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https://github.com/PaddlePaddle/FastDeploy.git
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76df90afc3
* Update all backends load model from buffer * Delete redundant code * Format code style * Format code style * Delete redundant code * Delete redundant code * Add some FDASSERTs * Update load model form memory when cloning engine * Update clone engine code * Update set_model_buffer api parameters with char pointer * Release memory buffer variables after finish init backends * Fix conflict * Fix bug
44 lines
1.4 KiB
C++
Executable File
44 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 <map>
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#include <string>
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#include <vector>
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namespace fastdeploy {
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struct TrtBackendOption {
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std::string model_file = ""; // Path of model file
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std::string params_file = ""; // Path of parameters file, can be empty
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// format of input model
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ModelFormat model_format = ModelFormat::AUTOREC;
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int gpu_id = 0;
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bool enable_fp16 = false;
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bool enable_int8 = 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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std::map<std::string, std::vector<int32_t>> max_shape;
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std::map<std::string, std::vector<int32_t>> min_shape;
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std::map<std::string, std::vector<int32_t>> opt_shape;
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std::string serialize_file = "";
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bool enable_pinned_memory = false;
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void* external_stream_ = nullptr;
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};
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} // namespace fastdeploy
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