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Test Number : MB6-527
Test Name : GP 10.0 Installation & Configuration
Vendor Name : Microsoft
Q&A : 60 Dumps Questions

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GP 10.0 Installation

setting up e book for TensorFlow on macOS high Sierra 10.13.four to your DeepLearning w/ Java, C, and Go | MB6-527 Dumps and Real test Questions with VCE Practice Test

This setting up particularly specializes in macOS excessive Sierra edition 10.13.4. It’s seemingly that the setting up may work on previous edition of macOS excessive Sierra. despite the fact, addressing the issues related to outdated models isn't regarded during this topic. There are a few options to installation TensorFlow on macOS.

  • Docker
  • Native Pip
  • digital Python environment
  • installation of TensorFlow with Anaconda
  • setting up of TensorFlow for JDK
  • installation of TensorFlow for go along with TensorFlow C Library
  • Docker

    The docker community edition is the favored platform for building container primarily based functions on macOS. There are couple of update channels available via Docker group version similar to solid and aspect. The Docker CE helps each on-premise and cloud systems. The Docker CE edition setting up is compatible with AWS and Azure cloud systems on CentOS, Debian, Fedora, Ubuntu, and Linux systems. The setting up of Docker on a mac computing device doesn't affect any machines created with the Docker laptop. the new Docker for mac Hyperkit VM creates the virtual atmosphere with the minimal hardware support of Mac hardware created no earlier than 2010 with Intel’s hardware assist for virtualization of reminiscence administration in unrestricted mode. The hardware help can also be confirmed with the command sysctl kern.hv_support within the terminal. Any working programs equivalent to mac OS El Capitan or above are supported via Docker. despite the fact, macOS high Sierra resolved majority of the considerations encountered from the prior edition of macOS. It’s suggested to have macOS high Sierra version 10.13.4 for minimizing the problems with docker installation. The gadget should still be outfitted with as a minimum four GB RAM. get the Docker group version for macOS from the Docker save. This may require introduction of docker identification and password to be part of the Docker keep.

    determine 1. Docker group edition for macOS.

    Docker group edition for macOS dockerizes the functions on mac with Hypervisor framework, filesystem, and networking with a complete construction environment. The Docker platform additionally delivers developer equipment for operating command line, compose, and Docker notary command line with computerized updates pushed in the course of the Docker development atmosphere. as soon as the down load of the docker is initiated on macOS, a pattern docker run whats up-world may also be run to assess the validity of the Docker setting up. The Docker installing now includes complete TensorFlow atmosphere in a TensorFlow binary picture. The Docker container will also be launched with right here command:

    $ docker run -it -p hostPort:containerPortTensorFlowImage

    If the TensorFlow programs are run from the Shell, -p hostPort:containerPortwill be non-compulsory. In case of working the TensorFlow software from the Jupyter laptop, the hostPort and containerPort may also be set to 8888. operating embedding visualizations from TensorBoard insider the container will require setting the localhost to 6006. The TensorFlow binary photographs are additionally purchasable on DockerHub. the following command can also be run to launch the TensorFlow courses from shell.

    $ docker run -it tensorflow/tensorflow bash

    the following command initiates environment the Jupyter ambiance for Docker container to run TensorFlow programs from Jupyter notebooks.

    $ docker run -it -p 8888:8888 tensorflow/tensorflow

    Native Pip

    The installation through native Pip expects a prior atmosphere of either Python 3.X+ or Python 2.7. If macOS does not have Python ambiance, it must be put in earlier than trying to deploy TensorFlow. Pip is for Python 2.7 and Pip3 is for Python 3.X version. that you could determine the system edition of Pip throughout the following commands.

    $ pip -V # for Python 2.7$ pip3 -V # for Python three.n

    It’s at all times a good idea to replace the pip with the latest version:

    $ sudo easy_install –improve pip$ sudo easy_install –improve six

    once, the installation or Excellerate is efficaciously comprehensive, TensorFlow may also be installed with here command in response to the gadget ambiance:

    $ pip install tensorflow # Python 2.7; CPU support $ pip3 installation tensorflow # Python 3.n; CPU aid

    a brief TensorFlow software can also be run in the system after clearing the syntax to make certain that the setting up has been successful and system has been install with Tensorflow building ambiance.

    virtual Python environment

    as soon as the macOS terminal is began, right here instructions may also be beneficial to comprehensive the installation. The choice three virtual Python environment is favorite. the following instructions set up the installation of pip and digital Python atmosphere for TensorFlow.

    $ sudo easy_install pip $ pip installation –improve virtualenv

    once the virtual Python ambiance has been upgraded, the following commands will also be leveraged to create the digital Python environment.

