perf: preload V in decode split-kv shared mem and cache partial tensors
- Preload V into shared memory alongside K to eliminate per-element KV address lookups in the inner softmax/accum loop (doubles smem) - Cache split-KV partial tensors (o_part, ml_part) with static tensors instead of per-call allocation in both decode and paged-decode paths - Force is_causal=True in CUDA decode backend (decode is always causal)
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@@ -24,7 +24,17 @@ torch::Tensor attn_paged_decode(
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auto O = torch::empty({q.size(0), q.size(1), q.size(2)}, q.options());
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p.o = (bf16*)O.data_ptr();
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alloc_split_partials(p);
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{
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static torch::Tensor s_o_part, s_ml_part;
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int64_t o_needed = (int64_t)p.batch * p.q_head * MAX_SPLITS * p.head_dim;
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auto fopt = torch::TensorOptions().dtype(torch::kFloat32).device(torch::kCUDA);
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if (!s_o_part.defined() || s_o_part.numel() < o_needed) {
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s_o_part = torch::empty({p.batch, p.q_head, MAX_SPLITS, p.head_dim}, fopt);
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s_ml_part = torch::empty({p.batch, p.q_head, MAX_SPLITS, 2}, fopt);
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}
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p.o_part = (float*)s_o_part.data_ptr();
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p.ml_part = (float*)s_ml_part.data_ptr();
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}
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DISPATCH_HEAD_DIM(p.head_dim, dispatch_paged_decode, p, stream);
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C10_CUDA_CHECK(cudaGetLastError());
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return O;
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