lightning 2.2.1

The Deep Learning framework to train, deploy, and ship AI products Lightning fast.

08-24-2023 245 words 2 minutes 0 views

Contents

The Deep Learning framework to train, deploy, and ship AI products Lightning fast.

Stars: 26707, Watchers: 26707, Forks: 3234, Open Issues: 738

The Lightning-AI/pytorch-lightning repo was created 5 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 26707 github stars!

How to Install lightning

You can install lightning using pip

pip install lightning

or add it to a project with poetry

poetry add lightning

Package Details

Author: Lightning AI et al.
License: Apache-2.0
Homepage: https://github.com/Lightning-AI/lightning
PyPi:: https://pypi.org/project/lightning/
Documentation:: https://lightning.ai/lightning-docs
GitHub Repo:: https://github.com/Lightning-AI/lightning

Classifiers

Scientific/Engineering/Artificial Intelligence
Scientific/Engineering/Information Analysis

No lightning pypi packages just yet.

Errors

A list of common lightning errors.

Code Examples

Here are some lightning code examples and snippets.

GitHub Issues

The lightning package has 738 open issues on GitHub

relax App dependencies for lightning [wip]
Meta device initialization for FSDP in Trainer
Cosmic Ray Observatories Data Public
tests: changed mocked dir tmpdir to tmp_path
Organize strategy tests folder
docs: updating logos
Feature 18367 configurable metric formatting
WandBLogger: Can't set log_model from LightningCLI due to problem in type hint
Customizable Metric Formatting for Rich Progress Bar
Fabric + FSDP + load_raw before setup edge case
Memory Leak when instantiating Fabric multiple times
barebones mode should be more forceful
Update sphinx requirement from <6.0,>5.0 to >5.0,<8.0 in /requirements
Bump click from 8.1.6 to 8.1.7 in /requirements
Update fastapi requirement from <0.100.0,>=0.92.0 to >=0.92.0,<0.102.0 in /requirements

See more issues on GitHub

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