diff --git a/assets/Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js b/assets/Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js similarity index 87% rename from assets/Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js rename to assets/Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js index f9f8bb09e67cf0a5a26d8d7a69bb2f06e7149b30..034aac41afafb4d83508b76c5024123df34ec74c 100644 --- a/assets/Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js +++ b/assets/Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js @@ -1 +1 @@ -import{_ as d}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import{d as p,bF as m,bG as f,af as b,c,o as v,p as r,b as y,bS as u,bT as V,y as C,C as g,bQ as k,a as s,bH as x,D as i}from"./index-rD0Uu1v9.js";const B={op50:""},w=p({__name:"Collapsable",props:m({default:{type:Boolean},label:null},{modelValue:{type:Boolean,default:!1},modelModifiers:{}}),emits:["update:modelValue"],setup(o){const t=o,e=f(o,"modelValue");b(()=>{t.default!=null&&(e.value=!!t.default)});function n(l){return e.value=l,l}return(l,a)=>(v(),c("div",null,[r(l.$slots,"trigger",u(V({visible:e.value,setVisible:n})),()=>[s("button",{sticky:"","top-0":"","z-10":"",flex:"","items-center":"","justify-between":"",px2:"",py1:"","text-sm":"","backdrop-blur-xl":"",onClick:a[0]||(a[0]=_=>e.value=!e.value)},[s("span",null,i(t.label??"Collapsable"),1),a[1]||(a[1]=x()),s("span",B,i(e.value?"▲":"▼"),1)])]),y(d,null,{default:C(()=>[e.value?r(l.$slots,"default",u(k({key:0},{visible:e.value,setVisible:n}))):g("",!0)]),_:3})]))}});export{w as _}; +import{_ as d}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import{d as p,bF as m,bG as f,af as b,c,o as v,p as r,b as y,bS as u,bT as V,y as C,C as g,bQ as k,a as s,bH as x,D as i}from"./index-Dlp4W1Zl.js";const B={op50:""},w=p({__name:"Collapsable",props:m({default:{type:Boolean},label:null},{modelValue:{type:Boolean,default:!1},modelModifiers:{}}),emits:["update:modelValue"],setup(o){const t=o,e=f(o,"modelValue");b(()=>{t.default!=null&&(e.value=!!t.default)});function n(l){return e.value=l,l}return(l,a)=>(v(),c("div",null,[r(l.$slots,"trigger",u(V({visible:e.value,setVisible:n})),()=>[s("button",{sticky:"","top-0":"","z-10":"",flex:"","items-center":"","justify-between":"",px2:"",py1:"","text-sm":"","backdrop-blur-xl":"",onClick:a[0]||(a[0]=_=>e.value=!e.value)},[s("span",null,i(t.label??"Collapsable"),1),a[1]||(a[1]=x()),s("span",B,i(e.value?"▲":"▼"),1)])]),y(d,null,{default:C(()=>[e.value?r(l.$slots,"default",u(k({key:0},{visible:e.value,setVisible:n}))):g("",!0)]),_:3})]))}});export{w as _}; diff --git a/assets/FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js b/assets/FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js similarity index 81% rename from assets/FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js rename to assets/FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js index 10a169c65188b5004bb7b768ffe9e15987ca03b8..7ee83e4108ec391701e781f8b216120de2f400ae 100644 --- a/assets/FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js +++ b/assets/FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js @@ -1 +1 @@ -import{_ as m}from"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";import{d as p,h as x,c as o,o as n,a as l,b as V,bH as f,C as h,D as d,z as v}from"./index-rD0Uu1v9.js";const y={"max-w-full":""},C={flex:"~ col gap-4"},_={class:"flex items-center gap-1 text-sm font-medium"},b={key:0,class:"text-red-500"},g={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},N=p({__name:"FieldInput",props:{modelValue:null,label:null,description:null,placeholder:null,required:{type:Boolean},type:null,inputClass:null},emits:["update:modelValue"],setup(e,{emit:u}){const c=e,i=u,t=x({get:()=>c.modelValue,set:a=>i("update:modelValue",a)});return(a,s)=>(n(),o("div",y,[l("label",C,[l("div",null,[l("div",_,[f(d(e.label)+" ",1),e.required!==!1?(n(),o("span",b,"*")):h("",!0)]),l("div",g,d(e.description),1)]),V(m,{modelValue:t.value,"onUpdate:modelValue":s[0]||(s[0]=r=>t.value=r),type:e.type,placeholder:e.placeholder,class:v(e.inputClass)},null,8,["modelValue","type","placeholder","class"])])]))}});export{N as _}; +import{_ as m}from"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";import{d as p,h as x,c as o,o as n,a as l,b as V,bH as f,C as h,D as d,z as v}from"./index-Dlp4W1Zl.js";const y={"max-w-full":""},C={flex:"~ col gap-4"},_={class:"flex items-center gap-1 text-sm font-medium"},b={key:0,class:"text-red-500"},g={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},N=p({__name:"FieldInput",props:{modelValue:null,label:null,description:null,placeholder:null,required:{type:Boolean},type:null,inputClass:null},emits:["update:modelValue"],setup(e,{emit:u}){const c=e,i=u,t=x({get:()=>c.modelValue,set:a=>i("update:modelValue",a)});return(a,s)=>(n(),o("div",y,[l("label",C,[l("div",null,[l("div",_,[f(d(e.label)+" ",1),e.required!==!1?(n(),o("span",b,"*")):h("",!0)]),l("div",g,d(e.description),1)]),V(m,{modelValue:t.value,"onUpdate:modelValue":s[0]||(s[0]=r=>t.value=r),type:e.type,placeholder:e.placeholder,class:v(e.inputClass)},null,8,["modelValue","type","placeholder","class"])])]))}});export{N as _}; diff --git a/assets/HeaderLink-0aZMXKsY.js b/assets/HeaderLink-Dg_3MlXg.js similarity index 90% rename from assets/HeaderLink-0aZMXKsY.js rename to assets/HeaderLink-Dg_3MlXg.js index d1c40db18bac8dc62e3592351d0a7adbd8205502..d9f62777f35135cd3d1ead743bb665d9feff8873 100644 --- a/assets/HeaderLink-0aZMXKsY.js +++ b/assets/HeaderLink-Dg_3MlXg.js @@ -1 +1 @@ -import{d as r,bC as c,x as l,e,bo as d,o as s,y as _,c as t,a,bn as i}from"./index-rD0Uu1v9.js";const k="/assets/logo-dark-CO0kwKsz.svg",p="/assets/logo-D6zeZTFl.svg",u=["src"],m=["src"],x=r({__name:"HeaderLink",setup(g){const n=c();return(f,o)=>(s(),l(e(d),{to:"/",flex:"~","items-center":"","gap-2":"","px-2":"","text-nowrap":"","text-2xl":"","outline-none":""},{default:_(()=>[e(n)?(s(),t("img",{key:0,src:e(k),"h-8":"","w-8":"",class:"theme-colored"},null,8,u)):(s(),t("img",{key:1,src:e(p),"h-8":"","w-8":"",class:"theme-colored"},null,8,m)),o[0]||(o[0]=a("div",{"font-cute":""},[a("span",null,"アイリ")],-1))]),_:1}))}}),w=i(x,[["__scopeId","data-v-496b6cde"]]);export{w as H}; +import{d as r,bC as c,x as l,e,bo as d,o as s,y as _,c as t,a,bn as i}from"./index-Dlp4W1Zl.js";const k="/assets/logo-dark-CO0kwKsz.svg",p="/assets/logo-D6zeZTFl.svg",u=["src"],m=["src"],x=r({__name:"HeaderLink",setup(g){const n=c();return(f,o)=>(s(),l(e(d),{to:"/",flex:"~","items-center":"","gap-2":"","px-2":"","text-nowrap":"","text-2xl":"","outline-none":""},{default:_(()=>[e(n)?(s(),t("img",{key:0,src:e(k),"h-8":"","w-8":"",class:"theme-colored"},null,8,u)):(s(),t("img",{key:1,src:e(p),"h-8":"","w-8":"",class:"theme-colored"},null,8,m)),o[0]||(o[0]=a("div",{"font-cute":""},[a("span",null,"アイリ")],-1))]),_:1}))}}),w=i(x,[["__scopeId","data-v-496b6cde"]]);export{w as H}; diff --git a/assets/IconAnimation.vue_vue_type_script_setup_true_lang-KbGmnq0P.js b/assets/IconAnimation.vue_vue_type_script_setup_true_lang-D7WFDasI.js similarity index 95% rename from assets/IconAnimation.vue_vue_type_script_setup_true_lang-KbGmnq0P.js rename to assets/IconAnimation.vue_vue_type_script_setup_true_lang-D7WFDasI.js index 2470996b3177d4f8b53e2af9606f88c27258d75f..a28789c5037ba6fd5a38dd67647f74ca4ae56ac1 100644 --- a/assets/IconAnimation.vue_vue_type_script_setup_true_lang-KbGmnq0P.js +++ b/assets/IconAnimation.vue_vue_type_script_setup_true_lang-D7WFDasI.js @@ -1 +1 @@ -import{d as m,g as s,w as p,h,c as f,o as x,n as l,a as u,z as y}from"./index-rD0Uu1v9.js";const C=m({__name:"IconAnimation",props:{icon:null,iconSize:null,position:null,duration:null,started:{type:Boolean},textColor:null,isReverse:{type:Boolean},zIndex:null},emits:["animationEnded"],setup(a,{emit:d}){const e=a,c=d,n=s(!1);p(()=>e.started,o=>{o&&requestAnimationFrame(()=>{n.value=!0})});const t=h(()=>({opacity:n.value!==e.isReverse?1:0,size:n.value!==e.isReverse?25:e.iconSize,position:n.value!==e.isReverse?"calc(50dvw - 12.5rem), calc(50dvh - 12.5rem)":e.position,textColor:n.value!==e.isReverse?"text-white":e.textColor})),i=s([]),r=s(!1);function v(o){i.value.push(o.propertyName),i.value.includes("color")&&i.value.includes("width")&&i.value.includes("height")&&i.value.includes("transform")&&(r.value=!0,c("animationEnded"))}return(o,z)=>(x(),f("div",{"pointer-events-none":"",fixed:"",w:"100dvw",h:"100dvh",style:l({zIndex:r.value?a.zIndex:void 0})},[u("div",{"bg-primary-500":"",fixed:"","inset-0":"","transition-opacity":"","ease-linear":"",style:l({opacity:t.value.opacity,transitionDuration:`${a.duration}ms`})},null,4),u("div",{fixed:"","inset-0":"","ease-in-out":"",style:l({width:`${t.value.size}rem`,height:`${t.value.size}rem`,transform:`translate(${t.value.position})`,transitionDuration:`${a.duration}ms`}),class:y([t.value.textColor,e.icon,{"transition-all":n.value}]),onTransitionend:v},null,38)],4))}});export{C as _}; +import{d as m,g as s,w as p,h,c as f,o as x,n as l,a as u,z as y}from"./index-Dlp4W1Zl.js";const C=m({__name:"IconAnimation",props:{icon:null,iconSize:null,position:null,duration:null,started:{type:Boolean},textColor:null,isReverse:{type:Boolean},zIndex:null},emits:["animationEnded"],setup(a,{emit:d}){const e=a,c=d,n=s(!1);p(()=>e.started,o=>{o&&requestAnimationFrame(()=>{n.value=!0})});const t=h(()=>({opacity:n.value!==e.isReverse?1:0,size:n.value!==e.isReverse?25:e.iconSize,position:n.value!==e.isReverse?"calc(50dvw - 12.5rem), calc(50dvh - 12.5rem)":e.position,textColor:n.value!==e.isReverse?"text-white":e.textColor})),i=s([]),r=s(!1);function v(o){i.value.push(o.propertyName),i.value.includes("color")&&i.value.includes("width")&&i.value.includes("height")&&i.value.includes("transform")&&(r.value=!0,c("animationEnded"))}return(o,z)=>(x(),f("div",{"pointer-events-none":"",fixed:"",w:"100dvw",h:"100dvh",style:l({zIndex:r.value?a.zIndex:void 0})},[u("div",{"bg-primary-500":"",fixed:"","inset-0":"","transition-opacity":"","ease-linear":"",style:l({opacity:t.value.opacity,transitionDuration:`${a.duration}ms`})},null,4),u("div",{fixed:"","inset-0":"","ease-in-out":"",style:l({width:`${t.value.size}rem`,height:`${t.value.size}rem`,transform:`translate(${t.value.position})`,transitionDuration:`${a.duration}ms`}),class:y([t.value.textColor,e.icon,{"transition-all":n.value}]),onTransitionend:v},null,38)],4))}});export{C as _}; diff --git a/assets/IconStatusItem-BolEMtws.js b/assets/IconStatusItem-BxiCMDHT.js similarity index 97% rename from assets/IconStatusItem-BolEMtws.js rename to assets/IconStatusItem-BxiCMDHT.js index 2e9df8cfc4195f646083bbe41c2d05ca76748145..29fdf81a094c17dbb992220695946d9c34ea4cd6 100644 --- a/assets/IconStatusItem-BolEMtws.js +++ b/assets/IconStatusItem-BxiCMDHT.js @@ -1 +1 @@ -import{d as u,r as c,c as e,o as n,b as d,a as o,y as m,C as a,D as s,z as i,bn as _}from"./index-rD0Uu1v9.js";const p={flex:"~ col",bg:"neutral-200/50 dark:neutral-700",border:"neutral-100 dark:neutral-700 hover:primary-500/30 dark:hover:primary-400/30 solid 2","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",class:"menu-icon-status-item",transition:"all ease-in-out duration-400","w-full":"","cursor-pointer":"","of-hidden":"","rounded-xl":""},g={"z-1":"","flex-1":""},h={"text-lg":"","font-bold":"",class:"menu-icon-status-item-title",transition:"all ease-in-out duration-400"},k={text:"sm neutral-500 dark:neutral-400",class:"menu-icon-status-item-description",transition:"all ease-in-out duration-400"},f=["src"],x={"p-2":""},v={key:0,"size-3":"",bg:"green-500 dark:green-600","rounded-full":""},y={key:1,"size-3":"",bg:"neutral-400 dark:neutral-500","rounded-full":""},b=u({__name:"IconStatusItem",props:{title:null,description:null,icon:null,iconColor:null,iconImage:null,to:null,configured:{type:Boolean}},setup(r){const t=r;return(C,I)=>{const l=c("RouterLink");return n(),e("div",p,[d(l,{flex:"~ row",class:"menu-icon-status-item-link",bg:"neutral-50 dark:neutral-800",transition:"all ease-in-out duration-400",relative:"","h-full":"","w-full":"","items-center":"","overflow-hidden":"","rounded-lg":"","p-5":"","text-left":"",to:t.to},{default:m(()=>[o("div",g,[o("div",h,s(t.title),1),o("div",k,[o("span",null,s(t.description),1)])]),t.icon?(n(),e("div",{key:0,class:i(["menu-icon-status-item-icon",[t.icon]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconColor?(n(),e("div",{key:1,class:i(["menu-icon-status-item-icon-color",[t.iconColor]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconImage?(n(),e("img",{key:2,src:t.iconImage,class:"menu-icon-status-item-icon-image",transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"","grayscale-100":""},null,8,f)):a("",!0)]),_:1},8,["to"]),o("div",x,[t.configured?(n(),e("div",v)):(n(),e("div",y))])])}}}),w=_(b,[["__scopeId","data-v-883ae105"]]);export{w as I}; +import{d as u,r as c,c as e,o as n,b as d,a as o,y as m,C as a,D as s,z as i,bn as _}from"./index-Dlp4W1Zl.js";const p={flex:"~ col",bg:"neutral-200/50 dark:neutral-700",border:"neutral-100 dark:neutral-700 hover:primary-500/30 dark:hover:primary-400/30 solid 2","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",class:"menu-icon-status-item",transition:"all ease-in-out duration-400","w-full":"","cursor-pointer":"","of-hidden":"","rounded-xl":""},g={"z-1":"","flex-1":""},h={"text-lg":"","font-bold":"",class:"menu-icon-status-item-title",transition:"all ease-in-out duration-400"},k={text:"sm neutral-500 dark:neutral-400",class:"menu-icon-status-item-description",transition:"all ease-in-out duration-400"},f=["src"],x={"p-2":""},v={key:0,"size-3":"",bg:"green-500 dark:green-600","rounded-full":""},y={key:1,"size-3":"",bg:"neutral-400 dark:neutral-500","rounded-full":""},b=u({__name:"IconStatusItem",props:{title:null,description:null,icon:null,iconColor:null,iconImage:null,to:null,configured:{type:Boolean}},setup(r){const t=r;return(C,I)=>{const l=c("RouterLink");return n(),e("div",p,[d(l,{flex:"~ row",class:"menu-icon-status-item-link",bg:"neutral-50 dark:neutral-800",transition:"all ease-in-out duration-400",relative:"","h-full":"","w-full":"","items-center":"","overflow-hidden":"","rounded-lg":"","p-5":"","text-left":"",to:t.to},{default:m(()=>[o("div",g,[o("div",h,s(t.title),1),o("div",k,[o("span",null,s(t.description),1)])]),t.icon?(n(),e("div",{key:0,class:i(["menu-icon-status-item-icon",[t.icon]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconColor?(n(),e("div",{key:1,class:i(["menu-icon-status-item-icon-color",[t.iconColor]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconImage?(n(),e("img",{key:2,src:t.iconImage,class:"menu-icon-status-item-icon-image",transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"","grayscale-100":""},null,8,f)):a("",!0)]),_:1},8,["to"]),o("div",x,[t.configured?(n(),e("div",v)):(n(),e("div",y))])])}}}),w=_(b,[["__scopeId","data-v-883ae105"]]);export{w as I}; diff --git a/assets/Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js b/assets/Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js similarity index 91% rename from assets/Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js rename to assets/Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js index fb85be10d45c35657d31e521e2e9517d0cf5740f..10fdf31d74e4c22028a531b1b725ed254640dbee 100644 --- a/assets/Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js +++ b/assets/Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js @@ -1 +1 @@ -import{d as r,bF as n,bG as u,A as s,ch as d,o as i,c as p}from"./index-rD0Uu1v9.js";const m=["type"],y=r({__name:"Input",props:n({type:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,t=u(e,"modelValue");return(c,a)=>s((i(),p("input",{"onUpdate:modelValue":a[0]||(a[0]=o=>t.value=o),type:l.type||"text",border:"focus:primary-100 dark:focus:primary-400/50 2 solid neutral-200 dark:neutral-800",transition:"all duration-200 ease-in-out",text:"disabled:neutral-400 dark:disabled:neutral-600",cursor:"disabled:not-allowed","w-full":"","rounded-lg":"","px-2":"","py-1":"","text-nowrap":"","text-sm":"","outline-none":"",shadow:"sm",bg:"neutral-100 dark:neutral-800 focus:neutral-50 dark:focus:neutral-900"},null,8,m)),[[d,t.value]])}});export{y as _}; +import{d as r,bF as n,bG as u,A as s,ch as d,o as i,c as p}from"./index-Dlp4W1Zl.js";const m=["type"],y=r({__name:"Input",props:n({type:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,t=u(e,"modelValue");return(c,a)=>s((i(),p("input",{"onUpdate:modelValue":a[0]||(a[0]=o=>t.value=o),type:l.type||"text",border:"focus:primary-100 dark:focus:primary-400/50 2 solid neutral-200 dark:neutral-800",transition:"all duration-200 ease-in-out",text:"disabled:neutral-400 dark:disabled:neutral-600",cursor:"disabled:not-allowed","w-full":"","rounded-lg":"","px-2":"","py-1":"","text-nowrap":"","text-sm":"","outline-none":"",shadow:"sm",bg:"neutral-100 dark:neutral-800 focus:neutral-50 dark:focus:neutral-900"},null,8,m)),[[d,t.value]])}});export{y as _}; diff --git a/assets/Model.vue_vue_type_script_setup_true_lang-DfGKadm0.js b/assets/Model.vue_vue_type_script_setup_true_lang-CSqfK4Nz.js similarity index 97% rename from assets/Model.vue_vue_type_script_setup_true_lang-DfGKadm0.js rename to assets/Model.vue_vue_type_script_setup_true_lang-CSqfK4Nz.js index 5d20a2d488a8d304c590b7d4d63d533db84fdcbf..63a41afc0543e0a31c5e4161536be3d73196486a 100644 --- a/assets/Model.vue_vue_type_script_setup_true_lang-DfGKadm0.js +++ b/assets/Model.vue_vue_type_script_setup_true_lang-CSqfK4Nz.js @@ -1 +1 @@ -import{n as F,T as Y,A as re,L as P,o as N,r as ue,D as se,I as de,m as O,M as ce,p as R}from"./live2d-zip-loader-BdiFCiUD.js";import{bM as ve,d as $,g as h,w as p,m as j,H as q,c as G,o as X,p as U,br as T,h as z,bC as pe,j as he,G as fe,s as me,v as ge,bN as Me,bO as we,bx as ye,a as be,q as Se}from"./index-rD0Uu1v9.js";const xe=o=>Math.max(0,Math.min(1,o||0)),C=o=>Math.round(xe(o)*255),Be=ve("rgb"),Ce=o=>{if(o===void 0)return;let l=C(o.r),t=C(o.g),d=C(o.b);return"#"+(1<<24|l<<16|t<<8|d).toString(16).slice(1)},Fe=o=>Ce(Be(o)),ke=$({__name:"Canvas",props:{width:null,height:null},setup(o,{expose:l}){const t=o,d=h(),e=h(),i=h();async function c(n){P.registerTicker(N),F.add(Y),e.value=new re({width:t.width,height:t.height,backgroundAlpha:0,preserveDrawingBuffer:!0}),i.value=e.value.view,i.value.style.objectFit="contain",n.appendChild(e.value.view)}function y(){var n;e.value&&e.value.renderer.resize(t.width,t.height),(n=e.value)!=null&&n.view&&(e.value.view.width=t.width,e.value.view.height=t.height)}p([()=>t.width,()=>t.height],()=>y()),j(async()=>d.value&&await c(d.value)),q(()=>{var n;return(n=e.value)==null?void 0:n.destroy()});async function B(){return new Promise(g=>{if(!i.value||!e.value)return g(null);e.value.render(),i.value.toBlob(g)})}return l({captureFrame:B}),(n,g)=>(X(),G("div",{ref_key:"containerRef",ref:d,"h-full":"","w-full":""},[U(n.$slots,"default",{app:e.value})],512))}});function V(o,l,t){return(1-t)*o+t*l}function H(o,l){return o+Math.random()*(l-o)}function Pe(){let o=-1,l,t=-1;function d(e,i){(i>=o||il.app),d=T(()=>l.paused),e=h(),i=h(0),c=h(0),y=z(()=>Math.max(0,Math.min(100,l.mouthOpenSize))),B=pe(),n=he(Se),g=z(()=>n.between("sm","md").value||n.smaller("sm").value),W=Pe(),I=fe(new se({alpha:.2,blur:0,distance:20,rotation:45}));function J(){return e.value.internalModel.coreModel}function D(a){if(!a.value)return;let r=2.2;g.value&&(r=2.2);const f=l.height*.95/c.value*r,s=l.width*.95/i.value*r,m=Math.min(f,s);a.value.scale.set(m,m)}const{live2dModelFile:b,loadingLive2dModel:M,live2dCurrentMotion:K,availableLive2dMotions:Q,live2dLoadSource:S,live2dModelUrl:k,themeColorsHue:Z,themeColorsHueDynamic:_}=me(ge()),ee=h({group:"Idle",index:0});async function ae(){var L;if(!t.value)return;e.value&&(t.value.stage.removeChild(e.value),e.value.destroy(),e.value=void 0);const a=new P;S.value==="file"?await R.setupLive2DModel(a,[b.value]):S.value==="url"&&await R.setupLive2DModel(a,k.value),e.value=a,t.value.stage.addChild(e.value),i.value=e.value.width,c.value=e.value.height,e.value.x=l.width/2,e.value.y=l.height,e.value.rotation=Math.PI,e.value.skew.x=Math.PI,e.value.anchor.set(.5,.5),D(e),e.value.on("hit",v=>{e.value&&v.includes("body")&&e.value.motion("tap_body")});const r=e.value.internalModel,f=r.coreModel,s=r.motionManager;f.setParameterValueById("ParamMouthOpenY",y.value),Q.value=Object.entries(s.definitions).flatMap(([v,u])=>u?u.map((ie,ne)=>({motionName:v,motionIndex:ne,fileName:ie.File})):[]).filter(Boolean),s.groups.idle&&((L=s.motionGroups[s.groups.idle])==null||L.forEach(v=>{v._motionData.curves.forEach(u=>{(u.id==="ParamEyeBallX"||u.id==="ParamEyeBallY")&&(u.id=`_${u.id}`)})}));const m=s.update;s.update=function(v,u){return m==null||m.call(this,v,u),s.state.currentGroup===s.groups.idle&&W.update(r,u),!0},s.on("motionStart",(v,u)=>{ee.value={group:v,index:u}}),b.value&&await O.setItem("live2dModel",b.value),M.value=!1}async function te(){if(!t.value)return;P.registerTicker(N),F.add(Y),F.add(de);const a=await O.getItem("live2dModel");if(a){b.value=a,S.value="file",M.value=!0;return}if(k.value){S.value="url",M.value=!0;return}M.value=!1}async function le(a,r){await e.value.motion(a,r,ce.FORCE)}const oe=Me(()=>{e.value&&(e.value.x=l.width/2,e.value.y=l.height,D(e))},100),A=h(),w=h(0);function x(){if(e.value){const a=getComputedStyle(A.value).backgroundColor;I.value.color=Number(Fe(a).replace("#","0x")),e.value.filters=[I.value]}}p([()=>l.width,()=>l.height],()=>oe()),p(B,x,{immediate:!0}),p([e,Z],x);function E(){x(),w.value=requestAnimationFrame(E)}return p(_,()=>{_.value?w.value=requestAnimationFrame(E):(cancelAnimationFrame(w.value),w.value=0)},{immediate:!0}),p(y,a=>J().setParameterValueById("ParamMouthOpenY",a)),p(t,te),p(K,a=>le(a.group,a.index)),p(d,a=>{var r,f;a?(r=t.value)==null||r.stop():(f=t.value)==null||f.start()}),we(M,a=>{a&&ae()},{debounce:1e3}),j(x),q(()=>{var a;cancelAnimationFrame(w.value),e.value&&((a=t.value)==null||a.stage.removeChild(e.value))}),(a,r)=>(X(),G(ye,null,[be("div",{ref_key:"dropShadowColorComputer",ref:A,hidden:"",bg:"primary-400 dark:primary-500"},null,512),U(a.$slots,"default")],64))}});export{_e as _,ke as a,H as r}; +import{n as F,T as Y,A as re,L as P,o as N,r as ue,D as se,I as de,m as O,M as ce,p as R}from"./live2d-zip-loader-C5j9stxV.js";import{bM as ve,d as $,g as h,w as p,m as j,H as q,c as G,o as X,p as U,br as T,h as z,bC as pe,j as he,G as fe,s as me,v as ge,bN as Me,bO as we,bx as ye,a as be,q as Se}from"./index-Dlp4W1Zl.js";const xe=o=>Math.max(0,Math.min(1,o||0)),C=o=>Math.round(xe(o)*255),Be=ve("rgb"),Ce=o=>{if(o===void 0)return;let l=C(o.r),t=C(o.g),d=C(o.b);return"#"+(1<<24|l<<16|t<<8|d).toString(16).slice(1)},Fe=o=>Ce(Be(o)),ke=$({__name:"Canvas",props:{width:null,height:null},setup(o,{expose:l}){const t=o,d=h(),e=h(),i=h();async function c(n){P.registerTicker(N),F.add(Y),e.value=new re({width:t.width,height:t.height,backgroundAlpha:0,preserveDrawingBuffer:!0}),i.value=e.value.view,i.value.style.objectFit="contain",n.appendChild(e.value.view)}function y(){var n;e.value&&e.value.renderer.resize(t.width,t.height),(n=e.value)!=null&&n.view&&(e.value.view.width=t.width,e.value.view.height=t.height)}p([()=>t.width,()=>t.height],()=>y()),j(async()=>d.value&&await c(d.value)),q(()=>{var n;return(n=e.value)==null?void 0:n.destroy()});async function B(){return new Promise(g=>{if(!i.value||!e.value)return g(null);e.value.render(),i.value.toBlob(g)})}return l({captureFrame:B}),(n,g)=>(X(),G("div",{ref_key:"containerRef",ref:d,"h-full":"","w-full":""},[U(n.$slots,"default",{app:e.value})],512))}});function V(o,l,t){return(1-t)*o+t*l}function H(o,l){return o+Math.random()*(l-o)}function Pe(){let o=-1,l,t=-1;function d(e,i){(i>=o||il.app),d=T(()=>l.paused),e=h(),i=h(0),c=h(0),y=z(()=>Math.max(0,Math.min(100,l.mouthOpenSize))),B=pe(),n=he(Se),g=z(()=>n.between("sm","md").value||n.smaller("sm").value),W=Pe(),I=fe(new se({alpha:.2,blur:0,distance:20,rotation:45}));function J(){return e.value.internalModel.coreModel}function D(a){if(!a.value)return;let r=2.2;g.value&&(r=2.2);const f=l.height*.95/c.value*r,s=l.width*.95/i.value*r,m=Math.min(f,s);a.value.scale.set(m,m)}const{live2dModelFile:b,loadingLive2dModel:M,live2dCurrentMotion:K,availableLive2dMotions:Q,live2dLoadSource:S,live2dModelUrl:k,themeColorsHue:Z,themeColorsHueDynamic:_}=me(ge()),ee=h({group:"Idle",index:0});async function ae(){var L;if(!t.value)return;e.value&&(t.value.stage.removeChild(e.value),e.value.destroy(),e.value=void 0);const a=new P;S.value==="file"?await R.setupLive2DModel(a,[b.value]):S.value==="url"&&await R.setupLive2DModel(a,k.value),e.value=a,t.value.stage.addChild(e.value),i.value=e.value.width,c.value=e.value.height,e.value.x=l.width/2,e.value.y=l.height,e.value.rotation=Math.PI,e.value.skew.x=Math.PI,e.value.anchor.set(.5,.5),D(e),e.value.on("hit",v=>{e.value&&v.includes("body")&&e.value.motion("tap_body")});const r=e.value.internalModel,f=r.coreModel,s=r.motionManager;f.setParameterValueById("ParamMouthOpenY",y.value),Q.value=Object.entries(s.definitions).flatMap(([v,u])=>u?u.map((ie,ne)=>({motionName:v,motionIndex:ne,fileName:ie.File})):[]).filter(Boolean),s.groups.idle&&((L=s.motionGroups[s.groups.idle])==null||L.forEach(v=>{v._motionData.curves.forEach(u=>{(u.id==="ParamEyeBallX"||u.id==="ParamEyeBallY")&&(u.id=`_${u.id}`)})}));const m=s.update;s.update=function(v,u){return m==null||m.call(this,v,u),s.state.currentGroup===s.groups.idle&&W.update(r,u),!0},s.on("motionStart",(v,u)=>{ee.value={group:v,index:u}}),b.value&&await O.setItem("live2dModel",b.value),M.value=!1}async function te(){if(!t.value)return;P.registerTicker(N),F.add(Y),F.add(de);const a=await O.getItem("live2dModel");if(a){b.value=a,S.value="file",M.value=!0;return}if(k.value){S.value="url",M.value=!0;return}M.value=!1}async function le(a,r){await e.value.motion(a,r,ce.FORCE)}const oe=Me(()=>{e.value&&(e.value.x=l.width/2,e.value.y=l.height,D(e))},100),A=h(),w=h(0);function x(){if(e.value){const a=getComputedStyle(A.value).backgroundColor;I.value.color=Number(Fe(a).replace("#","0x")),e.value.filters=[I.value]}}p([()=>l.width,()=>l.height],()=>oe()),p(B,x,{immediate:!0}),p([e,Z],x);function E(){x(),w.value=requestAnimationFrame(E)}return p(_,()=>{_.value?w.value=requestAnimationFrame(E):(cancelAnimationFrame(w.value),w.value=0)},{immediate:!0}),p(y,a=>J().setParameterValueById("ParamMouthOpenY",a)),p(t,te),p(K,a=>le(a.group,a.index)),p(d,a=>{var r,f;a?(r=t.value)==null||r.stop():(f=t.value)==null||f.start()}),we(M,a=>{a&&ae()},{debounce:1e3}),j(x),q(()=>{var a;cancelAnimationFrame(w.value),e.value&&((a=t.value)==null||a.stage.removeChild(e.value))}),(a,r)=>(X(),G(ye,null,[be("div",{ref_key:"dropShadowColorComputer",ref:A,hidden:"",bg:"primary-400 dark:primary-500"},null,512),U(a.$slots,"default")],64))}});export{_e as _,ke as a,H as r}; diff --git a/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js b/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js similarity index 84% rename from assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js rename to assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js index d3c569530cb8fa3b7ba24337eee1abb01c83597e..acb0334be9ce223c82c2b38e88f7b771576e6175 100644 --- a/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js +++ b/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js @@ -1 +1 @@ -import{_ as s}from"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import{d as n,bF as t,i as u,bG as p,h as m,x as c,o as f,e as b}from"./index-rD0Uu1v9.js";const y=n({__name:"ProviderApiKeyInput",props:t({providerName:null,placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,{t:a}=u(),o=p(e,"modelValue"),d=m(()=>l.description||`API Key for ${l.providerName}`);return(v,r)=>(f(),c(s,{modelValue:o.value,"onUpdate:modelValue":r[0]||(r[0]=i=>o.value=i),label:e.label||b(a)("settings.pages.providers.common.fields.field.api-key.label"),description:d.value,placeholder:e.placeholder,required:e.required,type:"password"},null,8,["modelValue","label","description","placeholder","required"]))}});export{y as _}; +import{_ as s}from"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import{d as n,bF as t,i as u,bG as p,h as m,x as c,o as f,e as b}from"./index-Dlp4W1Zl.js";const y=n({__name:"ProviderApiKeyInput",props:t({providerName:null,placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,{t:a}=u(),o=p(e,"modelValue"),d=m(()=>l.description||`API Key for ${l.providerName}`);return(v,r)=>(f(),c(s,{modelValue:o.value,"onUpdate:modelValue":r[0]||(r[0]=i=>o.value=i),label:e.label||b(a)("settings.pages.providers.common.fields.field.api-key.label"),description:d.value,placeholder:e.placeholder,required:e.required,type:"password"},null,8,["modelValue","label","description","placeholder","required"]))}});export{y as _}; diff --git a/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js b/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js similarity index 88% rename from assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js rename to assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js index 07d3ca4d01bb096d0e57e5a71f1fea68df2bb6fd..37f5d3ec545e39770a07b9944125275f9a85cd11 100644 --- a/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js +++ b/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js @@ -1 +1 @@ -import{_ as p}from"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import{d,g as m,x as u,o as c,y as n,a as e,p as f,D as _,z as v,bF as b,bG as g}from"./index-rD0Uu1v9.js";import{_ as V}from"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";const x=["onClick"],h={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},y={"mt-4":""},q=d({__name:"ProviderAdvancedSettings",props:{title:null,initialVisible:{type:Boolean}},setup(l){const a=m(l.initialVisible||!1);function r(){a.value=!a.value}return(o,i)=>(c(),u(p,{"w-full":""},{trigger:n(s=>[e("button",{transition:"all ease-in-out duration-250","w-full":"",flex:"","items-center":"","gap-1.5":"","outline-none":"",class:"[&_.provider-icon]:grayscale-100 [&_.provider-icon]:hover:grayscale-0",onClick:()=>s.setVisible(!s.visible)&&r()},[e("h2",h,[e("span",null,_(l.title||"Advanced"),1)]),e("div",{transform:"",transition:"transform duration-250",class:v({"rotate-180":s.visible})},i[0]||(i[0]=[e("div",{"i-solar:alt-arrow-down-bold-duotone":""},null,-1)]),2)],8,x)]),default:n(()=>[e("div",y,[f(o.$slots,"default")])]),_:3}))}}),w=d({__name:"ProviderBaseUrlInput",props:b({placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(l){const t=l,a=g(l,"modelValue");return(r,o)=>(c(),u(V,{modelValue:a.value,"onUpdate:modelValue":o[0]||(o[0]=i=>a.value=i),label:t.label||"Base URL",description:t.description||"Custom base URL (optional)",placeholder:t.placeholder,required:t.required,type:"text"},null,8,["modelValue","label","description","placeholder","required"]))}});export{q as _,w as a}; +import{_ as p}from"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import{d,g as m,x as u,o as c,y as n,a as e,p as f,D as _,z as v,bF as b,bG as g}from"./index-Dlp4W1Zl.js";import{_ as V}from"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";const x=["onClick"],h={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},y={"mt-4":""},q=d({__name:"ProviderAdvancedSettings",props:{title:null,initialVisible:{type:Boolean}},setup(l){const a=m(l.initialVisible||!1);function r(){a.value=!a.value}return(o,i)=>(c(),u(p,{"w-full":""},{trigger:n(s=>[e("button",{transition:"all ease-in-out duration-250","w-full":"",flex:"","items-center":"","gap-1.5":"","outline-none":"",class:"[&_.provider-icon]:grayscale-100 [&_.provider-icon]:hover:grayscale-0",onClick:()=>s.setVisible(!s.visible)&&r()},[e("h2",h,[e("span",null,_(l.title||"Advanced"),1)]),e("div",{transform:"",transition:"transform duration-250",class:v({"rotate-180":s.visible})},i[0]||(i[0]=[e("div",{"i-solar:alt-arrow-down-bold-duotone":""},null,-1)]),2)],8,x)]),default:n(()=>[e("div",y,[f(o.