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https://github.com/PaddlePaddle/FastDeploy.git
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d14828cb18
* add adaptivepool2d for tensorrt plugin * update code * update code * update code to fix bug
113 lines
3.9 KiB
C++
Executable File
113 lines
3.9 KiB
C++
Executable File
// Copyright (c) 2022 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 "fastdeploy/backends/op_cuda_kernels/adaptive_pool2d_kernel.h"
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#include "common.h" // NOLINT
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namespace fastdeploy {
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class AdaptivePool2d : public BasePlugin {
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public:
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AdaptivePool2d(std::vector<int32_t> output_size, std::string pooling_type);
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AdaptivePool2d(const void* buffer, size_t length);
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~AdaptivePool2d() override = default;
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int getNbOutputs() const 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) noexcept override;
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nvinfer1::DataType getOutputDataType(
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int index,
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const nvinfer1::DataType* inputType,
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int nbInputs) const noexcept override;
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bool supportsFormatCombination(
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int pos,
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const nvinfer1::PluginTensorDesc* inOut,
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int nbInputs,
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int nbOutputs) noexcept override;
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int initialize() noexcept override;
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void terminate() 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 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) noexcept override;
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size_t getSerializationSize() const noexcept override;
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void serialize(void* buffer) const noexcept override;
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const char* getPluginType() const noexcept override;
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const char* getPluginVersion() const 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) noexcept override;
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void destroy() noexcept override;
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nvinfer1::IPluginV2DynamicExt* clone() const noexcept override;
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private:
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std::vector<int32_t> output_size_;
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std::string pooling_type_;
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};
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class AdaptivePool2dPluginCreator : public BaseCreator {
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public:
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AdaptivePool2dPluginCreator();
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~AdaptivePool2dPluginCreator() override = default;
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const char* getPluginName() const noexcept override;
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const char* getPluginVersion() const noexcept override;
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const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override;
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nvinfer1::IPluginV2DynamicExt* createPlugin(const char* name,
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const nvinfer1::PluginFieldCollection* fc) noexcept override;
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nvinfer1::IPluginV2DynamicExt* deserializePlugin(const char* name,
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const void* serialData,
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size_t serialLength) noexcept override;
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private:
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static nvinfer1::PluginFieldCollection mFC;
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static std::vector<nvinfer1::PluginField> mPluginAttributes;
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std::vector<int32_t> output_size_;
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std::string pooling_type_;
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};
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REGISTER_TENSORRT_PLUGIN(AdaptivePool2dPluginCreator);
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} // namespace fastdeploy
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