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torch-mlir/e2e_testing/torchscript
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Ramiro Leal-Cavazos c1167853db
Fix error in RefineTypes for constant alloc ops (#579) 
This commit fixes an error in the refine types pass of constant
allocation ops. The function used to set the dtype,
`fillInDtypeGivenDtypeAndDataType`, takes two torch types as arguments,
but a torch type and a standard MLIR type were being passed into it.

This commit also fixes the way the dtype was calculated in
`visitAtenToDtypeOp`. This op was also passing a standard MLIR type as
an argument to the `fillInDtypeGivenDtypeAndDataType`
function. Moreover, since the op `aten.to.dtype` has the dtype
argument as not optional, all that is needed is to match
against the int value to extract the dtype.
 		2022-02-10 18:02:18 -08:00
..
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 decomposition of _log_softmax op. 2022-02-10 23:17:26 +05:30
constant_alloc.py Fix error in RefineTypes for constant alloc ops (#579) 2022-02-10 18:02:18 -08:00
conv.py Refine static shapes for conv2d and maxpool2d 2022-01-03 11:09:23 -06:00
elementwise.py [TORCH][MLIR] Add E2E support for aten.clone (#571) 2022-02-09 19:31:03 -08:00
histogram_binning_calibration.py Adding an e2e test for histogram binning calibration 2022-01-25 18:27:20 -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 [TORCH][MLIR] Add E2E support for `aten.native_batch_norm` op 2022-02-08 02:54:03 +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_backward op 2022-02-04 21:57:53 +05:30
norm_like.py [TORCH][MLIR] Add E2E support for `aten.native_batch_norm` op 2022-02-08 02:54:03 +05:30
quantized_models.py Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00
reduction.py Modify softmax decomposition to be more numerically stable. 2022-02-03 21:20:36 +05:30
reshape_like.py [TORCH][MLIR] Add E2E support for `aten._unsafe_view` op. 2022-02-10 22:28:58 +05:30
rng.py Add aten.bernoulli decomposition. 2022-02-11 00:35:33 +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
table_batch_embedding.py [TBE] Add a test module for table batch embedding 2022-01-28 02:24:28 +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 Convert bool to float or integer type. 2022-02-07 21:22:22 +05:30
type_promotion.py Add scalar type promotion for mul and div (#454) 2021-12-03 13:51:25 -06:00
vision_models.py Add mobilenetv2 and mobilenetv3 to e2e test 2022-02-10 19:45:32 -05:00
xfail_sets.py Add mobilenetv2 and mobilenetv3 to e2e test 2022-02-10 19:45:32 -05:00