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[Qwen3Next] Fixes the cuda graph capture conditions under large batch sizes (#24660) (#24667)

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Signed-off-by: Tao He <linzhu.ht@alibaba-inc.com>
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Tao He 2025-09-13 06:31:32 +08:00 committed by GitHub
parent 5fe643fc26
commit 8226dd56bf
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1 changed files with 2 additions and 1 deletions
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vllm/v1/attention/backends/gdn_attn.py
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@ -209,7 +209,8 @@ class GDNAttentionMetadataBuilder(
# prepare tensors for cudagraph # prepare tensors for cudagraph
if (self.use_full_cuda_graph and num_prefills == 0 and num_decodes == 0 if (self.use_full_cuda_graph and num_prefills == 0 and num_decodes == 0
and num_spec_decodes <= self.decode_cudagraph_max_bs): and num_spec_decodes <= self.decode_cudagraph_max_bs
and m.num_actual_tokens <= self.decode_cudagraph_max_bs):
num_total_tokens = self.vllm_config.pad_for_cudagraph( num_total_tokens = self.vllm_config.pad_for_cudagraph(
m.num_actual_tokens) m.num_actual_tokens)
batch_size = num_total_tokens // (self.num_spec + 1) batch_size = num_total_tokens // (self.num_spec + 1)