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I am currently trying to install tensorflow inside of a Docker container or on my local Macbook. Both are not working and return the same result: ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none) ERROR: No matching distribution found for tensorflow

I am using a normal pip install. Docker: RUN python3.8 -m pip install -r requirements.txt Mac: pip3 install tensorflow

My pip versions are all up to date since I ran pip install --upgrade pip a lot of times so far and do it again with every new try.

I am not able to change the Python version in the Docker-Container since there are other packages which require Python 3.8 in the same Container.

I am happy for any Ideas to solve that problem other than updating pip oder installing another Python version since that is not possible for me.

My System is a Macbook Air 2020 M1.

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  • Please read this article to get a faster and more accurate answer. Commented Dec 16, 2021 at 16:02

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I have now found the answer to my own question. The answer is postet in this Stackoverflow link: Tensorflow not found on pip install inside Docker Container using Mac M1

You need to change the platform to linux when running the docker command. docker build --platform linux/x86_64 -t myimage .

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Hi Jake - I did this, but then I get an error qemu: uncaught target signal 6 (Aborted) - core dumped after import tensorflow. How do you use tensorflow inside the docker container? Any help would be highly appreciated (I am on a Mac M1)
Yes I am using tensorflow inside of a Docker container but I still could'nt get my code running properly. I only got so far to build the Image but there are still bugs in my code I need to fix. But to build the container, I added a Dockerfile, Python file and requirements file and used the command I mentioned above. That did'nt work for you? Do you have these three files and are in the right directory when entering the command?
Hi Jake, I do have those files, but still had the mentioned error. Anyway, I replaced that part of the code with an equivalent PyTorch version and I am good for now. Thanks for answering

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