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Rajeev Rao 492878b2df TensorRT OSS release v7.2.1
Signed-off-by: Rajeev Rao <rajeevrao@nvidia.com>
2020-10-20 16:48:23 -07:00

128 lines
4.1 KiB
C++

/*
* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* 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_INSTANCE_NORMALIZATION_PLUGIN_H
#define TRT_INSTANCE_NORMALIZATION_PLUGIN_H
#include "plugin.h"
#include "serialize.hpp"
#include <cudnn.h>
#include <iostream>
#include <string>
#include <vector>
typedef unsigned short half_type;
namespace nvinfer1
{
namespace plugin
{
class InstanceNormalizationPlugin final : public nvinfer1::IPluginV2DynamicExt
{
public:
InstanceNormalizationPlugin(float epsilon, nvinfer1::Weights const& scale, nvinfer1::Weights const& bias);
InstanceNormalizationPlugin(float epsilon, const std::vector<float>& scale, const std::vector<float>& bias);
InstanceNormalizationPlugin(void const* serialData, size_t serialLength);
InstanceNormalizationPlugin() = delete;
~InstanceNormalizationPlugin() override;
int getNbOutputs() const override;
// DynamicExt plugins returns DimsExprs class instead of Dims
DimsExprs getOutputDimensions(
int outputIndex, const nvinfer1::DimsExprs* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) override;
int initialize() override;
void terminate() override;
size_t getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs, int nbInputs,
const nvinfer1::PluginTensorDesc* outputs, int nbOutputs) const override;
int enqueue(const nvinfer1::PluginTensorDesc* inputDesc, const nvinfer1::PluginTensorDesc* outputDesc,
const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) override;
size_t getSerializationSize() const override;
void serialize(void* buffer) const override;
// DynamicExt plugin supportsFormat update.
bool supportsFormatCombination(
int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) override;
const char* getPluginType() const override;
const char* getPluginVersion() const override;
void destroy() override;
nvinfer1::IPluginV2DynamicExt* clone() const override;
void setPluginNamespace(const char* pluginNamespace) override;
const char* getPluginNamespace() const override;
DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const override;
void attachToContext(cudnnContext* cudnn, cublasContext* cublas, nvinfer1::IGpuAllocator* allocator) override;
void detachFromContext() override;
void configurePlugin(const nvinfer1::DynamicPluginTensorDesc* in, int nbInputs,
const nvinfer1::DynamicPluginTensorDesc* out, int nbOutputs) override;
private:
float _epsilon;
int _nchan;
std::vector<float> _h_scale;
std::vector<float> _h_bias;
float* _d_scale;
float* _d_bias;
size_t _d_bytes;
cudnnHandle_t _cudnn_handle;
cudnnTensorDescriptor_t _x_desc, _y_desc, _b_desc;
std::string mPluginNamespace;
};
class InstanceNormalizationPluginCreator : public BaseCreator
{
public:
InstanceNormalizationPluginCreator();
~InstanceNormalizationPluginCreator() override = default;
const char* getPluginName() const override;
const char* getPluginVersion() const override;
const PluginFieldCollection* getFieldNames() override;
IPluginV2DynamicExt* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) override;
IPluginV2DynamicExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override;
private:
static PluginFieldCollection mFC;
static std::vector<PluginField> mPluginAttributes;
std::string mNamespace;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_INSTANCE_NORMALIZATION_PLUGIN_H