$slots,"default")])]),_:3}))}}),w=d({__name:"ProviderBaseUrlInput",props:b({placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(l){const t=l,a=g(l,"modelValue");return(r,o)=>(c(),u(V,{modelValue:a.value,"onUpdate:modelValue":o[0]||(o[0]=i=>a.value=i),label:t.label||"Base URL",description:t.description||"Custom base URL (optional)",placeholder:t.placeholder,required:t.required,type:"text"},null,8,["modelValue","label","description","placeholder","required"]))}});export{q as _,w as a}; diff --git a/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js b/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js similarity index 94% rename from assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js rename to assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js index f80e51f0edc6236e2e75360ffda4e736bbb31752..8e56a8dc47018bde22f246f55f68f2cc2038c347 100644 --- a/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js +++ b/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js @@ -1 +1 @@ -import{d as o,c as s,o as a,a as e,p as i,C as u,D as l}from"./index-rD0Uu1v9.js";const c={flex:"~ col gap-6"},x={flex:"~ row","items-center":"","justify-between":""},f={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},p={text:"neutral-400 dark:neutral-500"},g=o({__name:"ProviderBasicSettings",props:{title:null,description:null,onReset:{type:Function}},setup(t){return(r,n)=>(a(),s("div",c,[e("div",x,[e("div",null,[e("h2",f,l(t.title||"Basic"),1),e("div",p,[e("span",null,l(t.description||"Essential settings"),1)])]),t.onReset?(a(),s("button",{key:0,title:"Reset settings",flex:"","items-center":"","justify-center":"","rounded-full":"","p-2":"",transition:"all duration-250 ease-in-out",text:"neutral-500 dark:neutral-400",bg:"transparent dark:transparent hover:neutral-200 dark:hover:neutral-800 active:neutral-300 dark:active:neutral-700",onClick:n[0]||(n[0]=(...d)=>t.onReset&&t.onReset(...d))},n[1]||(n[1]=[e("div",{"i-solar:refresh-bold-duotone":"","text-xl":""},null,-1)]))):u("",!0)]),i(r.$slots,"default")]))}}),m={bg:"neutral-50 dark:[rgba(0,0,0,0.3)]","rounded-xl":"","p-4":"",flex:"~ col gap-6"},k=o({__name:"ProviderSettingsContainer",setup(t){return(r,n)=>(a(),s("div",m,[i(r.$slots,"default")]))}});export{k as _,g as a}; +import{d as o,c as s,o as a,a as e,p as i,C as u,D as l}from"./index-Dlp4W1Zl.js";const c={flex:"~ col gap-6"},x={flex:"~ row","items-center":"","justify-between":""},f={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},p={text:"neutral-400 dark:neutral-500"},g=o({__name:"ProviderBasicSettings",props:{title:null,description:null,onReset:{type:Function}},setup(t){return(r,n)=>(a(),s("div",c,[e("div",x,[e("div",null,[e("h2",f,l(t.title||"Basic"),1),e("div",p,[e("span",null,l(t.description||"Essential settings"),1)])]),t.onReset?(a(),s("button",{key:0,title:"Reset settings",flex:"","items-center":"","justify-center":"","rounded-full":"","p-2":"",transition:"all duration-250 ease-in-out",text:"neutral-500 dark:neutral-400",bg:"transparent dark:transparent hover:neutral-200 dark:hover:neutral-800 active:neutral-300 dark:active:neutral-700",onClick:n[0]||(n[0]=(...d)=>t.onReset&&t.onReset(...d))},n[1]||(n[1]=[e("div",{"i-solar:refresh-bold-duotone":"","text-xl":""},null,-1)]))):u("",!0)]),i(r.$slots,"default")]))}}),m={bg:"neutral-50 dark:[rgba(0,0,0,0.3)]","rounded-xl":"","p-4":"",flex:"~ col gap-6"},k=o({__name:"ProviderSettingsContainer",setup(t){return(r,n)=>(a(),s("div",m,[i(r.$slots,"default")]))}});export{k as _,g as a}; diff --git a/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js b/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js similarity index 94% rename from assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js rename to assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js index 8f9dae7848fab1281d60ad018ef9cc5f22f4ff51..1de1c74cef3c0a9d15eb70a705a17c8154be5657 100644 --- a/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js +++ b/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js @@ -1 +1 @@ -import{d as s,bw as d,c as n,o as r,A as v,p as u,a as t,D as c,z as p,bx as x}from"./index-rD0Uu1v9.js";const m={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},f={relative:""},k={"text-nowrap":"","text-3xl":"","font-semibold":""},y={text:"neutral-200/50 dark:neutral-600/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},w=s({__name:"ProviderSettingsLayout",props:{providerName:null,providerIcon:null,providerIconColor:null,onBack:{type:Function}},setup(o){return(a,e)=>{const i=d("motion");return r(),n(x,null,[v((r(),n("div",m,[t("button",{onClick:e[0]||(e[0]=(...l)=>o.onBack&&o.onBack(...l))},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",f,[e[2]||(e[2]=t("div",{absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},[t("span",{text:"neutral-300 dark:neutral-500","text-nowrap":""},"Provider")],-1)),t("div",k,c(o.providerName),1)])])),[[i]]),u(a.$slots,"default"),t("div",y,[t("div",{text:"40",class:p(o.providerIcon||o.providerIconColor)},null,2)])],64)}}});export{w as _}; +import{d as s,bw as d,c as n,o as r,A as v,p as u,a as t,D as c,z as p,bx as x}from"./index-Dlp4W1Zl.js";const m={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},f={relative:""},k={"text-nowrap":"","text-3xl":"","font-semibold":""},y={text:"neutral-200/50 dark:neutral-600/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},w=s({__name:"ProviderSettingsLayout",props:{providerName:null,providerIcon:null,providerIconColor:null,onBack:{type:Function}},setup(o){return(a,e)=>{const i=d("motion");return r(),n(x,null,[v((r(),n("div",m,[t("button",{onClick:e[0]||(e[0]=(...l)=>o.onBack&&o.onBack(...l))},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",f,[e[2]||(e[2]=t("div",{absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},[t("span",{text:"neutral-300 dark:neutral-500","text-nowrap":""},"Provider")],-1)),t("div",k,c(o.providerName),1)])])),[[i]]),u(a.$slots,"default"),t("div",y,[t("div",{text:"40",class:p(o.providerIcon||o.providerIconColor)},null,2)])],64)}}});export{w as _}; diff --git a/assets/RadioCardDetailManySelect-cGsz75Pf.js b/assets/RadioCardDetailManySelect-rPQeY4V8.js similarity index 98% rename from assets/RadioCardDetailManySelect-cGsz75Pf.js rename to assets/RadioCardDetailManySelect-rPQeY4V8.js index d7fb04e9654873cf8812277fb372106540c7524f..0386f6b92d0ff02dd99d6834591e27ad2b340c08 100644 --- a/assets/RadioCardDetailManySelect-cGsz75Pf.js +++ b/assets/RadioCardDetailManySelect-rPQeY4V8.js @@ -1 +1 @@ -import{d as g,bF as f,bG as w,g as b,c as n,o as d,z as o,A as V,a as t,bA as B,C as v,D as c,b as $,y as S,c0 as k,bn as C,h as T,bJ as M,bx as z,by as D,x as N}from"./index-rD0Uu1v9.js";import{_ as E}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import{_ as P}from"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const U=["checked","name","value"],q={class:"relative mr-3 mt-0.5 flex-shrink-0"},L={class:"w-full flex flex-col gap-2"},j={class:"flex items-center"},A={key:0,class:"relative"},F=["title"],G={key:1,class:"mt-2"},J=g({__name:"RadioCardDetail",props:f({id:null,name:null,value:null,title:null,description:null,deprecated:{type:Boolean,default:!1},showExpandCollapse:{type:Boolean,default:!0},expandCollapseThreshold:{default:100},customInputValue:{default:""},customInputPlaceholder:{default:""},showCustomInput:{type:Boolean,default:!1}},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const a=w(e,"modelValue"),m=b(!1);function i(){m.value=!m.value}return(x,r)=>(d(),n("label",{key:e.id,class:o(["form_radio-card-detail relative flex cursor-pointer items-start rounded-xl p-3 pr-[20px]",[a.value===e.value?"bg-primary-50 dark:bg-primary-900/20 border-primary-100 dark:border-primary-900 hover:border-primary-500/30 dark:hover:border-primary-400/30":"bg-white dark:bg-neutral-900/20 border-neutral-100 dark:border-neutral-900 hover:border-primary-500/30 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md:py-3"},_={class:"px-3 py-2 md:px-5 md:py-5",flex:"~ col gap-4","mx-auto":"","max-w-screen-xl":""},$=n({__name:"default",setup(u){const{top:o,right:p,bottom:s,left:d}=r();return(g,y)=>(l(),c("div",{"p-2":"",style:i({paddingTop:`${e(o)}px`,paddingRight:`${e(p)}px`,paddingBottom:`${e(s)}px`,paddingLeft:`${e(d)}px`})},[a("div",f,[t(x)]),a("div",_,[t(e(m))])],4))}});export{$ as default}; +import{d as n,u as r,c,a,b as t,e,n as i,R as m,o as l}from"./index-Dlp4W1Zl.js";import{H as x}from"./HeaderLink-Dg_3MlXg.js";const f={"mb-4":"","w-full":"","gap-2":"",class:"px-0 py-1 md:px-3 md:py-3"},_={class:"px-3 py-2 md:px-5 md:py-5",flex:"~ col gap-4","mx-auto":"","max-w-screen-xl":""},$=n({__name:"default",setup(u){const{top:o,right:p,bottom:s,left:d}=r();return(g,y)=>(l(),c("div",{"p-2":"",style:i({paddingTop:`${e(o)}px`,paddingRight:`${e(p)}px`,paddingBottom:`${e(s)}px`,paddingLeft:`${e(d)}px`})},[a("div",f,[t(x)]),a("div",_,[t(e(m))])],4))}});export{$ as default}; diff --git a/assets/default-node-CM_FKz7Y.js b/assets/default-node-BIhtlSJe.js similarity index 89% rename from assets/default-node-CM_FKz7Y.js rename to assets/default-node-BIhtlSJe.js index 37640a1ba3de4792ffede44d2c07c22f87d03358..db46c5585966df515737dbe33956a586a9fa07a6 100644 --- a/assets/default-node-CM_FKz7Y.js +++ b/assets/default-node-BIhtlSJe.js @@ -1 +1 @@ -import{cq as t}from"./index-rD0Uu1v9.js";async function s(){const{createRequire:a}=await t(async()=>{const{createRequire:o}=await import("./__vite-browser-external-FmFgRqLi.js");return{createRequire:o}},[]),{dirname:n,resolve:e}=await t(async()=>{const{dirname:o,resolve:c}=await import("./__vite-browser-external-FmFgRqLi.js");return{dirname:o,resolve:c}},[]),d=a(import.meta.url),r=n(d.resolve("@duckdb/duckdb-wasm"));return{mvp:{mainModule:e(r,"./duckdb-mvp.wasm"),mainWorker:e(r,"./duckdb-node-mvp.worker.cjs")},eh:{mainModule:e(r,"./duckdb-eh.wasm"),mainWorker:e(r,"./duckdb-node-eh.worker.cjs")}}}export{s as getBundles}; +import{cq as t}from"./index-Dlp4W1Zl.js";async function s(){const{createRequire:a}=await t(async()=>{const{createRequire:o}=await import("./__vite-browser-external-FmFgRqLi.js");return{createRequire:o}},[]),{dirname:n,resolve:e}=await t(async()=>{const{dirname:o,resolve:c}=await import("./__vite-browser-external-FmFgRqLi.js");return{dirname:o,resolve:c}},[]),d=a(import.meta.url),r=n(d.resolve("@duckdb/duckdb-wasm"));return{mvp:{mainModule:e(r,"./duckdb-mvp.wasm"),mainWorker:e(r,"./duckdb-node-mvp.worker.cjs")},eh:{mainModule:e(r,"./duckdb-eh.wasm"),mainWorker:e(r,"./duckdb-node-eh.worker.cjs")}}}export{s as getBundles}; diff --git a/assets/delays-BG_vAngQ.js b/assets/delays-Cwu4yMJH.js similarity index 82% rename from assets/delays-BG_vAngQ.js rename to assets/delays-Cwu4yMJH.js index 21ff01eb4886d262cc09154da7a10b0c794a33ef..9f5b340bb239d9dbf6117e3548c70ab896406876 100644 --- a/assets/delays-BG_vAngQ.js +++ b/assets/delays-Cwu4yMJH.js @@ -1 +1 @@ -import{b as v,_,l as b}from"./queues-kGVt0l-U.js";import"./live2d-zip-loader-BdiFCiUD.js";import{d as k,g as d,c as s,o as l,a as e,b as y,e as x,D as i,bx as f,by as p}from"./index-rD0Uu1v9.js";import"./index-0_JGTbws.js";import"./queue-EbaGahVd.js";const z={flex:"","flex-col":"","gap-2":"","p-2":""},w={flex:"","flex-row":"","gap-2":""},h={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},M={"w-full":"",flex:"","flex-row":"","gap-4":""},V={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},D={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=k({__name:"delays",setup(E){const t=d(""),m=d([]),c=d([]),r=d(!1),u=v();u.onHandlerEvent("delay",a=>{c.value.push(a)});function g(){r.value=!0;const a=t.value.split("");for(const n of a)u.add(n);u.add(b),t.value="",r.value=!1}return(a,n)=>(l(),s("div",z,[e("div",w,[y(x(_),{modelValue:t.value,"onUpdate:modelValue":n[0]||(n[0]=o=>t.value=o),placeholder:"Message",p:"2",bg:"zinc-100 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dark:zinc-700","p-2":""},D={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=k({__name:"delays",setup(E){const t=d(""),m=d([]),c=d([]),r=d(!1),u=v();u.onHandlerEvent("delay",a=>{c.value.push(a)});function g(){r.value=!0;const a=t.value.split("");for(const n of a)u.add(n);u.add(b),t.value="",r.value=!1}return(a,n)=>(l(),s("div",z,[e("div",w,[y(x(_),{modelValue:t.value,"onUpdate:modelValue":n[0]||(n[0]=o=>t.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:g},null,8,["modelValue"]),e("button",h,i(r.value?"Processing...":"Send"),1)]),e("div",M,[e("div",V,[n[1]||(n[1]=e("h3",{"font-semibold":""}," Emotion Message ",-1)),(l(!0),s(f,null,p(m.value,o=>(l(),s("div",{key:o},[e("div",null,i(o),1)]))),128))]),e("div",D,[n[2]||(n[2]=e("h3",{"font-semibold":""}," Delays ",-1)),(l(!0),s(f,null,p(c.value,o=>(l(),s("div",{key:o},[e("div",null,i(o)+"s",1)]))),128))])])]))}});export{N as default}; diff --git a/assets/elevenlabs-BwDmvV0f.js b/assets/elevenlabs-3ONCU5wo.js similarity index 56% rename from assets/elevenlabs-BwDmvV0f.js rename to assets/elevenlabs-3ONCU5wo.js index ab3dcac44630efc8f0e3f6fbd477f043ee1ebb3e..806ac21038bdbf1a97727115a7dd654b8271ab6c 100644 --- a/assets/elevenlabs-BwDmvV0f.js +++ b/assets/elevenlabs-3ONCU5wo.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{d as y,s as S,h as i,x as w,o as k,y as u,b as d,e as r}from"./index-rD0Uu1v9.js";import{u as x}from"./providers-Dg3FpvfZ.js";import{u as C}from"./speech-CUKri9wm.js";import{_ as B,a as L,b as V}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-UpCqB8UJ.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-DtA_pyWZ.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";const t="elevenlabs",v="eleven_multilingual_v2",j=y({__name:"elevenlabs",setup(P){const n={similarityBoost:.75,stability:.5,speed:1,style:0,useSpeakerBoost:!0},a=C(),s=x(),{providers:m}=S(s),f=i(()=>{var e;return!!((e=m.value[t])!=null&&e.apiKey)}),g=i(()=>a.availableVoices[t]||[]),h=i(()=>a.availableLanguages);async function _(e,l,p){const o=s.getProviderInstance(t);if(!o)throw new Error("Failed to initialize speech provider");const c=s.getProviderConfig(t),b=c.model||v;return await a.speech(o,b,e,l,{...c,...n})}return(e,l)=>(k(),w(r(V),{"provider-id":t,"default-model":v,"additional-settings":n},{"voice-settings":u(({voiceSettings:p,updateVoiceSettings:o})=>[d(r(L),{settings:p,"show-similarity-boost":!0,"show-stability":!0,"show-speed":!0,"show-style":!0,"show-speaker-boost":!0,onUpdate:o},null,8,["settings","onUpdate"])]),playground:u(()=>[d(r(B),{"available-voices":g.value,"available-languages":h.value,"generate-speech":_,"api-key-configured":f.value,"default-text":"Hello! This is a test of the ElevenLabs voice synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{j as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as y,s as S,h as i,x as w,o as k,y as u,b as d,e as r}from"./index-Dlp4W1Zl.js";import{u as x}from"./providers-BRCa7xUS.js";import{u as C}from"./speech-DU07zXBj.js";import{_ as B,a as L,b as V}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-CgsOdTr3.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-DUVC_k0v.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";const t="elevenlabs",v="eleven_multilingual_v2",j=y({__name:"elevenlabs",setup(P){const n={similarityBoost:.75,stability:.5,speed:1,style:0,useSpeakerBoost:!0},a=C(),s=x(),{providers:m}=S(s),f=i(()=>{var e;return!!((e=m.value[t])!=null&&e.apiKey)}),g=i(()=>a.availableVoices[t]||[]),h=i(()=>a.availableLanguages);async function _(e,l,p){const o=s.getProviderInstance(t);if(!o)throw new Error("Failed to initialize speech provider");const c=s.getProviderConfig(t),b=c.model||v;return await a.speech(o,b,e,l,{...c,...n})}return(e,l)=>(k(),w(r(V),{"provider-id":t,"default-model":v,"additional-settings":n},{"voice-settings":u(({voiceSettings:p,updateVoiceSettings:o})=>[d(r(L),{settings:p,"show-similarity-boost":!0,"show-stability":!0,"show-speed":!0,"show-style":!0,"show-speaker-boost":!0,onUpdate:o},null,8,["settings","onUpdate"])]),playground:u(()=>[d(r(B),{"available-voices":g.value,"available-languages":h.value,"generate-speech":_,"api-key-configured":f.value,"default-text":"Hello! This is a test of the ElevenLabs voice synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{j as default}; diff --git a/assets/emotions-cpITk8zy.js b/assets/emotions-D6mNjsWQ.js similarity index 82% rename from assets/emotions-cpITk8zy.js rename to assets/emotions-D6mNjsWQ.js index e30a3d352916ad58e219cbca0d3c059ca336cb86..3cfe87b3c1a70cb6008ab0dccff7910e6934d7e4 100644 --- a/assets/emotions-cpITk8zy.js +++ b/assets/emotions-D6mNjsWQ.js @@ -1 +1 @@ -import{a as _,_ as b,l as k}from"./queues-kGVt0l-U.js";import"./live2d-zip-loader-BdiFCiUD.js";import{d as x,g as u,c as s,o as t,a as e,b as z,e as h,D as i,bx as f,by as m}from"./index-rD0Uu1v9.js";import{u as w}from"./queue-EbaGahVd.js";const y={flex:"","flex-col":"","gap-2":"","p-2":""},M={flex:"","flex-row":"","gap-2":""},V={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},E={"w-full":"",flex:"","flex-row":"","gap-4":""},Q={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},S={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=x({__name:"emotions",setup(B){const l=u(""),p=u([]),r=u([]),d=u(!1),g=w({handlers:[async a=>{r.value.push(a.data)}]}),c=_(g);function v(){d.value=!0;const a=l.value.split("");for(const o of a)c.add(o);c.add(k),l.value="",d.value=!1}return(a,o)=>(t(),s("div",y,[e("div",M,[z(h(b),{modelValue:l.value,"onUpdate:modelValue":o[0]||(o[0]=n=>l.value=n),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:v},null,8,["modelValue"]),e("button",V,i(d.value?"Processing...":"Send"),1)]),e("div",E,[e("div",Q,[o[1]||(o[1]=e("h3",{"font-semibold":""}," Messages ",-1)),(t(!0),s(f,null,m(p.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))]),e("div",S,[o[2]||(o[2]=e("h3",{"font-semibold":""}," Emotions ",-1)),(t(!0),s(f,null,m(r.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))])])]))}});export{N as default}; +import{a as _,_ as b,l as k}from"./queues-CJq1hDiQ.js";import"./live2d-zip-loader-C5j9stxV.js";import{d as x,g as u,c as s,o as t,a as e,b as z,e as h,D as i,bx as f,by as m}from"./index-Dlp4W1Zl.js";import{u as w}from"./queue-DW8o1RLT.js";const y={flex:"","flex-col":"","gap-2":"","p-2":""},M={flex:"","flex-row":"","gap-2":""},V={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},E={"w-full":"",flex:"","flex-row":"","gap-4":""},Q={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},S={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=x({__name:"emotions",setup(B){const l=u(""),p=u([]),r=u([]),d=u(!1),g=w({handlers:[async a=>{r.value.push(a.data)}]}),c=_(g);function v(){d.value=!0;const a=l.value.split("");for(const o of a)c.add(o);c.add(k),l.value="",d.value=!1}return(a,o)=>(t(),s("div",y,[e("div",M,[z(h(b),{modelValue:l.value,"onUpdate:modelValue":o[0]||(o[0]=n=>l.value=n),placeholder:"Message",p:"2",bg:"zinc-100 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100644 --- a/assets/fireworks-ai-DLDw3hxW.js +++ b/assets/fireworks-ai-BpaEuc1J.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{d as k,i as w,bE as U,s as V,h as v,m as y,w as $,x as K,o as h,y as p,b as l,e as t}from"./index-rD0Uu1v9.js";import{u as x}from"./providers-Dg3FpvfZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="fireworks-ai",H=k({__name:"fireworks-ai",setup(B){const{t:d}=w(),_=U(),m=x(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});y(()=>{var e,i;m.initializeProvider(a),r.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),$([r,s],()=>{o.value[a]={...o.value[a],apiKey:r.value,baseUrl:s.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 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t}from"./index-Dlp4W1Zl.js";import{u as x}from"./providers-BRCa7xUS.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="fireworks-ai",H=k({__name:"fireworks-ai",setup(B){const{t:d}=w(),_=U(),m=x(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),r=v({get:()=>{var e;return((e=o.value[a])==null?void 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u;return[l(t(N),{modelValue:r.value,"onUpdate:modelValue":i[0]||(i[0]=g=>r.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"fw-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[1]||(i[1]=u=>s.value=u),placeholder:"https://api.fireworks.ai/inference/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default}; diff --git a/assets/image-B7AzUr5g.js b/assets/image-CD6Zjbv1.js similarity index 95% rename from assets/image-B7AzUr5g.js rename to assets/image-CD6Zjbv1.js index a2c336ead1237339a4b6c309bfb8542f5390fdc9..b27c1d23407859bc7851edd07fc4564e2b7a09b5 100644 --- a/assets/image-B7AzUr5g.js +++ b/assets/image-CD6Zjbv1.js @@ -1,2 +1,2 @@ -import{d as _,g as c,bD as y,c as d,o as u,a,C as x,D as b,e as v,bn as w}from"./index-rD0Uu1v9.js";const C={bg:"neutral-100",flex:"~ col","items-center":"","justify-center":"","rounded-lg":"","px-4":"","py-3":""},h={key:0},D=["src"],U={bg:"neutral-100",class:"text-wrap-any","max-h":"100","overflow-scroll":"","rounded-lg":"","text-wrap":"","text-black":"","font-mono":""},R=_({__name:"image",setup(k){const p=c(),n=c(""),{copy:g}=y({source:n});async function m(r){return new Promise((e,o)=>{const t=new FileReader;t.onload=s=>{var l,i;e(((i=(l=s.target)==null?void 0:l.result)==null?void 0:i.toString())||"")},t.onerror=s=>{o(s)},t.readAsDataURL(r)})}async function f(r){var t;const o=(t=r.target.files)==null?void 0:t[0];if(o){p.value=o;const s=await m(o);n.value=s}}return(r,e)=>(u(),d("div",null,[a("label",C,[a("input",{type:"file",accept:"image/*",hidden:"",onChange:f},null,32),e[1]||(e[1]=a("span",null,"Upload Image",-1))]),n.value?(u(),d("div",h,[a("img",{src:n.value,alt:"Uploaded Image","w-100":""},null,8,D),a("pre",U," "+b(n.value)+` +import{d as _,g as c,bD as y,c as d,o as u,a,C as x,D as b,e as v,bn as w}from"./index-Dlp4W1Zl.js";const C={bg:"neutral-100",flex:"~ col","items-center":"","justify-center":"","rounded-lg":"","px-4":"","py-3":""},h={key:0},D=["src"],U={bg:"neutral-100",class:"text-wrap-any","max-h":"100","overflow-scroll":"","rounded-lg":"","text-wrap":"","text-black":"","font-mono":""},R=_({__name:"image",setup(k){const p=c(),n=c(""),{copy:g}=y({source:n});async function m(r){return new Promise((e,o)=>{const t=new FileReader;t.onload=s=>{var l,i;e(((i=(l=s.target)==null?void 0:l.result)==null?void 0:i.toString())||"")},t.onerror=s=>{o(s)},t.readAsDataURL(r)})}async function f(r){var t;const o=(t=r.target.files)==null?void 0:t[0];if(o){p.value=o;const s=await m(o);n.value=s}}return(r,e)=>(u(),d("div",null,[a("label",C,[a("input",{type:"file",accept:"image/*",hidden:"",onChange:f},null,32),e[1]||(e[1]=a("span",null,"Upload Image",-1))]),n.value?(u(),d("div",h,[a("img",{src:n.value,alt:"Uploaded 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$}from"./useIconAnimation-BDdHp70p.js";import{b as f}from"./route-block-B_A1xBdJ.js";const E={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},R={relative:""},T={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},V={text:"neutral-300 dark:neutral-500","text-nowrap":""},F={"text-nowrap":"","text-3xl":"","font-semibold":""},L={grid:"~ cols-2 gap-4"},M={key:1,text:"neutral-200/50 dark:neutral-500/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},j=S({__name:"index",setup(q){const{t:a}=h(),x=z(),_=N(),{allProvidersMetadata:g}=A(_),v=C(),{iconAnimationStarted:y,showIconAnimation:b,animationIcon:k}=$("i-lucide:brain");return(G,i)=>{const I=w,r=D("motion");return n(),s(p,null,[l((n(),s("div",E,[o("button",{onClick:i[0]||(i[0]=t=>e(x).back())},i[1]||(i[1]=[o("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),o("h1",R,[o("div",T,[o("span",V,m(e(a)("settings.title")),1)]),o("div",F,m(e(a)("settings.pages.providers.title")),1)])])),[[r]]),o("div",L,[(n(!0),s(p,null,B(e(g),(t,c)=>l((n(),d(e(P),{key:t.id,initial:{opacity:0,y:10},enter:{opacity:1,y:0},duration:250+c*10,delay:c*50,title:t.localizedName,description:t.localizedDescription,icon:t.icon,"icon-color":t.iconColor,"icon-image":t.iconImage,to:`/settings/providers/${t.id}`,configured:t.configured},null,8,["duration","delay","title","description","icon","icon-color","icon-image","to","configured"])),[[r]])),128))]),e(b)?(n(),d(I,{key:0,"z-index":-1,icon:e(k),"icon-size":12,duration:1e3,started:e(y),"is-reverse":!0,position:"calc(100dvw - 9.5rem), calc(100dvh - 9.5rem)","text-color":"text-neutral-200/50 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dark:neutral-500","text-nowrap":""},F={"text-nowrap":"","text-3xl":"","font-semibold":""},L={grid:"~ cols-2 gap-4"},M={key:1,text:"neutral-200/50 dark:neutral-500/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},j=S({__name:"index",setup(q){const{t:a}=h(),x=z(),_=N(),{allProvidersMetadata:g}=A(_),v=C(),{iconAnimationStarted:y,showIconAnimation:b,animationIcon:k}=$("i-lucide:brain");return(G,i)=>{const I=w,r=D("motion");return n(),s(p,null,[l((n(),s("div",E,[o("button",{onClick:i[0]||(i[0]=t=>e(x).back())},i[1]||(i[1]=[o("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),o("h1",R,[o("div",T,[o("span",V,m(e(a)("settings.title")),1)]),o("div",F,m(e(a)("settings.pages.providers.title")),1)])])),[[r]]),o("div",L,[(n(!0),s(p,null,B(e(g),(t,c)=>l((n(),d(e(P),{key:t.id,initial:{opacity:0,y:10},enter:{opacity:1,y:0},duration:250+c*10,delay:c*50,title:t.localizedName,description:t.localizedDescription,icon:t.icon,"icon-color":t.iconColor,"icon-image":t.iconImage,to:`/settings/providers/${t.id}`,configured:t.configured},null,8,["duration","delay","title","description","icon","icon-color","icon-image","to","configured"])),[[r]])),128))]),e(b)?(n(),d(I,{key:0,"z-index":-1,icon:e(k),"icon-size":12,duration:1e3,started:e(y),"is-reverse":!0,position:"calc(100dvw - 9.5rem), calc(100dvh - 9.5rem)","text-color":"text-neutral-200/50 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t.times.length-1;r[r.length-1]=e,r.set(t.times,0),i.set(t.values,0),i.set(o.evaluate(e),t.values.length),a=r.length-1}else for(let s=0;se){r.set(t.times.slice(0,s+1),0),r[s+1]=e,r.set(t.times.slice(s+1),s+2),i.set(t.values.slice(0,(s+1)*n),0),i.set(o.evaluate(e),(s+1)*n),i.set(t.values.slice((s+1)*n),(s+2)*n),a=s+1;break}}return t.times=r,t.values=i,a},mergeMorphTargetTracks:function(t,e){const n=[],r={},i=t.tracks;for(let o=0;o4?a=t.array[i*t.itemSize+o]:(o===0?a=t.getX(i):o===1?a=t.getY(i):o===2?a=t.getZ(i):o===3&&(a=t.getW(i)),t.normalized===!0&&(a=Dt.normalize(a,t.array))),r.min[o]=Math.min(r.min[o],a),r.max[o]=Math.max(r.max[o],a)}return r}function wa(t){return Math.ceil(t/4)*4}function fr(t,e=0){const n=wa(t.byteLength);if(n!==t.byteLength){const r=new Uint8Array(n);if(r.set(new Uint8Array(t)),e!==0)for(let i=t.byteLength;i"u"&&typeof OffscreenCanvas<"u"?new OffscreenCanvas(1,1):document.createElement("canvas")}function qi(t,e){if(t.toBlob!==void 0)return new Promise(r=>t.toBlob(r,e));let n;return e==="image/jpeg"?n=.92:e==="image/webp"&&(n=.8),t.convertToBlob({type:e,quality:n})}class Hu{constructor(){this.plugins=[],this.options={},this.pending=[],this.buffers=[],this.byteOffset=0,this.buffers=[],this.nodeMap=new Map,this.skins=[],this.extensionsUsed={},this.extensionsRequired={},this.uids=new Map,this.uid=0,this.json={asset:{version:"2.0",generator:"THREE.GLTFExporter"}},this.cache={meshes:new Map,attributes:new Map,attributesNormalized:new Map,materials:new Map,textures:new Map,images:new Map}}setPlugins(e){this.plugins=e}async write(e,n,r={}){this.options=Object.assign({binary:!1,trs:!1,onlyVisible:!0,maxTextureSize:1/0,animations:[],includeCustomExtensions:!1},r),this.options.animations.length>0&&(this.options.trs=!0),this.processInput(e),await Promise.all(this.pending);const i=this,o=i.buffers,a=i.json;r=i.options;const s=i.extensionsUsed,l=i.extensionsRequired,u=new Blob(o,{type:"application/octet-stream"}),c=Object.keys(s),f=Object.keys(l);c.length>0&&(a.extensionsUsed=c),f.length>0&&(a.extensionsRequired=f),a.buffers&&a.buffers.length>0&&(a.buffers[0].byteLength=u.size),r.binary===!0?u.arrayBuffer().then(p=>{const d=fr(p),b=new DataView(new ArrayBuffer(Gi));b.setUint32(0,d.byteLength,!0),b.setUint32(4,Bu,!0);const x=fr(Uu(JSON.stringify(a)),32),v=new DataView(new ArrayBuffer(Gi));v.setUint32(0,x.byteLength,!0),v.setUint32(4,Fu,!0);const T=new ArrayBuffer(Hi),I=new DataView(T);I.setUint32(0,Ou,!0),I.setUint32(4,zu,!0);const A=Hi+v.byteLength+x.byteLength+b.byteLength+d.byteLength;I.setUint32(8,A,!0),new Blob([T,v,x,b,d],{type:"application/octet-stream"}).arrayBuffer().then(n)}):a.buffers&&a.buffers.length>0?Ui(u).then(p=>{a.buffers[0].uri=p,n(a)}):n(a)}serializeUserData(e,n){if(Object.keys(e.userData).length===0)return;const r=this.options,i=this.extensionsUsed;try{const o=JSON.parse(JSON.stringify(e.userData));if(r.includeCustomExtensions&&o.gltfExtensions){n.extensions===void 0&&(n.extensions={});for(const a in o.gltfExtensions)n.extensions[a]=o.gltfExtensions[a],i[a]=!0;delete o.gltfExtensions}Object.keys(o).length>0&&(n.extras=o)}catch(o){console.warn("THREE.GLTFExporter: userData of '"+e.name+"' won't be serialized because of JSON.stringify error - "+o.message)}}getUID(e,n=!1){if(this.uids.has(e)===!1){const r=new Map;r.set(!0,this.uid++),r.set(!1,this.uid++),this.uids.set(e,r)}return this.uids.get(e).get(n)}isNormalizedNormalAttribute(e){if(this.cache.attributesNormalized.has(e))return!1;const n=new ae;for(let r=0,i=e.count;r5e-4)return!1;return!0}createNormalizedNormalAttribute(e){const n=this.cache;if(n.attributesNormalized.has(e))return n.attributesNormalized.get(e);const r=e.clone(),i=new ae;for(let o=0,a=r.count;o4?b=e.array[p*e.itemSize+d]:(d===0?b=e.getX(p):d===1?b=e.getY(p):d===2?b=e.getZ(p):d===3&&(b=e.getW(p)),e.normalized===!0&&(b=Dt.normalize(b,e.array))),n===me.FLOAT?u.setFloat32(c,b,!0):n===me.INT?u.setInt32(c,b,!0):n===me.UNSIGNED_INT?u.setUint32(c,b,!0):n===me.SHORT?u.setInt16(c,b,!0):n===me.UNSIGNED_SHORT?u.setUint16(c,b,!0):n===me.BYTE?u.setInt8(c,b):n===me.UNSIGNED_BYTE&&u.setUint8(c,b),c+=s}const f={buffer:this.processBuffer(u.buffer),byteOffset:this.byteOffset,byteLength:l};return o!==void 0&&(f.target=o),o===me.ARRAY_BUFFER&&(f.byteStride=e.itemSize*s),this.byteOffset+=l,a.bufferViews.push(f),{id:a.bufferViews.length-1,byteLength:0}}processBufferViewImage(e){const n=this,r=n.json;return r.bufferViews||(r.bufferViews=[]),e.arrayBuffer().then(i=>{const o=fr(i),a={buffer:n.processBuffer(o),byteOffset:n.byteOffset,byteLength:o.byteLength};return n.byteOffset+=o.byteLength,r.bufferViews.push(a)-1})}processAccessor(e,n,r,i){const o=this.json,a={1:"SCALAR",2:"VEC2",3:"VEC3",4:"VEC4",9:"MAT3",16:"MAT4"};let s;if(e.array.constructor===Float32Array)s=me.FLOAT;else if(e.array.constructor===Int32Array)s=me.INT;else if(e.array.constructor===Uint32Array)s=me.UNSIGNED_INT;else if(e.array.constructor===Int16Array)s=me.SHORT;else if(e.array.constructor===Uint16Array)s=me.UNSIGNED_SHORT;else if(e.array.constructor===Int8Array)s=me.BYTE;else if(e.array.constructor===Uint8Array)s=me.UNSIGNED_BYTE;else throw new Error("THREE.GLTFExporter: Unsupported bufferAttribute component type: "+e.array.constructor.name);if(r===void 0&&(r=0),i===void 0&&(i=e.count),i===0)return null;const l=Vu(e,r,i);let u;n!