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) 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: /usr/bin/ruby -e '$(curl -fsSL )' export PATH='/usr/local/opt/python/libexec/bin:$PATH' # if you are on macOS 10.12 (Sierra) use export PATH='/usr/local/bin:/usr/local/sbin:$PATH' brew install python Ubuntu sudo apt install python3-dev python3-pip macOS

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