOAT32))); + } + + @Test + public void testGamma6() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_gamma6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_30_3_2_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java new file mode 100644 index 000000000..cfa38d8f5 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -0,0 +1,146 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.client.Gamma.Parameters.ALPHA; +import static com.ibm.wala.cast.python.ml.client.Gamma.Parameters.BETA; +import static com.ibm.wala.cast.python.ml.client.Gamma.Parameters.DTYPE; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import java.util.ArrayList; +import java.util.List; +import java.util.Set; + +/** + * A representation of the `tf.random.gamma` API in TensorFlow. + * + * @see tf.random.gamma + * API. + * @author Raffi Khatchadourian + */ +public class Gamma extends Ones { + + private static final String FUNCTION_NAME = "tf.random.gamma()"; + + enum Parameters { + SHAPE, + ALPHA, + BETA, + DTYPE, + SEED, + NAME + } + + public Gamma(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE.ordinal(); + } + + protected int getAlphaParameterPosition() { + return ALPHA.ordinal(); + } + + protected int getBetaParameterPosition() { + return BETA.ordinal(); + } + + protected int getAlphaParameterValueNumber(PropagationCallGraphBuilder builder) { + Set numberOfPossiblePositionalArguments = + this.getNumberOfPossiblePositionalArguments(builder); + int alphaParameterPosition = this.getAlphaParameterPosition(); + + if (!numberOfPossiblePositionalArguments.stream() + .anyMatch(n -> n >= alphaParameterPosition + 1)) + throw new IllegalStateException( + "Alpha parameter is mandatory and must be provided explicitly."); + + return this.getArgumentValueNumber(alphaParameterPosition); + } + + protected int getBetaParameterValueNumber(PropagationCallGraphBuilder builder) { + Set numberOfPossiblePositionalArguments = + this.getNumberOfPossiblePositionalArguments(builder); + int betaParameterPosition = this.getBetaParameterPosition(); + + if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= betaParameterPosition + 1)) + return -1; // Beta parameter is optional. + + return this.getArgumentValueNumber(betaParameterPosition); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + Set>> shapes = super.getShapes(builder); + + // Get the shape of the alpha parameter. + Set>> alphaShapes = + this.getShapes(builder, this.getAlphaParameterValueNumber(builder)); + + // If there is no beta parameter. + if (this.getBetaParameterValueNumber(builder) < 0) + // return shape `tf.concat([shape, tf.shape(alpha)], axis=0)`. + shapes.forEach( + shape -> { + alphaShapes.forEach( + alphaShape -> { + List> newShape = new ArrayList<>(shape); + newShape.addAll(alphaShape); + ret.add(newShape); + }); + }); + else { // There is a beta parameter. + // return shape `tf.concat([shape, tf.shape(alpha + beta)], axis=0)`. + shapes.forEach( + shape -> { + // Get the shape of the beta parameter, which is optional. + Set>> betaShapes = + this.getShapes(builder, this.getBetaParameterValueNumber(builder)); + + alphaShapes.forEach( + aShape -> { + betaShapes.forEach( + bShape -> { + List> newShape = new ArrayList<>(shape); + // Here we assume that alphaShape and betaShape are compatible for + // broadcasting. + // In a complete implementation, we would need to handle broadcasting rules + // properly. + int maxLength = Math.max(aShape.size(), bShape.size()); + + for (int i = 0; i < maxLength; i++) { + Dimension dim; + + if (i < aShape.size() && i < bShape.size()) + // Both shapes have this dimension, take the maximum. + dim = Dimension.max(aShape.get(i), bShape.get(i)); + else if (i < aShape.size()) + // Only alpha shape has this dimension. + dim = aShape.get(i); + else + // Only beta shape has this dimension. + dim = bShape.get(i); + + newShape.add(dim); + } + + ret.add(newShape); + }); + }); + }); + } + + return ret; + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index e23d82838..8ef46555b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -4,6 +4,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.CONVERT_TO_TENSOR; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.EYE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FILL; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.GAMMA; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONE_HOT; @@ -54,6 +55,7 @@ else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) return new ConvertToTensor(source, node); else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source, node); + else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index bb8b69e0c..58db1a8eb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -157,6 +157,13 @@ public boolean canConvertTo(DType other) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/eye")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/gamma. */ + public static final MethodReference GAMMA = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/gamma")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java index 9fa896f1b..f84a282a2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorType.java @@ -110,6 +110,17 @@ public boolean equals(Object obj) { } else if (!v.equals(other.v)) return false; return true; } + + public static Dimension max(Dimension d1, Dimension d2) { + if (d1 instanceof NumericDim && d2 instanceof NumericDim) { + Integer v1 = ((NumericDim) d1).value(); + Integer v2 = ((NumericDim) d2).value(); + + return new NumericDim(Math.max(v1, v2)); + } else + throw new IllegalArgumentException( + "Cannot compute max of non-numeric dimensions: " + d1 + ", " + d2); + } } public static class SymbolicDim extends Dimension { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_add100.py b/com.ibm.wala.cast.python.test/data/tf2_test_add100.py index eeac82aee..bc7a08098 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_add100.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_add100.py @@ -5,4 +5,14 @@ def add(a, b): return a + b -c = add(tf.random.gamma([10], [0.5, 1.5]), tf.random.gamma([10], [1, 2.5])) +a = tf.random.gamma([10], [0.5, 1.5]) +assert isinstance(a, tf.Tensor) +assert a.shape == (10, 2) +assert a.dtype == tf.float32 + +b = tf.random.gamma([10], [1, 2.5]) +assert isinstance(a, tf.Tensor) +assert b.shape == (10, 2) +assert a.dtype == tf.float32 + +c = add(a, b) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma.py new file mode 100644 index 000000000..be8782f97 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma.py @@ -0,0 +1,21 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = [0.5, 1.5] +assert isinstance(a, list) +assert len(a) == 2 +assert all(isinstance(x, float) for x in a) +assert tf.shape(a) == (2,) + +samples = tf.random.gamma([10], a) +# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents +# the samples drawn from each distribution +assert isinstance(samples, tf.Tensor) +assert samples.shape == (10, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma2.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma2.py new file mode 100644 index 000000000..619cde97e --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma2.py @@ -0,0 +1,21 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = [0.5, 1.5] +assert isinstance(a, list) +assert len(a) == 2 +assert all(isinstance(x, float) for x in a) +assert tf.shape(a) == (2,) + +samples = tf.random.gamma([10], a, None, tf.float64) +# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents +# the samples drawn from each distribution +assert isinstance(samples, tf.Tensor) +assert samples.shape == (10, 2) +assert samples.dtype == tf.float64 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma3.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma3.py new file mode 100644 index 000000000..b852ed237 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma3.py @@ -0,0 +1,16 @@ +import tensorflow as tf + + +def f(a): + pass + + +samples = tf.random.gamma([7, 5], [0.5, 1.5]) +# samples has shape [7, 5, 2], where each slice [:, :, 0] and [:, :, 1] +# represents the 7x5 samples drawn from each of the two distributions + +assert isinstance(samples, tf.Tensor) +assert samples.shape == (7, 5, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma4.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma4.py new file mode 100644 index 000000000..a42ec341b --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma4.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def f(a): + pass + + +alpha = tf.constant([[1.0], [3.0], [5.0]]) +beta = tf.constant([[3.0, 4.0]]) +samples = tf.random.gamma([30], alpha=alpha, beta=beta) +# samples has shape [30, 3, 2], with 30 samples each of 3x2 distributions. + +assert isinstance(samples, tf.Tensor) +assert samples.shape == (30, 3, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma5.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma5.py new file mode 100644 index 000000000..2678b1d19 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma5.py @@ -0,0 +1,17 @@ +import tensorflow as tf + + +def f(a): + pass + + +alpha = tf.constant([[1.0], [3.0], [5.0]]) +beta = tf.constant([[3.0, 4.0]]) +samples = tf.random.gamma([30], alpha, beta) +# samples has shape [30, 3, 2], with 30 samples each of 3x2 distributions. + +assert isinstance(samples, tf.Tensor) +assert samples.shape == (30, 3, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gamma6.py b/com.ibm.wala.cast.python.test/data/tf2_test_gamma6.py new file mode 100644 index 000000000..19bfeb8b8 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gamma6.py @@ -0,0 +1,29 @@ +import tensorflow as tf + + +def f(a): + pass + + +alpha = [[1.0], [3.0], [5.0]] +assert isinstance(alpha, list) +assert len(alpha) == 3 +assert tf.constant(alpha).shape == (3, 1) + +beta = [[3.0, 4.0]] +assert isinstance(beta, list) +assert len(beta) == 1 +assert tf.constant(beta).shape == (1, 2) + +res = tf.constant(alpha) + tf.constant(beta) +assert res.shape == (3, 2) + + +samples = tf.random.gamma([30], alpha, beta) +# samples has shape [30, 3, 2], with 30 samples each of 3x2 distributions. + +assert isinstance(samples, tf.Tensor) +assert samples.shape == (30, 3, 2) +assert samples.dtype == tf.float32 + +f(samples) From 62a252b17fc032adad4891873d733aa75d3dbf89 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 11 Nov 2025 09:48:08 -0500 Subject: [PATCH 210/253] Add exceptions for missing mandatory shape parameters. --- .../source/com/ibm/wala/cast/python/ml/client/Gamma.java | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java index cfa38d8f5..c3be068cc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -79,10 +79,16 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) Set>> ret = HashSetFactory.make(); Set>> shapes = super.getShapes(builder); + if (shapes.isEmpty()) + throw new IllegalStateException("Cannot determine shape for mandatory shape parameter."); + // Get the shape of the alpha parameter. Set>> alphaShapes = this.getShapes(builder, this.getAlphaParameterValueNumber(builder)); + if (alphaShapes.isEmpty()) + throw new IllegalStateException("Cannot determine shape for mandatory alpha parameter."); + // If there is no beta parameter. if (this.getBetaParameterValueNumber(builder) < 0) // return shape `tf.concat([shape, tf.shape(alpha)], axis=0)`. From 521fcc422cc78756612037fe49694fca19f2838c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 11 Nov 2025 09:48:31 -0500 Subject: [PATCH 211/253] Renamed variable for clarity. --- .../source/com/ibm/wala/cast/python/ml/client/Gamma.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java index c3be068cc..aa2b727a4 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -95,9 +95,9 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) shapes.forEach( shape -> { alphaShapes.forEach( - alphaShape -> { + aShape -> { List> newShape = new ArrayList<>(shape); - newShape.addAll(alphaShape); + newShape.addAll(aShape); ret.add(newShape); }); }); From 784fd306da145bfc9ff4447fbfdad1273b681eeb Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 11 Nov 2025 10:03:05 -0500 Subject: [PATCH 212/253] Handle `tf.random.poisson` API in TensorFlow. --- .../python/ml/test/TestTensorflow2Model.java | 38 +++++++- .../wala/cast/python/ml/client/Poisson.java | 90 +++++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 2 + .../cast/python/ml/types/TensorFlowTypes.java | 7 ++ .../data/tf2_test_poisson.py | 14 +++ .../data/tf2_test_poisson2.py | 14 +++ .../data/tf2_test_poisson3.py | 14 +++ .../data/tf2_test_poisson4.py | 14 +++ 8 files changed, 191 insertions(+), 2 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_poisson.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_poisson2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_poisson3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_poisson4.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 2702e55c3..5f2971508 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -1884,13 +1884,23 @@ public void testAdd106() @Test public void testAdd107() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add107.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add107.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test public void testAdd108() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add108.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add108.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_10_2_FLOAT32), 3, Set.of(TENSOR_10_2_FLOAT32))); } @Test @@ -4471,6 +4481,30 @@ public void testGamma6() test("tf2_test_gamma6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_30_3_2_FLOAT32))); } + @Test + public void testPoisson() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_poisson.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_10_2_FLOAT32))); + } + + @Test + public void testPoisson2() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_poisson2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_10_2_FLOAT32))); + } + + @Test + public void testPoisson3() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_poisson3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_10_2_FLOAT64))); + } + + @Test + public void testPoisson4() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_poisson4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_7_5_2_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java new file mode 100644 index 000000000..c5a608728 --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -0,0 +1,90 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.client.Poisson.Parameters.DTYPE; +import static com.ibm.wala.cast.python.ml.client.Poisson.Parameters.LAM; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import java.util.ArrayList; +import java.util.List; +import java.util.Set; + +/** + * A representation of the `tf.random.poisson` API in TensorFlow. + * + * @see tf.random.poisson. + * @author Raffi Khatchadourian + */ +public class Poisson extends Ones { + + private static final String FUNCTION_NAME = "tf.random.poisson()"; + + enum Parameters { + SHAPE, + LAM, + DTYPE, + SEED, + NAME + } + + public Poisson(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE.ordinal(); + } + + protected int getLamParameterPosition() { + return LAM.ordinal(); + } + + protected int getLamParameterValueNumber(PropagationCallGraphBuilder builder) { + Set numberOfPossiblePositionalArguments = + this.getNumberOfPossiblePositionalArguments(builder); + int lamParameterPosition = this.getLamParameterPosition(); + + if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= lamParameterPosition + 1)) + throw new IllegalStateException( + "Cannot determine value number for 'lam' parameter of " + FUNCTION_NAME); + + return this.getArgumentValueNumber(lamParameterPosition); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + Set>> shapes = super.getShapes(builder); + + if (shapes.isEmpty()) + throw new IllegalStateException( + "Cannot determine shape for " + this.getSignature() + " call."); + + // Get the shape of the alpha parameter. + Set>> lamShapes = + this.getShapes(builder, this.getLamParameterValueNumber(builder)); + + // return shape `tf.concat([shape, tf.shape(lam)], axis=0)`. + shapes.forEach( + shape -> { + lamShapes.forEach( + lShape -> { + List> newShape = new ArrayList<>(shape); + newShape.addAll(lShape); + ret.add(newShape); + }); + }); + + return ret; + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 8ef46555b..f002c75bc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -8,6 +8,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONE_HOT; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.POISSON; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TRUNCATED_NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; @@ -56,6 +57,7 @@ else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source, node); else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source, node); + else if (calledFunction.equals(POISSON.getDeclaringClass())) return new Poisson(source, node); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 58db1a8eb..c52020a95 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -164,6 +164,13 @@ public boolean canConvertTo(DType other) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/gamma")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/poisson. */ + public static final MethodReference POISSON = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/poisson")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_poisson.py b/com.ibm.wala.cast.python.test/data/tf2_test_poisson.py new file mode 100644 index 000000000..2526733a3 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_poisson.