Docs website, Versioned Zepl Output and Store Command on CLI

Avatar of Noorvir AulakhNoorvir Aulakh

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Welcome to the 4th edition of the Unweave Changelog. It’s the age of AI. The progress in AI art in the last few months has been 🤯. Since we have the perfect platform with our Changelog, we’ll be featuring AI generated art as the cover from now on. If you’d like to train your own AI art generator reach out and we’ll get you setup with Unweave ASAP!

Docs website is out

We’re debuting into the publishing business with our brand new docs website. We’re starting out with a starter template to help you train an MNIST classifier from scratch within 2 minutes (literally). We’ll keep adding more templates each week. If you have a request for a starter you’d like to see, hit us up and we’ll make it happen.

Versioned Zepl Output

The feedback we often get from users is how difficult it is to version the models they train. As of today, Unweave does this for you out of the box! When you run your code with Unweave, we automatically snapshot the output you save to the uwstore/output directory. In the image below, for example, the zepl on the left was aborted by the user and therefore had no output. The zepl on the right, ran to completion and saved a checkpoint file to the uwstore/output directory. This data is automatically snapshotted by Unweave. You can retrieve it for every zepl you ever ran from the Dashboard or the CLI.

New store Command in the CLI

Last week, we announced the uwstore: an S3 bucket mounted at the base of your repository. Today, we’re adding the unweave store command to the CLI to make it even easier to manage your data. You can now upload and download files to the store using the unweave store download and unweave store upload commands. You can also list the contents of your store with uwstore store list. Give it a whirl and let us know what you think!

  unweave store [command]

Available Commands:
  download    Download an object from the uwstore
  list        List objects in the uwstore
  upload      Upload a local directory or file to the uwstore

  -h, --help   help for store

Global Flags:
  -p, --path string    Path to an Unweave project to run
  -t, --token string   Use a specific token to authenticate - overrides login token

Use "unweave store [command] --help" for more information about a command.

Early Access

We’re still in early access. If you’d like to be one of the first to try Unweave and help us shape the product, get in touch and we’ll get you setup asap ❤️