wehub-resource-sync
104 lines
4.1 KiB
C++
104 lines
4.1 KiB
C++
// Copyright (c) 2019 PaddlePaddle Authors. 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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#pragma once
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#include <stdio.h>
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#include <cassert>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/inference/tensorrt/plugin/trt_plugin.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 StackPluginDynamic : public DynamicPluginTensorRT {
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public:
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explicit StackPluginDynamic(int axis, int num_stack, bool with_fp16);
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StackPluginDynamic(void const* serial_data, size_t serial_length);
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~StackPluginDynamic();
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nvinfer1::IPluginV2DynamicExt* clone() const TRT_NOEXCEPT override;
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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* in,
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int nbInputs,
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const nvinfer1::DynamicPluginTensorDesc* out,
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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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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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const char* getPluginType() const TRT_NOEXCEPT override;
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int getNbOutputs() const TRT_NOEXCEPT override;
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int initialize() TRT_NOEXCEPT override;
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void terminate() TRT_NOEXCEPT override;
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size_t getSerializationSize() const TRT_NOEXCEPT override;
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void serialize(void* buffer) const TRT_NOEXCEPT override;
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void destroy() TRT_NOEXCEPT override;
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private:
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int axis_;
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int num_stack_;
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};
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class StackPluginDynamicCreator : public nvinfer1::IPluginCreator {
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public:
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StackPluginDynamicCreator();
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const char* getPluginName() const TRT_NOEXCEPT override;
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const char* getPluginVersion() const TRT_NOEXCEPT override;
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const nvinfer1::PluginFieldCollection* getFieldNames() TRT_NOEXCEPT override;
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nvinfer1::IPluginV2* createPlugin(const char* name,
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const nvinfer1::PluginFieldCollection* fc)
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TRT_NOEXCEPT override;
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nvinfer1::IPluginV2* deserializePlugin(const char* name,
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const void* serial_data,
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size_t serial_length)
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TRT_NOEXCEPT override;
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void setPluginNamespace(const char* lib_namespace) TRT_NOEXCEPT override;
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const char* getPluginNamespace() const TRT_NOEXCEPT override;
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private:
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std::string plugin_namespace_;
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nvinfer1::PluginFieldCollection field_collection_{0, nullptr};
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std::vector<nvinfer1::PluginField> plugin_attributes_;
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};
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REGISTER_TRT_PLUGIN_V2(StackPluginDynamicCreator);
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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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