..
argmax.py
add argmax lowering
2021-10-13 14:31:16 -04:00
backprop.py
Add e2e test for aten.log_softmax_back_data op
2021-11-19 00:08:28 +05:30
basic.py
Added aten::t() Op
2021-12-22 10:57:10 -05:00
batchnorm.py
[MLIR][TORCH] Add E2E support for `aten.native_layer_norm`. ( #470 )
2021-12-10 19:06:19 +05:30
conv.py
Linalg lowering for aten.conv2d(bias=True)
2021-12-08 14:44:36 -08:00
elementwise.py
[TORCH][MLIR] Fold trivial cases of `aten.to.dtype` and `aten.view` op
2021-12-24 13:32:34 +05:30
index_select.py
[MLIR][TORCH] Add E2E support for aten.index_select op
2021-12-09 23:13:36 +05:30
main.py
[MLIR][TORCH] Add E2E support for aten.index_select op
2021-12-09 23:13:36 +05:30
matmul.py
Add lowering of aten.matmul op.
2021-10-26 12:45:09 -04:00
mlp.py
Support aten::linear with rank 3 inputs
2021-11-18 22:15:04 +05:30
nll_loss.py
Add aten::nll_loss_forward op lowering.
2021-12-07 17:11:08 +05:30
quantized_models.py
Dual license the torch-mlir project.
2021-10-01 10:46:08 -07:00
reduction.py
[MLIR][TORCH] Add E2E support for aten.mean and aten.numel op.
2021-12-02 11:51:13 +05:30
scalar.py
add aten.sub.int/aten.mul.int lowering in TorchToStd
2021-12-17 10:35:15 -08:00
slice_like.py
Small fixes for slice edge cases ( #476 )
2021-12-15 15:54:41 -06:00
squeeze.py
[TORCH][MLIR] Add E2E support for `aten.squeeze.dim` op
2021-12-10 17:01:20 +05:30
type_conversion.py
Add convertScalarToDtype helper.
2021-11-08 17:50:52 -05:00
type_promotion.py
Add scalar type promotion for mul and div ( #454 )
2021-12-03 13:51:25 -06:00
view.py
[TORCH][MLIR] Fold trivial cases of `aten.to.dtype` and `aten.view` op
2021-12-24 13:32:34 +05:30
vision_models.py
Add min/max/clamp support.
2021-10-27 13:29:21 -07:00
xfail_sets.py
[TORCH][MLIR] Fold trivial cases of `aten.to.dtype` and `aten.view` op
2021-12-24 13:32:34 +05:30