GitLab

* Adding prototype implementation of disco convolutions

* adding s2convolutions.py

* Somewhat functional first implementation in Triton

* Somewhat functional first implementation in Triton

* Made batched execution work on GPU and refactored precomputation of kernel values and supports.

* Adding the Lobatto grid to the grid selection method in quadrature

* fixing bug in triton kernel when iterating over non-zeros

* Updating with working custom triton implementation of DISCO convolution

* Merged both forward and backward DISCO contraction into a single kernel

* Some cleanup and minor bugfix

* bugfixes to the reference implementation

* adding weights to s2conv

* removing unnecessary imports

* suggestion for torch harmonics, math should be checked thoroughly

* Intermediate working reference implementation for the transpose DISCO convolution. Fixed normalization of kernels

* adjusting cutoff frequency in disco convolution

* fixing transpose DISCO contraction

* moving triton to install_requires

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Co-authored-by: Thorsten Kurth <tkurth@nvidia.com>

Major Cleanup of SFNO. Retiring non-linear architecture and fixing initialization. Adding scripts for training and validation.

* Updated Changelog

* improved readability of legendre.py

* bugfix in computation of dlegpoly

* Moving conversion from numpy to torch from the legendre module to the sht module

* renaming to vdm in tests.py

* fixing contig in distributed sht

* make it normally contiguous before all to all

* commented the code to be a WAR

* reworked SFNO example

* updated changelog

* Added gradient check to test suite
* reduced size of the unit test
* switched to parametrized for unittests

Without this fix, importing torch_harmonics had run into a module import error
when trying to execute:
```import examples```

Don't import sfno by default (or try/except importing apex)