- Computing cluster — PyTorch Lightning 1.4.2 documentation🔍
- comet — PyTorch Lightning 2.4.0 documentation🔍
- PyTorch Lightning 1.6.5 documentation🔍
- pytorch_lightning.trainer.trainer — PyTorch Lightning 1.4.4 ...🔍
- Training Tricks — PyTorch Lightning 1.4.2 documentation🔍
- Trainer — PyTorch Lightning 1.9.6 documentation🔍
- PyTorch Lightning 1.8.1 documentation🔍
- Common use cases — PyTorch Lightning 1.6.4 documentation🔍
DataParallelPlugin — PyTorch Lightning 1.4.9 documentation
Computing cluster — PyTorch Lightning 1.4.2 documentation
PyTorch Lightning follows the design of PyTorch distributed communication package. and requires the following environment variables to be defined on each node:.
comet — PyTorch Lightning 2.4.0 documentation
Track your parameters, metrics, source code and more using Comet. Comet Logger. class lightning.pytorch.loggers.comet.
PyTorch Lightning 1.6.5 documentation
PyTorch Lightning is the deep learning framework for professional AI researchers and machine learning engineers who need maximal flexibility without ...
pytorch_lightning.trainer.trainer — PyTorch Lightning 1.4.4 ...
[docs] @_defaults_from_env_vars def __init__( self, logger: Union[LightningLoggerBase, Iterable[LightningLoggerBase], bool] = True, checkpoint_callback: ...
Training Tricks — PyTorch Lightning 1.4.2 documentation
Lightning implements various tricks to help during training. Accumulate gradients. Accumulated gradients runs K small batches of size N before doing a ...
Trainer — PyTorch Lightning 1.9.6 documentation
Once you've organized your PyTorch code into a LightningModule, the Trainer automates everything else.
PyTorch Lightning 1.8.1 documentation
PyTorch Lightning is the deep learning framework for professional AI researchers and machine learning engineers who need maximal flexibility without sacrificing ...
Overview: module code — PyTorch Lightning 1.9.3 documentation
All modules for which code is available ... Built with Sphinx using a theme provided by Read the Docs. To analyze traffic and optimize your experience, we serve ...
Common use cases — PyTorch Lightning 1.6.4 documentation
To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. Read PyTorch ...
How to Organize PyTorch Into Lightning
3. Configure the Training Logic. Lightning automates the training loop for you and manages all of the associated components such as: epoch and batch tracking, ...
seed — PyTorch Lightning 1.9.0 documentation
A context manager that resets the global random state on exit to what it was before entering. It supports isolating the states for PyTorch, Numpy, and Python.
Trainer — PyTorch Lightning 2.4.0 documentation
Trainer · torch.utils.data. · shuffle=True for the train sampler and · shuffle=False for validation/test/predict samplers. If you want to disable this logic, you ...
Sequential Data — PyTorch Lightning 1.4.4 documentation
For example, it may save memory to use Truncated Backpropagation Through Time when training RNNs. Lightning can handle TBTT automatically via this flag. from ...
LightningModule — PyTorch Lightning 2.4.0 documentation
Gather tensors or collections of tensors from multiple processes. This method needs to be called on all processes and the tensors need to have the same shape ...
Logging — PyTorch Lightning 2.4.0 documentation
By default, Lightning uses TensorBoard logger under the hood, and stores the logs to a directory (by default in lightning_logs/ ). from lightning.pytorch import ...
Glossary — PyTorch Lightning 2.4.0 documentation
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PyTorch Lightning 1.4.4 documentation - HorovodPlugin
Plugin for Horovod distributed training integration. Perform a all_gather on all processes. Broadcasts an object to all processes. Run after precision plugin ...
What is a Strategy? — PyTorch Lightning 2.4.0 documentation
Strategy controls the model distribution across training, evaluation, and prediction to be used by the Trainer.
PyTorch Lightning 1.8.0 documentation
PyTorch Lightning is the deep learning framework for professional AI researchers and machine learning engineers who need maximal flexibility without ...
Installation — PyTorch Lightning 1.6.3 documentation
PyTorch Lightning is maintained and tested on different Python and PyTorch versions. Check out the CI Coverage for more info. It is rigorously tested across ...