mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 08:37:06 +08:00
94 lines
2.8 KiB
C++
94 lines
2.8 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#pragma once
|
|
|
|
#include <iostream>
|
|
#include <memory>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include "fastdeploy/backends/backend.h"
|
|
#include "onnxruntime_cxx_api.h" // NOLINT
|
|
|
|
namespace fastdeploy {
|
|
|
|
struct OrtValueInfo {
|
|
std::string name;
|
|
std::vector<int64_t> shape;
|
|
ONNXTensorElementDataType dtype;
|
|
};
|
|
|
|
struct OrtBackendOption {
|
|
// -1 means default
|
|
// 0: ORT_DISABLE_ALL
|
|
// 1: ORT_ENABLE_BASIC
|
|
// 2: ORT_ENABLE_EXTENDED
|
|
// 99: ORT_ENABLE_ALL (enable some custom optimizations e.g bert)
|
|
int graph_optimization_level = -1;
|
|
int intra_op_num_threads = -1;
|
|
int inter_op_num_threads = -1;
|
|
// 0: ORT_SEQUENTIAL
|
|
// 1: ORT_PARALLEL
|
|
int execution_mode = -1;
|
|
bool use_gpu = false;
|
|
int gpu_id = 0;
|
|
|
|
// inside parameter, maybe remove next version
|
|
bool remove_multiclass_nms_ = false;
|
|
std::map<std::string, std::string> custom_op_info_;
|
|
};
|
|
|
|
class OrtBackend : public BaseBackend {
|
|
public:
|
|
OrtBackend() {}
|
|
virtual ~OrtBackend() = default;
|
|
|
|
void BuildOption(const OrtBackendOption& option);
|
|
|
|
bool InitFromPaddle(const std::string& model_file,
|
|
const std::string& params_file,
|
|
const OrtBackendOption& option = OrtBackendOption(),
|
|
bool verbose = false);
|
|
|
|
bool InitFromOnnx(const std::string& model_file,
|
|
const OrtBackendOption& option = OrtBackendOption(),
|
|
bool from_memory_buffer = false);
|
|
|
|
bool Infer(std::vector<FDTensor>& inputs, std::vector<FDTensor>* outputs);
|
|
|
|
int NumInputs() const { return inputs_desc_.size(); }
|
|
|
|
int NumOutputs() const { return outputs_desc_.size(); }
|
|
|
|
TensorInfo GetInputInfo(int index);
|
|
TensorInfo GetOutputInfo(int index);
|
|
static std::vector<OrtCustomOp*> custom_operators_;
|
|
void InitCustomOperators();
|
|
|
|
private:
|
|
Ort::Env env_;
|
|
Ort::Session session_{nullptr};
|
|
Ort::SessionOptions session_options_;
|
|
std::shared_ptr<Ort::IoBinding> binding_;
|
|
std::vector<OrtValueInfo> inputs_desc_;
|
|
std::vector<OrtValueInfo> outputs_desc_;
|
|
#ifndef NON_64_PLATFORM
|
|
Ort::CustomOpDomain custom_op_domain_ = Ort::CustomOpDomain("Paddle");
|
|
#endif
|
|
OrtBackendOption option_;
|
|
void CopyToCpu(const Ort::Value& value, FDTensor* tensor);
|
|
};
|
|
} // namespace fastdeploy
|