12/13/2023 0 Comments Install conda macos![]() ![]() I will update here after I run the Miniconda native M1 installer. It was very easy and I verified that in the native M1 Miniforge environment that Numpy is using the optimized BLAS/LAPACK linear algebra libraries and that Tensorflow has GPU access. I successfully ran the side-by-side installation from Jeff's tutorial with a few changes. There was a native M1 Miniconda installer published in 2021/11: Miniconda3 macOS Apple M1 64-bit bash (P圓8 conda 4.10.1 ) Jeff basically uses Apple's solution above for the native Miniforge install. (2) Running native M1 with Miniforge and Rosetta with Miniconda side-by-side (Jeff Heaton's tutorial from 2021/11) Look for the "arm64: Apple Silicon" section at: This uses the same Miniforge solution mentioned above but includes an M1-optimized Tensorflow install, meaning TF has access to the M1 GPU cores. (1) Using Apple's instructions for Tensorflow with Miniforge Here are a few options for Miniforge and Miniconda. Native M1 installations are pretty simple now. I also have only done minimal testing using the conda's pip, and how well it recognizes/tries to download/resolves M1 vs x86 pip packages. (I'm guessing this would work, but haven't tried). I'm also not sure/haven't tested whether you can mix and match M1 wheels with x86 mac wheels. I've not tested this too extensively yet, and I'm not sure exactly what happens if a non-M1 wheel is available (I believe it will default to downloading a no-arch version). (look for supporting platform 'osx-arm64` eg numpy) Various installers for their Miniforge (via direct download, curl or homebrew) can be found on their github page (above) - the direct link to the ARM native miniforge installer is here.Ī quick search on conda-forge show's almost all common modules do now have native M1 wheels available. However, as steff above mentioned, conda-forge (as in the group responsible for maintaining the conda-forge channel) do have a installer for their version of conda that is itself both native M1, and also sets up your environment to pull M1 native wheels where available. It seems Anaconda still do not have a native M1 version, nor does Miniconda.I can't figure out why it's taken so long and neither still seem to have native M1 support, but that's a separate issue. There seem to be native osx M1 native wheels for most common modules now available on the conda-forge channel.This will install an M1 native conda, and that conda's default environment will by default install M1 native python versions and M1 native versions of modules (if available).Installation is simple - run the installer, and you have conda up and running.The conda-forge group have a M1 native conda installer here.Pressing 'Enter' (or entering any other command) will terminate the script. To run Molywood, provide the name of the input file, e.g. Now you can run molywood just typing molywood in your terminal. Run the Python Package Installer to install manually the last dependency: As VMD is an external software, macOS will ask you for permissions in order to install it.You must agree to the terms of the license: ![]() ![]() Note that although VMD software is free for academic use, it is mandatory to be registered for downloading it.Please go to the following URL and download the *.dmg file: As VMD is not available for macOS in Anaconda, we must install it manually.Once the environment has been successfully created, please follow the next steps for installing all the dependencies needed for the execution of : VMD (Visual Molecular Dynamics) Once the molywood conda environment is created, activate it:.Open your terminal and go to the folder where your environment.yml file has been downloaded and follow the next steps: The structure of this file is as follows:ĭownload the YAML file environment.yml to your computer clicking the button below:ĭownload environment.yml Create conda environment Environment creation If it doesn't work, the path must be exported:Įxport PATH=/home/USER/anaconda3/bin:$PATHįor creating a new conda environment, we need to download a YAML file with all the dependencies that must be installed into our environment. When the execution is finished, try to execute conda in the terminal window.The process of installation can last several minutes:.Double click on the *.pkg file and follow the instructions:.Be sure that the macOS tab is selected and Download Python 3.x version.Install AnacondaĪlthough the installation can be done without using Anaconda, we strongly recommend it as it contains numpy and matplotlib as a pre-installed package. The molywood tool has been developed in Python version 3 and therefore it must be run over a Python 3 installation or environment. ![]()
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