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Fill CUDA opset gap for ReduceMax and ReduceMin (18 → 20) #27755

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Merged
tianleiwu merged 5 commits into from
May 5, 2026
Merged

Fill CUDA opset gap for ReduceMax and ReduceMin (18 → 20) #27755

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db126d2
Fill opset gap for ReduceMax and ReduceMin in CUDA: extend from opset…
Copilot Mar 18, 2026
07cdcf8
Merge remote-tracking branch 'origin/main' into copilot/update-onnx-r…
tianleiwu Mar 24, 2026
fe649c7
Merge main
tianleiwu May 5, 2026
4848d47
add test
tianleiwu May 5, 2026
fb7000a
fix(cuda): add missing int8_t/uint8_t ReduceMax entries in provider t…
tianleiwu May 5, 2026
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72 changes: 48 additions & 24 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -1371,13 +1371,13 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(
kCudaExecutionProvider, kOnnxDomain, 14, 14, double, BatchNormalization);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(
kCudaExecutionProvider, kOnnxDomain, 14, 14, MLFloat16, BatchNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, float, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, double, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, MLFloat16, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int32_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int8_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, uint8_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int64_t, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, float, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, double, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, MLFloat16, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int32_t, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int8_t, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, uint8_t, ReduceMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int64_t, ReduceMin);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 14, Trilu);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 14, BFloat16, Add);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 14, BFloat16, Sub);
Expand Down Expand Up @@ -1437,11 +1437,11 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
// Opset 18
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, Split);

class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, float, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, double, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, MLFloat16, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int32_t, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int64_t, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, float, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, double, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, MLFloat16, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int32_t, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int64_t, ReduceMax);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, ScatterElements);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, ScatterND);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 18, float, Pad);
Expand Down Expand Up @@ -1528,6 +1528,18 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, IsInf);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, IsNaN);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, 21, float, GridSample);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, double, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, MLFloat16, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int32_t, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int64_t, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, double, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, MLFloat16, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int32_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int8_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, uint8_t, ReduceMin);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int64_t, ReduceMin);

// Opset 21.
// TODO(fajin): support other quantized types
Expand Down Expand Up @@ -2583,18 +2595,18 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {

// Opset 18
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, Split)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, float, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, double, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, MLFloat16, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int32_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, uint8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int64_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, float, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, double, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, MLFloat16, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int32_t, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, int64_t, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, float, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, double, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, MLFloat16, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int32_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, uint8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int64_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, float, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, double, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, MLFloat16, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int32_t, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 19, int64_t, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, ScatterElements)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, ScatterND)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 18, 18, float, Pad)>,
Expand Down Expand Up @@ -2683,6 +2695,18 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, IsInf)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, IsNaN)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, 21, float, GridSample)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, double, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, MLFloat16, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int32_t, ReduceMax)>,
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BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int64_t, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, double, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, MLFloat16, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int32_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, uint8_t, ReduceMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, int64_t, ReduceMin)>,

// Opset 21
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 22, float, Pad)>,
Expand Down
66 changes: 52 additions & 14 deletions onnxruntime/core/providers/cuda/reduction/reduction_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,16 @@ namespace cuda {
(*KernelDefBuilder::Create()).TypeConstraint("T", DataTypeImpl::GetTensorType<T>()).InputMemoryType(OrtMemTypeCPUInput, 1), \
name<T>);

#define REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(name, T, begin, end) \
ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_EX( \
name, \
kOnnxDomain, \
begin, end, \
T, \
kCudaExecutionProvider, \
(*KernelDefBuilder::Create()).TypeConstraint("T", DataTypeImpl::GetTensorType<T>()).InputMemoryType(OrtMemTypeCPUInput, 1), \
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name<T>);

#define REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(name, T, last, cur) \
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(name, T, 1, last) \
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(name, T, cur)
Expand Down Expand Up @@ -862,27 +872,55 @@ REGISTER_KERNEL_ARGMIN_OR_ARGMAX(ArgMin, MLFloat16)
REGISTER_KERNEL_ARGMIN_OR_ARGMAX(ArgMin, float)
REGISTER_KERNEL_ARGMIN_OR_ARGMAX(ArgMin, double)

REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, MLFloat16, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, float, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, double, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, int32_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, int64_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, int8_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMax, uint8_t, 17, 18)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, MLFloat16, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, float, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, double, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, int32_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, int64_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, int8_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMax, uint8_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, MLFloat16, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, float, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, double, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, int32_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, int64_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, int8_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMax, uint8_t, 18, 19)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, MLFloat16, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, float, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, double, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, int32_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, int64_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, int8_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMax, uint8_t, 20)

REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMean, MLFloat16, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMean, float, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMean, double, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMean, BFloat16, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMean, int32_t, 17, 18)

REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, MLFloat16, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, float, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, double, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, int32_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, int64_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, int8_t, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceMin, uint8_t, 17, 18)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, MLFloat16, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, float, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, double, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, int32_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, int64_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, int8_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_TYPED(ReduceMin, uint8_t, 1, 17)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, MLFloat16, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, float, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, double, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, int32_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, int64_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, int8_t, 18, 19)
REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED(ReduceMin, uint8_t, 18, 19)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, MLFloat16, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, float, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, double, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, int32_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, int64_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, int8_t, 20)
REGISTER_KERNEL_VERSIONED_SINCE_TYPED(ReduceMin, uint8_t, 20)

REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceProd, MLFloat16, 17, 18)
REGISTER_KERNEL_TYPED_AXES_INPUT_WITH_VERSIONED(ReduceProd, float, 17, 18)
Expand Down
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