| .. |
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argmax.py
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add argmax lowering
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2021-10-13 14:31:16 -04:00 |
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backprop.py
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Add e2e test for aten.log_softmax_back_data op
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2021-11-19 00:08:28 +05:30 |
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basic.py
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Add support for passing & returning memref of bool types
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2021-12-09 00:23:38 +05:30 |
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batchnorm.py
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E2e support for layernorm.
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2021-10-04 14:15:13 -04:00 |
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conv.py
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Linalg lowering for aten.conv2d(bias=True)
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2021-12-08 14:44:36 -08:00 |
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elementwise.py
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Add scalar type promotion for mul and div (#454)
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2021-12-03 13:51:25 -06:00 |
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main.py
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Add aten::nll_loss_forward op lowering.
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2021-12-07 17:11:08 +05:30 |
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matmul.py
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Add lowering of aten.matmul op.
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2021-10-26 12:45:09 -04:00 |
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mlp.py
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Support aten::linear with rank 3 inputs
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2021-11-18 22:15:04 +05:30 |
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nll_loss.py
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Add aten::nll_loss_forward op lowering.
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2021-12-07 17:11:08 +05:30 |
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quantized_models.py
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Dual license the torch-mlir project.
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2021-10-01 10:46:08 -07:00 |
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reduction.py
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[MLIR][TORCH] Add E2E support for aten.mean and aten.numel op.
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2021-12-02 11:51:13 +05:30 |
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scalar.py
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add aten.add.int lowering in TorchToStd
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2021-11-29 13:22:50 -05:00 |
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slice_like.py
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Add lowering for slice and selectInt (#398)
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2021-12-02 22:09:21 -06:00 |
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squeeze.py
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[MLIR][TORCH] Add E2E support for `aten.squeeze` op
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2021-11-30 23:00:28 +05:30 |
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type_conversion.py
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Add convertScalarToDtype helper.
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2021-11-08 17:50:52 -05:00 |
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type_promotion.py
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Add scalar type promotion for mul and div (#454)
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2021-12-03 13:51:25 -06:00 |
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view.py
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[MLIR][TORCH] Add E2E support for `torch.aten.view`
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2021-10-29 22:33:10 +05:30 |
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vision_models.py
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Add min/max/clamp support.
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2021-10-27 13:29:21 -07:00 |
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xfail_sets.py
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Add support for passing & returning memref of bool types
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2021-12-09 00:23:38 +05:30 |
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