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Allow use of TRTLLM_MHA backend for hybrid attention on Blackwell (#11138)

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This commit is contained in:
Dom Brown
2025-10-03 00:04:58 +01:00
committed by GitHub
parent 963175d5c0
commit e810077488
2 changed files with 3 additions and 2 deletions
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3
python/sglang/srt/layers/attention/attention_registry.py
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@@ -178,7 +178,8 @@ def attn_backend_wrapper(runner, full_attn_backend):
if is_blackwell():
assert (
runner.server_args.attention_backend == "triton"
), "triton backend is the only supported backend on Blackwell GPUs for hybrid GDN models, use --attention-backend triton to specify the backend."
or runner.server_args.attention_backend == "trtllm_mha"
), "triton or trtllm_mha backend are the only supported backends on Blackwell GPUs for hybrid GDN models, use --attention-backend triton or --attention-backend trtllm_mha to specify the backend."
if is_npu():
assert (
runner.server_args.attention_backend == "ascend"

2
python/sglang/srt/model_executor/model_runner.py
View File

@@ -1620,7 +1620,7 @@ class ModelRunner:
)
elif self.is_hybrid_gdn:
self.token_to_kv_pool = HybridLinearKVPool(
page_size=self.page_size if _is_npu else 1,
page_size=self.page_size,
size=self.max_total_num_tokens,
dtype=self.kv_cache_dtype,
head_num=self.model_config.get_num_kv_heads(