torch-mlir/frontends/pytorch/examples
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
..
__init__.py Add cos_e2e.py, test_utils and support for tensor inputs (#134) 2020-11-24 19:02:50 -08:00
cos_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
div_inplace_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
mm_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
mul_maximum_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
tanh_out_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
test_utils.py MILESTONE: TorchScript unary tanh runs on RefBackend 2021-04-07 11:06:34 -07:00
torchscript_mm_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
torchscript_tanh_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
torchscript_tanh_e2e_iree.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00