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Apple M1 Chip problem #46
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Hi @fatihdinc, Thanks for pointing this out. I have myself no access to a Mac, but I will ask a colleague (who is on Holidays until next week) to evaluate the situation and maybe come up with a guideline or at least with an analysis of this situation within the next weeks. It seems that Tensorflow is currently not supporting the M1 chip right now officially, so one open question is also whether it makes sense to fix the problem. But we will come back to you with a better idea how to proceed. Peter |
Hello @fatihdinc , we can give it a try to work out the configuration for Cascade on Macs with Apple Silicon, but it will likely take some time, due to limited hardware availability. In the meantime, here are 2 workarounds that you could try:
Please note that in both cases, the performance will likely be suboptimal and you will not use the full power of your ARM CPU. Best, Henry |
Hello @hluetck, I have a problem with checking packages in Jupyter-Notebook code. When I ran it, the kernel died. I installed tensorflow V2.1.0 and keras V2.3.1 and ruamel.yaml with pip on my MacBook (M1). Python version is 3.6.6 and Jupyter-Notebook version is 6.4.10. This is the list of pip I installed: Package Version absl-py 0.15.0 Also, I have tried to run Cascade in Docker but when I want to build the container, get this error:
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Hi @MarziyehPourmousavi , |
@hluetck I said about checking the packages because I thought the problem was related to not installing them properly and I tried to fix it with another method which is Docker, but even with the file you uploaded, it was not fixed and I got this error: => ERROR [3/4] RUN conda env create -f /tmp/environment_mac.yml 20.2s
executor failed running [/bin/bash -o pipefail -c conda env create -f /tmp/environment_mac.yml]: exit code: 1 |
@MarziyehPourmousavi : so this means that the version of Tensorflow is not available for your architecture. I am afraid that without access to a Mac with Apple Silicon, I cannot properly solve this issue. |
It appears that there is a problem with the current version of Tensorflow used by Cascade with the Apple M1 chips. There seems to be solutions to the problem, but this would require updating both the Tensorflow and the Python versions used for Cascade. I would really appreciate if you could consider addressing this issue in the future. Thanks!
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