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[bugfix] fix MHA for models like OpenGVLab/InternVL3_5-38B (#25146)

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Signed-off-by: Yan Ma <yan.ma@intel.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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Yan Ma 2025-09-19 16:45:06 +08:00 committed by GitHub
parent f2718d2948
commit a684c0124c
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1 changed files with 5 additions and 3 deletions
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vllm/attention/layer.py
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@ -430,9 +430,11 @@ class MultiHeadAttention(nn.Module):
key: torch.Tensor, key: torch.Tensor,
value: torch.Tensor, value: torch.Tensor,
) -> torch.Tensor: ) -> torch.Tensor:
"""Input shape: batch_size x seq_len x hidden_size""" """Input shape:
# TODO(Isotr0py): Use existing backend implementations and support FA3 (batch_size x seq_len x hidden_size) or
bsz, q_len, _ = query.size() (batch_size x seq_len x num_heads x head_size)
"""
bsz, q_len = query.size()[:2]
kv_len = key.size(1) kv_len = key.size(1)
query = query.view(bsz, q_len, self.num_heads, self.head_size) query = query.view(bsz, q_len, self.num_heads, self.head_size)