Support passing flash_attn_kwargs when gradient_checkpointing is enabled (#37037)

* support passing flash_attn_kwargs when gradient_checkpointing is enabled

* make modeling_deepspeek_v3.py consistent with modular_deepseek_v3.py

examples/modular-transformers/modeling_dummy.py

@@ -4,6 +4,7 @@
 #             the file from the modular. If any change should be done, please apply the change to the
 #                          modular_dummy.py file directly. One of our CI enforces this.
 #                🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
+from functools import partial
 from typing import Callable, Optional, Tuple, Union
 
 import torch
@@ -544,7 +545,7 @@ class DummyModel(DummyPreTrainedModel):
 
             if self.gradient_checkpointing and self.training:
                 layer_outputs = self._gradient_checkpointing_func(
-                    decoder_layer.__call__,
+                    partial(decoder_layer.__call__, **flash_attn_kwargs),
                     hidden_states,
                     causal_mask,
                     position_ids,