Commit Graph

5 Commits (e16b43e20b770ebbdfb536ff539bec8847537b59)

Author SHA1 Message Date
Sean Silva e16b43e20b Remove "torchscript" association from the e2e framework.
We use it for more than TorchScript testing now. This is a purely
mechanical change to adjust some file paths to remove "torchscript".

The most perceptible change here is that now e2e tests are run with

```
./tools/e2e_test.sh
instead of:
./tools/torchscript_e2e_test.sh
```
2022-08-29 14:10:03 -07:00
Sean Silva 01290d134a Add a way for backends to control which ops are legal for them.
We were already hitting many cases where backends different in terms of
the legal ops that they wanted. This caused unnecessary coupling between
the backends. Examples:
- https://github.com/llvm/torch-mlir/pull/1161
- https://github.com/llvm/torch-mlir/pull/862

This PR centralizes all compilation to go through `torch_mlir.compile`
so that we can keep the logic centralized there. We should move these
lists closer to each backend. Especially cases like
https://github.com/llvm/torch-mlir/pull/862 where blocking a
decomposition is necessary to avoid a crash emphasize that the set of
decompositions is tightly coupled to the backend, and should be
"controlled by the backend" and not something arbitrarily tweakable.

Also:
- Fix a small bug in the way we passed through the backendLegalOps
  option.
- Add better error messages in `torch_mlir.compile` for import errors.
2022-08-22 14:16:13 -07:00
Sean Silva 075464fa74 Add a new `torch_mlir.compile` method.
This makes it much easier to convert models and hides all the
ClassAnnotator complexity.

This also adds a new example `torchscript_resnet18_all_output_types.py`
which shows the ResNet18 IR for all output types.

Also,

- This moves `run_pipeline_with_repro_report` to
  `torch_mlir.compiler_utils`.
2022-04-20 10:06:01 -07:00
Yi Zhang e09e2cbe70 Include IR dump options on e2e failure report 2022-02-09 11:19:34 -05:00
Sean Silva 19e9fc4ef1 Bring some more order to the e2e error reporting situation.
- Move `run_pipeline_with_repro_report` to a more common place, and use it
  consistently
- Attach a `torch.debug_module_name` to the enclosing `builtin.module`
  op to allow for self-contained error reporting (not needing to pass
  the names around.
- Remove redundant error reporting in linalg_on_tensors_backend.py and
  tosa_backend.py (their respective backend abstract base classes now
  take care of the error reports themselves)
- Save off original value of sys.stderr, rather than always resetting to
  `sys.__stderr__`. This is just more hygienic, and allows nesting if
  desired.
2021-10-08 13:00:12 -07:00