GitLab

* [Vae and AutoencoderKL clean]

* save intermediate finished work

* more progress

* more progress

* finish modeling code

* save intermediate

* finish

* Correct tests

disable test_ddpm_ddim_equality_batched

* Add torch_device to the VE pipeline

* Mark the training test with slow

final fixes before release

* work in progress, fixing tests for numpy and make deterministic

* make tests pass via pytorch

* make pytorch == numpy test cleaner

* change default tensor format pndm --> pt

up

* up

* change model name

* renaming

* more changes

* up

* up

* up

* save checkpoint

* finish api / naming

* finish config renaming

* rename all weights

* finish really

* organize PNDM tests, begin API change

* clean timestep API PNDM

* update pipeline PNDM

* fix typo

* API clean round 2

* small nit

* Add a decorator for register_to_config

* All models and test

* big purge

* more fixes

* finish for now

* clean ddpm api to match ddim

* correct ve sde class

* update pipeline API for ve sde

* make style

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* upload

* make checkpoint work

* finalize

* DDPM

* Fixes

* Edit tests

* improve comments for sde_ve scheduler, init tests

* more comments, tweaking pipelines

* timesteps --> num_training_timesteps, some comments

* merge cpu test, add m1 data

* fix scheduler tests with num_train_timesteps

* make np compatible, add tests for sde ve

* minor default variable fixes

* make style and fix-copies
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* up

* more

* uP

* make dummy test pass

* save intermediate

* p

* p

* finish

* finish

* finish

* finish

* up

* up

* finish

* uP

* save intermediate

* up

* up

* up

* finished clean up

* remove @

* uP

* finish downsampling layers

* finish major refactor

* remove bugus file