Artificial Intelligence

Proposed refactor

Move all the variables defined here that are only used in one file
https://github.com/PyTorchLightning/pytorch-lightning/blob/1e36cffbca3f92855d82907370544fade1656da6/pytorch_lightning/utilities/imports.py#L98-L134
to their respective files.

Motivation

This encapsulates code and avoids clutter from the utilities.

Pitch

Move:

• _APEX_AVAILABLE

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Currently all milvus config is loaded from milvus.yaml, and config change need to restart the process.

The config file will be a big trouble for production environment because if user change some of the configs by their own they need to take ca

We support toml as params file. There are a few issues with our current toml parsing:

1. We use toml library, which is not toml 1.0 standard compatible. Also, the library is not being actively maintained.
2. toml dumping does not preserve existing formatting.
3. iterative/dvc#6402

We can try migrating to tomli (which

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

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
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

Metaflow currently supports Py>=3.4 (with limited support for Py2.7) and R>=3.8. The GH tests only test for Py3.7 and R4.1. We should ensure we test on the whole set of permutations.