Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes. - pytorch-lightning/requirements.txt at master ...

Lightning can be installed with conda using the following command: conda install lightning -c conda-forge You can also use Conda Environments.

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Level Up! Learn Lightning in small bites at 4 levels of expertise: Introductory, intermediate, advanced and expert. PyTorch Lightning Tutorials · Lightning in 15 minutes · Installation · Basic skills

Refactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTorch Lightning modules ...

It is rigorously tested across multiple GPUs, TPUs, CPUs and IPUs. GPU tests run on two NVIDIA P100. TPU tests run on Google GKE TPUv2/3. TPU py3.7 means we ...

Lightning can be installed with conda using the following command: conda install pytorch-lightning -c conda-forge

A LightningModule organizes your PyTorch code into 6 sections. When you convert to use Lightning, the code IS NOT abstracted - just organized. Trainer · Table of Contents · Logging