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run_test.py
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#!/usr/bin/env python3
import argparse
import copy
import glob
import json
import os
import platform
import re
import shutil
import signal
import subprocess
import sys
import tempfile
import time
from collections import defaultdict
from contextlib import ExitStack
from datetime import datetime
from pathlib import Path
from typing import Any, cast, Dict, List, NamedTuple, Optional, Sequence, Tuple, Union
import pkg_resources
import torch
import torch.distributed as dist
from torch.multiprocessing import current_process, get_context
from torch.testing._internal.common_utils import (
get_report_path,
IS_CI,
IS_MACOS,
IS_WINDOWS,
retry_shell,
set_cwd,
shell,
TEST_CUDA,
TEST_WITH_ASAN,
TEST_WITH_CROSSREF,
TEST_WITH_ROCM,
TEST_WITH_SLOW_GRADCHECK,
)
# using tools/ to optimize test run.
REPO_ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(REPO_ROOT))
from tools.stats.import_test_stats import (
ADDITIONAL_CI_FILES_FOLDER,
TEST_CLASS_TIMES_FILE,
TEST_TIMES_FILE,
)
from tools.stats.upload_metrics import add_global_metric, emit_metric
from tools.testing.discover_tests import (
CPP_TEST_PATH,
CPP_TEST_PREFIX,
CPP_TESTS_DIR,
parse_test_module,
TESTS,
)
from tools.testing.do_target_determination_for_s3 import import_results
from tools.testing.target_determination.gen_artifact import gen_ci_artifact
from tools.testing.target_determination.heuristics.previously_failed_in_pr import (
gen_additional_test_failures_file,
)
from tools.testing.target_determination.heuristics.utils import get_pr_number
from tools.testing.test_run import TestRun
from tools.testing.test_selections import (
calculate_shards,
get_test_case_configs,
NUM_PROCS,
ShardedTest,
THRESHOLD,
)
from tools.testing.upload_artifacts import zip_and_upload_artifacts
# Make sure to remove REPO_ROOT after import is done
sys.path.remove(str(REPO_ROOT))
HAVE_TEST_SELECTION_TOOLS = True
TEST_CONFIG = os.getenv("TEST_CONFIG", "")
BUILD_ENVIRONMENT = os.getenv("BUILD_ENVIRONMENT", "")
RERUN_DISABLED_TESTS = os.getenv("PYTORCH_TEST_RERUN_DISABLED_TESTS", "0") == "1"
DISTRIBUTED_TEST_PREFIX = "distributed"
INDUCTOR_TEST_PREFIX = "inductor"
IS_SLOW = "slow" in TEST_CONFIG or "slow" in BUILD_ENVIRONMENT
IS_S390X = platform.machine() == "s390x"
# Note [ROCm parallel CI testing]
# https://github.com/pytorch/pytorch/pull/85770 added file-granularity parallel testing.
# In .ci/pytorch/test.sh, TEST_CONFIG == "default", CUDA and HIP_VISIBLE_DEVICES is set to 0.
# This results in multiple test files sharing the same GPU.
# This should be a supported use case for ROCm, but it exposed issues in the kernel driver resulting in hangs.
# See https://github.com/pytorch/pytorch/issues/90940.
#
# Further, ROCm self-hosted runners have up to 4 GPUs.
# Device visibility was set to 0 to match CUDA test behavior, but this was wasting available GPU resources.
# Assigning each Pool worker their own dedicated GPU avoids the ROCm oversubscription issues.
# This should also result in better overall wall clock time since all GPUs can be utilized.
def maybe_set_hip_visible_devies():
