wehub-resource-sync
142 lines
4.7 KiB
C++
142 lines
4.7 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <cassert>
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#include <string>
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#include "paddle/fluid/inference/tensorrt/plugin/trt_plugin.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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namespace plugin {
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class RecoverPaddingPlugin : public DynamicPluginTensorRT {
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public:
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RecoverPaddingPlugin() {}
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RecoverPaddingPlugin(void const* serial_data, size_t serial_length) {}
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nvinfer1::IPluginV2DynamicExt* clone() const TRT_NOEXCEPT override {
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RecoverPaddingPlugin* ptr = new RecoverPaddingPlugin();
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return ptr;
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}
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const char* getPluginType() const TRT_NOEXCEPT override {
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return "recover_padding_plugin";
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}
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int getNbOutputs() const TRT_NOEXCEPT override { return 1; }
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int initialize() TRT_NOEXCEPT { return 0; }
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void terminate() TRT_NOEXCEPT;
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nvinfer1::DimsExprs getOutputDimensions(
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int outputIndex,
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const nvinfer1::DimsExprs* inputs,
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int nbInputs,
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nvinfer1::IExprBuilder& exprBuilder) // NOLINT
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TRT_NOEXCEPT override;
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bool supportsFormatCombination(int pos,
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const nvinfer1::PluginTensorDesc* inOut,
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int nbInputs,
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int nbOutputs) TRT_NOEXCEPT override;
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void configurePlugin(const nvinfer1::DynamicPluginTensorDesc* inputs,
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int nbInputs,
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const nvinfer1::DynamicPluginTensorDesc* outputs,
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int nbOutputs) TRT_NOEXCEPT override;
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size_t getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs,
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int nbInputs,
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const nvinfer1::PluginTensorDesc* outputs,
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int nbOutputs) const TRT_NOEXCEPT override {
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return 0;
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}
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void attachToContext(cudnnContext* cudnnContext,
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cublasContext* cublasContext,
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nvinfer1::IGpuAllocator* gpuAllocator)
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TRT_NOEXCEPT override;
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void detachFromContext() TRT_NOEXCEPT override;
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int enqueue(const nvinfer1::PluginTensorDesc* inputDesc,
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const nvinfer1::PluginTensorDesc* outputDesc,
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const void* const* inputs,
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void* const* outputs,
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void* workspace,
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cudaStream_t stream) TRT_NOEXCEPT override;
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nvinfer1::DataType getOutputDataType(int index,
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const nvinfer1::DataType* inputTypes,
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int nbInputs) const
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TRT_NOEXCEPT override;
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void destroy() TRT_NOEXCEPT override { delete this; }
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protected:
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size_t getSerializationSize() const TRT_NOEXCEPT override { return 0; }
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void serialize(void* buffer) const TRT_NOEXCEPT override {}
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};
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class RecoverPaddingPluginCreator : public nvinfer1::IPluginCreator {
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public:
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RecoverPaddingPluginCreator() {}
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const char* getPluginName() const TRT_NOEXCEPT override {
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return "recover_padding_plugin";
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}
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const char* getPluginVersion() const TRT_NOEXCEPT override { return "1"; }
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const nvinfer1::PluginFieldCollection* getFieldNames() TRT_NOEXCEPT override {
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return &field_collection_;
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}
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nvinfer1::IPluginV2* createPlugin(
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const char* name, const nvinfer1::PluginFieldCollection* plugin_field)
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TRT_NOEXCEPT override {
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return nullptr;
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}
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nvinfer1::IPluginV2* deserializePlugin(const char* name,
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void const* serial_data,
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size_t serial_length)
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TRT_NOEXCEPT override {
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RecoverPaddingPlugin* obj =
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new RecoverPaddingPlugin(serial_data, serial_length);
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obj->setPluginNamespace(name);
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return obj;
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}
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void setPluginNamespace(const char* lib_namespace) TRT_NOEXCEPT override {
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plugin_namespace_ = lib_namespace;
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}
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const char* getPluginNamespace() const TRT_NOEXCEPT override {
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return plugin_namespace_.c_str();
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}
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private:
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std::string plugin_namespace_;
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std::string plugin_name_;
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nvinfer1::PluginFieldCollection field_collection_{0, nullptr};
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};
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REGISTER_TRT_PLUGIN_V2(RecoverPaddingPluginCreator);
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} // namespace plugin
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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