Laith Sakka 7cfd054075 [attempt 2] Compute contiguity symbolically to avoid dde, and introduce c++ sym_is_contiguous (#157472) ... Summary: When we compute contiguity for a tensor with dynamic shapes we first: 1) Try to compute it without guarding. 2) If all shapes hinted, compute it with potentially adding guards. 3) if any input is not hinted, compute it symbolically. sym_is_contiguous return a SymBool that is then either evaluated or guard_or_false can be called on it to avoid data dependent errors. ex: bool is_contiguous = input.sym_is_contiguous().guard_or_false(__FILE__, __LINE__); is_contiguous_or_false is a helper function that does that. In this PR I only handle default contiguity, will follow up with changes for other formats like channel_last . We use this patter in this PR for several locations to avoid DDEs. Test Plan: contbuild & OSS CI, Rollback Plan: Reviewed By: malfet Differential Revision: D77639021 Pull Request resolved: https://github.com/pytorch/pytorch/pull/157472 Approved by: https://github.com/aorenste		2025-07-02 23:12:29 +00:00
..
ADInplaceOrViewType.cpp
annotated_fn_args.py.in
Functions.cpp	functional compiled autograd (#144707)	2025-01-27 05:20:56 +00:00
Functions.h
python_enum_tag.cpp
python_fft_functions.cpp
python_functions.cpp
python_functions.h
python_linalg_functions.cpp
python_nested_functions.cpp
python_nn_functions.cpp	[3/N] Fix clang-tidy warnings in python_variable_methods.cpp (#139248)	2024-10-31 03:29:19 +00:00
python_return_types.cpp
python_return_types.h
python_sparse_functions.cpp
python_special_functions.cpp
python_torch_functions.cpp
python_variable_methods.cpp	[attempt 2] Compute contiguity symbolically to avoid dde, and introduce c++ sym_is_contiguous (#157472)	2025-07-02 23:12:29 +00:00
TraceType.cpp
variable_factories.h
VariableType.cpp
VariableType.h	Remove ConstQuantizerPtr in torchgen (#142375)	2024-12-10 02:37:01 +00:00
ViewFuncs.cpp
ViewFuncs.h