# Special handling of ROCm GHA runners for parallel (file granularity) tests.
if torch.version.hip:
p = current_process()
if p.name != "MainProcess":
# this is a Process from a parallel Pool, not the MainProcess
os.environ["HIP_VISIBLE_DEVICES"] = str(p._identity[0] % NUM_PROCS)
def strtobool(s):
return s.lower() not in {"", "0", "false", "off"}
class TestChoices(list):
def __init__(self, *args, **kwargs):
super().__init__(args[0])
def __contains__(self, item):
return list.__contains__(self, parse_test_module(item))
FSDP_TEST = [test for test in TESTS if test.startswith("distributed/fsdp")]
WINDOWS_BLOCKLIST = [
"distributed/nn/jit/test_instantiator",
"distributed/rpc/test_faulty_agent",
"distributed/rpc/test_tensorpipe_agent",
"distributed/rpc/test_share_memory",
"distributed/rpc/cuda/test_tensorpipe_agent",
"distributed/pipeline/sync/skip/test_api",
"distributed/pipeline/sync/skip/test_gpipe",
"distributed/pipeline/sync/skip/test_inspect_skip_layout",
"distributed/pipeline/sync/skip/test_leak",
"distributed/pipeline/sync/skip/test_portal",
"distributed/pipeline/sync/skip/test_stash_pop",
"distributed/pipeline/sync/skip/test_tracker",
"distributed/pipeline/sync/skip/test_verify_skippables",
"distributed/pipeline/sync/test_balance",
"distributed/pipeline/sync/test_bugs",
"distributed/pipeline/sync/test_checkpoint",
"distributed/pipeline/sync/test_copy",
"distributed/pipeline/sync/test_deferred_batch_norm",
"distributed/pipeline/sync/test_dependency",
"distributed/pipeline/sync/test_inplace",
"distributed/pipeline/sync/test_microbatch",
"distributed/pipeline/sync/test_phony",
"distributed/pipeline/sync/test_pipe",
"distributed/pipeline/sync/test_pipeline",
"distributed/pipeline/sync/test_stream",
"distributed/pipeline/sync/test_transparency",
"distributed/pipeline/sync/test_worker",
"distributed/elastic/agent/server/test/api_test",
"distributed/elastic/multiprocessing/api_test",
"distributed/_shard/checkpoint/test_checkpoint"
"distributed/_shard/checkpoint/test_file_system_checkpoint"
"distributed/_shard/sharding_spec/test_sharding_spec",
"distributed/_shard/sharding_plan/test_sharding_plan",
"distributed/_shard/sharded_tensor/test_sharded_tensor",
"distributed/_shard/sharded_tensor/test_sharded_tensor_reshard",
"distributed/_shard/sharded_tensor/ops/test_embedding",
"distributed/_shard/sharded_tensor/ops/test_embedding_bag",
"distributed/_shard/sharded_tensor/ops/test_binary_cmp",
"distributed/_shard/sharded_tensor/ops/test_init",
"distributed/_shard/sharded_optim/test_sharded_optim",
] + FSDP_TEST
ROCM_BLOCKLIST = [
"distributed/rpc/test_faulty_agent",
"distributed/rpc/test_tensorpipe_agent",
"distributed/rpc/test_share_memory",
"distributed/rpc/cuda/test_tensorpipe_agent",
"distributed/_shard/checkpoint/test_checkpoint"
"distributed/_shard/checkpoint/test_file_system_checkpoint"
"distributed/_shard/sharding_spec/test_sharding_spec",
"distributed/_shard/sharded_tensor/ops/test_embedding",
"distributed/_shard/sharded_tensor/ops/test_embedding_bag",
"distributed/_shard/sharded_tensor/ops/test_binary_cmp",
"distributed/_shard/sharded_tensor/ops/test_init",
"distributed/_shard/sharded_optim/test_sharded_optim",
"test_determination",
"test_jit_legacy",
"test_cuda_nvml_based_avail",
"test_jit_cuda_fuser",
"distributed/tensor/test_attention",
]
# whitelist of tests for s390x
S390X_TESTLIST = [
"backends/xeon/test_launch.py",
"benchmark_utils/test_benchmark_utils.py",
"cpp/apply_utils_test",
"cpp/atest",
"cpp/basic",
"cpp/broadcast_test",
"cpp/cpu_generator_test",
"cpp/Dict_test",
"cpp/Dimname_test",
"cpp/dlconvertor_test",
"cpp/extension_backend_test",
"cpp/lazy_tensor_test",
"cpp/legacy_vmap_test",
"cpp/NamedTensor_test",
"cpp/native_test",
"cpp/operators_test",
"cpp/scalar_tensor_test",
"cpp/scalar_test",
"cpp/tensor_iterator_test",
"cpp/test_api",
