From 14225dfb836306aeb5cae539c5825f5e18d70f5a Mon Sep 17 00:00:00 2001 From: unknown Date: Thu, 10 Jun 2021 11:15:42 +0800 Subject: [PATCH] autodis 310 infer new file: research/recommend/autodis/scripts/run_infer_310.sh --- model_zoo/research/cv/advanced_east/README.md | 2 +- model_zoo/research/cv/advanced_east/export.py | 8 +- .../{requirement.txt.txt => requirement.txt} | 0 .../research/recommend/autodis/README.md | 31 ++++ .../autodis/ascend310_infer/CMakeLists.txt | 14 ++ .../autodis/ascend310_infer/build.sh | 29 ++++ .../autodis/ascend310_infer/inc/utils.h | 32 ++++ .../autodis/ascend310_infer/src/main.cc | 142 ++++++++++++++++++ .../autodis/ascend310_infer/src/utils.cc | 129 ++++++++++++++++ .../research/recommend/autodis/export.py | 1 - .../research/recommend/autodis/postprocess.py | 52 +++++++ .../research/recommend/autodis/preprocess.py | 57 +++++++ .../autodis/scripts/run_infer_310.sh | 122 +++++++++++++++ 13 files changed, 613 insertions(+), 6 deletions(-) rename model_zoo/research/cv/advanced_east/{requirement.txt.txt => requirement.txt} (100%) create mode 100644 model_zoo/research/recommend/autodis/ascend310_infer/CMakeLists.txt create mode 100644 model_zoo/research/recommend/autodis/ascend310_infer/build.sh create mode 100644 model_zoo/research/recommend/autodis/ascend310_infer/inc/utils.h create mode 100644 model_zoo/research/recommend/autodis/ascend310_infer/src/main.cc create mode 100644 model_zoo/research/recommend/autodis/ascend310_infer/src/utils.cc create mode 100644 model_zoo/research/recommend/autodis/postprocess.py create mode 100644 model_zoo/research/recommend/autodis/preprocess.py create mode 100644 model_zoo/research/recommend/autodis/scripts/run_infer_310.sh diff --git a/model_zoo/research/cv/advanced_east/README.md b/model_zoo/research/cv/advanced_east/README.md index 6967b3fb56b..9b871ae0cf7 100644 --- a/model_zoo/research/cv/advanced_east/README.md +++ b/model_zoo/research/cv/advanced_east/README.md @@ -214,7 +214,7 @@ python export.py --ckpt_file [CKPT_PATH] --file_name [FILE_NAME] --file_format [ ``` The ckpt_file parameter is required, -`EXPORT_FORMAT` should be in ["AIR", "MINDIR"] +`file_format` should be in ["AIR", "MINDIR"] ### Infer on Ascend310 diff --git a/model_zoo/research/cv/advanced_east/export.py b/model_zoo/research/cv/advanced_east/export.py index a1e23a2d43c..471baad1bda 100644 --- a/model_zoo/research/cv/advanced_east/export.py +++ b/model_zoo/research/cv/advanced_east/export.py @@ -25,10 +25,10 @@ parser = argparse.ArgumentParser(description='adveast export') 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, default="./saved_model/Fin0_9-10_2250.ckpt", help="Checkpoint file path.") -parser.add_argument("--file_name", type=str, default="./out.om", help="output file name.") -parser.add_argument('--width', type=int, default=256, help='input width') -parser.add_argument('--height', type=int, default=256, help='input height') -parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], default="AIR", help="file format") +parser.add_argument("--file_name", type=str, default="AdvancedEast", help="output file name.") +parser.add_argument('--width', type=int, default=448, help='input width') +parser.add_argument('--height', type=int, default=448, help='input height') +parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], default="MINDIR", help="file format") parser.add_argument("--device_target", type=str, default="Ascend", choices=["Ascend", "GPU"], help="device target(default: Ascend)") args = parser.parse_args() diff --git a/model_zoo/research/cv/advanced_east/requirement.txt.txt b/model_zoo/research/cv/advanced_east/requirement.txt similarity index 100% rename from model_zoo/research/cv/advanced_east/requirement.txt.txt rename to