PyTorch Lightning 1.4.9 documentation

PyTorch Lightning 1.4.9 documentation - Read the Docs

PyTorch Lightning Documentation ... Getting started ... Best practices ... Lightning API ... Optional extensions ... Tutorials ... API References ... Bolts ... Examples.

AdvancedProfiler — PyTorch Lightning 1.4.9 documentation

AdvancedProfiler ... This profiler uses Python's cProfiler to record more detailed information about time spent in each function call recorded during a given ...

Hyperparameters — PyTorch Lightning 1.4.9 documentation

LightningModule hyperparameters · The first way is to ask lightning to save the values of anything in the __init__ for you to the checkpoint. This also makes ...

BaseProfiler — PyTorch Lightning 1.4.9 documentation

Yields a context manager to encapsulate the scope of a profiled action. Example: with self.profile('load training data'): ...

seed — PyTorch Lightning 1.4.9 documentation

The worker_init_fn that Lightning automatically adds to your dataloader if you previously set set the seed with seed_everything(seed, workers=True) . See also ...

Callback — PyTorch Lightning 1.4.9 documentation

Callbacks should capture NON-ESSENTIAL logic that is NOT required for your lightning module to run. Here's the flow of how the callback hooks are executed: An ...

DataParallelPlugin — PyTorch Lightning 1.4.9 documentation

DataParallelPlugin ... Implements data-parallel training in a single process, i.e., the model gets replicated to each device and each gets a split of the data.

DDPSpawnShardedPlugin — PyTorch Lightning 1.4.9 documentation

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pytorch-lightning - PyPI

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

Plugins — PyTorch Lightning 1.4.9 documentation

Plugins · New hardware (like TPU plugin) · Distributed backends (e.g. a backend not yet supported by PyTorch itself) · Clusters (e.g. customized access to the ...

DoublePrecisionPlugin — PyTorch Lightning 1.4.9 documentation

Plugin for training with double ( torch.float64 ) precision. connect(model, optimizers, ...

PT Lightning | Read the Docs

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

TorchElasticEnvironment — PyTorch Lightning 1.4.9 documentation

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Releases · Lightning-AI/pytorch-lightning - GitHub

PyTorch Lightning · Triggering KeyboardInterrupt (Ctrl+C) during .fit() , .evaluate() , .test() or . · Changed the implementation of how seeds are chosen for ...

NeptuneLogger — PyTorch Lightning 1.4.9 documentation

ImportError – If required Neptune package is not installed on the device. append_tags(tags) ...

Lightning-AI/pytorch-lightning: Pretrain, finetune ANY AI model of ...

Check out LitServe, the PyTorch Lightning for model serving. Quick start • Examples • PyTorch Lightning • Fabric • Lightning AI • Community • Docs · PyPI ...

ApexMixedPrecisionPlugin — PyTorch Lightning 1.4.9 documentation

ApexMixedPrecisionPlugin. class pytorch_lightning.plugins.precision.ApexMixedPrecisionPlugin(amp_level='O2')[source].

Pytorch Lightning - conda install - Anaconda.org

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. ... Documentation. https://pytorch-lightning.readthedocs.io/en/latest; https ...

Pytorch Lightning set up on Jetson Nano/Xavier NX

The requirements.txt has been changed and no longer has torchvision and scikit-learn as one of the requirements. However, it seems to seek a ...

Past PyTorch Lightning versions

PyTorch Lightning evolved over time. Here's the history of versions with links to their respective docs. To help you with keeping up to speed, check Migration ...