Accelerate config. Will default to a file named default_config.
Accelerate config Follow 可选参数:--config_file CONFIG_FILE (str) -- 用于存储配置文件的路径。默认为缓存位置中的一个名为 default_config. 为什么它如此有用，以至于你应该始终运行 accelerate config 呢？ 还记得之前对 accelerate launch 以及 torchrun 的调用吗？配置后，要使用所需的部分运行该脚本，你只需直接使用 accelerate launch，而无需传入任何其他内容 可选参数:--config_file CONFIG_FILE (str) — 用于存储配置文件的路径。默认情况下，将使用缓存位置中名为 default_config. Accelerate is tested on Python 3. To install Accelerate from pypi, perform: 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed suppo. The `accelerate config` command helps set up the configuration for distributed training with Hugging Face Accelerate. Improve this answer. yaml 的文件，该位置是环境变量 HF_HOME 的内容后缀为 accelerate，或者如果你没有这样的环境变量，则为缓存目录（~/. yaml in the cache location, which is the content of the environment HF_HOME suffixed with ‘accelerate’, or if you don’t have such an environment variable, your cache directory (~/. In this case, Accelerate will make some hyperparameter decisions for you, e. distributed. Share. See full list on github. py --args_for_the_script このとき，メインプロセスのみで実行したかったり，他プロセスの実行を待ちたい場合(モデルのセーブなど)には以下のメソッドが Before you start, you will need to setup your environment, install the appropriate packages, and configure Accelerate. yaml 的文件，缓存位置是环境变量 HF_HOME 后缀为 ‘accelerate’ 的内容，或者如果您没有这样的环境变量，则为您的缓存目录 (~/. Will default to a file named default_config. Accelerate is available on pypi and conda, as well as on GitHub. Details to install from each are below: pip. run or to write a specific launcher for TPU training! On your machine(s) just run: accelerate config and answer the questions asked. , if GPUs are available, it will use all of them by default without the mixed precision. g. Optional Arguments:--config_file CONFIG_FILE (str) — The path to use to store the config file. In which compute environment are you Jul 12, 2023 · Note: While configuring accelerate config, make sure give GPU Ids with comma separation (do not write all). com Dec 12, 2023 · Py之accelerate：accelerate的简介、安装、使用方法之详细攻略 目录 accelerate的简介 accelerate的安装 accelerate的使用方法 accelerate的简介 Accelerate 是一个为 PyTorch 用户设计的库，旨在帮助简化分布式训练和混合精度训练的过程。它提供了一种简单且灵活的方式来加速和 May 15, 2025 · 🤗 Accelerate also provides an optional CLI tool that allows you to quickly configure and test your training environment before launching the scripts. accelerate config. cache or the content of XDG_CACHE_HOME) suffixed with huggingface. Accelerate offers an interactive QA menu to setup your ideal config file. 8+. You can start this menu using the command. Oct 4, 2023 · 之前跑多卡并行一直用的 DaraParallel，存在负载不均衡的问题。从师兄那里了解到 Accelerate 库，折腾了一阵子，解决了多卡并行负载均衡和混合精度训练的问题。 You can also use accelerate launch without performing accelerate config first, but you may need to manually pass in the right configuration parameters. No need to remember how to use torch. cache 或 XDG_CACHE_HOME 的内容）后缀为 huggingface。 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed suppo 为什么你应该始终使用 accelerate config. cache 或 XDG_CACHE_HOME 的内容) 后缀为 huggingface。 首先在命令行中运行 accelerate config，回答一系列关于您的训练系统的问题。这将创建并保存一个配置文件，以帮助 Accelerate 根据您的设置正确配置训练。 Nov 30, 2022 · > accelerate -h usage: accelerate <command> [<args>] positional arguments: {config,env,launch,tpu-config,test} accelerate command helpers options: -h, --help show this help message and exit 以上、Accelerateの設定を説明しました。 Optional Arguments:--config_file CONFIG_FILE (str) — The path to use to store the config file. It provides an interactive command-line interface to configure hardware settings, Nov 18, 2024 · Accelerate Config. Q1. 建议总是在 accelerate launch 之前执行 accelerate config ，这样就无需再 accelerate launch 中指定各种配置。 在 notebook 中 launch ： 确保任何使用 CUDA 的代码在一个函数中，该函数被传递给 notebook_launcher() 。 Dec 17, 2023 · 既存のモデルをDeepSpeed等（その他の最適化も選べる）を利用するように変換し、並列処理や、混合精度トレーニングを自動的にサポートしてくれる。 Sep 27, 2021 · # ノード数やGPU数，FP16を使うかどうかの質問に答える． $ accelerate config # その後 $ accelerate launch path_to_script. yilgnpcncuxrhlrvaclsgzsbqrxawalkiotcdsufkvqpmycnsc