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d976df49c5
**TL;DR**: This PR fixes handling for lazy modules where `cls_to_become is None`. In those cases, we should leave the type of the lazy module as the old value.
**Details**:
Lazy modules are intended to be initialized at execution; some of them are also supposed to switch to a different type after they have been initialized. However, not all are supposed to switch; see this logic from `nn/modules/lazy.py`
```python
def _infer_parameters(self, ...):
...
if module.cls_to_become is not None:
module.__class__ = module.cls_to_become
```
i.e., we should leave the module type as the old value if `module.cls_to_become is None`. This PR updates dynamo's handling to match this behavior.
Test `test_lazy_module_no_cls_to_become` added to `test/dynamo/test_module.py`.
Differential Revision: [D45253698](https://our.internmc.facebook.com/intern/diff/D45253698)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/99943
Approved by: https://github.com/jansel
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| .. | ||
| __init__.py | ||
| base.py | ||
| builder.py | ||
| builtin.py | ||
| constant.py | ||
| ctx_manager.py | ||
| dicts.py | ||
| functions.py | ||
| lists.py | ||
| misc.py | ||
| nn_module.py | ||
| tensor.py | ||
| torch.py | ||
| user_defined.py | ||