Fix accuracy issue when using a16w16 mla_decode_fwd (#14936)
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@@ -178,11 +178,18 @@ class AiterAttnBackend(AttentionBackend):
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self.forward_metadata: ForwardMetadata = None
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if self.use_mla:
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self.enable_dp_attention = is_dp_attention_enabled()
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self.qo_indptr_ = torch.zeros(
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(max_bs + 1,), dtype=torch.int32, device=model_runner.device
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)
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global _use_mla_ps_kernel, fast_mode, intra_batch_mode
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self.enable_dp_attention = is_dp_attention_enabled()
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# current persist a16w16 mla_decode kernel does not support head_num = 128
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# need to fall back to non-persist
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if self.kv_cache_dtype is not fp8_dtype and self.enable_dp_attention:
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_use_mla_ps_kernel = False
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fast_mode = False
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intra_batch_mode = False
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self.max_split_per_batch = 32 if _use_mla_ps_kernel else None
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