[export] Fix lift constants bug #157719
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[export] Fix lift constants bug #157719
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angelayi
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/157719
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit ff0dc4f with merge base 9e5f4a8 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Previous to this PR, torch.onnx.export(..., dynamo=True, veriy=True, report=True) does not support symbolic arguments. Such examples are like follwing:
```python
class M(torch.nn.Module):
def forward(self, a, x):
return a + torch.tensor(1) + x
op = torch.onnx.export(M(), (1, torch.ones(2)),
dynamic_shapes=(torch.export.Dim.DYNAMIC, {0: torch.export.Dim.DYNAMIC}),
dynamo=True, report=True)
```
symbolic arguments are like constant arguments that they don't have tensor_meta wither. Besides, torch.export.export supports model inputs having constants, which is different from the legacy issue: #99534 where we tried to get the FX directly from dynamo export. Thus, `_remove_non_tensor` is deleted from args processing.
NOTE: If the ConstantArugment shows up in exported_program, it was kept to align the length of inputs to nn.Module, but it's irrelevant to the model graph, hwich is why in ONNX model the input is omitted.
The test `test_constant_argument_user_input_is_omitted_in_onnx_graph` needs #157719
Pull Request resolved: #157734
Approved by: https://github.com/justinchuby
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Fixes #ISSUE_NUMBER