torch-mlir/e2e_testing/torchscript
Prateek Gupta ecf78b9849
[TORCH][MLIR] Add E2E support for `aten.gelu_backward` operation. (#418)
This commit adds new operation `aten.gelu_backward` in the aten
dialect and adds lowering of this operation from aten to linalg.

Signed-Off-By: Prateek Gupta <prateek@nod-labs.com>
2021-11-17 14:59:38 +05:30
..
argmax.py add argmax lowering 2021-10-13 14:31:16 -04:00
backprop.py [TORCH][MLIR] Add E2E support for `aten.gelu_backward` operation. (#418) 2021-11-17 14:59:38 +05:30
basic.py Add support for multiple return values 2021-11-16 21:07:45 -05:00
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 Add Rsqrt 2021-11-09 11:08:28 -05:00
main.py Add e2e support for aten._softmax_backward_data. 2021-11-09 13:09:30 +05:30
matmul.py Add lowering of aten.matmul op. 2021-10-26 12:45:09 -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
type_conversion.py Add convertScalarToDtype helper. 2021-11-08 17:50:52 -05:00
type_promotion.py Add convertScalarToDtype helper. 2021-11-08 17:50:52 -05:00
view.py [MLIR][TORCH] Add E2E support for `torch.aten.view` 2021-10-29 22:33:10 +05:30
vision_models.py Add min/max/clamp support. 2021-10-27 13:29:21 -07:00
xfail_sets.py Add support for multiple return values 2021-11-16 21:07:45 -05:00