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Frequently Asked Questions


Which dependencies are required to install the Determined command-line interface?

You’ll need to have Python >= 3.5 and pip installed in your development environment. If you need to install a new version of Python, one tool you can use is pyenv.

How do I install the Determined command-line interface?

pip install determined-cli

When trying to install the Determined command-line interface, I encounter this distutils error

Uninstalling a distutils installed project (...) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.

If a Python library has previously been installed in your environment with distutils or conda, pip may not be able to upgrade or downgrade the library to the version required by Determined. There are two recommended solutions:

  1. Install the Determined command-line interface into a fresh virtualenv with no previous Python packages installed.

  2. Use --ignore-installed with pip to force overwriting the library version(s).

    pip install --ignore-installed determined-cli

Multi-GPU Training

Why do my multi-GPU training experiments never start?

It might be that slots_per_trial in the experiment configuration is not a multiple of the number of GPUs on a machine or that there are running tasks preventing your multi-GPU trials from acquiring all the GPUs on a single machine. Consider adjusting slots_per_trial or terminating existing tasks to free up slots in your cluster.

See Distributed Training for more details.

Why do my multi-machine training experiments appear to be stuck?

Multi-machine training requires that all machines be able to connect to each other directly. There may be firewall rules or network configuration that prevent machines in your cluster from communicating. Please check if agent machines can access each other outside of Determined (e.g., using the ping or netcat tools).

More rarely, if agents have multiple network interfaces and some of them are not routable, Determined may pick one of those interfaces rather than one that allows one agent to contact another. In this case, it is possible to set the network interface used for multi-GPU training explicitly in the Cluster Configuration.