mirror of
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
78 lines
2.0 KiB
C++
78 lines
2.0 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 "fastdeploy/runtime/backends/tensorrt/option.h"
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namespace fastdeploy {
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struct IpuOption {
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int ipu_device_num;
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int ipu_micro_batch_size;
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bool ipu_enable_pipelining;
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int ipu_batches_per_step;
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bool ipu_enable_fp16;
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int ipu_replica_num;
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float ipu_available_memory_proportion;
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bool ipu_enable_half_partial;
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};
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struct PaddleBackendOption {
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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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// load model and paramters from memory
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bool model_from_memory_ = false;
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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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bool enable_mkldnn = true;
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bool enable_log_info = false;
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bool enable_trt = false;
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TrtBackendOption trt_option;
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bool collect_shape = false;
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std::vector<std::string> trt_disabled_ops_{};
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#ifdef WITH_IPU
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bool use_ipu = true;
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IpuOption ipu_option;
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#else
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bool use_ipu = false;
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#endif
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int mkldnn_cache_size = 1;
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int cpu_thread_num = 8;
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// initialize memory size(MB) for GPU
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int gpu_mem_init_size = 100;
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// gpu device id
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int gpu_id = 0;
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bool enable_pinned_memory = false;
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void* external_stream_ = nullptr;
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std::vector<std::string> delete_pass_names = {};
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};
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} // namespace fastdeploy
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