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https://github.com/PaddlePaddle/FastDeploy.git
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49 lines
1.4 KiB
C++
Executable File
49 lines
1.4 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/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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namespace fastdeploy {
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struct PorosBackendOption {
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#ifdef WITH_GPU
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bool use_gpu = true;
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#else
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bool use_gpu = false;
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#endif
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int gpu_id = 0;
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bool long_to_int = true;
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// There is calculation precision in tf32 mode on A10, it can bring some
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// performance improvement, but there may be diff
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bool use_nvidia_tf32 = false;
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// Threshold for the number of non-const ops
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int32_t unconst_ops_thres = -1;
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std::string poros_file = "";
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std::vector<FDDataType> prewarm_datatypes = {FDDataType::FP32};
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// TRT options
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bool enable_fp16 = false;
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bool enable_int8 = false;
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bool is_dynamic = false;
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size_t max_batch_size = 32;
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size_t max_workspace_size = 1 << 30;
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};
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} // namespace fastdeploy
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