model_zoo/research/cv/advanced_east/requirement.txt diff --git a/model_zoo/research/recommend/autodis/README.md b/model_zoo/research/recommend/autodis/README.md index 18e39c358ee..84bd2ff780e 100644 --- a/model_zoo/research/recommend/autodis/README.md +++ b/model_zoo/research/recommend/autodis/README.md @@ -12,6 +12,10 @@ - [Training](#training) - [Evaluation Process](#evaluation-process) - [Evaluation](#evaluation) + - [Inference Process](#inference-process) + - [Export MindIR](#export-mindir) + - [Infer on Ascend310](#infer-on-ascend310) + - [result](#result) - [Model Description](#model-description) - [Performance](#performance) - [Evaluation Performance](#evaluation-performance) @@ -183,6 +187,33 @@ Parameters for both training and evaluation can be set in config.py {'result': {'AUC': 0.8109881454077731, 'eval_time': 27.72783327102661s}} ``` +## Inference Process + +### [Export MindIR](#contents) + +```shell +python export.py --ckpt_file [CKPT_PATH] --file_name [FILE_NAME] --file_format [FILE_FORMAT] +``` + +The ckpt_file parameter is required, +`file_format` should be in ["AIR", "MINDIR"] + +### Infer on Ascend310 + +Before performing inference, the mindir file must be exported by `export.py` script. We only provide an example of inference using MINDIR model. + +```shell +# Ascend310 inference +bash run_infer_310.sh [MINDIR_PATH] [NEED_PREPROCESS] [DEVICE_ID] +``` + +`NEED_PREPROCESS` means weather need preprocess or not, it's value is 'y' or 'n'. +`DEVICE_ID` is optional, default value is 0. + +### result + +Inference result is saved in current path, you can find result in acc.log file. + # [Model Description](#contents) ## [Performance](#contents) diff --git a/model_zoo/research/recommend/autodis/ascend310_infer/CMakeLists.txt b/model_zoo/research/recommend/autodis/ascend310_infer/CMakeLists.txt new file mode 100644 index 00000000000..170e6c5275e --- /dev/null +++ b/model_zoo/research/recommend/autodis/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} -O2 -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/research/recommend/autodis/ascend310_infer/build.sh b/model_zoo/research/recommend/autodis/ascend310_infer/build.sh new file mode 100644 index 00000000000..285514e19f2 --- /dev/null +++ b/model_zoo/research/recommend/autodis/ascend310_infer/build.sh @@ -0,0 +1,29 @@ +#!/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 + rm -rf out +fi + +mkdir out +cd out || exit + +if [ -f "Makefile" ]; then + make clean +fi + +cmake .. \ + -DMINDSPORE_PATH="`pip3.7 show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`" +make diff --git a/model_zoo/research/recommend/autodis/ascend310_infer/inc/utils.h b/model_zoo/research/recommend/autodis/ascend310_infer/inc/utils.h new file mode 100644 index 00000000000..efebe03a8c1 --- /dev/null +++ b/model_zoo/research/recommend/autodis/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/research/recommend/autodis/ascend310_infer/src/main.cc b/model_zoo/research/recommend/autodis/ascend310_infer/src/main.cc new file mode 100644 index 00000000000..ca105f8aab1 --- /dev/null +++ b/model_zoo/research/recommend/autodis/ascend310_infer/src/main.cc @@ -0,0 +1,142 @@ +/** + * 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 "include/api/model.h" +#include "include/api/context.h" +#include "include/api/types.h" +#include "include/api/serialization.h" +#include "include/dataset/execute.h" +#include "include/dataset/vision.h" +#include "inc/utils.h" + +using mindspore::Context; +using mindspore::Serialization; +using mindspore::Model; +using mindspore::Status; +using mindspore::MSTensor; +using mindspore::dataset::Execute; +using mindspore::ModelType; +using mindspore::GraphCell; +using mindspore::kSuccess; + +DEFINE_string(mindir_path, "", "mindir path"); +DEFINE_string(input0_path, ".", "input0 