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* Enable to hidden INFO/WARNING log informations * Fix build error --------- Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
76 lines
2.1 KiB
C++
76 lines
2.1 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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#include "fastdeploy/utils/utils.h"
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#include <sstream>
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namespace fastdeploy {
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bool FDLogger::enable_info = true;
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bool FDLogger::enable_warning = true;
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void SetLogger(bool enable_info, bool enable_warning) {
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FDLogger::enable_info = enable_info;
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FDLogger::enable_warning = enable_warning;
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}
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FDLogger::FDLogger(bool verbose, const std::string& prefix) {
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verbose_ = verbose;
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line_ = "";
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#ifdef __ANDROID__
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prefix_ = std::string("[FastDeploy]") + prefix;
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#else
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prefix_ = prefix;
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#endif
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}
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FDLogger& FDLogger::operator<<(std::ostream& (*os)(std::ostream&)) {
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if (!verbose_) {
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return *this;
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}
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std::cout << prefix_ << " " << line_ << std::endl;
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#ifdef __ANDROID__
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__android_log_print(ANDROID_LOG_INFO, prefix_.c_str(), "%s", line_.c_str());
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#endif
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line_ = "";
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return *this;
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}
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bool ReadBinaryFromFile(const std::string& file, std::string* contents) {
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std::ifstream fin(file, std::ios::in | std::ios::binary);
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if (!fin.is_open()) {
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FDERROR << "Failed to open file: " << file << " to read." << std::endl;
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return false;
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}
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fin.seekg(0, std::ios::end);
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contents->clear();
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contents->resize(fin.tellg());
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fin.seekg(0, std::ios::beg);
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fin.read(&(contents->at(0)), contents->size());
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fin.close();
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return true;
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}
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std::vector<int64_t> GetStride(const std::vector<int64_t>& dims) {
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auto dims_size = dims.size();
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std::vector<int64_t> result(dims_size, 1);
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for (int i = dims_size - 2; i >= 0; --i) {
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result[i] = result[i + 1] * dims[i + 1];
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}
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return result;
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}
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} // namespace fastdeploy
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