torch-mlir/lib/Conversion/TorchToLinalg
Vivek Khandelwal 88c216da13 [MLIR][TORCH] Add support for same input and output shapes for view op
This commit adds support for the cases of view op where the rank and
the shapes of the input and result are equal.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-25 22:26:10 +05:30
..
CMakeLists.txt Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
DataMovement.cpp [MLIR][TORCH] Add support for same input and output shapes for view op 2022-03-25 22:26:10 +05:30
IndirectDataMovement.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
Linear.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
Pooling.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
PopulatePatterns.h Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
Random.cpp Improve "pseudo" op terminology. 2022-03-15 17:57:52 -07:00
Reduction.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
TensorConstructors.cpp Improve "pseudo" op terminology. 2022-03-15 17:57:52 -07:00
TensorScalarInterop.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
TorchToLinalg.cpp Bump LLVM at 8361c5da30588d3d4a48eae648f53be1feb5cfad 2022-03-18 13:16:14 -04:00
Uncategorized.cpp Add final cast to TorchToLinalg conversions missing it (#692) 2022-03-23 13:52:32 -07:00
Utils.cpp Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00
Utils.h Split up TorchToLinalg.cpp 2022-03-14 10:19:41 -07:00