Method forward

lingbot_map/layers/patch_embed.py:65–78

(self, x: Tensor)

        self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity()

    def forward(self, x: Tensor) -> Tensor:
        _, _, H, W = x.shape
        patch_H, patch_W = self.patch_size

        assert H % patch_H == 0, f"Input image height {H} is not a multiple of patch height {patch_H}"
        assert W % patch_W == 0, f"Input image width {W} is not a multiple of patch width: {patch_W}"

        x = self.proj(x)  # B C H W
        H, W = x.size(2), x.size(3)
        x = x.flatten(2).transpose(1, 2)  # B HW C
        x = self.norm(x)
        if not self.flatten_embedding:
            x = x.reshape(-1, H, W, self.embed_dim)  # B H W C
        return x

    def flops(self) -> float:
        Ho, Wo = self.patches_resolution