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torch-mlir/frontends/pytorch/e2e_testing/torchscript
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Sean Silva f71845ea75 Triage e2e IREE failures for npcetest. 
ResNet works with static shapes. (our test is not static though).

All tests blocked on https://github.com/google/iree/issues/6629
 		2021-08-05 12:14:58 -07:00
..
basic.py Add torch.aten.flatten.using_ints and aten.MaxPool2d linalg lowering 2021-08-04 12:00:43 -04:00
batchnorm.py Add E2E support for tests with heavy dependencies (heavydep tests). 2021-08-03 14:09:56 -07:00
conv.py Add torch.aten.flatten.using_ints and aten.MaxPool2d linalg lowering 2021-08-04 12:00:43 -04:00
elementwise.py Add torch.aten.flatten.using_ints and aten.MaxPool2d linalg lowering 2021-08-04 12:00:43 -04:00
main.py Triage e2e IREE failures for npcetest. 2021-08-05 12:14:58 -07:00
mlp.py Add E2E support for tests with heavy dependencies (heavydep tests). 2021-08-03 14:09:56 -07:00
quantized_models.py Add E2E support for tests with heavy dependencies (heavydep tests). 2021-08-03 14:09:56 -07:00
vision_models.py Add E2E support for tests with heavy dependencies (heavydep tests). 2021-08-03 14:09:56 -07:00
xfail_sets.py Triage e2e IREE failures for npcetest. 2021-08-05 12:14:58 -07:00