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torch-mlir/e2e_testing/torchscript
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Yi Zhang a459e09ab7 E2e support for aten.softmax.int and aten.embedding 
- Added a DecomposeComplexOps pass to decompose complex torchOps.
- Refactored `visitAtenArgmaxOp` and `visitAtenAnyDimOp` to
`visitReductionAlongDimIntOp`.
- Moved some helper functions into
torch-mlir/Dialect/Torch/Utils/Utils.h to be shared by multiple files.
- Added support for f64 tensor as argument and return types.
 		2021-10-18 17:57:45 -04:00
..
argmax.py add argmax lowering 2021-10-13 14:31:16 -04:00
basic.py E2e support for aten.softmax.int and aten.embedding 2021-10-18 17:57:45 -04:00
batchnorm.py E2e support for layernorm. 2021-10-04 14:15:13 -04:00
conv.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
elementwise.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
main.py add argmax lowering 2021-10-13 14:31:16 -04:00
mlp.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
quantized_models.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
reduction.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
vision_models.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
xfail_sets.py Add a basic TOSA E2E backend. 2021-10-08 09:59:45 -07:00