From 1a69ef0a3cef1575e34522d5ef8a67312223c91c Mon Sep 17 00:00:00 2001 From: yuzhenhua Date: Thu, 27 May 2021 15:09:52 +0800 Subject: [PATCH] ascend310 inference for xception --- model_zoo/official/cv/xception/README.md | 37 +++++ .../xception/ascend310_infer/CMakeLists.txt | 14 ++ .../cv/xception/ascend310_infer/build.sh | 23 +++ .../cv/xception/ascend310_infer/inc/utils.h | 32 ++++ .../cv/xception/ascend310_infer/src/main.cc | 154 ++++++++++++++++++ .../cv/xception/ascend310_infer/src/utils.cc | 147 +++++++++++++++++ model_zoo/official/cv/xception/export.py | 8 +- model_zoo/official/cv/xception/postprocess.py | 77 +++++++++ .../cv/xception/scripts/run_infer_310.sh | 107 ++++++++++++ 9 files changed, 595 insertions(+), 4 deletions(-) create mode 100644 model_zoo/official/cv/xception/ascend310_infer/CMakeLists.txt create mode 100644 model_zoo/official/cv/xception/ascend310_infer/build.sh create mode 100644 model_zoo/official/cv/xception/ascend310_infer/inc/utils.h create mode 100644 model_zoo/official/cv/xception/ascend310_infer/src/main.cc create mode 100644 model_zoo/official/cv/xception/ascend310_infer/src/utils.cc create mode 100644 model_zoo/official/cv/xception/postprocess.py create mode 100755 model_zoo/official/cv/xception/scripts/run_infer_310.sh diff --git a/model_zoo/official/cv/xception/README.md b/model_zoo/official/cv/xception/README.md index 458f530371d..02094f26817 100644 --- a/model_zoo/official/cv/xception/README.md +++ b/model_zoo/official/cv/xception/README.md @@ -18,6 +18,9 @@ - [Usage](#usage-1) - [Launch](#launch-1) - [Result](#result-1) + - [Export Process](#Export-process) + - [Inference Process](#Inference-process) + - [Inference](#Inference) - [Model description](#model-description) - [Performance](#performance) - [Training Performance](#training-performance) @@ -73,12 +76,14 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil . └─Xception ├─README.md + ├─ascend310_infer #application for 310 inference ├─scripts ├─run_standalone_train.sh # launch standalone training with ascend platform(1p) ├─run_distribute_train.sh # launch distributed training with ascend platform(8p) ├─run_train_gpu_fp32.sh # launch standalone or distributed fp32 training with gpu platform(1p or 8p) ├─run_train_gpu_fp16.sh # launch standalone or distributed fp16 training with gpu platform(1p or 8p) ├─run_eval.sh # launch evaluating with ascend platform + ├─run_infer_310.sh # shell script for 310 inference └─run_eval_gpu.sh # launch evaluating with gpu platform ├─src ├─config.py # parameter configuration @@ -87,6 +92,7 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil ├─loss.py # Customized CrossEntropy loss function └─lr_generator.py # learning rate generator ├─train.py # train net + ├─postprogress.py # post process for 310 inference ├─export.py # export net └─eval.py # eval net @@ -176,6 +182,9 @@ sh scripts/run_train_gpu_fp16.sh 1 DATASET_PATH PRETRAINED_CKPT_PATH(optional) # infer example sh run_eval_gpu.sh DEVICE_ID DATASET_PATH CHECKPOINT_PATH + +#ascend310 infer example +sh run_infer_310.sh MINDIR_PATH DATA_PATH LABEL_FILE DEVICE_ID ``` > Notes: RANK_TABLE_FILE can refer to [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/distributed_training_ascend.html), and the device_ip can be got as [Link](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools). @@ -274,6 +283,34 @@ result: {'Loss': 1.7797744848789312, 'Top_1_Acc': 0.7985777243589743, 'Top_5_Acc result: {'Loss': 1.7846775874590903, 'Top_1_Acc': 0.798735595390525, 'Top_5_Acc': 0.9498439500640204} ``` +## [Export process](#contents) + +```shell +python export.py --ckpt_file [CKPT_PATH] --device_target [DEVICE_TARGET] --file_format[EXPORT_FORMAT] --batch_size [BATCH_SIZE] +``` + +`EXPORT_FORMAT` should be in ["AIR", "MINDIR"] + +## [Inference process](#contents) + +### Inference + +Before performing inference, we need to export model first. Air model can only be exported in Ascend 910 environment, mindir model can be exported in any environment. +Current batch_ size can only be set to 1. + +```shell +# Ascend310 inference +bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [LABEL_FILE] [DEVICE_ID] +``` + +-Note: the Imagenet data set is used in densnet121 network. The label of the picture is the number from 0 after sorting the folder. + +Inference result will be stored in the script path, you can find result like the followings in acc.log. + +```shell +Top_1_Acc: 0.79886%, Top_5_Acc: 0.94882% +``` + # [Model description](#contents) ## [Performance](#contents) diff --git a/model_zoo/official/cv/xception/ascend310_infer/CMakeLists.txt b/model_zoo/official/cv/xception/ascend310_infer/CMakeLists.txt new file mode 100644 index 00000000000..ee3c8544734 --- /dev/null +++ b/model_zoo/official/cv/xception/ascend310_infer/CMakeLists.txt @@ -0,0 +1,14 @@ +cmake_minimum_required(VERSION 3.14.1) +project(Ascend310Infer) +add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0) +set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O0 -g -std=c++17 -Werror -Wall -fPIE -Wl,--allow-shlib-undefined") +set(PROJECT_SRC_ROOT ${CMAKE_CURRENT_LIST_DIR}/) +option(MINDSPORE_PATH "mindspore install path" "") +include_directories(${MINDSPORE_PATH}) +include_directories(${MINDSPORE_PATH}/include) +include_directories(${PROJECT_SRC_ROOT}) +find_library(MS_LIB libmindspore.so ${MINDSPORE_PATH}/lib) +file(GLOB_RECURSE MD_LIB ${MINDSPORE_PATH}/_c_dataengine*) + +add_executable(main src/main.cc src/utils.cc) +target_link_libraries(main ${MS_LIB} ${MD_LIB} gflags) diff --git a/model_zoo/official/cv/xception/ascend310_infer/build.sh b/model_zoo/official/cv/xception/ascend310_infer/build.sh new file mode 100644 index 00000000000..770a8851efa --- /dev/null +++ b/model_zoo/official/cv/xception/ascend310_infer/build.sh @@ -0,0 +1,23 @@ +#!/bin/bash +# Copyright 2021 Huawei Technologies Co., Ltd +# +# 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. +# ============================================================================ + +if [ ! -d out ]; then + mkdir out +fi +cd out || exit +cmake .. \ + -DMINDSPORE_PATH="`pip show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`" +make diff --git a/model_zoo/official/cv/xception/ascend310_infer/inc/utils.h b/model_zoo/official/cv/xception/ascend310_infer/inc/utils.h new file mode 100644 index 00000000000..abeb8fcbf11 --- /dev/null +++ b/model_zoo/official/cv/xception/ascend310_infer/inc/utils.h @@ -0,0 +1,32 @@ +/** + * Copyright 2021 Huawei Technologies Co., Ltd + * + * 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. + */ + +#ifndef MINDSPORE_INFERENCE_UTILS_H_ +#define MINDSPORE_INFERENCE_UTILS_H_ + +#include +#include +#include +#include +#include +#include "include/api/types.h" + +std::vector GetAllFiles(std::string_view dirName); +DIR *OpenDir(std::string_view dirName); +std::string RealPath(std::string_view path); +mindspore::MSTensor ReadFileToTensor(const std::string &file); +int WriteResult(const std::string& imageFile, const std::vector &outputs); +#endif diff --git a/model_zoo/official/cv/xception/ascend310_infer/src/main.cc b/model_zoo/official/cv/xception/ascend310_infer/src/main.cc new file mode 100644 index 00000000000..ad8d871cea9 --- /dev/null +++ b/model_zoo/official/cv/xception/ascend310_infer/src/main.cc @@ -0,0 +1,154 @@ +/** + * Copyright 2021 Huawei Technologies Co., Ltd + * + * 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. + */ + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "../inc/utils.h" +#include "include/dataset/execute.h" +#include "include/dataset/transforms.h" +#include "include/dataset/vision.h" +#include "include/dataset/vision_ascend.h" +#include "include/api/types.h" +#include "include/api/model.h" +#include "include/api/serialization.h" +#include "include/api/context.h" + +using mindspore::Serialization; +using mindspore::Model; +using mindspore::Context; +using mindspore::Status; +using mindspore::ModelType; +using mindspore::Graph; +using mindspore::GraphCell; +using mindspore::kSuccess; +using mindspore::MSTensor; +using mindspore::DataType; +using mindspore::dataset::Execute; +using mindspore::dataset::TensorTransform; +using mindspore::dataset::vision::Decode; +using mindspore::dataset::vision::Resize; +using mindspore::dataset::vision::CenterCrop; +using mindspore::dataset::vision::Normalize; +using mindspore::dataset::vision::HWC2CHW; + +using mindspore::dataset::transforms::TypeCast; + + +DEFINE_string(model_path, "", "model path"); +DEFINE_string(dataset_path, ".", "dataset path"); +DEFINE_int32(device_id, 0, "device id"); + +int main(int argc, char **argv) { + gflags::ParseCommandLineFlags(&argc, &argv, true); + if (RealPath(FLAGS_model_path).empty()) { + std::cout << "Invalid model" << std::endl; + return 1; + } + + auto context = std::make_shared(); + auto ascend310_info = std::make_shared(); + ascend310_info->SetDeviceID(FLAGS_device_id); + context->MutableDeviceInfo().push_back(ascend310_info); + + Graph graph; + Status ret = Serialization::Load(FLAGS_model_path, ModelType::kMindIR, &graph); + if (ret != kSuccess) { + std::cout << "Load model failed." << std::endl; + return 1; + } + + Model model; + ret = model.Build(GraphCell(graph), context); + if (ret != kSuccess) { + std::cout << "ERROR: Build failed." << std::endl; + return 1; + } + + std::vector modelInputs = model.GetInputs(); + + auto all_files = GetAllFiles(FLAGS_dataset_path); + if (all_files.empty()) { + std::cout << "ERROR: no input data." << std::endl; + return 1; + } + + std::shared_ptr decode(new Decode()); + std::shared_ptr resize(new Resize({320})); + std::shared_ptr centerCrop(new CenterCrop({299})); + std::shared_ptr normalize(new Normalize({127.5, 127.5, 127.5}, {127.5, 127.5, 127.5})); + std::shared_ptr hwc2chw(new HWC2CHW()); + + mindspore::dataset::Execute transform({decode, resize, centerCrop, normalize, hwc2chw}); + + std::map costTime_map; + + size_t size = all_files.size(); + for (size_t i = 0; i < size; ++i) { + struct timeval start; + struct timeval end; + double startTime_ms; + double endTime_ms; + std::vector inputs; + std::vector outputs; + + std::cout << "Start predict input files:" << all_files[i] << std::endl; + mindspore::MSTensor image = ReadFileToTensor(all_files[i]); + + transform(image, &image); + + inputs.emplace_back(modelInputs[0].Name(), modelInputs[0].DataType(), modelInputs[0].Shape(), + image.Data().get(), image.DataSize()); + + gettimeofday(&start, NULL); + model.Predict(inputs, &outputs); + gettimeofday(&end, NULL); + + startTime_ms = (1.0 * start.tv_sec * 1000000 + start.tv_usec) / 1000; + endTime_ms = (1.0 * end.tv_sec * 1000000 + end.tv_usec) / 1000; + costTime_map.insert(std::pair(startTime_ms, endTime_ms)); + WriteResult(all_files[i], outputs); + } + double average = 0.0; + int infer_cnt = 0; + for (auto iter = costTime_map.begin(); iter != costTime_map.end(); iter++) { + double diff = 0.0; + diff = iter->second - iter->first; + average += diff; + infer_cnt++; + } + + average = average / infer_cnt; + + std::stringstream timeCost; + timeCost << "NN inference cost average time: "<< average << " ms of infer_count " << infer_cnt << std::endl; + std::cout << "NN inference cost average time: "<< average << "ms of infer_count " << infer_cnt << std::endl; + + std::string file_name = "./time_Result" + std::string("/test_perform_static.txt"); + std::ofstream file_stream(file_name.c_str(), std::ios::trunc); + file_stream << timeCost.str(); + file_stream.close(); + costTime_map.clear(); + return 0; +} diff --git a/model_zoo/official/cv/xception/ascend310_infer/src/utils.cc b/model_zoo/official/cv/xception/ascend310_infer/src/utils.cc new file mode 100644 index 00000000000..d231193e799 --- /dev/null +++ b/model_zoo/official/cv/xception/ascend310_infer/src/utils.cc @@ -0,0 +1,147 @@ +/** + * Copyright 2021 Huawei Technologies Co., Ltd + * + * 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. + */ + +#include "inc/utils.h" + +#include +#include +#include + +using mindspore::MSTensor; +using mindspore::DataType; + +std::vector GetAllFiles(std::string_view dirName) { + struct dirent *filename; + DIR *dir = OpenDir(dirName); + if (dir == nullptr) { + return {}; + } + std::vector dirs; + std::vector files; + while ((filename = readdir(dir)) != nullptr) { + std::string dName = std::string(filename->d_name); + if (dName == "." || dName == "..") { + continue; + } else if (filename->d_type == DT_DIR) { + dirs.emplace_back(std::string(dirName) + "/" + filename->d_name); + } else if (filename->d_type == DT_REG) { + files.emplace_back(std::string(dirName) + "/" + filename->d_name); + } else { + continue; + } + } + + for (auto d : dirs) { + dir = OpenDir(d); + while ((filename = readdir(dir)) != nullptr) { + std::string dName = std::string(filename->d_name); + if (dName == "." || dName == ".." || filename->d_type != DT_REG) { + continue; + } + files.emplace_back(std::string(d) + "/" + filename->d_name); + } + } + std::sort(files.begin(), files.end()); + for (auto &f : files) { + std::cout << "image file: " << f << std::endl; + } + return files; +} + +int WriteResult(const std::string& imageFile, const std::vector &outputs) { + std::string homePath = "./result_Files"; + for (size_t i = 0; i < outputs.size(); ++i) { + size_t outputSize; + std::shared_ptr netOutput; + netOutput = outputs[i].Data(); + outputSize = outputs[i].DataSize(); + int pos = imageFile.rfind('/'); + std::string fileName(imageFile, pos + 1); + fileName.replace(fileName.find('.'), fileName.size() - fileName.find('.'), '_' + std::to_string(i) + ".bin"); + std::string outFileName = homePath + "/" + fileName; + FILE * outputFile = fopen(outFileName.c_str(), "wb"); + fwrite(netOutput.get(), outputSize, sizeof(char), outputFile); + fclose(outputFile); + outputFile = nullptr; + } + return 0; +} + +mindspore::MSTensor ReadFileToTensor(const std::string &file) { + if (file.empty()) { + std::cout << "Pointer file is nullptr" << std::endl; + return mindspore::MSTensor(); + } + + std::ifstream ifs(file); + if (!ifs.good()) { + std::cout << "File: " << file << " is not exist" << std::endl; + return mindspore::MSTensor(); + } + + if (!ifs.is_open()) { + std::cout << "File: " << file << "open failed" << std::endl; + return mindspore::MSTensor(); + } + + ifs.seekg(0, std::ios::end); + size_t size = ifs.tellg(); + mindspore::MSTensor buffer(file, mindspore::DataType::kNumberTypeUInt8, {static_cast(size)}, nullptr, size); + + ifs.seekg(0, std::ios::beg); + ifs.read(reinterpret_cast(buffer.MutableData()), size); + ifs.close(); + + return buffer; +} + + +DIR *OpenDir(std::string_view dirName) { + if (dirName.empty()) { + std::cout << " dirName is null ! " << std::endl; + return nullptr; + } + std::string realPath = RealPath(dirName); + struct stat s; + lstat(realPath.c_str(), &s); + if (!S_ISDIR(s.st_mode)) { + std::cout << "dirName is not a valid directory !" << std::endl; + return nullptr; + } + DIR *dir; + dir = opendir(realPath.c_str()); + if (dir == nullptr) { + std::cout << "Can not open dir " << dirName << std::endl; + return nullptr; + } + std::cout << "Successfully opened the dir " << dirName << std::endl; + return dir; +} + +std::string RealPath(std::string_view path) { + char realPathMem[PATH_MAX] = {0}; + char *realPathRet = nullptr; + realPathRet = realpath(path.data(), realPathMem); + + if (realPathRet == nullptr) { + std::cout << "File: " << path << " is not exist."; + return ""; + } + + std::string realPath(realPathMem); + std::cout << path << " realpath is: " << realPath << std::endl; + return realPath; +} diff --git a/model_zoo/official/cv/xception/export.py b/model_zoo/official/cv/xception/export.py index cfd89310e88..630cb60f672 100644 --- a/model_zoo/official/cv/xception/export.py +++ b/model_zoo/official/cv/xception/export.py @@ -23,13 +23,13 @@ from src.config import config_ascend, config_gpu parser = argparse.ArgumentParser(description="Image classification") parser.add_argument("--device_id", type=int, default=0, help="Device id") +parser.add_argument("--batch_size", type=int, default=1, help="batch size") parser.add_argument("--ckpt_file", type=str, required=True, help="xception ckpt file.") parser.add_argument("--width", type=int, default=299, help="input width") parser.add_argument("--height", type=int, default=299, help="input height") parser.add_argument("--file_name", type=str, default="xception", help="xception output file name.") -parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], - default="MINDIR", help="file format") -parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"], default="GPU", +parser.add_argument("--file_format", type=str, choices=["AIR", "MINDIR"], default="MINDIR", help="file format") +parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"], default="Ascend", help="device target") args = parser.parse_args() @@ -52,5 +52,5 @@ if __name__ == "__main__": load_param_into_net(net, param_dict) net.set_train(False) - image = Tensor(np.zeros([config.batch_size, 3, args.height, args.width], np.float32)) + image = Tensor(np.zeros([args.batch_size, 3, args.height, args.width], np.float32)) export(net, image, file_name=args.file_name, file_format=args.file_format) diff --git a/model_zoo/official/cv/xception/postprocess.py b/model_zoo/official/cv/xception/postprocess.py new file mode 100644 index 00000000000..9f9be89cdb7 --- /dev/null +++ b/model_zoo/official/cv/xception/postprocess.py @@ -0,0 +1,77 @@ +# Copyright 2021 Huawei Technologies Co., Ltd +# +# 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. +# ============================================================================ +'''post process for 310 inference''' +import os +import argparse +import numpy as np + +parser = argparse.ArgumentParser(description='post process for 310 inference') +parser.add_argument("--result_path", type=str, required=True, help="result file path") +parser.add_argument("--label_file", type=str, required=True, help="label file") +args = parser.parse_args() + +def get_top5_acc(top5_arg, gt_class): + sub_count = 0 + for top5, gt in zip(top5_arg, gt_class): + if gt in top5: + sub_count += 1 + return sub_count + +def read_label(label_file): + f = open(label_file, "r") + lines = f.readlines() + + img_label = {} + for line in lines: + img_id = line.split(":")[0] + label = line.split(":")[1] + img_label[img_id] = label + + return img_label + +def cal_acc(result_path, label_file): + img_label = read_label(label_file) + + img_tot = 0 + top1_correct = 0 + top5_correct = 