Comments (5)
Thanks, @adityaladwa for confirming this 🎉
Fixed in 0f86825 - Will be merged with the main
branch via new-features
while rolling out the next update and docker tags :latest
, :dev
will be supported with multi-arch builds.
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Hi @adityaladwa
It's mentioned in the release page that dockers are built for x86/x86_64 CPUs only as the base Tensorflow image is compiled for AVX instructions which is not applicable for Apple sillicon (M1/M2)
Looking for a solution to use the existing dependencies version with the base image that is not specific to CPU architecture.
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yes, this works @pranjal-joshi 👍
Screeni-py-apple-silicon.mp4
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docker version
output as follows
❯ docker version
Client:
Cloud integration: v1.0.35+desktop.4
Version: 24.0.6
API version: 1.43
Go version: go1.20.7
Git commit: ed223bc
Built: Mon Sep 4 12:28:49 2023
OS/Arch: darwin/arm64
Context: desktop-linux
Server: Docker Desktop 4.23.0 (120376)
Engine:
Version: 24.0.6
API version: 1.43 (minimum version 1.12)
Go version: go1.20.7
Git commit: 1a79695
Built: Mon Sep 4 12:31:36 2023
OS/Arch: linux/arm64
Experimental: false
containerd:
Version: 1.6.22
GitCommit: 8165feabfdfe38c65b599c4993d227328c231fca
runc:
Version: 1.1.8
GitCommit: v1.1.8-0-g82f18fe
docker-init:
Version: 0.19.0
GitCommit: de40ad0
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Hi @adityaladwa
Docker support for multi-arch CPUs is in progress. Can you test if this works on your system now?
docker pull joshipranjal/screeni-py:multi
docker run -it joshipranjal/screeni-py:multi run_screenipy.sh
Note: multi
tag will be delete later and latest
will start supporting multiple CPU architectures.
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