thenumberouscode c106ee8515 [FakeTensor] Supplement the relevant logic for converting conv1d to conv2d in meta_conv (#160408) ...

## Fixes https://github.com/pytorch/pytorch/issues/159462 also fixes #163569 , #163604

## summary
the issue is caused by the wrong stride of conv1d's result generated by meta_conv:
4d5b3f2d5a/torch/_meta_registrations.py (L2453-L2471)

and the wrong stride will be used to codegen size assert in inductor:
4d5b3f2d5a/torch/_inductor/ir.py (L6152-L6163)

## reason
So why the computed stride is wrong in the meta_conv function? because the corresponding backend will convert conv1d to conv2d and change the input tensor' size and memory_format(channel last). but the meta_conv do not do this transformation, so a mismatch happend.
4d5b3f2d5a/aten/src/ATen/native/Convolution.cpp (L1502-L1510)
 just add corresponding logic in meta_conv.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/160408
Approved by: https://github.com/eellison, https://github.com/jansel, https://github.com/mlazos

2025-09-26 15:45:02 +00:00

..

__init__.py

[BE][Easy][14/19] enforce style for empty lines in import segments in torch/_[a-c]*/ and torch/_[e-h]*/ and torch/_[j-z]*/ (#129765)

2024-07-31 10:42:50 +00:00

_fake_tensor_utils.py

Remove dataclass_slots (#163623)

2025-09-26 00:54:42 +00:00

fake_impls.py

[FakeTensor] Supplement the relevant logic for converting conv1d to conv2d in meta_conv (#160408)

2025-09-26 15:45:02 +00:00

fake_tensor.py

Remove dataclass_slots (#163623)

2025-09-26 00:54:42 +00:00

fake_utils.py

[BE][PYFMT] migrate PYFMT for torch/_[a-h]*/ to ruff format (#144551)

2025-06-25 06:16:06 +00:00

functional_tensor.py

[BE][2/16] fix typos in torch/ (torch/_*/) (#156312)

2025-07-12 05:47:06 +00:00

meta_utils.py

[rfc] add hint_override kwarg to mark_dynamic (#161007)

2025-08-21 02:22:52 +00:00

schema_check_mode.py

Remove unused Python variables in torch/[_-a]* (#133492)

2024-12-12 17:39:14 +00:00