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Update CUDA TopK kernel registration to opset 24 with BFloat16 support #27735

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Merged
tianleiwu merged 6 commits into from
Mar 24, 2026
Merged

Update CUDA TopK kernel registration to opset 24 with BFloat16 support #27735

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c911bf4
Update CUDA TopK to fill opset gap: cap opset 11 to 11-23, add opset 24
Copilot Mar 18, 2026
ef1079e
Merge remote-tracking branch 'origin/main' into copilot/update-topk-f…
Copilot Mar 18, 2026
291d8af
Update docs/OperatorKernels.md for CUDA TopK opset gap (11+ → [11,23]…
Copilot Mar 18, 2026
58775e4
Add BFloat16 support for CUDA TopK opset 24
Copilot Mar 20, 2026
3ea0233
Add BFloat16 test cases for TopK opset 24
Copilot Mar 20, 2026
e33539c
Fix CUB radix sort build error: map BFloat16 to __nv_bfloat16 for CUB…
Copilot Mar 21, 2026
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3 changes: 2 additions & 1 deletion docs/OperatorKernels.md
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Original file line number Diff line number Diff line change
Expand Up @@ -958,7 +958,8 @@ Do not modify directly.*
|||1+|**T** = tensor(double), tensor(float), tensor(float16)|
|Tile|*in* input:**T**<br> *in* repeats:**T1**<br> *out* output:**T**<br><br>or<br><br>*in* input:**T**<br> *in* tiles:**T**<br> *in* axis:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(int64)|
|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(int64)|
|TopK|*in* X:**T**<br> *in* K:**tensor(int64)**<br> *out* Values:**T**<br> *out* Indices:**I**<br><br>or<br><br>*in* X:**T**<br> *out* Values:**T**<br> *out* Indices:**I**|11+|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
|TopK|*in* X:**T**<br> *in* K:**tensor(int64)**<br> *out* Values:**T**<br> *out* Indices:**I**<br><br>or<br><br>*in* X:**T**<br> *out* Values:**T**<br> *out* Indices:**I**|24+|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
|||[11, 23]|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
|||10|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
|||[1, 9]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
|Transpose|*in* data:**T**<br> *out* transposed:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
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6 changes: 4 additions & 2 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Expand Up @@ -981,7 +981,7 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kO
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, MLFloat16, LogSoftmax);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, Split);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, Squeeze);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, TopK);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 23, TopK);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceAt);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceConstruct);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceEmpty);
Expand Down Expand Up @@ -1634,6 +1634,7 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
#endif

// Opset 24.
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, TopK);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, TensorScatter);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, float, Attention);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention);
Expand Down Expand Up @@ -2070,7 +2071,7 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, MLFloat16, LogSoftmax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, Split)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, Squeeze)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, TopK)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 23, TopK)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceAt)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceConstruct)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, SequenceEmpty)>,
Expand Down Expand Up @@ -2717,6 +2718,7 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, Unsqueeze)>,

// Opset 24
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, TopK)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, TensorScatter)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, float, Attention)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention)>,
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17 changes: 16 additions & 1 deletion onnxruntime/core/providers/cuda/math/topk.cc
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Expand Up @@ -35,10 +35,25 @@ ONNX_OPERATOR_VERSIONED_KERNEL_EX(
.TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),
TopK<true>);

ONNX_OPERATOR_VERSIONED_KERNEL_EX(
TopK,
kOnnxDomain,
11, 23,
kCudaExecutionProvider,
(*KernelDefBuilder::Create())
.InputMemoryType(OrtMemTypeCPUInput, 1)
.TypeConstraint("T", {DataTypeImpl::GetTensorType<MLFloat16>(),
DataTypeImpl::GetTensorType<float>(),
DataTypeImpl::GetTensorType<double>(),
DataTypeImpl::GetTensorType<int32_t>(),
DataTypeImpl::GetTensorType<int64_t>()})
.TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),
TopK<true>);

ONNX_OPERATOR_KERNEL_EX(
TopK,
kOnnxDomain,
11,
24,
kCudaExecutionProvider,
(*KernelDefBuilder::Create())
.InputMemoryType(OrtMemTypeCPUInput, 1)
Expand Down
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