==void 0&&(u=e===n.index?me.ELEMENT_ARRAY_BUFFER:me.ARRAY_BUFFER);const c=this.processBufferView(e,s,r,i,u),f={bufferView:c.id,byteOffset:c.byteOffset,componentType:s,count:i,max:l.max,min:l.min,type:a[e.itemSize]};return e.normalized===!0&&(f.normalized=!0),o.accessors||(o.accessors=[]),o.accessors.push(f)-1}processImage(e,n,r,i="image/png"){if(e!==null){const o=this,a=o.cache,s=o.json,l=o.options,u=o.pending;a.images.has(e)||a.images.set(e,{});const c=a.images.get(e),f=i+":flipY/"+r.toString();if(c[f]!==void 0)return c[f];s.images||(s.images=[]);const p={mimeType:i},d=$i();d.width=Math.min(e.width,l.maxTextureSize),d.height=Math.min(e.height,l.maxTextureSize);const b=d.getContext("2d");if(r===!0&&(b.translate(0,d.height),b.scale(1,-1)),e.data!==void 0){n!==Lr&&console.error("GLTFExporter: Only RGBAFormat is supported.",n),(e.width>l.maxTextureSize||e.height>l.maxTextureSize)&&console.warn("GLTFExporter: Image size is bigger than maxTextureSize",e);const v=new Uint8ClampedArray(e.height*e.width*4);for(let T=0;To.processBufferViewImage(v)).then(v=>{p.bufferView=v})):d.toDataURL!==void 0?p.uri=d.toDataURL(i):u.push(qi(d,i).then(Ui).then(v=>{p.uri=v}));const x=s.images.push(p)-1;return c[f]=x,x}else throw new Error("THREE.GLTFExporter: No valid image data found. Unable to process texture.")}processSampler(e){const n=this.json;n.samplers||(n.samplers=[]);const r={magFilter:Je[e.magFilter],minFilter:Je[e.minFilter],wrapS:Je[e.wrapS],wrapT:Je[e.wrapT]};return n.samplers.push(r)-1}processTexture(e){const n=this.options,r=this.cache,i=this.json;if(r.textures.has(e))return r.textures.get(e);i.textures||(i.textures=[]),e instanceof er&&(e=ur(e,n.maxTextureSize));let o=e.userData.mimeType;o==="image/webp"&&(o="image/png");const a={sampler:this.processSampler(e),source:this.processImage(e.image,e.format,e.flipY,o)};e.name&&(a.name=e.name),this._invokeAll(function(l){l.writeTexture&&l.writeTexture(e,a)});const s=i.textures.push(a)-1;return r.textures.set(e,s),s}processMaterial(e){const n=this.cache,r=this.json;if(n.materials.has(e))return n.materials.get(e);if(e.isShaderMaterial)return console.warn("GLTFExporter: THREE.ShaderMaterial not supported."),null;r.materials||(r.materials=[]);const i={pbrMetallicRoughness:{}};e.isMeshStandardMaterial!==!0&&e.isMeshBasicMaterial!==!0&&console.warn("GLTFExporter: Use MeshStandardMaterial or MeshBasicMaterial for best results.");const o=e.color.toArray().concat([e.opacity]);if(un(o,[1,1,1,1])||(i.pbrMetallicRoughness.baseColorFactor=o),e.isMeshStandardMaterial?(i.pbrMetallicRoughness.metallicFactor=e.metalness,i.pbrMetallicRoughness.roughnessFactor=e.roughness):(i.pbrMetallicRoughness.metallicFactor=.5,i.pbrMetallicRoughness.roughnessFactor=.5),e.metalnessMap||e.roughnessMap){const s=this.buildMetalRoughTexture(e.metalnessMap,e.roughnessMap),l={index:this.processTexture(s),channel:s.channel};this.applyTextureTransform(l,s),i.pbrMetallicRoughness.metallicRoughnessTexture=l}if(e.map){const s={index:this.processTexture(e.map),texCoord:e.map.channel};this.applyTextureTransform(s,e.map),i.pbrMetallicRoughness.baseColorTexture=s}if(e.emissive){const s=e.emissive;if(Math.max(s.r,s.g,s.b)>0&&(i.emissiveFactor=e.emissive.toArray()),e.emissiveMap){const l={index:this.processTexture(e.emissiveMap),texCoord:e.emissiveMap.channel};this.applyTextureTransform(l,e.emissiveMap),i.emissiveTexture=l}}if(e.normalMap){const s={index:this.processTexture(e.normalMap),texCoord:e.normalMap.channel};e.normalScale&&e.normalScale.x!==1&&(s.scale=e.normalScale.x),this.applyTextureTransform(s,e.normalMap),i.normalTexture=s}if(e.aoMap){const s={index:this.processTexture(e.aoMap),texCoord:e.aoMap.channel};e.aoMapIntensity!==1&&(s.strength=e.aoMapIntensity),this.applyTextureTransform(s,e.aoMap),i.occlusionTexture=s}e.transparent?i.alphaMode="BLEND":e.alphaTest>0&&(i.alphaMode="MASK",i.alphaCutoff=e.alphaTest),e.side===Yn&&(i.doubleSided=!0),e.name!==""&&(i.name=e.name),this.serializeUserData(e,i),this._invokeAll(function(s){s.writeMaterial&&s.writeMaterial(e,i)});const a=r.materials.push(i)-1;return n.materials.set(e,a),a}processMesh(e){const n=this.cache,r=this.json,i=[e.geometry.uuid];if(Array.isArray(e.material))for(let A=0,C=e.material.length;A=152?{uv:"TEXCOORD_0",uv1:"TEXCOORD_1",uv2:"TEXCOORD_2",uv3:"TEXCOORD_3"}:{uv:"TEXCOORD_0",uv2:"TEXCOORD_1"},color:"COLOR_0",skinWeight:"WEIGHTS_0",skinIndex:"JOINTS_0"},d=a.getAttribute("normal");d!==void 0&&!this.isNormalizedNormalAttribute(d)&&(console.warn("THREE.GLTFExporter: Creating normalized normal attribute from the non-normalized one."),a.setAttribute("normal",this.createNormalizedNormalAttribute(d)));let b=null;for(let A in a.attributes){if(A.slice(0,5)==="morph")continue;const C=a.attributes[A];if(A=p[A]||A.toUpperCase(),/^(POSITION|NORMAL|TANGENT|TEXCOORD_\d+|COLOR_\d+|JOINTS_\d+|WEIGHTS_\d+)$/.test(A)||(A="_"+A),n.attributes.has(this.getUID(C))){u[A]=n.attributes.get(this.getUID(C));continue}b=null;const P=C.array;A==="JOINTS_0"&&!(P instanceof Uint16Array)&&!(P instanceof Uint8Array)&&(console.warn('GLTFExporter: Attribute "skinIndex" converted to type UNSIGNED_SHORT.'),b=new Nt(new Uint16Array(P),C.itemSize,C.normalized));const h=this.processAccessor(b||C,a);h!==null&&(A.startsWith("_")||this.detectMeshQuantization(A,C),u[A]=h,n.attributes.set(this.getUID(C),h))}if(d!==void 0&&a.setAttribute("normal",d),Object.keys(u).length===0)return null;if(e.morphTargetInfluences!==void 0&&e.morphTargetInfluences.length>0){const A=[],C=[],P={};if(e.morphTargetDictionary!==void 0)for(const h in e.morphTargetDictionary)P[e.morphTargetDictionary[h]]=h;for(let h=0;h0&&(l.extras={},l.extras.targetNames=C)}const x=Array.isArray(e.material);if(x&&a.groups.length===0)return null;const v=x?e.material:[e.material],T=x?a.groups:[{materialIndex:0,start:void 0,count:void 0}];for(let A=0,C=T.length;A0&&(P.targets=f),a.index!==null){let S=this.getUID(a.index);(T[A].start!==void 0||T[A].count!==void 0)&&(S+=":"+T[A].start+":"+T[A].count),n.attributes.has(S)?P.indices=n.attributes.get(S):(P.indices=this.processAccessor(a.index,a,T[A].start,T[A].count),n.attributes.set(S,P.indices)),P.indices===null&&delete P.indices}const h=this.processMaterial(v[T[A].materialIndex]);h!==null&&(P.material=h),c.push(P)}l.primitives=c,r.meshes||(r.meshes=[]),this._invokeAll(function(A){A.writeMesh&&A.writeMesh(e,l)});const I=r.meshes.push(l)-1;return n.meshes.set(o,I),I}detectMeshQuantization(e,n){if(this.extensionsUsed[cr])return;let r;switch(n.array.constructor){case Int8Array:r="byte";break;case Uint8Array:r="unsigned byte";break;case Int16Array:r="short";break;case Uint16Array:r="unsigned short";break;default:return}n.normalized&&(r+=" normalized");const i=e.split("_",1)[0];ji[i]&&ji[i].includes(r)&&(this.extensionsUsed[cr]=!0,this.extensionsRequired[cr]=!0)}processCamera(e){const n=this.json;n.cameras||(n.cameras=[]);const r=e.isOrthographicCamera,i={type:r?"orthographic":"perspective"};return r?i.orthographic={xmag:e.right*2,ymag:e.top*2,zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near}:i.perspective={aspectRatio:e.aspect,yfov:Dt.degToRad(e.fov),zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near},e.name!==""&&(i.name=e.type),n.cameras.push(i)-1}processAnimation(e,n){const r=this.json,i=this.nodeMap;r.animations||(r.animations=[]),e=ba.Utils.mergeMorphTargetTracks(e.clone(),n);const o=e.tracks,a=[],s=[];for(let l=0;l0){const s=[];for(let l=0,u=e.children.length;l0&&(o.children=s)}this._invokeAll(function(s){s.writeNode&&s.writeNode(e,o)});const a=n.nodes.push(o)-1;return i.set(e,a),a}processScene(e){const n=this.json,r=this.options;n.scenes||(n.scenes=[],n.scene=0);const i={};e.name!==""&&(i.name=e.name),n.scenes.push(i);const o=[];for(let a=0,s=e.children.length;a0&&(i.nodes=o),this.serializeUserData(e,i)}processObjects(e){const n=new Pr;n.name="AuxScene";for(let r=0;r0&&this.processObjects(r);for(let i=0;i0&&(a.range=e.distance)):e.isSpotLight&&(a.type="spot",e.distance>0&&(a.range=e.distance),a.spot={},a.spot.innerConeAngle=(e.penumbra-1)*e.angle*-1,a.spot.outerConeAngle=e.angle),e.decay!==void 0&&e.decay!==2&&console.warn("THREE.GLTFExporter: Light decay may be lost. glTF is physically-based, and expects light.decay=2."),e.target&&(e.target.parent!==e||e.target.position.x!==0||e.target.position.y!==0||e.target.position.z!==-1)&&console.warn("THREE.GLTFExporter: Light direction may be lost. For best results, make light.target a child of the light with position 0,0,-1."),o[this.name]||(i.extensions=i.extensions||{},i.extensions[this.name]={lights:[]},o[this.name]=!0);const s=i.extensions[this.name].lights;s.push(a),n.extensions=n.extensions||{},n.extensions[this.name]={light:s.length-1}}}let $u=class{constructor(t){this.writer=t,this.name="KHR_materials_unlit"}writeMaterial(t,e){if(!t.isMeshBasicMaterial)return;const n=this.writer.extensionsUsed;e.extensions=e.extensions||{},e.extensions[this.name]={},n[this.name]=!0,e.pbrMetallicRoughness.metallicFactor=0,e.pbrMetallicRoughness.roughnessFactor=.9}},qu=class{constructor(t){this.writer=t,this.name="KHR_materials_clearcoat"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.clearcoat===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.clearcoatFactor=t.clearcoat,t.clearcoatMap){const o={index:n.processTexture(t.clearcoatMap),texCoord:t.clearcoatMap.channel};n.applyTextureTransform(o,t.clearcoatMap),i.clearcoatTexture=o}if(i.clearcoatRoughnessFactor=t.clearcoatRoughness,t.clearcoatRoughnessMap){const o={index:n.processTexture(t.clearcoatRoughnessMap),texCoord:t.clearcoatRoughnessMap.channel};n.applyTextureTransform(o,t.clearcoatRoughnessMap),i.clearcoatRoughnessTexture=o}if(t.clearcoatNormalMap){const o={index:n.processTexture(t.clearcoatNormalMap),texCoord:t.clearcoatNormalMap.channel};n.applyTextureTransform(o,t.clearcoatNormalMap),i.clearcoatNormalTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Yu=class{constructor(t){this.writer=t,this.name="KHR_materials_iridescence"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.iridescence===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.iridescenceFactor=t.iridescence,t.iridescenceMap){const o={index:n.processTexture(t.iridescenceMap),texCoord:t.iridescenceMap.channel};n.applyTextureTransform(o,t.iridescenceMap),i.iridescenceTexture=o}if(i.iridescenceIor=t.iridescenceIOR,i.iridescenceThicknessMinimum=t.iridescenceThicknessRange[0],i.iridescenceThicknessMaximum=t.iridescenceThicknessRange[1],t.iridescenceThicknessMap){const o={index:n.processTexture(t.iridescenceThicknessMap),texCoord:t.iridescenceThicknessMap.channel};n.applyTextureTransform(o,t.iridescenceThicknessMap),i.iridescenceThicknessTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ku=class{constructor(t){this.writer=t,this.name="KHR_materials_transmission"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.transmission===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.transmissionFactor=t.transmission,t.transmissionMap){const o={index:n.processTexture(t.transmissionMap),texCoord:t.transmissionMap.channel};n.applyTextureTransform(o,t.transmissionMap),i.transmissionTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Wu=class{constructor(t){this.writer=t,this.name="KHR_materials_volume"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.transmission===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.thicknessFactor=t.thickness,t.thicknessMap){const o={index:n.processTexture(t.thicknessMap),texCoord:t.thicknessMap.channel};n.applyTextureTransform(o,t.thicknessMap),i.thicknessTexture=o}i.attenuationDistance=t.attenuationDistance,i.attenuationColor=t.attenuationColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Xu=class{constructor(t){this.writer=t,this.name="KHR_materials_ior"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.ior===1.5)return;const n=this.writer.extensionsUsed,r={};r.ior=t.ior,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}},Qu=class{constructor(t){this.writer=t,this.name="KHR_materials_specular"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.specularIntensity===1&&t.specularColor.equals(Du)&&!t.specularIntensityMap&&!t.specularColorTexture)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.specularIntensityMap){const o={index:n.processTexture(t.specularIntensityMap),texCoord:t.specularIntensityMap.channel};n.applyTextureTransform(o,t.specularIntensityMap),i.specularTexture=o}if(t.specularColorMap){const o={index:n.processTexture(t.specularColorMap),texCoord:t.specularColorMap.channel};n.applyTextureTransform(o,t.specularColorMap),i.specularColorTexture=o}i.specularFactor=t.specularIntensity,i.specularColorFactor=t.specularColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Zu=class{constructor(t){this.writer=t,this.name="KHR_materials_sheen"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.sheen==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.sheenRoughnessMap){const o={index:n.processTexture(t.sheenRoughnessMap),texCoord:t.sheenRoughnessMap.channel};n.applyTextureTransform(o,t.sheenRoughnessMap),i.sheenRoughnessTexture=o}if(t.sheenColorMap){const o={index:n.processTexture(t.sheenColorMap),texCoord:t.sheenColorMap.channel};n.applyTextureTransform(o,t.sheenColorMap),i.sheenColorTexture=o}i.sheenRoughnessFactor=t.sheenRoughness,i.sheenColorFactor=t.sheenColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ju=class{constructor(t){this.writer=t,this.name="KHR_materials_anisotropy"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.anisotropy==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.anisotropyMap){const o={index:n.processTexture(t.anisotropyMap)};n.applyTextureTransform(o,t.anisotropyMap),i.anisotropyTexture=o}i.anisotropyStrength=t.anisotropy,i.anisotropyRotation=t.anisotropyRotation,e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},ec=class{constructor(t){this.writer=t,this.name="KHR_materials_emissive_strength"}writeMaterial(t,e){if(!t.isMeshStandardMaterial||t.emissiveIntensity===1)return;const n=this.writer.extensionsUsed,r={};r.emissiveStrength=t.emissiveIntensity,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}};var xn=Uint8Array,Ta=Uint16Array,tc=Uint32Array,nc=new xn([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0,0,0,0]),rc=new xn([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,0,0]),ka=function(t,e){for(var n=new Ta(31),r=0;r<31;++r)n[r]=e+=1<>>1|(Ne&21845)<<1;wt=(wt&52428)>>>2|(wt&13107)<<2,wt=(wt&61680)>>>4|(wt&3855)<<4,ac[Ne]=((wt&65280)>>>8|(wt&255)<<8)>>>1}var Wn=new xn(288);for(var Ne=0;Ne<144;++Ne)Wn[Ne]=8;for(var Ne=144;Ne<256;++Ne)Wn[Ne]=9;for(var Ne=256;Ne<280;++Ne)Wn[Ne]=7;for(var Ne=280;Ne<288;++Ne)Wn[Ne]=8;var sc=new xn(32);for(var Ne=0;Ne<32;++Ne)sc[Ne]=5;var lc=new xn(0),uc=typeof TextDecoder<"u"&&new TextDecoder,cc=0;try{uc.decode(lc,{stream:!0}),cc=1}catch{}var fc=Object.defineProperty,dc=(t,e,n)=>e in t?fc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,pc=(t,e,n)=>(dc(t,e+"",n),n);const Aa=class extends Pt{constructor(t,e={}){super(t),this.isReflector=!0,this.type="Reflector",this.camera=new Et;const n=this,r=e.color!==void 0?new Fe(e.color):new Fe(8355711),i=e.textureWidth||512,o=e.textureHeight||512,a=e.clipBias||0,s=e.shader||Aa.ReflectorShader,l=e.multisample!==void 0?e.multisample:4,u=new Xo,c=new ae,f=new ae,p=new ae,d=new xt,b=new ae(0,0,-1),x=new Mt,v=new ae,T=new ae,I=new Mt,A=new xt,C=this.camera,P=new Js(i,o,{samples:l,type:el}),h=new yn({uniforms:ri.clone(s.uniforms),fragmentShader:s.fragmentShader,vertexShader:s.vertexShader});h.uniforms.tDiffuse.value=P.texture,h.uniforms.color.value=r,h.uniforms.textureMatrix.value=A,this.material=h,this.onBeforeRender=function(S,y,g){if(f.setFromMatrixPosition(n.matrixWorld),p.setFromMatrixPosition(g.matrixWorld),d.extractRotation(n.matrixWorld),c.set(0,0,1),c.applyMatrix4(d),v.subVectors(f,p),v.dot(c)>0)return;v.reflect(c).negate(),v.add(f),d.extractRotation(g.matrixWorld),b.set(0,0,-1),b.applyMatrix4(d),b.add(p),T.subVectors(f,b),T.reflect(c).negate(),T.add(f),C.position.copy(v),C.up.set(0,1,0),C.up.applyMatrix4(d),C.up.reflect(c),C.lookAt(T),C.far=g.far,C.updateMatrixWorld(),C.projectionMatrix.copy(g.projectionMatrix),A.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),A.multiply(C.projectionMatrix),A.multiply(C.matrixWorldInverse),A.multiply(n.matrixWorld),u.setFromNormalAndCoplanarPoint(c,f),u.applyMatrix4(C.matrixWorldInverse),x.set(u.normal.x,u.normal.y,u.normal.z,u.constant);const m=C.projectionMatrix;I.x=(Math.sign(x.x)+m.elements[8])/m.elements[0],I.y=(Math.sign(x.y)+m.elements[9])/m.elements[5],I.z=-1,I.w=(1+m.elements[10])/m.elements[14],x.multiplyScalar(2/x.dot(I)),m.elements[2]=x.x,m.elements[6]=x.y,m.elements[10]=x.z+1-a,m.elements[14]=x.w,n.visible=!1;const k=S.getRenderTarget(),E=S.xr.enabled,O=S.shadowMap.autoUpdate,F=S.toneMapping;let D=!1;"outputColorSpace"in S?D=S.outputColorSpace==="srgb":D=S.outputEncoding===3001,S.xr.enabled=!1,S.shadowMap.autoUpdate=!1,"outputColorSpace"in S?S.outputColorSpace="srgb-linear":S.outputEncoding=3e3,S.toneMapping=tl,S.setRenderTarget(P),S.state.buffers.depth.setMask(!0),S.autoClear===!1&&S.clear(),S.render(y,C),S.xr.enabled=E,S.shadowMap.autoUpdate=O,S.toneMapping=F,"outputColorSpace"in S?S.outputColorSpace=D?"srgb":"srgb-linear":S.outputEncoding=D?3001:3e3,S.setRenderTarget(k);const B=g.viewport;B!==void 0&&S.state.viewport(B),n.visible=!0},this.getRenderTarget=function(){return P},this.dispose=function(){P.dispose(),n.material.dispose()}}};let zr=Aa;pc(zr,"ReflectorShader",{uniforms:{color:{value:null},tDiffuse:{value:null},textureMatrix:{value:null}},vertexShader:` uniform mat4 textureMatrix; varying vec4 vUv; @@ -120,7 +120,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config #include #include <${fi>=154?"colorspace_fragment":"encodings_fragment"}> - }`});var hc=Object.defineProperty,mc=(t,e,n)=>e in t?hc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Es=(t,e,n)=>(mc(t,typeof e!="symbol"?e+"":e,n),n);const Xn=new Qo,gc=new Float32Array([-1,-1,0,0,0,1,-1,0,1,0,1,1,0,1,1,-1,1,0,0,1]),Ms=new Zo(gc,5);Xn.setIndex([0,1,2,0,2,3]);Xn.setAttribute("position",new ni(Ms,3,0,!1));Xn.setAttribute("uv",new ni(Ms,2,3,!1));const zr=class extends Pt{constructor(){super(zr.Geometry,new Ht({opacity:0,transparent:!0})),this.isLensflare=!0,this.type="Lensflare",this.frustumCulled=!1,this.renderOrder=1/0;const t=new se,e=new se,n=new Ri(new Uint8Array(16*16*3),16,16,Lr);n.minFilter=Lt,n.magFilter=Lt,n.wrapS=Gt,n.wrapT=Gt;const r=new Ri(new Uint8Array(16*16*3),16,16,Lr);r.minFilter=Lt,r.magFilter=Lt,r.wrapS=Gt,r.wrapT=Gt;const i=zr.Geometry,o=new tr({uniforms:{scale:{value:null},screenPosition:{value:null}},vertexShader:` + }`});var hc=Object.defineProperty,mc=(t,e,n)=>e in t?hc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Ea=(t,e,n)=>(mc(t,typeof e!="symbol"?e+"":e,n),n);const Xn=new Qo,gc=new Float32Array([-1,-1,0,0,0,1,-1,0,1,0,1,1,0,1,1,-1,1,0,0,1]),Ma=new Zo(gc,5);Xn.setIndex([0,1,2,0,2,3]);Xn.setAttribute("position",new ni(Ma,3,0,!1));Xn.setAttribute("uv",new ni(Ma,2,3,!1));const Fr=class extends Pt{constructor(){super(Fr.Geometry,new Ht({opacity:0,transparent:!0})),this.isLensflare=!0,this.type="Lensflare",this.frustumCulled=!1,this.renderOrder=1/0;const t=new ae,e=new ae,n=new Ri(new Uint8Array(16*16*3),16,16,Lr);n.minFilter=Lt,n.magFilter=Lt,n.wrapS=Gt,n.wrapT=Gt;const r=new Ri(new Uint8Array(16*16*3),16,16,Lr);r.minFilter=Lt,r.magFilter=Lt,r.wrapS=Gt,r.wrapT=Gt;const i=Fr.Geometry,o=new tr({uniforms:{scale:{value:null},screenPosition:{value:null}},vertexShader:` precision highp float; @@ -141,7 +141,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config gl_FragColor = vec4( 1.0, 0.0, 1.0, 1.0 ); - }`,depthTest:!0,depthWrite:!1,transparent:!1}),s=new tr({uniforms:{map:{value:n},scale:{value:null},screenPosition:{value:null}},vertexShader:` + }`,depthTest:!0,depthWrite:!1,transparent:!1}),a=new tr({uniforms:{map:{value:n},scale:{value:null},screenPosition:{value:null}},vertexShader:` precision highp float; @@ -171,7 +171,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config gl_FragColor = texture2D( map, vUV ); - }`,depthTest:!1,depthWrite:!1,transparent:!1}),a=new Pt(i,o),l=[],u=Ss.Shader,c=new tr({uniforms:{map:{value:null},occlusionMap:{value:r},color:{value:new ze(16777215)},scale:{value:new Pe},screenPosition:{value:new se}},vertexShader:u.vertexShader,fragmentShader:u.fragmentShader,blending:nl,transparent:!0,depthWrite:!1}),f=new Pt(i,c);this.addElement=function(v){l.push(v)};const p=new Pe,d=new Pe,b=new rl,x=new Mt;this.onBeforeRender=function(v,T,I){v.getCurrentViewport(x);const _=x.w/x.z,C=x.z/2,P=x.w/2;let h=16/x.w;if(p.set(h*_,h),b.min.set(x.x,x.y),b.max.set(x.x+(x.z-16),x.y+(x.w-16)),e.setFromMatrixPosition(this.matrixWorld),e.applyMatrix4(I.matrixWorldInverse),!(e.z>0)&&(t.copy(e).applyMatrix4(I.projectionMatrix),d.x=x.x+t.x*C+C-8,d.y=x.y+t.y*P+P-8,b.containsPoint(d))){v.copyFramebufferToTexture(d,n);let M=o.uniforms;M.scale.value=p,M.screenPosition.value=t,v.renderBufferDirect(I,null,i,o,a,null),v.copyFramebufferToTexture(d,r),M=s.uniforms,M.scale.value=p,M.screenPosition.value=t,v.renderBufferDirect(I,null,i,s,a,null);const y=-t.x*2,g=-t.y*2;for(let m=0,k=l.length;m0)&&(t.copy(e).applyMatrix4(I.projectionMatrix),d.x=x.x+t.x*C+C-8,d.y=x.y+t.y*P+P-8,b.containsPoint(d))){v.copyFramebufferToTexture(d,n);let S=o.uniforms;S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,o,s,null),v.copyFramebufferToTexture(d,r),S=a.uniforms,S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,a,s,null);const y=-t.x*2,g=-t.y*2;for(let m=0,k=l.length;me in t?Ta(t,e,{enumerable:!0,config gl_FragColor = texture; gl_FragColor.rgb *= color; - }`});var xc=Object.defineProperty,vc=(t,e,n)=>e in t?xc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Is=(t,e,n)=>(vc(t,typeof e!="symbol"?e+"":e,n),n);const Pn={uniforms:{turbidity:{value:2},rayleigh:{value:1},mieCoefficient:{value:.005},mieDirectionalG:{value:.8},sunPosition:{value:new se},up:{value:new se(0,1,0)}},vertexShader:` + }`});var xc=Object.defineProperty,vc=(t,e,n)=>e in t?xc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Ia=(t,e,n)=>(vc(t,typeof e!="symbol"?e+"":e,n),n);const Pn={uniforms:{turbidity:{value:2},rayleigh:{value:1},mieCoefficient:{value:.005},mieDirectionalG:{value:.8},sunPosition:{value:new ae},up:{value:new ae(0,1,0)}},vertexShader:` uniform vec3 sunPosition; uniform float rayleigh; uniform float turbidity; @@ -382,8 +382,8 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config #include <${fi>=154?"colorspace_fragment":"encodings_fragment"}> } - `},Rs=new yn({name:"SkyShader",fragmentShader:Pn.fragmentShader,vertexShader:Pn.vertexShader,uniforms:ri.clone(Pn.uniforms),side:Va,depthWrite:!1});class Cs extends Pt{constructor(){super(new Za(1,1,1),Rs)}}Is(Cs,"SkyShader",Pn);Is(Cs,"material",Rs);new Ha;new se;new Jo(0,0,0,"YXZ");new se;var bc=Object.defineProperty,wc=(t,e,n)=>e in t?bc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,re=(t,e,n)=>(wc(t,typeof e!="symbol"?e+"":e,n),n);const Mn=new ja,qi=new Xo,Tc=Math.cos(70*(Math.PI/180)),Ki=(t,e)=>(t%e+e)%e;class kc extends Ua{constructor(e,n){super(),re(this,"object"),re(this,"domElement"),re(this,"enabled",!0),re(this,"target",new se),re(this,"minDistance",0),re(this,"maxDistance",1/0),re(this,"minZoom",0),re(this,"maxZoom",1/0),re(this,"minPolarAngle",0),re(this,"maxPolarAngle",Math.PI),re(this,"minAzimuthAngle",-1/0),re(this,"maxAzimuthAngle",1/0),re(this,"enableDamping",!1),re(this,"dampingFactor",.05),re(this,"enableZoom",!0),re(this,"zoomSpeed",1),re(this,"enableRotate",!0),re(this,"rotateSpeed",1),re(this,"enablePan",!0),re(this,"panSpeed",1),re(this,"screenSpacePanning",!0),re(this,"keyPanSpeed",7),re(this,"zoomToCursor",!1),re(this,"autoRotate",!1),re(this,"autoRotateSpeed",2),re(this,"reverseOrbit",!1),re(this,"reverseHorizontalOrbit",!1),re(this,"reverseVerticalOrbit",!1),re(this,"keys",{LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"}),re(this,"mouseButtons",{LEFT:yt.ROTATE,MIDDLE:yt.DOLLY,RIGHT:yt.PAN}),re(this,"touches",{ONE:At.ROTATE,TWO:At.DOLLY_PAN}),re(this,"target0"),re(this,"position0"),re(this,"zoom0"),re(this,"_domElementKeyEvents",null),re(this,"getPolarAngle"),re(this,"getAzimuthalAngle"),re(this,"setPolarAngle"),re(this,"setAzimuthalAngle"),re(this,"getDistance"),re(this,"getZoomScale"),re(this,"listenToKeyEvents"),re(this,"stopListenToKeyEvents"),re(this,"saveState"),re(this,"reset"),re(this,"update"),re(this,"connect"),re(this,"dispose"),re(this,"dollyIn"),re(this,"dollyOut"),re(this,"getScale"),re(this,"setScale"),this.object=e,this.domElement=n,this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this.getPolarAngle=()=>c.phi,this.getAzimuthalAngle=()=>c.theta,this.setPolarAngle=L=>{let Y=Ki(L,2*Math.PI),J=c.phi;J<0&&(J+=2*Math.PI),Y<0&&(Y+=2*Math.PI);let Ee=Math.abs(Y-J);2*Math.PI-Ee{let Y=Ki(L,2*Math.PI),J=c.theta;J<0&&(J+=2*Math.PI),Y<0&&(Y+=2*Math.PI);let Ee=Math.abs(Y-J);2*Math.PI-Eer.object.position.distanceTo(r.target),this.listenToKeyEvents=L=>{L.addEventListener("keydown",oe),this._domElementKeyEvents=L},this.stopListenToKeyEvents=()=>{this._domElementKeyEvents.removeEventListener("keydown",oe),this._domElementKeyEvents=null},this.saveState=()=>{r.target0.copy(r.target),r.position0.copy(r.object.position),r.zoom0=r.object.zoom},this.reset=()=>{r.target.copy(r.target0),r.object.position.copy(r.position0),r.object.zoom=r.zoom0,r.object.updateProjectionMatrix(),r.dispatchEvent(i),r.update(),l=a.NONE},this.update=(()=>{const L=new se,Y=new se(0,1,0),J=new Fn().setFromUnitVectors(e.up,Y),Ee=J.clone().invert(),Xe=new se,st=new Fn,Tn=2*Math.PI;return function(){const Ei=r.object.position;J.setFromUnitVectors(e.up,Y),Ee.copy(J).invert(),L.copy(Ei).sub(r.target),L.applyQuaternion(J),c.setFromVector3(L),r.autoRotate&&l===a.NONE&&z(E()),r.enableDamping?(c.theta+=f.theta*r.dampingFactor,c.phi+=f.phi*r.dampingFactor):(c.theta+=f.theta,c.phi+=f.phi);let ht=r.minAzimuthAngle,mt=r.maxAzimuthAngle;isFinite(ht)&&isFinite(mt)&&(ht<-Math.PI?ht+=Tn:ht>Math.PI&&(ht-=Tn),mt<-Math.PI?mt+=Tn:mt>Math.PI&&(mt-=Tn),ht<=mt?c.theta=Math.max(ht,Math.min(mt,c.theta)):c.theta=c.theta>(ht+mt)/2?Math.max(ht,c.theta):Math.min(mt,c.theta)),c.phi=Math.max(r.minPolarAngle,Math.min(r.maxPolarAngle,c.phi)),c.makeSafe(),r.enableDamping===!0?r.target.addScaledVector(d,r.dampingFactor):r.target.add(d),r.zoomToCursor&&g||r.object.isOrthographicCamera?c.radius=R(c.radius):c.radius=R(c.radius*p),L.setFromSpherical(c),L.applyQuaternion(Ee),Ei.copy(r.target).add(L),r.object.matrixAutoUpdate||r.object.updateMatrix(),r.object.lookAt(r.target),r.enableDamping===!0?(f.theta*=1-r.dampingFactor,f.phi*=1-r.dampingFactor,d.multiplyScalar(1-r.dampingFactor)):(f.set(0,0,0),d.set(0,0,0));let tn=!1;if(r.zoomToCursor&&g){let nn=null;if(r.object instanceof Et&&r.object.isPerspectiveCamera){const rn=L.length();nn=R(rn*p);const kn=rn-nn;r.object.position.addScaledVector(M,kn),r.object.updateMatrixWorld()}else if(r.object.isOrthographicCamera){const rn=new se(y.x,y.y,0);rn.unproject(r.object),r.object.zoom=Math.max(r.minZoom,Math.min(r.maxZoom,r.object.zoom/p)),r.object.updateProjectionMatrix(),tn=!0;const kn=new se(y.x,y.y,0);kn.unproject(r.object),r.object.position.sub(kn).add(rn),r.object.updateMatrixWorld(),nn=L.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),r.zoomToCursor=!1;nn!==null&&(r.screenSpacePanning?r.target.set(0,0,-1).transformDirection(r.object.matrix).multiplyScalar(nn).add(r.object.position):(Mn.origin.copy(r.object.position),Mn.direction.set(0,0,-1).transformDirection(r.object.matrix),Math.abs(r.object.up.dot(Mn.direction))u||8*(1-st.dot(r.object.quaternion))>u?(r.dispatchEvent(i),Xe.copy(r.object.position),st.copy(r.object.quaternion),tn=!1,!0):!1}})(),this.connect=L=>{r.domElement=L,r.domElement.style.touchAction="none",r.domElement.addEventListener("contextmenu",He),r.domElement.addEventListener("pointerdown",Me),r.domElement.addEventListener("pointercancel",tt),r.domElement.addEventListener("wheel",K)},this.dispose=()=>{var L,Y,J,Ee,Xe,st;r.domElement&&(r.domElement.style.touchAction="auto"),(L=r.domElement)==null||L.removeEventListener("contextmenu",He),(Y=r.domElement)==null||Y.removeEventListener("pointerdown",Me),(J=r.domElement)==null||J.removeEventListener("pointercancel",tt),(Ee=r.domElement)==null||Ee.removeEventListener("wheel",K),(Xe=r.domElement)==null||Xe.ownerDocument.removeEventListener("pointermove",Ve),(st=r.domElement)==null||st.ownerDocument.removeEventListener("pointerup",tt),r._domElementKeyEvents!==null&&r._domElementKeyEvents.removeEventListener("keydown",oe)};const r=this,i={type:"change"},o={type:"start"},s={type:"end"},a={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6};let l=a.NONE;const u=1e-6,c=new Ii,f=new Ii;let p=1;const d=new se,b=new Pe,x=new Pe,v=new Pe,T=new Pe,I=new Pe,_=new Pe,C=new Pe,P=new Pe,h=new Pe,M=new se,y=new Pe;let g=!1;const m=[],k={};function E(){return 2*Math.PI/60/60*r.autoRotateSpeed}function O(){return Math.pow(.95,r.zoomSpeed)}function z(L){r.reverseOrbit||r.reverseHorizontalOrbit?f.theta+=L:f.theta-=L}function D(L){r.reverseOrbit||r.reverseVerticalOrbit?f.phi+=L:f.phi-=L}const B=(()=>{const L=new se;return function(Y,J){L.setFromMatrixColumn(J,0),L.multiplyScalar(-Y),d.add(L)}})(),X=(()=>{const L=new se;return function(Y,J){r.screenSpacePanning===!0?L.setFromMatrixColumn(J,1):(L.setFromMatrixColumn(J,0),L.crossVectors(r.object.up,L)),L.multiplyScalar(Y),d.add(L)}})(),Z=(()=>{const L=new se;return function(Y,J){const Ee=r.domElement;if(Ee&&r.object instanceof Et&&r.object.isPerspectiveCamera){const Xe=r.object.position;L.copy(Xe).sub(r.target);let st=L.length();st*=Math.tan(r.object.fov/2*Math.PI/180),B(2*Y*st/Ee.clientHeight,r.object.matrix),X(2*J*st/Ee.clientHeight,r.object.matrix)}else Ee&&r.object instanceof 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n=this.json,r=this.options,o=n.textures[e].source,s=n.images[o];let a=this.textureLoader;if(s.uri){const l=r.manager.getHandler(s.uri);l!==null&&(a=l)}return this.loadTextureImage(e,o,a)}loadTextureImage(e,n,r){const i=this,o=this.json,s=o.textures[e],a=o.images[n],l=(a.uri||a.bufferView)+":"+s.sampler;if(this.textureCache[l])return this.textureCache[l];const u=this.loadImageSource(n,r).then(function(c){c.flipY=!1,c.name=s.name||a.name||"",c.name===""&&typeof a.uri=="string"&&a.uri.startsWith("data:image/")===!1&&(c.name=a.uri);const p=(o.samplers||{})[s.sampler]||{};return c.magFilter=fo[p.magFilter]||Bn,c.minFilter=fo[p.minFilter]||oi,c.wrapS=po[p.wrapS]||Un,c.wrapT=po[p.wrapT]||Un,c.generateMipmaps=!c.isCompressedTexture&&c.minFilter!==Lt&&c.minFilter!==Bn,i.associations.set(c,{textures:e}),c}).catch(function(){return null});return this.textureCache[l]=u,u}loadImageSource(e,n){const r=this,i=this.json,o=this.options;if(this.sourceCache[e]!==void 0)return this.sourceCache[e].then(f=>f.clone());const s=i.images[e],a=self.URL||self.webkitURL;let l=s.uri||"",u=!1;if(s.bufferView!