unable to run tensorflow on my machine

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Hello! I've been trying to run tensorflow on my MBA M3. I previously had an Intel Mac and was able to run tensorflow without any problem. I've been working on a personal project in a directory I made on my previous Mac, that I was running through Jupyter notebook. Now every time I try to run the code, the kernel will die and I'm unsure what to do.

I tried following tutorials, but every tutorial I've seen has made me create a new environment to access Jupyter Notebook, but not letting me access notebooks and files that have already been created.

I tried to run this following command in terminal and received the subsequent error back.

python -m pip install tensorflow-metal

ERROR: Could not find a version that satisfies the requirement tensorflow-metal (from versions: none)
ERROR: No matching distribution found for tensorflow-metal

I've installed miniforge, Xcode, and anaconda onto my computer already and wanted some assistance.

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Answer 1

jezekilj OP

2w

The error message suggests that the tensorflow-metal package isn't available in your current Python environment. This could be due to the environment's configuration or compatibility issues with Apple Silicon.

ensure you're using the latest version of Python and pip, as older versions might cause compatibility issues. Run the following commands in the terminal:

python3 -m pip install --upgrade pip
python3 --version

make sure that you're using the miniforge version built specifically for Apple Silicon (M1, M2, M3).

You can create a new environment using Miniforge, and ensure it's correctly set up for Apple Silicon. Run:

conda create -n tf_env python=3.9
conda activate tf_env

Once you're in the correct environment, install TensorFlow with metal support:

pip install tensorflow-macos
pip install tensorflow-metal

Since you're trying to access your existing Jupyter notebooks, make sure that your new environment is accessible from Jupyter. Install Jupyter into the environment you created:

pip install jupyter

Then, link your environment to Jupyter by running: python -m ipykernel install --user --name=tf_env --display-name "Python (tf_env)"

Tips:

Apple Silicon uses a different architecture from Intel-based Macs, so some Python packages or compiled libraries may need to be reinstalled or reconfigured to work with the ARM-based M3 chip

It’s possible that some dependencies or configurations that worked on your Intel Mac might not be fully compatible with the M3. It might be worth considering recreating the environment, ensuring all dependencies are correctly aligned for Apple Silicon.

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