mirror of https://github.com/llvm/torch-mlir
4b1e87ce67
This commit provides dummy solution to support elmentwise operations
(mul, add) with scalar argument. ( op(Tensor, Scalar) )
It replaces `torch.aten.add.Tensor` with `torch.aten.add.Scalar`.
```
Unexpected outcome summary: (torchdynamo)
****** Unexpectedly Passed tests - 22 tests
XPASS - "AddCDivModule_basic"
XPASS - "BatchNorm1DModule_basic"
XPASS - "BatchNorm1DStaticShapeModule_basic"
XPASS - "BatchNorm1DWith2DInputModule_basic"
XPASS - "BatchNorm2DModule_basic"
XPASS - "BatchNorm3DModule_basic"
XPASS - "ElementwiseAddScalarInt64Module_basic"
XPASS - "ElementwiseAddScalarIntModule_basic"
XPASS - "ElementwiseMulScalarModule_basic"
XPASS - "ElementwiseMulScalarModule_float"
XPASS - "ElementwiseMulScalarModule_int"
XPASS - "GroupNormModule_basic"
XPASS - "GroupNormNoWeightAndBiasModule_basic"
XPASS - "MobilenetV3Module_basic"
XPASS - "NativeBatchNorm1DModule_basic"
XPASS - "NativeBatchNorm2DModule_basic"
XPASS - "NativeBatchNorm3DModule_basic"
XPASS - "NativeBatchNormNoneWeightModule_basic"
XPASS - "NativeGroupNormBackwardModule_basic"
XPASS - "NativeGroupNormModule_basic"
XPASS - "ResNet18Module_basic"
XPASS - "ResNet18StaticModule_basic"
```
And segfault for test
"ElementwiseAddScalar_TensorLiteralInt32_Module_basic". Somehow this
change doesn't allow to use Tensors, that are not forward arguments, but
local variables of model.
e.g. `self.x = torch.tensor(..)`
See also: #2745
Signed-off-by: Dmitrii Makarenko <dmitrii.makarenko@intel.com>
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| .. | ||
| e2e_testing | ||
| examples | ||
| python | ||
| test | ||
| tools | ||
| CMakeLists.txt | ||