![]() ![]() If python is correctly pointed to the right environment but you cannot import tensorflow, consider running step 5 again just to make sure you installed Tensorflow in the appropriate environment.If it isn't, you most likely did not create or activate your environment correctly, as per Steps 2 & 3. Run python -version and it should be version 3.8.If it doesn't, you may not have installed Miniforge correctly, ran Step 2 correctly, and/or may not have ran Step 3. Both paths should point to a Python that is inside the environment you created in Step 2. Type in which python and then which pip in your terminal.Pip install -upgrade -force -no-dependencies By the way, the URLs for the TensorFlow wheel files came from the Releases page, so you can swap these wheel files out with a prior version of TensorFlow as needed.Ĭonda env create -file=environment.yml -name=test Pip install the TensorFlow wheels by running the commands below.Activate that environment by running this command, replacing the uppercase variable with your environment's name: conda activate YOUR_ENV_NAME_HERE.In your terminal run this command, replacing the uppercase variables with the path to your environment.yml file and your desired name for this environment: conda env create -file=PATH_TO_ENVIRONMENT.YML -name=YOUR_ENV_NAME_HERE.txt to the end of the file - do not let your browser do that. Download environment.yml, which contains the instructions to create a Python environment with the dependencies you need - we'll install TensorFlow afterwards.Installing TensorFlowĪttached to this Issue is a YAML file which will help you create a Conda Environment with TensorFlow, along with all the prerequisites you need from the ARM conda-forge channel. bash_profile or other shell environment file if you have one, to do this automatically for you. Until the Python community fixes this, each time prior to loading Python, you must run export SYSTEM_VERSION_COMPAT=0. For Intel, both Anaconda and MiniForge have a Python Bug which prevents you from running Python correctly in some instances on macOS Big Sur. ![]() Intel Only Warning: Python Bugs in Big Sur Miniforge has Conda, which means you can install many of the packages you want such as Pandas, Scipy, and Numpy - unlike Anaconda, you just have to do the install manually by running conda install mypackagenamehere. If you were planning to use Anaconda on ARM, please scroll back up and install Miniforge. You can use Anaconda if you're using an Intel Mac though. ARM) compatible and thus Anaconda is not ARM compatible. Anaconda comes with many Python packages included, some of which are not Apple Silicon (i.e. This warning only applies to Apple Silicon Macs. Apple Silicon Only Warning: You CANNOT use Anaconda To do that, you need to figure out where conda was installed to (it's probably ~/miniforge3/condabin/conda) and then run ~/miniforge3/condabin/conda init in your terminal. If you did all that, set your environment paths to Miniforge's Python Installation. Please ensure that you downloaded the correct Miniforge for your system architecture and installed it. If any of those sanity checks failed, you must redo this section. Run which pip in your terminal and it too should resolve to some path that implies you're using miniforge3.If you have an Intel Mac, it should also say Mach-O 64-bit executable x86_64. If you have an Apple Silicon Mac, it should also say Mach-O 64-bit executable arm64.It'll probably be /miniforge3/bin/python. This path implies you're running your miniforge version of Python.Run file $(which python) in your terminal (thanks to for this shortcut!).You can use Anaconda if you're on Intel, but note that this guide will be written from the perspective of using miniforge. Miniforge, is a 'lightweight' Python interpreter that has full access to the Conda ecosystem. If you haven't, you did not install it correctly. Sanity Check before Proceeding: To ensure installation worked, run which xcrun in your terminal and you should get a path like /usr/bin/xcrun. To do so, run this in your terminal: xcode-select -install Install Xcode Command Line tools if you haven't. Prerequisites: Install XCode Command Line Tools If it's not version 11.#, you're not on Big Sur and must upgrade to it from the macOS App Store. Sanity Check before Proceeding: To ensure you're on the right version of macOS, run sw_vers -productVersion in your terminal. If you're on an Intel Mac, the Intel versions of TensorFlow are Big Sur only. ![]() If you have an Apple Silicon Mac, this is a freebie, you're already on Big Sur. Prerequisites: You must be on macOS Big Sur This is not so much an issue as opposed to a 'How To' if you'd like to install this version of Tensorflow in Conda. ![]()
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