diffusers/pr_7973/en/_app/immutable/nodes/3.5e6ab578.js

import{s as rt,n as mt,o as dt}from"../chunks/scheduler.8c3d61f6.js";import{S as lt,i as ft,g as o,s as a,r as c,A as ct,h as r,f as i,c as s,j as C,u,x as Q,k as H,y as w,a as n,v as p,d as h,t as g,w as v}from"../chunks/index.589a98e8.js";import{D as et}from"../chunks/Docstring.27406313.js";import{H as X,E as ut}from"../chunks/EditOnGithub.e5a8d9cb.js";function pt(it){let m,M,q,I,$,z,b,nt="Customized activation functions for supporting various models in 🤗 Diffusers.",S,_,V,d,x,Y,A,at="GELU activation function with tanh approximation support with <code>approximate=&quot;tanh&quot;</code>.",W,G,j,l,L,Z,y,st='A <a href="https://arxiv.org/abs/2002.05202" rel="nofollow">variant</a> of the gated linear unit activation function.',k,E,F,f,U,tt,P,ot=`The approximate form of the Gaussian Error Linear Unit (GELU). For more details, see section 2 of this
<a href="https://arxiv.org/abs/1606.08415" rel="nofollow">paper</a>.`,O,T,R,D,B;return $=new X({props:{title:"Activation functions",local:"activation-functions",headingTag:"h1"}}),_=new X({props:{title:"GELU",local:"diffusers.models.activations.GELU",headingTag:"h2"}}),x=new et({props:{name:"class diffusers.models.activations.GELU",anchor:"diffusers.models.activations.GELU",parameters:[{name:"dim_in",val:": int"},{name:"dim_out",val:": int"},{name:"approximate",val:": str = 'none'"},{name:"bias",val:": bool = True"}],parametersDescription:[{anchor:"diffusers.models.activations.GELU.dim_in",description:"<strong>dim_in</strong> (<code>int</code>) &#x2014; The number of channels in the input.",name:"dim_in"},{anchor:"diffusers.models.activations.GELU.dim_out",description:"<strong>dim_out</strong> (<code>int</code>) &#x2014; The number of channels in the output.",name:"dim_out"},{anchor:"diffusers.models.activations.GELU.approximate",description:"<strong>approximate</strong> (<code>str</code>, <em>optional</em>, defaults to <code>&quot;none&quot;</code>) &#x2014; 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Whether to use a bias in the linear layer.",name:"bias"}],source:"https://github.com/huggingface/diffusers/blob/vr_7973/src/diffusers/models/activations.py#L93"}}),E=new X({props:{title:"ApproximateGELU",local:"diffusers.models.activations.ApproximateGELU",headingTag:"h2"}}),U=new et({props:{name:"class diffusers.models.activations.ApproximateGELU",anchor:"diffusers.models.activations.ApproximateGELU",parameters:[{name:"dim_in",val:": int"},{name:"dim_out",val:": int"},{name:"bias",val:": bool = True"}],parametersDescription:[{anchor:"diffusers.models.activations.ApproximateGELU.dim_in",description:"<strong>dim_in</strong> (<code>int</code>) &#x2014; The number of channels in the input.",name:"dim_in"},{anchor:"diffusers.models.activations.ApproximateGELU.dim_out",description:"<strong>dim_out</strong> (<code>int</code>) &#x2014; The number of channels in the output.",name:"dim_out"},{anchor:"diffusers.models.activations.ApproximateGELU.bias",description:"<strong>bias</strong> (<code>bool</code>, defaults to True) &#x2014; 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