Public Release

Implementation for Frechet Wavelet Distance in Pytorch.

What's Changed

• update norm and split function by @loki-veera in #1
• changes to master merge. by @v0lta in #2
• CelebA and MNIST compatible by @loki-veera in #3
• Multi GPU - Average gradients by @loki-veera in #4
• Merge CelebAHQ by @loki-veera in #5
• Celeba by @loki-veera in #6
• CelebAHQ Sampling and FID Computation by @loki-veera in #7
• Multigrad sampling by @loki-veera in #9
• Packet loss by @v0lta in #10
• Packformer by @v0lta in #11
• Packet energy by @v0lta in #12
• DDIM by @loki-veera in #13
• update permutation and some tests. by @v0lta in #17
• Kldivergence normed by @loki-veera in #19
• Wavelet frechet distance by @loki-veera in #18
• Cleanup by @loki-veera in #20
• Cleanup wavelet packet kldivergence by @loki-veera in #21
• Inception retrain by @v0lta in #22
• Wavelet frechet distance by @loki-veera in #24
• Make master branch master by @loki-veera in #25
• pip package. by @v0lta in #27

New Contributors

• @loki-veera made their first contribution in #1
• @v0lta made their first contribution in #2

Full Changelog: https://github.com/NeuralHPC/PyTorch-FWD/commits/v0.0.4