onnxruntime/orttraining
Rui Ren 4c3e350a6a
fix ORTModuleONNXModelException fallback OOM (#15523)
### Description
<!-- Describe your changes. -->
### Error 
```
RuntimeError: There was an error while exporting the PyTorch model to ONNX:-

Traceback (most recent call last):
  File "/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/training/ortmodule/_utils.py", line 254, in get_exception_as_string
    raise exception
  File "/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/training/ortmodule/_graph_execution_manager.py", line 385, in _get_exported_model
    torch.onnx.export(self._flattened_module,
  File "/opt/conda/envs/ptca/lib/python3.8/site-packages/torch/onnx/__init__.py", line 305, in export
    return utils.export(model, args, f, export_params, verbose, training,
  File "/opt/conda/envs/ptca/lib/python3.8/site-packages/torch/onnx/utils.py", line 118, in export
    _export(model, args, f, export_params, verbose, training, input_names, output_names,
  File "/opt/conda/envs/ptca/lib/python3.8/site-packages/torch/onnx/utils.py", line 743, in _export
    proto, export_map, val_use_external_data_format = graph._export_onnx(
RuntimeError: ONNX export failed: Couldn't export Python operator XDropout
```
The error leads to Out of Memory issue, because the log.txt file is **26
GB**.


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
The root cause is that in each `_forward`
```
      if log_level <= _logger.LogLevel.WARNING and not self._raised_ORTModuleONNXModelException:
          warnings.warn(
              (
                  f"Fallback to PyTorch due to exception {type(self._exception)} was triggered. "
                  "Report this issue with a minimal repro at https://www.github.com/microsoft/onnxruntime. "
                  f"See details below:\n\n{_utils.get_exception_as_string(self._exception)}"
              ),
              UserWarning,
          )
```


above code will be called and log the `exception` through
`get_exception_as_string`,

In my training case, this will lead to 40 k times of `Traceback` stdout
and 110 millions lines of `onnx graph` output and run into OOM.

### Validation

After above fixes, the log.txt file will only be **2.4 MB**.

---------

Co-authored-by: ruiren <ruiren@microsoft.com>
2023-04-25 15:10:31 -07:00
..
orttraining fix ORTModuleONNXModelException fallback OOM (#15523) 2023-04-25 15:10:31 -07:00
pytorch_frontend_examples Enable pylint and numpy rules (#15218) 2023-03-27 20:37:53 -07:00
tools Bump ruff in CI (#15533) 2023-04-17 10:11:44 -07:00