"cpp/undefined_tensor_test",
"cpp/wrapdim_test",
"distributions/test_constraints",
"doctests",
"dynamo/test_activation_checkpointing",
"dynamo/test_after_aot",
"dynamo/test_aot_autograd",
"dynamo/test_aot_autograd_cache",
"dynamo/test_autograd_function",
"dynamo/test_backends",
"dynamo/test_backward_higher_order_ops",
"dynamo/test_base_output",
"dynamo/test_bytecode_utils",
"dynamo/test_compile",
"dynamo/test_comptime",
"dynamo/test_config",
"dynamo/test_ctx_manager",
"dynamo/test_cudagraphs",
"dynamo/test_cudagraphs_expandable_segments",
"dynamo/test_debug_utils",
"dynamo/test_decorators",
"dynamo/test_deviceguard",
"dynamo/test_export",
"dynamo/test_export_mutations",
"dynamo/test_frame_init",
"dynamo/test_fx_passes_pre_grad",
"dynamo/test_global",
"dynamo/test_guard_manager",
"dynamo/test_higher_order_ops",
"dynamo/test_hooks",
"dynamo/test_input_attr_tracking",
"dynamo/test_interop",
"dynamo/test_logging",
"dynamo/test_minifier",
"dynamo/test_model_output",
"dynamo/test_modes",
"dynamo/test_modules",
"dynamo/test_nops",
"dynamo/test_optimizers",
"dynamo/test_pre_dispatch",
"dynamo/test_profiler",
"dynamo/test_python_autograd",
"dynamo/test_recompiles",
"dynamo/test_recompile_ux",
"dynamo/test_reconstruct",
"dynamo/test_reorder_logs",
"dynamo/test_repros",
"dynamo/test_resume",
"dynamo/test_sdpa",
"dynamo/test_skip_non_tensor",
"dynamo/test_sources",
"dynamo/test_structured_trace",
"dynamo/test_subclasses",
"dynamo/test_subgraphs",
"dynamo/test_torchrec",
"dynamo/test_unspec",
"dynamo/test_utils",
"dynamo/test_verify_correctness",
"dynamo/test_view",
"export/test_db",
"export/test_experimental",
"export/test_export",
"export/test_export_nonstrict",
"export/test_export_training_ir_to_run_decomp",
"export/test_functionalized_assertions",
"export/test_hop",
"export/test_lift_unlift",
"export/test_passes",
"export/test_pass_infra",
"export/test_retraceability",
"export/test_schema",
"export/test_serdes",
"export/test_serialize",
"export/test_sparse",
"export/test_swap",
"export/test_tools",
"export/test_torchbind",
"export/test_tree_utils",
"export/test_unflatten",
"export/test_unflatten_training_ir",
"export/test_verifier",
"functorch/test_ac",
"functorch/test_control_flow",
"functorch/test_eager_transforms",
"functorch/test_logging",
"functorch/test_minifier",
"higher_order_ops/test_with_effects.py",
"inductor/test_auto_functionalize",
"inductor/test_autoheuristic",
"inductor/test_b2b_gemm",
"inductor/test_benchmarking",
"inductor/test_ck_backend",
"inductor/test_codecache",
"inductor/test_codegen_triton",
"inductor/test_combo_kernels",
"inductor/test_compiled_autograd",
"inductor/test_compiled_optimizers",
"inductor/test_compile_worker",
"inductor/test_config",
"inductor/test_control_flow",
"inductor/test_coordinate_descent_tuner",
"inductor/test_cpp_wrapper_hipify",
"inductor/test_cpu_cpp_wrapper",
"inductor/test_cudagraph_trees",
"inductor/test_cudagraph_trees_expandable_segments",
"inductor/test_cuda_repro",
"inductor/test_custom_lowering",
"inductor/test_cutlass_backend",
"inductor/test_debug_trace",
"inductor/test_decompose_mem_bound_mm",
"inductor/test_dependencies",
"inductor/test_distributed_patterns",
"inductor/test_efficient_conv_bn_eval",
"inductor/test_extension_backend",
"inductor/test_external_callables",
"inductor/test_flex_attention",
"inductor/test_flex_decoding",
"inductor/test_foreach",
"inductor/test_fp8",
"inductor/test_fx_fusion",
"inductor/test_graph_transform_observer",
"inductor/test_group_batch_fusion",
"inductor/test_gpu_cpp_wrapper",
"inductor/test_halide",
"inductor/test_indexing",
"inductor/test_inductor_freezing",
"inductor/test_loop_ordering",
"inductor/test_memory",
"inductor/test_memory_planning",
"inductor/test_metrics",
"inductor/test_minifier",
"inductor/test_minifier_isolate",
"inductor/test_mmdecomp",
"inductor/test_padding",
