def _embed_low_res()

in point_e/models/transformer.py [0:0]


    def _embed_low_res(self, x: torch.Tensor) -> torch.Tensor:
        if self.channel_scales is not None:
            x = x * self.channel_scales[None, :, None]
        if self.channel_biases is not None:
            x = x + self.channel_biases[None, :, None]
        return self.cond_point_proj(x.permute(0, 2, 1))