    $ virtualenv –device-web page-applications targetDirectory # for Python 2.7$ virtualenv –device-website-packages -p python3 targetDirectory # for Python 3.n

    The goal directory can be the precise of the virtual Python ambiance tree. by means of default, it will be ~/TensorFlow. although, it will also be modified to every other directory based on the preference of the developer.

    The goal listing must be activated as digital python ambiance with both of the following instructions:

    $ cd targetDirectory$ source ./bin/set off # If using bash, sh, ksh, or zsh$ source ./bin/spark off.csh # If using csh or tcsh

    once the above technique is comprehensive, the suffix of the supply command alterations to your target directory as follows:


    right here instructions can also be leveraged to installation TensorFlow:

    (targetDirectory)$ pip set up –improve tensorflow # for Python 2.7 (targetDirectory)$ pip3 installation –upgrade tensorflow # for Python three.n

    once the atmosphere is created, it can also be leveraged to run even Jupyter Notebooks.

    GPs-iMac:~ GP$ sudo easy_install pip


    attempting to find pip

    greatest healthy: pip 10.0.1

    including pip 10.0.1 to convenient-set up.pth file

    installing pip script to /anaconda3/bin

    installing pip3 script to /anaconda3/bin

    setting up pip3.6 script to /anaconda3/bin

    using /anaconda3/lib/python3.6/web site-applications

    Processing dependencies for pip

    entire processing dependencies for pip

    GPs-iMac:~ GP$ pip set up –improve virtualenv

    accumulating virtualenv

    Downloading https://information.pythonhosted.org/programs/b6/30/96a02b2287098b23b875bc8c2f58071c35d2efe84f747b64d523721dc2b5/virtualenv-16.0.0-py2.py3-none-any.whl (1.9MB)

    one hundred% |████████████████████████████████| 1.9MB 5.4MB/s

    setting up collected packages: virtualenv

    successfully installed virtualenv-sixteen.0.0

    GPs-iMac:~ GP$ virtualenv–system-site-programs -p python3

    operating virtualenv with interpreter /anaconda3/bin/python3

    You should deliver a DEST_DIR

    usage:virtualenv.py[OPTIONS] DEST_DIR

    GPs-iMac:~ GP$ virtualenv–device-website-applications -p python3 tensorflow

    working virtualenvwith interpreter /anaconda3/bin/python3

    the use of base prefix ‘/anaconda3’

    New python executable in /users/GP/tensorflow/bin/python3

    additionally developing executable in /users/GP/tensorflow/bin/python

    installing setuptools, pip, wheel…executed.

    GPs-iMac:~ GP$ cd tensorflow

    GPs-iMac:tensorflow GP$ supply /bin/spark off

    -bash: /bin/activate: No such file or directory

    GPs-iMac:tensorflow GP$ source ./bin/activate

    (tensorflow) GPs-iMac:tensorflow GP$ easy_install -U pip

    searching for pip

    studying https://pypi.org/fundamental/pip/

    Downloading https://information.pythonhosted.org/applications/0f/74/ecd13431bcc456ed390b44c8a6e917c1820365cbebcb6a8974d1cd045ab4/pip-10.0.1-py2.py3-none-any.whl#sha256=717cdffb2833be8409433a93746744b59505f42146e8d37de6c62b430e25d6d7

    choicest fit: pip 10.0.1

    Processing pip-10.0.1-py2.py3-none-any.whl

    installation pip-10.0.1-py2.py3-none-any.whl to /clients/GP/tensorflow/lib/python3.6/web page-applications

    writing necessities to /users/GP/tensorflow/lib/python3.6/website-applications/pip-10.0.1-py3.6.egg/EGG-information/requires.txt

    adding pip 10.0.1 to handy-deploy.pth file

    installing pip script to /clients/GP/tensorflow/bin

    installation pip3 script to /clients/GP/tensorflow/bin

    setting up pip3.6 script to /clients/GP/tensorflow/bin

    put in /users/GP/tensorflow/lib/python3.6/web page-programs/pip-10.0.1-py3.6.egg

    Processing dependencies for pip

    comprehensive processing dependencies for pip

    (tensorflow) GPs-iMac:tensorflow GP$ pip3 set up –upgrade tensorflow

    gathering tensorflow

    Downloading https://info.pythonhosted.org/applications/03/ad/d732a5d9d50bfcd8aeb6e4a266065a8868829388e4e2b529ff689f1fc923/tensorflow-1.8.0-cp36-cp36m-macosx_10_11_x86_64.whl (forty six.5MB)

    a hundred% |████████████████████████████████| 46.5MB 426kB/s

    gathering tensorboard<1.9.0,>=1.8.0 (from tensorflow)

