d9e2cbc294
* add centernet dla34 ctdet task. * update readme. * update readme and fix a bug in sample. Co-authored-by: chandler <chandler@invix.com>
153 lines
4.3 KiB
C++
153 lines
4.3 KiB
C++
/*
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* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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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_DCNV2_PLUGIN_H
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#define TRT_DCNV2_PLUGIN_H
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#include "kernel.h"
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#include "plugin.h"
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#include "dcn_v2_im2col_cuda.h"
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#include "serialize.hpp"
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#include <cudnn.h>
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#include <vector>
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#include <cublas_v2.h>
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#include <cuda.h>
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#include <string>
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#include <vector>
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using namespace nvinfer1::plugin;
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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 DeformableConvolutionalLayer : public IPluginV2Ext
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{
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public:
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DeformableConvolutionalLayer(int out_channels,
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int kernel,
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int deformable_group,
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int dilation,
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int padding,
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int stride,
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const Weights* weight, const Weights* bias);
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DeformableConvolutionalLayer(const void* buffer, size_t length);
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~DeformableConvolutionalLayer() override = default;
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int getNbOutputs() const override;
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Dims getOutputDimensions(int index, const Dims* inputs, int nbInputs) override;
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int initialize() override;
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void terminate() override;
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size_t getWorkspaceSize(int maxBatchSize) const override;
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int enqueue(
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int batchSize, const void* const* inputs, void** outputs, void* workspace, cudaStream_t stream) override;
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size_t getSerializationSize() const override;
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void serialize(void* buffer) const override;
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bool supportsFormat(DataType type, PluginFormat format) const override;
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const char* getPluginType() const override;
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const char* getPluginVersion() const override;
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void destroy() override;
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IPluginV2Ext* clone() const override;
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void setPluginNamespace(const char* pluginNamespace) override;
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const char* getPluginNamespace() const override;
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DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const override;
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bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const override;
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bool canBroadcastInputAcrossBatch(int inputIndex) const override;
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void attachToContext(
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cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) override;
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void configurePlugin(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs,
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const DataType* inputTypes, const DataType* outputTypes, const bool* inputIsBroadcast,
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const bool* outputIsBroadcast, PluginFormat floatFormat, int maxBatchSize) override;
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void detachFromContext() override;
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private:
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Weights copyToDevice(const void* hostData, size_t count);
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void serializeFromDevice(char*& hostBuffer, Weights deviceWeights) const;
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Weights deserializeToDevice(const char*& hostBuffer, size_t count);
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std::string mPluginNamespace;
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int in_channels{};
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int height_out{};
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int width_out{};
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int height{};
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int width{};
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int out_channels{};
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int kernel_size{};
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int deformable_group{};
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int dilation{};
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int padding{};
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int stride{};
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Weights mWeight{};
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Weights mBias{};
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float* mOne;
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float* mColumn;
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cublasHandle_t mCublas;
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};
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class DCNv2PluginCreator : public BaseCreator
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{
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public:
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DCNv2PluginCreator();
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~DCNv2PluginCreator() override = default;
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const char* getPluginName() const override;
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const char* getPluginVersion() const override;
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const PluginFieldCollection* getFieldNames() override;
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IPluginV2Ext* createPlugin(const char* name, const PluginFieldCollection* fc) override;
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IPluginV2Ext* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override;
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private:
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static PluginFieldCollection mFC;
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// Parameters for DeformableConvolutionalLayer
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static std::vector<PluginField> mPluginAttributes;
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};
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} // namespace plugin
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} // namespace nvinfer1
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#endif // TRT_DCNv2_PLUGIN_H
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