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(a): + pass + + +samples = tf.random.poisson([10], [0.5, 1.5]) +# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents +# the samples drawn from each distribution +assert samples.shape == (10, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_poisson2.py b/com.ibm.wala.cast.python.test/data/tf2_test_poisson2.py new file mode 100644 index 000000000..114a4446a --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_poisson2.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(a): + pass + + +samples = tf.random.poisson([10], [0.5, 1.5], tf.float32) +# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents +# the samples drawn from each distribution +assert samples.shape == (10, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_poisson3.py b/com.ibm.wala.cast.python.test/data/tf2_test_poisson3.py new file mode 100644 index 000000000..00baee375 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_poisson3.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(a): + pass + + +samples = tf.random.poisson([10], [0.5, 1.5], tf.float64) +# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents +# the samples drawn from each distribution +assert samples.shape == (10, 2) +assert samples.dtype == tf.float32 + +f(samples) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_poisson4.py b/com.ibm.wala.cast.python.test/data/tf2_test_poisson4.py new file mode 100644 index 000000000..2e4b3ab2d --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_poisson4.py @@ -0,0 +1,14 @@ +import tensorflow as tf + + +def f(a): + pass + + +samples = tf.random.poisson([7, 5], [12.2, 3.3]) +# samples has shape [7, 5, 2], where each slice [:, :, 0] and [:, :, 1] +# represents the 7x5 samples drawn from each of the two distributions +assert samples.shape == (7, 5, 2) +assert samples.dtype == tf.float32 + +f(samples) From 550c997fe495cc047379e8828a970ae4465f5f8d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 11 Nov 2025 10:50:33 -0500 Subject: [PATCH 213/253] Make enums protected. --- .../source/com/ibm/wala/cast/python/ml/client/Eye.java | 2 +- .../source/com/ibm/wala/cast/python/ml/client/Gamma.java | 2 +- .../source/com/ibm/wala/cast/python/ml/client/OneHot.java | 2 +- .../source/com/ibm/wala/cast/python/ml/client/Poisson.java | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java index e1f2c4381..cb56f3142 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -29,7 +29,7 @@ public class Eye extends Ones { private static final int SHAPE_PARAMETER_POSITION = -1; - enum Parameters { + protected enum Parameters { NUM_ROWS, NUM_COLUMNS, BATCH_SHAPE, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java index aa2b727a4..8306ff7c6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -24,7 +24,7 @@ public class Gamma extends Ones { private static final String FUNCTION_NAME = "tf.random.gamma()"; - enum Parameters { + protected enum Parameters { SHAPE, ALPHA, BETA, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 5e192df64..15d29a891 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -30,7 +30,7 @@ public class OneHot extends Ones { private static final int AXIS_END = -1; - enum Parameters { + protected enum Parameters { INDICES, DEPTH, ON_VALUE, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index c5a608728..4b986d8bc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -23,7 +23,7 @@ public class Poisson extends Ones { private static final String FUNCTION_NAME = "tf.random.poisson()"; - enum Parameters { + protected enum Parameters { SHAPE, LAM, DTYPE, From cb07edcc41e4d069a1c9ec810bcb3274809ed3a4 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 11 Nov 2025 11:26:39 -0500 Subject: [PATCH 214/253] Handle `tf.sparse.eye()` in addition to `tf.eye()`. --- .../python/ml/test/TestTensorflow2Model.java | 63 +++++++- .../ibm/wala/cast/python/ml/client/Eye.java | 110 +------------ .../wala/cast/python/ml/client/SparseEye.java | 151 ++++++++++++++++++ .../ml/client/TensorGeneratorFactory.java | 3 + .../cast/python/ml/types/TensorFlowTypes.java | 8 + .../data/tf2_test_sparse_eye.py | 12 ++ .../data/tf2_test_sparse_eye2.py | 12 ++ .../data/tf2_test_sparse_eye3.py | 12 ++ .../data/tf2_test_sparse_eye4.py | 12 ++ .../data/tf2_test_sparse_eye5.py | 12 ++ .../data/tf2_test_sparse_eye6.py | 12 ++ 11 files changed, 296 insertions(+), 111 deletions(-) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye5.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 5f2971508..d389acdee 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -107,6 +107,18 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_10_2_FLOAT64 = new TensorType(FLOAT_64, asList(new NumericDim(10), new NumericDim(2))); + private static final TensorType TENSOR_5_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(5), new NumericDim(2))); + + private static final TensorType TENSOR_5_2_INT32 = + new TensorType(INT_32, asList(new NumericDim(5), new NumericDim(2))); + + private static final TensorType TENSOR_5_5_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(5), new NumericDim(5))); + + private static final TensorType TENSOR_5_5_INT32 = + new TensorType(INT_32, asList(new NumericDim(5), new NumericDim(5))); + private static final TensorType TENSOR_2_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3), new NumericDim(3))); @@ -1928,19 +1940,34 @@ public void testAdd110() @Test public void testAdd111() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add111.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add111.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_3_FLOAT32), 3, Set.of(TENSOR_2_3_FLOAT32))); } @Test public void testAdd112() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add112.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add112.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_3_FLOAT32), 3, Set.of(TENSOR_2_3_FLOAT32))); } @Test public void testAdd113() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { - test("tf2_test_add113.py", "add", 2, 2, Map.of(2, Set.of(MNIST_INPUT), 3, Set.of(MNIST_INPUT))); + test( + "tf2_test_add113.py", + "add", + 2, + 2, + Map.of(2, Set.of(TENSOR_2_3_FLOAT32), 3, Set.of(TENSOR_2_3_FLOAT32))); } @Test @@ -4505,6 +4532,36 @@ public void testPoisson4() test("tf2_test_poisson4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_7_5_2_FLOAT32))); } + @Test + public void testSparseEye() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_5_FLOAT32))); + } + + @Test + public void testSparseEye2() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_5_FLOAT32))); + } + + @Test + public void testSparseEye3() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_5_INT32))); + } + + @Test + public void testSparseEye4() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_2_FLOAT32))); + } + + @Test + public void testSparseEye5() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye5.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_2_FLOAT32))); + } + + @Test + public void testSparseEye6() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_sparse_eye6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_2_INT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java index cb56f3142..1f401405c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -2,33 +2,23 @@ import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.BATCH_SHAPE; import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.DTYPE; -import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_COLUMNS; -import static com.ibm.wala.cast.python.ml.client.Eye.Parameters.NUM_ROWS; import static java.util.Collections.emptySet; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; -import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; -import java.util.ArrayList; import java.util.List; -import java.util.Optional; import java.util.Set; -import java.util.stream.Collectors; -import java.util.stream.StreamSupport; -public class Eye extends Ones { +public class Eye extends SparseEye { private static final String FUNCTION_NAME = "tf.eye()"; - private static final int SHAPE_PARAMETER_POSITION = -1; - protected enum Parameters { NUM_ROWS, NUM_COLUMNS, @@ -46,77 +36,18 @@ protected String getSignature() { return FUNCTION_NAME; } - @Override - protected int getShapeParameterPosition() { - return SHAPE_PARAMETER_POSITION; - } - - protected int getNumRowsParameterPosition() { - return NUM_ROWS.ordinal(); - } - - protected int getNumRowsArgumentValueNumber() { - return this.getArgumentValueNumber(this.getNumRowsParameterPosition()); - } - protected int getBatchShapesArgumentValueNumber() { // TOOD: Handle keyword arguments. return this.getArgumentValueNumber(this.getBatchShapeParameterPosition()); } - protected int getNumColumnsParameterPosition() { - return NUM_COLUMNS.ordinal(); - } - - protected int getNumColumnsArgumentValueNumber(PropagationCallGraphBuilder builder) { - return this.getArgumentValueNumber(this.getNumColumnsParameterPosition()); - } - protected int getBatchShapeParameterPosition() { return BATCH_SHAPE.ordinal(); } @Override protected Set>> getShapes(PropagationCallGraphBuilder builder) { - Set>> ret = HashSetFactory.make(); - Set> numRows = this.getNumberOfRows(builder); - Set> numColumns = this.getNumberOfColumns(builder); - - for (Optional nRow : numRows) { - if (numColumns.isEmpty()) - // If numColumns is not provided, it defaults to numRows. - for (Optional nCol : numRows) - // Build the shape using nRow and nCol. - numColumns.add(nCol); - - for (Optional nCol : numColumns) - if (nCol.isEmpty()) { - // If numColumns is not provided, it defaults to numRows. - for (Optional nCol2 : numRows) { - // Build the shape using nRow and nCol. - List> shape = new ArrayList<>(); - - NumericDim rowDim = new NumericDim(nRow.get()); - NumericDim colDim = new NumericDim(nCol2.get()); - - shape.add(rowDim); - shape.add(colDim); - - ret.add(shape); - } - } else { - List> shape = new ArrayList<>(); - - NumericDim rowDim = new NumericDim(nRow.get()); - NumericDim colDim = new NumericDim(nCol.get()); - - shape.add(rowDim); - shape.add(colDim); - - ret.add(shape); - } - } - + Set>> ret = super.getShapes(builder); Set>> batchShapes = this.getBatchShapes(builder); // prepend batch dimensions to each shape. @@ -126,22 +57,6 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) return ret; } - private Set> getNumberOfRows(PropagationCallGraphBuilder builder) { - // TODO Handle keyword arguments. - Set> values = - this.getPossiblePositionalArgumentValues(builder, this.getNumRowsParameterPosition()); - - if (values == null || values.isEmpty()) - throw new IllegalStateException("The num_rows parameter is required for tf.eye()."); - - return values; - } - - private Set> getNumberOfColumns(PropagationCallGraphBuilder builder) { - // TODO Handle keyword arguments. - return this.getPossiblePositionalArgumentValues(builder, this.getNumColumnsParameterPosition()); - } - private Set>> getBatchShapes(PropagationCallGraphBuilder builder) { // TODO Handle keyword arguments. Set possibleNumArgs = this.getNumberOfPossiblePositionalArguments(builder); @@ -169,27 +84,6 @@ private Set>> getBatchShapes(PropagationCallGraphBuilder build return emptySet(); } - private Set> getPossiblePositionalArgumentValues( - PropagationCallGraphBuilder builder, int paramPosition) { - PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - Set possibleNumArgs = this.getNumberOfPossiblePositionalArguments(builder); - - return possibleNumArgs.stream() - .filter(numArgs -> numArgs >= paramPosition + 1) - .map( - _ -> { - PointerKey pointerKey = - pointerAnalysis - .getHeapModel() - .getPointerKeyForLocal( - this.getNode(), this.getArgumentValueNumber(paramPosition)); - return pointerAnalysis.getPointsToSet(pointerKey); - }) - .flatMap(pts -> StreamSupport.stream(pts.spliterator(), false)) - .map(Eye::getIntValueFromInstanceKey) - .collect(Collectors.toSet()); - } - @Override protected int getDTypeParameterPosition() { return DTYPE.ordinal(); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java new file mode 100644 index 000000000..cdb507bff --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java @@ -0,0 +1,151 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.client.SparseEye.Parameters.DTYPE; +import static com.ibm.wala.cast.python.ml.client.SparseEye.Parameters.NUM_COLUMNS; +import static com.ibm.wala.cast.python.ml.client.SparseEye.Parameters.NUM_ROWS; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.ipa.callgraph.CGNode; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.util.collections.HashSetFactory; +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.StreamSupport; + +public class SparseEye extends Ones { + + private static final String FUNCTION_NAME = "tf.sparse.eye()"; + + private static final int SHAPE_PARAMETER_POSITION = -1; + + protected enum Parameters { + NUM_ROWS, + NUM_COLUMNS, + DTYPE, + NAME + } + + public SparseEye(PointsToSetVariable source, CGNode node) { + super(source, node); + } + + private Set> getPossiblePositionalArgumentValues( + PropagationCallGraphBuilder builder, int paramPosition) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + Set possibleNumArgs = this.getNumberOfPossiblePositionalArguments(builder); + + return possibleNumArgs.stream() + .filter(numArgs -> numArgs >= paramPosition + 1) + .map( + _ -> { + PointerKey pointerKey = + pointerAnalysis + .getHeapModel() + .getPointerKeyForLocal( + this.getNode(), this.getArgumentValueNumber(paramPosition)); + return pointerAnalysis.getPointsToSet(pointerKey); + }) + .flatMap(pts -> StreamSupport.stream(pts.spliterator(), false)) + .map(SparseEye::getIntValueFromInstanceKey) + .collect(Collectors.toSet()); + } + + @Override + protected Set>> getShapes(PropagationCallGraphBuilder builder) { + Set>> ret = HashSetFactory.make(); + Set> numRows = this.getNumberOfRows(builder); + Set> numColumns = this.getNumberOfColumns(builder); + + for (Optional nRow : numRows) { + if (numColumns.isEmpty()) + // If numColumns is not provided, it defaults to numRows. + for (Optional nCol : numRows) + // Build the shape using nRow and nCol. + numColumns.add(nCol); + + for (Optional nCol : numColumns) + if (nCol.isEmpty()) { + // If numColumns is not provided, it defaults to numRows. + for (Optional nCol2 : numRows) { + // Build the shape using nRow and nCol. + List> shape = new ArrayList<>(); + + NumericDim rowDim = new NumericDim(nRow.get()); + NumericDim colDim = new NumericDim(nCol2.get()); + + shape.add(rowDim); + shape.add(colDim); + + ret.add(shape); + } + } else { + List> shape = new ArrayList<>(); + + NumericDim rowDim = new NumericDim(nRow.get()); + NumericDim colDim = new NumericDim(nCol.get()); + + shape.add(rowDim); + shape.add(colDim); + + ret.add(shape); + } + } + + return ret; + } + + private Set> getNumberOfRows(PropagationCallGraphBuilder builder) { + // TODO Handle keyword arguments. + Set> values = + this.getPossiblePositionalArgumentValues(builder, this.getNumRowsParameterPosition()); + + if (values == null || values.isEmpty()) + throw new IllegalStateException("The num_rows parameter is required for tf.eye()."); + + return values; + } + + private Set> getNumberOfColumns(PropagationCallGraphBuilder builder) { + // TODO Handle keyword arguments. + return this.getPossiblePositionalArgumentValues(builder, this.getNumColumnsParameterPosition()); + } + + @Override + protected int getShapeParameterPosition() { + return SHAPE_PARAMETER_POSITION; + } + + protected int getNumRowsParameterPosition() { + return NUM_ROWS.ordinal(); + } + + protected int getNumRowsArgumentValueNumber() { + return this.getArgumentValueNumber(this.getNumRowsParameterPosition()); + } + + protected int getNumColumnsParameterPosition() { + return NUM_COLUMNS.ordinal(); + } + + @Override + protected int getDTypeParameterPosition() { + return DTYPE.ordinal(); + } + + protected int getNumColumnsArgumentValueNumber(PropagationCallGraphBuilder builder) { + return this.getArgumentValueNumber(this.getNumColumnsParameterPosition()); + } + + @Override + protected String getSignature() { + return FUNCTION_NAME; + } +} diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index f002c75bc..69c652823 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -10,6 +10,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONE_HOT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.POISSON; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.SPARSE_EYE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TRUNCATED_NORMAL; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS; @@ -56,6 +57,8 @@ else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) return new ConvertToTensor(source, node); else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source, node); + else if (calledFunction.equals(SPARSE_EYE.getDeclaringClass())) + return new SparseEye(source, node); else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source, node); else if (calledFunction.equals(POISSON.getDeclaringClass())) return new Poisson(source, node); else diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index c52020a95..a76aabb9a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -157,6 +157,14 @@ public boolean canConvertTo(DType other) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/eye")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/sparse/eye. */ + public static final MethodReference SPARSE_EYE = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/sparse_eye")), + AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/gamma. */ public static final MethodReference GAMMA = MethodReference.findOrCreate( diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye.py new file mode 100644 index 000000000..ca2dd04eb --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5) +assert a.shape == (5, 5) +assert a.dtype == tf.float32 + +f(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye2.