James Betker fb595e72a4 Supporting infrastructure in ExtensibleTrainer to train spsr4 ... Need to be able to train 2 nets in one step: the backbone will be entirely separate with its own optimizer (for an extremely low LR). This functionality was already present, just not implemented correctly.		2020-09-11 22:57:06 -06:00
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archs	SPSR4	2020-09-11 22:55:37 -06:00
steps	Supporting infrastructure in ExtensibleTrainer to train spsr4	2020-09-11 22:57:06 -06:00
__init__.py	ExtensibleTrainer work	2020-08-22 08:24:34 -06:00
base_model.py	Fix multistep optimizer (feeding from wrong config params)	2020-08-04 16:42:58 -06:00
ExtensibleTrainer.py	More spsr3 mods	2020-09-09 16:46:38 -06:00
feature_model.py	Feature mode -> back to LR fea	2020-09-11 13:09:55 -06:00
loss.py	Update loss with lr crossgan	2020-08-26 17:57:22 -06:00
lr_scheduler.py	Extensible trainer (in progress)	2020-08-12 08:45:23 -06:00
networks.py	SPSR4	2020-09-11 22:55:37 -06:00
novograd.py	Add novograd optimizer	2020-09-06 17:27:08 -06:00
SR_model.py	Allow validating in batches, remove val size limit	2020-06-02 08:41:22 -06:00
SRGAN_model.py	Fix SRGAN_model/fullimgdataset compatibility 1	2020-09-08 11:34:35 -06:00