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kernel: use tensor cores for flashinfer gqa kernels (#1403)

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Zihao Ye
2024-09-12 00:38:18 -07:00
committed by GitHub
parent 3efa798116
commit debbdb5178
1 changed files with 11 additions and 3 deletions
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14
python/sglang/srt/layers/attention_backend.py
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@@ -79,9 +79,17 @@ class FlashInferAttnBackend(AttentionBackend):
super().__init__()
self.model_runner = model_runner
if not _grouped_size_compiled_for_decode_kernels(
model_runner.model_config.num_attention_heads // model_runner.tp_size,
model_runner.model_config.get_num_kv_heads(model_runner.tp_size),
local_num_qo_heads = (
model_runner.model_config.num_attention_heads // model_runner.tp_size
)
local_num_kv_heads = model_runner.model_config.get_num_kv_heads(
model_runner.tp_size
)
if (
not _grouped_size_compiled_for_decode_kernels(
local_num_qo_heads, local_num_kv_heads
)
or local_num_qo_heads // local_num_kv_heads > 4
):
self.decode_use_tensor_cores = True
else: