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[CUDA] Fix build errors #27319

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Merged
tianleiwu merged 1 commit into from
Feb 12, 2026
Merged

[CUDA] Fix build errors #27319

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12 changes: 10 additions & 2 deletions onnxruntime/contrib_ops/cuda/bert/group_query_attention_impl.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -612,8 +612,8 @@ Status ExtremeDecoding(
batch_size,
parameters.seqlen_present_kv_cache, // max_seqlen (capacity)
data.past_seq_lens,
data.cos_cache,
data.sin_cache,
reinterpret_cast<const CudaT*>(data.cos_cache),
reinterpret_cast<const CudaT*>(data.sin_cache),
parameters.do_rotary ? parameters.rotary_dim : 0,
data.position_ids,
parameters.rotary_interleaved,
Expand Down Expand Up @@ -1105,6 +1105,7 @@ Status QkvToContext(

template struct GroupQueryAttentionData<half, half>;
template struct GroupQueryAttentionData<__nv_bfloat16, __nv_bfloat16>;
template struct GroupQueryAttentionData<BFloat16, BFloat16>;
template struct GroupQueryAttentionData<half, int8_t>;

template Status QkvToContext<half, half>(
Expand All @@ -1121,6 +1122,13 @@ template Status QkvToContext<__nv_bfloat16, __nv_bfloat16>(
contrib::GroupQueryAttentionParameters& parameters,
GroupQueryAttentionData<__nv_bfloat16, __nv_bfloat16>& data);

template Status QkvToContext<BFloat16, BFloat16>(
const cudaDeviceProp& device_prop,
cublasHandle_t& cublas,
Stream* ort_stream,
contrib::GroupQueryAttentionParameters& parameters,
GroupQueryAttentionData<BFloat16, BFloat16>& data);

template Status QkvToContext<half, int8_t>(
const cudaDeviceProp& device_prop,
cublasHandle_t& cublas,
Expand Down
5 changes: 3 additions & 2 deletions onnxruntime/core/providers/cuda/llm/attention.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -196,7 +196,7 @@ Status Attention<T>::ComputeInternal(OpKernelContext* context) const {
gqa_parameters.num_splits = 1;

// Construct GroupQueryAttentionData
onnxruntime::contrib::cuda::GroupQueryAttentionData<CudaT> gqa_data;
onnxruntime::contrib::cuda::GroupQueryAttentionData<CudaT, CudaT> gqa_data;

// Scratch buffers for flash/memory efficient attention
IAllocatorUniquePtr<void> k_buffer;
Expand Down Expand Up @@ -355,6 +355,7 @@ Status Attention<T>::ComputeInternal(OpKernelContext* context) const {
// Centralized scratch buffer allocation using GQABufferRequirements
auto buffer_req = onnxruntime::contrib::cuda::GQABufferRequirements::Compute<T>(
gqa_parameters,
false, // use_xqa
gqa_data.use_flash_attention,
gqa_data.use_flash_attention_fast_decode,
gqa_data.use_memory_efficient_attention);
Expand Down Expand Up @@ -478,7 +479,7 @@ Status Attention<T>::ComputeInternal(OpKernelContext* context) const {
// Call GQA kernel (with flash or memory efficient attention)
cublasHandle_t cublas = GetCublasHandle(context);

return onnxruntime::contrib::cuda::QkvToContext<CudaT>(
return onnxruntime::contrib::cuda::QkvToContext<CudaT, CudaT>(
device_prop, cublas, context->GetComputeStream(), gqa_parameters, gqa_data);
}

Expand Down
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