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye2.py new file mode 100644 index 000000000..b70589922 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye2.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5, None, tf.float32) +assert a.shape == (5, 5) +assert a.dtype == tf.float32 + +f(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye3.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye3.py new file mode 100644 index 000000000..f0b9985e8 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye3.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5, None, tf.int32) +assert a.shape == (5, 5) +assert a.dtype == tf.int32 + +f(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye4.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye4.py new file mode 100644 index 000000000..2ce5bc0bf --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye4.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5, 2) +assert a.shape == (5, 2) +assert a.dtype == tf.float32 + +f(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye5.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye5.py new file mode 100644 index 000000000..c0af0ed95 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye5.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5, 2, tf.float32) +assert a.shape == (5, 2) +assert a.dtype == tf.float32 + +f(a) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye6.py b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye6.py new file mode 100644 index 000000000..c7d79e62b --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_sparse_eye6.py @@ -0,0 +1,12 @@ +import tensorflow as tf + + +def f(a): + pass + + +a = tf.sparse.eye(5, 2, tf.int32) +assert a.shape == (5, 2) +assert a.dtype == tf.int32 + +f(a) From ab386c0216df4211c25b5109555b890222475f33 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 08:24:42 +0900 Subject: [PATCH 215/253] Metadata. --- com.ibm.wala.cast.python.jython.test/.classpath | 2 +- .../.settings/org.eclipse.jdt.core.prefs | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.jython.test/.classpath b/com.ibm.wala.cast.python.jython.test/.classpath index 31e723f69..b42c2ab11 100644 --- a/com.ibm.wala.cast.python.jython.test/.classpath +++ b/com.ibm.wala.cast.python.jython.test/.classpath @@ -1,6 +1,6 @@ - + diff --git a/com.ibm.wala.cast.python.jython.test/.settings/org.eclipse.jdt.core.prefs b/com.ibm.wala.cast.python.jython.test/.settings/org.eclipse.jdt.core.prefs index d8beab637..e07813d29 100644 --- a/com.ibm.wala.cast.python.jython.test/.settings/org.eclipse.jdt.core.prefs +++ b/com.ibm.wala.cast.python.jython.test/.settings/org.eclipse.jdt.core.prefs @@ -10,8 +10,8 @@ org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled -org.eclipse.jdt.core.compiler.codegen.targetPlatform=21 -org.eclipse.jdt.core.compiler.compliance=21 +org.eclipse.jdt.core.compiler.codegen.targetPlatform=25 +org.eclipse.jdt.core.compiler.compliance=25 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled @@ -19,6 +19,6 @@ org.eclipse.jdt.core.compiler.problem.enumIdentifier=error org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore org.eclipse.jdt.core.compiler.release=enabled -org.eclipse.jdt.core.compiler.source=21 +org.eclipse.jdt.core.compiler.source=25 org.eclipse.jdt.core.incompatibleJDKLevel=ignore org.eclipse.jdt.core.incompleteClasspath=error From 9edba61aaaf92f19f3ee7d8575e1340aef508d77 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 08:25:24 +0900 Subject: [PATCH 216/253] Fix comment. --- .../source/com/ibm/wala/cast/python/ml/client/Poisson.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index 4b986d8bc..23b1133cb 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -65,7 +65,7 @@ protected Set>> getShapes(PropagationCallGraphBuilder builder) throw new IllegalStateException( "Cannot determine shape for " + this.getSignature() + " call."); - // Get the shape of the alpha parameter. + // Get the shape of the lam parameter. Set>> lamShapes = this.getShapes(builder, this.getLamParameterValueNumber(builder)); From ca3606962c0cb3391b92af5b78d133bdc72ea6ca Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 11:24:57 +0900 Subject: [PATCH 217/253] Extract method. --- .../ibm/wala/cast/python/ml/client/Poisson.java | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index 23b1133cb..5bfdab4c4 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -44,16 +44,22 @@ protected int getLamParameterPosition() { return LAM.ordinal(); } - protected int getLamParameterValueNumber(PropagationCallGraphBuilder builder) { + protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int parameterPosition) { Set numberOfPossiblePositionalArguments = this.getNumberOfPossiblePositionalArguments(builder); - int lamParameterPosition = this.getLamParameterPosition(); - if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= lamParameterPosition + 1)) + if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= parameterPosition + 1)) throw new IllegalStateException( - "Cannot determine value number for 'lam' parameter of " + FUNCTION_NAME); + "Cannot determine value number for parameter at position " + + parameterPosition + + " of " + + this.getSignature()); + + return this.getArgumentValueNumber(parameterPosition); + } - return this.getArgumentValueNumber(lamParameterPosition); + protected int getLamParameterValueNumber(PropagationCallGraphBuilder builder) { + return this.getArgumentValueNumber(this.getLamParameterPosition()); } @Override From 57707ef153c67b7f2babb4f885163c9da15f0764 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sat, 15 Nov 2025 21:32:49 -0500 Subject: [PATCH 218/253] Pull up method. --- .../ibm/wala/cast/python/ml/client/Poisson.java | 14 -------------- .../cast/python/ml/client/TensorGenerator.java | 14 ++++++++++++++ 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index 5bfdab4c4..083244796 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -44,20 +44,6 @@ protected int getLamParameterPosition() { return LAM.ordinal(); } - protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int parameterPosition) { - Set numberOfPossiblePositionalArguments = - this.getNumberOfPossiblePositionalArguments(builder); - - if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= parameterPosition + 1)) - throw new IllegalStateException( - "Cannot determine value number for parameter at position " - + parameterPosition - + " of " - + this.getSignature()); - - return this.getArgumentValueNumber(parameterPosition); - } - protected int getLamParameterValueNumber(PropagationCallGraphBuilder builder) { return this.getArgumentValueNumber(this.getLamParameterPosition()); } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 84a388e3b..d71da7f60 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -669,6 +669,20 @@ protected int getArgumentValueNumber(int parameterPosition) { : this.getNode().getIR().getParameter(parameterPosition + 1); } + protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int parameterPosition) { + Set numberOfPossiblePositionalArguments = + this.getNumberOfPossiblePositionalArguments(builder); + + if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= parameterPosition + 1)) + throw new IllegalStateException( + "Cannot determine value number for parameter at position " + + parameterPosition + + " of " + + this.getSignature()); + + return this.getArgumentValueNumber(parameterPosition); + } + /** * Returns the set of possible numbers of positional arguments passed to the range function at the * call. From efa5f80f422c8d99c065f6badca5d5b2c6a30c2c Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 11:34:14 +0900 Subject: [PATCH 219/253] Shorten variable names. --- .../wala/cast/python/ml/client/TensorGenerator.java | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index d71da7f60..0a244bc1b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -669,18 +669,17 @@ protected int getArgumentValueNumber(int parameterPosition) { : this.getNode().getIR().getParameter(parameterPosition + 1); } - protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int parameterPosition) { - Set numberOfPossiblePositionalArguments = - this.getNumberOfPossiblePositionalArguments(builder); + protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int paramPos) { + Set numArgs = this.getNumberOfPossiblePositionalArguments(builder); - if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= parameterPosition + 1)) + if (!numArgs.stream().anyMatch(n -> n >= paramPos + 1)) throw new IllegalStateException( "Cannot determine value number for parameter at position " - + parameterPosition + + paramPos + " of " + this.getSignature()); - return this.getArgumentValueNumber(parameterPosition); + return this.getArgumentValueNumber(paramPos); } /** From e339bc51923bcf46d4c03bc824e7c78ff62e9951 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 11:39:09 +0900 Subject: [PATCH 220/253] Fix missing argument. --- .../source/com/ibm/wala/cast/python/ml/client/Poisson.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index 083244796..3ebcd7a59 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -45,7 +45,7 @@ protected int getLamParameterPosition() { } protected int getLamParameterValueNumber(PropagationCallGraphBuilder builder) { - return this.getArgumentValueNumber(this.getLamParameterPosition()); + return this.getArgumentValueNumber(builder, this.getLamParameterPosition()); } @Override From 690b8dded765d1a12bcb1500e1645fb966d9ee8e Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 12:19:36 +0900 Subject: [PATCH 221/253] Allow optional parameters. --- .../python/ml/client/TensorGenerator.java | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 0a244bc1b..e90d74cc6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -669,19 +669,26 @@ protected int getArgumentValueNumber(int parameterPosition) { : this.getNode().getIR().getParameter(parameterPosition + 1); } - protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int paramPos) { + protected int getArgumentValueNumber( + PropagationCallGraphBuilder builder, int paramPos, boolean optional) { Set numArgs = this.getNumberOfPossiblePositionalArguments(builder); if (!numArgs.stream().anyMatch(n -> n >= paramPos + 1)) - throw new IllegalStateException( - "Cannot determine value number for parameter at position " - + paramPos - + " of " - + this.getSignature()); + if (optional) return -1; + else + throw new IllegalStateException( + "Cannot determine value number for parameter at position " + + paramPos + + " of " + + this.getSignature()); return this.getArgumentValueNumber(paramPos); } + protected int getArgumentValueNumber(PropagationCallGraphBuilder builder, int paramPos) { + return this.getArgumentValueNumber(builder, paramPos, false); + } + /** * Returns the set of possible numbers of positional arguments passed to the range function at the * call. From de7b1f7a4b7a75dc353d6fba642d51c44fedf3bd Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sun, 16 Nov 2025 12:22:02 +0900 Subject: [PATCH 222/253] Reuse code in `Gamma`. --- .../ibm/wala/cast/python/ml/client/Gamma.java | 20 ++----------------- 1 file changed, 2 insertions(+), 18 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java index 8306ff7c6..21917574b 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -51,27 +51,11 @@ protected int getBetaParameterPosition() { } protected int getAlphaParameterValueNumber(PropagationCallGraphBuilder builder) { - Set numberOfPossiblePositionalArguments = - this.getNumberOfPossiblePositionalArguments(builder); - int alphaParameterPosition = this.getAlphaParameterPosition(); - - if (!numberOfPossiblePositionalArguments.stream() - .anyMatch(n -> n >= alphaParameterPosition + 1)) - throw new IllegalStateException( - "Alpha parameter is mandatory and must be provided explicitly."); - - return this.getArgumentValueNumber(alphaParameterPosition); + return this.getArgumentValueNumber(builder, this.getAlphaParameterPosition()); } protected int getBetaParameterValueNumber(PropagationCallGraphBuilder builder) { - Set numberOfPossiblePositionalArguments = - this.getNumberOfPossiblePositionalArguments(builder); - int betaParameterPosition = this.getBetaParameterPosition(); - - if (!numberOfPossiblePositionalArguments.stream().anyMatch(n -> n >= betaParameterPosition + 1)) - return -1; // Beta parameter is optional. - - return this.getArgumentValueNumber(betaParameterPosition); + return this.getArgumentValueNumber(builder, this.getBetaParameterPosition(), true); } @Override From e55de3b5ca92d2fada615c67dbff4eedf10700ce Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 24 Nov 2025 14:34:21 -0500 Subject: [PATCH 223/253] Remove `node` from `TensorGenerator` and its subclasses. We don't need both `source` and `node` since `node` can be obtained from `source`. --- .../wala/cast/python/ml/client/Constant.java | 5 +-- .../python/ml/client/ConvertToTensor.java | 5 +-- .../ibm/wala/cast/python/ml/client/Eye.java | 5 +-- .../ibm/wala/cast/python/ml/client/Fill.java | 5 +-- .../ibm/wala/cast/python/ml/client/Gamma.java | 5 +-- .../wala/cast/python/ml/client/Normal.java | 5 +-- .../wala/cast/python/ml/client/OneHot.java | 5 +-- .../ibm/wala/cast/python/ml/client/Ones.java | 5 +-- .../wala/cast/python/ml/client/Poisson.java | 5 +-- .../ibm/wala/cast/python/ml/client/Range.java | 5 +-- .../wala/cast/python/ml/client/SparseEye.java | 5 +-- .../python/ml/client/TensorGenerator.java | 44 ++++++++++++------- .../ml/client/TensorGeneratorFactory.java | 39 +++++++--------- .../python/ml/client/TruncatedNormal.java | 5 +-- .../wala/cast/python/ml/client/Uniform.java | 5 +-- .../ibm/wala/cast/python/ml/client/Zeros.java | 5 +-- .../wala/cast/python/ml/client/ZerosLike.java | 5 +-- 17 files changed, 74 insertions(+), 84 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index 73ec61f69..beb20702c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -2,7 +2,6 @@ import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import java.util.EnumSet; @@ -25,8 +24,8 @@ public class Constant extends TensorGenerator { private static final int SHAPE_PARAMETER_POSITION = 2; - public Constant(PointsToSetVariable source, CGNode node) { - super(source, node); + public Constant(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java index ec40f0901..1431e8f39 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java @@ -1,7 +1,6 @@ package com.ibm.wala.cast.python.ml.client; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -79,8 +78,8 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { } } - public ConvertToTensor(PointsToSetVariable source, CGNode node) { - super(source, node); + public ConvertToTensor(PointsToSetVariable source) { + super(source); } /** diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java