James Betker fba29d7dcc Move to apex distributeddataparallel and add switch all_reduce ... Torch's distributed_data_parallel is missing "delay_allreduce", which is necessary to get gradient checkpointing to work with recurrent models.		2020-10-08 11:20:05 -06:00
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archs	Move to apex distributeddataparallel and add switch all_reduce	2020-10-08 11:20:05 -06:00
experiments	Add in experiments hook	2020-09-19 10:05:25 -06:00
flownet2@2e9e010c98	Integrate flownet2 into codebase, add teco visual debugs	2020-10-06 20:35:39 -06:00
layers	Add ImageFlowInjector	2020-09-19 10:07:00 -06:00
steps	Allow tecogan to support generators that only output a tensor (instead of a list)	2020-10-08 09:26:25 -06:00
__init__.py	ExtensibleTrainer work	2020-08-22 08:24:34 -06:00
base_model.py	Move to apex distributeddataparallel and add switch all_reduce	2020-10-08 11:20:05 -06:00
ExtensibleTrainer.py	Move to apex distributeddataparallel and add switch all_reduce	2020-10-08 11:20:05 -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	Tecogan work	2020-10-07 09:03:30 -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 up fea_loss calculator (for validation)	2020-10-03 11:19:20 -06:00