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bugfix for qwen2_5_vl (#805)

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### What this PR does / why we need it?
the interface of qwen2.5vl changes from column linear to qkv linear,
this makes our weight pad func become abnormal, thus we optimize
split_qkv func to fix this bug.

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
with CI

Signed-off-by: zouyida2052 <zouyida2002@gmail.com>
This commit is contained in:
zouyida2052
2025-05-29 17:20:39 +08:00
committed by GitHub
parent a93bed4535
commit 05a471001b
1 changed files with 13 additions and 0 deletions
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13
vllm_ascend/models/qwen2_5_vl.py
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@@ -70,6 +70,19 @@ class AscendQwen2_5_VisionAttention(Qwen2_5_VisionAttention):
if self.hidden_size_per_attention_head > MIN_PAD_SIZE and self.hidden_size_per_attention_head < MAX_PAD_SIZE:
self.hidden_size_per_attention_head = MAX_PAD_SIZE
def split_qkv(self, qkv: torch.Tensor) -> tuple[torch.Tensor, ...]:
# [s, b, 3 * head * head_dim]
seq_len, bs, _ = qkv.shape
# [s, b, 3 * head * head_dim] -> 3 * [s, b, head * head_dim]
q, k, v = qkv.chunk(3, dim=2)
# 3 * [s, b, head * head_dim] -> 3 * [s, b, head, head_dim]
new_shape = (seq_len, bs, self.num_attention_heads_per_partition,
self.hidden_size_per_attention_head)
q, k, v = (x.view(*new_shape) for x in (q, k, v))
return q, k, v
def forward(
self,
x: torch.Tensor,