def forward()

in models/vertex_unet.py [0:0]


    def forward(self, geom: th.Tensor, expression_encoding: th.Tensor):
        """
        :param geom: B x T x n_vertices x 3 Tensor containing template face meshes
        :param expression_encoding: B x T x heads x classes Tensor containing one hot expression encodings
        :return: geom: B x T x n_vertices x 3 Tensor containing predicted face meshes
        """
        x = (geom - self.mean) / self.stddev
        x = x.view(x.shape[0], x.shape[1], self.n_vertices*3)

        geom_encoding, skips = self._encode(x)
        x = self._fuse(geom_encoding, expression_encoding)
        x = self._decode(x, skips)

        x = x.view(x.shape[0], x.shape[1], self.n_vertices, 3)
        geom = x * self.stddev + self.mean
        return {"geom": geom}