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https://github.com/deepseek-ai/FlashMLA
synced 2025-06-26 18:15:54 +00:00
support fp16
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@@ -77,7 +77,7 @@ mha_fwd_kvcache_mla(
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at::Tensor vcache = vcache_.has_value() ? vcache_.value() : kcache;
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auto q_dtype = q.dtype();
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TORCH_CHECK(q_dtype == torch::kBFloat16);
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TORCH_CHECK(q_dtype == torch::kBFloat16 || q_dtype == torch::kFloat16);
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TORCH_CHECK(kcache.dtype() == q_dtype, "query and key must have the same dtype");
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CHECK_DEVICE(q); CHECK_DEVICE(kcache); CHECK_DEVICE(vcache);
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@@ -186,7 +186,12 @@ mha_fwd_kvcache_mla(
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auto stream = at::cuda::getCurrentCUDAStream().stream();
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TORCH_CHECK(head_size == 576);
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run_mha_fwd_splitkv_mla<cutlass::bfloat16_t, 576>(params, stream);
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if (q_dtype == torch::kBFloat16) {
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run_mha_fwd_splitkv_mla<cutlass::bfloat16_t, 576>(params, stream);
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} else {
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run_mha_fwd_splitkv_mla<cutlass::half_t, 576>(params, stream);
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}
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out = out.view({batch_size, seqlen_q_ori, ngroups, num_heads_k, head_size_v}).transpose(2, 3)
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.reshape({batch_size, seqlen_q_ori, num_heads_ori, head_size_v});
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