"inductor/test_pad_mm",
"inductor/test_profiler",
"inductor/test_scatter_optimization",
"inductor/test_smoke",
"inductor/test_standalone_compile",
"inductor/test_torchbind",
"inductor/test_triton_cpu_backend",
"inductor/test_triton_extension_backend",
"inductor/test_triton_heuristics",
"inductor/test_triton_kernels",
"inductor/test_utils",
"inductor/test_xpu_basic",
"lazy/test_bindings",
"lazy/test_debug_util",
"lazy/test_extract_compiled_graph",
"lazy/test_functionalization",
"lazy/test_generator",
"lazy/test_reuse_ir",
"lazy/test_step_closures",
"lazy/test_ts_opinfo",
"nn/test_convolution.py",
"nn/test_dropout.py",
"nn/test_embedding.py",
"nn/test_init.py",
"nn/test_lazy_modules.py",
"nn/test_load_state_dict.py",
"nn/test_module_hooks.py",
"nn/test_multihead_attention.py",
"nn/test_packed_sequence.py",
"nn/test_parametrization.py",
"nn/test_pooling.py",
"nn/test_pruning.py",
"optim/test_lrscheduler",
"optim/test_swa_utils",
"profiler/test_cpp_thread",
"profiler/test_execution_trace",
"profiler/test_memory_profiler",
"profiler/test_record_function",
"profiler/test_torch_tidy",
"test_autocast",
"test_autograd",
"test_autograd_fallback",
"test_autoload",
"test_autoload_disable",
"test_autoload_enable",
"test_bundled_inputs",
"test_comparison_utils",
"test_compile_benchmark_util",
"test_complex",
"test_content_store",
"test_cpp_api_parity",
"test_cpp_extensions_aot_ninja",
"test_cpp_extensions_aot_no_ninja",
"test_cpp_extensions_jit",
"test_cpp_extensions_mtia_backend",
"test_cpp_extensions_stream_and_event",
"test_cuda",
"test_cuda_expandable_segments",
"test_cuda_multigpu",
"test_cuda_nvml_based_avail",
"test_cuda_primary_ctx",
"test_cuda_sanitizer",
"test_cuda_trace",
"test_custom_ops",
"test_datapipe",
"test_deploy",
"test_dispatch",
"test_dlpack",
"test_dynamic_shapes",
"test_expanded_weights",
"test_fake_tensor",
"test_file_check",
"test_flop_counter",
"test_functionalization",
"test_functionalization_of_rng_ops",
"test_functional_optim",
"test_function_schema",
"test_futures",
"test_hub",
"test_import_stats",
"test_indexing",
"test_itt",
"test_legacy_vmap",
"test_logging",
"test_masked",
"test_maskedtensor",
"test_matmul_cuda",
"test_mkldnn",
"test_mkldnn_fusion",
"test_mkldnn_verbose",
"test_mkl_verbose",
"test_mobile_optimizer",
"test_model_exports_to_core_aten",
"test_module_tracker",
"test_monitor",
"test_namedtuple_return_api",
"test_native_mha",
"test_nestedtensor",
"test_numba_integration",
"test_numpy_interop",
"test_openmp",
"test_out_dtype_op",
"test_overrides",
"test_package",
"test_per_overload_api",
"test_prims",
"test_pruning_op",
"test_python_dispatch",
"test_scatter_gather_ops",
"test_segment_reductions",
"test_serialization",
"test_set_default_mobile_cpu_allocator",
"test_shape_ops",
"test_show_pickle",
"test_sort_and_select",
"test_spectral_ops",
"test_stateless",
"test_subclass",
"test_tensorboard",
"test_tensor_creation_ops",
"test_tensorexpr",
"test_tensorexpr_pybind",
"test_torch",
"test_transformers",
"test_type_hints",
"test_type_info",
"test_type_promotion",
"test_typing",
"test_utils",
"test_view_ops",
"test_vulkan",
"test_weak",
"test_xnnpack_integration",
"torch_np/numpy_tests/core/test_dlpack",
"torch_np/numpy_tests/core/test_dtype",
"torch_np/numpy_tests/core/test_einsum",
"torch_np/numpy_tests/core/test_getlimits",
"torch_np/numpy_tests/core/test_indexing",
"torch_np/numpy_tests/core/test_numeric",
"torch_np/numpy_tests/core/test_numerictypes",
"torch_np/numpy_tests/core/test_scalar_ctors",
"torch_np/numpy_tests/core/test_scalarinherit",
"torch_np/numpy_tests/core/test_scalarmath",
"torch_np/numpy_tests/core/test_scalar_methods",
"torch_np/numpy_tests/core/test_shape_base",
"torch_np/numpy_tests/fft/test_helper",
"torch_np/numpy_tests/fft/test_pocketfft",
"torch_np/numpy_tests/lib/test_arraypad",
"torch_np/numpy_tests/lib/test_arraysetops",
