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nvidia--tensorrt/plugin/groupNormalizationPlugin/groupNormalizationPlugin.h
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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TRT_GROUP_NORM_PLUGIN_H
#define TRT_GROUP_NORM_PLUGIN_H
#include "common/plugin.h"
#include <string>
#include <vector>
// One of the preferred ways of making TensorRT to be able to see
// our custom layer requires extending IPluginV2 and IPluginCreator classes.
// For requirements for overriden functions, check TensorRT API docs.
namespace nvinfer1
{
namespace plugin
{
template <typename T>
cudaError_t scaleShiftChannelsInplace(T* inOut, int32_t const B, int32_t const C, int32_t const channelVolume,
float const* beta, float const* gamma, cudaStream_t stream);
class GroupNormalizationPlugin final : public nvinfer1::IPluginV2DynamicExt
{
public:
GroupNormalizationPlugin(float epsilon, int32_t const nbGroups);
GroupNormalizationPlugin(void const* data, size_t length);
// It doesn't make sense to make GroupNormalizationPlugin without arguments, so we
// delete default constructor.
GroupNormalizationPlugin() = delete;
int32_t getNbOutputs() const noexcept override;
// DynamicExt plugins returns DimsExprs class instead of Dims
DimsExprs getOutputDimensions(int32_t index, nvinfer1::DimsExprs const* inputs, int32_t nbInputDims,
nvinfer1::IExprBuilder& exprBuilder) noexcept override;
int32_t initialize() noexcept override;
void terminate() noexcept override;
size_t getWorkspaceSize(nvinfer1::PluginTensorDesc const* inputs, int32_t nbInputs,
nvinfer1::PluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
int32_t enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc,
void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
size_t getSerializationSize() const noexcept override;
void serialize(void* buffer) const noexcept override;
bool supportsFormatCombination(
int32_t pos, nvinfer1::PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
char const* getPluginType() const noexcept override;
char const* getPluginVersion() const noexcept override;
nvinfer1::IPluginV2DynamicExt* clone() const noexcept override;
void destroy() noexcept override;
DataType getOutputDataType(
int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept override;
void attachToContext(
cudnnContext* cudnn, cublasContext* cublas, nvinfer1::IGpuAllocator* allocator) noexcept override;
void detachFromContext() noexcept override;
void setPluginNamespace(char const* pluginNamespace) noexcept override;
char const* getPluginNamespace() const noexcept override;
void configurePlugin(nvinfer1::DynamicPluginTensorDesc const* in, int32_t nbInputs,
nvinfer1::DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept override;
private:
std::string mNamespace;
float mEpsilon;
int32_t mNbGroups;
int32_t mChannelVolume;
nvinfer1::pluginInternal::cudnnHandle_t mCudnnHandle{};
// the wrapper pointer is shared among all plugins attached to the same context.
std::shared_ptr<nvinfer1::pluginInternal::CudnnWrapper> mCudnnWrapper;
// Describes input and output.
nvinfer1::pluginInternal::cudnnTensorDescriptor_t mTensorDesc{};
nvinfer1::pluginInternal::cudnnTensorDescriptor_t mBNTensorDesc{};
// These are buffers initialized to 1 and 0 respectively
std::shared_ptr<CudaBind<float>> mBnScales{};
std::shared_ptr<CudaBind<float>> mBnBias{};
size_t mNbScaleBias{};
using IPluginV2::getOutputDimensions;
using IPluginV2::getWorkspaceSize;
using IPluginV2::enqueue;
using IPluginV2Ext::configurePlugin;
};
class GroupNormalizationPluginCreator : public IPluginCreator
{
public:
GroupNormalizationPluginCreator();
~GroupNormalizationPluginCreator() override = default;
char const* getPluginName() const noexcept override;
char const* getPluginVersion() const noexcept override;
PluginFieldCollection const* getFieldNames() noexcept override;
IPluginV2DynamicExt* createPlugin(char const* name, PluginFieldCollection const* fc) noexcept override;
IPluginV2DynamicExt* deserializePlugin(
char const* name, void const* serialData, size_t serialLength) noexcept override;
void setPluginNamespace(char const* pluginNamespace) noexcept override;
char const* getPluginNamespace() const noexcept override;
private:
PluginFieldCollection mFC;
std::vector<PluginField> mPluginAttributes;
std::string mNamespace;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_GROUP_NORM_PLUGIN_H