chore: import upstream snapshot with attribution
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/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef TRT_INSTANCE_NORMALIZATION_PLUGIN_H
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#define TRT_INSTANCE_NORMALIZATION_PLUGIN_H
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#include "NvInfer.h"
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#include "NvInferPlugin.h"
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#include "common/plugin.h"
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#include "common/serialize.hpp"
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#include "instanceNormalizationPlugin/instanceNormFwd.h"
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#include <cuda_fp16.h>
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#include <iostream>
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#include <string>
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#include <vector>
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typedef uint16_t half_type;
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namespace
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{
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constexpr char const* gInstancePluginFullNameV3{"InstanceNormalization_TRT, version:3"};
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} // namespace
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namespace nvinfer1
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{
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namespace plugin
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{
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class InstanceNormalizationV3Plugin : public IPluginV3,
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public IPluginV3OneCore,
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public IPluginV3OneBuild,
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public IPluginV3OneRuntime
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{
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public:
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InstanceNormalizationV3Plugin(float epsilon, nvinfer1::Weights const& scale, nvinfer1::Weights const& bias,
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int32_t relu = 0, float alpha = 0.F);
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InstanceNormalizationV3Plugin(float epsilon, std::vector<float> const& scale, std::vector<float> const& bias,
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int32_t relu = 0, float alpha = 0.F);
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InstanceNormalizationV3Plugin(void const* serialData, size_t serialLength);
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InstanceNormalizationV3Plugin() = delete;
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InstanceNormalizationV3Plugin(InstanceNormalizationV3Plugin const&) = default;
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~InstanceNormalizationV3Plugin() override;
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int32_t getNbOutputs() const noexcept override;
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IPluginCapability* getCapabilityInterface(PluginCapabilityType type) noexcept override;
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InstanceNormalizationV3Plugin* clone() noexcept override;
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char const* getPluginName() const noexcept override;
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char const* getPluginNamespace() const noexcept override;
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size_t getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
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DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
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int32_t enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc, void const* const* inputs,
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void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
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// DynamicExt plugin supportsFormat update.
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bool supportsFormatCombination(
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int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
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char const* getPluginVersion() const noexcept override;
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void setPluginNamespace(char const* pluginNamespace) noexcept;
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int32_t getOutputDataTypes(
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DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept override;
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int32_t getOutputShapes(DimsExprs const* inputs, int32_t nbInputs, DimsExprs const* shapeInputs,
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int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs, IExprBuilder& exprBuilder) noexcept override;
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IPluginV3* attachToContext(IPluginResourceContext* context) noexcept override;
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int32_t configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out,
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int32_t nbOutputs) noexcept override;
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int32_t onShapeChange(
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PluginTensorDesc const* in, int32_t nbInputs, PluginTensorDesc const* out, int32_t nbOutputs) noexcept override;
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PluginFieldCollection const* getFieldsToSerialize() noexcept override;
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int32_t initializeContext();
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protected:
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void exitContext();
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private:
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float mEpsilon{};
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float mAlpha{};
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int32_t mRelu{};
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int32_t mNchan{};
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std::vector<float> mHostScale;
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std::vector<float> mHostBias;
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float* mDeviceScale{nullptr};
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float* mDeviceBias{nullptr};
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nvinfer1::pluginInternal::cudnnHandle_t mCudnnHandle{nullptr};
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nvinfer1::pluginInternal::CudnnWrapper& mCudnnWrapper
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= nvinfer1::pluginInternal::getCudnnWrapper(gInstancePluginFullNameV3);
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nvinfer1::pluginInternal::cudnnTensorDescriptor_t mXDescriptor{nullptr};
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nvinfer1::pluginInternal::cudnnTensorDescriptor_t mYDescriptor{nullptr};
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nvinfer1::pluginInternal::cudnnTensorDescriptor_t mBDescriptor{nullptr};
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std::string mPluginNamespace;
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bool mInitialized{false};
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int32_t mCudaDriverVersion{-1};
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std::vector<nvinfer1::PluginField> mDataToSerialize;
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nvinfer1::PluginFieldCollection mFCToSerialize;
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// NDHWC implementation
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instance_norm_impl::InstanceNormFwdContext mContext;
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};
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class InstanceNormalizationV3PluginCreator : public nvinfer1::IPluginCreatorV3One
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{
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public:
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InstanceNormalizationV3PluginCreator();
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~InstanceNormalizationV3PluginCreator() override = default;
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char const* getPluginName() const noexcept override;
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char const* getPluginVersion() const noexcept override;
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PluginFieldCollection const* getFieldNames() noexcept override;
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IPluginV3* createPlugin(char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept override;
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void setPluginNamespace(char const* libNamespace) noexcept;
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char const* getPluginNamespace() const noexcept override;
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private:
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PluginFieldCollection mFC;
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std::vector<PluginField> mPluginAttributes;
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std::string mNamespace;
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};
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} // namespace plugin
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} // namespace nvinfer1
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#endif // TRT_INSTANCE_NORMALIZATION_PLUGIN_H
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