/*
 * Copyright (c) 2021, 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_NORMALIZE_PLUGIN_H
#define TRT_NORMALIZE_PLUGIN_H
#include "cudnn.h"
#include "kernel.h"
#include "plugin.h"
#include <cublas_v2.h>
#include <string>
#include <vector>

namespace nvinfer1
{
namespace plugin
{

class Normalize : public IPluginV2Ext
{
public:
    Normalize(const Weights* weights, int nbWeights, bool acrossSpatial, bool channelShared, float eps);

    Normalize(
        const Weights* weights, int nbWeights, bool acrossSpatial, bool channelShared, float eps, int C, int H, int W);

    Normalize(const void* buffer, size_t length);

    ~Normalize() override = default;

    int getNbOutputs() const noexcept override;

    Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) noexcept override;

    int initialize() noexcept override;

    void terminate() noexcept override;

    size_t getWorkspaceSize(int maxBatchSize) const noexcept override;

    int enqueue(int batchSize, const void* 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 supportsFormat(DataType type, PluginFormat format) const noexcept override;

    const char* getPluginType() const noexcept override;

    const char* getPluginVersion() const noexcept override;

    void destroy() noexcept override;

    IPluginV2Ext* clone() const noexcept override;

    void setPluginNamespace(const char* pluginNamespace) noexcept override;

    const char* getPluginNamespace() const noexcept override;

    DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const noexcept override;

    bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const noexcept override;

    bool canBroadcastInputAcrossBatch(int inputIndex) const noexcept override;

    void attachToContext(
        cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept override;

    void configurePlugin(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs,
        const DataType* inputTypes, const DataType* outputTypes, const bool* inputIsBroadcast,
        const bool* outputIsBroadcast, PluginFormat floatFormat, int maxBatchSize) noexcept override;

    void detachFromContext() noexcept override;

private:
    Weights copyToDevice(const void* hostData, size_t count);
    void serializeFromDevice(char*& hostBuffer, Weights deviceWeights) const;
    Weights deserializeToDevice(const char*& hostBuffer, size_t count);

    cublasHandle_t mCublas;

    Weights mWeights{};
    int mNbWeights{};
    bool acrossSpatial{};
    bool channelShared{};
    float eps{};
    int C{};
    int H{};
    int W{};
    std::string mPluginNamespace;
};

class NormalizePluginCreator : public BaseCreator
{
public:
    NormalizePluginCreator();

    ~NormalizePluginCreator() override = default;

    const char* getPluginName() const noexcept override;

    const char* getPluginVersion() const noexcept override;

    const PluginFieldCollection* getFieldNames() noexcept override;

    IPluginV2Ext* createPlugin(const char* name, const PluginFieldCollection* fc) noexcept override;

    IPluginV2Ext* deserializePlugin(const char* name, const void* serialData, size_t serialLength) noexcept override;

private:
    static PluginFieldCollection mFC;
    bool mAcrossSpatial{};
    bool mChannelShared{};
    float mEps{};
    int mNbWeights{};
    static std::vector<PluginField> mPluginAttributes;
};
} // namespace plugin
} // namespace nvinfer1

#endif // TRT_NORMALIZE_PLUGIN_H