The following will create a minimal Python installation without any extraneous packages: Three alternative create commands are listed. These cover the most common cases. However, if you want to create your own python environment, we recommend using miniconda3 module, since you can start with minimal configurations.Ĭreate Python installation to local directory python modules are typically recommended when you use Python in a standard environment that we provide. python modules are based on Anaconda package manager, and miniconda3 module is based on Miniconda package manager. We use the name local for the environment, but you may use any other name. The following steps are an example of how to set up a Python environment and install packages to a local directory using conda. If the specific package you are looking for is available from (formerlly ), you can easily install it and required dependencies by using the conda package manager. This will get amortized when the batch or model sizes grow, since the GPU can then take better advantage of the parallelism in performing the computations.While our Python installations come with many popular packages installed, you may come upon a case in which you need an additional package that is not installed. On small networks running with small batch sizes, the CPU may perform faster overall due to the overhead related to dispatching computations to the GPU. Find out if your workload is sufficient to take advantage of the GPU.
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Check that the Python version used in the environment is supported (Python 3.8, Python 3.9, Python 3.10).
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