Launch distributed training — PyTorch Lightning 1.9.6 documentation

DDPFullyShardedNativeStrategy — PyTorch Lightning 1.9.6 ...

Fully Sharded Training shards the entire model across all available GPUs, allowing you to scale model size, whilst using efficient communication to reduce ...

FSDPStrategy — PyTorch Lightning 1.9.6 documentation

Fully Sharded Training shards the entire model across all available GPUs, allowing you to scale model size, whilst using efficient communication to reduce ...

Regular User — PyTorch Lightning 1.9.6 documentation

implement your training loop with Fabric. PR14998 Fabric. have customized loops Loop.run(). implement your training loop with Fabric.

MPS training (basic) — PyTorch Lightning 1.9.6 documentation

Enable the following Trainer arguments to run on Apple silicon gpus (MPS devices). trainer = Trainer(accelerator= ...

Managing Data — PyTorch Lightning 1.9.6 documentation

Multiple Datasets · Create a DataLoader that iterates over multiple Datasets under the hood. · In the training loop, you can pass multiple DataLoaders as a dict ...

LightningDataModule — PyTorch Lightning 1.9.6 documentation

A DataModule standardizes the training, val, test splits, data preparation and transforms. The main advantage is consistent data splits, data preparation and ...

Versioning Policy — PyTorch Lightning 1.9.6 documentation

Versioning · A patch release contains only bug fixes. · A minor release may contain backwards-incompatible changes with deprecations (unlike SemVer), such as API ...

GPU training (Basic) — PyTorch Lightning 1.9.6 documentation

GPU training (Basic). Audience: Users looking to save money and run large models faster using single or multiple. What is a GPU? A Graphics ...

Hardware agnostic training (preparation) — PyTorch Lightning 1.9.6 ...

Make models pickleable. It's very likely your code is already pickleable, in that case no change in necessary. However, if you run a distributed model and get ...

Remote Filesystems — PyTorch Lightning 1.9.6 documentation

PyTorch Lightning enables working with data from a variety of filesystems, including local filesystems and several cloud storage providers.

Convert PyTorch code to Fabric - Lightning AI

lightning run model path/to/train.py. or use the launch() method in a notebook. Learn more about launching distributed training. All steps combined, this is ...

GPU training (Expert) — PyTorch Lightning 2.4.0 documentation

What is a Strategy? · Launch and teardown of training processes (if applicable). · Setup communication between processes (NCCL, GLOO, MPI, and so on). · Provide a ...

Computing cluster — PyTorch Lightning 1.5.4 documentation

General purpose cluster (not managed) · Using Torch Distributed Run · SLURM cluster · Custom cluster environment · General tips for multi-node training ...

Run on an on-prem cluster (advanced) - Lightning AI

Lightning automates the details behind training on a SLURM-powered cluster. In contrast to the general purpose cluster above, the user does not start the jobs ...

Run on an on-prem cluster (intermediate) - Lightning AI

... PyTorch distributed communication package that need to be defined on each node. Once the script is setup like described in :ref:` Training Script Setup ...

DDP strategy. Training hangs upon distributed GPU initialisation

Run on an on-prem cluster (advanced) — PyTorch Lightning 1.9.0 documentation. 1 Like. awaelchli January 18, 2023, 1:28am 4. @soumickmj Glad you ...

What is a Strategy? — PyTorch Lightning 2.4.0 documentation

Launch and teardown of training processes (if applicable). · Setup communication between processes (NCCL, GLOO, MPI, and so on). · Provide a unified communication ...

Computing cluster — PyTorch Lightning 1.5.8 documentation

General purpose cluster (not managed) · Using Torch Distributed Run · SLURM cluster · Custom cluster environment · General tips for multi-node training ...

Trainer — PyTorch Lightning 2.4.0 documentation

Default: "auto" . num_nodes ( int ) – Number of GPU nodes for distributed training. Default: 1 .

PyTorch Lightning Tutorials

PyTorch Lightning Tutorials. All. Contrastive Learning. Few shot learning. Fine Tuning. GPU. GPU/TPU. Graph. Image. Initialization. Lightning Examples.