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[Model] Switch to Fused RMS norm in Qwen2.5_VL model. (#22184)

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Signed-off-by: kf <kuanfu.liu@embeddedllm.com>
Signed-off-by: tjtanaavllm <tunjian.tan@amd.com>
Signed-off-by: vllmellm <vllm.ellm@embeddedllm.com>
Co-authored-by: kf <kuanfu.liu@embeddedllm.com>
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vllmellm 2025-08-07 14:05:24 +08:00 committed by GitHub
parent 4d4297e8fe
commit cbc8457b26
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1 changed files with 7 additions and 7 deletions
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vllm/model_executor/models/qwen2_5_vl.py
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@ -396,13 +396,13 @@ class Qwen2_5_VisionBlock(nn.Module):
max_seqlen: Optional[int] = None, # Only used for Flash Attention
seqlens: Optional[list[int]] = None, # Only used for xFormers
) -> torch.Tensor:
x = x + self.attn(self.norm1(x),
cu_seqlens=cu_seqlens,
rotary_pos_emb=rotary_pos_emb,
max_seqlen=max_seqlen,
seqlens=seqlens)
x = x + self.mlp(self.norm2(x))
x_attn = self.attn(self.norm1(x),
cu_seqlens=cu_seqlens,
rotary_pos_emb=rotary_pos_emb,
max_seqlen=max_seqlen,
seqlens=seqlens)
x_fused_norm, residual = self.norm2(x, residual=x_attn)
x = residual + self.mlp(x_fused_norm)
return x