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torch-mlir/e2e_testing/torchscript
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Liam Fitzpatrick 077e55d756 Add support for constant_pad_nd 
Note that to enable folding of the code coming from an example
like the ConstantPad2dStaticModule e2e test, support for other
operations had to be added/improved:
- aten::neg.int
- aten::eq.float
- aten::eq.str
- prim::Uninitialized
 		2022-01-11 10:25:25 -05:00
..
arange.py [MLIR][TORCH] Add E2E support for torch.arange op 2021-12-27 22:45:48 +05:30
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 Add support for constant_pad_nd 2022-01-11 10:25:25 -05:00
batchnorm.py [MLIR][TORCH] Add E2E support for `aten.native_layer_norm`. (#470) 2021-12-10 19:06:19 +05:30
constant_alloc.py [TORCH][MLIR] Add E2E support for `aten.[ones_like|zeros_like]` 2022-01-06 20:24:40 +05:30
conv.py Refine static shapes for conv2d and maxpool2d 2022-01-03 11:09:23 -06:00
elementwise.py Make broadcasting result shape more static 2022-01-06 18:39:27 -05:00
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.threshold, aten.threshold_backward op 2022-01-10 11:56:56 +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
threshold.py [MLIR][TORCH] Add E2E support for aten.threshold, aten.threshold_backward op 2022-01-10 11:56:56 +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 Add support for two return values 2022-01-11 11:07:10 +05:30