bbaf9028c1945cd6cba2b8582e77391dc9936aac,models/FlowNetS.py,FlowNetS,forward,#FlowNetS#,79

Before Change

        concat4 = torch.cat((out_conv4,out_deconv4,flow5_up),1)
        flow4       = self.predict_flow4(concat4)
        flow4_up    = self.upsampled_flow4_to_3(flow4)
        out_deconv3 = self.deconv3(concat4)

        concat3 = torch.cat((out_conv3,out_deconv3,flow4_up),1)
        flow3       = self.predict_flow3(concat3)
        flow3_up    = self.upsampled_flow3_to_2(flow3)
        out_deconv2 = self.deconv2(concat3)

        concat2 = torch.cat((out_conv2,out_deconv2,flow3_up),1)
        flow2 = self.predict_flow2(concat2)

        if self.training:

After Change

        concat4 = torch.cat((out_conv4,out_deconv4,flow5_up),1)
        flow4       = self.predict_flow4(concat4)
        flow4_up    = crop_like(self.upsampled_flow4_to_3(flow4), out_conv3)
        out_deconv3 = crop_like(self.deconv3(concat4), out_conv3)

        concat3 = torch.cat((out_conv3,out_deconv3,flow4_up),1)
        flow3       = self.predict_flow3(concat3)
        flow3_up    = crop_like(self.upsampled_flow3_to_2(flow3), out_conv2)
        out_deconv2 = crop_like(self.deconv2(concat3), out_conv2)

        concat2 = torch.cat((out_conv2,out_deconv2,flow3_up),1)
        flow2 = self.predict_flow2(concat2)

        if self.training:

Instances