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43 lines
1.8 KiB
C++
43 lines
1.8 KiB
C++
// 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/core/fd_type.h"
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#include <iostream>
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#include <memory>
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#include <string>
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#include <vector>
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#include <map>
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namespace fastdeploy {
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/*! @brief Option object to configure ONNX Runtime backend
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*/
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struct OrtBackendOption {
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/// Level of graph optimization, -1: mean default(Enable all the optimization strategy)/0: disable all the optimization strategy/1: enable basic strategy/2:enable extend strategy/99: enable all
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int graph_optimization_level = -1;
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/// Number of threads to execute the operator, -1: default
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int intra_op_num_threads = -1;
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/// Number of threads to execute the graph, -1: default. This parameter only will bring effects while the `OrtBackendOption::execution_mode` set to 1.
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int inter_op_num_threads = -1;
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/// Execution mode for the graph, -1: default(Sequential mode)/0: Sequential mode, execute the operators in graph one by one. /1: Parallel mode, execute the operators in graph parallelly.
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int execution_mode = -1;
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// Inference device, OrtBackend supports CPU/GPU
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Device device = Device::CPU;
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// Inference device id
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int device_id = 0;
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void* external_stream_ = nullptr;
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};
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} // namespace fastdeploy
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