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3 Commits (f83a90585682c25367565fe8d612dd600e27ee04)

Author SHA1 Message Date
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