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Fix torch multi-GPU --device error #1701

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merged 2 commits into from
Dec 16, 2020
Merged

Fix torch multi-GPU --device error #1701

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2750fe7
Fix torch GPU error
NanoCode012 Dec 16, 2020
b9ba46a
Update torch_utils.py
glenn-jocher Dec 16, 2020
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Fix torch GPU error
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@NanoCode012
NanoCode012 committed Dec 16, 2020
commit 2750fe7f709a16e5e19a8ba869afe735d1e66cb2
6 changes: 4 additions & 2 deletions utils/torch_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,13 +75,15 @@ def time_synchronized():
return time.time()


def profile(x, ops, n=100, device=torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')):
def profile(x, ops, n=100, device=None):
# profile a pytorch module or list of modules. Example usage:
# x = torch.randn(16, 3, 640, 640) # input
# m1 = lambda x: x * torch.sigmoid(x)
# m2 = nn.SiLU()
# profile(x, [m1, m2], n=100) # profile speed over 100 iterations

if device is None:
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')

x = x.to(device)
x.requires_grad = True
print(torch.__version__, device.type, torch.cuda.get_device_properties(0) if device.type == 'cuda' else '')
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