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Minor tweaks and quick fix #119

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Minor tweaks and quick fix #119

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2 changes: 2 additions & 0 deletions torchsummary/.idea/.gitignore
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11 changes: 4 additions & 7 deletions torchsummary/torchsummary.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,5 @@
import torch
import torch.nn as nn
from torch.autograd import Variable

from collections import OrderedDict
import numpy as np

Expand All @@ -10,13 +8,12 @@ def summary(model, input_size, batch_size=-1, device=torch.device('cuda:0'), dty
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):
if dtypes == None:
dtypes = [torch.FloatTensor]*len(input_size)
if dtypes is None:
dtypes = [torch.FloatTensor] * len(input_size)

summary_str = ''

Expand Down Expand Up @@ -46,8 +43,8 @@ def hook(module, input, output):
summary[m_key]["nb_params"] = params

if (
not isinstance(module, nn.Sequential)
and not isinstance(module, nn.ModuleList)
not isinstance(module, nn.Sequential)
and not isinstance(module, nn.ModuleList)
):
hooks.append(module.register_forward_hook(hook))

Expand Down