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
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__init__.py	ExtensibleTrainer work	2020-08-22 08:24:34 -06:00
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