.. |
argmax.py
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add argmax lowering
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2021-10-13 14:31:16 -04:00 |
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 |
basic.py
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[TORCH][MLIR] Add and templatize lowering of [`aten.zeros|aten.ones|aten.empty`] ops
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2021-12-14 00:07:11 +05:30 |
batchnorm.py
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[MLIR][TORCH] Add E2E support for `aten.native_layer_norm`. (#470)
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2021-12-10 19:06:19 +05:30 |
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 |
elementwise.py
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Add support for int types in gtScalar op.
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2021-12-14 01:29:52 +05:30 |
index_select.py
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[MLIR][TORCH] Add E2E support for aten.index_select op
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2021-12-09 23:13:36 +05:30 |
main.py
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[MLIR][TORCH] Add E2E support for aten.index_select op
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2021-12-09 23:13:36 +05:30 |
matmul.py
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Add lowering of aten.matmul op.
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2021-10-26 12:45:09 -04:00 |
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 |
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 |
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 |
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 |
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 |
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 |
squeeze.py
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[TORCH][MLIR] Add E2E support for `aten.squeeze.dim` op
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2021-12-10 17:01:20 +05:30 |
type_conversion.py
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Add convertScalarToDtype helper.
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2021-11-08 17:50:52 -05:00 |
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 |
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 |
vision_models.py
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Add min/max/clamp support.
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2021-10-27 13:29:21 -07:00 |
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 |