glog

There are few examples of Go connection Kafka, but there is less support for offset trackers, but it is also a basic requirement. This requirement is met by "Github.com/bsm/sarama-cluster" combined with "Github.com/shopify/sarama". The number of concurrent hours that can be used to synchronize the producer, but when the concurrency is large, an asynchronous producer must be used. Environment: Golang 1.8 Kafka 0.10 CentOS 7.2 Package main import ("FMT" "Math/rand" "OS" "StrConv" "Strings"

Tags: 3.2 warehouse dynamic software LCX not energy code static oneI. Compilation environmentubuntu16.04Two. Preparation of the necessary libraries for the installation of the work2.1 Installing CMakesudo apt-get install CMake2.2 Installing Google-glog + gflagssudo apt-get install Libgoogle-glog-dev2.3 Installing BLAS LAPACKsudo apt-get install Libatlas-base-dev2.4 Installing Eigen3sudo apt-get install Lib

and file system library) need to be linked to the library. However, there are many experimental things in boost, so you need to be cautious when using it in actual development. Boost is enhanced in some playing software and sound effects, such as bassBoost, enhanced bass.Adaptive Communication Environment (self-adaption communication environment), or ace for short. It is an open source code library package for cross-platform network applications made by C ++ template technology. It provides wra

) = size; update_zmalloc_stat_alloc(size+PREFIX_SIZE); return (char*)ptr+PREFIX_SIZE;#endif} The callback function is triggered when memory allocation fails. Iii. redis log Because redis is single-threaded, logs in redis. C are not made into multiple threads. Such a log is fast in a single thread because there is no lock. However, multithreading is not safe. This simplifies the redis log statement. # Include 　　 How can I write the fastest and most logs without affecting performance, Mul

under Windows. Below I will describe the dependent libraries required by Caffe (if you are also win7 64-bit +vs2013, you can use the dependent libraries I provide directly).2.1 BoostBoost can download the source code for compiling, or you can download the installation files directly. I use the latter, convenient and fast.I am using: boost_1.56_0-msvc-12.0-64.exe:http://sourceforge.net/projects/boost/files/boost-binaries/1.56.0/Note Download the boost version for your configuration environment.A

Why should Repo:https://github.com/neopenx/dragon use Dragon?No why, as a hacker, BVLC Caffe in the many design ills.Then rewrite it and make a lot of adjustments to the architecture.The advantages of Dragon 1, fast installationCaffe's CMake scheme is quite low, and various kinds of library flying are also ills.Dragon inherited the Caffe-windows 3rdparty approach, maintaining linux/windows synchronization installation,To achieve a true cross-platform.Well, you can kill me in 10 minutes.2. Remove

, find the reason, but also to catch the hidden behind the "pot-man."Caffe, almost all over the logging code, Glog simple and easy to use, the work must be done.Glog log records are divided into four levels, INFO, WARNING, ERROR, FATAL.You can specify the level of log output you want through google::setlogdestination, and these four levels are interesting.The info level is usually some execution process information, and the warning level is where you

, and it can also run under Linux and Mac OS x. Currently it does not support IE and only supports Google Chrome, Firefox, Safari and opera.Tesseract-ocr-an OCR Engine that is developed at HP Labs between 1985 and 1995 ... And now at Google.OCR (Optical Character recognition): Optical character recognition refers to the process of analyzing and identifying the text in a picture file and acquiring it.Tesseract: Open source OCR recognition engine, the initial tesseract engine was developed by HP L

a compile code.Enter the bin path to run DevicequeryCD ~/nvidia_cuda-6.5_samples/bin./DevicequerySTEP2, pre-installed dependency preparationCaffe has several dependencies.CUDA is required for GPU mode.Library version 7.0 and the latest driver version was recommended, but 6.* was fine too5.5, and 5.0 is compatible but considered legacyBLAS via ATLAS, MKL, or Openblas.Boost >= 1.55OpenCV >= 2.4 including 3.0Protobuf, Glog, gflagsIO libraries Hdf5, LEVE

, and it can also run under Linux and Mac OS x. Currently it does not support IE and only supports Google Chrome, Firefox, Safari and opera.Tesseract-ocr-an OCR Engine that is developed at HP Labs between 1985 and 1995 ... And now at Google.OCR (Optical Character recognition): Optical character recognition refers to the process of analyzing and identifying the text in a picture file and acquiring it.Tesseract: Open source OCR recognition engine, the initial tesseract engine was developed by HP L

