Method forward

wan/models/wan_vae.py:244–266

(self, x)

        nn.init.zeros_(self.proj.weight)

    def forward(self, x):
        identity = x
        b, c, t, h, w = x.size()
        x = rearrange(x, 'b c t h w -> (b t) c h w')
        x = self.norm(x)
        # compute query, key, value
        q, k, v = self.to_qkv(x).reshape(b * t, 1, c * 3,
                                         -1).permute(0, 1, 3,
                                                     2).contiguous().chunk(
                                                         3, dim=-1)

        # apply attention
        x = F.scaled_dot_product_attention(
            q,
            k,
            v,
        )
        x = x.squeeze(1).permute(0, 2, 1).reshape(b * t, c, h, w)

        # output
        x = self.proj(x)
        x = rearrange(x, '(b t) c h w-> b c t h w', t=t)
        return x + identity


class Encoder3d(nn.Module):