[Dynamo] No graph break for super(MyConv{1/2/3}d, self).forward and super(MyConvTranspose, self).forward (#102509)
before the PR, running super(MyConv1d, self).forward or super(MyConvTranspose, self).foward, dynamo will create a graph break when executing NNModuleVariable.call_method and raise unimplemented error for name=_conv_forward / _output_padding. see issue for full detail: https://github.com/pytorch/pytorch/issues/101155
after the PR, for torch.nn.conv module with function name _conv_forward / _output_padding, we inline the function with tx.inline_user_function_return
code refactor: added NNModuleVariable._inline_user_function_return_helper to consolidaste tx.inline_user_function_return into 1 place to keep code dry. after factor, there are 2 uncolidated inline_user_function_return with different ```fn``` and ```source``` logic. the code is still dry. For local testing, they are covered by test_modulelist, test_moduledict, test_conv_call_super_forward_directly and test_conv_transpose_call_super_forward_directly in test_modules.py
Differential Revision: [D46494460](https://our.internmc.facebook.com/intern/diff/D46494460)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/102509
Approved by: https://github.com/yanboliang