index 1f401405c..1262d22f3 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Eye.java @@ -5,7 +5,6 @@ import static java.util.Collections.emptySet; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -27,8 +26,8 @@ protected enum Parameters { NAME } - public Eye(PointsToSetVariable source, CGNode node) { - super(source, node); + public Eye(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java index 1941b47b2..74f80de0a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Fill.java @@ -1,7 +1,6 @@ package com.ibm.wala.cast.python.ml.client; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import java.util.List; @@ -30,8 +29,8 @@ public class Fill extends Constant { */ private static final int VALUE_NUMBER_FOR_DTYPE_ARGUMENT = -1; - public Fill(PointsToSetVariable source, CGNode node) { - super(source, node); + public Fill(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java index 21917574b..8bff735cc 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Gamma.java @@ -5,7 +5,6 @@ import static com.ibm.wala.cast.python.ml.client.Gamma.Parameters.DTYPE; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.util.collections.HashSetFactory; @@ -33,8 +32,8 @@ protected enum Parameters { NAME } - public Gamma(PointsToSetVariable source, CGNode node) { - super(source, node); + public Gamma(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java index f627b89ed..ac27a2277 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Normal.java @@ -1,6 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; /** @@ -14,8 +13,8 @@ public class Normal extends Uniform { private static final String FUNCTION_NAME = "tf.random.normal()"; - public Normal(PointsToSetVariable source, CGNode node) { - super(source, node); + public Normal(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java index 15d29a891..a5b596786 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/OneHot.java @@ -11,7 +11,6 @@ import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -39,8 +38,8 @@ protected enum Parameters { DTYPE } - public OneHot(PointsToSetVariable source, CGNode node) { - super(source, node); + public OneHot(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index 8ed90b439..b5ad440f6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -5,7 +5,6 @@ import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; @@ -31,8 +30,8 @@ public class Ones extends TensorGenerator { private static final int DTYPE_PARAMETER_POSITION = 1; - public Ones(PointsToSetVariable source, CGNode node) { - super(source, node); + public Ones(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java index 3ebcd7a59..8b1f4af80 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Poisson.java @@ -4,7 +4,6 @@ import static com.ibm.wala.cast.python.ml.client.Poisson.Parameters.LAM; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; import com.ibm.wala.util.collections.HashSetFactory; @@ -31,8 +30,8 @@ protected enum Parameters { NAME } - public Poisson(PointsToSetVariable source, CGNode node) { - super(source, node); + public Poisson(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java index 961f5fab6..643178a83 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Range.java @@ -5,7 +5,6 @@ import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; @@ -38,8 +37,8 @@ public class Range extends TensorGenerator { private static final String FUNCTION_NAME = "tf.range()"; - public Range(PointsToSetVariable source, CGNode node) { - super(source, node); + public Range(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java index cdb507bff..f8f5a2706 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/SparseEye.java @@ -6,7 +6,6 @@ import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; @@ -33,8 +32,8 @@ protected enum Parameters { NAME } - public SparseEye(PointsToSetVariable source, CGNode node) { - super(source, node); + public SparseEye(PointsToSetVariable source) { + super(source); } private Set> getPossiblePositionalArgumentValues( diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index e90d74cc6..ec501f051 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -31,6 +31,7 @@ import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; @@ -63,11 +64,8 @@ public abstract class TensorGenerator { protected PointsToSetVariable source; - protected CGNode node; - - public TensorGenerator(PointsToSetVariable source, CGNode node) { + public TensorGenerator(PointsToSetVariable source) { this.source = source; - this.node = node; } public Set getTensorTypes(PropagationCallGraphBuilder builder) { @@ -95,7 +93,7 @@ protected Set>> getShapesFromShapeArgument( if (pointsToSet == null || !pointsToSet.iterator().hasNext()) // TODO: The shape argument could be a tensor, in which case the points-to set would be empty. throw new IllegalArgumentException( - "Empty points-to set for shape argument in source: " + source + "."); + "Empty points-to set for shape argument in source: " + this.getSource() + "."); Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -151,7 +149,11 @@ protected Set>> getShapesFromShapeArgument( // We have a shape value. Long shapeValue = (Long) instanceFieldValue; LOGGER.fine( - "Found shape value: " + shapeValue + " for " + source.getPointerKey() + "."); + "Found shape value: " + + shapeValue + + " for " + + this.getSource().getPointerKey() + + "."); Dimension dimension = new NumericDim(shapeValue.intValue()); @@ -172,7 +174,7 @@ protected Set>> getShapesFromShapeArgument( + " for field: " + pointerKeyForInstanceField + " for source: " - + source + + this.getSource() + "."); // Add the shape dimensions. @@ -300,7 +302,7 @@ private Set>> getShapesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( - "Empty points-to set for value in source: " + source + "."); + "Empty points-to set for value in source: " + this.getSource() + "."); Set>> ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -375,7 +377,7 @@ protected EnumSet getDTypesFromDTypeArgument( PropagationCallGraphBuilder builder, Iterable pointsToSet) { if (pointsToSet == null || !pointsToSet.iterator().hasNext()) throw new IllegalArgumentException( - "Empty points-to set for dtype argument in source: " + source + "."); + "Empty points-to set for dtype argument in source: " + this.getSource() + "."); EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -388,7 +390,10 @@ protected EnumSet getDTypesFromDTypeArgument( if (value == null) { LOGGER.info( - "DType argument is None for source: " + source + "; using default dtypes." + "."); + "DType argument is None for source: " + + this.getSource() + + "; using default dtypes." + + "."); return getDefaultDTypes(builder); } } @@ -431,7 +436,8 @@ protected EnumSet getDTypesFromDTypeArgument( .collect(toSet()); if (importNodesOfInterest.isEmpty()) - throw new IllegalStateException("No import nodes found for source: " + source + "."); + throw new IllegalStateException( + "No import nodes found for source: " + this.getSource() + "."); boolean found = false; @@ -459,7 +465,7 @@ protected EnumSet getDTypesFromDTypeArgument( "Found dtype: " + dtype + " for source: " - + source + + this.getSource() + " from dType: " + instanceKey + "."); @@ -557,7 +563,7 @@ private EnumSet getDTypesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( - "Empty points-to set for value in source: " + source + "."); + "Empty points-to set for value in source: " + this.getSource() + "."); EnumSet ret = EnumSet.noneOf(DType.class); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -572,7 +578,7 @@ private EnumSet getDTypesOfValue( "Inferred dtype: " + FLOAT32 + " for source: " - + source + + this.getSource() + " from value: " + value + "."); @@ -582,7 +588,7 @@ private EnumSet getDTypesOfValue( "Inferred dtype: " + INT32 + " for source: " - + source + + this.getSource() + " from value: " + value + "."); @@ -592,7 +598,7 @@ private EnumSet getDTypesOfValue( "Inferred dtype: " + STRING + " for source: " - + source + + this.getSource() + " from value: " + value + "."); @@ -645,8 +651,12 @@ private EnumSet getDTypesOfValue( return ret; } + protected PointsToSetVariable getSource() { + return this.source; + } + protected CGNode getNode() { - return this.node; + return ((LocalPointerKey) this.getSource().getPointerKey()).getNode(); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 69c652823..829c21c6c 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -16,7 +16,6 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS_LIKE; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; @@ -36,31 +35,27 @@ public static TensorGenerator getGenerator(PointsToSetVariable source) { // Get the pointer key for the source. PointerKey pointerKey = source.getPointerKey(); - LocalPointerKey localPointerKey = (LocalPointerKey) pointerKey; - CGNode node = localPointerKey.getNode(); - - TypeReference calledFunction = node.getMethod().getDeclaringClass().getReference(); + TypeReference calledFunction = + ((LocalPointerKey) pointerKey).getNode().getMethod().getDeclaringClass().getReference(); LOGGER.info("Getting tensor generator for call to: " + calledFunction.getName() + "."); - if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source, node); - else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source, node); - else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source, node); - else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source, node); - else if (calledFunction.equals(NORMAL.getDeclaringClass())) return new Normal(source, node); + if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source); + else if (calledFunction.equals(CONSTANT.getDeclaringClass())) return new Constant(source); + else if (calledFunction.equals(RANGE.getDeclaringClass())) return new Range(source); + else if (calledFunction.equals(UNIFORM.getDeclaringClass())) return new Uniform(source); + else if (calledFunction.equals(NORMAL.getDeclaringClass())) return new Normal(source); else if (calledFunction.equals(TRUNCATED_NORMAL.getDeclaringClass())) - return new TruncatedNormal(source, node); - else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source, node); - else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) - return new ZerosLike(source, node); - else if (calledFunction.equals(FILL.getDeclaringClass())) return new Fill(source, node); + return new TruncatedNormal(source); + else if (calledFunction.equals(ZEROS.getDeclaringClass())) return new Zeros(source); + else if (calledFunction.equals(ZEROS_LIKE.getDeclaringClass())) return new ZerosLike(source); + else if (calledFunction.equals(FILL.getDeclaringClass())) return new Fill(source); else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) - return new ConvertToTensor(source, node); - else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source, node); - else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source, node); - else if (calledFunction.equals(SPARSE_EYE.getDeclaringClass())) - return new SparseEye(source, node); - else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source, node); - else if (calledFunction.equals(POISSON.getDeclaringClass())) return new Poisson(source, node); + return new ConvertToTensor(source); + else if (calledFunction.equals(ONE_HOT.getDeclaringClass())) return new OneHot(source); + else if (calledFunction.equals(EYE.getDeclaringClass())) return new Eye(source); + else if (calledFunction.equals(SPARSE_EYE.getDeclaringClass())) return new SparseEye(source); + else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source); + else if (calledFunction.equals(POISSON.getDeclaringClass())) return new Poisson(source); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java index f2a70378c..c092490a9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TruncatedNormal.java @@ -1,6 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; /** @@ -15,8 +14,8 @@ public class TruncatedNormal extends Normal { private static final String FUNCTION_NAME = "tf.random.truncated_normal()"; - public TruncatedNormal(PointsToSetVariable source, CGNode node) { - super(source, node); + public TruncatedNormal(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java index a202f5693..eb544a4d9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Uniform.java @@ -1,6 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; /** @@ -16,8 +15,8 @@ public class Uniform extends Ones { private static final int DTYPE_PARAMETER_POSITION = 3; - public Uniform(PointsToSetVariable source, CGNode node) { - super(source, node); + public Uniform(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java index dd429b2a1..62a517485 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Zeros.java @@ -1,6 +1,5 @@ package com.ibm.wala.cast.python.ml.client; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; /** @@ -13,8 +12,8 @@ public class Zeros extends Ones { private static final String FUNCTION_NAME = "tf.zeros()"; - public Zeros(PointsToSetVariable source, CGNode node) { - super(source, node); + public Zeros(PointsToSetVariable source) { + super(source); } @Override diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java index c015b9ab1..c24990ae6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ZerosLike.java @@ -1,7 +1,6 @@ package com.ibm.wala.cast.python.ml.client; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; -import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; @@ -25,8 +24,8 @@ public class ZerosLike extends Constant { */ private static final int SHAPE_PARAMETER_POSITION = -1; - public ZerosLike(PointsToSetVariable source, CGNode node) { - super(source, node); + public ZerosLike(PointsToSetVariable source) { + super(source); } @Override From 3598eb4fc89dabfca47dbea1439374da7ba74188 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 25 Nov 2025 11:21:53 -0500 Subject: [PATCH 224/253] Extract method to Util class. --- .../ml/client/TensorGeneratorFactory.java | 9 ++------ .../com/ibm/wala/cast/python/util/Util.java | 21 +++++++++++++++++++ 2 files changed, 23 insertions(+), 7 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 829c21c6c..28d7255b2 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -15,9 +15,8 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.UNIFORM; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ZEROS_LIKE; +import static com.ibm.wala.cast.python.util.Util.getFunction; -import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; -import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.types.TypeReference; import java.util.logging.Logger; @@ -32,11 +31,7 @@ public class TensorGeneratorFactory { private static final Logger LOGGER = Logger.getLogger(TensorGeneratorFactory.class.getName()); public static TensorGenerator getGenerator(PointsToSetVariable source) { - // Get the pointer key for the source. - PointerKey pointerKey = source.getPointerKey(); - - TypeReference calledFunction = - ((LocalPointerKey) pointerKey).getNode().getMethod().getDeclaringClass().getReference(); + TypeReference calledFunction = getFunction(source); LOGGER.info("Getting tensor generator for call to: " + calledFunction.getName() + "."); if (calledFunction.equals(ONES.getDeclaringClass())) return new Ones(source); diff --git a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/util/Util.java b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/util/Util.java index a47dc142b..794e70cf8 100644 --- a/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/util/Util.java +++ b/com.ibm.wala.cast.python/source/com/ibm/wala/cast/python/util/Util.java @@ -14,11 +14,15 @@ import com.ibm.wala.cast.tree.CAstAnnotation; import com.ibm.wala.cast.tree.CAstNode; import com.ibm.wala.classLoader.IClass; +import com.ibm.wala.ipa.callgraph.CGNode; import com.ibm.wala.ipa.callgraph.Entrypoint; import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.LocalPointerKey; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.types.TypeReference; import java.io.File; import java.util.ArrayList; import java.util.Arrays; @@ -230,4 +234,21 @@ else if (baseInstanceKey instanceof ConstantKey) { + instanceKey.getClass() + "."); } + + /** + * Returns the {@link TypeReference} of the function represented by the {@link CGNode} associated + * with the given {@link PointsToSetVariable}. + * + * @param source The {@link PointsToSetVariable} whose associated {@link CGNode}'s function {@link + * TypeReference} is to be retrieved. + * @return The {@link TypeReference} of the function represented by the {@link CGNode} associated + * with the given {@link PointsToSetVariable}. + */ + public static TypeReference getFunction(PointsToSetVariable source) { + return ((LocalPointerKey) source.getPointerKey()) + .getNode() + .getMethod() + .getDeclaringClass() + .getReference(); + } } From 58ea3b5efcbdfa575a89f0e87d2e4001cebabb08 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 25 Nov 2025 11:39:35 -0500 Subject: [PATCH 225/253] Add `RAGGED_CONSTANT` `MethodReference` for `tf.ragged.constant`. --- .../ibm/wala/cast/python/ml/types/TensorFlowTypes.java | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index a76aabb9a..cdedc4091 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -179,6 +179,14 @@ public boolean canConvertTo(DType other) { PythonTypes.pythonLoader, TypeName.string2TypeName("Ltensorflow/functions/poisson")), AstMethodReference.fnSelector); + /** https://www.tensorflow.org/api_docs/python/tf/ragged/constant. */ + public static final MethodReference RAGGED_CONSTANT = + MethodReference.findOrCreate( + TypeReference.findOrCreate( + PythonTypes.pythonLoader, + TypeName.string2TypeName("Ltensorflow/functions/ragged_constant")), + AstMethodReference.fnSelector); + /** * Represents the TensorFlow float32 data type. * From d3d853596440304406b8092c24a70e94994c1127 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 25 Nov 2025 11:41:13 -0500 Subject: [PATCH 226/253] Add mapping from `TypeReference` to TensorFlow signatures. --- .../com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index cdedc4091..188f9a217 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -187,6 +187,10 @@ public boolean canConvertTo(DType other) { TypeName.string2TypeName("Ltensorflow/functions/ragged_constant")), AstMethodReference.fnSelector); + /** A mapping from a {@link TypeReference} to its associated TensorFlow signature. */ + public static final Map TYPE_REFERENCE_TO_SIGNATURE = + Map.of(RAGGED_CONSTANT.getDeclaringClass(), "tf.ragged.constant"); + /** * Represents the TensorFlow float32 data type. * From 23aec08e5c317820e65c09edbd3a8528ed843446 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Tue, 25 Nov 2025 15:26:26 -0500 Subject: [PATCH 227/253] Add assertions. --- .../data/tf2_test_gradient.py | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_gradient.py b/com.ibm.wala.cast.python.test/data/tf2_test_gradient.py index 56d25a0ca..f0044fda4 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_gradient.