def forward()

in simsiam/builder.py [0:0]


    def forward(self, x1, x2):
        """
        Input:
            x1: first views of images
            x2: second views of images
        Output:
            p1, p2, z1, z2: predictors and targets of the network
            See Sec. 3 of https://arxiv.org/abs/2011.10566 for detailed notations
        """

        # compute features for one view
        z1 = self.encoder(x1) # NxC
        z2 = self.encoder(x2) # NxC

        p1 = self.predictor(z1) # NxC
        p2 = self.predictor(z2) # NxC

        return p1, p2, z1.detach(), z2.detach()