    Downloading https://data.pythonhosted.org/applications/59/a6/0ae6092b7542cfedba6b2a1c9b8dceaf278238c39484f3ba03b03f07803c/tensorboard-1.eight.0-py3-none-any.whl (three.1MB)

    100% |████████████████████████████████| three.1MB 4.5MB/s

    amassing termcolor>=1.1.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/programs/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz

    gathering gast>=0.2.0 (from tensorflow)

    Downloading https://info.pythonhosted.org/applications/5c/seventy eight/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz

    Requirement no longer upgraded as not without delay required: wheel>=0.26 in ./lib/python3.6/web page-programs (from tensorflow) (0.31.1)

    gathering astor>=0.6.0 (from tensorflow)

    Downloading https://information.pythonhosted.org/applications/b2/91/cc9805f1ff7b49f620136b3a7ca26f6a1be2ed424606804b0fbcf499f712/astor-0.6.2-py2.py3-none-any.whl

    amassing grpcio>=1.eight.6 (from tensorflow)

    Downloading https://information.pythonhosted.org/packages/sixty eight/57/da122cbfc1b7815381480b23044fff06b90f58c1be9310e68c2d6b1d623c/grpcio-1.12.1-cp36-cp36m-macosx_10_7_intel.whl (1.9MB)

    one hundred% |████████████████████████████████| 1.9MB 6.3MB/s

    amassing absl-py>=0.1.6 (from tensorflow)

    Downloading https://data.pythonhosted.org/packages/57/8d/6664518f9b6ced0aa41cf50b989740909261d4c212557400c48e5cda0804/absl-py-0.2.2.tar.gz (82kB)

    100% |████████████████████████████████| 92kB 17.7MB/s

    Requirement no longer upgraded as not at once required: six>=1.10.0 in /anaconda3/lib/python3.6/web site-programs (from tensorflow) (1.11.0)

    amassing protobuf>=three.4.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/applications/6d/7e/51c91b28cb8446ebd7231d375a2025bca4c59d15ddc0cf2dd0867b400cd7/protobuf-three.6.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)

    a hundred% |████████████████████████████████| 1.2MB 6.3MB/s

    Requirement now not upgraded as not at once required: numpy>=1.13.3 in /anaconda3/lib/python3.6/site-programs (from tensorflow) (1.14.0)

    Requirement no longer upgraded as now not without delay required: werkzeug>=0.eleven.10 in /anaconda3/lib/python3.6/website-applications (from tensorboard<1.9.0,>=1.8.0->tensorflow) (0.14.1)

    amassing bleach==1.5.0 (from tensorboard<1.9.0,>=1.8.0->tensorflow)

    Downloading https://files.pythonhosted.org/programs/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl

    amassing markdown>=2.6.8 (from tensorboard<1.9.0,>=1.eight.0->tensorflow)

    Downloading https://files.pythonhosted.org/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.eleven-py2.py3-none-any.whl (78kB)

    one hundred% |████████████████████████████████| 81kB 19.7MB/s

    amassing html5lib==0.9999999 (from tensorboard<1.9.0,>=1.8.0->tensorflow)

    Downloading https://information.pythonhosted.org/packages/ae/ae/bcb60402c60932b32dfaf19bb53870b29eda2cd17551ba5639219fb5ebf9/html5lib-0.9999999.tar.gz (889kB)

    a hundred% |████████████████████████████████| 890kB 13.0MB/s

    Requirement no longer upgraded as no longer without delay required: setuptools in ./lib/python3.6/web page-applications (from protobuf>=3.4.0->tensorflow) (39.2.0)

    building wheels for gathered programs: termcolor, gast, absl-py, html5lib

    operating setup.py bdist_wheel for termcolor … finished

    kept in listing: /users/GP/Library/Caches/pip/wheels/7c/06/fifty four/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6

    running setup.py bdist_wheel for gast … accomplished

    kept in listing: /users/GP/Library/Caches/pip/wheels/9a/1f/0e/3cde98113222b853e98fc0a8e9924480a3e25f1b4008cedb4f

    working setup.py bdist_wheel for absl-py … finished

    kept in listing: /clients/GP/Library/Caches/pip/wheels/a0/f8/e9/1933dbb3447ea6ef57062fd5461cb118deb8c2ed074e8344bf

    running setup.py bdist_wheel for html5lib … accomplished

    stored in directory: /clients/GP/Library/Caches/pip/wheels/50/ae/f9/d2b189788efcf61d1ee0e36045476735c838898eef1cad6e29

    efficaciously built termcolor gast absl-py html5lib

    installing collected packages: html5lib, bleach, protobuf, markdown, tensorboard, termcolor, gast, astor, grpcio, absl-py, tensorflow

    discovered existing installing: html5lib 1.0.1

    now not uninstalling html5lib at /anaconda3/lib/python3.6/web page-packages, outside ambiance /clients/GP/tensorflow

