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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
90 lines
2.5 KiB
C++
Executable File
90 lines
2.5 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 <map>
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#include <string>
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#include <algorithm>
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#include <cmath>
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#include "fastdeploy/core/fd_tensor.h"
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#include "fastdeploy/utils/utils.h"
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#ifndef NON_64_PLATFORM
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#include "onnxruntime_cxx_api.h" // NOLINT
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#ifdef WITH_GPU
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#include "fastdeploy/backends/op_cuda_kernels/adaptive_pool2d_kernel.h"
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#endif
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namespace fastdeploy {
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struct AdaptivePool2dKernel {
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protected:
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std::string pooling_type_ = "avg";
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std::vector<int64_t> output_size_ = {};
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Ort::CustomOpApi ort_;
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void* compute_stream_;
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const char* provider_;
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public:
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AdaptivePool2dKernel(Ort::CustomOpApi ort,
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const OrtKernelInfo* info,
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const char* provider)
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: ort_(ort) {
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GetAttribute(info);
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provider_ = provider;
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}
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void GetAttribute(const OrtKernelInfo* info);
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void Compute(OrtKernelContext* context);
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void CpuAdaptivePool(const std::vector<int64_t>& input_size,
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const std::vector<int64_t>& output_size,
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const float* input_data,
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float* output_data);
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};
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struct AdaptivePool2dOp
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: Ort::CustomOpBase<AdaptivePool2dOp, AdaptivePool2dKernel> {
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explicit AdaptivePool2dOp(const char* provider) : provider_(provider) {}
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void* CreateKernel(Ort::CustomOpApi api, const OrtKernelInfo* info) const {
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return new AdaptivePool2dKernel(api, info, provider_);
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}
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const char* GetName() const { return "AdaptivePool2d"; }
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size_t GetInputTypeCount() const { return 1; }
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ONNXTensorElementDataType GetInputType(size_t index) const {
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return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
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}
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size_t GetOutputTypeCount() const { return 1; }
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ONNXTensorElementDataType GetOutputType(size_t index) const {
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return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
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}
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const char* GetExecutionProviderType() const {
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return provider_;
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}
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private:
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const char* provider_;
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};
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} // namespace fastdeploy
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#endif
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