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Add support for LpNormalization opset 22 #27219

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Add support for LpNormalization opset 22 #27219

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3b7c0ca
Add support for LpNormalization opset 22
chaya2350 Feb 1, 2026
37e5ca2
Add support for LpNormalization opset 22
chaya2350 Feb 1, 2026
429b237
Fix: Remove duplicate LpNormalization opset 22 declarations
chaya2350 Feb 2, 2026
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12 changes: 8 additions & 4 deletions onnxruntime/core/providers/cpu/cpu_execution_provider.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -196,6 +196,8 @@ class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDoma
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 6, 21, InstanceNormalization);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 21, float, LpNormalization);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 21, double, LpNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, float, LpNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, double, LpNormalization);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 12, LRN);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 7, 9, AveragePool);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 7, MaxPool);
Expand Down Expand Up @@ -1325,8 +1327,6 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, Softsign);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, ThresholdedRelu);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, AveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, float, LpNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, double, LpNormalization);

#ifdef MLAS_F16VEC_INTRINSICS_SUPPORTED
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, MLFloat16, Conv);
Expand Down Expand Up @@ -1731,9 +1731,13 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 6, 21,
InstanceNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 21, float,
LpNormalization)>,
LpNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 21, double,
LpNormalization)>,
LpNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, float,
LpNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 22, double,
LpNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 12, LRN)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 7, 9,
AveragePool)>,
Expand Down
12 changes: 6 additions & 6 deletions onnxruntime/core/providers/cpu/nn/lp_norm.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -7,22 +7,22 @@
#include "core/providers/common.h"

namespace onnxruntime {
#define REGISTER_LPNORMALISATION_VERSIONED_KERNEL(type, sinceVersion, endVersion) \
#define REGISTER_LPNORMALISATION_KERNEL(type, sinceVersion, endVersion) \
ONNX_CPU_OPERATOR_VERSIONED_TYPED_KERNEL( \
LpNormalization, sinceVersion, endVersion, type, \
KernelDefBuilder().TypeConstraint("T", DataTypeImpl::GetTensorType<type>()), \
LpNorm<type>);

#define REGISTER_LPNORMALISATION_KERNEL(type, sinceVersion) \
#define REGISTER_LPNORMALISATION_KERNEL_NEW(type, sinceVersion) \
ONNX_CPU_OPERATOR_TYPED_KERNEL( \
LpNormalization, sinceVersion, type, \
KernelDefBuilder().TypeConstraint("T", DataTypeImpl::GetTensorType<type>()), \
LpNorm<type>);

REGISTER_LPNORMALISATION_VERSIONED_KERNEL(float, 1, 21)
REGISTER_LPNORMALISATION_VERSIONED_KERNEL(double, 1, 21)
REGISTER_LPNORMALISATION_KERNEL(float, 22)
REGISTER_LPNORMALISATION_KERNEL(double, 22)
REGISTER_LPNORMALISATION_KERNEL(float, 1, 21)
REGISTER_LPNORMALISATION_KERNEL(double, 1, 21)
REGISTER_LPNORMALISATION_KERNEL_NEW(float, 22)
REGISTER_LPNORMALISATION_KERNEL_NEW(double, 22)

using InnerStride = Eigen::InnerStride<Eigen::Dynamic>;

Expand Down
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