4f6fbdd4d9b57e334d2380aad13a5795c0ba0dcb,se3_cnn/non_linearities/scalar_activation.py,BiasRelu,forward,#BiasRelu#Any#,33

Before Change

            if on:
                x = x + self.bias[begin2:begin2 + d].view(1, -1, 1, 1, 1).expand_as(x)
                x = torch.nn.functional.relu(x)
                if self.normalize:
                    x.sub_(0.3989422804014327)
                    x.mul_(1.712858550449663)
                begin2 += d

After Change

            x = input[:, begin1:begin1 + d]

            if on:
                if self.bias is not None:
                    x = x + self.bias[begin2:begin2 + d].view(1, -1, 1, 1, 1)
                    begin2 += d

                x = self.activation(x)

            xs.append(x)

Instances