Buckets:

rtrm's picture
download
raw
5.57 kB
import{s as W,n as X,o as Y}from"../chunks/scheduler.852ec091.js";import{S as Z,i as ee,g as w,s as n,r as m,A as te,h as T,f as a,c as s,j as E,u as p,x as ae,k as P,y as re,a as r,v as l,d as o,t as b,w as d}from"../chunks/index.28275fd3.js";import{D as O}from"../chunks/Docstring.395987e7.js";import{H as G,E as ne}from"../chunks/EditOnGithub.582011f0.js";function se(U){let i,L,x,z,c,k,$,B="RMSprop is an adaptive learning rate optimizer that is very similar to <code>Adagrad</code>. RMSprop stores a <em>weighted average</em> of the squared past gradients for each parameter and uses it to scale their learning rate. This allows the learning rate to be automatically lower or higher depending on the magnitude of the gradient, and it prevents the learning rate from diminishing.",H,g,A,f,v,F,u,I,h,_,N,y,V,M,S,q,R,C,D,j;return c=new G({props:{title:"RMSprop",local:"rmsprop",headingTag:"h1"}}),g=new G({props:{title:"RMSprop",local:"api-class ][ bitsandbytes.optim.RMSprop",headingTag:"h2"}}),v=new O({props:{name:"class bitsandbytes.optim.RMSprop",anchor:"bitsandbytes.optim.RMSprop",parameters:[{name:"params",val:""},{name:"lr",val:" = 0.01"},{name:"alpha",val:" = 0.99"},{name:"eps",val:" = 1e-08"},{name:"weight_decay",val:" = 0"},{name:"momentum",val:" = 0"},{name:"centered",val:" = False"},{name:"optim_bits",val:" = 32"},{name:"args",val:" = None"},{name:"min_8bit_size",val:" = 4096"},{name:"percentile_clipping",val:" = 100"},{name:"block_wise",val:" = True"}],source:"https://github.com/TimDettmers/bitsandbytes/blob/vr_1273/src/bitsandbytes/optim/rmsprop.py#L8"}}),u=new G({props:{title:"RMSprop8bit",local:"bitsandbytes.optim.RMSprop8bit",headingTag:"h2"}}),_=new O({props:{name:"class bitsandbytes.optim.RMSprop8bit",anchor:"bitsandbytes.optim.RMSprop8bit",parameters:[{name:"params",val:""},{name:"lr",val:" = 0.01"},{name:"alpha",val:" = 0.99"},{name:"eps",val:" = 1e-08"},{name:"weight_decay",val:" = 0"},{name:"momentum",val:" = 0"},{name:"centered",val:" = False"},{name:"args",val:" = None"},{name:"min_8bit_size",val:" = 4096"},{name:"percentile_clipping",val:" = 100"},{name:"block_wise",val:" = True"}],source:"https://github.com/TimDettmers/bitsandbytes/blob/vr_1273/src/bitsandbytes/optim/rmsprop.py#L72"}}),y=new G({props:{title:"RMSprop32bit",local:"bitsandbytes.optim.RMSprop32bit",headingTag:"h2"}}),S=new O({props:{name:"class bitsandbytes.optim.RMSprop32bit",anchor:"bitsandbytes.optim.RMSprop32bit",parameters:[{name:"params",val:""},{name:"lr",val:" = 0.01"},{name:"alpha",val:" = 0.99"},{name:"eps",val:" = 1e-08"},{name:"weight_decay",val:" = 0"},{name:"momentum",val:" = 0"},{name:"centered",val:" = False"},{name:"args",val:" = None"},{name:"min_8bit_size",val:" = 4096"},{name:"percentile_clipping",val:" = 100"},{name:"block_wise",val:" = True"}],source:"https://github.com/TimDettmers/bitsandbytes/blob/vr_1273/src/bitsandbytes/optim/rmsprop.py#L135"}}),R=new ne({props:{source:"https://github.com/TimDettmers/bitsandbytes/blob/main/docs/source/reference/optim/rmsprop.mdx"}}),{c(){i=w("meta"),L=n(),x=w("p"),z=n(),m(c.