Use tensorflow compression with tensorflow federated on apple silicon

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#154 opened on Oct 16, 2022 4 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 4/5
Estimated time: 3-5 days
Newbie friendliness: 25/100

Issue type: Feature
Clarity: Mostly clear
Activity status: Stale
Tech stack: python, tensorflow
Domain: build-system, machine-learning

Research direction

No files or tests are named. Start by reproducing the failure with the listed pip command and the tensorflow-compression==2.9.2 dependency on Apple silicon. Determine how the package is distributed for this platform; done means an identified installation path or a clearly scoped precompiled-package change.

Written by the indexing model from the issue text.

Description

Is your feature request related to a problem? Please describe.
During the installation of tensorflow-federated with pip on a MBP with apple silicon

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

I got the 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

Describe the solution you'd like
how can i get the tensorflow-compression installed on apple silicon? It would be really great if we can have a pre-compiled package also for apple silicon.

Describe alternatives you've considered
I am open for any suggestions, would really like to use tensorflow-federated with metal and GPU on M1 apple silicon.

Dominant language: Python
Stars: 923
Forks: 258
PR merge metrics: No merged PRs in 30d

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