import{s as Y,o as ee,n as te}from"../chunks/scheduler.25b97de1.js";import{S as re,i as ne,g as l,s as i,r as C,A as ae,h as m,f as r,c as o,j as N,u as x,x as H,k as W,y as v,a,v as P,d as L,t as M,w as j}from"../chunks/index.d9030fc9.js";import{T as se}from"../chunks/Tip.baa67368.js";import{D as ie}from"../chunks/Docstring.e257edda.js";import{H as X,E as oe}from"../chunks/EditOnGithub.91d95064.js";function pe(k){let n,d='Learn more about using DeepSpeed with <a href="/docs/transformers/pr_30862/en/main_classes/trainer#transformers.Trainer">Trainer</a> in the <a href="../deepspeed">DeepSpeed</a> guide.';return{c(){n=l("p"),n.innerHTML=d},l(p){n=m(p,"P",{"data-svelte-h":!0}),H(n)!=="svelte-cfpjt8"&&(n.innerHTML=d)},m(p,T){a(p,n,T)},p:te,d(p){p&&r(n)}}}function fe(k){let n,d,p,T,g,z,u,B='<a href="https://github.com/microsoft/DeepSpeed" rel="nofollow">DeepSpeed</a>, powered by Zero Redundancy Optimizer (ZeRO), is an optimization library for training and fitting very large models onto a GPU. It is available in several ZeRO stages, where each stage progressively saves more GPU memory by partitioning the optimizer state, gradients, parameters, and enabling offloading to a CPU or NVMe. DeepSpeed is integrated with the <a href="/docs/transformers/pr_30862/en/main_classes/trainer#transformers.Trainer">Trainer</a> class and most of the setup is automatically taken care of for you.',E,h,F='However, if you want to use DeepSpeed without the <a href="/docs/transformers/pr_30862/en/main_classes/trainer#transformers.Trainer">Trainer</a>, Transformers provides a <code>HfDeepSpeedConfig</code> class.',q,c,A,_,U,s,$,Z,D,J="This object contains a DeepSpeed configuration dictionary and can be quickly queried for things like zero stage.",I,w,K=`A <code>weakref</code> of this object is stored in the module’s globals to be able to access the config from areas where
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it’s important that this object remains alive while the program is still running.`,V,S,Q=`<a href="/docs/transformers/pr_30862/en/main_classes/trainer#transformers.Trainer">Trainer</a> uses the <code>HfTrainerDeepSpeedConfig</code> subclass instead. That subclass has logic to sync the configuration
with values of <a href="/docs/transformers/pr_30862/en/main_classes/trainer#transformers.TrainingArguments">TrainingArguments</a> by replacing special placeholder values: <code>&quot;auto&quot;</code>. Without this special logic
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