File size: 2,685 Bytes
c13737d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | - sections:
- local: index
title: 🤗 Accelerate
- local: basic_tutorials/install
title: Installation
- local: quicktour
title: Quicktour
title: Getting started
- sections:
- local: basic_tutorials/overview
title: Overview
- local: basic_tutorials/migration
title: Migrating to 🤗 Accelerate
- local: basic_tutorials/launch
title: Launching distributed code
- local: basic_tutorials/notebook
title: Launching distributed training from Jupyter Notebooks
title: Tutorials
- sections:
- local: usage_guides/training_zoo
title: Example Zoo
- local: usage_guides/big_modeling
title: How perform inference on large models with small resources
- local: usage_guides/gradient_accumulation
title: Performing gradient accumulation
- local: usage_guides/checkpoint
title: Saving and loading training states
- local: usage_guides/tracking
title: Using experiment trackers
- local: usage_guides/memory
title: How to avoid CUDA Out-of-Memory
- local: usage_guides/mps
title: How to use Apple Silicon M1 GPUs
- local: usage_guides/deepspeed
title: How to use DeepSpeed
- local: usage_guides/fsdp
title: How to use Fully Sharded Data Parallelism
- local: usage_guides/megatron_lm
title: How to use Megatron-LM
- local: usage_guides/sagemaker
title: How to use 🤗 Accelerate with SageMaker
title: How-To Guides
- sections:
- local: concept_guides/performance
title: Comparing performance across distributed setups
- local: concept_guides/deferring_execution
title: Executing and deferring jobs
- local: concept_guides/gradient_synchronization
title: Gradient synchronization
- local: concept_guides/training_tpu
title: TPU best practices
title: Concepts and fundamentals
- sections:
- local: package_reference/accelerator
title: Main Accelerator class
- local: package_reference/state
title: Stateful configuration classes
- local: package_reference/cli
title: The Command Line
- local: package_reference/torch_wrappers
title: Torch wrapper classes
- local: package_reference/tracking
title: Experiment trackers
- local: package_reference/launchers
title: Distributed launchers
- local: package_reference/deepspeed
title: DeepSpeed utilities
- local: package_reference/logging
title: Logging
- local: package_reference/big_modeling
title: Working with large models
- local: package_reference/kwargs
title: Kwargs handlers
- local: package_reference/utilities
title: Utility functions and classes
- local: package_reference/megatron_lm
title: Megatron-LM Utilities
title: "Reference" |