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Reduce GPU usage by emptying cache #31

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Reduce GPU usage by emptying cache #31

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9 changes: 6 additions & 3 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -380,23 +380,26 @@ def train(args, loader, generator, discriminator, g_optim, d_optim, g_ema, devic

if args.ckpt is not None:
print('load model:', args.ckpt)

ckpt = torch.load(args.ckpt)

try:
ckpt_name = os.path.basename(args.ckpt)
args.start_iter = int(os.path.splitext(ckpt_name)[0])

except ValueError:
pass

generator.load_state_dict(ckpt['g'])
discriminator.load_state_dict(ckpt['d'])
g_ema.load_state_dict(ckpt['g_ema'])

g_optim.load_state_dict(ckpt['g_optim'])
d_optim.load_state_dict(ckpt['d_optim'])

del ckpt
torch.cuda.empty_cache()

if args.distributed:
generator = nn.parallel.DistributedDataParallel(
generator,
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