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1 parent 6cd28bc commit 6862c98Copy full SHA for 6862c98
timm/models/hgnet.py
@@ -23,8 +23,8 @@ def __init__(self,
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scale_value=1.0,
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bias_value=0.0):
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super().__init__()
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- self.scale = nn.Parameter(torch.tensor([scale_value]))
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- self.bias = nn.Parameter(torch.tensor([bias_value]))
+ self.scale = nn.Parameter(torch.tensor([scale_value]), requires_grad=True)
+ self.bias = nn.Parameter(torch.tensor([bias_value]), requires_grad=True)
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def forward(self, x):
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return self.scale * x + self.bias
@@ -262,7 +262,7 @@ def forward(self, x):
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x = torch.cat(output, dim=1)
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x = self.aggregation(x)
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if self.residual:
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- x += identity
+ x = x + identity
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return x
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