0 + + files = os.listdir(result_path) + for file in files: + full_file_path = os.path.join(result_path, file) + if os.path.isfile(full_file_path): + result = np.fromfile(full_file_path, dtype=np.float32).reshape(1, 1000) + gt_classes = int(img_label[file[:-6]]) + + top1_output = np.argmax(result, (-1)) + top5_output = np.argsort(result)[:, -5:] + + t1_correct = np.equal(top1_output, gt_classes).sum() + top1_correct += t1_correct + top5_correct += get_top5_acc(top5_output, [gt_classes]) + img_tot += 1 + + results = [[top1_correct], [top5_correct], [img_tot]] + + results = np.array(results) + top1_correct = results[0, 0] + top5_correct = results[1, 0] + img_tot = results[2, 0] + acc1 = 100.0 * top1_correct / img_tot + acc5 = 100.0 * top5_correct / img_tot + print('Top_1_Acc={}%, Top_5_Acc={}%'.format(acc1, acc5)) + +if __name__ == "__main__": + cal_acc(args.result_path, args.label_file) diff --git a/model_zoo/official/cv/xception/scripts/run_infer_310.sh b/model_zoo/official/cv/xception/scripts/run_infer_310.sh new file mode 100755 index 00000000000..1230e319fa9 --- /dev/null +++ b/model_zoo/official/cv/xception/scripts/run_infer_310.sh @@ -0,0 +1,107 @@ +#!/bin/bash +# Copyright 2021 Huawei Technologies Co., Ltd +# +# 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. +# ============================================================================ + +if [[ $# -lt 3 || $# -gt 4 ]]; then + echo "Usage: sh run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [LABEL_FILE] [DEVICE_ID] + DEVICE_ID is optional, it can be set by environment variable device_id, otherwise the value is zero" +exit 1 +fi + +get_real_path(){ + if [ "${1:0:1}" == "/" ]; then + echo "$1" + else + echo "$(realpath -m $PWD/$1)" + fi +} + +model=$(get_real_path $1) +data_path=$(get_real_path $2) +label_file=$(get_real_path $3) +if [ $# == 4 ]; then + device_id=$4 +elif [ $# == 3 ]; then + if [ -z $device_id ]; then + device_id=0 + else + device_id=$device_id + fi +fi + +echo $model +echo $data_path +echo $label_file +echo $device_id + +export ASCEND_HOME=/usr/local/Ascend/ +if [ -d ${ASCEND_HOME}/ascend-toolkit ]; then + export PATH=$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/ascend-toolkit/latest/atc/bin:$PATH + export LD_LIBRARY_PATH=/usr/local/lib:$ASCEND_HOME/ascend-toolkit/latest/atc/lib64:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export TBE_IMPL_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp/op_impl/built-in/ai_core/tbe + export PYTHONPATH=${TBE_IMPL_PATH}:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp +else + export PATH=$ASCEND_HOME/atc/ccec_compiler/bin:$ASCEND_HOME/atc/bin:$PATH + export LD_LIBRARY_PATH=/usr/local/lib:$ASCEND_HOME/atc/lib64:$ASCEND_HOME/acllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export PYTHONPATH=$ASCEND_HOME/atc/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/opp +fi + +function compile_app() +{ + cd ../ascend310_infer || exit + if [ -f "Makefile" ]; then + make clean + fi + sh build.sh &> build.log + + if [ $? -ne 0 ]; then + echo "compile app code failed" + exit 1 + fi + cd - || exit +} + +function infer() +{ + if [ -d result_Files ]; then + rm -rf ./result_Files + fi + if [ -d time_Result ]; then + rm -rf ./time_Result + fi + mkdir result_Files + mkdir time_Result + ../ascend310_infer/out/main --model_path=$model --dataset_path=$data_path --device_id=$device_id &> infer.log + + if [ $? -ne 0 ]; then + echo "execute inference failed" + exit 1 + fi +} + +function cal_acc() +{ + python ../postprocess.py --label_file=$label_file --result_path=result_Files &> acc.log + if [ $? -ne 0 ]; then + echo "calculate accuracy failed" + exit 1 + fi +} + +compile_app +infer +cal_acc