"torch_np/numpy_tests/lib/test_function_base",
"torch_np/numpy_tests/lib/test_histograms",
"torch_np/numpy_tests/lib/test_index_tricks",
"torch_np/numpy_tests/lib/test_shape_base_",
"torch_np/numpy_tests/lib/test_twodim_base",
"torch_np/numpy_tests/lib/test_type_check",
"torch_np/numpy_tests/linalg/test_linalg",
"torch_np/test_basic",
"torch_np/test_binary_ufuncs",
"torch_np/test_dtype",
"torch_np/test_function_base",
"torch_np/test_ndarray_methods",
"torch_np/test_nep50_examples",
"torch_np/test_random",
"torch_np/test_reductions",
"torch_np/test_scalars_0D_arrays",
"torch_np/test_ufuncs_basic",
"torch_np/test_unary_ufuncs",
"xpu/test_conv.py",
"xpu/test_gemm.py",
]
XPU_BLOCKLIST = [
"test_autograd",
"profiler/test_cpp_thread",
"profiler/test_execution_trace",
"profiler/test_memory_profiler",
"profiler/test_profiler",
"profiler/test_profiler_tree",
"profiler/test_record_function",
"profiler/test_torch_tidy",
]
XPU_TEST = [
"test_xpu",
]
# The tests inside these files should never be run in parallel with each other
RUN_PARALLEL_BLOCKLIST = [
"test_cpp_extensions_jit",
"test_cpp_extensions_open_device_registration",
"test_cpp_extensions_stream_and_event",
"test_cpp_extensions_mtia_backend",
"test_jit_disabled",
"test_mobile_optimizer",
"test_multiprocessing",
"test_multiprocessing_spawn",
"test_namedtuple_return_api",
"test_overrides",
"test_show_pickle",
"test_tensorexpr",
"test_cuda_primary_ctx",
"test_cuda_trace",
"inductor/test_benchmark_fusion",
"test_cuda_nvml_based_avail",
# temporarily sets a global config
"test_autograd_fallback",
"inductor/test_compiler_bisector",
] + FSDP_TEST
# Test files that should always be run serially with other test files,
# but it's okay if the tests inside them are run in parallel with each other.
CI_SERIAL_LIST = [
"test_nn",
"test_fake_tensor",
"test_cpp_api_parity",
"test_reductions",
"test_fx_backends",
"test_cpp_extensions_jit",
"test_torch",
"test_tensor_creation_ops",
"test_dispatch",
"test_python_dispatch", # torch.library creation and deletion must be serialized
"test_spectral_ops", # Cause CUDA illegal memory access https://github.com/pytorch/pytorch/issues/88916
"nn/test_pooling",
"nn/test_convolution", # Doesn't respect set_per_process_memory_fraction, results in OOM for other tests in slow gradcheck
"distributions/test_distributions",
"test_fx", # gets SIGKILL
"functorch/test_memory_efficient_fusion", # Cause CUDA OOM on ROCm
"test_utils", # OOM
"test_sort_and_select", # OOM
"test_backward_compatible_arguments", # OOM
"test_autocast", # OOM
"test_native_mha", # OOM
"test_module_hooks", # OOM
"inductor/test_max_autotune",
"inductor/test_cutlass_backend", # slow due to many nvcc compilation steps,
"inductor/test_flex_attention", # OOM
]
# A subset of onnx tests that cannot run in parallel due to high memory usage.
ONNX_SERIAL_LIST = [
"onnx/test_models",
"onnx/test_models_quantized_onnxruntime",
"onnx/test_models_onnxruntime",
"onnx/test_custom_ops",
"onnx/test_utility_funs",
]
# A subset of our TEST list that validates PyTorch's ops, modules, and autograd function as expected
CORE_TEST_LIST = [
"test_autograd",
"test_autograd_fallback",
"test_modules",
"test_nn",
"test_ops",
"test_ops_gradients",
"test_ops_fwd_gradients",
"test_ops_jit",
"test_torch",
]
# if a test file takes longer than 5 min, we add it to TARGET_DET_LIST
SLOW_TEST_THRESHOLD = 300
DISTRIBUTED_TESTS_CONFIG = {}
if dist.is_available():
DISTRIBUTED_TESTS_CONFIG["test"] = {"WORLD_SIZE": "1"}
if not TEST_WITH_ROCM and dist.is_mpi_available():
DISTRIBUTED_TESTS_CONFIG["mpi"] = {
"WORLD_SIZE": "3",
"TEST_REPORT_SOURCE_OVERRIDE": "dist-mpi",
}
if dist.is_nccl_available():
DISTRIBUTED_TESTS_CONFIG["nccl"] = {
"WORLD_SIZE": f"{torch.cuda.device_count()}",
"TEST_REPORT_SOURCE_OVERRIDE": "dist-nccl",
}
if dist.is_gloo_available():
