![]() Please input the desired Python library path to use. Library/Frameworks/amework/Versions/3.9/lib/python3.9/site-packages Session may differ): View sample configuration session In both cases you can change the default. Virtual environment, python configure.py prioritizes paths There is also a python version of this script. Script will prompt you for the location of TensorFlow dependencies and asks forĪdditional build configuration options (compiler flags, for example). configure script from the repository's root directory. Git checkout branch_name # r2.2, r2.3, etc. The repo defaults to the master development branch. TensorFlow repository: git clone cd tensorflow Note: It is easier to set up one of TensorFlow's GPU-enabled Docker images. Software required to run TensorFlow on a GPU. Read the GPU support guide to install the drivers and additional Install GPU support (optional, Linux only) Package sources: sudo apt-get update & sudo apt-get install -y llvm-16 clang-16Īlternatively, you can download and unpack the pre-builtĬlang+LLVM-16 binaries. Run the following command if you manually add llvm apt repository to your Installation script and packages for manual installation on Linux. LLVM Debian/Ubuntu nightly packages provide an automatic TheĬurrent supported version is LLVM/Clang 16. Is the default compiler to build TensorFlow starting with TensorFlow 2.13. Install Clang (recommended, Linux only)Ĭlang is a C/C++/Objective-C compiler that is compiled in C++ based on LLVM. Sure to install the correct Bazel version from TensorFlow'sįile. If Bazelisk is not available, you can manually ForĮase of use, add Bazelisk as the bazel executable in your PATH. ![]() To build TensorFlow, you will need to install Bazel.īazel and automatically downloads the correct Bazel version for TensorFlow. Additional required dependencies are listed in theįile under REQUIRED_PACKAGES. Install the TensorFlow pip package dependencies (if using a virtualĮnvironment, omit the -user argument): pip install -U -user pip numpy wheel packaging requests opt_einsum pip install -U -user keras_preprocessing -no-deps Note: A pip version >19.0 is required to install the TensorFlow 2. Install using the Homebrew package manager: brew install python Any other commits you make to my-updates will also appear on that branch.Ubuntu sudo apt install python3-dev python3-pip macOS Open Sourcetree and notice that your repository has Uncommitted changes.įrom the Unstaged files list, place a checkmark next to the survey.html file (and any other files with uncommitted changes).įrom the Confirm Stage? dialog, click OK.Ĭlick the Commit button at the top to commit the file.Įnter a commit message in the space provided, something like Answered questions.Ĭlick the Commit button under the message box. When you switch back to the view, you see that the file has been committed but not pushed to the Bitbucket repository.įrom Sourcetree, click the Push button to push your committed changes.įrom the dialog that appears, click OK to push your branch with the commit to Bitbucket.įrom Bitbucket, click the Source page of your repository. You should see both branches in the dropdown. Make a change to the branchįrom the repository in Sourcetree, click the Show in Finder button. Now you've got a branch in Bitbucket and it's checked out to your local system, allowing you to work on and push that separate line of code. To do so, click the Check out in Sourcetree button.įrom the Checkout Existing dialog in Sourcetree, click Checkout. If you aren't sure what to name your branch, go with something like my-updates.Īfter you create a branch, you need to check it out from your local system. You'll see that you already have one branch - your main branch.Ĭlick Create a branch in the top right corner.Įnter a Branch name and click Create. ![]() However, we're going to create one from Bitbucket for the purposes of this tutorial.Ĭlick Branches from the left navigation. Because branches aren't only a Bitbucket concept, you can create one locally. Now that your repository is all set up, next comes the fun part. If you added or modified other files, you'll see those as well.Ĥ. ![]() ![]() You should see the survey.html file you modified. Display the status of the repository with git status. Make your changes, big or small, and then save and close the file.įrom your terminal window, you should still be in the repository directory unless you've changed something. Open the survey.html file (or whatever you named it) with a text editor. Like the file mentions, you can go as crazy or as simple as you like. Now, it's your turn to makes some changes to your repository. * my-updates -> origin/my-updatesīranch 'my-updates' set up to track remote branch 'my-updates' from 'origin'.Īs you can see, you've switched to your new branch locally, allowing you to work on and push that separate line of code. ![]()
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