kernel: use tensor cores for flashinfer gqa kernels (#1403)
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@@ -79,9 +79,17 @@ class FlashInferAttnBackend(AttentionBackend):
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super().__init__()
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super().__init__()
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self.model_runner = model_runner
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self.model_runner = model_runner
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if not _grouped_size_compiled_for_decode_kernels(
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local_num_qo_heads = (
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model_runner.model_config.num_attention_heads // model_runner.tp_size,
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model_runner.model_config.num_attention_heads // model_runner.tp_size
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model_runner.model_config.get_num_kv_heads(model_runner.tp_size),
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)
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local_num_kv_heads = model_runner.model_config.get_num_kv_heads(
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model_runner.tp_size
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)
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if (
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not _grouped_size_compiled_for_decode_kernels(
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local_num_qo_heads, local_num_kv_heads
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)
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or local_num_qo_heads // local_num_kv_heads > 4
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):
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):
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self.decode_use_tensor_cores = True
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self.decode_use_tensor_cores = True
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else:
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else:
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