DISTRIBUTED_TESTS_CONFIG["gloo"] = {
# TODO: retire testing gloo with CUDA
"WORLD_SIZE": f"{torch.cuda.device_count()}",
"TEST_REPORT_SOURCE_OVERRIDE": "dist-gloo",
}
# Test with UCC backend is deprecated.
# See https://github.com/pytorch/pytorch/pull/137161
# if dist.is_ucc_available():
# DISTRIBUTED_TESTS_CONFIG["ucc"] = {
# "WORLD_SIZE": f"{torch.cuda.device_count()}",
# "TEST_REPORT_SOURCE_OVERRIDE": "dist-ucc",
# "UCX_TLS": "tcp,cuda",
# "UCC_TLS": "nccl,ucp,cuda",
# "UCC_TL_UCP_TUNE": "cuda:0", # don't use UCP TL on CUDA as it is not well supported
# "UCC_EC_CUDA_USE_COOPERATIVE_LAUNCH": "n", # CI nodes (M60) fail if it is on
# }
# https://stackoverflow.com/questions/2549939/get-signal-names-from-numbers-in-python
SIGNALS_TO_NAMES_DICT = {
getattr(signal, n): n for n in dir(signal) if n.startswith("SIG") and "_" not in n
}
CPP_EXTENSIONS_ERROR = """
Ninja (https://ninja-build.org) is required for some of the C++ extensions
tests, but it could not be found. Install ninja with `pip install ninja`
or `conda install ninja`. Alternatively, disable said tests with
`run_test.py --exclude test_cpp_extensions_aot_ninja test_cpp_extensions_jit`.
"""
PYTORCH_COLLECT_COVERAGE = bool(os.environ.get("PYTORCH_COLLECT_COVERAGE"))
JIT_EXECUTOR_TESTS = [
"test_jit_profiling",
"test_jit_legacy",
"test_jit_fuser_legacy",
]
INDUCTOR_TESTS = [test for test in TESTS if test.startswith(INDUCTOR_TEST_PREFIX)]
DISTRIBUTED_TESTS = [test for test in TESTS if test.startswith(DISTRIBUTED_TEST_PREFIX)]
TORCH_EXPORT_TESTS = [test for test in TESTS if test.startswith("export")]
AOT_DISPATCH_TESTS = [
test for test in TESTS if test.startswith("functorch/test_aotdispatch")
]
FUNCTORCH_TESTS = [test for test in TESTS if test.startswith("functorch")]
ONNX_TESTS = [test for test in TESTS if test.startswith("onnx")]
CPP_TESTS = [test for test in TESTS if test.startswith(CPP_TEST_PREFIX)]
TESTS_REQUIRING_LAPACK = [
"distributions/test_constraints",
"distributions/test_distributions",
]