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_gradient.py @@ -7,7 +7,23 @@ def f(a): pass -x = tf.ragged.constant([[1.0, 2.0], [3.0]]) +arg = [[1.0, 2.0], [3.0]] +assert isinstance(arg, list) +assert isinstance(arg[0], list) +assert isinstance(arg[0][0], float) +assert isinstance(arg[1], list) +assert isinstance(arg[1][0], float) +assert all(isinstance(item, float) for sublist in arg for item in sublist) +assert all(isinstance(sublist, list) for sublist in arg) +assert len(arg) == 2 +assert len(arg[0]) == 2 +assert len(arg[1]) == 1 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (2, None) +assert x.dtype == tf.float32 + with tf.GradientTape() as g: g.watch(x) y = x * x From b6249a80a38d30a81da97d058516c028434bd51b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:17:55 -0500 Subject: [PATCH 228/253] Some work on handling `tf.ragged.constant` correctly. --- .../python/ml/test/TestTensorflow2Model.java | 8 +++++++ .../ml/client/TensorGeneratorFactory.java | 3 +++ .../cast/python/ml/types/TensorFlowTypes.java | 4 +++- .../data/tf2_test_ragged_constant.py | 23 +++++++++++++++++++ 4 files changed, 37 insertions(+), 1 deletion(-) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index d389acdee..15cb573fd 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -95,6 +95,9 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(3), new NumericDim(3))); + private static final TensorType TENSOR_3_NONE_INT32 = + new TensorType(INT_32, asList(new NumericDim(3), null)); + private static final TensorType TENSOR_2_3_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3))); @@ -4562,6 +4565,11 @@ public void testSparseEye6() throws ClassHierarchyException, CancelException, IO test("tf2_test_sparse_eye6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_2_INT32))); } + @Test + public void testRaggedConstant() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_INT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java index 28d7255b2..cefe2727d 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGeneratorFactory.java @@ -9,6 +9,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONES; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.ONE_HOT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.POISSON; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RAGGED_CONSTANT; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.RANGE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.SPARSE_EYE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TRUNCATED_NORMAL; @@ -51,6 +52,8 @@ else if (calledFunction.equals(CONVERT_TO_TENSOR.getDeclaringClass())) else if (calledFunction.equals(SPARSE_EYE.getDeclaringClass())) return new SparseEye(source); else if (calledFunction.equals(GAMMA.getDeclaringClass())) return new Gamma(source); else if (calledFunction.equals(POISSON.getDeclaringClass())) return new Poisson(source); + else if (calledFunction.equals(RAGGED_CONSTANT.getDeclaringClass())) + return new RaggedConstant(source); else throw new IllegalArgumentException( "Unknown call: " + calledFunction + " for source: " + source + "."); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java index 188f9a217..2d2d0de2a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/types/TensorFlowTypes.java @@ -187,9 +187,11 @@ public boolean canConvertTo(DType other) { TypeName.string2TypeName("Ltensorflow/functions/ragged_constant")), AstMethodReference.fnSelector); + private static final String RAGGED_CONSTANT_SIGNATURE = "tf.ragged.constant()"; + /** A mapping from a {@link TypeReference} to its associated TensorFlow signature. */ public static final Map TYPE_REFERENCE_TO_SIGNATURE = - Map.of(RAGGED_CONSTANT.getDeclaringClass(), "tf.ragged.constant"); + Map.of(RAGGED_CONSTANT.getDeclaringClass(), RAGGED_CONSTANT_SIGNATURE); /** * Represents the TensorFlow float32 data type. diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py new file mode 100644 index 000000000..bd4bc4e5d --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py @@ -0,0 +1,23 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + +arg = [[1, 2], [3], [4, 5, 6]] +assert isinstance(arg, list) +assert len(arg) == 3 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 2 +assert len(arg[1]) == 1 +assert len(arg[2]) == 3 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (3, None) +assert x.dtype == tf.int32 + +f(x) From 245bceeb4b5937ed999d2348efcb4f11763afaf7 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:18:27 -0500 Subject: [PATCH 229/253] Move ctor. --- .../ibm/wala/cast/python/ml/client/ConvertToTensor.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java index 1431e8f39..e4a5e2d61 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/ConvertToTensor.java @@ -35,6 +35,10 @@ public class ConvertToTensor extends ZerosLike { */ private static final int DTYPE_HINT_PARAMETER_POSITION = 2; + public ConvertToTensor(PointsToSetVariable source) { + super(source); + } + @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { // If the dtype argument is not specified, then the type is inferred from the type of value, @@ -78,10 +82,6 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { } } - public ConvertToTensor(PointsToSetVariable source) { - super(source); - } - /** * Returns the value number for the dtype hint argument in the function call. * From fe8c890dca7e048b729125cd66e1ac9bf166bea9 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:18:43 -0500 Subject: [PATCH 230/253] Static import. --- .../source/com/ibm/wala/cast/python/ml/client/Ones.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java index b5ad440f6..9073861c4 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Ones.java @@ -13,6 +13,7 @@ import java.util.List; import java.util.Optional; import java.util.Set; +import java.util.logging.Logger; /** * A generator for tensors created by the `ones()` function in TensorFlow. @@ -22,7 +23,7 @@ */ public class Ones extends TensorGenerator { - private static final java.util.logging.Logger LOGGER = getLogger(Ones.class.getName()); + private static final Logger LOGGER = getLogger(Ones.class.getName()); private static final String FUNCTION_NAME = "tf.ones()"; From ca110de467fc1cfc9263f64b06efa616b9a6f3fc Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:18:57 -0500 Subject: [PATCH 231/253] Add TODO about nested lists/tuples in `TensorGenerator.java`. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 2 ++ 1 file changed, 2 insertions(+) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ec501f051..718717913 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -313,6 +313,8 @@ else if (valueIK instanceof AllocationSiteInNode) { AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); + // TODO: Does this work for nested lists/tuples? Try + // https://gemini.google.com/share/4db81a3c0908. if (reference.equals(list) || reference.equals(tuple)) { OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet( From 5e102b5924ade6d986c3885b2d551fd12af0b6e9 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:22:41 -0500 Subject: [PATCH 232/253] Forgot a file. --- .../cast/python/ml/client/RaggedConstant.java | 46 +++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java new file mode 100644 index 000000000..e3076c61e --- /dev/null +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -0,0 +1,46 @@ +package com.ibm.wala.cast.python.ml.client; + +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TYPE_REFERENCE_TO_SIGNATURE; +import static com.ibm.wala.cast.python.util.Util.getFunction; + +import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; +import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.types.TypeReference; +import java.util.List; +import java.util.Set; + +/** + * A representation of the `tf.ragged.constant()` API in TensorFlow. + * + * @see tf.ragged.constant. + * @author Raffi Khatchadourian + */ +public class RaggedConstant extends ZerosLike { + + protected enum Parameters { + PYLIST, + DTYPE, + RAGGED_RANK, + INNER_SHAPE, + NAME, + ROW_SPLITS_DTYPE + } + + public RaggedConstant(PointsToSetVariable source) { + super(source); + } + + @Override + protected String getSignature() { + TypeReference function = getFunction(this.getSource()); + return TYPE_REFERENCE_TO_SIGNATURE.get(function); + } + + @Override + protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + // TODO Auto-generated method stub + return super.getDefaultShapes(builder); + } +} From fc60ced3613760007db1c444f552e8f9a81d91f6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Thu, 4 Dec 2025 16:25:13 -0500 Subject: [PATCH 233/253] Black. --- com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py | 1 + 1 file changed, 1 insertion(+) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py index bd4bc4e5d..578bd1365 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant.py @@ -6,6 +6,7 @@ def f(a): pass + arg = [[1, 2], [3], [4, 5, 6]] assert isinstance(arg, list) assert len(arg) == 3 From 5aa75beadb1b642cf9db6b01a418c980aee84236 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 10:38:11 -0500 Subject: [PATCH 234/253] Add test for `tf.convert_to_tensor` with 2D list input. --- .../python/ml/test/TestTensorflow2Model.java | 6 ++++ .../data/tf2_test_convert_to_tensor12.py | 30 +++++++++++++++++++ 2 files changed, 36 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 5cde9f804..6f4c2c73b 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4311,6 +4311,12 @@ public void testConvertToTensor11() test("tf2_test_convert_to_tensor11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32))); } + @Test + public void testConvertToTensor12() + throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { + test("tf2_test_convert_to_tensor12.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_INT32))); + } + @Test public void testOneHot() throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException { diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py new file mode 100644 index 000000000..f7e26f28b --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py @@ -0,0 +1,30 @@ +import tensorflow as tf + + +def f(a): + pass + + +# A 2D list (Matrix) +matrix_list = [ + [1, 2, 3], + [4, 5, 6] +] + +assert isinstance(matrix_list, list) +assert len(matrix_list) == 2 +assert all(isinstance(row, list) for row in matrix_list) +assert all(isinstance(x, int) for row in matrix_list for x in row) +assert len(matrix_list[0]) == 3 +assert len(matrix_list[1]) == 3 + +# Convert the 2D list to a TensorFlow Tensor +matrix_tensor = tf.convert_to_tensor(matrix_list) + +# Output: shape=(2, 3), dtype=int32 + +assert isinstance(matrix_tensor, tf.Tensor) +assert matrix_tensor.dtype == tf.int32 +assert matrix_tensor.shape == (2, 3) + +f(matrix_tensor) From ce47fcd9ba5ccbb942d1a0afbf95078b47a40af6 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 10:44:44 -0500 Subject: [PATCH 235/253] Black. --- .../data/tf2_test_convert_to_tensor12.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py index f7e26f28b..c372d6cb1 100644 --- a/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py +++ b/com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py @@ -6,10 +6,7 @@ def f(a): # A 2D list (Matrix) -matrix_list = [ - [1, 2, 3], - [4, 5, 6] -] +matrix_list = [[1, 2, 3], [4, 5, 6]] assert isinstance(matrix_list, list) assert len(matrix_list) == 2 From db12fbb8006b438df24c03e0def318cc2c1b049a Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 10:44:59 -0500 Subject: [PATCH 236/253] Complete TODO. It works for rectangular tensors, but not nested lists/tuples. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 2 -- 1 file changed, 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 718717913..ec501f051 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -313,8 +313,6 @@ else if (valueIK instanceof AllocationSiteInNode) { AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); TypeReference reference = asin.getConcreteType().getReference(); - // TODO: Does this work for nested lists/tuples? Try - // https://gemini.google.com/share/4db81a3c0908. if (reference.equals(list) || reference.equals(tuple)) { OrdinalSet objectCatalogPointsToSet = pointerAnalysis.getPointsToSet( From 90472b666028d48023d57d4654d25fa5636d115f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 11:26:49 -0500 Subject: [PATCH 237/253] More tests for `RaggedConstant` handling. --- .../python/ml/test/TestTensorflow2Model.java | 42 +++++++++++++++++++ .../data/tf2_test_ragged_constant2.py | 24 +++++++++++ .../data/tf2_test_ragged_constant3.py | 23 ++++++++++ .../data/tf2_test_ragged_constant4.py | 24 +++++++++++ .../data/tf2_test_ragged_constant5.py | 23 ++++++++++ 5 files changed, 136 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant2.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant3.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant4.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant5.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 6f4c2c73b..02c9a9127 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -95,6 +95,23 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_3_INT32 = new TensorType(INT_32, asList(new NumericDim(3), new NumericDim(3))); + @SuppressWarnings("unused") + private static final TensorType TENSOR_1_NONE_INT32 = + new TensorType(INT_32, asList(new NumericDim(1), null)); + + private static final TensorType TENSOR_1_NONE_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(1), null)); + + private static final TensorType TENSOR_2_NONE_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), null)); + + @SuppressWarnings("unused") + private static final TensorType TENSOR_2_NONE_NONE_NONE_INT32 = + new TensorType(INT_32, asList(new NumericDim(2), null)); + + private static final TensorType TENSOR_2_NONE_NONE_NONE_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), null)); + private static final TensorType TENSOR_3_NONE_INT32 = new TensorType(INT_32, asList(new NumericDim(3), null)); @@ -4576,6 +4593,31 @@ public void testRaggedConstant() throws ClassHierarchyException, CancelException test("tf2_test_ragged_constant.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_INT32))); } + @Test + public void testRaggedConstant2() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant2.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_INT32))); + } + + @Test + public void testRaggedConstant3() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant3.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_NONE_INT32))); + } + + @Test + public void testRaggedConstant4() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant4.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_1_NONE_FLOAT32))); + } + + @Test + public void testRaggedConstant5() throws ClassHierarchyException, CancelException, IOException { + test( + "tf2_test_ragged_constant5.py", + "f", + 1, + 1, + Map.of(2, Set.of(TENSOR_2_NONE_NONE_NONE_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant2.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant2.py new file mode 100644 index 000000000..73ed2eee2 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant2.py @@ -0,0 +1,24 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[1, 2], [3], [4, 5]] +assert isinstance(arg, list) +assert len(arg) == 3 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 2 +assert len(arg[1]) == 1 +assert len(arg[2]) == 2 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (3, None) +assert x.dtype == tf.int32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant3.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant3.py new file mode 100644 index 000000000..b7bb8c5da --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant3.py @@ -0,0 +1,23 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[1], [3]] +assert isinstance(arg, list) +assert len(arg) == 2 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 1 +assert len(arg[1]) == 1 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (2, None) +assert x.dtype == tf.int32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant4.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant4.py new file mode 100644 index 000000000..a1b06fe78 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant4.py @@ -0,0 +1,24 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[]] +assert isinstance(arg, list) +assert len(arg) == 1 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 0 +assert arg[0] == [] +assert len(arg) == 1 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (1, None) +assert x.dtype == tf.float32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant5.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant5.py new file mode 100644 index 000000000..7a2834c2f --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant5.py @@ -0,0 +1,23 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[], [[[]]]] +assert isinstance(arg, list) +assert len(arg) == 2 +assert all(isinstance(row, list) for row in arg) +assert len(arg[0]) == 0 +assert arg[0] == [] +assert len(arg) == 2 + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (2, None, None, None) +assert x.dtype == tf.float32 + +f(x) From 4b0c7ea58349383d009b3bad6f2379af39ddf8f3 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 12:12:48 -0500 Subject: [PATCH 238/253] Fix error message. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index ec501f051..1ce75588a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -358,9 +358,7 @@ else if (valueIK instanceof AllocationSiteInNode) { } } } else throw new IllegalStateException("Unknown type reference: " + reference + "."); - } else - throw new IllegalStateException( - "Expected a " + ConstantKey.class + " for value, but got: " + valueIK + "."); + } else throw new IllegalStateException("Unknown value type: " + valueIK.getClass() + "."); return ret; } From cb684e25f679a6496e0b7b9146024c22d8b9ef33 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 12:38:53 -0500 Subject: [PATCH 239/253] Switch parameter order in `getShapesOfValue()` calls. --- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 1ce75588a..bb74949bf 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -288,18 +288,18 @@ protected Set>> getShapes( throw new IllegalArgumentException( "Empty points-to set for value number: " + valueNumber + " in: " + this.getNode() + "."); - return getShapesOfValue(builder, valuePointsToSet); + return getShapesOfValue(valuePointsToSet, builder); } /** * Returns the possible shapes of the tensor returned by this generator. * - * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. * @param pointsToSet The points-to set of the value from which the shape will be derived. + * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. * @return A set of possible shapes of the tensor returned by this generator. */ private Set>> getShapesOfValue( - PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + OrdinalSet valuePointsToSet, PropagationCallGraphBuilder builder) { if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( "Empty points-to set for value in source: " + this.getSource() + "."); @@ -346,7 +346,7 @@ else if (valueIK instanceof AllocationSiteInNode) { LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); Set>> shapesOfField = - getShapesOfValue(builder, instanceFieldPointsToSet); + getShapesOfValue(instanceFieldPointsToSet, builder); for (List> shapeList : shapesOfField) { List> shape = new ArrayList<>(); From e41f567dceff72ed9c269caa33ad4d8fa3fd5782 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 13:16:33 -0500 Subject: [PATCH 240/253] Revert "Switch parameter order in `getShapesOfValue()` calls." This reverts commit cb684e25f679a6496e0b7b9146024c22d8b9ef33. --- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index bb74949bf..1ce75588a 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -288,18 +288,18 @@ protected Set>> getShapes( throw new IllegalArgumentException( "Empty points-to set for value number: " + valueNumber + " in: " + this.getNode() + "."); - return getShapesOfValue(valuePointsToSet, builder); + return getShapesOfValue(builder, valuePointsToSet); } /** * Returns the possible shapes of the tensor returned by this generator. * - * @param pointsToSet The points-to set of the value from which the shape will be derived. * @param builder The {@link PropagationCallGraphBuilder} used to build the call graph. + * @param pointsToSet The points-to set of the value from which the shape will be derived. * @return A set of possible shapes of the tensor returned by this generator. */ private Set>> getShapesOfValue( - OrdinalSet valuePointsToSet, PropagationCallGraphBuilder builder) { + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( "Empty points-to set for value in source: " + this.getSource() + "."); @@ -346,7 +346,7 @@ else if (valueIK instanceof AllocationSiteInNode) { LOGGER.fine("Points-to set for instance field: " + instanceFieldPointsToSet + "."); Set>> shapesOfField = - getShapesOfValue(instanceFieldPointsToSet, builder); + getShapesOfValue(builder, instanceFieldPointsToSet); for (List> shapeList : shapesOfField) { List> shape = new ArrayList<>(); From e8fee35e8315dd69e80dd44cdd7a894d37266f4d Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 16:36:45 -0500 Subject: [PATCH 241/253] Use static import. --- .../wala/cast/python/ml/client/TensorGenerator.java | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 1ce75588a..6064c6686 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -5,6 +5,7 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.cast.python.types.PythonTypes.Root; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.types.PythonTypes.tuple; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; @@ -121,8 +122,7 @@ protected Set>> getShapesFromShapeArgument( Integer fieldIndex = (Integer) constantKeyValue; FieldReference subscript = - FieldReference.findOrCreate( - PythonTypes.Root, findOrCreateAsciiAtom(fieldIndex.toString()), PythonTypes.Root); + FieldReference.findOrCreate(Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); IField f = builder.getClassHierarchy().resolveField(subscript); LOGGER.fine("Found field: " + f); @@ -330,9 +330,7 @@ else if (valueIK instanceof AllocationSiteInNode) { FieldReference subscript = FieldReference.findOrCreate( - PythonTypes.Root, - findOrCreateAsciiAtom(fieldIndex.toString()), - PythonTypes.Root); + Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); IField f = builder.getClassHierarchy().resolveField(subscript); LOGGER.fine("Found field: " + f); @@ -623,9 +621,7 @@ private EnumSet getDTypesOfValue( FieldReference subscript = FieldReference.findOrCreate( - PythonTypes.Root, - findOrCreateAsciiAtom(fieldIndex.toString()), - PythonTypes.Root); + Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); IField f = builder.getClassHierarchy().resolveField(subscript); LOGGER.fine("Found field: " + f); From 81bac7d27c2fc06c9efa906643ae911097e00165 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 16:36:56 -0500 Subject: [PATCH 242/253] Make the method protected so that subclasses can override it. --- .../com/ibm/wala/cast/python/ml/client/TensorGenerator.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index 6064c6686..b185d3de9 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -298,7 +298,7 @@ protected Set>> getShapes( * @param pointsToSet The points-to set of the value from which the shape will be derived. * @return A set of possible shapes of the tensor returned by this generator. */ - private Set>> getShapesOfValue( + protected Set>> getShapesOfValue( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( From 6f236c1318126aa5d082f6fd48395e4b63cad9da Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 16:37:32 -0500 Subject: [PATCH 243/253] Progress on `tf.ragged.constant()` shape inference to handle ragged dimensions. --- .../cast/python/ml/client/RaggedConstant.java | 155 +++++++++++++++++- 1 file changed, 153 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index e3076c61e..9cedab152 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -1,14 +1,34 @@ package com.ibm.wala.cast.python.ml.client; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TYPE_REFERENCE_TO_SIGNATURE; +import static com.ibm.wala.cast.python.types.PythonTypes.Root; +import static com.ibm.wala.cast.python.types.PythonTypes.list; +import static com.ibm.wala.cast.python.types.PythonTypes.tuple; +import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.cast.python.util.Util.getFunction; +import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; +import static java.util.logging.Logger.getLogger; +import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; +import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; +import com.ibm.wala.classLoader.IField; +import com.ibm.wala.ipa.callgraph.propagation.AllocationSiteInNode; +import com.ibm.wala.ipa.callgraph.propagation.ConstantKey; +import com.ibm.wala.ipa.callgraph.propagation.InstanceKey; +import com.ibm.wala.ipa.callgraph.propagation.PointerAnalysis; +import com.ibm.wala.ipa.callgraph.propagation.PointerKey; import com.ibm.wala.ipa.callgraph.propagation.PointsToSetVariable; import com.ibm.wala.ipa.callgraph.propagation.PropagationCallGraphBuilder; +import com.ibm.wala.types.FieldReference; import com.ibm.wala.types.TypeReference; +import com.ibm.wala.util.collections.HashSetFactory; +import com.ibm.wala.util.intset.OrdinalSet; +import java.util.ArrayList; import java.util.List; +import java.util.Optional; import java.util.Set; +import java.util.logging.Logger; /** * A representation of the `tf.ragged.constant()` API in TensorFlow. @@ -19,6 +39,8 @@ */ public class RaggedConstant extends ZerosLike { + private static final Logger LOGGER = getLogger(RaggedConstant.class.getName()); + protected enum Parameters { PYLIST, DTYPE, @@ -38,9 +60,138 @@ protected String getSignature() { return TYPE_REFERENCE_TO_SIGNATURE.get(function); } + private static Set getPossibleListLengths( + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + Set ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + for (InstanceKey valueIK : valuePointsToSet) { + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); + TypeReference reference = asin.getConcreteType().getReference(); + + // A `list` or `tuple`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + ret.add(objectCatalogPointsToSet.size()); + } else + throw new IllegalArgumentException( + "Expected a list or tuple, but found: " + reference + "."); + } + + return ret; + } + + private static Set getMaximumDepthOfScalars( + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + Set ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + for (InstanceKey valueIK : valuePointsToSet) { + int maxDepth = -1; + + if (valueIK instanceof ConstantKey) maxDepth = Math.max(maxDepth, 0); // Scalar value. + else { + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); + TypeReference reference = asin.getConcreteType().getReference(); + + // A nested `list`, `tuple`, or `np.ndarray`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate( + Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + + Set possibleDepthsOfField = + getMaximumDepthOfScalars(builder, instanceFieldPointsToSet); + + for (int depthOfField : possibleDepthsOfField) + maxDepth = Math.max(maxDepth, 1 + depthOfField); + } + } + } + + ret.add(maxDepth); + } + + return ret; + } + @Override - protected Set>> getDefaultShapes(PropagationCallGraphBuilder builder) { + protected Set>> getShapesOfValue( + PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { + // Returns a potentially ragged tensor with rank K and the specified `ragged_rank`, containing + // the values from `pylist`. + + // All scalar values in `pylist` must have the same nesting depth K, and the returned + // `RaggedTensor` will have rank K. If `pylist` contains no scalar values, then K is one greater + // than the maximum depth of empty lists in `pylist`. + + // Step 1: Calculate K, the maximum depth of scalar values in `pylist`. + + if (valuePointsToSet == null || valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value in source: " + this.getSource() + "."); + + Set>> ret = HashSetFactory.make(); + + Set maxDepthOfScalars = getMaximumDepthOfScalars(builder, valuePointsToSet); + LOGGER.fine("Maximum depth of scalars in pylist: " + maxDepthOfScalars); + + // Step 2: Determine Ragged Rank (R). + for (int K : maxDepthOfScalars) { + Optional raggedRank = this.getRaggedRankArgumentValue(builder); + int R = raggedRank.orElse(K - 1); + LOGGER.fine("Ragged rank: " + R); + + // Step 3: Construct shape with rank K and ragged rank R. + + // Get the length of the outer list. + Set possibleOuterListLengths = getPossibleListLengths(builder, valuePointsToSet); + + for (int outerListLength : possibleOuterListLengths) { + List> shape = new ArrayList<>(); + shape.add(new NumericDim(outerListLength)); + + // The first R dimensions are ragged. + for (int i = 0; i < R; i++) shape.add(null); // Unknown size for ragged dimensions. + + /* + // The remaining K - R dimensions are dense. + for (int i = R; i < K; i++) { + shape.add(new NumericDim(-1)); // Unknown size for dense dimensions. + } + */ + + ret.add(shape); + } + } + + return ret; + } + + private Optional getRaggedRankArgumentValue(PropagationCallGraphBuilder builder) { // TODO Auto-generated method stub - return super.getDefaultShapes(builder); + return Optional.empty(); } } From e9750604e6b8f38cc0573e7c5d031d27c7cc9246 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 16:56:30 -0500 Subject: [PATCH 244/253] Pull up the `getSignature()` method to the super class. --- .../ibm/wala/cast/python/ml/client/RaggedConstant.java | 8 -------- .../ibm/wala/cast/python/ml/client/TensorGenerator.java | 7 ++++++- 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 9cedab152..7c23c9e49 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -1,11 +1,9 @@ package com.ibm.wala.cast.python.ml.client; -import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TYPE_REFERENCE_TO_SIGNATURE; import static com.ibm.wala.cast.python.types.PythonTypes.Root; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.types.PythonTypes.tuple; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; -import static com.ibm.wala.cast.python.util.Util.getFunction; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static java.util.logging.Logger.getLogger; @@ -54,12 +52,6 @@ public RaggedConstant(PointsToSetVariable source) { super(source); } - @Override - protected String getSignature() { - TypeReference function = getFunction(this.getSource()); - return TYPE_REFERENCE_TO_SIGNATURE.get(function); - } - private static Set getPossibleListLengths( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { Set ret = HashSetFactory.make(); diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java index b185d3de9..cba578952 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/TensorGenerator.java @@ -5,10 +5,12 @@ import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.FIELD_REFERENCE_TO_DTYPE; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TENSORFLOW; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.TYPE_REFERENCE_TO_SIGNATURE; import static com.ibm.wala.cast.python.types.PythonTypes.Root; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.types.PythonTypes.tuple; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; +import static com.ibm.wala.cast.python.util.Util.getFunction; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static com.ibm.wala.ipa.callgraph.propagation.cfa.CallStringContextSelector.CALL_STRING; import static java.util.Arrays.asList; @@ -663,7 +665,10 @@ public String toString() { * * @return The TensorFlow function signature represented by this generator. */ - protected abstract String getSignature(); + protected String getSignature() { + TypeReference function = getFunction(this.getSource()); + return TYPE_REFERENCE_TO_SIGNATURE.get(function); + } protected int getArgumentValueNumber(int parameterPosition) { if (parameterPosition < 0) return -1; // No such argument. From 90384ce1a7efad334d13798c8a3df2410848f493 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 17:23:07 -0500 Subject: [PATCH 245/253] New test. --- .../python/ml/test/TestTensorflow2Model.java | 5 +++++ .../data/tf2_test_ragged_constant6.py | 20 +++++++++++++++++++ 2 files changed, 25 insertions(+) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant6.