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>

* Adding notebooks for gradient analysis

* Updated the Readme

* Refactored training script for sfno

* removing concatanated skip connections

* Added some logic for initializing weights adaptively

* Cleanup and fixing initialization in SFNO. Removing non-linear variant of SFNO

* Updated initialization scheme for SFNO

* Some more cleanup in SFNO

* updated the SFNO architecture

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

* Adding notebooks for gradient analysis

* Updated the Readme

* Adding plotting routines and reworked Readme

* Added illustration of spherical harmonics to Readme

* reworked SFNO example

* updated changelog