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Warmup on uneven last-batch-size in validate.py #2243

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Warmup on uneven last-batch-size in validate.py #2243

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14 changes: 9 additions & 5 deletions validate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -314,11 +314,15 @@ def validate(args):
model.eval()
with torch.no_grad():
# warmup, reduce variability of first batch time, especially for comparing torchscript vs non
input = torch.randn((args.batch_size,) + tuple(data_config['input_size'])).to(device)
if args.channels_last:
input = input.contiguous(memory_format=torch.channels_last)
with amp_autocast():
model(input)
inputs = [torch.randn((args.batch_size,) + tuple(data_config['input_size'])).to(device)]
last_batch_size = len(dataset) % args.batch_size
if last_batch_size:
inputs.append(torch.randn((last_batch_size,) + tuple(data_config['input_size'])).to(device))
for inp in inputs:
if args.channels_last:
inp = inp.contiguous(memory_format=torch.channels_last)
with amp_autocast():
model(inp)

end = time.time()
for batch_idx, (input, target) in enumerate(loader):
Expand Down