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 02c9a9127..68eec3645 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -4618,6 +4618,11 @@ public void testRaggedConstant5() throws ClassHierarchyException, CancelExceptio Map.of(2, Set.of(TENSOR_2_NONE_NONE_NONE_FLOAT32))); } + @Test + public void testRaggedConstant6() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant6.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant6.py new file mode 100644 index 000000000..de4641b50 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant6.py @@ -0,0 +1,20 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [1, 2, 3, 4, 5] +assert isinstance(arg, list) +assert len(arg) == 5 +assert all(isinstance(x, int) for x in arg) + +x = tf.ragged.constant(arg) +assert isinstance(x, tf.Tensor) +assert x.shape == (5,) +assert x.dtype == tf.int32 + +f(x) From 9baedf4d6c66ad9510d62f1340c0ba5ec65b55ad Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 17:23:35 -0500 Subject: [PATCH 246/253] Fix method name. --- .../com/ibm/wala/cast/python/ml/client/RaggedConstant.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 7c23c9e49..1fd08afac 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -52,7 +52,7 @@ public RaggedConstant(PointsToSetVariable source) { super(source); } - private static Set getPossibleListLengths( + private static Set getPossibleOuterListLengths( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { Set ret = HashSetFactory.make(); PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -159,7 +159,8 @@ protected Set>> getShapesOfValue( // Step 3: Construct shape with rank K and ragged rank R. // Get the length of the outer list. - Set possibleOuterListLengths = getPossibleListLengths(builder, valuePointsToSet); + Set possibleOuterListLengths = + getPossibleOuterListLengths(builder, valuePointsToSet); for (int outerListLength : possibleOuterListLengths) { List> shape = new ArrayList<>(); From 3daa5c54c7bebb078635a406725960ec5b478654 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Fri, 5 Dec 2025 17:38:09 -0500 Subject: [PATCH 247/253] Minor change. --- .../com/ibm/wala/cast/python/ml/client/RaggedConstant.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 1fd08afac..713e394f7 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -148,7 +148,7 @@ protected Set>> getShapesOfValue( Set>> ret = HashSetFactory.make(); Set maxDepthOfScalars = getMaximumDepthOfScalars(builder, valuePointsToSet); - LOGGER.fine("Maximum depth of scalars in pylist: " + maxDepthOfScalars); + LOGGER.fine("Maximum depth of scalars in `pylist`: " + maxDepthOfScalars); // Step 2: Determine Ragged Rank (R). for (int K : maxDepthOfScalars) { From 723fd383f409ced19e6c4fb33450dcbd558c1edc Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Sat, 6 Dec 2025 10:31:33 -0500 Subject: [PATCH 248/253] Progress on `tf.ragged.constant`. --- .../cast/python/ml/client/RaggedConstant.java | 180 ++++++++++++++---- 1 file changed, 143 insertions(+), 37 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 713e394f7..23d1a89a6 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -77,56 +77,145 @@ private static Set getPossibleOuterListLengths( return ret; } - private static Set getMaximumDepthOfScalars( - PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { - Set ret = HashSetFactory.make(); + private static Set containsScalars( + PropagationCallGraphBuilder builder, OrdinalSet pts) { + Set ret = HashSetFactory.make(); + for (InstanceKey ik : pts) if (containsScalars(builder, ik)) ret.add(ik); + return ret; + } + + private static boolean containsScalars(PropagationCallGraphBuilder builder, InstanceKey ik) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); - for (InstanceKey valueIK : valuePointsToSet) { - int maxDepth = -1; + if (ik instanceof ConstantKey) return true; // Scalar value. + else { + AllocationSiteInNode asin = getAllocationSiteInNode(ik); + TypeReference reference = asin.getConcreteType().getReference(); - if (valueIK instanceof ConstantKey) maxDepth = Math.max(maxDepth, 0); // Scalar value. - else { - AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); - TypeReference reference = asin.getConcreteType().getReference(); + // A nested `list`, `tuple`, or `np.ndarray`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); - // A nested `list`, `tuple`, or `np.ndarray`. - if (reference.equals(list) || reference.equals(tuple)) { - OrdinalSet objectCatalogPointsToSet = - pointerAnalysis.getPointsToSet( - ((AstPointerKeyFactory) builder.getPointerKeyFactory()) - .getPointerKeyForObjectCatalog(asin)); + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); - for (InstanceKey catalogIK : objectCatalogPointsToSet) { - ConstantKey constantKey = (ConstantKey) catalogIK; - Object constantKeyValue = constantKey.getValue(); + Integer fieldIndex = (Integer) constantKeyValue; - Integer fieldIndex = (Integer) constantKeyValue; + FieldReference subscript = + FieldReference.findOrCreate(Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); - FieldReference subscript = - FieldReference.findOrCreate( - Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); + IField f = builder.getClassHierarchy().resolveField(subscript); - IField f = builder.getClassHierarchy().resolveField(subscript); + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); - PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); - OrdinalSet instanceFieldPointsToSet = - pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + for (InstanceKey fieldIK : instanceFieldPointsToSet) + if (containsScalars(builder, fieldIK)) return true; + } + } else + throw new IllegalArgumentException( + "Expected a list or tuple, but found: " + reference + "."); + } - Set possibleDepthsOfField = - getMaximumDepthOfScalars(builder, instanceFieldPointsToSet); + return false; + } - for (int depthOfField : possibleDepthsOfField) - maxDepth = Math.max(maxDepth, 1 + depthOfField); - } + private static int getMaximumDepthOfEmptyList( + PropagationCallGraphBuilder builder, InstanceKey valueIK) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + int maxDepth = 0; + + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); + TypeReference reference = asin.getConcreteType().getReference(); + + // A nested `list` or `tuple`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate(Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + + if (instanceFieldPointsToSet.isEmpty()) + // An empty list at this field. + maxDepth = Math.max(maxDepth, 0); + + for (InstanceKey fieldIK : instanceFieldPointsToSet) { + int depthOfField = getMaximumDepthOfEmptyList(builder, fieldIK); + maxDepth = Math.max(maxDepth, 1 + depthOfField); } } + } else + throw new IllegalArgumentException("Expected a list or tuple, but found: " + reference + "."); - ret.add(maxDepth); + return maxDepth; + } + + private static int getMaximumDepthOfScalars( + PropagationCallGraphBuilder builder, InstanceKey valueIK) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + int maxDepth = 0; + + if (valueIK instanceof ConstantKey) maxDepth = Math.max(maxDepth, 0); // Scalar value. + else { + AllocationSiteInNode asin = getAllocationSiteInNode(valueIK); + TypeReference reference = asin.getConcreteType().getReference(); + + // A nested `list`, `tuple`, or `np.ndarray`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + for (InstanceKey catalogIK : objectCatalogPointsToSet) { + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate(Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + + for (InstanceKey fieldIK : instanceFieldPointsToSet) { + int depthOfField = getMaximumDepthOfScalars(builder, fieldIK); + maxDepth = Math.max(maxDepth, 1 + depthOfField); + } + } + } else + throw new IllegalArgumentException( + "Expected a list or tuple, but found: " + reference + "."); } - return ret; + return maxDepth; } @Override @@ -147,11 +236,16 @@ protected Set>> getShapesOfValue( Set>> ret = HashSetFactory.make(); - Set maxDepthOfScalars = getMaximumDepthOfScalars(builder, valuePointsToSet); - LOGGER.fine("Maximum depth of scalars in `pylist`: " + maxDepthOfScalars); + Set scalars = containsScalars(builder, valuePointsToSet); + + for (InstanceKey valueIK : valuePointsToSet) { + int maxDepth = getMaxDepth(builder, scalars, valueIK); + LOGGER.fine("Maximum depth of `pylist`: " + maxDepth); + + // Step 2: Determine Ragged Rank (R). + int K = maxDepth; + LOGGER.fine("Tensor rank: " + K); - // Step 2: Determine Ragged Rank (R). - for (int K : maxDepthOfScalars) { Optional raggedRank = this.getRaggedRankArgumentValue(builder); int R = raggedRank.orElse(K - 1); LOGGER.fine("Ragged rank: " + R); @@ -183,6 +277,18 @@ protected Set>> getShapesOfValue( return ret; } + private static int getMaxDepth( + PropagationCallGraphBuilder builder, Set scalars, InstanceKey valueIK) { + int maxDepth; + + if (scalars.contains(valueIK)) maxDepth = getMaximumDepthOfScalars(builder, valueIK); + else + // If `pylist` contains no scalar values, then K is one greater than the maximum depth of + // empty lists in `pylist`. + maxDepth = 1 + getMaximumDepthOfEmptyList(builder, valueIK); + return maxDepth; + } + private Optional getRaggedRankArgumentValue(PropagationCallGraphBuilder builder) { // TODO Auto-generated method stub return Optional.empty(); From 95ce3d3cc9e34e9a2faed991c2ac170376758240 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Dec 2025 11:15:34 -0500 Subject: [PATCH 249/253] Default to `tf.float32` dtype in `RaggedConstant` when there are no scalars. --- .../wala/cast/python/ml/client/Constant.java | 7 ++++- .../cast/python/ml/client/RaggedConstant.java | 28 +++++++++++++++++++ 2 files changed, 34 insertions(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java index beb20702c..dda26b4c4 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/Constant.java @@ -35,9 +35,14 @@ protected Set>> getDefaultShapes(PropagationCallGraphBuilder b return getShapes(builder, this.getValueArgumentValueNumber()); } + /** + * {@inheritDoc} + * + *

If the dtype argument is not specified, then the type is inferred from the type + * of value. + */ @Override protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { - // If the dtype argument is not specified, then the type is inferred from the type of value. // TODO: Handle keyword arguments. return getDTypes(builder, this.getValueArgumentValueNumber()); } diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 23d1a89a6..a88618ae8 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -8,6 +8,7 @@ import static java.util.logging.Logger.getLogger; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; +import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; import com.ibm.wala.cast.python.ml.types.TensorType.Dimension; import com.ibm.wala.cast.python.ml.types.TensorType.NumericDim; import com.ibm.wala.classLoader.IField; @@ -23,6 +24,7 @@ import com.ibm.wala.util.collections.HashSetFactory; import com.ibm.wala.util.intset.OrdinalSet; import java.util.ArrayList; +import java.util.EnumSet; import java.util.List; import java.util.Optional; import java.util.Set; @@ -293,4 +295,30 @@ private Optional getRaggedRankArgumentValue(PropagationCallGraphBuilder // TODO Auto-generated method stub return Optional.empty(); } + + /** + * {@inheritDoc} + * + *

If there no scalars, we default to tf.float32. This isn't in the documentation, + * but it seems to be the case. + * + * @see The "Update default dtype + * description in ragged_factory_ops.py" GitHub issue. + */ + @Override + protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + int valueNumber = this.getValueArgumentValueNumber(); + PointerKey valuePK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); + OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); + + if (containsScalars(builder, valuePointsToSet).isEmpty()) { + LOGGER.fine("No scalars found in `pylist`; defaulting to `tf.float32` dtype."); + return EnumSet.of(DType.FLOAT32); + } + + return super.getDefaultDTypes(builder); + } } From 19fc1009c775c36f578bfe2957f7f85411038e2f Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Dec 2025 11:27:17 -0500 Subject: [PATCH 250/253] Fix test. --- .../com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 68eec3645..7e0a2f4e4 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -110,7 +110,7 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { new TensorType(INT_32, asList(new NumericDim(2), null)); private static final TensorType TENSOR_2_NONE_NONE_NONE_FLOAT32 = - new TensorType(FLOAT_32, asList(new NumericDim(2), null)); + new TensorType(FLOAT_32, asList(new NumericDim(2), null, null, null)); private static final TensorType TENSOR_3_NONE_INT32 = new TensorType(INT_32, asList(new NumericDim(3), null)); From 44a980c14e223bdc41e3cd13a65090cb95ce0f6b Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Dec 2025 11:46:12 -0500 Subject: [PATCH 251/253] Cleanup. --- .../cast/python/ml/client/RaggedConstant.java | 42 ++++++++++--------- 1 file changed, 23 insertions(+), 19 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index a88618ae8..8fadbfe63 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -1,11 +1,13 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.types.PythonTypes.Root; import static com.ibm.wala.cast.python.types.PythonTypes.list; import static com.ibm.wala.cast.python.types.PythonTypes.tuple; import static com.ibm.wala.cast.python.util.Util.getAllocationSiteInNode; import static com.ibm.wala.core.util.strings.Atom.findOrCreateAsciiAtom; import static java.util.logging.Logger.getLogger; +import static java.util.stream.Collectors.toSet; import com.ibm.wala.cast.ipa.callgraph.AstPointerKeyFactory; import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType; @@ -29,6 +31,7 @@ import java.util.Optional; import java.util.Set; import java.util.logging.Logger; +import java.util.stream.StreamSupport; /** * A representation of the `tf.ragged.constant()` API in TensorFlow. @@ -79,13 +82,6 @@ private static Set getPossibleOuterListLengths( return ret; } - private static Set containsScalars( - PropagationCallGraphBuilder builder, OrdinalSet pts) { - Set ret = HashSetFactory.make(); - for (InstanceKey ik : pts) if (containsScalars(builder, ik)) ret.add(ik); - return ret; - } - private static boolean containsScalars(PropagationCallGraphBuilder builder, InstanceKey ik) { PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); @@ -231,17 +227,19 @@ protected Set>> getShapesOfValue( // than the maximum depth of empty lists in `pylist`. // Step 1: Calculate K, the maximum depth of scalar values in `pylist`. - if (valuePointsToSet == null || valuePointsToSet.isEmpty()) throw new IllegalArgumentException( "Empty points-to set for value in source: " + this.getSource() + "."); Set>> ret = HashSetFactory.make(); - Set scalars = containsScalars(builder, valuePointsToSet); + Set valuesWithScalars = + StreamSupport.stream(valuePointsToSet.spliterator(), false) + .filter(ik -> containsScalars(builder, ik)) + .collect(toSet()); for (InstanceKey valueIK : valuePointsToSet) { - int maxDepth = getMaxDepth(builder, scalars, valueIK); + int maxDepth = getMaximumDepthOfInstance(builder, valuesWithScalars, valueIK); LOGGER.fine("Maximum depth of `pylist`: " + maxDepth); // Step 2: Determine Ragged Rank (R). @@ -279,16 +277,15 @@ protected Set>> getShapesOfValue( return ret; } - private static int getMaxDepth( - PropagationCallGraphBuilder builder, Set scalars, InstanceKey valueIK) { - int maxDepth; - - if (scalars.contains(valueIK)) maxDepth = getMaximumDepthOfScalars(builder, valueIK); + private static int getMaximumDepthOfInstance( + PropagationCallGraphBuilder builder, + Set instancesWithScalars, + InstanceKey instance) { + if (instancesWithScalars.contains(instance)) return getMaximumDepthOfScalars(builder, instance); else // If `pylist` contains no scalar values, then K is one greater than the maximum depth of // empty lists in `pylist`. - maxDepth = 1 + getMaximumDepthOfEmptyList(builder, valueIK); - return maxDepth; + return 1 + getMaximumDepthOfEmptyList(builder, instance); } private Optional getRaggedRankArgumentValue(PropagationCallGraphBuilder builder) { @@ -314,9 +311,16 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); OrdinalSet valuePointsToSet = pointerAnalysis.getPointsToSet(valuePK); - if (containsScalars(builder, valuePointsToSet).isEmpty()) { + if (valuePointsToSet == null || valuePointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for value in source: " + this.getSource() + "."); + + if (StreamSupport.stream(valuePointsToSet.spliterator(), false) + .filter(ik -> containsScalars(builder, ik)) + .count() + == 0) { LOGGER.fine("No scalars found in `pylist`; defaulting to `tf.float32` dtype."); - return EnumSet.of(DType.FLOAT32); + return EnumSet.of(FLOAT32); } return super.getDefaultDTypes(builder); From 0bbab355ff0976bbfa72c1888aaf1c94d3290d32 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Dec 2025 15:07:52 -0500 Subject: [PATCH 252/253] Progress. --- .../python/ml/test/TestTensorflow2Model.java | 45 +++++ .../cast/python/ml/client/RaggedConstant.java | 170 +++++++++++++++--- .../data/tf2_test_ragged_constant10.py | 16 ++ .../data/tf2_test_ragged_constant11.py | 17 ++ .../data/tf2_test_ragged_constant12.py | 17 ++ .../data/tf2_test_ragged_constant7.py | 24 +++ .../data/tf2_test_ragged_constant8.py | 24 +++ .../data/tf2_test_ragged_constant9.py | 16 ++ 8 files changed, 306 insertions(+), 23 deletions(-) create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant10.