Fix GroundingDINO, DPR after BERT SDPA update

docs/source/en/perf_infer_gpu_one.md

@@ -194,6 +194,7 @@ For now, Transformers supports SDPA inference and training for the following arc
 * [Bert](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertModel)
 * [Cohere](https://huggingface.co/docs/transformers/model_doc/cohere#transformers.CohereModel)
 * [Dbrx](https://huggingface.co/docs/transformers/model_doc/dbrx#transformers.DbrxModel)
+* [Dpr](https://huggingface.co/docs/transformers/model_doc/dpr#transformers.DprReader)
 * [Falcon](https://huggingface.co/docs/transformers/model_doc/falcon#transformers.FalconModel)
 * [Gemma](https://huggingface.co/docs/transformers/model_doc/gemma#transformers.GemmaModel)
 * [GPTBigCode](https://huggingface.co/docs/transformers/model_doc/gpt_bigcode#transformers.GPTBigCodeModel)

src/transformers/models/dpr/modeling_dpr.py

@@ -142,6 +142,8 @@ class DPRReaderOutput(ModelOutput):
 
 
 class DPRPreTrainedModel(PreTrainedModel):
+    _supports_sdpa = True
+
     def _init_weights(self, module):
         """Initialize the weights"""
         if isinstance(module, nn.Linear):

src/transformers/models/grounding_dino/modeling_grounding_dino.py

@@ -2113,7 +2113,9 @@ def __init__(self, config: GroundingDinoConfig):
             )
 
         # Create text backbone
-        self.text_backbone = AutoModel.from_config(config.text_config, add_pooling_layer=False)
+        self.text_backbone = AutoModel.from_config(
+            config.text_config, add_pooling_layer=False, attn_implementation=config._attn_implementation
+        )
         self.text_projection = nn.Linear(config.text_config.hidden_size, config.d_model)
 
         if config.embedding_init_target or not config.two_stage: