config=v1 # Build with TensorFlow 1 API instead of TF 2 API. config=dynamic_kernels # (Experimental) Build kernels into separate shared objects. config=monolithic # Config for mostly static monolithic build. config=mkl_aarch64 # Build with oneDNN and Compute Library for the Arm Architecture (ACL). You can use any of the below by adding "-config=" to your build command. No iOS support will be enabled for TensorFlow. Not configuring the WORKSPACE for Android builds.ĭo you wish to build TensorFlow with iOS support? : n Would you like to interactively configure. Please specify optimization flags to use during compilation when bazel option "-config=opt" is specified : n No CUDA support will be enabled for TensorFlow.ĭo you wish to download a fresh release of clang? (Experimental) : n No ROCm support will be enabled for TensorFlow.ĭo you wish to build TensorFlow with CUDA support? : n
Default is ĭo you wish to build TensorFlow with ROCm support? : n 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. TensorFlow dependencies and asks for additional build configuration options This script will prompt you for the location of If you need to change the configuration, run the. 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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