Microsoft's ActiveX technology, and it can also run under Linux and Mac OS x. Currently it does not support IE and only supports Google Chrome, Firefox, Safari and opera.Tesseract-ocr-an OCR Engine that is developed at HP Labs between 1985 and 1995 ... And now at Google.OCR (Optical Character recognition): Optical character recognition refers to the process of analyzing and identifying the text in a picture file and acquiring it.Tesseract: Open source OCR recognition engine, the initial tessera

, and it can also run under Linux and Mac OS x. Currently it does not support IE and only supports Google Chrome, Firefox, Safari and opera.Tesseract-ocr-an OCR Engine that is developed at HP Labs between 1985 and 1995 ... And now at Google.OCR (Optical Character recognition): Optical character recognition refers to the process of analyzing and identifying the text in a picture file and acquiring it.Tesseract: Open source OCR recognition engine, the initial tesseract engine was developed by HP L

/mnistCUDNNmake clean make `nproc`./mnistCUDNN If you see the following information, congratulations, installation success Test passed!Environment Dependent installation sudo apt-get updatesudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler -ysudo apt-get install --no-install-recommends libboost-all-dev -ysudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev -ysudo apt-get install libgflags-dev libgoogle-

it) MKL and CUDA environment settings: $ sudo gedit/etc/ld.so.conf.d/intel_mkl.conf Add to: /opt/intel/lib/intel64 /opt/intel/mkl/lib/intel64 Then completes the Lib file the link operation, executes: $ sudo ldconfig–v (2) Installation of Atlas: Download directly via Apt-get: $ sudo apt-get install Liblapack-dev $ sudo apt-get install Libatlas-base-dev $ sudo apt-get install Libatlas-dev 2.3 Installing additional dependency installations Use the sudo apt-get install to install the fo

: APIVERSION:V1 Clusters: -cluster: server:http:// 2.2 Rest.config The Rest.config object is obtained by the parameter (master's URL or kubeconfig path) and the Buildconfigfromflags method, typically through the path of the parameter kubeconfig. Config, err: = Clientcmd. Buildconfigfromflags ("", *kubeconfig) buildconfigfromflags function Source code K8s.io/client-go/tools/clientcmd/client_config.go Buildconfigfromflags is a helper function this builds configs from a master//URL or a kube

. Modify the Python path:= $(PYTHON_INCLUDE) /usr/local/includeLIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib 修改为： INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serialLIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial Then modify the Makefile file in the Caffe directory:将：LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5改为：LI

-backports main restricted universe Multiverse Deb https:// Mirrors.tuna.tsinghua.edu.cn/ubuntu/xenial-security main restricted universe Multiverse # DEB-SRC https:// Mirrors.tuna.tsinghua.edu.cn/ubuntu/xenial-security main restricted universe multiverse # Pre-release software source, not recommended to enable# deb Https://mirrors.tuna.tsinghua.edu.cn/ubuntu/xenial-proposed main restricted universe multiverse# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/xenial-proposed main restricted

I recently installed the installation of the old version of Caffe, the installation process is really two words "want to die", so my mistakes are generally more classic.Couldn't find hdf5.hIt's easy to find common solutions on the Web:---include_dirs: = $ (python_include)/usr/local/INCLUDE+ + + include_dirs: = $ (python_include)/usr/local/ include/usr/include/hdf5/serial/---LIBRARIES + = glog gflags protobuf boost_system boost_filesystem m HDF5_HL hdf

$ sudo apt-get install python-docutilsInstall Pidgin for open source community IRC Channel$ sudo apt-get install pidginSet up your proxy of pidginConfigure your git$ git config--global core.editor vimTo avoid install GITK set the This alias$ echo "[alias] glog = log--graph --abbrev-commit--date=relative--pretty=format: '%cred%h%creset-%c (yellow) %d%creset%s%cgreen (%cblue%an%creset%cgreen%cr)%creset ' " >> ~/.gitconfig$ git

Yesterday on the Mac toss a day is not installed successfully, at night on the Mac mounted a paralleldesktop virtual machine, and then installed Linux, 10 minutes to install, I was drunk =. =The main process is slightly documented:1. Installing Blassudo Install Libatlas-base-dev2. Install dependenciessudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev Libhdf5-serial-dev Protobuf-compiler Liblmdb-dev3. Installing GlogThis to FQ, I put on my Baidu cloud