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Remove data parallelism

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Prajwal 2020-09-15 19:58:44 +05:30 committed by GitHub
parent b3a417f48e
commit d7259e531b
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1 changed files with 2 additions and 4 deletions
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6
color_syncnet_train.py
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@ -137,11 +137,9 @@ def cosine_loss(a, v, y):
return loss return loss
def train(device, model_single, train_data_loader, test_data_loader, optimizer, def train(device, model, train_data_loader, test_data_loader, optimizer,
checkpoint_dir=None, checkpoint_interval=None, nepochs=None): checkpoint_dir=None, checkpoint_interval=None, nepochs=None):
model = nn.DataParallel(model_single)
global global_step, global_epoch global global_step, global_epoch
resumed_step = global_step resumed_step = global_step
@ -170,7 +168,7 @@ def train(device, model_single, train_data_loader, test_data_loader, optimizer,
if global_step == 1 or global_step % checkpoint_interval == 0: if global_step == 1 or global_step % checkpoint_interval == 0:
save_checkpoint( save_checkpoint(
model_single, optimizer, global_step, checkpoint_dir, global_epoch) model, optimizer, global_step, checkpoint_dir, global_epoch)
if global_step % hparams.syncnet_eval_interval == 0: if global_step % hparams.syncnet_eval_interval == 0:
with torch.no_grad(): with torch.no_grad():