==void 0)l=r.getDependency("bufferView",s.bufferView).then(function(f){u=!0;const p=new Blob([f],{type:s.mimeType});return l=a.createObjectURL(p),l});else if(s.uri===void 0)throw new Error("THREE.GLTFLoader: Image "+e+" is missing URI and bufferView");const c=Promise.resolve(l).then(function(f){return new Promise(function(p,d){let b=p;n.isImageBitmapLoader===!0&&(b=function(x){const v=new zn(x);v.needsUpdate=!0,p(v)}),n.load(cn.resolveURL(f,o.path),b,void 0,d)})}).then(function(f){return u===!0&&a.revokeObjectURL(l),gt(f,s),f.userData.mimeType=s.mimeType||Lf(s.uri),f}).catch(function(f){throw console.error("THREE.GLTFLoader: Couldn't load texture",l),f});return this.sourceCache[e]=c,c}assignTexture(e,n,r,i){const o=this;return this.getDependency("texture",r.index).then(function(s){if(!s)return null;if(r.texCoord!==void 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+import"./live2d-zip-loader-C5j9stxV.js";import{d as S,r as A,x as y,o as r,y as D,a as e,c as g,C as h,p as P,D as k,z as R,bn as L,bE as N,g as l,i as V,v as q,h as F,bw as O,A as x,e as m,bx as $,by as j,n as G,bv as H}from"./index-Dlp4W1Zl.js";import{_ as J}from"./IconAnimation.vue_vue_type_script_setup_true_lang-D7WFDasI.js";import{b as I}from"./route-block-B_A1xBdJ.js";const K={"z-1":"","flex-1":""},M={"text-lg":"","font-bold":"",class:"menu-icon-item-title",transition:"all ease-in-out duration-400"},Q={text:"sm neutral-500 dark:neutral-400",class:"menu-icon-item-description",transition:"all ease-in-out duration-400"},U=S({__name:"IconItem",props:{title:null,description:null,icon:null,iconTemplate:{type:Boolean},to:null},setup(i){return(c,v)=>{const f=A("RouterLink");return r(),y(f,{box:"border",flex:"~ row",bg:"neutral-50 dark:neutral-800",border:"neutral-100 dark:neutral-700 hover:primary-500/30 dark:hover:primary-400/30 solid 2","drop-shadow":"none 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dark:neutral-600/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},nt={text:"60","i-lucide:cog":""},it=S({__name:"index",setup(i){const c=N(),v=l(!1),f=l(),d=l(),{t:n}=V(),b=l(""),w=l(""),C=l(!1),u=q();function T(){var o;(o=d.value)==null||o.call(d)}async function z(o,s){const t=o.currentTarget.querySelector(".menu-icon-item-icon");if(!t)return;const p=t.getBoundingClientRect(),_=`${p.left}px, ${p.top}px`;b.value=s.icon,w.value=_,C.value=!0,await H(),v.value=!0}const B=c.beforeEach(async(o,s,a)=>{if(!u.usePageSpecificTransitions||u.disableTransitions){a();return}await new Promise(t=>{d.value=t}),B(),a()}),E=F(()=>[{title:n("settings.pages.modules.title"),description:n("settings.pages.modules.description"),icon:"i-lucide:blocks",to:"/settings/modules"},{title:n("settings.pages.models.title"),description:n("settings.pages.models.description"),icon:"i-lucide:person-standing",to:"/settings/models"},{title:n("settings.pages.memory.title"),description:n("settings.pages.memory.description"),icon:"i-lucide:sprout",to:"/settings/memory"},{title:n("settings.pages.providers.title"),description:n("settings.pages.providers.description"),icon:"i-lucide:brain",to:"/settings/providers"},{title:n("settings.pages.themes.title"),description:n("settings.pages.themes.description"),icon:"i-lucide:paintbrush",to:"/settings/appearance"}]);return(o,s)=>{const a=O("motion");return r(),g($,null,[x((r(),g("div",X,[e("button",{onClick:s[0]||(s[0]=t=>m(c).back())},s[1]||(s[1]=[e("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),e("h1",Y,k(o.$t("settings.title")),1)])),[[a]]),e("div",Z,[e("div",tt,[(r(!0),g($,null,j(E.value,(t,p)=>x((r(),y(m(W),{key:t.to,initial:{opacity:0,y:10},enter:{opacity:1,y:0},duration:250,style:G({transitionDelay:`${p*50}ms`}),title:t.title,description:t.description,icon:t.icon,to:t.to,onClick:_=>z(_,t)},null,8,["style","title","description","icon","to","onClick"])),[[a]])),128))]),e("div",et,[x(e("div",nt,null,512),[[a]])]),C.value&&!m(u).disableTransitions&&m(u).usePageSpecificTransitions?(r(),y(J,{key:0,ref_key:"iconAnimation",ref:f,icon:b.value,"icon-size":6*1.2,position:w.value,duration:1e3,"text-color":"text-neutral-400/50 dark:text-neutral-600/20",started:v.value,onAnimationEndedOnce:T},null,8,["icon","position","started"])):h("",!0)])],64)}}});typeof I=="function"&&I(it);export{it as default}; diff --git a/assets/index-0_JGTbws.js b/assets/index-YJa3XIzO.js similarity index 99% rename from assets/index-0_JGTbws.js rename to assets/index-YJa3XIzO.js index b991292fb4f95e1281d351aaa4614479240dbf9e..86840f52acbffc7bcf8bc41895c3f65cc135e802 100644 --- a/assets/index-0_JGTbws.js +++ b/assets/index-YJa3XIzO.js @@ -1,4 +1,4 @@ -import{cr as getAugmentedNamespace}from"./index-rD0Uu1v9.js";var dist={},ortWeb_min={exports:{}};const backends={},backendsSortedByPriority=[],registerBackend=(D,u,b)=>{if(u&&typeof u.init=="function"&&typeof u.createSessionHandler=="function"){const g=backends[D];if(g===void 0)backends[D]={backend:u,priority:b};else{if(g.priority>b)return;if(g.priority===b&&g.backend!==u)throw new Error(`cannot register backend "${D}" using priority ${b}`)}if(b>=0){const p=backendsSortedByPriority.indexOf(D);p!==-1&&backendsSortedByPriority.splice(p,1);for(let h=0;h{const u=D.length===0?backendsSortedByPriority:D,b=[];for(const g of u){const p=backends[g];if(p){if(p.initialized)return p.backend;if(p.aborted)continue;const h=!!p.initPromise;try{return h||(p.initPromise=p.backend.init()),await p.initPromise,p.initialized=!0,p.backend}catch(o){h||b.push({name:g,err:o}),p.aborted=!0}finally{delete p.initPromise}}}throw new Error(`no available backend found. ERR: ${b.map(g=>`[${g.name}] ${g.err}`).join(", ")}`)};class EnvImpl{constructor(){this.wasm={},this.webgl={},this.logLevelInternal="warning"}set logLevel(u){if(u!==void 0){if(typeof u!="string"||["verbose","info","warning","error","fatal"].indexOf(u)===-1)throw new Error(`Unsupported logging level: ${u}`);this.logLevelInternal=u}}get logLevel(){return this.logLevelInternal}}const env=new EnvImpl,isBigInt64ArrayAvailable=typeof BigInt64Array<"u"&&typeof BigInt64Array.from=="function",isBigUint64ArrayAvailable=typeof BigUint64Array<"u"&&typeof BigUint64Array.from=="function",NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP=new Map([["float32",Float32Array],["uint8",Uint8Array],["int8",Int8Array],["uint16",Uint16Array],["int16",Int16Array],["int32",Int32Array],["bool",Uint8Array],["float64",Float64Array],["uint32",Uint32Array]]),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP=new Map([[Float32Array,"float32"],[Uint8Array,"uint8"],[Int8Array,"int8"],[Uint16Array,"uint16"],[Int16Array,"int16"],[Int32Array,"int32"],[Float64Array,"float64"],[Uint32Array,"uint32"]]);isBigInt64ArrayAvailable&&(NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("int64",BigInt64Array),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array,"int64"));isBigUint64ArrayAvailable&&(NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("uint64",BigUint64Array),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array,"uint64"));const calculateSize=D=>{let u=1;for(let b=0;b{const t=document.createElement("canvas"),e=t.getContext("2d");if(!u||!e)return i();const n=new Image;n.crossOrigin="Anonymous",n.src=u,n.onload=()=>{t.width=n.width,t.height=n.height,e.drawImage(n,0,0,t.width,t.height);const r=e.getImageData(0,0,t.width,t.height);if(b!==void 0){if(b.height!==void 0&&b.height!==t.height)throw new Error("Image input config height doesn't match ImageBitmap height");if(f.height=t.height,b.width!==void 0&&b.width!==t.width)throw new Error("Image input config width doesn't match ImageBitmap width");f.width=t.width}else f.height=t.height,f.width=t.width;s(at.bufferToTensor(r.data,f))}});throw new Error("Input data provided is not supported - 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n=r.type;return new Pu((t||[])[0],n.keysSorted)}}throw new Error(`Unrecognized type: "${e}"`)}var U2=kb,k2=Mo;class fr{static fromJSON(t,e){const n=new fr(0,je.V5,e);return n._createHeader=z2(t,e),n}static decode(t){t=new k2(ce(t));const e=bi.getRootAsMessage(t),n=e.bodyLength(),i=e.version(),s=e.headerType(),o=new fr(n,i,s);return o._createHeader=V2(e,s),o}static encode(t){const e=new U2;let n=-1;return t.isSchema()?n=Le.encode(e,t.header()):t.isRecordBatch()?n=Br.encode(e,t.header()):t.isDictionaryBatch()&&(n=Vn.encode(e,t.header())),bi.startMessage(e),bi.addVersion(e,je.V5),bi.addHeader(e,n),bi.addHeaderType(e,t.headerType),bi.addBodyLength(e,BigInt(t.bodyLength)),bi.finishMessageBuffer(e,bi.endMessage(e)),e.asUint8Array()}static from(t,e=0){if(t instanceof Le)return new fr(0,je.V5,me.Schema,t);if(t instanceof Br)return new fr(e,je.V5,me.RecordBatch,t);if(t instanceof Vn)return new fr(e,je.V5,me.DictionaryBatch,t);throw new Error(`Unrecognized Message header: ${t}`)}get type(){return this.headerType}get version(){return this._version}get headerType(){return this._headerType}get bodyLength(){return this._bodyLength}header(){return this._createHeader()}isSchema(){return this.headerType===me.Schema}isRecordBatch(){return this.headerType===me.RecordBatch}isDictionaryBatch(){return this.headerType===me.DictionaryBatch}constructor(t,e,n,i){this._version=e,this._headerType=n,this.body=new Uint8Array(0),i&&(this._createHeader=()=>i),this._bodyLength=Te(t)}}class Br{get nodes(){return this._nodes}get length(){return this._length}get buffers(){return this._buffers}constructor(t,e,n){this._nodes=e,this._buffers=n,this._length=Te(t)}}class Vn{get id(){return this._id}get data(){return this._data}get isDelta(){return this._isDelta}get length(){return this.data.length}get nodes(){return this.data.nodes}get buffers(){return this.data.buffers}constructor(t,e,n=!1){this._data=t,this._isDelta=n,this._id=Te(e)}}class Ln{constructor(t,e){this.offset=Te(t),this.length=Te(e)}}class Ni{constructor(t,e){this.length=Te(t),this.nullCount=Te(e)}}function z2(r,t){return()=>{switch(t){case me.Schema:return Le.fromJSON(r);case me.RecordBatch:return Br.fromJSON(r);case me.DictionaryBatch:return Vn.fromJSON(r)}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}function V2(r,t){return()=>{switch(t){case me.Schema:return Le.decode(r.header(new In),new Map,r.version());case me.RecordBatch:return Br.decode(r.header(new ri),r.version());case me.DictionaryBatch:return Vn.decode(r.header(new Zs),r.version())}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}Pe.encode=K2;Pe.decode=Q2;Pe.fromJSON=B2;Le.encode=Z2;Le.decode=j2;Le.fromJSON=F2;Br.encode=J2;Br.decode=$2;Br.fromJSON=Sx;Vn.encode=tD;Vn.decode=G2;Vn.fromJSON=D2;Ni.encode=eD;Ni.decode=H2;Ln.encode=rD;Ln.decode=W2;function j2(r,t=new Map,e=je.V5){const n=q2(r,t);return new Le(n,ql(r),t,e)}function $2(r,t=je.V5){if(r.compression()!==null)throw new Error("Record batch compression not implemented");return new Br(r.length(),X2(r),Y2(r,t))}function G2(r,t=je.V5){return new Vn(Br.decode(r.data(),t),r.id(),r.isDelta())}function W2(r){return new Ln(r.offset(),r.length())}function H2(r){return new Ni(r.length(),r.nullCount())}function X2(r){const t=[];for(let e,n=-1,i=-1,s=r.nodesLength();++nPe.encode(r,s));In.startFieldsVector(r,e.length);const n=In.createFieldsVector(r,e),i=t.metadata&&t.metadata.size>0?In.createCustomMetadataVector(r,[...t.metadata].map(([s,o])=>{const a=r.createString(`${s}`),l=r.createString(`${o}`);return qe.startKeyValue(r),qe.addKey(r,a),qe.addValue(r,l),qe.endKeyValue(r)})):-1;return In.startSchema(r),In.addFields(r,n),In.addEndianness(r,nD?Co.Little:Co.Big),i!==-1&&In.addCustomMetadata(r,i),In.endSchema(r)}function K2(r,t){let e=-1,n=-1,i=-1;const s=t.type;let o=t.typeId;Ot.isDictionary(s)?(o=s.dictionary.typeId,i=Rh.visit(s,r),n=Rh.visit(s.dictionary,r)):n=Rh.visit(s,r);const a=(s.children||[]).map(c=>Pe.encode(r,c)),l=Wr.createChildrenVector(r,a),u=t.metadata&&t.metadata.size>0?Wr.createCustomMetadataVector(r,[...t.metadata].map(([c,h])=>{const f=r.createString(`${c}`),d=r.createString(`${h}`);return qe.startKeyValue(r),qe.addKey(r,f),qe.addValue(r,d),qe.endKeyValue(r)})):-1;return t.name&&(e=r.createString(t.name)),Wr.startField(r),Wr.addType(r,n),Wr.addTypeType(r,o),Wr.addChildren(r,l),Wr.addNullable(r,!!t.nullable),e!==-1&&Wr.addName(r,e),i!==-1&&Wr.addDictionary(r,i),u!==-1&&Wr.addCustomMetadata(r,u),Wr.endField(r)}function J2(r,t){const e=t.nodes||[],n=t.buffers||[];ri.startNodesVector(r,e.length);for(const o of e.slice().reverse())Ni.encode(r,o);const i=r.endVector();ri.startBuffersVector(r,n.length);for(const o of n.slice().reverse())Ln.encode(r,o);const s=r.endVector();return ri.startRecordBatch(r),ri.addLength(r,BigInt(t.length)),ri.addNodes(r,i),ri.addBuffers(r,s),ri.endRecordBatch(r)}function tD(r,t){const e=Br.encode(r,t.data);return Zs.startDictionaryBatch(r),Zs.addId(r,BigInt(t.id)),Zs.addIsDelta(r,t.isDelta),Zs.addData(r,e),Zs.endDictionaryBatch(r)}function eD(r,t){return jb.createFieldNode(r,BigInt(t.length),BigInt(t.nullCount))}function rD(r,t){return Vb.createBuffer(r,BigInt(t.offset),BigInt(t.length))}const nD=(()=>{const r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256})(),fp=r=>`Expected ${me[r]} Message in stream, but was null or length 0.`,pp=r=>`Header pointer of flatbuffer-encoded ${me[r]} Message is null or length 0.`,Ex=(r,t)=>`Expected to read ${r} metadata bytes, but only read ${t}.`,Ax=(r,t)=>`Expected to read ${r} bytes for message body, but only read ${t}.`;class Mx{constructor(t){this.source=t instanceof Nu?t:new Nu(t)}[Symbol.iterator](){return this}next(){let t;return(t=this.readMetadataLength()).done||t.value===-1&&(t=this.readMetadataLength()).done||(t=this.readMetadata(t.value)).done?Be:t}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readMessageBody(t){if(t<=0)return new Uint8Array(0);const e=ce(this.source.read(t));if(e.byteLength[...i,...s.VALIDITY&&[s.VALIDITY]||[],...s.TYPE_ID&&[s.TYPE_ID]||[],...s.OFFSET&&[s.OFFSET]||[],...s.DATA&&[s.DATA]||[],...e(s.children)],[])}}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readSchema(){const t=me.Schema,e=this.readMessage(t),n=e==null?void 0:e.header();if(!e||!n)throw new Error(pp(t));return n}}const uc=4,sf="ARROW1",ja=new Uint8Array(sf.length);for(let r=0;rthis):this}readRecordBatch(t){return this._impl.isFile()?this._impl.readRecordBatch(t):null}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}toDOMStream(){return Yr.toDOMStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this})}toNodeStream(){return Yr.toNodeStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this},{objectMode:!0})}static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}static from(t){return t instanceof tn?t:Hd(t)?cD(t):Fb(t)?fD(t):Is(t)?Jt(this,void 0,void 0,function*(){return yield tn.from(yield t)}):Db(t)||Zf(t)||Lb(t)||Uo(t)?dD(new Po(t)):hD(new Nu(t))}static readAll(t){return t instanceof tn?t.isSync()?Sy(t):Ty(t):Hd(t)||ArrayBuffer.isView(t)||Qa(t)||Rb(t)?Sy(t):Ty(t)}}class Uu extends tn{constructor(t){super(t),this._impl=t}readAll(){return[...this]}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return br(this,arguments,function*(){yield Rt(yield*Ss(Bn(this[Symbol.iterator]())))})}}class ku extends tn{constructor(t){super(t),this._impl=t}readAll(){return Jt(this,void 0,void 0,function*(){var t,e,n,i;const s=new Array;try{for(var o=!0,a=Bn(this),l;l=yield a.next(),t=l.done,!t;o=!0){i=l.value,o=!1;const u=i;s.push(u)}}catch(u){e={error:u}}finally{try{!o&&!t&&(n=a.return)&&(yield n.call(a))}finally{if(e)throw e.error}}return s})}[Symbol.iterator](){throw new Error("AsyncRecordBatchStreamReader is not Iterable")}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}}class Ox extends Uu{constructor(t){super(t),this._impl=t}}class aD extends ku{constructor(t){super(t),this._impl=t}}class Px{get numDictionaries(){return this._dictionaryIndex}get numRecordBatches(){return this._recordBatchIndex}constructor(t=new Map){this.closed=!1,this.autoDestroy=!0,this._dictionaryIndex=0,this._recordBatchIndex=0,this.dictionaries=t}isSync(){return!1}isAsync(){return!1}isFile(){return!1}isStream(){return!1}reset(t){return this._dictionaryIndex=0,this._recordBatchIndex=0,this.schema=t,this.dictionaries=new Map,this}_loadRecordBatch(t,e){const n=this._loadVectors(t,e,this.schema.fields),i=le({type:new dr(this.schema.fields),length:t.length,children:n});return new _r(this.schema,i)}_loadDictionaryBatch(t,e){const{id:n,isDelta:i}=t,{dictionaries:s,schema:o}=this,a=s.get(n),l=o.dictionaries.get(n),u=this._loadVectors(t.data,e,[l]);return(a&&i?a.concat(new Ne(u)):new Ne(u)).memoize()}_loadVectors(t,e,n){return new _x(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}class zu extends Px{constructor(t,e){super(e),this._reader=Hd(t)?new sD(this._handle=t):new Mx(this._handle=t)}isSync(){return!0}isStream(){return!0}[Symbol.iterator](){return this}cancel(){!this.closed&&(this.closed=!0)&&(this.reset()._reader.return(),this._reader=null,this.dictionaries=null)}open(t){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=this._reader.readSchema())||this.cancel()),this}throw(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.throw(t):Be}return(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.return(t):Be}next(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=this._readNextMessageAndValidate();)if(t.isSchema())this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):this.return()}_readNextMessageAndValidate(t){return this._reader.readMessage(t)}}class Vu extends Px{constructor(t,e){super(e),this._reader=new iD(this._handle=t)}isAsync(){return!0}isStream(){return!0}[Symbol.asyncIterator](){return this}cancel(){return Jt(this,void 0,void 0,function*(){!this.closed&&(this.closed=!0)&&(yield this.reset()._reader.return(),this._reader=null,this.dictionaries=null)})}open(t){return Jt(this,void 0,void 0,function*(){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=yield this._reader.readSchema())||(yield this.cancel())),this})}throw(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.throw(t):Be})}return(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.return(t):Be})}next(){return Jt(this,void 0,void 0,function*(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=yield this._readNextMessageAndValidate();)if(t.isSchema())yield this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):yield this.return()})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){return yield this._reader.readMessage(t)})}}class Rx extends zu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,e){super(t instanceof my?t:new my(t),e)}isSync(){return!0}isFile(){return!0}open(t){if(!this.closed&&!this._footer){this.schema=(this._footer=this._readFooter()).schema;for(const e of this._footer.dictionaryBatches())e&&this._readDictionaryBatch(this._dictionaryIndex++)}return super.open(t)}readRecordBatch(t){var e;if(this.closed)return null;this._footer||this.open();const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null}_readDictionaryBatch(t){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}}_readFooter(){const{_handle:t}=this,e=t.size-Cx,n=t.readInt32(e),i=t.readAt(e-n,n);return Va.decode(i)}_readNextMessageAndValidate(t){var e;if(this._footer||this.open(),this._footer&&this._recordBatchIndexsuper.open}});return Jt(this,void 0,void 0,function*(){if(!this.closed&&!this._footer){this.schema=(this._footer=yield this._readFooter()).schema;for(const n of this._footer.dictionaryBatches())n&&(yield this._readDictionaryBatch(this._dictionaryIndex++))}return yield e.open.call(this,t)})}readRecordBatch(t){return Jt(this,void 0,void 0,function*(){var e;if(this.closed)return null;this._footer||(yield this.open());const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null})}_readDictionaryBatch(t){return Jt(this,void 0,void 0,function*(){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}})}_readFooter(){return Jt(this,void 0,void 0,function*(){const{_handle:t}=this;t._pending&&(yield t._pending);const e=t.size-Cx,n=yield t.readInt32(e),i=yield t.readAt(e-n,n);return Va.decode(i)})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){if(this._footer||(yield this.open()),this._footer&&this._recordBatchIndex=4?mp(t)?new Ox(new Rx(r.read())):new Uu(new zu(r)):new Uu(new zu(function*(){}()))}function dD(r){return Jt(this,void 0,void 0,function*(){const t=yield r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(yield r.read())):new ku(new Vu(r)):new ku(new Vu(function(){return br(this,arguments,function*(){})}()))})}function fD(r){return Jt(this,void 0,void 0,function*(){const{size:t}=yield r.stat(),e=new Bu(r,t);return t>=oD&&mp(yield e.readAt(0,tl+7&-8))?new aD(new lD(e)):new ku(new Vu(e))})}class ke extends se{static assemble(...t){const e=i=>i.flatMap(s=>Array.isArray(s)?e(s):s instanceof _r?s.data.children:s.data),n=new ke;return n.visitMany(e(t)),n}constructor(){super(),this._byteLength=0,this._nodes=[],this._buffers=[],this._bufferRegions=[]}visit(t){if(t instanceof Ne)return this.visitMany(t.data),this;const{type:e}=t;if(!Ot.isDictionary(e)){const{length:n}=t;if(n>2147483647)throw new RangeError("Cannot write arrays larger than 2^31 - 1 in length");if(Ot.isUnion(e))this.nodes.push(new Ni(n,0));else{const{nullCount:i}=t;Ot.isNull(e)||dn.call(this,i<=0?new Uint8Array(0):Ru(t.offset,n,t.nullBitmap)),this.nodes.push(new Ni(n,i))}}return super.visit(t)}visitNull(t){return this}visitDictionary(t){return this.visit(t.clone(t.type.indices))}get nodes(){return this._nodes}get buffers(){return this._buffers}get byteLength(){return this._byteLength}get bufferRegions(){return this._bufferRegions}}function dn(r){const t=r.byteLength+7&-8;return this.buffers.push(r),this.bufferRegions.push(new Ln(this._byteLength,t)),this._byteLength+=t,this}function pD(r){var t;const{type:e,length:n,typeIds:i,valueOffsets:s}=r;if(dn.call(this,i),e.mode===lr.Sparse)return of.call(this,r);if(e.mode===lr.Dense){if(r.offset<=0)return dn.call(this,s),of.call(this,r);{const o=new Int32Array(n),a=Object.create(null),l=Object.create(null);for(let u,c,h=-1;++h{const h=e.typeIds[c],f=a[h],d=l[h];return u.slice(f,Math.min(n,d))}))}}return this}function mD(r){let t;return r.nullCount>=r.length?dn.call(this,new Uint8Array(0)):(t=r.values)instanceof Uint8Array?dn.call(this,Ru(r.offset,r.length,t)):dn.call(this,Fu(r.values))}function fi(r){return dn.call(this,r.values.subarray(0,r.length*r.stride))}function cc(r){const{length:t,values:e,valueOffsets:n}=r,i=Te(n[0]),s=Te(n[t]),o=Math.min(s-i,e.byteLength-i);return dn.call(this,Bb(-i,t+1,n)),dn.call(this,e.subarray(i,i+o)),this}function gp(r){const{length:t,valueOffsets:e}=r;if(e){const{[0]:n,[t]:i}=e;return dn.call(this,Bb(-n,t+1,e)),this.visit(r.children[0].slice(n,i-n))}return this.visit(r.children[0])}function of(r){return this.visitMany(r.type.children.map((t,e)=>r.children[e]).filter(Boolean))[0]}ke.prototype.visitBool=mD;ke.prototype.visitInt=fi;ke.prototype.visitFloat=fi;ke.prototype.visitUtf8=cc;ke.prototype.visitLargeUtf8=cc;ke.prototype.visitBinary=cc;ke.prototype.visitLargeBinary=cc;ke.prototype.visitFixedSizeBinary=fi;ke.prototype.visitDate=fi;ke.prototype.visitTimestamp=fi;ke.prototype.visitTime=fi;ke.prototype.visitDecimal=fi;ke.prototype.visitList=gp;ke.prototype.visitStruct=of;ke.prototype.visitUnion=pD;ke.prototype.visitInterval=fi;ke.prototype.visitDuration=fi;ke.prototype.visitFixedSizeList=gp;ke.prototype.visitMap=gp;class Dx extends ap{static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}constructor(t){super(),this._position=0,this._started=!1,this._sink=new Xl,this._schema=null,this._dictionaryBlocks=[],this._recordBatchBlocks=[],this._seenDictionaries=new 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console.assert(n.isAsync()),console.assert(n.isStream()),n}},LD=(r=>(r.CANCEL_PENDING_QUERY="CANCEL_PENDING_QUERY",r.CLOSE_PREPARED="CLOSE_PREPARED",r.COLLECT_FILE_STATISTICS="COLLECT_FILE_STATISTICS",r.REGISTER_OPFS_FILE_NAME="REGISTER_OPFS_FILE_NAME",r.CONNECT="CONNECT",r.COPY_FILE_TO_BUFFER="COPY_FILE_TO_BUFFER",r.COPY_FILE_TO_PATH="COPY_FILE_TO_PATH",r.CREATE_PREPARED="CREATE_PREPARED",r.DISCONNECT="DISCONNECT",r.DROP_FILE="DROP_FILE",r.DROP_FILES="DROP_FILES",r.EXPORT_FILE_STATISTICS="EXPORT_FILE_STATISTICS",r.FETCH_QUERY_RESULTS="FETCH_QUERY_RESULTS",r.FLUSH_FILES="FLUSH_FILES",r.GET_FEATURE_FLAGS="GET_FEATURE_FLAGS",r.GET_TABLE_NAMES="GET_TABLE_NAMES",r.GET_VERSION="GET_VERSION",r.GLOB_FILE_INFOS="GLOB_FILE_INFOS",r.INSERT_ARROW_FROM_IPC_STREAM="INSERT_ARROW_FROM_IPC_STREAM",r.INSERT_CSV_FROM_PATH="IMPORT_CSV_FROM_PATH",r.INSERT_JSON_FROM_PATH="IMPORT_JSON_FROM_PATH",r.INSTANTIATE="INSTANTIATE",r.OPEN="OPEN",r.PING="PING",r.POLL_PENDING_QUERY="POLL_PENDING_QUERY",r.REGISTER_FILE_BUFFER="REGISTER_FILE_BUFFER",r.REGISTER_FILE_HANDLE="REGISTER_FILE_HANDLE",r.REGISTER_FILE_URL="REGISTER_FILE_URL",r.RESET="RESET",r.RUN_PREPARED="RUN_PREPARED",r.RUN_QUERY="RUN_QUERY",r.SEND_PREPARED="SEND_PREPARED",r.START_PENDING_QUERY="START_PENDING_QUERY",r.TOKENIZE="TOKENIZE",r))(LD||{}),ND=(r=>(r.CONNECTION_INFO="CONNECTION_INFO",r.ERROR="ERROR",r.FEATURE_FLAGS="FEATURE_FLAGS",r.FILE_BUFFER="FILE_BUFFER",r.FILE_INFOS="FILE_INFOS",r.FILE_SIZE="FILE_SIZE",r.FILE_STATISTICS="FILE_STATISTICS",r.INSTANTIATE_PROGRESS="INSTANTIATE_PROGRESS",r.LOG="LOG",r.OK="OK",r.PREPARED_STATEMENT_ID="PREPARED_STATEMENT_ID",r.QUERY_PLAN="QUERY_PLAN",r.QUERY_RESULT="QUERY_RESULT",r.QUERY_RESULT_CHUNK="QUERY_RESULT_CHUNK",r.QUERY_RESULT_HEADER="QUERY_RESULT_HEADER",r.QUERY_RESULT_HEADER_OR_NULL="QUERY_RESULT_HEADER_OR_NULL",r.REGISTERED_FILE="REGISTERED_FILE",r.SCRIPT_TOKENS="SCRIPT_TOKENS",r.SUCCESS="SUCCESS",r.TABLE_NAMES="TABLE_NAMES",r.VERSION_STRING="VERSION_STRING",r))(ND||{}),de=class{constructor(r,t){this.promiseResolver=()=>{},this.promiseRejecter=()=>{},this.type=r,this.data=t,this.promise=new 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ba(e,i)}};wx=Symbol.toStringTag;_r[wx]=(r=>(r._nullCount=-1,r[Symbol.isConcatSpreadable]=!0,"RecordBatch"))(_r.prototype);function gy(r,t,e=t.reduce((n,i)=>Math.max(n,i.length),0)){var n;const i=[...r.fields],s=[...t],o=(e+63&-64)>>3;for(const[a,l]of r.fields.entries()){const u=t[a];(!u||u.length!==e)&&(i[a]=l.clone({nullable:!0}),s[a]=(n=u==null?void 0:u._changeLengthAndBackfillNullBitmap(e))!==null&&n!==void 0?n:le({type:l.type,length:e,nullCount:e,nullBitmap:new Uint8Array(o)}))}return[r.assign(i),le({type:new dr(i),length:e,children:s})]}function xx(r,t,e=new Map){var n,i;if(((n=r==null?void 0:r.length)!==null&&n!==void 0?n:0)>0&&(r==null?void 0:r.length)===(t==null?void 0:t.length))for(let s=-1,o=r.length;++sle({type:i.type})),n=le({type:new dr(t.fields),nullCount:0,children:e});super(t,n)}}let bi=class Sn{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsMessage(t,e){return(e||new 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addHeaderType(t,e){t.addFieldInt8(1,e,me.NONE)}static addHeader(t,e){t.addFieldOffset(2,e,0)}static addBodyLength(t,e){t.addFieldInt64(3,e,BigInt("0"))}static addCustomMetadata(t,e){t.addFieldOffset(4,e,0)}static createCustomMetadataVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startCustomMetadataVector(t,e){t.startVector(4,e,4)}static endMessage(t){return t.endObject()}static finishMessageBuffer(t,e){t.finish(e)}static finishSizePrefixedMessageBuffer(t,e){t.finish(e,void 0,!0)}static createMessage(t,e,n,i,s,o){return Sn.startMessage(t),Sn.addVersion(t,e),Sn.addHeaderType(t,n),Sn.addHeader(t,i),Sn.addBodyLength(t,s),Sn.addCustomMetadata(t,o),Sn.endMessage(t)}};class R2 extends se{visit(t,e){return t==null||e==null?void 0:super.visit(t,e)}visitNull(t,e){return oy.startNull(e),oy.endNull(e)}visitInt(t,e){return Cr.startInt(e),Cr.addBitWidth(e,t.bitWidth),Cr.addIsSigned(e,t.isSigned),Cr.endInt(e)}visitFloat(t,e){return Rn.startFloatingPoint(e),Rn.addPrecision(e,t.precision),Rn.endFloatingPoint(e)}visitBinary(t,e){return ey.startBinary(e),ey.endBinary(e)}visitLargeBinary(t,e){return ny.startLargeBinary(e),ny.endLargeBinary(e)}visitBool(t,e){return ry.startBool(e),ry.endBool(e)}visitUtf8(t,e){return ay.startUtf8(e),ay.endUtf8(e)}visitLargeUtf8(t,e){return iy.startLargeUtf8(e),iy.endLargeUtf8(e)}visitDecimal(t,e){return Js.startDecimal(e),Js.addScale(e,t.scale),Js.addPrecision(e,t.precision),Js.addBitWidth(e,t.bitWidth),Js.endDecimal(e)}visitDate(t,e){return Vl.startDate(e),Vl.addUnit(e,t.unit),Vl.endDate(e)}visitTime(t,e){return Zr.startTime(e),Zr.addUnit(e,t.unit),Zr.addBitWidth(e,t.bitWidth),Zr.endTime(e)}visitTimestamp(t,e){const n=t.timezone&&e.createString(t.timezone)||void 0;return Kr.startTimestamp(e),Kr.addUnit(e,t.unit),n!==void 0&&Kr.addTimezone(e,n),Kr.endTimestamp(e)}visitInterval(t,e){return Fn.startInterval(e),Fn.addUnit(e,t.unit),Fn.endInterval(e)}visitDuration(t,e){return jl.startDuration(e),jl.addUnit(e,t.unit),jl.endDuration(e)}visitList(t,e){return sy.startList(e),sy.endList(e)}visitStruct(t,e){return ys.startStruct_(e),ys.endStruct_(e)}visitUnion(t,e){vr.startTypeIdsVector(e,t.typeIds.length);const n=vr.createTypeIdsVector(e,t.typeIds);return vr.startUnion(e),vr.addMode(e,t.mode),vr.addTypeIds(e,n),vr.endUnion(e)}visitDictionary(t,e){const n=this.visit(t.indices,e);return ai.startDictionaryEncoding(e),ai.addId(e,BigInt(t.id)),ai.addIsOrdered(e,t.isOrdered),n!==void 0&&ai.addIndexType(e,n),ai.endDictionaryEncoding(e)}visitFixedSizeBinary(t,e){return $l.startFixedSizeBinary(e),$l.addByteWidth(e,t.byteWidth),$l.endFixedSizeBinary(e)}visitFixedSizeList(t,e){return Gl.startFixedSizeList(e),Gl.addListSize(e,t.listSize),Gl.endFixedSizeList(e)}visitMap(t,e){return Wl.startMap(e),Wl.addKeysSorted(e,t.keysSorted),Wl.endMap(e)}}const Rh=new R2;function F2(r,t=new Map){return new Le(L2(r,t),Yl(r.metadata),t)}function Sx(r){return new 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new fr(e,je.V5,me.DictionaryBatch,t);throw new Error(`Unrecognized Message header: ${t}`)}get type(){return this.headerType}get version(){return this._version}get headerType(){return this._headerType}get bodyLength(){return this._bodyLength}header(){return this._createHeader()}isSchema(){return this.headerType===me.Schema}isRecordBatch(){return this.headerType===me.RecordBatch}isDictionaryBatch(){return this.headerType===me.DictionaryBatch}constructor(t,e,n,i){this._version=e,this._headerType=n,this.body=new Uint8Array(0),i&&(this._createHeader=()=>i),this._bodyLength=Te(t)}}class Br{get nodes(){return this._nodes}get length(){return this._length}get buffers(){return this._buffers}constructor(t,e,n){this._nodes=e,this._buffers=n,this._length=Te(t)}}class Vn{get id(){return this._id}get data(){return this._data}get isDelta(){return this._isDelta}get length(){return this.data.length}get nodes(){return this.data.nodes}get buffers(){return this.data.buffers}constructor(t,e,n=!1){this._data=t,this._isDelta=n,this._id=Te(e)}}class Ln{constructor(t,e){this.offset=Te(t),this.length=Te(e)}}class Ni{constructor(t,e){this.length=Te(t),this.nullCount=Te(e)}}function z2(r,t){return()=>{switch(t){case me.Schema:return Le.fromJSON(r);case me.RecordBatch:return Br.fromJSON(r);case me.DictionaryBatch:return Vn.fromJSON(r)}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}function V2(r,t){return()=>{switch(t){case me.Schema:return Le.decode(r.header(new In),new Map,r.version());case me.RecordBatch:return Br.decode(r.header(new ri),r.version());case me.DictionaryBatch:return Vn.decode(r.header(new Zs),r.version())}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}Pe.encode=K2;Pe.decode=Q2;Pe.fromJSON=B2;Le.encode=Z2;Le.decode=j2;Le.fromJSON=F2;Br.encode=J2;Br.decode=$2;Br.fromJSON=Sx;Vn.encode=tD;Vn.decode=G2;Vn.fromJSON=D2;Ni.encode=eD;Ni.decode=H2;Ln.encode=rD;Ln.decode=W2;function j2(r,t=new Map,e=je.V5){const n=q2(r,t);return new Le(n,ql(r),t,e)}function $2(r,t=je.V5){if(r.compression()!