revert docs
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Eden Afek
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.. toctree::
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:maxdepth: 1
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:hidden:
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generated/CODE_OF_CONDUCT.md
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generated/CONTRIBUTING.md
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generated/BECOMING_A_CORE_CONTRIBUTOR.md
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governance
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versioning
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past_versions
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generated/CHANGELOG.md
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#########
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Community
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#########
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.. raw:: html
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<div class="display-card-container">
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<div class="row">
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.. displayitem::
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:header: Code of conduct
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:description: Contributor Covenant Code of Conduct
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:col_css: col-md-12
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:button_link: ../generated/CODE_OF_CONDUCT.html
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:height: 100
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.. displayitem::
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:header: Contribution guide
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:description: How to contribute to PyTorch Lightning
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:col_css: col-md-12
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:button_link: ../generated/CONTRIBUTING.html
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:height: 100
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.. displayitem::
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:header: How to Become a core contributor
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:description: Steps to be a core contributor
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:col_css: col-md-12
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:button_link: ../generated/BECOMING_A_CORE_CONTRIBUTOR.html
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:height: 100
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.. displayitem::
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:header: Lightning Governance
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:description: The governance processes we follow
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:col_css: col-md-12
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:button_link: governance.html
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:height: 100
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.. displayitem::
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:header: Versioning
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:description: PyTorch Lightning's versioning policy
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:col_css: col-md-12
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:button_link: versioning.html
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:height: 100
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.. displayitem::
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:header: Past PyTorch Lightning versions
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:description: Docs and upgrade guide for past versions
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:col_css: col-md-12
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:button_link: past_versions.html
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:height: 100
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.. displayitem::
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:header: Changelog
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:description: All notable changes to PyTorch Lightning
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:col_css: col-md-12
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:button_link: ../generated/CHANGELOG.html
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:height: 100
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@ -1,281 +0,0 @@
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########
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Glossary
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########
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.. raw:: html
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<div class="display-card-container">
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<div class="row">
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.. displayitem::
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:header: Accelerators
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:description: Use accelerators to train faster.
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:col_css: col-md-12
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:button_link: ../extensions/accelerator.html
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:height: 100
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.. displayitem::
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:header: Callback
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:description: Add arbitrary self-contained programs
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:col_css: col-md-12
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:button_link: ../extensions/callbacks.html
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:height: 100
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.. displayitem::
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:header: Checkpointing
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:description: Save and load progress with checkpoints
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:col_css: col-md-12
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:button_link: ../common/checkpointing.html
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:height: 100
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.. displayitem::
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:header: Cluster
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:description: Run on your own group of servers
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:col_css: col-md-12
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:button_link: ../clouds/cluster.html
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:height: 100
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.. displayitem::
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:header: Cloud checkpoint
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:description: Save your models to cloud filesystems
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:col_css: col-md-12
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:button_link: ../common/checkpointing_advanced.html
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:height: 100
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.. displayitem::
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:header: Console Logging
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:description: Capture more visible logs
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:col_css: col-md-12
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:button_link: ../common/console_logs.html
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:height: 100
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.. displayitem::
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:header: Debugging
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:description: Fix errors in your code
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:col_css: col-md-12
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:button_link: ../debug/debugging.html
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:height: 100
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.. displayitem::
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:header: Early stopping
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:description: Stop the training when no improvement is observed
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:col_css: col-md-12
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:button_link: ../common/early_stopping.html
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:height: 100
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.. displayitem::
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:header: Experiment manager (Logger)
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:description: Tools for tracking and visualizing artifacts and logs
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:col_css: col-md-12
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:button_link: ../visualize/experiment_managers.html
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:height: 100
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.. displayitem::
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:header: Finetuning
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:description: Technique for training pretrained models
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:col_css: col-md-12
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:button_link: ../advanced/finetuning.html
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:height: 100
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.. displayitem::
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:header: GPU
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:description: Graphics Processing Unit for faster training
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:col_css: col-md-12
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:button_link: ../accelerators/gpu.html
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:height: 100
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.. displayitem::
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:header: Half precision
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:description: Using different numerical formats to save memory and run fatser
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:col_css: col-md-12
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:button_link: ../common/precision.html
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:height: 100
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.. displayitem::
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:header: HPU
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:description: Habana Gaudi AI Processor Unit for faster training
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:col_css: col-md-12
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:button_link: ../accelerators/hpu.html
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:height: 100
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.. displayitem::
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:header: Inference
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:description: Making predictions by applying a trained model to unlabeled examples
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:col_css: col-md-12
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:button_link: ../deploy/production_intermediate.html
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:height: 100
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.. displayitem::
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:header: IPU
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:description: Graphcore Intelligence Processing Unit for faster training
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:col_css: col-md-12
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:button_link: ../accelerators/ipu.html
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:height: 100
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.. displayitem::
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:header: Lightning CLI
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:description: A Command-line Interface (CLI) to interact with Lightning code via a terminal
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:col_css: col-md-12
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:button_link: ../cli/lightning_cli.html
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:height: 100
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.. displayitem::
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:header: LightningDataModule
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:description: A shareable, reusable class that encapsulates all the steps needed to process data
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:col_css: col-md-12
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:button_link: ../data/datamodule.html
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:height: 100
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.. displayitem::
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:header: LightningModule
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:description: A base class organizug your neural network module
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:col_css: col-md-12
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:button_link: ../common/lightning_module.html
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:height: 100
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.. displayitem::
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:header: Log
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:description: Outpus or results used for visualization and tracking
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:col_css: col-md-12
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:button_link: ../visualize/loggers.html
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:height: 100
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.. displayitem::
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:header: Metrics
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:description: A statistic used to measure performance or other objectives we want to optimize
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:col_css: col-md-12
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:button_link: https://torchmetrics.readthedocs.io/en/stable/
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:height: 100
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.. displayitem::
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:header: Model
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:description: The set of parameters and structure needed for a system to make predictions
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:col_css: col-md-12
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:button_link: ../model/build_model.html
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:height: 100
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.. displayitem::
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:header: Model Parallelism
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:description: A way to scale training that splits a model between multiple devices.
