Emily CLI Documentation
Release-v3.1.0Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.
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$ emily configuration add compose gpu [options]Add a GPU configuration to your project, allowing you to make use of GPU capabilities.
$ emily configuration add compose gpu? Emily: Choose a project:(Use arrow keys, confirm with ENTER) … > M9VHKD - my-projectAB82JD - movie-recommender · M9VHKD - my-project? Emily: Please select a configuration:(Use arrow keys, confirm with ENTER) … dev> staging+ Add new configuration · stagingEmily: Gpu configuration "staging" added to project my-project(M9VHKD).
Created:
- /my/projects/my-project/staging/docker-compose.gpu.ymlDocker Compose Gpu configuration
The emily configuration add compose gpu command allows you to add functionality for using a GPU with CUDA to one of your projects.
Before adding a gpu configuration to your project, make sure that your computer is actually set up for using a GPU, otherwise the project may fail to open after adding a gpu configuration.
To check whether your computer can use a GPU within a project, run emily doctor and check that the Nvidia Driver feature and all its subfeatures are fixed.
If your computer is set up for using GPU, projects built with emily build are automatically created with a gpu configuration, so you don't need to add a gpu configuration.