==null)throw new Error("Record batch compression not implemented");return new Br(r.length(),X2(r),Y2(r,t))}function G2(r,t=je.V5){return new Vn(Br.decode(r.data(),t),r.id(),r.isDelta())}function W2(r){return new Ln(r.offset(),r.length())}function H2(r){return new Ni(r.length(),r.nullCount())}function X2(r){const t=[];for(let e,n=-1,i=-1,s=r.nodesLength();++nPe.encode(r,s));In.startFieldsVector(r,e.length);const n=In.createFieldsVector(r,e),i=t.metadata&&t.metadata.size>0?In.createCustomMetadataVector(r,[...t.metadata].map(([s,o])=>{const a=r.createString(`${s}`),l=r.createString(`${o}`);return qe.startKeyValue(r),qe.addKey(r,a),qe.addValue(r,l),qe.endKeyValue(r)})):-1;return In.startSchema(r),In.addFields(r,n),In.addEndianness(r,nD?Co.Little:Co.Big),i!==-1&&In.addCustomMetadata(r,i),In.endSchema(r)}function K2(r,t){let e=-1,n=-1,i=-1;const s=t.type;let o=t.typeId;Ot.isDictionary(s)?(o=s.dictionary.typeId,i=Rh.visit(s,r),n=Rh.visit(s.dictionary,r)):n=Rh.visit(s,r);const a=(s.children||[]).map(c=>Pe.encode(r,c)),l=Wr.createChildrenVector(r,a),u=t.metadata&&t.metadata.size>0?Wr.createCustomMetadataVector(r,[...t.metadata].map(([c,h])=>{const f=r.createString(`${c}`),d=r.createString(`${h}`);return qe.startKeyValue(r),qe.addKey(r,f),qe.addValue(r,d),qe.endKeyValue(r)})):-1;return t.name&&(e=r.createString(t.name)),Wr.startField(r),Wr.addType(r,n),Wr.addTypeType(r,o),Wr.addChildren(r,l),Wr.addNullable(r,!!t.nullable),e!==-1&&Wr.addName(r,e),i!==-1&&Wr.addDictionary(r,i),u!==-1&&Wr.addCustomMetadata(r,u),Wr.endField(r)}function J2(r,t){const e=t.nodes||[],n=t.buffers||[];ri.startNodesVector(r,e.length);for(const o of e.slice().reverse())Ni.encode(r,o);const i=r.endVector();ri.startBuffersVector(r,n.length);for(const o of n.slice().reverse())Ln.encode(r,o);const s=r.endVector();return ri.startRecordBatch(r),ri.addLength(r,BigInt(t.length)),ri.addNodes(r,i),ri.addBuffers(r,s),ri.endRecordBatch(r)}function tD(r,t){const e=Br.encode(r,t.data);return Zs.startDictionaryBatch(r),Zs.addId(r,BigInt(t.id)),Zs.addIsDelta(r,t.isDelta),Zs.addData(r,e),Zs.endDictionaryBatch(r)}function eD(r,t){return jb.createFieldNode(r,BigInt(t.length),BigInt(t.nullCount))}function rD(r,t){return Vb.createBuffer(r,BigInt(t.offset),BigInt(t.length))}const nD=(()=>{const r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256})(),fp=r=>`Expected ${me[r]} Message in stream, but was null or length 0.`,pp=r=>`Header pointer of flatbuffer-encoded ${me[r]} Message is null or length 0.`,Ex=(r,t)=>`Expected to read ${r} metadata bytes, but only read ${t}.`,Ax=(r,t)=>`Expected to read ${r} bytes for message body, but only read ${t}.`;class Mx{constructor(t){this.source=t instanceof Nu?t:new Nu(t)}[Symbol.iterator](){return this}next(){let t;return(t=this.readMetadataLength()).done||t.value===-1&&(t=this.readMetadataLength()).done||(t=this.readMetadata(t.value)).done?Be:t}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readMessageBody(t){if(t<=0)return new Uint8Array(0);const e=ce(this.source.read(t));if(e.byteLength[...i,...s.VALIDITY&&[s.VALIDITY]||[],...s.TYPE_ID&&[s.TYPE_ID]||[],...s.OFFSET&&[s.OFFSET]||[],...s.DATA&&[s.DATA]||[],...e(s.children)],[])}}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readSchema(){const t=me.Schema,e=this.readMessage(t),n=e==null?void 0:e.header();if(!e||!n)throw new Error(pp(t));return n}}const uc=4,sf="ARROW1",ja=new Uint8Array(sf.length);for(let r=0;rthis):this}readRecordBatch(t){return this._impl.isFile()?this._impl.readRecordBatch(t):null}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}toDOMStream(){return Yr.toDOMStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this})}toNodeStream(){return Yr.toNodeStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this},{objectMode:!0})}static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}static from(t){return t instanceof tn?t:Hd(t)?cD(t):Fb(t)?fD(t):Is(t)?Jt(this,void 0,void 0,function*(){return yield tn.from(yield t)}):Db(t)||Zf(t)||Lb(t)||Uo(t)?dD(new Po(t)):hD(new Nu(t))}static readAll(t){return t instanceof tn?t.isSync()?Sy(t):Ty(t):Hd(t)||ArrayBuffer.isView(t)||Qa(t)||Rb(t)?Sy(t):Ty(t)}}class Uu extends tn{constructor(t){super(t),this._impl=t}readAll(){return[...this]}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return br(this,arguments,function*(){yield Rt(yield*Ss(Bn(this[Symbol.iterator]())))})}}class ku extends tn{constructor(t){super(t),this._impl=t}readAll(){return Jt(this,void 0,void 0,function*(){var t,e,n,i;const s=new Array;try{for(var o=!0,a=Bn(this),l;l=yield a.next(),t=l.done,!t;o=!0){i=l.value,o=!1;const u=i;s.push(u)}}catch(u){e={error:u}}finally{try{!o&&!t&&(n=a.return)&&(yield n.call(a))}finally{if(e)throw e.error}}return s})}[Symbol.iterator](){throw new Error("AsyncRecordBatchStreamReader is not Iterable")}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}}class Ox extends Uu{constructor(t){super(t),this._impl=t}}class aD extends ku{constructor(t){super(t),this._impl=t}}class Px{get numDictionaries(){return this._dictionaryIndex}get numRecordBatches(){return this._recordBatchIndex}constructor(t=new Map){this.closed=!1,this.autoDestroy=!0,this._dictionaryIndex=0,this._recordBatchIndex=0,this.dictionaries=t}isSync(){return!1}isAsync(){return!1}isFile(){return!1}isStream(){return!1}reset(t){return this._dictionaryIndex=0,this._recordBatchIndex=0,this.schema=t,this.dictionaries=new Map,this}_loadRecordBatch(t,e){const n=this._loadVectors(t,e,this.schema.fields),i=le({type:new dr(this.schema.fields),length:t.length,children:n});return new _r(this.schema,i)}_loadDictionaryBatch(t,e){const{id:n,isDelta:i}=t,{dictionaries:s,schema:o}=this,a=s.get(n),l=o.dictionaries.get(n),u=this._loadVectors(t.data,e,[l]);return(a&&i?a.concat(new Ne(u)):new Ne(u)).memoize()}_loadVectors(t,e,n){return new _x(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}class zu extends Px{constructor(t,e){super(e),this._reader=Hd(t)?new sD(this._handle=t):new Mx(this._handle=t)}isSync(){return!0}isStream(){return!0}[Symbol.iterator](){return this}cancel(){!this.closed&&(this.closed=!0)&&(this.reset()._reader.return(),this._reader=null,this.dictionaries=null)}open(t){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=this._reader.readSchema())||this.cancel()),this}throw(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.throw(t):Be}return(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.return(t):Be}next(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=this._readNextMessageAndValidate();)if(t.isSchema())this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):this.return()}_readNextMessageAndValidate(t){return this._reader.readMessage(t)}}class Vu extends Px{constructor(t,e){super(e),this._reader=new iD(this._handle=t)}isAsync(){return!0}isStream(){return!0}[Symbol.asyncIterator](){return this}cancel(){return Jt(this,void 0,void 0,function*(){!this.closed&&(this.closed=!0)&&(yield this.reset()._reader.return(),this._reader=null,this.dictionaries=null)})}open(t){return Jt(this,void 0,void 0,function*(){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=yield this._reader.readSchema())||(yield this.cancel())),this})}throw(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.throw(t):Be})}return(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.return(t):Be})}next(){return Jt(this,void 0,void 0,function*(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=yield this._readNextMessageAndValidate();)if(t.isSchema())yield this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):yield this.return()})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){return yield this._reader.readMessage(t)})}}class Rx extends zu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,e){super(t instanceof my?t:new my(t),e)}isSync(){return!0}isFile(){return!0}open(t){if(!this.closed&&!this._footer){this.schema=(this._footer=this._readFooter()).schema;for(const e of this._footer.dictionaryBatches())e&&this._readDictionaryBatch(this._dictionaryIndex++)}return super.open(t)}readRecordBatch(t){var e;if(this.closed)return null;this._footer||this.open();const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null}_readDictionaryBatch(t){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}}_readFooter(){const{_handle:t}=this,e=t.size-Cx,n=t.readInt32(e),i=t.readAt(e-n,n);return Va.decode(i)}_readNextMessageAndValidate(t){var e;if(this._footer||this.open(),this._footer&&this._recordBatchIndexsuper.open}});return Jt(this,void 0,void 0,function*(){if(!this.closed&&!this._footer){this.schema=(this._footer=yield this._readFooter()).schema;for(const n of this._footer.dictionaryBatches())n&&(yield this._readDictionaryBatch(this._dictionaryIndex++))}return yield e.open.call(this,t)})}readRecordBatch(t){return Jt(this,void 0,void 0,function*(){var e;if(this.closed)return null;this._footer||(yield this.open());const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null})}_readDictionaryBatch(t){return Jt(this,void 0,void 0,function*(){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}})}_readFooter(){return Jt(this,void 0,void 0,function*(){const{_handle:t}=this;t._pending&&(yield t._pending);const e=t.size-Cx,n=yield t.readInt32(e),i=yield t.readAt(e-n,n);return Va.decode(i)})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){if(this._footer||(yield this.open()),this._footer&&this._recordBatchIndex=4?mp(t)?new Ox(new Rx(r.read())):new Uu(new zu(r)):new Uu(new zu(function*(){}()))}function dD(r){return Jt(this,void 0,void 0,function*(){const t=yield r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(yield r.read())):new ku(new Vu(r)):new ku(new Vu(function(){return br(this,arguments,function*(){})}()))})}function fD(r){return Jt(this,void 0,void 0,function*(){const{size:t}=yield r.stat(),e=new Bu(r,t);return t>=oD&&mp(yield e.readAt(0,tl+7&-8))?new aD(new lD(e)):new ku(new Vu(e))})}class ke extends se{static assemble(...t){const e=i=>i.flatMap(s=>Array.isArray(s)?e(s):s instanceof _r?s.data.children:s.data),n=new ke;return n.visitMany(e(t)),n}constructor(){super(),this._byteLength=0,this._nodes=[],this._buffers=[],this._bufferRegions=[]}visit(t){if(t instanceof Ne)return this.visitMany(t.data),this;const{type:e}=t;if(!Ot.isDictionary(e)){const{length:n}=t;if(n>2147483647)throw new RangeError("Cannot write arrays larger than 2^31 - 1 in length");if(Ot.isUnion(e))this.nodes.push(new Ni(n,0));else{const{nullCount:i}=t;Ot.isNull(e)||dn.call(this,i<=0?new Uint8Array(0):Ru(t.offset,n,t.nullBitmap)),this.nodes.push(new Ni(n,i))}}return super.visit(t)}visitNull(t){return this}visitDictionary(t){return this.visit(t.clone(t.type.indices))}get nodes(){return this._nodes}get buffers(){return this._buffers}get byteLength(){return this._byteLength}get bufferRegions(){return this._bufferRegions}}function dn(r){const t=r.byteLength+7&-8;return this.buffers.push(r),this.bufferRegions.push(new Ln(this._byteLength,t)),this._byteLength+=t,this}function pD(r){var t;const{type:e,length:n,typeIds:i,valueOffsets:s}=r;if(dn.call(this,i),e.mode===lr.Sparse)return of.call(this,r);if(e.mode===lr.Dense){if(r.offset<=0)return dn.call(this,s),of.call(this,r);{const o=new Int32Array(n),a=Object.create(null),l=Object.create(null);for(let u,c,h=-1;++h{const h=e.typeIds[c],f=a[h],d=l[h];return u.slice(f,Math.min(n,d))}))}}return this}function mD(r){let t;return r.nullCount>=r.length?dn.call(this,new Uint8Array(0)):(t=r.values)instanceof Uint8Array?dn.call(this,Ru(r.offset,r.length,t)):dn.call(this,Fu(r.values))}function fi(r){return dn.call(this,r.values.subarray(0,r.length*r.stride))}function cc(r){const{length:t,values:e,valueOffsets:n}=r,i=Te(n[0]),s=Te(n[t]),o=Math.min(s-i,e.byteLength-i);return dn.call(this,Bb(-i,t+1,n)),dn.call(this,e.subarray(i,i+o)),this}function gp(r){const{length:t,valueOffsets:e}=r;if(e){const{[0]:n,[t]:i}=e;return dn.call(this,Bb(-n,t+1,e)),this.visit(r.children[0].slice(n,i-n))}return this.visit(r.children[0])}function of(r){return this.visitMany(r.type.children.map((t,e)=>r.children[e]).filter(Boolean))[0]}ke.prototype.visitBool=mD;ke.prototype.visitInt=fi;ke.prototype.visitFloat=fi;ke.prototype.visitUtf8=cc;ke.prototype.visitLargeUtf8=cc;ke.prototype.visitBinary=cc;ke.prototype.visitLargeBinary=cc;ke.prototype.visitFixedSizeBinary=fi;ke.prototype.visitDate=fi;ke.prototype.visitTimestamp=fi;ke.prototype.visitTime=fi;ke.prototype.visitDecimal=fi;ke.prototype.visitList=gp;ke.prototype.visitStruct=of;ke.prototype.visitUnion=pD;ke.prototype.visitInterval=fi;ke.prototype.visitDuration=fi;ke.prototype.visitFixedSizeList=gp;ke.prototype.visitMap=gp;class Dx extends ap{static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}constructor(t){super(),this._position=0,this._started=!1,this._sink=new Xl,this._schema=null,this._dictionaryBlocks=[],this._recordBatchBlocks=[],this._seenDictionaries=new Map,this._dictionaryDeltaOffsets=new Map,wr(t)||(t={autoDestroy:!0,writeLegacyIpcFormat:!1}),this._autoDestroy=typeof t.autoDestroy=="boolean"?t.autoDestroy:!0,this._writeLegacyIpcFormat=typeof t.writeLegacyIpcFormat=="boolean"?t.writeLegacyIpcFormat:!1}toString(t=!1){return this._sink.toString(t)}toUint8Array(t=!1){return this._sink.toUint8Array(t)}writeAll(t){return Is(t)?t.then(e=>this.writeAll(e)):Uo(t)?bp(this,t):_p(this,t)}get closed(){return this._sink.closed}[Symbol.asyncIterator](){return this._sink[Symbol.asyncIterator]()}toDOMStream(t){return this._sink.toDOMStream(t)}toNodeStream(t){return this._sink.toNodeStream(t)}close(){return this.reset()._sink.close()}abort(t){return this.reset()._sink.abort(t)}finish(){return this._autoDestroy?this.close():this.reset(this._sink,this._schema),this}reset(t=this._sink,e=null){return t===this._sink||t instanceof Xl?this._sink=t:(this._sink=new Xl,t&&GR(t)?this.toDOMStream({type:"bytes"}).pipeTo(t):t&&WR(t)&&this.toNodeStream({objectMode:!1}).pipe(t)),this._started&&this._schema&&this._writeFooter(this._schema),this._started=!1,this._dictionaryBlocks=[],this._recordBatchBlocks=[],this._seenDictionaries=new Map,this._dictionaryDeltaOffsets=new Map,(!e||!nf(e,this._schema))&&(e==null?(this._position=0,this._schema=null):(this._started=!0,this._schema=e,this._writeSchema(e))),this}write(t){let e=null;if(this._sink){if(t==null)return this.finish()&&void 0;if(t instanceof Li&&!(e=t.schema))return this.finish()&&void 0;if(t instanceof _r&&!(e=t.schema))return this.finish()&&void 0}else throw new Error("RecordBatchWriter is closed");if(e&&!nf(e,this._schema)){if(this._started&&this._autoDestroy)return this.close();this.reset(this._sink,e)}t instanceof _r?t instanceof dp||this._writeRecordBatch(t):t instanceof Li?this.writeAll(t.batches):Qa(t)&&this.writeAll(t)}_writeMessage(t,e=8){const n=e-1,i=fr.encode(t),s=i.byteLength,o=this._writeLegacyIpcFormat?4:8,a=s+o+n&~n,l=a-s-o;return t.headerType===me.RecordBatch?this._recordBatchBlocks.push(new Fi(a,t.bodyLength,this._position)):t.headerType===me.DictionaryBatch&&this._dictionaryBlocks.push(new Fi(a,t.bodyLength,this._position)),this._writeLegacyIpcFormat||this._write(Int32Array.of(-1)),this._write(Int32Array.of(a-o)),s>0&&this._write(i),this._writePadding(l)}_write(t){if(this._started){const e=ce(t);e&&e.byteLength>0&&(this._sink.write(e),this._position+=e.byteLength)}return this}_writeSchema(t){return this._writeMessage(fr.from(t))}_writeFooter(t){return this._writeLegacyIpcFormat?this._write(Int32Array.of(0)):this._write(Int32Array.of(-1,0))}_writeMagic(){return this._write(ja)}_writePadding(t){return t>0?this._write(new Uint8Array(t)):this}_writeRecordBatch(t){const{byteLength:e,nodes:n,bufferRegions:i,buffers:s}=ke.assemble(t),o=new Br(t.numRows,n,i),a=fr.from(o,e);return this._writeDictionaries(t)._writeMessage(a)._writeBodyBuffers(s)}_writeDictionaryBatch(t,e,n=!1){const{byteLength:i,nodes:s,bufferRegions:o,buffers:a}=ke.assemble(new Ne([t])),l=new Br(t.length,s,o),u=new Vn(l,e,n),c=fr.from(u,i);return this._writeMessage(c)._writeBodyBuffers(a)}_writeBodyBuffers(t){let e,n,i;for(let s=-1,o=t.length;++s0&&(this._write(e),(i=(n+7&-8)-n)>0&&this._writePadding(i));return this}_writeDictionaries(t){var e,n;for(const[i,s]of t.dictionaries){const o=(e=s==null?void 0:s.data)!==null&&e!==void 0?e:[],a=this._seenDictionaries.get(i),l=(n=this._dictionaryDeltaOffsets.get(i))!==null&&n!==void 0?n:0;if(!a||a.data[0]!==o[0])for(const[u,c]of o.entries())this._writeDictionaryBatch(c,i,u>0);else if(ln.writeAll(i)):Uo(t)?bp(n,t):_p(n,t)}}class vp extends Dx{static writeAll(t){const e=new vp;return Is(t)?t.then(n=>e.writeAll(n)):Uo(t)?bp(e,t):_p(e,t)}constructor(){super(),this._autoDestroy=!0}_writeSchema(t){return this._writeMagic()._writePadding(2)}_writeDictionaryBatch(t,e,n=!1){if(!n&&this._seenDictionaries.has(e))throw new Error("The Arrow File format does not support replacement dictionaries. 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r},TD=(r,t,e)=>(e=r!=null?yD(bD(r)):{},SD(!r||!r.__esModule?Lx(e,"default",{value:r,enumerable:!0}):e,r)),ID=xD((r,t)=>{t.exports=Worker}),Nx=(r=>(r[r.UNDEFINED=0]="UNDEFINED",r[r.AUTOMATIC=1]="AUTOMATIC",r[r.READ_ONLY=2]="READ_ONLY",r[r.READ_WRITE=3]="READ_WRITE",r))(Nx||{}),ED=(r=>(r[r.IDENTIFIER=0]="IDENTIFIER",r[r.NUMERIC_CONSTANT=1]="NUMERIC_CONSTANT",r[r.STRING_CONSTANT=2]="STRING_CONSTANT",r[r.OPERATOR=3]="OPERATOR",r[r.KEYWORD=4]="KEYWORD",r[r.COMMENT=5]="COMMENT",r))(ED||{}),AD=(r=>(r[r.NONE=0]="NONE",r[r.DEBUG=1]="DEBUG",r[r.INFO=2]="INFO",r[r.WARNING=3]="WARNING",r[r.ERROR=4]="ERROR",r))(AD||{}),MD=(r=>(r[r.NONE=0]="NONE",r[r.CONNECT=1]="CONNECT",r[r.DISCONNECT=2]="DISCONNECT",r[r.OPEN=3]="OPEN",r[r.QUERY=4]="QUERY",r[r.INSTANTIATE=5]="INSTANTIATE",r))(MD||{}),CD=(r=>(r[r.NONE=0]="NONE",r[r.OK=1]="OK",r[r.ERROR=2]="ERROR",r[r.START=3]="START",r[r.RUN=4]="RUN",r[r.CAPTURE=5]="CAPTURE",r))(CD||{}),OD=(r=>(r[r.NONE=0]="NONE",r[r.WEB_WORKER=1]="WEB_WORKER",r[r.NODE_WORKER=2]="NODE_WORKER",r[r.BINDINGS=3]="BINDINGS",r[r.ASYNC_DUCKDB=4]="ASYNC_DUCKDB",r))(OD||{}),PD=class{log(r){}},Bx=class{constructor(r=2){this.level=r}log(r){r.level>=this.level&&console.log(r)}},RD=(r=>(r[r.SUCCESS=0]="SUCCESS",r))(RD||{}),FD=class{constructor(r,t){this._bindings=r,this._conn=t}get 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this.config.setOperators.length>0?this.config.setOperators.at(-1).offset=e:this.config.offset=e,this}for(e,n={}){return this.config.lockingClause={strength:e,config:n},this}getSQL(){return this.dialect.buildSelectQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}as(e){return new Proxy(new Nr(this.getSQL(),this.config.fields,e),new or({alias:e,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}getSelectedFields(){return new Proxy(this.config.fields,new or({alias:this.tableName,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}$dynamic(){return this}}W(qT,j_,"PgSelectQueryBuilder");var G_,W_;class zp extends(W_=qT,G_=St,W_){constructor(){super(...arguments);W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)))}_prepare(e){const{session:n,config:i,dialect:s,joinsNotNullableMap:o,authToken:a}=this;if(!n)throw new Error("Cannot execute a query on a query builder. Please use a database instance instead.");return Ur.startActiveSpan("drizzle.prepareQuery",()=>{const l=Cs(i.fields),u=n.prepareQuery(s.sqlToQuery(this.getSQL()),l,e,!0);return u.joinsNotNullableMap=o,u.setToken(a)})}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}}W(zp,G_,"PgSelect");vk(zp,[$i]);function zo(r,t){return(e,n,...i)=>{const s=[n,...i].map(o=>({type:r,isAll:t,rightSelect:o}));for(const o of s)if(!Bp(e.getSelectedFields(),o.rightSelect.getSelectedFields()))throw new Error("Set operator error (union / intersect / except): selected fields are not the same or are in a different order");return e.addSetOperators(s)}}const Pk=()=>({union:Rk,unionAll:Fk,intersect:Dk,intersectAll:Lk,except:Nk,exceptAll:Bk}),Rk=zo("union",!1),Fk=zo("union",!0),Dk=zo("intersect",!1),Lk=zo("intersect",!0),Nk=zo("except",!1),Bk=zo("except",!0);var H_;H_=St;class Vp{constructor(t){W(this,"dialect");W(this,"dialectConfig");W(this,"$with",(t,e)=>{const 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this.dialect||(this.dialect=new Ea(this.dialectConfig)),this.dialect}}W(Vp,H_,"PgQueryBuilder");var X_;X_=St;class _f{constructor(t,e,n,i,s){W(this,"authToken");this.table=t,this.session=e,this.dialect=n,this.withList=i,this.overridingSystemValue_=s}setToken(t){return this.authToken=t,this}overridingSystemValue(){return this.overridingSystemValue_=!0,this}values(t){if(t=Array.isArray(t)?t:[t],t.length===0)throw new Error("values() must be called with at least one value");const e=t.map(n=>{const i={},s=this.table[Tt.Symbol.Columns];for(const o of Object.keys(n)){const a=n[o];i[o]=lt(a,Pt)?a:new ci(a,s[o])}return i});return new bf(this.table,e,this.session,this.dialect,this.withList,!1,this.overridingSystemValue_).setToken(this.authToken)}select(t){const e=typeof t=="function"?t(new Vp):t;if(!lt(e,Pt)&&!Bp(this.table[mf],e._.selectedFields))throw new Error("Insert select error: selected fields are not the same or are in a different order compared to the table definition");return new bf(this.table,e,this.session,this.dialect,this.withList,!0)}}W(_f,X_,"PgInsertBuilder");var Y_,q_;class bf extends(q_=$i,Y_=St,q_){constructor(e,n,i,s,o,a,l){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=i,this.dialect=s,this.config={table:e,values:n,withList:o,select:a,overridingSystemValue_:l}}returning(e=this.config.table[Tt.Symbol.Columns]){return this.config.returningFields=e,this.config.returning=Cs(e),this}onConflictDoNothing(e={}){if(e.target===void 0)this.config.onConflict=Y`do nothing`;else{let n="";n=Array.isArray(e.target)?e.target.map(s=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(s))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target));const i=e.where?Y` where ${e.where}`:void 0;this.config.onConflict=Y`(${Y.raw(n)})${i} do nothing`}return this}onConflictDoUpdate(e){if(e.where&&(e.targetWhere||e.setWhere))throw new Error('You cannot use both "where" and "targetWhere"/"setWhere" at the same time - "where" is deprecated, use "targetWhere" or "setWhere" instead.');const n=e.where?Y` where ${e.where}`:void 0,i=e.targetWhere?Y` where ${e.targetWhere}`:void 0,s=e.setWhere?Y` where ${e.setWhere}`:void 0,o=this.dialect.buildUpdateSet(this.config.table,DT(this.config.table,e.set));let a="";return a=Array.isArray(e.target)?e.target.map(l=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(l))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target)),this.config.onConflict=Y`(${Y.raw(a)})${i} do update set ${o}${n}${s}`,this}getSQL(){return this.dialect.buildInsertQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>this.session.prepareQuery(this.dialect.sqlToQuery(this.getSQL()),this.config.returning,e,!0))}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}getSelectedFields(){return this.config.returningFields?new Proxy(this.config.returningFields,new or({alias:vs(this.config.table),sqlAliasedBehavior:"alias",sqlBehavior:"error"})):void 0}$dynamic(){return this}}W(bf,Y_,"PgInsert");var Q_,Z_;class QT extends(Z_=$i,Q_=St,Z_){constructor(e,n,i){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=n,this.dialect=i,this.config={view:e}}concurrently(){if(this.config.withNoData!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.concurrently=!0,this}withNoData(){if(this.config.concurrently!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.withNoData=!0,this}getSQL(){return this.dialect.buildRefreshMaterializedViewQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>this.session.prepareQuery(this.dialect.sqlToQuery(this.getSQL()),void 0,e,!0))}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}}W(QT,Q_,"PgRefreshMaterializedView");var K_;K_=St;class wf{constructor(t,e,n,i){W(this,"authToken");this.table=t,this.session=e,this.dialect=n,this.withList=i}setToken(t){return this.authToken=t,this}set(t){return new ZT(this.table,DT(this.table,t),this.session,this.dialect,this.withList).setToken(this.authToken)}}W(wf,K_,"PgUpdateBuilder");var J_,t0;class ZT extends(t0=$i,J_=St,t0){constructor(e,n,i,s,o){super();W(this,"config");W(this,"tableName");W(this,"joinsNotNullableMap");W(this,"leftJoin",this.createJoin("left"));W(this,"rightJoin",this.createJoin("right"));W(this,"innerJoin",this.createJoin("inner"));W(this,"fullJoin",this.createJoin("full"));W(this,"authToken");W(this,"execute",e=>this._prepare().execute(e,this.authToken));this.session=i,this.dialect=s,this.config={set:n,table:e,withList:o,joins:[]},this.tableName=fs(e),this.joinsNotNullableMap=typeof this.tableName=="string"?{[this.tableName]:!0}:{}}from(e){const n=e,i=fs(n);return typeof i=="string"&&(this.joinsNotNullableMap[i]=!0),this.config.from=n,this}getTableLikeFields(e){return lt(e,Xr)?e[Tt.Symbol.Columns]:lt(e,Nr)?e._.selectedFields:e[Qe].selectedFields}createJoin(e){return(n,i)=>{const s=fs(n);if(typeof s=="string"&&this.config.joins.some(o=>o.alias===s))throw new Error(`Alias "${s}" is already used in this query`);if(typeof i=="function"){const o=this.config.from&&!lt(this.config.from,Pt)?this.getTableLikeFields(this.config.from):void 0;i=i(new Proxy(this.config.table[Tt.Symbol.Columns],new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})),o&&new Proxy(o,new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})))}if(this.config.joins.push({on:i,table:n,joinType:e,alias:s}),typeof s=="string")switch(e){case"left":{this.joinsNotNullableMap[s]=!1;break}case"right":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!0;break}case"inner":{this.joinsNotNullableMap[s]=!0;break}case"full":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!1;break}}return this}}where(e){return this.config.where=e,this}returning(e){if(!e&&(e=Object.assign({},this.config.table[Tt.Symbol.Columns]),this.config.from)){const n=fs(this.config.from);if(typeof n=="string"&&this.config.from&&!lt(this.config.from,Pt)){const i=this.getTableLikeFields(this.config.from);e[n]=i}for(const i of this.config.joins){const s=fs(i.table);if(typeof s=="string"&&!lt(i.table,Pt)){const o=this.getTableLikeFields(i.table);e[s]=o}}}return this.config.returningFields=e,this.config.returning=Cs(e),this}getSQL(){return this.dialect.buildUpdateQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}_prepare(e){const n=this.session.prepareQuery(this.dialect.sqlToQuery(this.getSQL()),this.config.returning,e,!0);return n.joinsNotNullableMap=this.joinsNotNullableMap,n}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}getSelectedFields(){return this.config.returningFields?new Proxy(this.config.returningFields,new or({alias:vs(this.config.table),sqlAliasedBehavior:"alias",sqlBehavior:"error"})):void 0}$dynamic(){return this}}W(ZT,J_,"PgUpdate");var e0,r0,n0;const Ma=class Ma extends(n0=Pt,r0=St,e0=Symbol.toStringTag,n0){constructor(e){super(Ma.buildEmbeddedCount(e.source,e.filters).queryChunks);W(this,"sql");W(this,"token");W(this,e0,"PgCountBuilder");W(this,"session");this.params=e,this.mapWith(Number),this.session=e.session,this.sql=Ma.buildCount(e.source,e.filters)}static buildEmbeddedCount(e,n){return Y`(select count(*) from ${e}${Y.raw(" where ").if(n)}${n})`}static buildCount(e,n){return Y`select count(*) as count from ${e}${Y.raw(" where ").if(n)}${n};`}setToken(e){return this.token=e,this}then(e,n){return Promise.resolve(this.session.count(this.sql,this.token)).then(e,n)}catch(e){return this.then(void 0,e)}finally(e){return this.then(n=>(e==null||e(),n),n=>{throw e==null||e(),n})}};W(Ma,r0,"PgCountBuilder");let xf=Ma;var i0;i0=St;class KT{constructor(t,e,n,i,s,o,a){this.fullSchema=t,this.schema=e,this.tableNamesMap=n,this.table=i,this.tableConfig=s,this.dialect=o,this.session=a}findMany(t){return new 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this.dialect.buildRelationalQueryWithoutPK({fullSchema:this.fullSchema,schema:this.schema,tableNamesMap:this.tableNamesMap,table:this.table,tableConfig:this.tableConfig,queryConfig:this.config,tableAlias:this.tableConfig.tsName})}getSQL(){return this._getQuery().sql}_toSQL(){const e=this._getQuery(),n=this.dialect.sqlToQuery(e.sql);return{query:e,builtQuery:n}}toSQL(){return this._toSQL().builtQuery}setToken(e){return this.authToken=e,this}execute(){return Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(void 0,this.authToken))}}W(Sf,s0,"PgRelationalQuery");var a0,l0;class JT extends(l0=$i,a0=St,l0){constructor(t,e,n,i){super(),this.execute=t,this.sql=e,this.query=n,this.mapBatchResult=i}getSQL(){return this.sql}getQuery(){return this.query}mapResult(t,e){return e?this.mapBatchResult(t):t}_prepare(){return this}isResponseInArrayMode(){return!1}}W(JT,a0,"PgRaw");var u0;u0=St;class jp{constructor(t,e,n){W(this,"query");W(this,"$with",(t,e)=>{const 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+import{d as r,bE as l,i as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-Dlp4W1Zl.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},g={"text-nowrap":"","text-3xl":"","font-semibold":""},h=r({__name:"memory-long-term",setup(y){const i=l(),{t:s}=c();return(b,e)=>{const a=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",g,n(o(s)("settings.pages.modules.memory-long-term.title")),1)])])),[[a]])}}});export{h as default}; diff --git a/assets/memory-short-term-C2rRGrUR.js b/assets/memory-short-term-r0JH0hk6.js similarity index 92% rename from assets/memory-short-term-C2rRGrUR.js rename to assets/memory-short-term-r0JH0hk6.js index 8fdebd449019e0690accda58371915b70b2e5fea..71eefa378b65344623c278e2572109039f67bf4e 100644 --- a/assets/memory-short-term-C2rRGrUR.js +++ b/assets/memory-short-term-r0JH0hk6.js @@ -1 +1 @@ -import{d as a,bE as l,i as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-rD0Uu1v9.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},y={"text-nowrap":"","text-3xl":"","font-semibold":""},k=a({__name:"memory-short-term",setup(b){const i=l(),{t:s}=c();return(h,e)=>{const r=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",y,n(o(s)("settings.pages.modules.memory-short-term.title")),1)])])),[[r]])}}});export{k as default}; +import{d as a,bE as l,i as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-Dlp4W1Zl.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},y={"text-nowrap":"","text-3xl":"","font-semibold":""},k=a({__name:"memory-short-term",setup(b){const i=l(),{t:s}=c();return(h,e)=>{const r=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",y,n(o(s)("settings.pages.modules.memory-short-term.title")),1)])])),[[r]])}}});export{k as default}; diff --git a/assets/messages-CYVaGXcj.js b/assets/messages-CT9yvwKz.js similarity index 78% rename from assets/messages-CYVaGXcj.js rename to assets/messages-CT9yvwKz.js index 2705dfd727f7173019165185c02b633f7650a793..554f682221d880e2032e2ecbb487661fcb3270df 100644 --- a/assets/messages-CYVaGXcj.js +++ b/assets/messages-CT9yvwKz.js @@ -1 +1 @@ -import{u as m,_ as g,l as _}from"./queues-kGVt0l-U.js";import"./live2d-zip-loader-BdiFCiUD.js";import{d as v,g as t,c as l,o as u,a as e,b,e as x,D as c,bx as k,by as h}from"./index-rD0Uu1v9.js";import{u as z}from"./queue-EbaGahVd.js";const w={flex:"","flex-col":"","gap-2":"","p-2":""},y={flex:"","flex-row":"","gap-2":""},S={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},V={"w-full":"",flex:"","flex-row":"","gap-4":""},M={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},E=v({__name:"messages",setup(Q){const s=t(""),d=t([]),a=t(!1),f=z({handlers:[async i=>{d.value.push(i.data)}]}),r=m(f);async function p(){a.value=!0,r.add(s.value),r.add(_),s.value="",a.value=!1}return(i,n)=>(u(),l("div",w,[e("div",y,[b(x(g),{modelValue:s.value,"onUpdate:modelValue":n[0]||(n[0]=o=>s.