Repository: huggingface/transformers
Pull request: enable d_fine finetuning properly

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@qubvel as you suggested I have changed with very minimal code. Also seperated PR!

https://github.com/huggingface/transformers/pull/37952


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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
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- flax: @gante and @Rocketknight1
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Changed files:
filename: src/transformers/models/d_fine/modeling_d_fine.py
patch: @@ -1248,6 +1248,10 @@ def forward(
 
             if self.class_embed is not None and (self.training or i == self.eval_idx):
                 scores = self.class_embed[i](hidden_states)
+                # Add initial logits and reference points with pre-bbox head
+                if i == 0:
+                    intermediate_logits += (scores,)
+                    intermediate_reference_points += (new_reference_points,)
                 # Lqe does not affect the performance here.
                 scores = self.lqe_layers[i](scores, pred_corners)
                 intermediate_logits += (scores,)

filename: src/transformers/models/d_fine/modular_d_fine.py
patch: @@ -803,6 +803,10 @@ def forward(
 
             if self.class_embed is not None and (self.training or i == self.eval_idx):
                 scores = self.class_embed[i](hidden_states)
+                # Add initial logits and reference points with pre-bbox head
+                if i == 0:
+                    intermediate_logits += (scores,)
+                    intermediate_reference_points += (new_reference_points,)
                 # Lqe does not affect the performance here.
                 scores = self.lqe_layers[i](scores, pred_corners)
                 intermediate_logits += (scores,)