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Updated_model.py #1

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12 changes: 6 additions & 6 deletions model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,9 @@ def __init__(self, features, path=None):
super(Darknet, self).__init__()
self.features = features
self.classifier = nn.Sequential(
nn.Linear(1024 * S * S, 4096),
nn.LazyLinear(4096,bias=True),
nn.LeakyReLU(0.1),
nn.Linear(4096, S * S * (B * 5 + C)),
nn.LazyLinear(S * S * (B * 5 + C),bias=True),
)

if path is None:
Expand Down Expand Up @@ -81,11 +81,11 @@ def make_layers(cfg):
layers += [nn.MaxPool2d(kernel_size=2, stride=2)]
elif isinstance(v, tuple):
if len(v) == 3:
# Conv (kernel_size, out_channels, stride)
layers += [nn.Conv2d(in_channels, out_channels=v[1], kernel_size=v[0], stride=2)]
# LazyConv (out_channels,kernel,stride)
layers += [nn.LazyConv2d(out_channels=v[1], kernel_size=v[0], stride=2)]
else:
# Conv (kernel_size, out_channels)
layers += [nn.Conv2d(in_channels, out_channels=v[1], kernel_size=v[0])]
# LazyConv (out_channels,kernel)
layers += [nn.LazyConv2d(out_channels=v[1], kernel_size=v[0])]
layers += [nn.BatchNorm2d(num_features=v[1])] # BN
print('[new] BN is added.')

Expand Down