Fix hardcoded input dim in DiffusionModelEncoder

Signed-off-by: IamTingTing <[email protected]>

Author: IamTingTing

monai/networks/nets/diffusion_model_unet.py

@@ -2005,7 +2005,7 @@ def __init__(
 
             self.down_blocks.append(down_block)
 
-        self.out = nn.Sequential(nn.Linear(4096, 512), nn.ReLU(), nn.Dropout(0.1), nn.Linear(512, self.out_channels))
+        self.out = None
 
     def forward(
         self,
@@ -2048,6 +2048,12 @@ def forward(
             h, _ = downsample_block(hidden_states=h, temb=emb, context=context)
 
         h = h.reshape(h.shape[0], -1)
+
+        # 5. out
+        if self.out is None:
+            self.out = nn.Sequential(
+                nn.Linear(h.shape[1], 512), nn.ReLU(), nn.Dropout(0.1), nn.Linear(512, self.out_channels)
+            )
         output: torch.Tensor = self.out(h)
 
         return output