Tensorflow Federated with apple silicon

Hallo everyone,
how can i get tensorflow federated installed on apple silicon (MPB M1 Max)?
Python3.9

python3.9 -m pip install tensorflow-macos==2.9.2 tensorflow-metal==0.6.0 tensorflow-federated==0.37.0

shows error

Collecting tensorflow-federated==0.37.0
  Using cached tensorflow_federated-0.37.0-py2.py3-none-any.whl (903 kB)
ERROR: Could not find a version that satisfies the requirement tensorflow-compression==2.9.2 (from versions: none)
ERROR: No matching distribution found for tensorflow-compression==2.9.2

Python3.10


python3.10 -m pip install tensorflow-macos==2.10.0 tensorflow-metal==0.6.0 tensorflow-federated==0.37.0

shows error


Collecting tensorflow-macos==2.10.0
  Using cached tensorflow_macos-2.10.0-cp310-cp310-macosx_12_0_arm64.whl (211.5 MB)
ERROR: Ignored the following versions that require a different python version: 0.34.0 Requires-Python ~=3.9.0; 0.36.0 Requires-Python ~=3.9.0
ERROR: Could not find a version that satisfies the requirement tensorflow~=2.10.0 (from tensorflow-federated) (from versions: none)
ERROR: No matching distribution found for tensorflow~=2.10.0

Would really like to use tensorflow-federated with apple silicon and pip, since the tensorflow and metal just works fine both for python3.9 and python3.10.

The major issue seams to me that there is no pre-compiled tensorflow-compression package for apple silicon. Any suggestions on how to get tensorflwo-compression work on apple silicon will really be appreciated. (Use tensorflow compression with tensorflow federated on apple silicon · Issue #154 · tensorflow/compression · GitHub)

1 Like

With the following packages and execution sequence using pip works on M1, the orders in the sequence shall not be changd, more details can be found at https://github.com/tensorflow/federated/issues/1254#issuecomment-1304635335

python3 -m pip install tensorflow-macos==2.9.2 --no-cache-dir
python3 -m pip install attrs==21.4.0 dp-accounting==0.1.2 matplotlib==3.6.2 pandas==1.5.1 scikit-learn==1.1.3 tensorflow-datasets==4.5.2 tensorflow-probability==0.15 --no-cache-dir

python3 -m pip install farmhashpy==0.4.0 portpicker==1.5 semantic-version==2.6 tensorflow-model-optimization==0.7.3 tensorflow-privacy==0.8.4 --no-dependencies --no-cache-dir

python3 -m pip install jax==0.3.24 jaxlib==0.3.24 tensorflow-metal==0.5.1 numpy==1.23.4 --no-cache-dir
python3 -m pip install tensorflow-federated==0.34.0 --no-deps --no-cache-dir

I fall back to tensorflow-federated==0.34.0, since this version doesn’t use tensorflow-compression

Try the Answer from Jiahui-Bai from https://github.com/tensorflow/federated/issues/1254#issuecomment-1304635335. Worked for me.

Hi, I’m just wondering if now tensorflow federated has any support of its newer version (like 0.61.0) on apple silicon?