Add more model symbolic tracing tests from torchvision (#55744)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/55398
Generates tests that calls `symbolic_trace` on torchvision models and verifies the parity of outputs from eager model, `fx.GraphModule`, `jit.ScriptModule`.
Test errors: GoogleNet and Inception models throw a type mismatch when scripting the traced `fx.GraphModule`.
```
Return value was annotated as having type __torch__.torchvision.models.googlenet.GoogLeNetOutputs but is actually of type Tensor:
dropout = self.dropout(flatten); flatten = None
fc = self.fc(dropout); dropout = None
return fc
~~~~~~~~~ <--- HERE
```
Relevant type-inconsistency https://github.com/pytorch/vision/blob/512ea299d4b2d2bbac3498a75a2d8c0190cfcb39/torchvision/models/googlenet.py#L200
```
torch.jit.unused
def eager_outputs(self, x: Tensor, aux2: Tensor, aux1: Optional[Tensor]) -> GoogLeNetOutputs:
if self.training and self.aux_logits:
return _GoogLeNetOutputs(x, aux2, aux1)
else:
return x # type: ignore[return-value]
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/55744
Reviewed By: albanD
Differential Revision: D27920595
Pulled By: suraj813
fbshipit-source-id: 01f6f2aef7badbde29b5162a7787b5af9398090d