path"); +DEFINE_string(input1_path, ".", "input1 path"); +DEFINE_string(input2_path, ".", "input2 path"); +DEFINE_int32(device_id, 0, "device id"); + +int main(int argc, char **argv) { + gflags::ParseCommandLineFlags(&argc, &argv, true); + if (RealPath(FLAGS_mindir_path).empty()) { + std::cout << "Invalid mindir" << std::endl; + return 1; + } + + auto context = std::make_shared(); + auto ascend310 = std::make_shared(); + ascend310->SetDeviceID(FLAGS_device_id); + ascend310->SetPrecisionMode("allow_fp32_to_fp16"); + ascend310->SetOpSelectImplMode("high_precision"); + context->MutableDeviceInfo().push_back(ascend310); + mindspore::Graph graph; + Serialization::Load(FLAGS_mindir_path, ModelType::kMindIR, &graph); + + Model model; + Status ret = model.Build(GraphCell(graph), context); + if (ret != kSuccess) { + std::cout << "ERROR: Build failed." << std::endl; + return 1; + } + + std::vector model_inputs = model.GetInputs(); + if (model_inputs.empty()) { + std::cout << "Invalid model, inputs is empty." << std::endl; + return 1; + } + + auto input0_files = GetAllFiles(FLAGS_input0_path); + auto input1_files = GetAllFiles(FLAGS_input1_path); + auto input2_files = GetAllFiles(FLAGS_input2_path); + + if (input0_files.empty() || input1_files.empty() || input2_files.empty()) { + std::cout << "ERROR: input data empty." << std::endl; + return 1; + } + + std::map costTime_map; + size_t size = input0_files.size(); + + for (size_t i = 0; i < size; ++i) { + struct timeval start = {0}; + struct timeval end = {0}; + double startTimeMs; + double endTimeMs; + std::vector inputs; + std::vector outputs; + std::cout << "Start predict input files:" << input0_files[i] << std::endl; + + auto input0 = ReadFileToTensor(input0_files[i]); + auto input1 = ReadFileToTensor(input1_files[i]); + auto input2 = ReadFileToTensor(input2_files[i]); + inputs.emplace_back(model_inputs[0].Name(), model_inputs[0].DataType(), model_inputs[0].Shape(), + input0.Data().get(), input0.DataSize()); + inputs.emplace_back(model_inputs[1].Name(), model_inputs[1].DataType(), model_inputs[1].Shape(), + input1.Data().get(), input1.DataSize()); + inputs.emplace_back(model_inputs[2].Name(), model_inputs[2].DataType(), model_inputs[2].Shape(), + input2.Data().get(), input2.DataSize()); + + gettimeofday(&start, nullptr); + ret = model.Predict(inputs, &outputs); + gettimeofday(&end, nullptr); + if (ret != kSuccess) { + std::cout << "Predict " << input0_files[i] << " failed." << std::endl; + return 1; + } + startTimeMs = (1.0 * start.tv_sec * 1000000 + start.tv_usec) / 1000; + endTimeMs = (1.0 * end.tv_sec * 1000000 + end.tv_usec) / 1000; + costTime_map.insert(std::pair(startTimeMs, endTimeMs)); + WriteResult(input0_files[i], outputs); + } + double average = 0.0; + int inferCount = 0; + + for (auto iter = costTime_map.begin(); iter != costTime_map.end(); iter++) { + double diff = 0.0; + diff = iter->second - iter->first; + average += diff; + inferCount++; + } + average = average / inferCount; + std::stringstream timeCost; + timeCost << "NN inference cost average time: "<< average << " ms of infer_count " << inferCount << std::endl; + std::cout << "NN inference cost average time: "<< average << "ms of infer_count " << inferCount << std::endl; + std::string fileName = "./time_Result" + std::string("/test_perform_static.txt"); + std::ofstream fileStream(fileName.c_str(), std::ios::trunc); + fileStream << timeCost.str(); + fileStream.close(); + costTime_map.clear(); + return 0; +} diff --git a/model_zoo/research/recommend/autodis/ascend310_infer/src/utils.cc b/model_zoo/research/recommend/autodis/ascend310_infer/src/utils.cc new file mode 100644 index 00000000000..c947e4d5f45 --- /dev/null +++ b/model_zoo/research/recommend/autodis/ascend310_infer/src/utils.cc @@ -0,0 +1,129 @@ +/** + * 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 "inc/utils.h" + +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 res; + while ((filename = readdir(dir)) != nullptr) { + std::string dName = std::string(filename->d_name); + if (dName == "." || dName == ".." || filename->d_type != DT_REG) { + continue; + } + res.emplace_back(std::string(dirName) + "/" + filename->d_name); + } + std::sort(res.begin(), res.end()); + for (auto &f : res) { + std::cout << "image file: " << f << std::endl; + } + return res; +} + +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/research/recommend/autodis/export.py b/model_zoo/research/recommend/autodis/export.py index 18b86114f7e..f7f2e434d90 100644 --- a/model_zoo/research/recommend/autodis/export.py +++ b/model_zoo/research/recommend/autodis/export.py @@ -24,7 +24,6 @@ from src.config import DataConfig, ModelConfig, TrainConfig parser = argparse.ArgumentParser(description="autodis export") parser.add_argument("--device_id", type=int, default=0, help="Device id") -parser.add_argument("--batch_size", type=int, default=16000, help="batch size") parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.") parser.add_argument("--file_name", type=str, default="autodis", help="output file name.") parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], default="AIR", help="file format") diff --git a/model_zoo/research/recommend/autodis/postprocess.py b/model_zoo/research/recommend/autodis/postprocess.py new file mode 100644 index 00000000000..6701db3b922 --- /dev/null +++ b/model_zoo/research/recommend/autodis/postprocess.py @@ -0,0 +1,52 @@ +# 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. +# ============================================================================ +"""postprocess.""" +import os +import argparse +import numpy as np +from mindspore import Tensor +from src.autodis import AUCMetric +from src.config import TrainConfig + +parser = argparse.ArgumentParser(description='postprocess') +parser.add_argument('--result_path', type=str, default="./result_Files", help='result path') +parser.add_argument('--label_path', type=str, default=None, help='label path') +args_opt, _ = parser.parse_known_args() + +def get_acc(): + ''' get accuracy ''' + auc_metric = AUCMetric() + train_config = TrainConfig() + files = os.listdir(args_opt.label_path) + batch_size = train_config.batch_size + + for f in files: + rst_file = os.path.join(args_opt.result_path, f.split('.')[0] + '_0.bin') + label_file = os.path.join(args_opt.label_path, f) + + logit = Tensor(np.fromfile(rst_file, np.float32).reshape(batch_size, 1)) + label = Tensor(np.fromfile(label_file, np.float32).reshape(batch_size, 1)) + + res = [] + res.append(logit) + res.append(logit) + res.append(label) + + auc_metric.update(*res) + auc = auc_metric.eval() + print("auc : {}".format(auc)) + +if __name__ == '__main__': + get_acc() diff --git a/model_zoo/research/recommend/autodis/preprocess.py b/model_zoo/research/recommend/autodis/preprocess.py new file mode 100644 index 00000000000..75a3bea0822 --- /dev/null +++ b/model_zoo/research/recommend/autodis/preprocess.py @@ -0,0 +1,57 @@ +# 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. +# ============================================================================ +"""preprocess.""" +import os +import argparse + +from src.config import DataConfig, TrainConfig +from src.dataset import create_dataset, DataType + +parser = argparse.ArgumentParser(description='preprocess.') +parser.add_argument('--dataset_path', type=str, default=None, help='Dataset path') +parser.add_argument('--result_path', type=str, default='./preprocess_Result', help='Result path') +args_opt, _ = parser.parse_known_args() + +def generate_bin(): + '''generate bin files''' + data_config = DataConfig() + train_config = TrainConfig() + + ds = create_dataset(args_opt.dataset_path, train_mode=False, + epochs=1, batch_size=train_config.batch_size, + data_type=DataType(data_config.data_format)) + batch_ids_path = os.path.join(args_opt.result_path, "00_batch_ids") + batch_wts_path = os.path.join(args_opt.result_path, "01_batch_wts") + labels_path = os.path.join(args_opt.result_path, "02_labels") + + os.makedirs(batch_ids_path) + os.makedirs(batch_wts_path) + os.makedirs(labels_path) + + for i, data in enumerate(ds.create_dict_iterator(output_numpy=True)): + file_name = "criteo_bs" + str(train_config.batch_size) + "_" + str(i) + ".bin" + batch_ids = data['feat_ids'] + batch_ids.tofile(os.path.join(batch_ids_path, file_name)) + + batch_wts = data['feat_vals'] + batch_wts.tofile(os.path.join(batch_wts_path, file_name)) + + labels = data['label'] + labels.tofile(os.path.join(labels_path, file_name)) + + print("=" * 20, "export bin files finished", "=" * 20) + +if __name__ == '__main__': + generate_bin() diff --git a/model_zoo/research/recommend/autodis/scripts/run_infer_310.sh b/model_zoo/research/recommend/autodis/scripts/run_infer_310.sh new file mode 100644 index 00000000000..d9e0618c490 --- /dev/null +++ b/model_zoo/research/recommend/autodis/scripts/run_infer_310.sh @@ -0,0 +1,122 @@ +#!/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 || $# -gt 4 ]]; then + echo "Usage: bash run_infer_310.sh [MINDIR_PATH] [DATASET_PATH] [NEED_PREPROCESS] [DEVICE_ID] + NEED_PREPROCESS means weather need preprocess or not, it's value is 'y' or 'n'. + DEVICE_ID is optional, it can be set by environment variable device_id, otherwise the value is zero" +exit 1 +fi + +get_real_path(){ + if [ "${1:0:1}" == "/" ]; then + echo "$1" + else + echo "$(realpath -m $PWD/$1)" + fi +} +model=$(get_real_path $1) +dataset_path=$(get_real_path $2) + +if [ "$3" == "y" ] || [ "$3" == "n" ];then + need_preprocess=$3 +else + echo "weather need preprocess or not, it's value must be in [y, n]" + exit 1 +fi + +device_id=0 +if [ $# == 4 ]; then + device_id=$4 +fi + +echo "mindir name: "$model +echo "dataset path: "$dataset_path +echo "need preprocess: "$need_preprocess +echo "device id: "$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=$ASCEND_HOME/fwkacllib/bin:$ASCEND_HOME/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/atc/ccec_compiler/bin:$ASCEND_HOME/atc/bin:$PATH + export LD_LIBRARY_PATH=$ASCEND_HOME/fwkacllib/lib64:/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/fwkacllib/python/site-packages:$ASCEND_HOME/atc/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/opp +fi + +function preprocess_data() +{ + if [ -d preprocess_Result ]; then + rm -rf ./preprocess_Result + fi + mkdir preprocess_Result + python3.7 ../preprocess.py --dataset_path=$dataset_path --result_path=./preprocess_Result/ +} + +function compile_app() +{ + cd ../ascend310_infer || exit + bash build.sh &> build.log +} + +function infer() +{ + cd - || exit + 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 --mindir_path=$model --input0_path=./preprocess_Result/00_batch_ids --input1_path=./preprocess_Result/01_batch_wts --input2_path=./preprocess_Result/02_labels --device_id=$device_id &> infer.log + +} + +function cal_acc() +{ + python3.7 ../postprocess.py --result_path=./result_Files --label_path=./preprocess_Result/02_labels &> acc.log +} + +if [ $need_preprocess == "y" ]; then + preprocess_data + if [ $? -ne 0 ]; then + echo "preprocess dataset failed" + exit 1 + fi +fi +compile_app +if [ $? -ne 0 ]; then + echo "compile app code failed" + exit 1 +fi +infer +if [ $? -ne 0 ]; then + echo " execute inference failed" + exit 1 +fi +cal_acc +if [ $? -ne 0 ]; then + echo "calculate accuracy failed" + exit 1 +fi \ No newline at end of file