Fix bug of _prepare_4d_attention_mask (#27847)

* use _prepare_4d_attention_mask

* fix comment

src/transformers/models/llama/modeling_llama.py

@@ -29,7 +29,11 @@
 from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
 
 from ...activations import ACT2FN
-from ...modeling_attn_mask_utils import AttentionMaskConverter, _prepare_4d_causal_attention_mask
+from ...modeling_attn_mask_utils import (
+    AttentionMaskConverter,
+    _prepare_4d_attention_mask,
+    _prepare_4d_causal_attention_mask,
+)
 from ...modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, SequenceClassifierOutputWithPast
 from ...modeling_utils import PreTrainedModel
 from ...pytorch_utils import ALL_LAYERNORM_LAYERS, is_torch_greater_or_equal_than_1_13
@@ -78,9 +82,9 @@ def _get_unpad_data(attention_mask):
 
 def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None):
     warnings.warn(
-        "Calling `transformers.models.llama.modeling_llama._prepare_4d_attention_mask` is deprecated and will be removed in v4.37. Use `transformers.modeling_attn_mask_utils.AttentionMaskConverter._prepare_4d_attention_mask"
+        "Calling `transformers.models.llama.modeling_llama._prepare_4d_attention_mask` is deprecated and will be removed in v4.37. Use `transformers.modeling_attn_mask_utils._prepare_4d_attention_mask"
     )
-    return AttentionMaskConverter._prepare_4d_attention_mask(mask=mask, dtype=dtype, tgt_len=tgt_len)
+    return _prepare_4d_attention_mask(mask=mask, dtype=dtype, tgt_len=tgt_len)
 
 
 def _make_causal_mask(