Expose dim() on type and use it in ONNX symbolics (#15933)
Summary:
While integrating fork/join into production translation, we found that trying to export `transpose()` where the input is of `TensorType` (rather than `CompleteTensorType`) failed. This is not ideal, since `TensorType` still contains the number of dimensions of the tensor, and that's all the `transpose` symbolic needs.
This PR introduces a pybind binding for `dim()` on `TensorType` (and `CompleteTensorType` by inheritance). We now use this in places where it logically makes sense in the symbolics: those symbolics which only require knowledge of the number of dimensions rather than concrete sizes.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15933
Differential Revision: D13639657
Pulled By: jamesr66a
fbshipit-source-id: 6e50e407e93060085fd00a686a928764d0ec888d