# These are just the slowest ones, this isn't an exhaustive list.
TESTS_NOT_USING_GRADCHECK = [
# Note that you should use skipIfSlowGradcheckEnv if you do not wish to
# skip all the tests in that file, e.g. test_mps
"doctests",
"test_meta",
"test_hub",
"test_fx",
"test_decomp",
"test_cpp_extensions_jit",
"test_jit",
"test_ops",
"test_ops_jit",
"dynamo/test_recompile_ux",
"inductor/test_smoke",
"test_quantization",
]
def print_to_stderr(message):
print(message, file=sys.stderr)
def get_executable_command(options, disable_coverage=False, is_cpp_test=False):
if options.coverage and not disable_coverage:
if not is_cpp_test:
executable = ["coverage", "run", "--parallel-mode", "--source=torch"]
else:
# TODO: C++ with coverage is not yet supported
executable = []
else:
if not is_cpp_test:
executable = [sys.executable, "-bb"]
else:
executable = ["pytest"]
return executable
def run_test(
test_module: ShardedTest,
test_directory,
options,
launcher_cmd=None,
extra_unittest_args=None,
env=None,
print_log=True,
) -> int:
scribe_token = os.getenv("SCRIBE_GRAPHQL_ACCESS_TOKEN", "")
if scribe_token:
print_to_stderr("SCRIBE_GRAPHQL_ACCESS_TOKEN is set")
else:
print_to_stderr("SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set")
env = env or os.environ.copy()
maybe_set_hip_visible_devies()
unittest_args = options.additional_args.copy()
test_file = test_module.name
stepcurrent_key = test_file
is_distributed_test = test_file.startswith(DISTRIBUTED_TEST_PREFIX)
is_cpp_test = test_file.startswith(CPP_TEST_PREFIX)
# NB: Rerun disabled tests depends on pytest-flakefinder and it doesn't work with
# pytest-cpp atm. We also don't have support to disable C++ test yet, so it's ok
# to just return successfully here
if is_cpp_test and RERUN_DISABLED_TESTS:
print_to_stderr(
"Skipping C++ tests when running under RERUN_DISABLED_TESTS mode"
)
return 0
if is_cpp_test:
stepcurrent_key = f"{test_file}_{os.urandom(8).hex()}"
else:
unittest_args.extend(
[
f"--shard-id={test_module.shard}",
f"--num-shards={test_module.num_shards}",
]
)
stepcurrent_key = f"{test_file}_{test_module.shard}_{os.urandom(8).hex()}"
if options.verbose:
unittest_args.append(f'-{"v" * options.verbose}') # in case of pytest
if test_file in RUN_PARALLEL_BLOCKLIST:
unittest_args = [
arg for arg in unittest_args if not arg.startswith("--run-parallel")
]
if extra_unittest_args:
assert isinstance(extra_unittest_args, list)
unittest_args.extend(extra_unittest_args)
# If using pytest, replace -f with equivalent -x
if options.pytest:
unittest_args.extend(
get_pytest_args(
options,
is_cpp_test=is_cpp_test,
is_distributed_test=is_distributed_test,
)
)
unittest_args.extend(test_module.get_pytest_args())
replacement = {"-f": "-x"}
unittest_args = [replacement.get(arg, arg) for arg in unittest_args]
if options.showlocals:
if options.pytest:
unittest_args.extend(["--showlocals", "--tb=long", "--color=yes"])
else:
unittest_args.append("--locals")
# NB: These features are not available for C++ tests, but there is little incentive
# to implement it because we have never seen a flaky C++ test before.
if IS_CI and not is_cpp_test:
ci_args = ["--import-slow-tests", "--import-disabled-tests"]
if RERUN_DISABLED_TESTS:
ci_args.append("--rerun-disabled-tests")
# use the downloaded test cases configuration, not supported in pytest
unittest_args.extend(ci_args)
if test_file in PYTEST_SKIP_RETRIES:
if not options.pytest:
raise RuntimeError(
"A test running without pytest cannot skip retries using "
"the PYTEST_SKIP_RETRIES set."
)
unittest_args = [arg for arg in unittest_args if "--reruns" not in arg]
# Extra arguments are not supported with pytest
executable = get_executable_command(options, is_cpp_test=is_cpp_test)
if not executable:
# If there is no eligible executable returning here, it means an unsupported
# case such as coverage for C++ test. So just returning ok makes sense
return 0
if test_file.startswith(CPP_TEST_PREFIX):
# C++ tests are not the regular test directory
if CPP_TESTS_DIR:
cpp_test = os.path.join(
CPP_TESTS_DIR,
test_file.replace(f"{CPP_TEST_PREFIX}/", ""),
)
else:
cpp_test = os.path.join(
Path(test_directory).parent,
CPP_TEST_PATH,
test_file.replace(f"{CPP_TEST_PREFIX}/", ""),
)
argv = [
cpp_test if sys.platform != "win32" else cpp_test + ".exe"
] + unittest_args
else:
# Can't call `python -m unittest test_*` here because it doesn't run code
# in `if __name__ == '__main__': `. So call `python test_*.py` instead.
argv = [test_file + ".py"] + unittest_args
os.makedirs(REPO_ROOT / "test" / "test-reports", exist_ok=True)
if options.pipe_logs:
log_fd, log_path = tempfile.mkstemp(
dir=REPO_ROOT / "test" / "test-reports",
prefix=f"{sanitize_file_name(str(test_module))}_",
suffix="_toprint.log",
)
os.close(log_fd)
command = (launcher_cmd or []) + executable + argv
should_retry = (
"--subprocess" not in command
and not RERUN_DISABLED_TESTS
and not is_cpp_test
and "-n" not in command
)
timeout = (
None
if not options.enable_timeout
else THRESHOLD * 6
if IS_SLOW
else THRESHOLD * 3
if should_retry
and isinstance(test_module, ShardedTest)
and test_module.time is not None
else THRESHOLD * 3
if is_cpp_test
else None
)
print_to_stderr(f"Executing {command} ... [{datetime.now()}]")
with ExitStack() as stack:
output = None
if options.pipe_logs:
output = stack.enter_context(open(log_path, "w"))
if should_retry:
ret_code, was_rerun = run_test_retries(
command,
test_directory,
env,
timeout,
stepcurrent_key,
output,
options.continue_through_error,
)
else:
command.extend([f"--sc={stepcurrent_key}", "--print-items"])
ret_code, was_rerun = retry_shell(
command,
test_directory,
stdout=output,
stderr=output,
env=env,
timeout=timeout,
retries=0,
)
# Pytest return code 5 means no test is collected. Exit code 4 is
# returned when the binary is not a C++ test executable, but 4 can
# also be returned if the file fails before running any tests. All
# binary files under build/bin that are not C++ test at the time of
# this writing have been excluded and new ones should be added to
# the list of exclusions in tools/testing/discover_tests.py
ret_code = 0 if ret_code == 5 else ret_code
if options.pipe_logs and print_log:
handle_log_file(
test_module, log_path, failed=(ret_code != 0), was_rerun=was_rerun
)
return ret_code
def try_set_cpp_stack_traces(env, command, set=True):
# Print full c++ stack traces during retries
env = env or {}
env["TORCH_SHOW_CPP_STACKTRACES"] = "1" if set else "0"
return env
def run_test_retries(
command,
test_directory,
env,
timeout,
stepcurrent_key,
output,
continue_through_error,
):
# Run the test with -x to stop at first failure. Rerun the test by itself.
# If it succeeds, move on to the rest of the tests in a new process. If it
# still fails, see below
#
# If continue through error is not set, then we fail fast.
#
# If continue through error is set, then we skip that test, and keep going.
# Basically if the same test fails 3 times in a row, skip the test on the
# next run, but still fail in the end. I take advantage of the value saved
# in stepcurrent to keep track of the most recently run test (which is the
# one that failed if there was a failure).
def print_to_file(s):
print(s, file=output, flush=True)
num_failures = defaultdict(int)
print_items = ["--print-items"]
sc_command = f"--sc={stepcurrent_key}"
while True:
ret_code, _ = retry_shell(
command + [sc_command] + print_items,
test_directory,
stdout=output,
stderr=output,
env=env,
timeout=timeout,
retries=0, # no retries here, we do it ourselves, this is because it handles timeout exceptions well
)
ret_code = 0 if ret_code == 5 else ret_code
if ret_code == 0 and not sc_command.startswith("--rs="):
break # Got to the end of the test suite successfully
signal_name = f" ({SIGNALS_TO_NAMES_DICT[-ret_code]})" if ret_code < 0 else ""
print_to_file(f"Got exit code {ret_code}{signal_name}")
# Read what just failed/ran
try:
with open(
REPO_ROOT / ".pytest_cache/v/cache/stepcurrent" / stepcurrent_key
) as f:
current_failure = f.read()
except FileNotFoundError:
print_to_file(
"No stepcurrent file found. Either pytest didn't get to run (e.g. import error)"
+ " or file got deleted (contact dev infra)"
)
break
env = try_set_cpp_stack_traces(env, command, set=False)
if ret_code != 0:
num_failures[current_failure] += 1
if ret_code == 0:
# Rerunning the previously failing test succeeded, so now we can
# skip it and move on
sc_command = f"--scs={stepcurrent_key}"
print_to_file(
"Test succeeeded in new process, continuing with the rest of the tests"
)
elif num_failures[current_failure] >= 3:
if not continue_through_error:
print_to_file("Stopping at first consistent failure")
break
sc_command = f"--scs={stepcurrent_key}"
print_to_file(
"Test failed consistently, "
"continuing with the rest of the tests due to continue-through-error being set"
)
else:
env = try_set_cpp_stack_traces(env, command, set=True)
sc_command = f"--rs={stepcurrent_key}"
print_to_file("Retrying single test...")
print_items = [] # do not continue printing them, massive waste of space
consistent_failures = [x[1:-1] for x in num_failures.keys() if num_failures[x] >= 3]
flaky_failures = [x[1:-1] for x in num_failures.keys() if 0 < num_failures[x] < 3]
if len(flaky_failures) > 0: