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0.9.0

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Lightning in 3 steps
Step-by-step walk-through
Fast Performance

Python API

Callback
LightningModule
LightningDataModule
Loggers
Metrics
Result
Trainer

Bolts

Bolts

Community Examples

Contextual Emotion Detection (DoubleDistilBert)
Cotatron: Transcription-Guided Speech Encoder
FasterRCNN object detection + Hydra
Hyperparameter optimization with Optuna
Hyperparameter optimization with Ray Tune
Image Inpainting using Partial Convolutions
MNIST on TPU
NER (transformers, TPU)
NeuralTexture (CVPR)
Recurrent Attentive Neural Process
Siamese Nets for One-shot Image Recognition
Speech Transformers
Transformers transfer learning (Huggingface)
Transformers text classification
VAE Library of over 18+ VAE flavors
Transformers Question Answering (SQuAD)
Atlas: End-to-End 3D Scene Reconstruction from Posed Images

Tutorials

PyTorch Lightning 101 class
From PyTorch to PyTorch Lightning
Video on how to refactor PyTorch into PyTorch Lightning

Recommended Lightning Project Layout

Lightning project seed

Common Use Cases

16-bit training
Computing cluster (SLURM)
Child Modules
Debugging
Experiment Logging
Experiment Reporting
Early stopping
Fast Training
Model Hooks
Hyperparameters
Learning Rate Finder
Multi-GPU training
Multiple Datasets
Saving and loading weights
Optimization
Performance and Bottleneck Profiler
Single GPU Training
Sequential Data
Training Tricks
Transfer Learning
TPU support
Test set
Inference in Production

Community

Contributor Covenant Code of Conduct
Contributing
How to become a core contributor
Pytorch Lightning Governance | Persons of interest

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pytorch_lightning.trainer.ignored_warnings module
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pytorch_lightning.trainer.ignored_warnings module¶

pytorch_lightning.trainer.ignored_warnings.ignore_scalar_return_in_dp()[source]¶

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pytorch_lightning.trainer.ignored_warnings module

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