empirical-cli
v0.7.0
Published
Empirical CLI
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Readme
emp is a command line tool that helps you run and replicate experiments using the Empirical Framework
Dependencies
There are only 2 requirements:
- Node.js is a JavaScript runtime required to run this program on your computer. Download and install Node.js from here.
- Docker allows us to create self-contained portable environments that work accross different platforms. Follow these instructions to install Docker.
Install
emp is supported on Windows, Mac and Linux.
Once you have node.js installed on your computer, you can install emp using npm
.
npm install -g empirical-cli
Get started
Test your installation by replicating an experiment.
emp run empirical/mnist-sample/x/Hke43sz5e
This will clone the source code from GitHub, checkout the appropriate version, build the experiment image, download the required datasets, run the experiment, and save the results on your computer. All in one single command.
Run your experiments
Once you have defined your experiment using the Empirical Framework.
From GitHub
Run an experiment directly from a GitHub repository.
emp run mnist https://github.com/empiricalci/mnist-sample
Or provide a specific commit.
emp run mnist https://github.com/empiricalci/mnist-sample#0e6b04363c374992eb94a80dd2db0895711fb60f
From empiricalci.com
You can easily replicate any experiment pushed to empiricalci by running:
emp run <experimentId>
From a local directory
Or you can run an experiment from a local directory.
emp run my-protocol /path/to/code
Keep track of your experiments
Authenticate with the server
Authenticating with empiricalci.com allows you to save the results of your experiments and share them with your peers.
- If you haven't done so, sign up for an account on empiricalci.com
- Login using the CLI:
emp login
will ask for your credentials and store them on your computer
Push your results
Push your results to the online dashboard by providing a message a path to the output directory created by emp run
and the project id.
emp push /path/to/report <projectId>
Configure
Empirical uses a directory to cache all the datasets downloaded and to save any files generated during the
tests or experiments. This defaults to ~/empirical
. You can change this by doing:
emp configure
Notes
GPU Support
GPU support is provided for Linux via nvidia-docker, you can follow the instructions on the "Quick start" to install it and learn how to run GPU enabled experiments here.
Currently Windows and MacOS are not supported since they rely on VMs to run Docker. See this issue for more information.
About Docker on Windows
If you're using the Docker for Windows version, as opposed to Docker toolbox make sure of the following:
- emp requires to mount certain directories on your containers, so make sure to share your local drives.
- emp can usually communicate with Docker using the default settings. If it fails to connect, make sure the
DOCKER_HOST
environment variable is set to the correct value. On Docker for Windows this defaults to127.0.0.1:2375
. You can set it using CMD assetx DOCKER_HOST "127.0.0.1:2375"
.