references: www.youtube.com/watch?v=W_Qbrnp6uis
1. Install miniforge3: https://github.com/conda-forge/miniforge/#download
> for Apple Silicon link
2. Restart terminal so that Conda is recognized
> Type Conda in prompt to check
conda --version
3. Create Conda environment with python3.8 since python3.9 is the default from Miniforge (user python3.8 for your name):
> conda create —name [ conda_name ] python=3.8
conda create —name tensorflow_conda python=3.8
4. Activate virtual environment: conda activate <env_name>
5. Download the zipped tar file from apple/tensorflow_macos
> https://github.com/apple/tensorflow_macos/releases
6. Unzip the tar file
6-1. Navigate to Downloads
cd Download
6-2. Tar -xvf <filename>
sudo tar -zxvf tensorflow_macos/
7. Get the working directory of arm64 within that folder
7-1. Once there, type: pwd
7-2. Set variables
7-2-1. libs=location of arm64 above
> libs=“/Users/smin/Downloads/tensorflow_macos/arm64/“
7-2-2. env=location of your python virtual environment
> env=“/Users/smin/miniforge3/envs/<env_name>
(tensorflow_conda)> env=“/Users/smin/miniforge3/envs/tensorflow_conda
8. Conda install cached-property
9. Conda install six
10. pip install –upgrade -t “$env/lib/python3.8/site-packages/” –no-dependencies –force “$libs/grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl”
11. pip install –upgrade -t “$env/lib/python3.8/site-packages/” –no-dependencies –force “$libs/h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl”
12. pip install –upgrade -t “$env/lib/python3.8/site-packages/” –no-dependencies –force “$libs/tensorflow_addons-0.11.2+mlcompute-cp38-cp38-macosx_11_0_arm64.whl”
13. conda install -c conda-forge -y absl-py
14. conda install -c conda-forge -y astunparse
15. conda install -c conda-forge -y gast
16. conda install -c conda-forge -y opt_einsum
17. conda install -c conda-forge -y termcolor
18. conda install -c conda-forge -y typing_extensions
19. conda install -c conda-forge -y wheel
20. conda install -c conda-forge -y typeguard
21. pip install wrapt flatbuffers tensorflow_estimator google_pasta keras_preprocessing protobuf
22. pip install –upgrade -t “$env/lib/python3.8/site-packages/” –no-dependencies –force “$libs/tensorflow_macos-0.1a1-cp38-cp38-macosx_11_0_arm64.whl”
Make sure this is pointing to the right version within your downloads folder
23. pip install tensorboard
24. type python into the command prompt to open a python shell
25. Check it done
import tensorflow as tf
print(tf.__version__)
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