(self, hidden_size, patch_size, out_channels)
| 237 | The final layer of DiT. |
| 238 | """ |
| 239 | def __init__(self, hidden_size, patch_size, out_channels): |
| 240 | super().__init__() |
| 241 | self.norm_final = nn.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6) |
| 242 | self.linear = nn.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True) |
| 243 | self.adaLN_modulation = nn.Sequential( |
| 244 | nn.SiLU(), |
| 245 | nn.Linear(hidden_size, 2 * hidden_size, bias=True) |
| 246 | ) |
| 247 | |
| 248 | def forward(self, x, c): |
| 249 | shift, scale = self.adaLN_modulation(c).chunk(2, dim=1) |