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant11.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant12.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant7.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant8.py create mode 100644 com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant9.py diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java index 7e0a2f4e4..f526287f2 100644 --- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java +++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java @@ -105,6 +105,12 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_2_NONE_INT32 = new TensorType(INT_32, asList(new NumericDim(2), null)); + private static final TensorType TENSOR_2_NONE_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), null)); + + private static final TensorType TENSOR_2_NONE_2_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(2), null, new NumericDim(2))); + @SuppressWarnings("unused") private static final TensorType TENSOR_2_NONE_NONE_NONE_INT32 = new TensorType(INT_32, asList(new NumericDim(2), null)); @@ -115,6 +121,15 @@ public class TestTensorflow2Model extends TestPythonMLCallGraphShape { private static final TensorType TENSOR_3_NONE_INT32 = new TensorType(INT_32, asList(new NumericDim(3), null)); + private static final TensorType TENSOR_3_NONE_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), null)); + + private static final TensorType TENSOR_3_NONE_NONE_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), null, null)); + + private static final TensorType TENSOR_3_NONE_1_FLOAT32 = + new TensorType(FLOAT_32, asList(new NumericDim(3), null, new NumericDim(1))); + private static final TensorType TENSOR_2_3_INT32 = new TensorType(INT_32, asList(new NumericDim(2), new NumericDim(3))); @@ -4623,6 +4638,36 @@ public void testRaggedConstant6() throws ClassHierarchyException, CancelExceptio test("tf2_test_ragged_constant6.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_INT32))); } + @Test + public void testRaggedConstant7() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant7.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_INT32))); + } + + @Test + public void testRaggedConstant8() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant8.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_FLOAT32))); + } + + @Test + public void testRaggedConstant9() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant9.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_NONE_FLOAT32))); + } + + @Test + public void testRaggedConstant10() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant10.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_3_NONE_1_FLOAT32))); + } + + @Test + public void testRaggedConstant11() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_NONE_FLOAT32))); + } + + @Test + public void testRaggedConstant12() throws ClassHierarchyException, CancelException, IOException { + test("tf2_test_ragged_constant12.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_NONE_2_FLOAT32))); + } + private void test( String filename, String functionName, diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 8fadbfe63..43e658923 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -1,5 +1,6 @@ package com.ibm.wala.cast.python.ml.client; +import static com.ibm.wala.cast.python.ml.client.RaggedConstant.Parameters.RAGGED_RANK; import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32; import static com.ibm.wala.cast.python.types.PythonTypes.Root; import static com.ibm.wala.cast.python.types.PythonTypes.list; @@ -28,7 +29,6 @@ import java.util.ArrayList; import java.util.EnumSet; import java.util.List; -import java.util.Optional; import java.util.Set; import java.util.logging.Logger; import java.util.stream.StreamSupport; @@ -57,6 +57,65 @@ public RaggedConstant(PointsToSetVariable source) { super(source); } + private static Set getPossibleInnerListLengths( + PropagationCallGraphBuilder builder, OrdinalSet pts) { + Set ret = HashSetFactory.make(); + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + + for (InstanceKey ik : pts) { + AllocationSiteInNode asin = getAllocationSiteInNode(ik); + TypeReference reference = asin.getConcreteType().getReference(); + + // A `list` or `tuple`. + if (reference.equals(list) || reference.equals(tuple)) { + OrdinalSet objectCatalogPointsToSet = + pointerAnalysis.getPointsToSet( + ((AstPointerKeyFactory) builder.getPointerKeyFactory()) + .getPointerKeyForObjectCatalog(asin)); + + assert objectCatalogPointsToSet.iterator().hasNext(); + + InstanceKey catalogIK = + objectCatalogPointsToSet + .iterator() + .next(); // Just need one element to check inner length. + + ConstantKey constantKey = (ConstantKey) catalogIK; + Object constantKeyValue = constantKey.getValue(); + + Integer fieldIndex = (Integer) constantKeyValue; + + FieldReference subscript = + FieldReference.findOrCreate(Root, findOrCreateAsciiAtom(fieldIndex.toString()), Root); + + IField f = builder.getClassHierarchy().resolveField(subscript); + + PointerKey pointerKeyForInstanceField = builder.getPointerKeyForInstanceField(asin, f); + + OrdinalSet instanceFieldPointsToSet = + pointerAnalysis.getPointsToSet(pointerKeyForInstanceField); + + boolean containsAllListsOrTuples = + StreamSupport.stream(instanceFieldPointsToSet.spliterator(), false) + .allMatch( + ik -> { + AllocationSiteInNode innerAsin = getAllocationSiteInNode(ik); + + if (innerAsin == null) return false; + + TypeReference innerReference = innerAsin.getConcreteType().getReference(); + return innerReference.equals(list) || innerReference.equals(tuple); + }); + + if (!containsAllListsOrTuples) ret.add(objectCatalogPointsToSet.size()); + else ret.addAll(getPossibleInnerListLengths(builder, instanceFieldPointsToSet)); + } else + throw new IllegalStateException("Expected a list or tuple, but found: " + reference + "."); + } + + return ret; + } + private static Set getPossibleOuterListLengths( PropagationCallGraphBuilder builder, OrdinalSet valuePointsToSet) { Set ret = HashSetFactory.make(); @@ -246,31 +305,58 @@ protected Set>> getShapesOfValue( int K = maxDepth; LOGGER.fine("Tensor rank: " + K); - Optional raggedRank = this.getRaggedRankArgumentValue(builder); - int R = raggedRank.orElse(K - 1); - LOGGER.fine("Ragged rank: " + R); + Set rankArguments = this.getPossibleRaggedRankArguments(builder); - // Step 3: Construct shape with rank K and ragged rank R. + if (rankArguments.isEmpty()) rankArguments.add(K - 1L); // Default ragged rank. - // Get the length of the outer list. - Set possibleOuterListLengths = - getPossibleOuterListLengths(builder, valuePointsToSet); + for (Long R : rankArguments) { + LOGGER.fine("Ragged rank: " + R); - for (int outerListLength : possibleOuterListLengths) { - List> shape = new ArrayList<>(); - shape.add(new NumericDim(outerListLength)); + // Step 3: Construct shape with rank K and ragged rank R. + // The final shape is constructed by concatenating the Ragged Portion and the Uniform + // Portion. - // The first R dimensions are ragged. - for (int i = 0; i < R; i++) shape.add(null); // Unknown size for ragged dimensions. + // Part A: The Ragged Portion (Dimensions 0 to R) - /* - // The remaining K - R dimensions are dense. - for (int i = R; i < K; i++) { - shape.add(new NumericDim(-1)); // Unknown size for dense dimensions. - } - */ + // For the ragged dimensions, TensorFlow does not look for a uniform length. It assigns the + // shape based on the row_splits. - ret.add(shape); + // Get the length of the outer list. + Set possibleOuterListLengths = + getPossibleOuterListLengths(builder, valuePointsToSet); + + for (int outerListLength : possibleOuterListLengths) { + List> shape = new ArrayList<>(); + + // Dim 0 (Batch): Always fixed. It is simply len(input_list). + shape.add(new NumericDim(outerListLength)); + + // The first R dimensions are ragged. + // Dim 1 to R: These are assigned None (or ? in older outputs) in the static shape, + // indicating they can vary. + for (Long i = 0L; i < R; i++) shape.add(null); // Unknown size for ragged dimensions. + + // Part B: The Uniform Portion (Dimensions R + 1 to K) + // If R < K - 1 (meaning you requested fewer ragged dimensions than the total depth), + // TensorFlow enforces uniformity on the remaining inner dimensions. + + // 1. It checks the length of every sub-list at these levels. + // 2. If any lengths differ, it throws a ValueError. + // 3. If they match, that length becomes the fixed size for that dimension. + + if (R < K - 1) { + Set possibleInnerListLengths = + getPossibleInnerListLengths(builder, valuePointsToSet); + + // Determine the uniform lengths for dimensions R + 1 to K - 1. + for (long i = R + 1; i < K; i++) { + for (int innerListLength : possibleInnerListLengths) + shape.add(new NumericDim(innerListLength)); + } + } + + ret.add(shape); + } } } @@ -288,9 +374,46 @@ private static int getMaximumDepthOfInstance( return 1 + getMaximumDepthOfEmptyList(builder, instance); } - private Optional getRaggedRankArgumentValue(PropagationCallGraphBuilder builder) { - // TODO Auto-generated method stub - return Optional.empty(); + protected Set getPossibleRaggedRankArguments(PropagationCallGraphBuilder builder) { + Set ret = HashSetFactory.make(); + int valueNumber = this.getRaggedRankArgumentValueNumber(builder); + + if (valueNumber >= 0) { + PointerAnalysis pointerAnalysis = builder.getPointerAnalysis(); + PointerKey raggedRankPK = + pointerAnalysis.getHeapModel().getPointerKeyForLocal(this.getNode(), valueNumber); + OrdinalSet raggedRankPointsToSet = pointerAnalysis.getPointsToSet(raggedRankPK); + + if (raggedRankPointsToSet == null || raggedRankPointsToSet.isEmpty()) + throw new IllegalArgumentException( + "Empty points-to set for ragged_rank in source: " + this.getSource() + "."); + + for (InstanceKey raggedRankIK : raggedRankPointsToSet) + if (raggedRankIK instanceof ConstantKey) { + ConstantKey constantKey = (ConstantKey) raggedRankIK; + Object constantKeyValue = constantKey.getValue(); + + if (constantKeyValue instanceof Long) { + Long raggedRankValue = (Long) constantKeyValue; + ret.add(raggedRankValue); + } else + throw new IllegalArgumentException( + "Expected an integer for ragged_rank, but found: " + constantKeyValue + "."); + } else + throw new IllegalArgumentException( + "Expected a constant key for ragged_rank, but found: " + raggedRankIK + "."); + } + + return ret; + } + + protected int getRaggedRankParameterPosition() { + return RAGGED_RANK.ordinal(); + } + + protected int getRaggedRankArgumentValueNumber(PropagationCallGraphBuilder builder) { + // TODO: Handle keyword arguments. + return this.getArgumentValueNumber(builder, this.getRaggedRankParameterPosition(), true); } /** @@ -323,6 +446,7 @@ protected EnumSet getDefaultDTypes(PropagationCallGraphBuilder builder) { return EnumSet.of(FLOAT32); } + // Otherwise, there are values available to infer the dtype from. return super.getDefaultDTypes(builder); } } diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant10.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant10.py new file mode 100644 index 000000000..063f419f1 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant10.py @@ -0,0 +1,16 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[[1], [2]], [[3]], [[4], [5], [6]]] + +x = tf.ragged.constant(arg, tf.float32, 1) +assert x.shape == (3, None, 1) +assert x.dtype == tf.float32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant11.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant11.py new file mode 100644 index 000000000..4d48b1417 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant11.py @@ -0,0 +1,17 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[1, 2], [3]] + +x = tf.ragged.constant(arg, tf.float32, 1) + +assert x.shape == (2, None) +assert x.dtype == tf.float32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant12.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant12.py new file mode 100644 index 000000000..f4fea6761 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant12.py @@ -0,0 +1,17 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[[1, 2]], [[3, 4]]] + +x = tf.ragged.constant(arg, tf.float32, 1) + +assert x.shape == (2, None, 2) +assert x.dtype == tf.float32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant7.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant7.py new file mode 100644 index 000000000..043d8cab2 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant7.py @@ -0,0 +1,24 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[1, 2], [3], [4, 5, 6]] +assert isinstance(arg, list) +assert len(arg) == 3 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 2 +assert len(arg[1]) == 1 +assert len(arg[2]) == 3 + +x = tf.ragged.constant(arg, tf.int32) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (3, None) +assert x.dtype == tf.int32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant8.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant8.py new file mode 100644 index 000000000..20c5d1104 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant8.py @@ -0,0 +1,24 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[1, 2], [3], [4, 5, 6]] +assert isinstance(arg, list) +assert len(arg) == 3 +assert all(isinstance(row, list) for row in arg) +assert all(isinstance(x, int) for row in arg for x in row) +assert len(arg[0]) == 2 +assert len(arg[1]) == 1 +assert len(arg[2]) == 3 + +x = tf.ragged.constant(arg, tf.float32) +assert isinstance(x, tf.RaggedTensor) +assert x.shape == (3, None) +assert x.dtype == tf.float32 + +f(x) diff --git a/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant9.py b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant9.py new file mode 100644 index 000000000..cba9e9469 --- /dev/null +++ b/com.ibm.wala.cast.python.test/data/tf2_test_ragged_constant9.py @@ -0,0 +1,16 @@ +# From https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/GradientTape#gradient. + +import tensorflow as tf + + +def f(a): + pass + + +arg = [[[1], [2]], [[3]], [[4], [5], [6]]] + +x = tf.ragged.constant(arg, tf.float32, 2) +assert x.shape == (3, None, None) +assert x.dtype == tf.float32 + +f(x) From 2dd55f13693143f343782a04c3b2b7a803617563 Mon Sep 17 00:00:00 2001 From: Raffi Khatchadourian Date: Mon, 8 Dec 2025 15:52:33 -0500 Subject: [PATCH 253/253] Fix compilation error. --- .../com/ibm/wala/cast/python/ml/client/RaggedConstant.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java index 43e658923..9cce1e1fa 100644 --- a/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java +++ b/com.ibm.wala.cast.python.ml/source/com/ibm/wala/cast/python/ml/client/RaggedConstant.java @@ -98,8 +98,8 @@ private static Set getPossibleInnerListLengths( boolean containsAllListsOrTuples = StreamSupport.stream(instanceFieldPointsToSet.spliterator(), false) .allMatch( - ik -> { - AllocationSiteInNode innerAsin = getAllocationSiteInNode(ik); + ifk -> { + AllocationSiteInNode innerAsin = getAllocationSiteInNode(ifk); if (innerAsin == null) return false;