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@ -201,8 +201,7 @@ class Darknet(nn.Module):
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x = torch.cat([layer_outputs[i] for i in layer_i], 1)
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x = torch.cat([layer_outputs[i] for i in layer_i], 1)
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# print(''), [print(layer_outputs[i].shape) for i in layer_i], print(x.shape)
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# print(''), [print(layer_outputs[i].shape) for i in layer_i], print(x.shape)
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elif mtype == 'shortcut':
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elif mtype == 'shortcut':
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layer_i = int(mdef['from'])
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x += layer_outputs[int(mdef['from'])]
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x = layer_outputs[-1] + layer_outputs[layer_i]
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elif mtype == 'yolo':
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elif mtype == 'yolo':
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x = module(x, img_size)
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x = module(x, img_size)
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output.append(x)
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output.append(x)
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