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feat: Default device is set to model device #117

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feat: Default device is set to model device #117

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10 changes: 7 additions & 3 deletions torchsummary/torchsummary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,15 +6,19 @@
import numpy as np


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

# Take the device of the first model parameter
device = next(model.parameters()).device

if dtypes == None:
dtypes = [torch.FloatTensor]*len(input_size)

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