Torch-harmonics

* Added resampling modules for convenience
* Changing behavior of distributed SHT to use `dim=-3` as channel dimension
* Fixing SHT unittests to test SHT and ISHT individually, rather than the roundtrip
* Changing the way custom CUDA extensions are handled

* Hotfix to AMP in SFNO example

* CUDA-accelerated DISCO convolutions
* Updated DISCO convolutions to support even number of collocation points across the diameter
* Distributed DISCO convolutions
* Fused quadrature into multiplication with the Psi tensor to lower memory footprint
* Removed DISCO convolution in the plane to focus on the sphere
* Updated unit tests which now include tests for the distributed convolutions

* Discrete-continuous (DISCO) convolutions on the sphere and in two dimensions
* DISCO supports isotropic and anisotropic kernel functions parameterized as hat functions
* Supports regular and transpose convolutions
* Accelerated spherical DISCO convolutions on GPU via Triton implementation
* Unittests for DISCO convolutions in `tests/test_convolution.py`

* Reworking distributed to allow for uneven split tensors, effectively removing the necessity of padding the transformed tensors
* Distributed SHT tests are now using unittest. Test extended to vector SHT versions
* Tests are defined in `torch_harmonics/distributed/distributed_tests.py`
* Base pytorch container version bumped up to 23.11 in Dockerfile

* Adding gradient check in unit tests
* Temporary work-around for NCCL contiguous issues with distributed SHT
* Refactored examples and documentation
* Updated SFNO example