    Can’t uninstall ‘html5lib’. No information had been discovered to uninstall.

    found current setting up: bleach 2.1.2

    no longer uninstalling bleach at /anaconda3/lib/python3.6/website-packages, outside atmosphere /users/GP/tensorflow

    Can’t uninstall ‘bleach’. No information had been found to uninstall.

    efficaciously installed absl-py-0.2.2 astor-0.6.2 bleach-1.5.0 gast-0.2.0 grpcio-1.12.1 html5lib-0.9999999 markdown-2.6.11 protobuf-3.6.0 tensorboard-1.eight.0 tensorflow-1.8.0 termcolor-1.1.0

    (tensorflow) GPs-iMac:tensorflow GP$ conda install -c conda-forge tensorflow

    solving atmosphere: completed

    ==> WARNING: a newer version of conda exists. <==

    latest version: 4.four.10

    latest edition: four.5.four

    Please update conda by using working

    $ conda replace -n base conda

    ## kit Plan ##

    ambiance region: /anaconda3

    brought / up to date specs:

    – tensorflow

    right here applications could be downloaded:

    equipment | build

    — — — — — — — — — | — — — — — –

    mock-2.0.0 | py36_0 103 KB conda-forge

    certifi-2018.1.18 | py36_0 143 KB conda-forge

    libprotobuf-3.5.2 | 0 3.9 MB conda-forge

    tensorflow-1.1.0 | py36_0 24.eight MB conda-forge

    pbr-4.0.four | py_0 61 KB conda-forge

    protobuf-3.5.2 | py36_0 603 KB conda-forge

    — — — — — — — — — — — — — — — — — — — —

    total: 29.7 MB

    right here NEW packages can be put in:

    libprotobuf: three.5.2–0 conda-forge

    mock: 2.0.0-py36_0 conda-forge

    pbr: 4.0.4-py_0 conda-forge

    protobuf: 3.5.2-py36_0 conda-forge

    tensorflow: 1.1.0-py36_0 conda-forge

    here programs could be updated:

    certifi: 2018.1.18-py36_0 –> 2018.1.18-py36_0 conda-forge

    Proceed ([y]/n)? y

    Downloading and Extracting applications

    mock 2.0.0: ############################################################ | one hundred%

    certifi 2018.1.18: ##################################################### | one hundred%

    libprotobuf three.5.2: ##################################################### | 100%

    tensorflow 1.1.0: ###################################################### | a hundred%

    pbr 4.0.four: ############################################################# | 100%

    protobuf three.5.2: ######################################################## | one hundred%

    making ready transaction: executed

    Verifying transaction: carried out

    Executing transaction: completed

    installation of TensorFlow with Anaconda

    although, Anaconda installation is supported by means of Anaconda and a number of different communities, it’s no longer officially supported by using Google and TensorFlow firm. The issues with installing of Anaconda should be resolved via contacting Anaconda. The Anaconda environment for macOS may also be downloaded from Anaconda site. as soon as the get is finished, the conda atmosphere with the identify of TensorFlow can be deploy with right here command:

    $ conda create -n tensorflow pip python=2.7 # or python=three.3, and so forth.

    The conda environment can be activated with the following command.

    $ source activate tensorflow

    here command can also be leveraged to install TensorFlow interior conda environment.

    (targetDirectory)$ pip set up –ignore-put in –upgrade TF_PYTHON_URL

    Tensorflow installing with JDK.

    TensorFlow grants APIs to work with Java. If there’s an earlier version of Apache Maven, moderate adjustments to the configuration file can permit to use the TensorFlow JAVA APIs.

    <dependency> <groupId>org.tensorflow</groupId> <artifactId>tensorflow</artifactId> <edition>1.8.0</version> </dependency>

    In case, there’s no Apache Maven assignment atmosphere on the device, it must be determined, if the installing should go on Linux or macOS.

    TensorFlow setting up for Go Platform

    The TensorFlow installation for Go platform is dependent upon the TensorFlow C library. It may also be installed with here command.

    TF_TYPE=”cpu” # exchange to “gpu” for GPU help TARGET_DIRECTORY=’/usr/local’ curl -L \ “https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-$TF_TYPE-$(go env GOOS)-x86_64–1.eight.0.tar.gz” | sudo tar -C $TARGET_DIRECTORY -xz

    once, the installing is finished, the Go platform with TensorFlow C library file will be put in to /usr/local/lib. Go Get command will ensure to get all of the integral Go programs for Tensorflow with the following command.

    go get github.com/tensorflow/tensorflow/tensorflow/go

    as soon as, the installation is complete, it can also be Verified with a trial Go program.

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