Description:
lightningbagua 0.1.0
Lightning ⚡ Bagua
Deep Learning Training Acceleration with Bagua and Lightning AI
Bagua is a deep learning training acceleration framework which supports multiple advanced distributed
training algorithms including:
Gradient AllReduce for centralized synchronous communication, where gradients are averaged among all workers.
Decentralized SGD for decentralized synchronous communication, where each worker exchanges data with one or a few specific workers.
ByteGrad and QAdam for low precision communication, where data is compressed into low precision before communication.
Asynchronous Model Average for asynchronous communication, where workers are not required to be synchronized in the same iteration in a lock-step style.
By default, Bagua uses Gradient AllReduce algorithm, which is also the algorithm implemented in DDP, but Bagua can usually produce a higher training throughput due to its backend written in Rust.
Installation
pip install -U lightning-bagua
Usage
Simply set the strategy argument in the Trainer:
from lightning import Trainer
# train on 4 GPUs (using Bagua mode)
trainer = Trainer(strategy="bagua", accelerator="gpu", devices=4)
See Bagua Tutorials for more details on installation and advanced features.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
