Artificial Intelligence

Proposed refactor

The current import time for the pytorch_lightning package on my machine is several seconds. There are some opportunities to improve this.

Motivation

High import times have an impact on the development and debugging speed.

Benchmark

I benchmarked the import time in two environments:

1. Fresh environment with pytorch lightning installed, no extras.

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Is there an existing issue for this?

• I have searched the existing issues

What would you like to be added?

Current chunk manager didn't accept ctx for timeout and tracing control.
such as:
Read(ctx, Context, filePath string) ([]byte, error)

Why is this needed?

No response

Anything else?

No response

Currently the output directory (default dvc_plots/) for the HTML file produced by dvc plots show can only be defined via the command's -o flag. It would be great if it could be set via dvc.yaml or the config files so that running dvc plots show automatically saves the file in a predefined place. This would make it more seamless to use in projects with a well-defined directory structure.

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
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Currently, when entering epic mode the README is frozen in the last level of the tower. When you're trying to fine-tune the score for a level other than the last one, it would be helpful if we had the README for that level available. The proposal is that when entering epic mode, the README is updated with all levels, one following the other.

Example:

# Starbolt - beginner

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.