C++/Python API parity for Conv{1,2,3}d layers, and add F::conv{1,2,3}d functionals (#28917)
Summary:
This PR changes the implementation of C++ Conv{1,2,3}d layers to exactly match the Python version, and add F::conv{1,2,3}d functionals. For more thorough testing, I will rely on the parity test mechanism which uses values from `common_nn.py` to generate the inputs and options that we are interested in testing.
This PR is BC-breaking in the following way:
In `Conv{1,2,3}dOptions`:
- `with_bias` is renamed to `bias`.
- `input_channels` is renamed to `in_channels`.
- `output_channels` is renamed to `out_channels`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28917
Differential Revision: D18471526
Pulled By: yf225
fbshipit-source-id: 7a33f60654ad93cc2e043245e7ff9e0ef9da15b3
