mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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2613e9c5d0
* [Android] support fastdeploy build with static deps(70Mb->17~19Mb) * [Android] support fastdeploy build with static deps(60Mb->29~30Mb) * fixed ci * fixed ci * [staticlib] support fd android static lib * [static] optimize bundle_static_library func * [staticlib] add api_helpers.h -> staticlib headers * [staticlib] add api_helpers.h -> staticlib headers * [staticlib] add api_helpers.h -> staticlib headers * [staticlib] Fixed Paddle Lite paddle_use_kernels.h to support fd armv7 static lib * [staticlib] Add strip -> fd static lib target * [staticlib] optimize bundle_static_library func * [staticlib] add strip for fd static lib on mac osx * [staticlib] move api_helpers -> lite/option * [staticlib] optimize bundle_static_library * [staticlib] add Android limit
93 lines
3.3 KiB
C++
Executable File
93 lines
3.3 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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// https://github.com/PaddlePaddle/Paddle-Lite/issues/8290
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#if (defined(WITH_LITE_STATIC) && defined(WITH_STATIC_LIB))
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// Whether to output some warning messages when using the
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// FastDepoy static library, default OFF. These messages
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// are only reserve for debugging.
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#if defined(WITH_STATIC_WARNING)
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#warning You are using the FastDeploy static library. \
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We will automatically add some registration codes for \
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ops, kernels and passes for Paddle Lite.
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#endif
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#if !defined(WITH_STATIC_LIB_AT_COMPILING)
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#include "paddle_use_ops.h" // NOLINT
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#include "paddle_use_kernels.h" // NOLINT
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#include "paddle_use_passes.h" // NOLINT
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#endif
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#endif
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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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/*! Paddle Lite power mode for mobile device. */
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enum LitePowerMode {
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LITE_POWER_HIGH = 0, ///< Use Lite Backend with high power mode
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LITE_POWER_LOW = 1, ///< Use Lite Backend with low power mode
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LITE_POWER_FULL = 2, ///< Use Lite Backend with full power mode
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LITE_POWER_NO_BIND = 3, ///< Use Lite Backend with no bind power mode
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LITE_POWER_RAND_HIGH = 4, ///< Use Lite Backend with rand high mode
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LITE_POWER_RAND_LOW = 5 ///< Use Lite Backend with rand low power mode
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};
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struct LiteBackendOption {
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// cpu num threads
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int threads = 1;
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// lite power mode
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// 0: LITE_POWER_HIGH
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// 1: LITE_POWER_LOW
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// 2: LITE_POWER_FULL
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// 3: LITE_POWER_NO_BIND
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// 4: LITE_POWER_RAND_HIGH
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// 5: LITE_POWER_RAND_LOW
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int power_mode = 3;
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// enable fp16
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bool enable_fp16 = false;
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// enable int8
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bool enable_int8 = false;
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// optimized model dir for CxxConfig
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std::string optimized_model_dir = "";
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// TODO(qiuyanjun): support more options for lite backend.
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// Such as fp16, different device target (kARM/kXPU/kNPU/...)
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std::string nnadapter_subgraph_partition_config_path = "";
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std::string nnadapter_subgraph_partition_config_buffer = "";
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std::string nnadapter_context_properties = "";
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std::string nnadapter_model_cache_dir = "";
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std::string nnadapter_mixed_precision_quantization_config_path = "";
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std::map<std::string, std::vector<std::vector<int64_t>>>
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nnadapter_dynamic_shape_info = {{"", {{0}}}};
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std::vector<std::string> nnadapter_device_names = {};
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bool enable_timvx = false;
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bool enable_ascend = false;
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bool enable_kunlunxin = false;
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int device_id = 0;
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int kunlunxin_l3_workspace_size = 0xfffc00;
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bool kunlunxin_locked = false;
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bool kunlunxin_autotune = true;
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std::string kunlunxin_autotune_file = "";
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std::string kunlunxin_precision = "int16";
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bool kunlunxin_adaptive_seqlen = false;
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bool kunlunxin_enable_multi_stream = false;
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};
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} // namespace fastdeploy
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