Create the environment in your Slate directory: Research Technologies recommends installing the environment in your Slate space. To load a miniconda module, on the command line, enter:.To unload the Python module, on the command line, enter:.Miniconda uses Python but prefers its own installation consequently, if your user environment already has Python added, you first must unload that Python module and then load a miniconda module:.This displays the modules that are already loaded to your environment for example: ~]$ module list Currently Loaded Modulefiles:ġ) gcc/6.3.0 3) quota/1.6 5) xalt/2.10.30 7) python/3.8.2 Check whether your user environment has a version of Python loaded already on the command line, enter:.For this reason, conda environments can be large. Within this environment, you can install and delete as many conda packages as you like without making any changes to the system-wide miniconda module.Ĭonda will attempt to resolve any conflicting dependencies between software packages and install all dependencies in the environment. Create a conda environment and install packagesįollow the steps below to create a conda environment. For information on how to create a Slate account, see About Slate high performance storage for research computation at IU. In order to avoid exceeding your home directory disk quota, Research Technologies recommends you use the -p option to build your environments in your Slate directory, rather than your home directory tree. Named environments (those created with the -n option) are placed in a subdirectory of the. As a result, conda environments take up a large amount of disk space. Since Research Technologies installs many commonly used Python packages in the python and python/gpu modules, including numpy, pandas, tensorflow, pytorch, jupyter, and many others, check the Python and python/gpu modules before you install a Python package.Ĭonda installs virtually all dependencies, even system libraries that are a part of Research Technologies operating system installations. However, UITS Research Technologies installs and maintains many software packages on IU's research supercomputers, which users can access with module commands. Package managers can be helpful because they allow users to install packages and their dependencies locally with just one command.
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