DL-Art-School/codes/models/steps
James Betker 43c4f92123 Collapse progressive zoom candidates into the batch dimension
This contributes a significant speedup to training this type of network
since losses can operate on the entire prediction spectrum at once.
2020-10-21 22:37:23 -06:00
..
__init__.py
injectors.py Add FFT injector 2020-10-21 22:22:00 -06:00
losses.py Enable ExtensibleTrainer to skip steps when state keys are missing 2020-10-21 22:22:28 -06:00
progressive_zoom.py Collapse progressive zoom candidates into the batch dimension 2020-10-21 22:37:23 -06:00
steps.py Codebase cleanup 2020-10-13 20:56:39 -06:00
tecogan_losses.py Cleanup fixes 2020-10-15 10:13:17 -06:00