Have you accidentally named one of the python files in. I wonder if you tried too many options, without cleaning up the mess that non-working solution have created. however this is not utilsing the GPUs as with previous versions of anaconda: import tensorflow as tf gpu len (tf.config.listphysicaldevices ('GPU'))>0 print ('GPU is', 'available' if gpu else 'Not Available') GPU is. I installed P圜harm on M1 without problem. However, I get the module ray is not found (' No module named 'ray.rllib' 'ray' is not a package '). I can successfully install a working version of tensorflow with conda-forge like so. conda create -n rllib python3.8 conda activate rllib pip install cmake 'ray rllib' pip install torch. Read more here: ī) add export PROPHET_REPACKAGE_CMDSTAN=False to my terminal environment settings file (open and edit with the command: nano ~/.zshrc)Ĭ) check if the environment variable was set with command: echo "$PROPHET_REPACKAGE_CMDSTAN" in a new terminal window, if it doesn't print False, then probably your default terminal is bash not zsh, so edit the bash profile ( nano ~/. I've used anaconda to run rllib on my m1 pro laptop. This library downloads CmdStan from GitHub and builds the CmdStan utilities. Download Visual Studio Code to experience a redefined code editor, optimized for building and debugging modern web and cloud applications. However, prophet=1.1.2 is still using an old version of cmdstanpy where this bug materializes for some Mac M1 users ( CMDSTAN_VERSION = "2.26.1").Ī) Create a python environment (venv or conda) and install the library cmdstanpy (simply with pip install -upgrade cmdstanpy). That's because of a bug in cmdstanpy ( stan-dev/cmdstan#1127) which was fixed in the latest versions of cmdstanpy. I was running into the error: " CmdStan failed to install in repackaged directory". I have installed prophet 1.1.2 with python 3.9.16. Solution doing PROPHET_REPACKAGE_CMDSTAN=False worked for me on Apple M1 Pro, MacOS Ventura 13.1.
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