..
__init__.py
Allow torch-mlir to support PyTorch extensions. ( #895 )
2022-06-13 14:51:30 -07:00
arange.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
argmax.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
backprop.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
basic.py
[LINALG] Add 0-rank case for `aten.permute` ( #940 )
2022-06-14 12:50:46 -07:00
cast.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
constant_alloc.py
[LINALG] Add support for preserve memory format in aten_empty_like op.
2022-05-10 09:37:55 +05:30
control_flow.py
[TORCH][MLIR]Add lowering for control flow operations.
2022-04-29 16:25:58 +05:30
conv.py
Add 2D case for convolution ( #693 )
2022-04-08 00:47:57 -04:00
custom_op_example.py
Allow torch-mlir to support PyTorch extensions. ( #895 )
2022-06-13 14:51:30 -07:00
elementwise.py
[MLIR][TORCH] Add decomposition of aten.floor_divide op
2022-06-14 08:56:25 +05:30
elementwise_comparison.py
Add E2E support for AtenAllBoolOp ( #874 )
2022-06-01 18:20:25 -07:00
histogram_binning_calibration.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
index_put.py
Make e2e testing parallel
2022-05-05 21:27:58 -04:00
index_select.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
matmul.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
mlp.py
Handle `nn.Linear(..., bias=False)` case for TorchToLinalg ( #919 )
2022-06-08 21:13:43 -05:00
nll_loss.py
Add 1D, weight, and reduction support to nll_loss_backward ( #729 )
2022-04-04 10:57:49 -07:00
norm_like.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
pooling.py
[MLIR][TORCH] Add decomposition of aten.adaptive_avg_pool2d op
2022-05-27 07:56:37 +05:30
quantized_models.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
reduction.py
torch,linalg: add support for translating aten.linalg.vector_norm ( #839 )
2022-05-19 15:48:15 -07:00
reshape_like.py
This commit decomposes aten._reshape_alias op into aten.view op. ( #690 )
2022-03-28 23:54:28 -05:00
return_types.py
[REFBACKEND] Add support for returning multiple different return types.
2022-04-21 09:02:30 +05:30
rng.py
Add shape info to `rand_like` + support for `dtype` flag ( #851 )
2022-05-12 16:00:59 -07:00
scalar.py
[MLIR][TORCH] Add E2E support for aten.Bool.[float|int] op
2022-05-24 21:18:34 +05:30
scalar_comparison.py
[MLIR][TORCH] E2E support for [ge|ceil].float, [ge|ne|gt].float_int op
2022-05-05 21:48:35 +05:30
slice_like.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
squeeze.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
stats.py
[LINALG] Add E2E support for `aten.mean.dim` op
2022-05-04 20:11:42 +05:30
table_batch_embedding.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
threshold.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
type_conversion.py
[MLIR][TORCH] Add E2E support for aten.to.dtype_layout op
2022-05-03 12:48:58 +05:30
type_promotion.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00
vision_models.py
Move e2e test definitions into the `torch_mlir_e2e_test` package
2022-03-25 13:56:41 -07:00