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:col_css: col-md-12
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:button_link: ../advanced/model_parallel.html
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:height: 100
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.. displayitem::
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:header: Plugins
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:description: Custom trainer integrations such as custom precision, checkpointing or cluster environment implementation
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:col_css: col-md-12
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:button_link: ../extensions/plugins.html
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:height: 100
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.. displayitem::
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:header: Progress bar
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:description: Output printed to the terminal to visualize the progression of training
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:col_css: col-md-12
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:button_link: ../common/progress_bar.html
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:height: 100
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.. displayitem::
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:header: Production
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:description: Using ML models in real world systems
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:col_css: col-md-12
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:button_link: ../deploy/production_advanced.html
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:height: 100
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.. displayitem::
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:header: Prediction
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:description: Computing a model's output
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:col_css: col-md-12
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:button_link: ../deploy/production_basic.html
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:height: 100
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.. displayitem::
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:header: Pretrained models
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:description: Models that have already been trained for a particular task
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:col_css: col-md-12
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:button_link: ../advanced/pretrained.html
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:height: 100
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.. displayitem::
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:header: Profiler
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:description: Tool to identify bottlenecks and performance of different parts of a model
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:col_css: col-md-12
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:button_link: ../tuning/profiler.html
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:height: 100
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.. displayitem::
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:header: Pruning
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:description: A technique to eliminae some of the model weights to reduce the model size and decrease inference requirements
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:col_css: col-md-12
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:button_link: ../advanced/pruning_quantization.html
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:height: 100
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.. displayitem::
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:header: Quantization
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:description: A technique to accelerate the model inference speed and decrease the memory load while still maintaining the model accuracy
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:col_css: col-md-12
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:button_link: ../advanced/post_training_quantization.html
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:height: 100
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.. displayitem::
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:header: Remote filesystem and FSSPEC
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:description: Accessing files from cloud storage providers
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:col_css: col-md-12
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:button_link: ../common/remote_fs.html
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:height: 100
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.. displayitem::
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:header: Strategy
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:description: Ways the trainer controls the model distribution across training, evaluation, and prediction
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:col_css: col-md-12
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:button_link: ../extensions/strategy.html
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:height: 100
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.. displayitem::
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:header: Strategy registry
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:description: A class that holds information about training strategies and allows adding new custom strategies
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:col_css: col-md-12
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:button_link: ../advanced/strategy_registry.html
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:height: 100
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.. displayitem::
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:header: Style guide
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:description: Best practices to improve readability and reproducability
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:col_css: col-md-12
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:button_link: ../starter/style_guide.html
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:height: 100
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.. displayitem::
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:header: SWA
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:description: Stochastic Weight Averaging (SWA) can make your models generalize better
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:col_css: col-md-12
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:button_link: ../advanced/training_tricks.html#stochastic-weight-averaging
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:height: 100
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:header: SLURM
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:description: Simple Linux Utility for Resource Management, or simply Slurm, is a free and open-source job scheduler for Linux clusters
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:col_css: col-md-12
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:button_link: ../clouds/cluster_advanced.html
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:height: 100
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.. displayitem::
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:header: Transfer learning
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:description: Transferring information from one machine learning task to another
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:col_css: col-md-12
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:button_link: ../advanced/transfer_learning.html
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:height: 100
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.. displayitem::
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:header: Trainer
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:description: The class that automates and customizes model training
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:col_css: col-md-12
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:button_link: ../common/trainer.html
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:height: 100
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.. displayitem::
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:header: Torch distributed
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:description: Setup for running on distributed environments
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:col_css: col-md-12
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:button_link: ../clouds/cluster_intermediate_2.html
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:height: 100
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