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torch-mlir/frontends/pytorch/e2e_testing/torchscript
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Sean Silva d5108b9dc1 Add IREE support in TorchScript e2e tests. 
- Add support for "expected failures" in test reporting. The new error
  reports look like
  [this](https://gist.github.com/silvasean/6ffd95e1d55302b699673da201da210d).
  - We will now be able to put these tests into CI, since the harness
    understand which tests are expected to pass and fail.
- Refactor RefBackendTestConfig to NpcompBackendTestConfig which
  supports both RefBackend and IREE.
- Add instructions for installing IREE dependencies (both from packages
  and for local builds of IREE)
- Add `tools/torchscript_e2e_test.sh` for invoking the e2e test
  harness (this makes invoking a bit easier, as it doesn't rely on a
  loose Python invocation).
 		2021-06-30 16:19:25 -07:00
..
basic.py Generalize support for elementwise ops. 2021-06-28 13:28:38 -07:00
batchnorm.py Add torch.aten.batch_norm Linalg lowering support 2021-06-22 16:45:21 -07:00
elementwise.py Generalize support for elementwise ops. 2021-06-28 13:28:38 -07:00
main.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
mlp.py Introduce `!torch.tensor` / `!torch.vtensor` types. 2021-06-10 10:56:48 -07:00
quantized_models.py Introduce `!torch.tensor` / `!torch.vtensor` types. 2021-06-10 10:56:48 -07:00
vision_models.py Introduce `!torch.tensor` / `!torch.vtensor` types. 2021-06-10 10:56:48 -07:00
xfail_sets.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00