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Use GPU only when available else default to CPU #114

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5 changes: 3 additions & 2 deletions torchsummary/torchsummary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,16 +5,17 @@
from collections import OrderedDict
import numpy as np

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

def summary(model, input_size, batch_size=-1, device=torch.device('cuda:0'), dtypes=None):
def summary(model, input_size, batch_size=-1, device=device, dtypes=None):
result, params_info = summary_string(
model, input_size, batch_size, device, dtypes)
print(result)

return params_info


def summary_string(model, input_size, batch_size=-1, device=torch.device('cuda:0'), dtypes=None):
def summary_string(model, input_size, batch_size=-1, device=device, dtypes=None):
if dtypes == None:
dtypes = [torch.FloatTensor]*len(input_size)

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