import{s as ie,n as se,o as fe}from"../chunks/scheduler.53228c21.js";import{S as me,i as de,e as r,s as a,c as p,h as pe,a as i,d as n,b as o,f as q,g,j as Q,k as O,l as D,m as l,n as u,t as c,o as _,p as h}from"../chunks/index.100fac89.js";import{C as ge}from"../chunks/CopyLLMTxtMenu.4f0519ef.js";import{D as ee}from"../chunks/Docstring.d02a9fa5.js";import{H as te,E as ue}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.62dbb7c4.js";function ce(ne){let s,I,E,S,v,z,$,H,x,le='Parallelism strategies help speed up diffusion transformers by distributing computations across multiple devices, allowing for faster inference/training times. Refer to the <a href="../training/distributed_inference">Distributed inferece</a> guide to learn more.',U,C,j,f,b,X,M,ae="Configuration for applying different parallelisms.",V,y,A,m,P,Y,L,oe="Configuration for context parallelism.",R,d,N,Z,T,re="Apply context parallel on a model.",G,w,W,k,B;return v=new ge({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),$=new te({props:{title:"Parallelism",local:"parallelism",headingTag:"h1"}}),C=new te({props:{title:"ParallelConfig",local:"diffusers.ParallelConfig",headingTag:"h2"}}),b=new ee({props:{name:"class diffusers.ParallelConfig",anchor:"diffusers.ParallelConfig",parameters:[{name:"context_parallel_config",val:": typing.Optional[diffusers.models._modeling_parallel.ContextParallelConfig] = None"},{name:"_rank",val:": int = None"},{name:"_world_size",val:": int = None"},{name:"_device",val:": device = None"},{name:"_cp_mesh",val:": DeviceMesh = None"}],parametersDescription:[{anchor:"diffusers.ParallelConfig.context_parallel_config",description:`<strong>context_parallel_config</strong> (<code>ContextParallelConfig</code>, <em>optional</em>) &#x2014;
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total number of devices in the context parallel mesh.`,name:"ring_degree"},{anchor:"diffusers.ContextParallelConfig.ulysses_degree",description:`<strong>ulysses_degree</strong> (<code>int</code>, <em>optional</em>, defaults to <code>1</code>) &#x2014;
Number of devices to use for ulysses attention within a context parallel region. Must be a divisor of the
total number of devices in the context parallel mesh.`,name:"ulysses_degree"},{anchor:"diffusers.ContextParallelConfig.convert_to_fp32",description:`<strong>convert_to_fp32</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>True</code>) &#x2014;
Whether to convert output and LSE to float32 for ring attention numerical stability.`,name:"convert_to_fp32"},{anchor:"diffusers.ContextParallelConfig.rotate_method",description:`<strong>rotate_method</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;allgather&quot;</code>) &#x2014;
Method to use for rotating key/value states across devices in ring attention. Currently, only <code>&quot;allgather&quot;</code>
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