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removed lens calculation for qwen2_5 #906

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slokesha wants to merge 3 commits into from
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removed lens calculation for qwen2_5 #906

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eaffdd1
removed lens calculation for qwen2_5
slokesha Jan 30, 2026
c1e6334
Fixed lens bug
slokesha Jan 30, 2026
4e62439
Removed cu_seqlens=None condition
slokesha Jan 31, 2026
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27 changes: 15 additions & 12 deletions vllm_gaudi/models/qwen2_5_vl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,22 +77,25 @@ def forward(cls, q, k, v, mask, cu_seqlens, qwen2_5_vl, q_block_size=64):
Support long sequence at prompt phase
"""
q_len = q.size(-2)
lens = (cu_seqlens[1:] - cu_seqlens[:-1]).tolist()
if mask is not None or len(lens) == 1:
if not qwen2_5_vl or (qwen2_5_vl and q_len < 65536):
if qwen2_5_vl:
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@michalkuligowski michalkuligowski Feb 3, 2026

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Is this needed on main?

if q_len < 65536:
return FusedSDPA.apply(q, k, v, mask, 0.0, False, None, cls.softmax_mode)
else:
return AttentionLongSequence.forward(q, k, v, mask, q_block_size, cls.softmax_mode)
else:
q_chunks = torch.split(q, lens, dim=2)
k_chunks = torch.split(k, lens, dim=2)
v_chunks = torch.split(v, lens, dim=2)
outputs = []
for q_i, k_i, v_i in zip(q_chunks, k_chunks, v_chunks):
output_i = FusedSDPA.apply(q_i, k_i, v_i, None, 0.0, False, None, cls.softmax_mode)
outputs.append(output_i)
context_layer = torch.cat(outputs, dim=2)
return context_layer
lens = (cu_seqlens[1:] - cu_seqlens[:-1]).tolist()
if len(lens) == 1:
return FusedSDPA.apply(q, k, v, None, 0.0, False, None, cls.softmax_mode)
else:
q_chunks = torch.split(q, lens, dim=2)
k_chunks = torch.split(k, lens, dim=2)
v_chunks = torch.split(v, lens, dim=2)
outputs = []
for q_i, k_i, v_i in zip(q_chunks, k_chunks, v_chunks):
output_i = FusedSDPA.apply(q_i, k_i, v_i, None, 0.0, False, None, cls.softmax_mode)
outputs.append(output_i)
context_layer = torch.cat(outputs, dim=2)
return context_layer


def create_block_diagonal_attention_mask(indices):
Expand Down