$$.fragment),k=n(),$=w("p"),$.innerHTML=B,H=n(),m(g.$$.fragment),A=n(),f=w("div"),m(v.$$.fragment),F=n(),m(u.$$.fragment),I=n(),h=w("div"),m(_.$$.fragment),N=n(),m(y.$$.fragment),V=n(),M=w("div"),m(S.$$.fragment),q=n(),m(R.$$.fragment),C=n(),D=w("p"),this.h()},l(e){const t=te("svelte-u9bgzb",document.head);i=T(t,"META",{name:!0,content:!0}),t.forEach(a),L=s(e),x=T(e,"P",{}),E(x).forEach(a),z=s(e),p(c.$$.fragment,e),k=s(e),$=T(e,"P",{"data-svelte-h":!0}),ae($)!=="svelte-10gcog"&&($.innerHTML=B),H=s(e),p(g.$$.fragment,e),A=s(e),f=T(e,"DIV",{class:!0});var J=E(f);p(v.$$.fragment,J),J.forEach(a),F=s(e),p(u.$$.fragment,e),I=s(e),h=T(e,"DIV",{class:!0});var K=E(h);p(_.$$.fragment,K),K.forEach(a),N=s(e),p(y.$$.fragment,e),V=s(e),M=T(e,"DIV",{class:!0});var Q=E(M);p(S.$$.fragment,Q),Q.forEach(a),q=s(e),p(R.$$.fragment,e),C=s(e),D=T(e,"P",{}),E(D).forEach(a),this.h()},h(){P(i,"name","hf:doc:metadata"),P(i,"content",ie),P(f,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),P(h,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),P(M,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8")},m(e,t){re(document.head,i),r(e,L,t),r(e,x,t),r(e,z,t),l(c,e,t),r(e,k,t),r(e,$,t),r(e,H,t),l(g,e,t),r(e,A,t),r(e,f,t),l(v,f,null),r(e,F,t),l(u,e,t),r(e,I,t),r(e,h,t),l(_,h,null),r(e,N,t),l(y,e,t),r(e,V,t),r(e,M,t),l(S,M,null),r(e,q,t),l(R,e,t),r(e,C,t),r(e,D,t),j=!0},p:X,i(e){j||(o(c.$$.fragment,e),o(g.$$.fragment,e),o(v.$$.fragment,e),o(u.$$.fragment,e),o(_.$$.fragment,e),o(y.$$.fragment,e),o(S.$$.fragment,e),o(R.$$.fragment,e),j=!0)},o(e){b(c.$$.fragment,e),b(g.$$.fragment,e),b(v.$$.fragment,e),b(u.$$.fragment,e),b(_.$$.fragment,e),b(y.$$.fragment,e),b(S.$$.fragment,e),b(R.$$.fragment,e),j=!1},d(e){e&&(a(L),a(x),a(z),a(k),a($),a(H),a(A),a(f),a(F),a(I),a(h),a(N),a(V),a(M),a(q),a(C),a(D)),a(i),d(c,e),d(g,e),d(v),d(u,e),d(_),d(y,e),d(S),d(R,e)}}}const ie='{"title":"RMSprop","local":"rmsprop","sections":[{"title":"RMSprop","local":"api-class ][ bitsandbytes.optim.RMSprop","sections":[],"depth":2},{"title":"RMSprop8bit","local":"bitsandbytes.optim.RMSprop8bit","sections":[],"depth":2},{"title":"RMSprop32bit","local":"bitsandbytes.optim.RMSprop32bit","sections":[],"depth":2}],"depth":1}';function me(U){return Y(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class de extends Z{constructor(i){super(),ee(this,i,me,se,W,{})}}export{de as component};

Xet Storage Details

Size:
5.57 kB
·
Xet hash:
bc33f461b9dc3b15f1a5d82fcb293da18992061bf5f2efa470c9a29c8649e5ce

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.