mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 08:37:06 +08:00
99 lines
3.6 KiB
C++
Executable File
99 lines
3.6 KiB
C++
Executable File
// 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 "fastdeploy/core/fd_type.h"
|
|
// https://github.com/PaddlePaddle/Paddle-Lite/issues/8290
|
|
#if (defined(WITH_LITE_STATIC) && defined(WITH_STATIC_LIB))
|
|
// Whether to output some warning messages when using the
|
|
// FastDepoy static library, default OFF. These messages
|
|
// are only reserve for debugging.
|
|
#if defined(WITH_STATIC_WARNING)
|
|
#warning You are using the FastDeploy static library. We will automatically add some registration codes for ops, kernels and passes for Paddle Lite. // NOLINT
|
|
#endif
|
|
#if !defined(WITH_STATIC_LIB_AT_COMPILING)
|
|
#include "paddle_use_ops.h" // NOLINT
|
|
#include "paddle_use_kernels.h" // NOLINT
|
|
#include "paddle_use_passes.h" // NOLINT
|
|
#endif
|
|
#endif
|
|
|
|
#include <iostream>
|
|
#include <memory>
|
|
#include <string>
|
|
#include <vector>
|
|
#include <map>
|
|
|
|
namespace fastdeploy {
|
|
|
|
/*! Paddle Lite power mode for mobile device. */
|
|
enum LitePowerMode {
|
|
LITE_POWER_HIGH = 0, ///< Use Lite Backend with high power mode
|
|
LITE_POWER_LOW = 1, ///< Use Lite Backend with low power mode
|
|
LITE_POWER_FULL = 2, ///< Use Lite Backend with full power mode
|
|
LITE_POWER_NO_BIND = 3, ///< Use Lite Backend with no bind power mode
|
|
LITE_POWER_RAND_HIGH = 4, ///< Use Lite Backend with rand high mode
|
|
LITE_POWER_RAND_LOW = 5 ///< Use Lite Backend with rand low power mode
|
|
};
|
|
|
|
/*! @brief Option object to configure Paddle Lite backend
|
|
*/
|
|
struct LiteBackendOption {
|
|
/// Paddle Lite power mode for mobile device.
|
|
int power_mode = 3;
|
|
// Number of threads while use CPU
|
|
int cpu_threads = 1;
|
|
/// Enable use half precision
|
|
bool enable_fp16 = false;
|
|
// Inference device, Paddle Lite support CPU/KUNLUNXIN/TIMVX/ASCEND
|
|
Device device = Device::CPU;
|
|
// Index of inference device
|
|
int device_id = 0;
|
|
|
|
/// kunlunxin_l3_workspace_size
|
|
int kunlunxin_l3_workspace_size = 0xfffc00;
|
|
/// kunlunxin_locked
|
|
bool kunlunxin_locked = false;
|
|
/// kunlunxin_autotune
|
|
bool kunlunxin_autotune = true;
|
|
/// kunlunxin_autotune_file
|
|
std::string kunlunxin_autotune_file = "";
|
|
/// kunlunxin_precision
|
|
std::string kunlunxin_precision = "int16";
|
|
/// kunlunxin_adaptive_seqlen
|
|
bool kunlunxin_adaptive_seqlen = false;
|
|
/// kunlunxin_enable_multi_stream
|
|
bool kunlunxin_enable_multi_stream = false;
|
|
|
|
/// Optimized model dir for CxxConfig
|
|
std::string optimized_model_dir = "";
|
|
/// nnadapter_subgraph_partition_config_path
|
|
std::string nnadapter_subgraph_partition_config_path = "";
|
|
/// nnadapter_subgraph_partition_config_buffer
|
|
std::string nnadapter_subgraph_partition_config_buffer = "";
|
|
/// nnadapter_context_properties
|
|
std::string nnadapter_context_properties = "";
|
|
/// nnadapter_model_cache_dir
|
|
std::string nnadapter_model_cache_dir = "";
|
|
/// nnadapter_mixed_precision_quantization_config_path
|
|
std::string nnadapter_mixed_precision_quantization_config_path = "";
|
|
/// nnadapter_dynamic_shape_info
|
|
std::map<std::string, std::vector<std::vector<int64_t>>>
|
|
nnadapter_dynamic_shape_info = {{"", {{0}}}};
|
|
/// nnadapter_device_names
|
|
std::vector<std::string> nnadapter_device_names = {};
|
|
};
|
|
} // namespace fastdeploy
|