Repository: huggingface/transformers
Pull request: Patch GPTNeoX to use adequate FA2 if position_ids is provided

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https://github.com/huggingface/transformers/pull/31629 introduced the ability to use `position_ids` in FlashAttention-2, but not all models were updated to support it. This PR is a straightforward extension to GPT-NeoX models.

I was looking into including GPT-2 too, but from a quick glance at the code it seems a little bit trickier.

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@ArthurZucker

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Changed files:
filename: src/transformers/models/gpt_neox/modeling_gpt_neox.py
patch: @@ -148,6 +148,7 @@ def flash_attention_forward(
     norm_factor,
     attention_dropout,
     training,
+    position_ids=None,
     target_dtype=None,
     **_kwargs,
 ):
@@ -173,6 +174,7 @@ def flash_attention_forward(
         attention_mask,
         query_length,
         dropout=attention_dropout,
+        position_ids=position_ids,
         softmax_scale=norm_factor,
         is_causal=True,
         use_top_left_mask=flash_attn_uses_top_left_mask,
@@ -353,6 +355,7 @@ def forward(
             key,
             value,
             attention_mask=attention_mask,
+            position_ids=position_ids,
             head_mask=head_mask,
             norm_factor=self.norm_factor,
             attention_dropout=self.config.attention_dropout,