fix: move shape definition before use in mean_dim function#20
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- Add comprehensive tests in tests/test_batch_invariant_ops.py - Fix mean_dim to handle empty dimension (return zeros instead of NaN) Good day, Thank you for your work on this excellent library! Warmly, RoomWithOutRoof
Added softmax along with log_softmax, expanding batch-invariant operations. Good day! Warmly, RoomWithoutRoof
Fixes Issue thinking-machines-lab#15: Fix NaN in mean_kernel for empty dimension When the reduction dimension is empty (N==0), return 0 to avoid NaN. Good day! Warmly, RoomWithoutRoof
…ibility The flatten parameter was removed in Triton 3.x public release. This changes tl.range(..., flatten=True) to Python's built-in range(), which works inside @triton.jit functions and is compatible with all versions. Fixes: TypeError: range.__init__() got an unexpected keyword argument 'flatten'
The shape variable was referenced before it was defined, causing a potential NameError when handling empty dimension case. This fix reorders the code to define shape before the empty dimension check.
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Good day,
I found a bug in the
mean_dimfunction where theshapevariable was referenced before it was defined. This causes a potentialNameErrorwhen handling the empty dimension case.Changes
shape = list(input.shape)definition before the empty dimension checkThis fix ensures the code executes correctly when passing a tensor with an empty dimension (e.g., shape
(1, 0, 8)).Thank you for your work...
Warmly, RoomWithOutRoof