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),e("button",S,c(a.value?"Processing...":"Send"),1)]),e("div",V,[e("div",M,[n[1]||(n[1]=e("h3",{"font-semibold":""}," TTS Message ",-1)),(u(!0),l(k,null,h(d.value,o=>(u(),l("div",{key:o},[e("div",null,c(o),1)]))),128))])])]))}});export{E as default}; +import{u as m,_ as g,l as _}from"./queues-CJq1hDiQ.js";import"./live2d-zip-loader-C5j9stxV.js";import{d as v,g as t,c as l,o as u,a as e,b,e as x,D as c,bx as k,by as h}from"./index-Dlp4W1Zl.js";import{u as z}from"./queue-DW8o1RLT.js";const w={flex:"","flex-col":"","gap-2":"","p-2":""},y={flex:"","flex-row":"","gap-2":""},S={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},V={"w-full":"",flex:"","flex-row":"","gap-4":""},M={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},E=v({__name:"messages",setup(Q){const s=t(""),d=t([]),a=t(!1),f=z({handlers:[async i=>{d.value.push(i.data)}]}),r=m(f);async function p(){a.value=!0,r.add(s.value),r.add(_),s.value="",a.value=!1}return(i,n)=>(u(),l("div",w,[e("div",y,[b(x(g),{modelValue:s.value,"onUpdate:modelValue":n[0]||(n[0]=o=>s.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),e("button",S,c(a.value?"Processing...":"Send"),1)]),e("div",V,[e("div",M,[n[1]||(n[1]=e("h3",{"font-semibold":""}," TTS Message ",-1)),(u(!0),l(k,null,h(d.value,o=>(u(),l("div",{key:o},[e("div",null,c(o),1)]))),128))])])]))}});export{E as default}; diff --git a/assets/microsoft-speech-CbKBRvT-.js b/assets/microsoft-speech-BPOz5ZLq.js similarity index 73% rename from assets/microsoft-speech-CbKBRvT-.js rename to assets/microsoft-speech-BPOz5ZLq.js index 5df3abba247293e67628be876d3aa765f6a3b426..76fa3a6750a0676fdc48859779f35337ceffa238 100644 --- a/assets/microsoft-speech-CbKBRvT-.js +++ b/assets/microsoft-speech-BPOz5ZLq.js @@ -1 +1 @@ -import{_ as P}from"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./live2d-zip-loader-BdiFCiUD.js";import{d as B,i as K,s as L,g as m,h as p,x as M,o as T,y as f,b as g,e as i}from"./index-rD0Uu1v9.js";import{u as q}from"./providers-Dg3FpvfZ.js";import{u as z}from"./speech-CUKri9wm.js";import{_ as E,a as F,b as G}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-UpCqB8UJ.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-DtA_pyWZ.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";const t="microsoft-speech",x="v1",ee=B({__name:"microsoft-speech",setup(H){const{t:h}=K(),U={pitch:0,speed:1,volume:0},r=z(),d=q(),{providers:n}=L(d),u=m(0),b=m(1),_=m(0),c=p({get:()=>{var o;return((o=n.value[t])==null?void 0:o.region)||"eastasia"},set:o=>{n.value[t]||(n.value[t]={}),n.value[t].region=o}}),C=p(()=>{var o;return!!((o=n.value[t])!=null&&o.apiKey)}),y=p(()=>r.availableVoices[t]||[]),k=p(()=>r.availableLanguages);async function $(o,e,a){const l=d.getProviderInstance(t);if(!l)throw new Error("Failed to initialize speech provider");const s=d.getProviderConfig(t),S=s.model||x,w={...s,region:c.value,disableSsml:!a};if(!a&&e){const V=y.value.find(v=>v.id===e);if(V){const v=r.generateSSML(o,V,{...s,pitch:u.value});return await r.speech(l,S,v,e,w)}}return await r.speech(l,S,o,e,w)}return(o,e)=>(T(),M(i(G),{"provider-id":t,"default-model":x,"additional-settings":U},{"basic-settings":f(()=>[g(i(P),{modelValue:c.value,"onUpdate:modelValue":e[0]||(e[0]=a=>c.value=a),label:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.label"),description:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.description"),placeholder:"eastasia",required:"",type:"text"},null,8,["modelValue","label","description"])]),"voice-settings":f(({voiceSettings:a,updateVoiceSettings:l})=>[g(i(F),{pitch:u.value,"onUpdate:pitch":e[1]||(e[1]=s=>u.value=s),speed:b.value,"onUpdate:speed":e[2]||(e[2]=s=>b.value=s),volume:_.value,"onUpdate:volume":e[3]||(e[3]=s=>_.value=s),settings:a,"show-pitch":!0,"show-speed":!0,"show-volume":!0,onUpdate:l},null,8,["pitch","speed","volume","settings","onUpdate"])]),playground:f(()=>[g(i(E),{"available-voices":y.value,"available-languages":k.value,"generate-speech":$,"api-key-configured":C.value,"default-text":"Hello! This is a test of the Microsoft Speech synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{ee as default}; +import{_ as P}from"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./live2d-zip-loader-C5j9stxV.js";import{d as B,i as K,s as L,g as m,h as p,x as M,o as T,y as f,b as g,e as i}from"./index-Dlp4W1Zl.js";import{u as q}from"./providers-BRCa7xUS.js";import{u as z}from"./speech-DU07zXBj.js";import{_ as E,a as F,b as G}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-CgsOdTr3.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-DUVC_k0v.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";const t="microsoft-speech",x="v1",ee=B({__name:"microsoft-speech",setup(H){const{t:h}=K(),U={pitch:0,speed:1,volume:0},r=z(),d=q(),{providers:n}=L(d),u=m(0),b=m(1),_=m(0),c=p({get:()=>{var o;return((o=n.value[t])==null?void 0:o.region)||"eastasia"},set:o=>{n.value[t]||(n.value[t]={}),n.value[t].region=o}}),C=p(()=>{var o;return!!((o=n.value[t])!=null&&o.apiKey)}),y=p(()=>r.availableVoices[t]||[]),k=p(()=>r.availableLanguages);async function $(o,e,a){const l=d.getProviderInstance(t);if(!l)throw new Error("Failed to initialize speech provider");const s=d.getProviderConfig(t),S=s.model||x,w={...s,region:c.value,disableSsml:!a};if(!a&&e){const V=y.value.find(v=>v.id===e);if(V){const v=r.generateSSML(o,V,{...s,pitch:u.value});return await r.speech(l,S,v,e,w)}}return await r.speech(l,S,o,e,w)}return(o,e)=>(T(),M(i(G),{"provider-id":t,"default-model":x,"additional-settings":U},{"basic-settings":f(()=>[g(i(P),{modelValue:c.value,"onUpdate:modelValue":e[0]||(e[0]=a=>c.value=a),label:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.label"),description:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.description"),placeholder:"eastasia",required:"",type:"text"},null,8,["modelValue","label","description"])]),"voice-settings":f(({voiceSettings:a,updateVoiceSettings:l})=>[g(i(F),{pitch:u.value,"onUpdate:pitch":e[1]||(e[1]=s=>u.value=s),speed:b.value,"onUpdate:speed":e[2]||(e[2]=s=>b.value=s),volume:_.value,"onUpdate:volume":e[3]||(e[3]=s=>_.value=s),settings:a,"show-pitch":!0,"show-speed":!0,"show-volume":!0,onUpdate:l},null,8,["pitch","speed","volume","settings","onUpdate"])]),playground:f(()=>[g(i(E),{"available-voices":y.value,"available-languages":k.value,"generate-speech":$,"api-key-configured":C.value,"default-text":"Hello! This is a test of the Microsoft Speech synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{ee as default}; diff --git a/assets/mistral-ai-BSvPWWKn.js b/assets/mistral-ai-C7perH7S.js similarity index 67% rename from assets/mistral-ai-BSvPWWKn.js rename to assets/mistral-ai-C7perH7S.js index 8b65f7713a79a6557a2583ab510d7d16badf3bef..c7fe4400d6300c5bd4010128e9bb9c7836fb2b0a 100644 --- a/assets/mistral-ai-BSvPWWKn.js +++ b/assets/mistral-ai-C7perH7S.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{d as U,i as V,bE as y,s as $,h as v,m as k,w as K,x as h,o as x,y as m,b as l,e as t}from"./index-rD0Uu1v9.js";import{u as w}from"./providers-Dg3FpvfZ.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="mistral-ai",H=U({__name:"mistral-ai",setup(S){const{t:p}=V(),_=y(),d=w(),{providers:o}=$(d),n=v(()=>d.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;d.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:m(()=>[l(t(N),null,{default:m(()=>[l(t(P),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"mis-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.mistral.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as U,i as V,bE as y,s as $,h as v,m as k,w as K,x as h,o as x,y as m,b as l,e as t}from"./index-Dlp4W1Zl.js";import{u as w}from"./providers-BRCa7xUS.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="mistral-ai",H=U({__name:"mistral-ai",setup(S){const{t:p}=V(),_=y(),d=w(),{providers:o}=$(d),n=v(()=>d.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;d.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:m(()=>[l(t(N),null,{default:m(()=>[l(t(P),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 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w}from"./providers-Dg3FpvfZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="moonshot-ai",H=h({__name:"moonshot-ai",setup(B){const{t:p}=U(),_=V(),d=w(),{providers:o}=y(d),n=v(()=>d.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;d.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),k([i,r],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var c,f;return x(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:m(()=>[l(t(P),null,{default:m(()=>[l(t(R),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"ms-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=u=>r.value=u),placeholder:"https://api.moonshot.cn/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as h,i as U,bE as V,s as y,h as v,m as $,w as k,x as K,o as x,y as m,b as l,e as t}from"./index-Dlp4W1Zl.js";import{u as w}from"./providers-BRCa7xUS.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="moonshot-ai",H=h({__name:"moonshot-ai",setup(B){const{t:p}=U(),_=V(),d=w(),{providers:o}=y(d),n=v(()=>d.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;d.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),k([i,r],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var c,f;return x(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:m(()=>[l(t(P),null,{default:m(()=>[l(t(R),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"ms-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=u=>r.value=u),placeholder:"https://api.moonshot.cn/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default}; diff --git a/assets/novita-ai-CMr47yM2.js b/assets/novita-ai-BTL9go8K.js similarity index 67% rename from assets/novita-ai-CMr47yM2.js rename to assets/novita-ai-BTL9go8K.js index 5b9da78d25aa0f12c96af7bbbb1af9f8e3a65888..60c45558a77efd7c049b7b8eaddc28b8b5ff025e 100644 --- a/assets/novita-ai-CMr47yM2.js +++ b/assets/novita-ai-BTL9go8K.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{d as U,i as V,bE as y,s as $,h as m,m as k,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-rD0Uu1v9.js";import{u as w}from"./providers-Dg3FpvfZ.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="novita-ai",H=U({__name:"novita-ai",setup(S){const{t:d}=V(),_=y(),v=w(),{providers:o}=$(v),n=m(()=>v.getProviderMetadata(a)),s=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;v.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"nvt-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.novita.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as U,i as V,bE as y,s as $,h as m,m as k,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-Dlp4W1Zl.js";import{u as w}from"./providers-BRCa7xUS.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="novita-ai",H=U({__name:"novita-ai",setup(S){const{t:d}=V(),_=y(),v=w(),{providers:o}=$(v),n=m(()=>v.getProviderMetadata(a)),s=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;v.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 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as F,bE as I,s as A,h as C,m as E,c6 as T,x as G,y as b,e as t}from"./index-rD0Uu1v9.js";import"./live2d-zip-loader-BdiFCiUD.js";import{u as H}from"./providers-Dg3FpvfZ.js";import{a as L,_ as j}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as J,a as Q}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as W}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";const X={flex:"~ gap-2"},Y=w({__name:"InputKeyValue",props:x({name:null,keyPlaceholder:null,valuePlaceholder:null},{propertyKey:{required:!0},propertyKeyModifiers:{},propertyValue:{required:!0},propertyValueModifiers:{}}),emits:["update:propertyKey","update:propertyValue"],setup(v){const o=v,s=U(v,"propertyKey"),u=U(v,"propertyValue");return(r,a)=>(f(),g("div",X,[m(P,{modelValue:s.value,"onUpdate:modelValue":a[0]||(a[0]=n=>s.value=n),placeholder:o.keyPlaceholder,class:"w-1/2"},null,8,["modelValue","placeholder"]),m(P,{modelValue:u.value,"onUpdate:modelValue":a[1]||(a[1]=n=>u.value=n),placeholder:o.valuePlaceholder,class:"w-1/2"},null,8,["modelValue","placeholder"])]))}}),Z={"max-w-full":""},ee={flex:"~ col gap-2"},le={class:"flex items-center gap-1 text-sm font-medium"},ae={key:0,class:"text-red-500"},te={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},oe={flex:"~ col gap-2"},re=["onClick"],se=w({__name:"FieldKeyValues",props:x({label:null,description:null,name:null,keyPlaceholder:null,valuePlaceholder:null,required:{type:Boolean},inputClass:null},{modelValue:{required:!0},modelModifiers:{}}),emits:x(["remove","add"],["update:modelValue"]),setup(v,{emit:o}){const s=v,u=o,r=U(v,"modelValue"),a=$(""),n=$("");return 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e.value[a]}return{providers:e,getProviderConfig:se,availableProviders:m,configuredProviders:t,providerMetadata:o,getProviderMetadata:U,allProvidersMetadata:re,initializeProvider:d,validateProvider:v,availableModels:c,isLoadingModels:M,modelLoadError:w,fetchModelsForProvider:P,getModelsForProvider:S,allAvailableModels:C,loadModelsForConfiguredProviders:ae,getProviderInstance:E,availableProvidersMetadata:K,availableTextGenerationsProvidersMetadata:ie,availableAudioSpeechProvidersMetadata:te,availableAudioTranscriptionProvidersMetadata:ne}});export{ge as a,$e as b,Y as c,ve as d,f as l,_e as r,Ae as u}; diff --git a/assets/queue-CdKSGkpu.js b/assets/queue-CHfe46kZ.js similarity index 90% rename from assets/queue-CdKSGkpu.js rename to assets/queue-CHfe46kZ.js index 9f6c685dcee414401641cc6dd7e0e901f7c8370f..f3c10391a8b891bc4015d2cd163ea3964c7ecab5 100644 --- a/assets/queue-CdKSGkpu.js +++ b/assets/queue-CHfe46kZ.js @@ -1 +1 @@ -import{u as o}from"./queue-EbaGahVd.js";import{d as v,g as h,m as g,c as k,o as w,a as I}from"./index-rD0Uu1v9.js";const Q=v({__name:"queue",setup(P){function i(e){return new Promise(a=>setTimeout(a,e))}const n=h(""),d=o({handlers:[async e=>{console.log("ready to play speech audio for",e)}]}),u=o({handlers:[async e=>{console.log("ready to stream speech audio for",e),d.add(e.data)}]}),c=o({handlers:[async e=>{const a=[".","?","!"];let s=!1;for(const t of a){if(!e.data.includes(t))continue;const r=e.data.indexOf(t),p=e.data.slice(0,r+1),y=e.data.slice(r+1);n.value+=p,u.add(n.value.trim()),n.value=y,s=!0}s||(n.value+=e.data)}]}),l=["Hello"," N","eko","! 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I"," am"," an"," AI"," assistant"," trained"," to"," help"," with"," a"," variety"," of"," tasks"," such"," as"," answering"," questions",","," providing"," information",","," giving"," recommendations",","," and"," more",". How"," can"," I"," assist"," you"," today","?","Hello"," N","eko",","," I"," am"," an"," AI"," assistant","."," I"," can"," help"," answer"," questions",","," provide"," information",","," assist"," with"," tasks",","," and"," engage"," in"," conversation","."," How"," can"," I"," assist"," you"," today","?"];async function f(){for(const e of l)await i(100),c.add(e)}async function m(){f()}return g(()=>{m()}),(e,a)=>(w(),k("div",null,a[0]||(a[0]=[I("div",null,null,-1)])))}});export{Q as default}; diff --git a/assets/queue-EbaGahVd.js b/assets/queue-DW8o1RLT.js similarity index 91% rename from assets/queue-EbaGahVd.js rename to assets/queue-DW8o1RLT.js index a81729c6a8c71562447fc8d9c28218f7385136f2..aaa5549b855dc822d023a2aa30b22ca313385954 100644 --- a/assets/queue-EbaGahVd.js +++ b/assets/queue-DW8o1RLT.js @@ -1 +1 @@ -import{g as l}from"./index-rD0Uu1v9.js";function m(f){const t=l([]),a=l(!1),d={add:[],pick:[],processing:[],error:[],processed:[],done:[]},s={};function c(n,e){d[n].push(e)}function r(n,...e){d[n].forEach(i=>{i(...e)})}function h(n,e){s[n]=s[n]||[],s[n].push(e)}function p(n,...e){(s[n]||[]).forEach(i=>{i(...e)})}async function v(n){t.value.push(n),r("add",n)}function g(){const n=t.value.shift();if(n)return r("pick",n),n}async function u(){if(a.value)return;const n=g();if(n){a.value=!0;for(const e of f.handlers){r("processing",n,e);try{const o=await e({data:n,itemsToBeProcessed:()=>t.value.length,emit:p});r("processed",n,o,e)}catch(o){r("error",n,o,e);continue}}a.value=!1,r("done",n),t.value.length>0&&u()}}return c("add",u),c("done",u),{add:v,on:c,onHandlerEvent:h,queue:t}}export{m as u}; +import{g as l}from"./index-Dlp4W1Zl.js";function m(f){const t=l([]),a=l(!1),d={add:[],pick:[],processing:[],error:[],processed:[],done:[]},s={};function c(n,e){d[n].push(e)}function r(n,...e){d[n].forEach(i=>{i(...e)})}function h(n,e){s[n]=s[n]||[],s[n].push(e)}function p(n,...e){(s[n]||[]).forEach(i=>{i(...e)})}async function v(n){t.value.push(n),r("add",n)}function g(){const n=t.value.shift();if(n)return r("pick",n),n}async function u(){if(a.value)return;const n=g();if(n){a.value=!0;for(const e of f.handlers){r("processing",n,e);try{const o=await e({data:n,itemsToBeProcessed:()=>t.value.length,emit:p});r("processed",n,o,e)}catch(o){r("error",n,o,e);continue}}a.value=!1,r("done",n),t.value.length>0&&u()}}return c("add",u),c("done",u),{add:v,on:c,onHandlerEvent:h,queue:t}}export{m as u}; diff --git a/assets/queues-kGVt0l-U.js b/assets/queues-CJq1hDiQ.js similarity index 89% rename from assets/queues-kGVt0l-U.js rename to assets/queues-CJq1hDiQ.js index 33ae907edf4e38e3f285c258dce3572312f19645..8b1a7ca37a2f7468c10a5e85a590ad108feb06d3 100644 --- a/assets/queues-kGVt0l-U.js +++ b/assets/queues-CJq1hDiQ.js @@ -1 +1 @@ -import{d as m,bF as p,bG as v,g as u,w as y,A as k,bJ as w,o as b,c as h,n as E}from"./index-rD0Uu1v9.js";import{E as f}from"./live2d-zip-loader-BdiFCiUD.js";import{u as l}from"./queue-EbaGahVd.js";const D=m({__name:"BasicTextarea",props:{modelValue:{default:""},modelModifiers:{}},emits:p(["submit"],["update:modelValue"]),setup(o,{emit:n}){const e=n,t=v(o,"modelValue"),a=u(),s=u("auto");function i(r){r.code==="Enter"&&!r.shiftKey&&(r.preventDefault(),e("submit",t.value))}return y(t,()=>{s.value="auto",requestAnimationFrame(()=>{a.value&&(s.value=`${a.value.scrollHeight}px`)})},{immediate:!0}),(r,d)=>k((b(),h("textarea",{ref_key:"textareaRef",ref:a,"onUpdate:modelValue":d[0]||(d[0]=c=>t.value=c),style:E({height:s.value}),onKeydown:i},null,36)),[[w,t.value]])}}),M="<|llm_inference_end|>";function A(o){function n(e){for(const t of f)if(e.includes(t))return{ok:!0,emotion:t};return{ok:!1,emotion:""}}return l({handlers:[async e=>{if(f.includes(e.data)){e.emit("emotion",e.data),await o.add(e.data);return}{const{ok:t,emotion:a}=n(e.data);t&&(e.emit("emotion",a),await o.add(a))}}]})}function N(){function o(e){if(!/<\|DELAY:\d+\|>/i.test(e))return{ok:!1,delay:0};const t=/<\|DELAY:(\d+)\|>/i.exec(e),a=t==null?void 0:t[1];if(!a)return{ok:!1,delay:0};const s=Number.parseFloat(a);return s<=0||Number.isNaN(s)?{ok:!0,delay:0}:{ok:!0,delay:s}}function n(e){return new Promise(t=>setTimeout(t,e))}return l({handlers:[async e=>{const{ok:t,delay:a}=o(e.data);t&&(e.emit("delay",a),await n(a*1e3))}]})}function T(o){const n=u("");return l({handlers:[async e=>{if(e.data===M){const a=n.value.trim();a&&await o.add(a),n.value="";return}const t=/[.?!]/;for(n.value+=e.data;n.value;){const a=t.exec(n.value);if(!a||typeof a.index>"u")break;const s=n.value.slice(0,a.index+1),i=n.value.slice(a.index+1);await o.add(s),n.value=i}}]})}export{D as _,A as a,N as b,M as l,T as u}; +import{d as m,bF as p,bG as v,g as u,w as y,A as k,bJ as w,o as b,c as h,n as E}from"./index-Dlp4W1Zl.js";import{E as f}from"./live2d-zip-loader-C5j9stxV.js";import{u as l}from"./queue-DW8o1RLT.js";const D=m({__name:"BasicTextarea",props:{modelValue:{default:""},modelModifiers:{}},emits:p(["submit"],["update:modelValue"]),setup(o,{emit:n}){const e=n,t=v(o,"modelValue"),a=u(),s=u("auto");function i(r){r.code==="Enter"&&!r.shiftKey&&(r.preventDefault(),e("submit",t.value))}return y(t,()=>{s.value="auto",requestAnimationFrame(()=>{a.value&&(s.value=`${a.value.scrollHeight}px`)})},{immediate:!0}),(r,d)=>k((b(),h("textarea",{ref_key:"textareaRef",ref:a,"onUpdate:modelValue":d[0]||(d[0]=c=>t.value=c),style:E({height:s.value}),onKeydown:i},null,36)),[[w,t.value]])}}),M="<|llm_inference_end|>";function A(o){function n(e){for(const t of f)if(e.includes(t))return{ok:!0,emotion:t};return{ok:!1,emotion:""}}return l({handlers:[async e=>{if(f.includes(e.data)){e.emit("emotion",e.data),await o.add(e.data);return}{const{ok:t,emotion:a}=n(e.data);t&&(e.emit("emotion",a),await o.add(a))}}]})}function N(){function o(e){if(!/<\|DELAY:\d+\|>/i.test(e))return{ok:!1,delay:0};const 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b/assets/speech-BzDSuaZq.js @@ -1 +1 @@ -import{d as O,g as V,m as ne,w as Z,p as ie,c as i,o as n,bx as H,by as Y,a as e,n as me,z as C,bF as K,bG as J,A as j,bA as pe,C as $,D as k,b as S,y as N,bn as ee,h as fe,cc as ge,bJ as W,x as X,i as xe,s as le,bE as be,H as he,bw as ye,e as t,bo as ke,ad as I,bI as we}from"./index-rD0Uu1v9.js";import{_ as oe,a as ae,b as _e}from"./TestDummyMarker.vue_vue_type_script_setup_true_lang-DtA_pyWZ.js";import{_ as Se}from"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import{R as Ve,a as Me}from"./RadioCardDetailManySelect-cGsz75Pf.js";import{_ as Ce}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import{_ as $e}from"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";import"./live2d-zip-loader-BdiFCiUD.js";import{u as Pe}from"./providers-Dg3FpvfZ.js";import{u as Ue,g as Le}from"./speech-CUKri9wm.js";import{b as re}from"./route-block-B_A1xBdJ.js";const qe=O({__name:"AudioSpectrum",props:{stream:null,bars:{default:32},minFreq:{default:60},maxFreq:{default:4e3}},setup(o){const l=o,x=V(Array.from({length:l.bars}).fill(0));ne(()=>{p()}),Z(()=>l.stream,()=>{p()});function p(){if(!l.stream)return;const c=new(window.AudioContext||window.webkitAudioContext),g=c.createMediaStreamSource(l.stream),v=c.createAnalyser();v.fftSize=2048,g.connect(v);const b=v.frequencyBinCount,M=new Uint8Array(b),f=c.sampleRate/v.fftSize,w=Math.floor(l.minFreq/f),P=Math.floor(l.maxFreq/f),L=P-w,A=Math.floor(L/l.bars),E=()=>{try{requestAnimationFrame(E),v.getByteFrequencyData(M);const q=Array.from({length:l.bars}).fill(0);for(let T=0;Tie(c.$slots,"default",{frequencies:x.value})}}),Ae={"h-full":"",flex:"","items-center":"","gap-1":""},Re=5,Ee=O({__name:"AudioSpectrumVisualizer",props:{frequencies:null,barsClass:null},setup(o){const l=o;function x(c,g){return .1+(1-.1)*(c/g)}function p(c,g){const v=x(g,l.frequencies.length);return 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r=-1;for(;++r",OElig:"Œ",oelig:"œ",Scaron:"Š",scaron:"š",Yuml:"Ÿ",circ:"ˆ",tilde:"˜",ensp:" ",emsp:" ",thinsp:" ",zwnj:"‌",zwj:"‍",lrm:"‎",rlm:"‏",ndash:"–",mdash:"—",lsquo:"‘",rsquo:"’",sbquo:"‚",ldquo:"“",rdquo:"”",bdquo:"„",dagger:"†",Dagger:"‡",permil:"‰",lsaquo:"‹",rsaquo:"›",euro:"€"},Oe=["cent","copy","divide","gt","lt","not","para","times"],B={}.hasOwnProperty,R={};let b;for(b in M)B.call(M,b)&&(R[M[b]]=b);const Pe=/[^\dA-Za-z]/;function qe(e,t,r,n){const a=String.fromCharCode(e);if(B.call(R,a)){const i=R[a],u="&"+i;return r&&Ee.includes(i)&&!Oe.includes(i)&&(!n||t&&t!==61&&Pe.test(String.fromCharCode(t)))?u:u+";"}return""}function Me(e,t,r){let n=Ae(e,t,r.omitOptionalSemicolons),a;if((r.useNamedReferences||r.useShortestReferences)&&(a=qe(e,t,r.omitOptionalSemicolons,r.attribute)),(r.useShortestReferences||!a)&&r.useShortestReferences){const i=we(e,t,r.omitOptionalSemicolons);i.length/g,Ue=[">"];function $e(e){return""}function je(e){return""}const Ne=[" ",` `," 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0:$.code)||"en-US"},[C("voice",{name:o.id,gender:o.gender||"neutral"},[Object.entries(ne).filter(([_e,se])=>se!=null).length>0?C("prosody",{pitch:l!=null?l>0?`+${l}%`:`-${l}%`:void 0,rate:g!=null?g!==1?`${g}`:"1":void 0,volume:d!=null?d>0?`+${d}%`:`${d}%`:void 0},[s]):s])]);return Ge(ae)}return{activeSpeechProvider:t,activeSpeechModel:r,activeSpeechVoice:a,activeSpeechVoiceId:n,pitch:i,rate:u,ssmlEnabled:f,selectedLanguage:U,isLoadingSpeechProviderVoices:p,speechProviderError:x,availableVoices:v,modelSearchQuery:w,availableSpeechProvidersMetadata:Y,supportsSSML:Q,availableLanguages:W,availableVoicesForLanguage:J,supportsModelListing:G,providerModels:E,isLoadingActiveProviderModels:X,activeProviderModelError:Z,filteredModels:_,speech:te,loadVoicesForProvider:P,getVoicesForProvider:ee,generateSSML:re,isSpeechProvider:O}});export{N as c,ge as g,Je as s,et as u}; diff --git a/assets/stage-DniKT8GJ.js b/assets/stage-DPabq-4P.js similarity index 84% rename from assets/stage-DniKT8GJ.js rename to assets/stage-DPabq-4P.js index d29995096a3a8a905de673d7a3f54b76b8a235ed..c36b721ccd3268d5159dea5694e7e54d233d4a0f 100644 --- a/assets/stage-DniKT8GJ.js +++ b/assets/stage-DPabq-4P.js @@ -1 +1 @@ -import{d as p,u as s,c,b as d,r as i,n as m,e,o as l}from"./index-rD0Uu1v9.js";const x=p({__name:"stage",setup(u){const{top:t,right:o,bottom:a,left:n}=s();return(f,_)=>{const r=i("RouterView");return l(),c("main",{text:"gray-700 dark:gray-200","h-full":"","font-cuteen":"",style:m({paddingTop:`${e(t)}px`,paddingRight:`${e(o)}px`,paddingBottom:`${e(a)}px`,paddingLeft:`${e(n)}px`})},[d(r)],4)}}});export{x as default}; +import{d as p,u as s,c,b as d,r as i,n as m,e,o as l}from"./index-Dlp4W1Zl.js";const x=p({__name:"stage",setup(u){const{top:t,right:o,bottom:a,left:n}=s();return(f,_)=>{const r=i("RouterView");return l(),c("main",{text:"gray-700 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P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="together-ai",H=h({__name:"together-ai",setup(S){const{t:d}=y(),_=U(),m=z(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,r;m.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((r=o.value[a])==null?void 0:r.baseUrl)||""}),k([i,s],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:s.value||""}});function g(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,r)=>{var c,f;return K(),x(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:p(()=>{var u;return[l(t(M),{modelValue:i.value,"onUpdate:modelValue":r[0]||(r[0]=b=>i.value=b),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"togetherapi-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:s.value,"onUpdate:modelValue":r[1]||(r[1]=u=>s.value=u),placeholder:"https://api.together.xyz/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as h,i as y,bE as U,s as V,h as v,m as $,w as k,x,o as K,y as p,b as l,e as t}from"./index-Dlp4W1Zl.js";import{u as z}from"./providers-BRCa7xUS.js";import{_ as w,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="together-ai",H=h({__name:"together-ai",setup(S){const{t:d}=y(),_=U(),m=z(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,r;m.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((r=o.value[a])==null?void 0:r.baseUrl)||""}),k([i,s],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:s.value||""}});function g(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,r)=>{var c,f;return K(),x(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:p(()=>{var u;return[l(t(M),{modelValue:i.value,"onUpdate:modelValue":r[0]||(r[0]=b=>i.value=b),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"togetherapi-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:s.value,"onUpdate:modelValue":r[1]||(r[1]=u=>s.value=u),placeholder:"https://api.together.xyz/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default}; diff --git a/assets/useIconAnimation-BDdHp70p.js b/assets/useIconAnimation-DMJpspm5.js similarity index 67% rename from assets/useIconAnimation-BDdHp70p.js rename to assets/useIconAnimation-DMJpspm5.js index 43b088cd879434897263d0d4e01287a21bd4fc1a..2028a1c60fc00d78a8b146f14e1ac20173dcca0c 100644 --- a/assets/useIconAnimation-BDdHp70p.js +++ b/assets/useIconAnimation-DMJpspm5.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{g as t,v as u,h as r,m,H as c}from"./index-rD0Uu1v9.js";function p(s){const n=t(!1),o=t(!1),a=t(s),e=u(),i=r(()=>o.value&&!e.disableTransitions&&e.usePageSpecificTransitions);return m(()=>{o.value=!0,requestAnimationFrame(()=>{n.value=!0})}),c(()=>{n.value=!1,o.value=!1}),{iconAnimationStarted:n,showIconAnimation:i,animationIcon:a}}export{p as u}; +import"./live2d-zip-loader-C5j9stxV.js";import{g as t,v as u,h as r,m,H as c}from"./index-Dlp4W1Zl.js";function p(s){const n=t(!1),o=t(!1),a=t(s),e=u(),i=r(()=>o.value&&!e.disableTransitions&&e.usePageSpecificTransitions);return m(()=>{o.value=!0,requestAnimationFrame(()=>{n.value=!0})}),c(()=>{n.value=!1,o.value=!1}),{iconAnimationStarted:n,showIconAnimation:i,animationIcon:a}}export{p as u}; diff --git a/assets/worker-KF4IHpL4.js b/assets/worker-D9VCBMJ0.js similarity index 51% rename from assets/worker-KF4IHpL4.js rename to assets/worker-D9VCBMJ0.js index 1b8622271c0b5514b36e634925aa820cfe7f4650..ab478a44e71501319c6161a02d146992ac793d62 100644 --- a/assets/worker-KF4IHpL4.js +++ b/assets/worker-D9VCBMJ0.js @@ -1,46 +1,46 @@ -var bx=Object.defineProperty;var vx=(bs,Sr,Ln)=>Sr in bs?bx(bs,Sr,{enumerable:!0,configurable:!0,writable:!0,value:Ln}):bs[Sr]=Ln;var re=(bs,Sr,Ln)=>vx(bs,typeof Sr!="symbol"?Sr+"":Sr,Ln);(function(){"use strict";const bs=new Map,Sr=[],Ln=(e,r,t)=>{if(r&&typeof r.init=="function"&&typeof r.createInferenceSessionHandler=="function"){const s=bs.get(e);if(s===void 0)bs.set(e,{backend:r,priority:t});else{if(s.priority>t)return;if(s.priority===t&&s.backend!==r)throw new Error(`cannot register backend "${e}" using priority ${t}`)}if(t>=0){const i=Sr.indexOf(e);i!==-1&&Sr.splice(i,1);for(let n=0;n{const r=bs.get(e);if(!r)return"backend not found.";if(r.initialized)return r.backend;if(r.aborted)return r.error;{const t=!!r.initPromise;try{return t||(r.initPromise=r.backend.init(e)),await r.initPromise,r.initialized=!0,r.backend}catch(s){return t||(r.error=`${s}`,r.aborted=!0),r.error}finally{delete r.initPromise}}},cb=async e=>{const r=e.executionProviders||[],t=r.map(l=>typeof 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TypeError(`unsupported type "${i}" to create tensor from MLTensor`);this.mlTensorData=r.mlTensor,this.downloader=r.download,this.disposer=r.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let a,l;if(typeof r=="string")if(i=r,l=s,r==="string"){if(!Array.isArray(t))throw new TypeError("A string tensor's data must be a string array.");a=t}else{const d=zn.get(r);if(d===void 0)throw new TypeError(`Unsupported tensor type: ${r}.`);if(Array.isArray(t)){if(r==="float16"&&d===Uint16Array||r==="uint4"||r==="int4")throw new TypeError(`Creating a ${r} tensor from number array is not supported. 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e=="number"?1:e[2];if(r>this.limits.maxComputeWorkgroupSizeX||t>this.limits.maxComputeWorkgroupSizeY||s>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(r*t*s>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let i=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,n=i?`@builtin(global_invocation_id) global_id : vec3, @builtin(workgroup_id) workgroup_id : vec3, @builtin(local_invocation_index) local_idx : u32, @builtin(local_invocation_id) local_id : vec3`:`@builtin(global_invocation_id) global_id : vec3, @@ -58,46 +58,46 @@ var bx=Object.defineProperty;var vx=(bs,Sr,Ln)=>Sr in bs?bx(bs,Sr,{enumerable:!0 struct Uniforms { ${e.join(", ")} }; @group(0) @binding(${this.variableIndex}) var uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(e=>e.impl()).join(` `)+this.internalVariables.map(e=>e.impl()).join(` -`)}get variablesInfo(){if(this.uniforms.length===0)return;let e=r=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(r)];return this.uniforms.map(r=>[e(r.type),r.length??1])}},Bp=(e,r)=>new zp(e,r)}),Rp,Vd,Np,jp,Up,Vp,Nr,Wp,Gp,Gs=je(()=>{pt(),yt(),Yt(),vt(),Rp=(e,r)=>{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.");if(r.length!==0&&r.length!==e[0].dims.length)throw new Error(`perm size ${r.length} does not match input rank ${e[0].dims.length}`)},Vd=(e,r)=>r.length!==0?r:[...new Array(e).keys()].reverse(),Np=(e,r)=>xe.sortBasedOnPerm(e,Vd(e.length,r)),jp=(e,r,t,s)=>{let i=`fn perm(i: ${s.type.indices}) -> ${t.type.indices} { - var a: ${t.type.indices};`;for(let n=0;n{let t=[],s=[];for(let i=0;i{let t=0;for(let s=0;s{let t=e.dataType,s=e.dims.length,i=Vd(s,r),n=Np(e.dims,i),o=e.dims,a=n,l=s<2||Vp(i,e.dims),d;if(l)return d=_=>{let P=$e("input",t,o,4),A=tt("output",t,a,4);return` - ${_.registerUniform("output_size","u32").declareVariables(P,A)} - ${_.mainStart()} - ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} +`)}get variablesInfo(){if(this.uniforms.length===0)return;let e=r=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(r)];return this.uniforms.map(r=>[e(r.type),r.length??1])}},Rp=(e,r)=>new Bp(e,r)}),Np,Wd,jp,Up,Vp,Wp,Nr,Gp,Kp,Gs=Ue(()=>{pt(),Mt(),Yt(),xt(),Np=(e,r)=>{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.");if(r.length!==0&&r.length!==e[0].dims.length)throw new Error(`perm size ${r.length} does not match input rank ${e[0].dims.length}`)},Wd=(e,r)=>r.length!==0?r:[...new Array(e).keys()].reverse(),jp=(e,r)=>xe.sortBasedOnPerm(e,Wd(e.length,r)),Up=(e,r,t,s)=>{let i=`fn perm(i: ${s.type.indices}) -> ${t.type.indices} { + var a: ${t.type.indices};`;for(let n=0;n{let t=[],s=[];for(let i=0;i{let t=0;for(let s=0;s{let t=e.dataType,s=e.dims.length,i=Wd(s,r),n=jp(e.dims,i),o=e.dims,a=n,l=s<2||Wp(i,e.dims),d;if(l)return d=f=>{let P=$e("input",t,o,4),A=tt("output",t,a,4);return` + ${f.registerUniform("output_size","u32").declareVariables(P,A)} + ${f.mainStart()} + ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} output[global_idx] = input[global_idx]; - }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let _=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(_/64/4)},programUniforms:[{type:12,data:Math.ceil(_/4)}]}},getShaderSource:d};let{newShape:p,newPerm:u}=Up(e.dims,i),h=xe.areEqual(u,[2,3,1]),w=xe.areEqual(u,[3,1,2]);if(p.length===2||h||w){o=h?[p[0],p[1]*p[2]]:w?[p[0]*p[1],p[2]]:p,a=[o[1],o[0]];let _=16;return d=P=>{let A=$e("a",t,o.length),v=tt("output",t,a.length);return` - ${P.registerUniform("output_size","u32").declareVariables(A,v)} - var tile : array, ${_}>; - ${P.mainStart([_,_,1])} - let stride = (uniforms.output_shape[1] - 1) / ${_} + 1; + }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let f=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(f/64/4)},programUniforms:[{type:12,data:Math.ceil(f/4)}]}},getShaderSource:d};let{newShape:p,newPerm:u}=Vp(e.dims,i),h=xe.areEqual(u,[2,3,1]),w=xe.areEqual(u,[3,1,2]);if(p.length===2||h||w){o=h?[p[0],p[1]*p[2]]:w?[p[0]*p[1],p[2]]:p,a=[o[1],o[0]];let f=16;return d=P=>{let A=$e("a",t,o.length),b=tt("output",t,a.length);return` + ${P.registerUniform("output_size","u32").declareVariables(A,b)} + var tile : array, ${f}>; + ${P.mainStart([f,f,1])} + let stride = (uniforms.output_shape[1] - 1) / ${f} + 1; let workgroup_id_x = workgroup_index % stride; let workgroup_id_y = workgroup_index / stride; - let input_col = workgroup_id_y * ${_}u + local_id.x; - let input_row = workgroup_id_x * ${_}u + local_id.y; + let input_col = workgroup_id_y * ${f}u + local_id.x; + let input_row = workgroup_id_x * ${f}u + local_id.y; if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) { tile[local_id.y][local_id.x] = ${A.getByIndices(`${A.type.indices}(input_row, input_col)`)}; } workgroupBarrier(); - let output_col = workgroup_id_x * ${_}u + local_id.x; - let output_row = workgroup_id_y * ${_}u + local_id.y; + let output_col = workgroup_id_x * ${f}u + local_id.x; + let output_row = workgroup_id_y * ${f}u + local_id.y; if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) { - ${v.setByIndices(`${v.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")} + ${b.setByIndices(`${b.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")} } - }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let P=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(a[1]/_),y:Math.ceil(a[0]/_)},programUniforms:[{type:12,data:P},...nt(o,a)]}},getShaderSource:d}}return d=_=>{let P=$e("a",t,o.length),A=tt("output",t,a.length);return` - ${_.registerUniform("output_size","u32").declareVariables(P,A)} + }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let P=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(a[1]/f),y:Math.ceil(a[0]/f)},programUniforms:[{type:12,data:P},...nt(o,a)]}},getShaderSource:d}}return d=f=>{let P=$e("a",t,o.length),A=tt("output",t,a.length);return` + ${f.registerUniform("output_size","u32").declareVariables(P,A)} - ${jp(i,s,P,A)} + ${Up(i,s,P,A)} - ${_.mainStart()} - ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${f.mainStart()} + ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let indices = ${A.offsetToIndices("global_idx")}; let aIndices = perm(indices); ${A.setByOffset("global_idx",P.getByIndices("aIndices"))} - }`},{name:"Transpose",shaderCache:{hint:`${r}`,inputDependencies:["rank"]},getRunData:()=>{let _=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:[{type:12,data:_},...nt(o,a)]}},getShaderSource:d}},Wp=(e,r)=>{Rp(e.inputs,r.perm),e.compute(Nr(e.inputs[0],r.perm))},Gp=e=>Dt({perm:e.perm})}),Kp,Hp,qp,Qp,Xp,Jp,Yp,Zp,eh,th,ns,rh,sh,nh,ih,oh,ah,lh,dh,ch,uh,Hb=je(()=>{pt(),yt(),vt(),Gd(),Gs(),Kp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},Hp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},qp={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Qp={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Xp=(e,r)=>{let t=[];for(let s=r-e;s{let t=[],s=e.length;for(let n=0;ne[n]);return[t,i]},Yp=(e,r)=>{let t=e.length+r.length,s=[],i=0;for(let n=0;n{for(let t=0;t{let t=[];if(!Zp(e,r)){for(let s=0;st.push(s))}return t},th=(e,r,t,s,i,n,o)=>{let a=t[0].dims,l=xe.size(n),d=xe.size(o),p=$e("_A",t[0].dataType,a),u=tt("output",i,n),h=64;l===1&&(h=256);let w=` + }`},{name:"Transpose",shaderCache:{hint:`${r}`,inputDependencies:["rank"]},getRunData:()=>{let f=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:[{type:12,data:f},...nt(o,a)]}},getShaderSource:d}},Gp=(e,r)=>{Np(e.inputs,r.perm),e.compute(Nr(e.inputs[0],r.perm))},Kp=e=>Dt({perm:e.perm})}),Hp,qp,Qp,Xp,Jp,Yp,Zp,eh,th,rh,ns,sh,nh,ih,oh,ah,lh,dh,ch,uh,ph,nv=Ue(()=>{pt(),Mt(),xt(),Kd(),Gs(),Hp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},qp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},Qp={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Xp={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Jp=(e,r)=>{let t=[];for(let s=r-e;s{let t=[],s=e.length;for(let n=0;ne[n]);return[t,i]},Zp=(e,r)=>{let t=e.length+r.length,s=[],i=0;for(let n=0;n{for(let t=0;t{let t=[];if(!eh(e,r)){for(let s=0;st.push(s))}return t},rh=(e,r,t,s,i,n,o)=>{let a=t[0].dims,l=xe.size(n),d=xe.size(o),p=$e("_A",t[0].dataType,a),u=tt("output",i,n),h=64;l===1&&(h=256);let w=` var aBestValues : array; - `,_=P=>` + `,f=P=>` ${P.registerUniform("reduceSize","u32").declareVariables(p,u)} ${w} fn DIV_CEIL(a : u32, b : u32) -> u32 { @@ -108,11 +108,11 @@ var bx=Object.defineProperty;var vx=(bs,Sr,Ln)=>Sr in bs?bx(bs,Sr,{enumerable:!0 let outputIndex = global_idx / ${h}; let offset = outputIndex * uniforms.reduceSize; - var bestValue = f32(${qp[s]}); + var bestValue = f32(${Qp[s]}); let Length = uniforms.reduceSize; for (var k = local_idx; k < Length; k = k + ${h}) { let candidate = f32(${p.getByOffset("offset + k")}); - bestValue = ${Kp[s]}; + bestValue = ${Hp[s]}; } aBestValues[local_idx] = bestValue; workgroupBarrier(); @@ -123,7 +123,7 @@ var bx=Object.defineProperty;var vx=(bs,Sr,Ln)=>Sr in bs?bx(bs,Sr,{enumerable:!0 let interval = DIV_CEIL(reduceSize, 2u); if (local_idx < currentSize) { let candidate = aBestValues[local_idx + interval]; - bestValue = ${Hp[s]}; + bestValue = ${qp[s]}; aBestValues[local_idx] = bestValue; } reduceSize = interval; @@ -131,42 +131,42 @@ var bx=Object.defineProperty;var vx=(bs,Sr,Ln)=>Sr in bs?bx(bs,Sr,{enumerable:!0 } if (local_idx == 0u) { - ${u.setByOffset("outputIndex",`${s==="mean"?`${u.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${u.type.storage}(${Qp[s]})`}`)}; + ${u.setByOffset("outputIndex",`${s==="mean"?`${u.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${u.type.storage}(${Xp[s]})`}`)}; } - }`;return{name:e,shaderCache:{hint:`${r};${h}`,inputDependencies:["type"]},getShaderSource:_,getRunData:()=>({outputs:[{dims:n,dataType:i}],dispatchGroup:{x:l},programUniforms:[{type:12,data:d}]})}},ns=(e,r,t,s)=>{let i=e.inputs.length===1?t:Wd(e.inputs,t),n=i.axes;n.length===0&&!i.noopWithEmptyAxes&&(n=e.inputs[0].dims.map((w,_)=>_));let o=xe.normalizeAxes(n,e.inputs[0].dims.length),a=o,l=e.inputs[0],d=eh(a,e.inputs[0].dims.length);d.length>0&&(l=e.compute(Nr(e.inputs[0],d),{inputs:[0],outputs:[-1]})[0],a=Xp(a.length,l.dims.length));let[p,u]=Jp(l.dims,a),h=p;i.keepDims&&(h=Yp(p,o)),e.compute(th(r,i.cacheKey,[l],s,e.inputs[0].dataType,h,u),{inputs:[l]})},rh=(e,r)=>{ns(e,"ReduceMeanShared",r,"mean")},sh=(e,r)=>{ns(e,"ReduceL1Shared",r,"l1")},nh=(e,r)=>{ns(e,"ReduceL2Shared",r,"l2")},ih=(e,r)=>{ns(e,"ReduceLogSumExpShared",r,"logSumExp")},oh=(e,r)=>{ns(e,"ReduceMaxShared",r,"max")},ah=(e,r)=>{ns(e,"ReduceMinShared",r,"min")},lh=(e,r)=>{ns(e,"ReduceProdShared",r,"prod")},dh=(e,r)=>{ns(e,"ReduceSumShared",r,"sum")},ch=(e,r)=>{ns(e,"ReduceSumSquareShared",r,"sumSquare")},uh=(e,r)=>{ns(e,"ReduceLogSumShared",r,"logSum")}}),is,ph,Ta,Wd,os,hh,mh,fh,_h,gh,wh,yh,Mh,bh,vh,as,xh,Th,Eh,Ph,Ch,Sh,$h,kh,Ih,Ah,Gd=je(()=>{pt(),yt(),Yt(),vt(),Hb(),is=e=>{if(!e||e.length===0||e.length>2)throw new Error("Reduce op requires 1 or 2 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i=e.inputs.length===1?t:Gd(e.inputs,t),n=i.axes;n.length===0&&!i.noopWithEmptyAxes&&(n=e.inputs[0].dims.map((w,f)=>f));let o=xe.normalizeAxes(n,e.inputs[0].dims.length),a=o,l=e.inputs[0],d=th(a,e.inputs[0].dims.length);d.length>0&&(l=e.compute(Nr(e.inputs[0],d),{inputs:[0],outputs:[-1]})[0],a=Jp(a.length,l.dims.length));let[p,u]=Yp(l.dims,a),h=p;i.keepDims&&(h=Zp(p,o)),e.compute(rh(r,i.cacheKey,[l],s,e.inputs[0].dataType,h,u),{inputs:[l]})},sh=(e,r)=>{ns(e,"ReduceMeanShared",r,"mean")},nh=(e,r)=>{ns(e,"ReduceL1Shared",r,"l1")},ih=(e,r)=>{ns(e,"ReduceL2Shared",r,"l2")},oh=(e,r)=>{ns(e,"ReduceLogSumExpShared",r,"logSumExp")},ah=(e,r)=>{ns(e,"ReduceMaxShared",r,"max")},lh=(e,r)=>{ns(e,"ReduceMinShared",r,"min")},dh=(e,r)=>{ns(e,"ReduceProdShared",r,"prod")},ch=(e,r)=>{ns(e,"ReduceSumShared",r,"sum")},uh=(e,r)=>{ns(e,"ReduceSumSquareShared",r,"sumSquare")},ph=(e,r)=>{ns(e,"ReduceLogSumShared",r,"logSum")}}),is,hh,Ta,Gd,os,mh,_h,fh,gh,wh,yh,Mh,bh,vh,xh,as,Th,Eh,Ph,Ch,Sh,$h,kh,Ih,Ah,Fh,Kd=Ue(()=>{pt(),Mt(),Yt(),xt(),nv(),is=e=>{if(!e||e.length===0||e.length>2)throw new Error("Reduce op requires 1 or 2 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input_indices: ${v.type.indices}; + var input_indices: ${b.type.indices}; let output_indices = ${y.offsetToIndices("global_idx")}; ${A.join(` `)} - ${S[0]} // init ops for reduce max/min - ${S[1]} - ${x} - ${S[3]} - ${S.length===4?y.setByOffset("global_idx","value"):S.slice(4).join(` + ${$[0]} // init ops for reduce max/min + ${$[1]} + ${T} + ${$[3]} + ${$.length===4?y.setByOffset("global_idx","value"):$.slice(4).join(` `)} - }`},getRunData:()=>({outputs:[{dims:l,dataType:n}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:[{type:12,data:_},...nt(d,l)]})}},Wd=(e,r)=>{let t=[];return e[1].dims[0]>0&&e[1].getBigInt64Array().forEach(s=>t.push(Number(s))),Dt({axes:t,keepDims:r.keepDims,noopWithEmptyAxes:r.noopWithEmptyAxes})},os=(e,r,t,s)=>{let 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t=(s,i,n)=>{let o=[];for(let a=0;a=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(` + }`},getRunData:()=>({outputs:[{dims:l,dataType:n}],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:[{type:12,data:f},...nt(d,l)]})}},Gd=(e,r)=>{let t=[];return e[1].dims[0]>0&&e[1].getBigInt64Array().forEach(s=>t.push(Number(s))),Dt({axes:t,keepDims:r.keepDims,noopWithEmptyAxes:r.noopWithEmptyAxes})},os=(e,r,t,s)=>{let i=e.inputs,n=i.length===1?t:Gd(i,t);e.compute(Ta(r,{hint:n.cacheKey,inputDependencies:["rank"]},[i[0]],n.noopWithEmptyAxes&&n.axes.length===0?hh:s,n.axes,i[0].dataType,n.keepDims,n.noopWithEmptyAxes),{inputs:[0]})},mh=(e,r)=>{is(e.inputs),os(e,"ReduceLogSum",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += ${t.getByIndices("input_indices")};`,"value = log(value);"])},_h=(e,r)=>{is(e.inputs),os(e,"ReduceL1",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += 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n=0;n1024},Th=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?yh(e,r):sh(e,r)},Eh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?_h(e,r):nh(e,r)},Ph=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?fh(e,r):ih(e,r)},Ch=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?gh(e,r):oh(e,r)},Sh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?wh(e,r):ah(e,r)},$h=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?Mh(e,r):lh(e,r)},kh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?bh(e,r):dh(e,r)},Ih=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?vh(e,r):ch(e,r)},Ah=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?xh(e,r):uh(e,r)},Fh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?mh(e,r):ph(e,r)}}),Hd,Oh,Dh,qd,iv=Ue(()=>{pt(),Yt(),Kd(),Hd=e=>{if(!e||e.length===0||e.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(e[0].dataType!==1)throw new Error("Invalid input type.")},Oh=(e,r)=>{Hd(e.inputs);let t=(s,i,n)=>{let o=[];for(let a=0;a=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(` `)}`,`var value = ${s.getByIndices("input_indices")}; var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLastIndex>0?"<=":"<"} value) { value = ${s.getByIndices("input_indices")}; best_index = i32(last_index); - }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ta("ArgMin",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},Oh=(e,r)=>{Kd(e.inputs);let t=(s,i,n)=>{let o=[];for(let a=0;a=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(` + }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ta("ArgMin",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},Dh=(e,r)=>{Hd(e.inputs);let t=(s,i,n)=>{let o=[];for(let a=0;a=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(` `)}`,`var value = 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0");if(i.dims[0]!==s.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let u=i.dims[0]/3,h=u,w=h;if(r.qkvHiddenSizes.length>0){if(r.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let S of r.qkvHiddenSizes)if(S%r.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");u=r.qkvHiddenSizes[0],h=r.qkvHiddenSizes[1],w=r.qkvHiddenSizes[2]}let _=d;if(u!==h)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==u+h+w)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let P=0;if(o){if(h!==w)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(o.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(o.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(o.dims[1]!==l)throw new Error('Input "past" second dimension must be batch_size');if(o.dims[2]!==r.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(o.dims[4]!==h/r.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');r.pastPresentShareBuffer||(P=o.dims[3])}let A=_+P,v=-1,y=0;if(n)throw new Error("Mask not supported");if(o)throw new Error("past is not supported");if(a){if(a.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(a.dims[0]!==l||a.dims[1]!==r.numHeads||a.dims[2]!==d||a.dims[3]!==A)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:l,sequenceLength:d,pastSequenceLength:P,kvSequenceLength:_,totalSequenceLength:A,maxSequenceLength:v,inputHiddenSize:p,hiddenSize:u,vHiddenSize:w,headSize:Math.floor(u/r.numHeads),vHeadSize:Math.floor(w/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Ea=(e,r,t)=>r&&e?` + }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ta("argMax",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},qd=e=>Dt(e)}),Lh,Ea,zh,Bh,Rh,Fi,Nh,jh,Qd=Ue(()=>{pt(),Mt(),Bd(),xt(),Lh=(e,r)=>{let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4],a=e[5];if(o&&a)throw new Error("Attention cannot have both past and attention_bias");if(t.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let l=t.dims[0],d=t.dims[1],p=t.dims[2];if(i.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(s.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(s.dims[0]!==p)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==s.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let u=i.dims[0]/3,h=u,w=h;if(r.qkvHiddenSizes.length>0){if(r.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let $ of r.qkvHiddenSizes)if($%r.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");u=r.qkvHiddenSizes[0],h=r.qkvHiddenSizes[1],w=r.qkvHiddenSizes[2]}let f=d;if(u!==h)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==u+h+w)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let P=0;if(o){if(h!==w)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(o.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(o.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(o.dims[1]!==l)throw new Error('Input "past" second dimension must be batch_size');if(o.dims[2]!==r.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(o.dims[4]!==h/r.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');r.pastPresentShareBuffer||(P=o.dims[3])}let A=f+P,b=-1,y=0;if(n)throw new Error("Mask not supported");if(o)throw new Error("past is not supported");if(a){if(a.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(a.dims[0]!==l||a.dims[1]!==r.numHeads||a.dims[2]!==d||a.dims[3]!==A)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:l,sequenceLength:d,pastSequenceLength:P,kvSequenceLength:f,totalSequenceLength:A,maxSequenceLength:b,inputHiddenSize:p,hiddenSize:u,vHiddenSize:w,headSize:Math.floor(u/r.numHeads),vHeadSize:Math.floor(w/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Ea=(e,r,t)=>r&&e?` let total_sequence_length_input = u32(${r.getByOffset("0")}); let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length); let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input; @@ -179,22 +179,22 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas `:` ${t?"let past_sequence_length = uniforms.past_sequence_length":""}; let present_sequence_length = total_sequence_length; - `,Lh=(e,r,t,s,i,n,o,a)=>{let l=Xt(o?1:n),d=64,p=n/l;p{let y=tt("x",e.dataType,e.dims,l),S=[y],x=o?$e("seq_lens",o.dataType,o.dims):void 0;x&&S.push(x);let g=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;g&&S.push(g);let M=Tr(e.dataType),E=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return` + `,zh=(e,r,t,s,i,n,o,a)=>{let l=Xt(o?1:n),d=64,p=n/l;p{let y=tt("x",e.dataType,e.dims,l),$=[y],T=o?$e("seq_lens",o.dataType,o.dims):void 0;T&&$.push(T);let g=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;g&&$.push(g);let M=Tr(e.dataType),E=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return` var thread_max: array; var thread_sum: array; - ${v.registerUniforms(E).declareVariables(...S)} - ${v.mainStart([d,1,1])} + ${b.registerUniforms(E).declareVariables(...$)} + ${b.mainStart([d,1,1])} let batchIdx = workgroup_id.z / uniforms.num_heads; let headIdx = workgroup_id.z % uniforms.num_heads; let sequence_length = uniforms.sequence_length; var total_sequence_length = uniforms.total_sequence_length; - ${Ea(x,g,!1)} + ${Ea(T,g,!1)} let local_offset = local_idx * uniforms.elements_per_thread; let offset = (global_idx / ${d}) * uniforms.total_sequence_length + local_offset; let seq_causal_length = ${o?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"}; - var thread_max_vector = ${_}(-3.402823e+38f); + var thread_max_vector = ${f}(-3.402823e+38f); for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { - thread_max_vector = max(${_}(x[offset + i]), thread_max_vector); + thread_max_vector = max(${f}(x[offset + i]), thread_max_vector); } thread_max[local_idx] = ${(()=>{switch(l){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${l}`)}})()}; workgroupBarrier(); @@ -204,9 +204,9 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas max_value = max(thread_max[i], max_value); } - var sum_vector = ${_}(0); + var sum_vector = ${f}(0); for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { - sum_vector += exp(${_}(x[offset + i]) - max_value); + sum_vector += exp(${f}(x[offset + i]) - max_value); } thread_sum[local_idx] = ${(()=>{switch(l){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${l}`)}})()}; workgroupBarrier(); @@ -222,7 +222,7 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas } } else { for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) { - var f32input = ${_}(x[offset + i]); + var f32input = ${f}(x[offset + i]); x[offset + i] = ${y.type.value}(exp(f32input - max_value) / sum); } } @@ -230,17 +230,17 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) { x[offset + total_seq_id] = ${y.type.value}(${M}(0)); }`:""}; - }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${d};${w};${l}`,inputDependencies:P},getShaderSource:A,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:r*t},programUniforms:h})}},zh=(e,r,t,s,i,n,o,a,l)=>{let d=o+n.kvSequenceLength,p=[n.batchSize,n.numHeads,n.sequenceLength,d],u=e>1&&s,h=n.kvNumHeads?n.kvNumHeads:n.numHeads,w=u?[n.batchSize,h,d,n.headSize]:void 0,_=n.nReps?n.nReps:1,P=n.scale===0?1/Math.sqrt(n.headSize):n.scale,A=Xt(n.headSize),v=n.headSize/A,y=12,S={x:Math.ceil(d/y),y:Math.ceil(n.sequenceLength/y),z:n.batchSize*n.numHeads},x=[{type:12,data:n.sequenceLength},{type:12,data:v},{type:12,data:d},{type:12,data:n.numHeads},{type:12,data:n.headSize},{type:1,data:P},{type:12,data:o},{type:12,data:n.kvSequenceLength},{type:12,data:_}],g=u&&s&&xe.size(s.dims)>0,M=["type","type"];g&&M.push("type"),i&&M.push("type"),a&&M.push("type"),l&&M.push("type");let E=[{dims:p,dataType:r.dataType,gpuDataType:0}];u&&E.push({dims:w,dataType:r.dataType,gpuDataType:0});let k=B=>{let R=$e("q",r.dataType,r.dims,A),J=$e("key",t.dataType,t.dims,A),q=[R,J];if(g){let ae=$e("past_key",s.dataType,s.dims,A);q.push(ae)}i&&q.push($e("attention_bias",i.dataType,i.dims));let V=a?$e("seq_lens",a.dataType,a.dims):void 0;V&&q.push(V);let Y=l?$e("total_sequence_length_input",l.dataType,l.dims):void 0;Y&&q.push(Y);let H=tt("output",r.dataType,p),Q=[H];u&&Q.push(tt("present_key",r.dataType,w,A));let ie=Tr(1,A),le=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return` + }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${d};${w};${l}`,inputDependencies:P},getShaderSource:A,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:r*t},programUniforms:h})}},Bh=(e,r,t,s,i,n,o,a,l)=>{let d=o+n.kvSequenceLength,p=[n.batchSize,n.numHeads,n.sequenceLength,d],u=e>1&&s,h=n.kvNumHeads?n.kvNumHeads:n.numHeads,w=u?[n.batchSize,h,d,n.headSize]:void 0,f=n.nReps?n.nReps:1,P=n.scale===0?1/Math.sqrt(n.headSize):n.scale,A=Xt(n.headSize),b=n.headSize/A,y=12,$={x:Math.ceil(d/y),y:Math.ceil(n.sequenceLength/y),z:n.batchSize*n.numHeads},T=[{type:12,data:n.sequenceLength},{type:12,data:b},{type:12,data:d},{type:12,data:n.numHeads},{type:12,data:n.headSize},{type:1,data:P},{type:12,data:o},{type:12,data:n.kvSequenceLength},{type:12,data:f}],g=u&&s&&xe.size(s.dims)>0,M=["type","type"];g&&M.push("type"),i&&M.push("type"),a&&M.push("type"),l&&M.push("type");let E=[{dims:p,dataType:r.dataType,gpuDataType:0}];u&&E.push({dims:w,dataType:r.dataType,gpuDataType:0});let k=B=>{let N=$e("q",r.dataType,r.dims,A),J=$e("key",t.dataType,t.dims,A),q=[N,J];if(g){let ae=$e("past_key",s.dataType,s.dims,A);q.push(ae)}i&&q.push($e("attention_bias",i.dataType,i.dims));let V=a?$e("seq_lens",a.dataType,a.dims):void 0;V&&q.push(V);let Y=l?$e("total_sequence_length_input",l.dataType,l.dims):void 0;Y&&q.push(Y);let H=tt("output",r.dataType,p),Q=[H];u&&Q.push(tt("present_key",r.dataType,w,A));let ie=Tr(1,A),le=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return` const TILE_SIZE = ${y}u; - var tileQ: array<${R.type.storage}, ${y*y}>; - var tileK: array<${R.type.storage}, ${y*y}>; + var tileQ: array<${N.type.storage}, ${y*y}>; + var tileK: array<${N.type.storage}, ${y*y}>; ${B.registerUniforms(le).declareVariables(...q,...Q)} ${B.mainStart([y,y,1])} // x holds the N and y holds the M let headIdx = workgroup_id.z % uniforms.num_heads; - let kvHeadIdx = ${_===1?"headIdx":"headIdx / uniforms.n_reps"}; - let kv_num_heads = ${_===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; + let kvHeadIdx = ${f===1?"headIdx":"headIdx / uniforms.n_reps"}; + let kv_num_heads = ${f===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"}; let batchIdx = workgroup_id.z / uniforms.num_heads; let m = workgroup_id.y * TILE_SIZE; let n = workgroup_id.x * TILE_SIZE; @@ -287,7 +287,7 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas var sum: f32 = ${(()=>{switch(A){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${A}`)}})()}; output[outputIdx] = ${H.type.value} (sum * uniforms.alpha) + ${i?"attention_bias[outputIdx]":"0.0"}; } - }`};return{name:"AttentionProbs",shaderCache:{hint:`${A};${i!==void 0};${s!==void 0};${e}`,inputDependencies:M},getRunData:()=>({outputs:E,dispatchGroup:S,programUniforms:x}),getShaderSource:k}},Bh=(e,r,t,s,i,n,o=void 0,a=void 0)=>{let l=n+i.kvSequenceLength,d=i.nReps?i.nReps:1,p=i.vHiddenSize*d,u=e>1&&s,h=i.kvNumHeads?i.kvNumHeads:i.numHeads,w=u?[i.batchSize,h,l,i.headSize]:void 0,_=[i.batchSize,i.sequenceLength,p],P=12,A={x:Math.ceil(i.vHeadSize/P),y:Math.ceil(i.sequenceLength/P),z:i.batchSize*i.numHeads},v=[{type:12,data:i.sequenceLength},{type:12,data:l},{type:12,data:i.vHeadSize},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:p},{type:12,data:n},{type:12,data:i.kvSequenceLength},{type:12,data:d}],y=u&&s&&xe.size(s.dims)>0,S=["type","type"];y&&S.push("type"),o&&S.push("type"),a&&S.push("type");let x=[{dims:_,dataType:r.dataType,gpuDataType:0}];u&&x.push({dims:w,dataType:r.dataType,gpuDataType:0});let g=M=>{let E=$e("probs",r.dataType,r.dims),k=$e("v",t.dataType,t.dims),B=[E,k];y&&B.push($e("past_value",s.dataType,s.dims));let R=o?$e("seq_lens",o.dataType,o.dims):void 0;o&&B.push(R);let J=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;a&&B.push(J);let q=[tt("output",r.dataType,_)];u&&q.push(tt("present_value",r.dataType,w));let V=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return` + }`};return{name:"AttentionProbs",shaderCache:{hint:`${A};${i!==void 0};${s!==void 0};${e}`,inputDependencies:M},getRunData:()=>({outputs:E,dispatchGroup:$,programUniforms:T}),getShaderSource:k}},Rh=(e,r,t,s,i,n,o=void 0,a=void 0)=>{let l=n+i.kvSequenceLength,d=i.nReps?i.nReps:1,p=i.vHiddenSize*d,u=e>1&&s,h=i.kvNumHeads?i.kvNumHeads:i.numHeads,w=u?[i.batchSize,h,l,i.headSize]:void 0,f=[i.batchSize,i.sequenceLength,p],P=12,A={x:Math.ceil(i.vHeadSize/P),y:Math.ceil(i.sequenceLength/P),z:i.batchSize*i.numHeads},b=[{type:12,data:i.sequenceLength},{type:12,data:l},{type:12,data:i.vHeadSize},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:p},{type:12,data:n},{type:12,data:i.kvSequenceLength},{type:12,data:d}],y=u&&s&&xe.size(s.dims)>0,$=["type","type"];y&&$.push("type"),o&&$.push("type"),a&&$.push("type");let T=[{dims:f,dataType:r.dataType,gpuDataType:0}];u&&T.push({dims:w,dataType:r.dataType,gpuDataType:0});let g=M=>{let E=$e("probs",r.dataType,r.dims),k=$e("v",t.dataType,t.dims),B=[E,k];y&&B.push($e("past_value",s.dataType,s.dims));let N=o?$e("seq_lens",o.dataType,o.dims):void 0;o&&B.push(N);let J=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;a&&B.push(J);let q=[tt("output",r.dataType,f)];u&&q.push(tt("present_value",r.dataType,w));let V=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return` const TILE_SIZE = ${P}u; var tileQ: array<${E.type.value}, ${P*P}>; var tileV: array<${E.type.value}, ${P*P}>; @@ -301,7 +301,7 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas let n = global_id.x; let sequence_length = uniforms.M; var total_sequence_length = uniforms.K; - ${Ea(R,J,!0)} + ${Ea(N,J,!0)} let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K; let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch ${y&&u?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""}; @@ -342,13 +342,13 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas + headIdx * uniforms.N + n; output[outputIdx] = value; } - }`};return{name:"AttentionScore",shaderCache:{hint:`${s!==void 0};${e}`,inputDependencies:S},getRunData:()=>({outputs:x,dispatchGroup:A,programUniforms:v}),getShaderSource:g}},Fi=(e,r,t,s,i,n,o,a,l,d,p=void 0,u=void 0)=>{let h=Math.min(e.outputCount,1+(o?1:0)+(a?1:0)),w=h>1?d.pastSequenceLength:0,_=w+d.kvSequenceLength,P=l&&xe.size(l.dims)>0?l:void 0,A=[r,t];h>1&&o&&xe.size(o.dims)>0&&A.push(o),P&&A.push(P),p&&A.push(p),u&&A.push(u);let v=e.compute(zh(h,r,t,o,P,d,w,p,u),{inputs:A,outputs:h>1?[-1,1]:[-1]})[0];e.compute(Lh(v,d.batchSize,d.numHeads,w,d.sequenceLength,_,p,u),{inputs:p&&u?[v,p,u]:[v],outputs:[]});let y=[v,s];h>1&&a&&xe.size(a.dims)>0&&y.push(a),p&&y.push(p),u&&y.push(u),e.compute(Bh(h,v,s,a,d,w,p,u),{inputs:y,outputs:h>1?[0,2]:[0]})},Rh=(e,r)=>{let t=[r.batchSize,r.numHeads,r.sequenceLength,r.headSize],s=r.sequenceLength,i=r.inputHiddenSize,n=r.headSize,o=12,a={x:Math.ceil(r.headSize/o),y:Math.ceil(r.sequenceLength/o),z:r.batchSize*r.numHeads},l=[e.inputs[0],e.inputs[1],e.inputs[2]],d=[{type:12,data:s},{type:12,data:i},{type:12,data:n},{type:12,data:r.numHeads},{type:12,data:r.headSize},{type:12,data:r.hiddenSize},{type:12,data:r.hiddenSize+r.hiddenSize+r.vHiddenSize}],p=u=>{let h=tt("output_q",l[0].dataType,t),w=tt("output_k",l[0].dataType,t),_=tt("output_v",l[0].dataType,t),P=$e("input",l[0].dataType,l[0].dims),A=$e("weight",l[1].dataType,l[1].dims),v=$e("bias",l[2].dataType,l[2].dims),y=P.type.storage,S=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return` + }`};return{name:"AttentionScore",shaderCache:{hint:`${s!==void 0};${e}`,inputDependencies:$},getRunData:()=>({outputs:T,dispatchGroup:A,programUniforms:b}),getShaderSource:g}},Fi=(e,r,t,s,i,n,o,a,l,d,p=void 0,u=void 0)=>{let h=Math.min(e.outputCount,1+(o?1:0)+(a?1:0)),w=h>1?d.pastSequenceLength:0,f=w+d.kvSequenceLength,P=l&&xe.size(l.dims)>0?l:void 0,A=[r,t];h>1&&o&&xe.size(o.dims)>0&&A.push(o),P&&A.push(P),p&&A.push(p),u&&A.push(u);let b=e.compute(Bh(h,r,t,o,P,d,w,p,u),{inputs:A,outputs:h>1?[-1,1]:[-1]})[0];e.compute(zh(b,d.batchSize,d.numHeads,w,d.sequenceLength,f,p,u),{inputs:p&&u?[b,p,u]:[b],outputs:[]});let y=[b,s];h>1&&a&&xe.size(a.dims)>0&&y.push(a),p&&y.push(p),u&&y.push(u),e.compute(Rh(h,b,s,a,d,w,p,u),{inputs:y,outputs:h>1?[0,2]:[0]})},Nh=(e,r)=>{let t=[r.batchSize,r.numHeads,r.sequenceLength,r.headSize],s=r.sequenceLength,i=r.inputHiddenSize,n=r.headSize,o=12,a={x:Math.ceil(r.headSize/o),y:Math.ceil(r.sequenceLength/o),z:r.batchSize*r.numHeads},l=[e.inputs[0],e.inputs[1],e.inputs[2]],d=[{type:12,data:s},{type:12,data:i},{type:12,data:n},{type:12,data:r.numHeads},{type:12,data:r.headSize},{type:12,data:r.hiddenSize},{type:12,data:r.hiddenSize+r.hiddenSize+r.vHiddenSize}],p=u=>{let h=tt("output_q",l[0].dataType,t),w=tt("output_k",l[0].dataType,t),f=tt("output_v",l[0].dataType,t),P=$e("input",l[0].dataType,l[0].dims),A=$e("weight",l[1].dataType,l[1].dims),b=$e("bias",l[2].dataType,l[2].dims),y=P.type.storage,$=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return` const TILE_SIZE = ${o}u; var tileInput: array<${y}, ${o*o}>; var tileWeightQ: array<${y}, ${o*o}>; var tileWeightK: array<${y}, ${o*o}>; var tileWeightV: array<${y}, ${o*o}>; - ${u.registerUniforms(S).declareVariables(P,A,v,h,w,_)} + ${u.registerUniforms($).declareVariables(P,A,b,h,w,f)} ${u.mainStart([o,o,1])} let batchIndex = workgroup_id.z / uniforms.num_heads; let headNumber = workgroup_id.z % uniforms.num_heads; @@ -397,24 +397,24 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas output_k[outputIdx] = valueK; output_v[outputIdx] = valueV; } - }`};return e.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:a,programUniforms:d}),getShaderSource:p},{inputs:l,outputs:[-1,-1,-1]})},Nh=(e,r)=>{let t=Dh(e.inputs,r),[s,i,n]=Rh(e,t);return Fi(e,s,i,n,e.inputs[4],void 0,void 0,void 0,e.inputs[5],t)}}),jh,Uh,Vh,Wh,Qb=je(()=>{ss(),pt(),yt(),Yt(),vt(),jh=(e,r)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let t=(s,i,n)=>{let o=i.length;if(o!==s.length)throw new Error(`${n}: num dimensions != ${o}`);i.forEach((a,l)=>{if(a!==s[l])throw new Error(`${n}: dim[${l}] do not match`)})};if(e[0].dims.length>1){let s=r.format==="NHWC"?r.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,r.spatial?2:void 0);t(e[1].dims,s,"Invalid input scale"),t(e[2].dims,s,"Invalid input B"),t(e[3].dims,s,"Invalid input mean"),t(e[4].dims,s,"Invalid input var")}else t(e[1].dims,[1],"Invalid input scale"),t(e[2].dims,[1],"Invalid input B"),t(e[3].dims,[1],"Invalid input mean"),t(e[4].dims,[1],"Invalid input var")},Uh=(e,r)=>{let{epsilon:t,spatial:s,format:i}=r,n=e[0].dims,o=s?Xt(n[n.length-1]):1,a=i==="NHWC"&&n.length>1?o:1,l=xe.size(n)/o,d=s,p=d?n.length:n,u=$e("x",e[0].dataType,e[0].dims,o),h=$e("scale",e[1].dataType,e[1].dims,a),w=$e("bias",e[2].dataType,e[2].dims,a),_=$e("inputMean",e[3].dataType,e[3].dims,a),P=$e("inputVar",e[4].dataType,e[4].dims,a),A=tt("y",e[0].dataType,p,o),v=()=>{let S="";if(s)S=`let cOffset = ${n.length===1?"0u":i==="NHWC"?`outputIndices[${n.length-1}] / ${o}`:"outputIndices[1]"};`;else if(i==="NCHW")S=` + }`};return e.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:a,programUniforms:d}),getShaderSource:p},{inputs:l,outputs:[-1,-1,-1]})},jh=(e,r)=>{let t=Lh(e.inputs,r),[s,i,n]=Nh(e,t);return Fi(e,s,i,n,e.inputs[4],void 0,void 0,void 0,e.inputs[5],t)}}),Uh,Vh,Wh,Gh,ov=Ue(()=>{ss(),pt(),Mt(),Yt(),xt(),Uh=(e,r)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let t=(s,i,n)=>{let o=i.length;if(o!==s.length)throw new Error(`${n}: num dimensions != ${o}`);i.forEach((a,l)=>{if(a!==s[l])throw new Error(`${n}: dim[${l}] do not match`)})};if(e[0].dims.length>1){let s=r.format==="NHWC"?r.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,r.spatial?2:void 0);t(e[1].dims,s,"Invalid input scale"),t(e[2].dims,s,"Invalid input B"),t(e[3].dims,s,"Invalid input mean"),t(e[4].dims,s,"Invalid input var")}else t(e[1].dims,[1],"Invalid input scale"),t(e[2].dims,[1],"Invalid input B"),t(e[3].dims,[1],"Invalid input mean"),t(e[4].dims,[1],"Invalid input var")},Vh=(e,r)=>{let{epsilon:t,spatial:s,format:i}=r,n=e[0].dims,o=s?Xt(n[n.length-1]):1,a=i==="NHWC"&&n.length>1?o:1,l=xe.size(n)/o,d=s,p=d?n.length:n,u=$e("x",e[0].dataType,e[0].dims,o),h=$e("scale",e[1].dataType,e[1].dims,a),w=$e("bias",e[2].dataType,e[2].dims,a),f=$e("inputMean",e[3].dataType,e[3].dims,a),P=$e("inputVar",e[4].dataType,e[4].dims,a),A=tt("y",e[0].dataType,p,o),b=()=>{let $="";if(s)$=`let cOffset = ${n.length===1?"0u":i==="NHWC"?`outputIndices[${n.length-1}] / ${o}`:"outputIndices[1]"};`;else if(i==="NCHW")$=` ${A.indicesSet("outputIndices","0","0")} - let cOffset = ${A.indicesToOffset("outputIndices")};`;else{S=`var cIndices = ${h.type.indices}(0); - cIndices[0] = outputIndices[${n.length-1}];`;for(let x=1;x` + let cOffset = ${A.indicesToOffset("outputIndices")};`;else{$=`var cIndices = ${h.type.indices}(0); + cIndices[0] = outputIndices[${n.length-1}];`;for(let T=1;T` const epsilon = ${t}; - ${S.registerUniform("outputSize","u32").declareVariables(u,h,w,_,P,A)} - ${S.mainStart()} - ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + ${$.registerUniform("outputSize","u32").declareVariables(u,h,w,f,P,A)} + ${$.mainStart()} + ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} var outputIndices = ${A.offsetToIndices(`global_idx * ${o}`)}; - ${v()} + ${b()} let scale = ${h.getByOffset("cOffset")}; let bias = ${w.getByOffset("cOffset")}; - let inputMean = ${_.getByOffset("cOffset")}; + let inputMean = ${f.getByOffset("cOffset")}; let inputVar = ${P.getByOffset("cOffset")}; let x = ${u.getByOffset("global_idx")}; let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias; ${A.setByOffset("global_idx","value")} - }`;return{name:"BatchNormalization",shaderCache:{hint:`${r.epsilon}_${r.format}_${s}_${o}`,inputDependencies:d?["rank","type","type","type","type"]:void 0},getShaderSource:y,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d?[{type:12,data:l},...nt(n)]:[{type:12,data:l}]})}},Vh=e=>Dt(e),Wh=(e,r)=>{let{inputs:t,outputCount:s}=e,i=Vh({...r,outputCount:s});if(Vt.webgpu.validateInputContent&&jh(t,i),r.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");e.compute(Uh(t,i))}}),Gh,Kh,Hh,Xb=je(()=>{yt(),vt(),Gh=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(e[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Kh=e=>{let r=e[0].dims,t=e[0].dims[2],s=xe.size(r)/4,i=e[0].dataType,n=$e("input",i,r,4),o=$e("bias",i,[t],4),a=$e("residual",i,r,4),l=tt("output",i,r,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)}}),getShaderSource:d=>` + }`;return{name:"BatchNormalization",shaderCache:{hint:`${r.epsilon}_${r.format}_${s}_${o}`,inputDependencies:d?["rank","type","type","type","type"]:void 0},getShaderSource:y,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d?[{type:12,data:l},...nt(n)]:[{type:12,data:l}]})}},Wh=e=>Dt(e),Gh=(e,r)=>{let{inputs:t,outputCount:s}=e,i=Wh({...r,outputCount:s});if(Vt.webgpu.validateInputContent&&Uh(t,i),r.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");e.compute(Vh(t,i))}}),Kh,Hh,qh,av=Ue(()=>{Mt(),xt(),Kh=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(e[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Hh=e=>{let r=e[0].dims,t=e[0].dims[2],s=xe.size(r)/4,i=e[0].dataType,n=$e("input",i,r,4),o=$e("bias",i,[t],4),a=$e("residual",i,r,4),l=tt("output",i,r,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)}}),getShaderSource:d=>` const channels = ${t}u / 4; ${d.declareVariables(n,o,a,l)} @@ -423,7 +423,7 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas let value = ${n.getByOffset("global_idx")} + ${o.getByOffset("global_idx % channels")} + ${a.getByOffset("global_idx")}; ${l.setByOffset("global_idx","value")} - }`}},Hh=e=>{Gh(e.inputs),e.compute(Kh(e.inputs))}}),qh,$t,Qh,Xh,Jh,Yh,Zh,em,tm,rm,sm,nm,im,om,am,lm,Oi,dm,Pa,cm,um,pm,hm,mm,fm,_m,gm,wm,ym,Mm,bm,vm,xm,Tm,Em,Qd,Pm,Xd,Jd,Cm,Sm,$m,km,Im,Am,Yd=je(()=>{pt(),yt(),Yt(),vt(),qh=(e,r,t,s,i,n,o)=>{let a=Math.ceil(r/4),l="";typeof i=="string"?l=`${i}(a)`:l=i("a");let d=$e("inputData",t,[a],4),p=tt("outputData",s,[a],4),u=[{name:"vec_size",type:"u32"}];return o&&u.push(...o),` + }`}},qh=e=>{Kh(e.inputs),e.compute(Hh(e.inputs))}}),Qh,$t,Xh,Jh,Yh,Zh,em,tm,rm,sm,nm,im,om,am,lm,dm,Oi,cm,Pa,um,pm,hm,mm,_m,fm,gm,wm,ym,Mm,bm,vm,xm,Tm,Em,Pm,Xd,Cm,Jd,Yd,Sm,$m,km,Im,Am,Fm,Zd=Ue(()=>{pt(),Mt(),Yt(),xt(),Qh=(e,r,t,s,i,n,o)=>{let a=Math.ceil(r/4),l="";typeof i=="string"?l=`${i}(a)`:l=i("a");let d=$e("inputData",t,[a],4),p=tt("outputData",s,[a],4),u=[{name:"vec_size",type:"u32"}];return o&&u.push(...o),` ${e.registerUniforms(u).declareVariables(d,p)} ${n??""} @@ -433,7 +433,7 @@ var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLas let a = ${d.getByOffset("global_idx")}; ${p.setByOffset("global_idx",l)} - }`},$t=(e,r,t,s,i,n=e.dataType,o,a)=>{let l=[{type:12,data:Math.ceil(xe.size(e.dims)/4)}];return o&&l.push(...o),{name:r,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:d=>qh(d,xe.size(e.dims),e.dataType,n,t,s,a),getRunData:d=>({outputs:[{dims:e.dims,dataType:n}],dispatchGroup:{x:Math.ceil(xe.size(d[0].dims)/64/4)},programUniforms:l})}},Qh=e=>{e.compute($t(e.inputs[0],"Abs","abs"))},Xh=e=>{e.compute($t(e.inputs[0],"Acos","acos"))},Jh=e=>{e.compute($t(e.inputs[0],"Acosh","acosh"))},Yh=e=>{e.compute($t(e.inputs[0],"Asin","asin"))},Zh=e=>{e.compute($t(e.inputs[0],"Asinh","asinh"))},em=e=>{e.compute($t(e.inputs[0],"Atan","atan"))},tm=e=>{e.compute($t(e.inputs[0],"Atanh","atanh"))},rm=e=>Dt(e),sm=(e,r)=>{let t;switch(r.to){case 10:t="vec4";break;case 1:t="vec4";break;case 12:t="vec4";break;case 6:t="vec4";break;case 9:t="vec4";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${r.to}`)}e.compute($t(e.inputs[0],"Cast",t,void 0,r.cacheKey,r.to))},nm=e=>{let r,t,s=e.length>=2&&e[1].data!==0,i=e.length>=3&&e[2].data!==0;switch(e[0].dataType){case 1:r=s?e[1].getFloat32Array()[0]:-34028234663852886e22,t=i?e[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:r=s?e[1].getUint16Array()[0]:64511,t=i?e[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return Dt({min:r,max:t})},im=(e,r)=>{let t=r||nm(e.inputs),s=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Clip",i=>`clamp(${i}, vec4<${s}>(uniforms.min), vec4<${s}>(uniforms.max))`,void 0,t.cacheKey,void 0,[{type:e.inputs[0].dataType,data:t.min},{type:e.inputs[0].dataType,data:t.max}],[{name:"min",type:s},{name:"max",type:s}]),{inputs:[0]})},om=e=>{e.compute($t(e.inputs[0],"Ceil","ceil"))},am=e=>{e.compute($t(e.inputs[0],"Cos","cos"))},lm=e=>{e.compute($t(e.inputs[0],"Cosh","cosh"))},Oi=e=>Dt(e),dm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Elu",s=>`elu_vf32(${s})`,` + }`},$t=(e,r,t,s,i,n=e.dataType,o,a)=>{let l=[{type:12,data:Math.ceil(xe.size(e.dims)/4)}];return o&&l.push(...o),{name:r,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:d=>Qh(d,xe.size(e.dims),e.dataType,n,t,s,a),getRunData:d=>({outputs:[{dims:e.dims,dataType:n}],dispatchGroup:{x:Math.ceil(xe.size(d[0].dims)/64/4)},programUniforms:l})}},Xh=e=>{e.compute($t(e.inputs[0],"Abs","abs"))},Jh=e=>{e.compute($t(e.inputs[0],"Acos","acos"))},Yh=e=>{e.compute($t(e.inputs[0],"Acosh","acosh"))},Zh=e=>{e.compute($t(e.inputs[0],"Asin","asin"))},em=e=>{e.compute($t(e.inputs[0],"Asinh","asinh"))},tm=e=>{e.compute($t(e.inputs[0],"Atan","atan"))},rm=e=>{e.compute($t(e.inputs[0],"Atanh","atanh"))},sm=e=>Dt(e),nm=(e,r)=>{let t;switch(r.to){case 10:t="vec4";break;case 1:t="vec4";break;case 12:t="vec4";break;case 6:t="vec4";break;case 9:t="vec4";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${r.to}`)}e.compute($t(e.inputs[0],"Cast",t,void 0,r.cacheKey,r.to))},im=e=>{let r,t,s=e.length>=2&&e[1].data!==0,i=e.length>=3&&e[2].data!==0;switch(e[0].dataType){case 1:r=s?e[1].getFloat32Array()[0]:-34028234663852886e22,t=i?e[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:r=s?e[1].getUint16Array()[0]:64511,t=i?e[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return Dt({min:r,max:t})},om=(e,r)=>{let t=r||im(e.inputs),s=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Clip",i=>`clamp(${i}, vec4<${s}>(uniforms.min), vec4<${s}>(uniforms.max))`,void 0,t.cacheKey,void 0,[{type:e.inputs[0].dataType,data:t.min},{type:e.inputs[0].dataType,data:t.max}],[{name:"min",type:s},{name:"max",type:s}]),{inputs:[0]})},am=e=>{e.compute($t(e.inputs[0],"Ceil","ceil"))},lm=e=>{e.compute($t(e.inputs[0],"Cos","cos"))},dm=e=>{e.compute($t(e.inputs[0],"Cosh","cosh"))},Oi=e=>Dt(e),cm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Elu",s=>`elu_vf32(${s})`,` const elu_alpha_ = ${t}(${r.alpha}); fn elu_f32(a: ${t}) -> ${t} { @@ -454,15 +454,15 @@ fn erf_vf32(v: vec4<${e}>) -> vec4<${e}> { let absv = abs(v); let x = 1.0 / (1.0 + r0 * absv); return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv)); -}`,cm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Erf",t=>`erf_vf32(${t})`,Pa(r)))},um=e=>{e.compute($t(e.inputs[0],"Exp","exp"))},pm=e=>{e.compute($t(e.inputs[0],"Floor","floor"))},hm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Gelu",t=>`0.5 * ${t} * (1.0 + erf_vf32(${t} * 0.7071067811865475))`,Pa(r)))},mm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"LeakyRelu",s=>`select(leaky_relu_alpha_ * ${s}, ${s}, ${s} >= vec4<${t}>(0.0))`,`const leaky_relu_alpha_ = ${t}(${r.alpha});`,r.cacheKey))},fm=e=>{e.compute($t(e.inputs[0],"Not",r=>`!${r}`))},_m=e=>{e.compute($t(e.inputs[0],"Neg",r=>`-${r}`))},gm=e=>{e.compute($t(e.inputs[0],"Reciprocal",r=>`1.0/${r}`))},wm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Relu",t=>`select(vec4<${r}>(0.0), ${t}, ${t} > vec4<${r}>(0.0))`))},ym=e=>{e.compute($t(e.inputs[0],"Sigmoid",r=>`(1.0 / (1.0 + exp(-${r})))`))},Mm=e=>Dt(e),bm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"HardSigmoid",s=>`max(vec4<${t}>(0.0), min(vec4<${t}>(1.0), ${r.alpha} * ${s} + vec4<${t}>(${r.beta})))`,void 0,r.cacheKey))},vm=e=>{e.compute($t(e.inputs[0],"Sin","sin"))},xm=e=>{e.compute($t(e.inputs[0],"Sinh","sinh"))},Tm=e=>{e.compute($t(e.inputs[0],"Sqrt","sqrt"))},Em=e=>{e.compute($t(e.inputs[0],"Tan","tan"))},Qd=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,Pm=e=>{e.compute($t(e.inputs[0],"Tanh",Qd))},Xd=(e="f32")=>` +}`,um=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Erf",t=>`erf_vf32(${t})`,Pa(r)))},pm=e=>{e.compute($t(e.inputs[0],"Exp","exp"))},hm=e=>{e.compute($t(e.inputs[0],"Floor","floor"))},mm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Gelu",t=>`0.5 * ${t} * (1.0 + erf_vf32(${t} * 0.7071067811865475))`,Pa(r)))},_m=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"LeakyRelu",s=>`select(leaky_relu_alpha_ * ${s}, ${s}, ${s} >= vec4<${t}>(0.0))`,`const leaky_relu_alpha_ = ${t}(${r.alpha});`,r.cacheKey))},fm=e=>{e.compute($t(e.inputs[0],"Not",r=>`!${r}`))},gm=e=>{e.compute($t(e.inputs[0],"Neg",r=>`-${r}`))},wm=e=>{e.compute($t(e.inputs[0],"Reciprocal",r=>`1.0/${r}`))},ym=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Relu",t=>`select(vec4<${r}>(0.0), ${t}, ${t} > vec4<${r}>(0.0))`))},Mm=e=>{e.compute($t(e.inputs[0],"Sigmoid",r=>`(1.0 / (1.0 + exp(-${r})))`))},bm=e=>Dt(e),vm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"HardSigmoid",s=>`max(vec4<${t}>(0.0), min(vec4<${t}>(1.0), ${r.alpha} * ${s} + vec4<${t}>(${r.beta})))`,void 0,r.cacheKey))},xm=e=>{e.compute($t(e.inputs[0],"Sin","sin"))},Tm=e=>{e.compute($t(e.inputs[0],"Sinh","sinh"))},Em=e=>{e.compute($t(e.inputs[0],"Sqrt","sqrt"))},Pm=e=>{e.compute($t(e.inputs[0],"Tan","tan"))},Xd=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,Cm=e=>{e.compute($t(e.inputs[0],"Tanh",Xd))},Jd=(e="f32")=>` const fast_gelu_a: ${e} = 0.5; const fast_gelu_b: ${e} = 0.7978845608028654; const fast_gelu_c: ${e} = 0.035677408136300125; fn tanh_v(v: vec4<${e}>) -> vec4<${e}> { - return ${Qd("v")}; + return ${Xd("v")}; } -`,Jd=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,Cm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"FastGelu",Jd,Xd(r),void 0,e.inputs[0].dataType))},Sm=(e,r)=>{let t=Tr(e.inputs[0].dataType);return e.compute($t(e.inputs[0],"ThresholdedRelu",s=>`select(vec4<${t}>(0.0), ${s}, ${s} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${t}>(${r.alpha});`,r.cacheKey)),0},$m=e=>{e.compute($t(e.inputs[0],"Log","log"))},km=(e,r)=>` +`,Yd=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,Sm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"FastGelu",Yd,Jd(r),void 0,e.inputs[0].dataType))},$m=(e,r)=>{let t=Tr(e.inputs[0].dataType);return e.compute($t(e.inputs[0],"ThresholdedRelu",s=>`select(vec4<${t}>(0.0), ${s}, ${s} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${t}>(${r.alpha});`,r.cacheKey)),0},km=e=>{e.compute($t(e.inputs[0],"Log","log"))},Im=(e,r)=>` const alpha = vec4<${e}>(${r}); const one = ${e}(1.0); const zero = ${e}(0.0); @@ -479,7 +479,7 @@ fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> { } return x * x1; } -`,Im=e=>`quick_gelu_impl(${e})`,Am=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"QuickGelu",Im,km(t,r.alpha),r.cacheKey,e.inputs[0].dataType))}}),Fm,Om,Dm,Jb=je(()=>{yt(),vt(),Yd(),Fm=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Om=e=>{let r=e[0].dims.slice();r[2]=r[2]/2;let t=$e("input",e[0].dataType,e[0].dims,4),s=$e("bias",e[0].dataType,[e[0].dims[2]],4),i=tt("output",e[0].dataType,r,4),n=xe.size(r)/4,o=lr(e[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:a=>` +`,Am=e=>`quick_gelu_impl(${e})`,Fm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"QuickGelu",Am,Im(t,r.alpha),r.cacheKey,e.inputs[0].dataType))}}),Om,Dm,Lm,lv=Ue(()=>{Mt(),xt(),Zd(),Om=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Dm=e=>{let r=e[0].dims.slice();r[2]=r[2]/2;let t=$e("input",e[0].dataType,e[0].dims,4),s=$e("bias",e[0].dataType,[e[0].dims[2]],4),i=tt("output",e[0].dataType,r,4),n=xe.size(r)/4,o=lr(e[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:a=>` const M_SQRT2 = sqrt(2.0); const halfChannels = ${e[0].dims[2]/4/2}u; @@ -497,40 +497,40 @@ fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> { let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1); ${i.setByOffset("global_idx","valueLeft * geluRight")} - }`}},Dm=e=>{Fm(e.inputs),e.compute(Om(e.inputs))}}),Lm,zm,ls,Bm,Rm,Nm,jm,Um,Vm,Wm,Gm,Km,Hm,Yb=je(()=>{pt(),yt(),vt(),Lm=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h,w;typeof a=="string"?h=w=(y,S)=>`${a}((${y}),(${S}))`:typeof a=="function"?h=w=a:(h=a.scalar,w=a.vector);let _=tt("outputData",p,s.length,4),P=$e("aData",l,r.length,4),A=$e("bData",d,t.length,4),v;if(i)if(n){let y=xe.size(r)===1,S=xe.size(t)===1,x=r.length>0&&r[r.length-1]%4===0,g=t.length>0&&t[t.length-1]%4===0;y||S?v=_.setByOffset("global_idx",w(y?`${P.type.value}(${P.getByOffset("0")}.x)`:P.getByOffset("global_idx"),S?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):v=` - let outputIndices = ${_.offsetToIndices("global_idx * 4u")}; - let offsetA = ${P.broadcastedIndicesToOffset("outputIndices",_)}; - let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",_)}; - ${_.setByOffset("global_idx",w(o||x?P.getByOffset("offsetA / 4u"):`${P.type.value}(${P.getByOffset("offsetA / 4u")}[offsetA % 4u])`,o||g?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))} - `}else v=_.setByOffset("global_idx",w(P.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!n)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let y=(S,x,g="")=>{let M=`aData[indexA${x}][componentA${x}]`,E=`bData[indexB${x}][componentB${x}]`;return` - let outputIndices${x} = ${_.offsetToIndices(`global_idx * 4u + ${x}u`)}; - let offsetA${x} = ${P.broadcastedIndicesToOffset(`outputIndices${x}`,_)}; - let offsetB${x} = ${A.broadcastedIndicesToOffset(`outputIndices${x}`,_)}; - let indexA${x} = offsetA${x} / 4u; - let indexB${x} = offsetB${x} / 4u; - let componentA${x} = offsetA${x} % 4u; - let componentB${x} = offsetB${x} % 4u; - ${S}[${x}] = ${g}(${h(M,E)}); - `};p===9?v=` + }`}},Lm=e=>{Om(e.inputs),e.compute(Dm(e.inputs))}}),zm,Bm,ls,Rm,Nm,jm,Um,Vm,Wm,Gm,Km,Hm,qm,dv=Ue(()=>{pt(),Mt(),xt(),zm=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h,w;typeof a=="string"?h=w=(y,$)=>`${a}((${y}),(${$}))`:typeof a=="function"?h=w=a:(h=a.scalar,w=a.vector);let f=tt("outputData",p,s.length,4),P=$e("aData",l,r.length,4),A=$e("bData",d,t.length,4),b;if(i)if(n){let y=xe.size(r)===1,$=xe.size(t)===1,T=r.length>0&&r[r.length-1]%4===0,g=t.length>0&&t[t.length-1]%4===0;y||$?b=f.setByOffset("global_idx",w(y?`${P.type.value}(${P.getByOffset("0")}.x)`:P.getByOffset("global_idx"),$?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):b=` + let outputIndices = ${f.offsetToIndices("global_idx * 4u")}; + let offsetA = ${P.broadcastedIndicesToOffset("outputIndices",f)}; + let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",f)}; + ${f.setByOffset("global_idx",w(o||T?P.getByOffset("offsetA / 4u"):`${P.type.value}(${P.getByOffset("offsetA / 4u")}[offsetA % 4u])`,o||g?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))} + `}else b=f.setByOffset("global_idx",w(P.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!n)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let y=($,T,g="")=>{let M=`aData[indexA${T}][componentA${T}]`,E=`bData[indexB${T}][componentB${T}]`;return` + let outputIndices${T} = ${f.offsetToIndices(`global_idx * 4u + ${T}u`)}; + let offsetA${T} = ${P.broadcastedIndicesToOffset(`outputIndices${T}`,f)}; + let offsetB${T} = ${A.broadcastedIndicesToOffset(`outputIndices${T}`,f)}; + let indexA${T} = offsetA${T} / 4u; + let indexB${T} = offsetB${T} / 4u; + let componentA${T} = offsetA${T} % 4u; + let componentB${T} = offsetB${T} % 4u; + ${$}[${T}] = ${g}(${h(M,E)}); + `};p===9?b=` var data = vec4(0); ${y("data",0,"u32")} ${y("data",1,"u32")} ${y("data",2,"u32")} ${y("data",3,"u32")} - outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:v=` + outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:b=` ${y("outputData[global_idx]",0)} ${y("outputData[global_idx]",1)} ${y("outputData[global_idx]",2)} ${y("outputData[global_idx]",3)} `}return` - ${e.registerUniform("vec_size","u32").declareVariables(P,A,_)} + ${e.registerUniform("vec_size","u32").declareVariables(P,A,f)} ${u??""} ${e.mainStart()} ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} - ${v} - }`},zm=(e,r,t,s,i,n,o=t.dataType)=>{let a=t.dims.map(P=>Number(P)??1),l=s.dims.map(P=>Number(P)??1),d=!xe.areEqual(a,l),p=a,u=xe.size(a),h=!1,w=!1,_=[d];if(d){let P=Nn.calcShape(a,l,!1);if(!P)throw new Error("Can't perform binary op on the given tensors");p=P.slice(),u=xe.size(p);let A=xe.size(a)===1,v=xe.size(l)===1,y=a.length>0&&a[a.length-1]%4===0,S=l.length>0&&l[l.length-1]%4===0;_.push(A),_.push(v),_.push(y),_.push(S);let x=1;for(let g=1;gP.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:P=>Lm(P,a,l,p,h,d,w,i,t.dataType,s.dataType,o,n),getRunData:()=>({outputs:[{dims:p,dataType:o}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(xe.size(p)/4)},...nt(a,l,p)]})}},ls=(e,r,t,s,i,n)=>{e.compute(zm(r,i??"",e.inputs[0],e.inputs[1],t,s,n))},Bm=e=>{ls(e,"Add",(r,t)=>`${r}+${t}`)},Rm=e=>{ls(e,"Div",(r,t)=>`${r}/${t}`)},Nm=e=>{ls(e,"Equal",{scalar:(r,t)=>`u32(${r}==${t})`,vector:(r,t)=>`vec4(${r}==${t})`},void 0,void 0,9)},jm=e=>{ls(e,"Mul",(r,t)=>`${r}*${t}`)},Um=e=>{let r=$e("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;ls(e,"Pow",{scalar:(t,s)=>`pow_custom(${t},${s})`,vector:(t,s)=>`pow_vector_custom(${t},${s})`},` + ${b} + }`},Bm=(e,r,t,s,i,n,o=t.dataType)=>{let a=t.dims.map(P=>Number(P)??1),l=s.dims.map(P=>Number(P)??1),d=!xe.areEqual(a,l),p=a,u=xe.size(a),h=!1,w=!1,f=[d];if(d){let P=Nn.calcShape(a,l,!1);if(!P)throw new Error("Can't perform binary op on the given tensors");p=P.slice(),u=xe.size(p);let A=xe.size(a)===1,b=xe.size(l)===1,y=a.length>0&&a[a.length-1]%4===0,$=l.length>0&&l[l.length-1]%4===0;f.push(A),f.push(b),f.push(y),f.push($);let T=1;for(let g=1;gP.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:P=>zm(P,a,l,p,h,d,w,i,t.dataType,s.dataType,o,n),getRunData:()=>({outputs:[{dims:p,dataType:o}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(xe.size(p)/4)},...nt(a,l,p)]})}},ls=(e,r,t,s,i,n)=>{e.compute(Bm(r,i??"",e.inputs[0],e.inputs[1],t,s,n))},Rm=e=>{ls(e,"Add",(r,t)=>`${r}+${t}`)},Nm=e=>{ls(e,"Div",(r,t)=>`${r}/${t}`)},jm=e=>{ls(e,"Equal",{scalar:(r,t)=>`u32(${r}==${t})`,vector:(r,t)=>`vec4(${r}==${t})`},void 0,void 0,9)},Um=e=>{ls(e,"Mul",(r,t)=>`${r}*${t}`)},Vm=e=>{let r=$e("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;ls(e,"Pow",{scalar:(t,s)=>`pow_custom(${t},${s})`,vector:(t,s)=>`pow_vector_custom(${t},${s})`},` fn pow_custom(a : ${r}, b : ${r}) -> ${r} { if (b == ${r}(0.0)) { return ${r}(1.0); @@ -543,7 +543,7 @@ fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> { // TODO: implement vectorized pow return vec4<${r}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w)); } - `)},Vm=e=>{ls(e,"Sub",(r,t)=>`${r}-${t}`)},Wm=e=>{ls(e,"Greater",{scalar:(r,t)=>`u32(${r}>${t})`,vector:(r,t)=>`vec4(${r}>${t})`},void 0,void 0,9)},Gm=e=>{ls(e,"Less",{scalar:(r,t)=>`u32(${r}<${t})`,vector:(r,t)=>`vec4(${r}<${t})`},void 0,void 0,9)},Km=e=>{ls(e,"GreaterOrEqual",{scalar:(r,t)=>`u32(${r}>=${t})`,vector:(r,t)=>`vec4(${r}>=${t})`},void 0,void 0,9)},Hm=e=>{ls(e,"LessOrEqual",{scalar:(r,t)=>`u32(${r}<=${t})`,vector:(r,t)=>`vec4(${r}<=${t})`},void 0,void 0,9)}}),qm,Qm,Xm,Jm,Ym,Zm,Zb=je(()=>{pt(),yt(),Yt(),vt(),qm=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");let t=0,s=e[t],i=s.dataType,n=s.dims.length;e.forEach((o,a)=>{if(a!==t){if(o.dataType!==i)throw new Error("input tensors should be one type");if(o.dims.length!==n)throw new Error("input tensors should have the same shape");o.dims.forEach((l,d)=>{if(d!==r&&l!==s.dims[d])throw new Error("non concat dimensions must match")})}})},Qm=(e,r)=>` + `)},Wm=e=>{ls(e,"Sub",(r,t)=>`${r}-${t}`)},Gm=e=>{ls(e,"Greater",{scalar:(r,t)=>`u32(${r}>${t})`,vector:(r,t)=>`vec4(${r}>${t})`},void 0,void 0,9)},Km=e=>{ls(e,"Less",{scalar:(r,t)=>`u32(${r}<${t})`,vector:(r,t)=>`vec4(${r}<${t})`},void 0,void 0,9)},Hm=e=>{ls(e,"GreaterOrEqual",{scalar:(r,t)=>`u32(${r}>=${t})`,vector:(r,t)=>`vec4(${r}>=${t})`},void 0,void 0,9)},qm=e=>{ls(e,"LessOrEqual",{scalar:(r,t)=>`u32(${r}<=${t})`,vector:(r,t)=>`vec4(${r}<=${t})`},void 0,void 0,9)}}),Qm,Xm,Jm,Ym,Zm,e_,cv=Ue(()=>{pt(),Mt(),Yt(),xt(),Qm=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");let t=0,s=e[t],i=s.dataType,n=s.dims.length;e.forEach((o,a)=>{if(a!==t){if(o.dataType!==i)throw new Error("input tensors should be one type");if(o.dims.length!==n)throw new Error("input tensors should have the same shape");o.dims.forEach((l,d)=>{if(d!==r&&l!==s.dims[d])throw new Error("non concat dimensions must match")})}})},Xm=(e,r)=>` fn calculateInputIndex(index: u32) -> u32 { let sizeInConcatAxis = array(${r}); for (var i: u32 = 0u; i < ${e}; i += 1u ) { @@ -552,12 +552,12 @@ fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> { } } return ${e}u; - }`,Xm=(e,r)=>{let t=e.length,s=[];for(let i=0;i{let i=xe.size(t),n=new Array(e.length),o=new Array(e.length),a=0,l=[],d=[],p=[{type:12,data:i}];for(let P=0;P`uniforms.sizeInConcatAxis${P}`).join(","),_=P=>` + }`,Jm=(e,r)=>{let t=e.length,s=[];for(let i=0;i{let i=xe.size(t),n=new Array(e.length),o=new Array(e.length),a=0,l=[],d=[],p=[{type:12,data:i}];for(let P=0;P`uniforms.sizeInConcatAxis${P}`).join(","),f=P=>` ${(()=>{P.registerUniform("outputSize","u32");for(let A=0;A) -> vec4<${e}> { ${h} -= sizeInConcatAxis[inputIndex - 1u]; } - ${Xm(o,u)} - }`;return{name:"Concat",shaderCache:{hint:`${r}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:t,dataType:s}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:p}),getShaderSource:_}},Ym=(e,r)=>{let t=e.inputs,s=t[0].dims,i=xe.normalizeAxis(r.axis,s.length);qm(t,i);let n=s.slice();n[i]=t.reduce((a,l)=>a+(l.dims.length>i?l.dims[i]:0),0);let o=t.filter(a=>xe.size(a.dims)>0);e.compute(Jm(o,i,n,t[0].dataType),{inputs:o})},Zm=e=>Dt({axis:e.axis})}),_n,gn,wn,Zd,yn=je(()=>{pt(),yt(),_n=(e,r,t="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${r}(0.0));`;case"Sigmoid":return`value = (${r}(1.0) / (${r}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${r}(${t}(uniforms.clip_min)), ${r}(${t}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${r}(0.0), min(${r}(1.0), ${t}(uniforms.alpha) * value + ${t}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${t}(uniforms.alpha) * value, value, value >= ${r}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value)); + ${Jm(o,u)} + }`;return{name:"Concat",shaderCache:{hint:`${r}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:t,dataType:s}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:p}),getShaderSource:f}},Zm=(e,r)=>{let t=e.inputs,s=t[0].dims,i=xe.normalizeAxis(r.axis,s.length);Qm(t,i);let n=s.slice();n[i]=t.reduce((a,l)=>a+(l.dims.length>i?l.dims[i]:0),0);let o=t.filter(a=>xe.size(a.dims)>0);e.compute(Ym(o,i,n,t[0].dataType),{inputs:o})},e_=e=>Dt({axis:e.axis})}),fn,gn,wn,ec,yn=Ue(()=>{pt(),Mt(),fn=(e,r,t="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${r}(0.0));`;case"Sigmoid":return`value = (${r}(1.0) / (${r}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${r}(${t}(uniforms.clip_min)), ${r}(${t}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${r}(0.0), min(${r}(1.0), ${t}(uniforms.alpha) * value + ${t}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${t}(uniforms.alpha) * value, value, value >= ${r}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value)); value = sign(value) * (1.0 - e2x) / (1.0 + e2x); - `;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},gn=(e,r)=>{e.activation==="Clip"?r.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?r.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&r.push({type:1,data:e.alpha})},wn=(e,r)=>{e.activation==="Clip"?r.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?r.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&r.push({name:"alpha",type:"f32"})},Zd=e=>{let r=(e==null?void 0:e.activation)||"";if(r==="HardSigmoid"){let[t,s]=(e==null?void 0:e.activation_params)||[.2,.5];return{activation:r,alpha:t,beta:s}}else if(r==="Clip"){let[t,s]=(e==null?void 0:e.activation_params)||[Op,Dp];return{activation:r,clipMax:s,clipMin:t}}else if(r==="LeakyRelu"){let[t]=(e==null?void 0:e.activation_params)||[.01];return{activation:r,alpha:t}}return{activation:r}}}),hr,ef,ec=je(()=>{hr=(e,r)=>{switch(e){case 1:return r;case 2:return`vec2<${r}>`;case 3:return`vec3<${r}>`;case 4:return`vec4<${r}>`;default:throw new Error(`${e}-component is not supported.`)}},ef=e=>` + `;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},gn=(e,r)=>{e.activation==="Clip"?r.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?r.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&r.push({type:1,data:e.alpha})},wn=(e,r)=>{e.activation==="Clip"?r.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?r.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&r.push({name:"alpha",type:"f32"})},ec=e=>{let r=(e==null?void 0:e.activation)||"";if(r==="HardSigmoid"){let[t,s]=(e==null?void 0:e.activation_params)||[.2,.5];return{activation:r,alpha:t,beta:s}}else if(r==="Clip"){let[t,s]=(e==null?void 0:e.activation_params)||[Dp,Lp];return{activation:r,clipMax:s,clipMin:t}}else if(r==="LeakyRelu"){let[t]=(e==null?void 0:e.activation_params)||[.01];return{activation:r,alpha:t}}return{activation:r}}}),hr,t_,tc=Ue(()=>{hr=(e,r)=>{switch(e){case 1:return r;case 2:return`vec2<${r}>`;case 3:return`vec3<${r}>`;case 4:return`vec4<${r}>`;default:throw new Error(`${e}-component is not supported.`)}},t_=e=>` ${e?"value = value + getBiasByOutputCoords(coords);":""} - `}),tf,ev=je(()=>{tf=e=>` + `}),r_,uv=Ue(()=>{r_=e=>` fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 { return dot(coords, vec4( shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1)); @@ -584,20 +584,20 @@ fn getOutputIndexFromCoords(coords : vec4) -> i32 { return dot(coords, vec4( i32(${e}.x), i32(${e}.y), i32(${e}.z), 1)); } -`}),Di,tc,rc=je(()=>{pt(),yt(),vt(),yn(),Di=(e,r,t,s,i)=>{let n=s-t;return` +`}),Di,rc,sc=Ue(()=>{pt(),Mt(),xt(),yn(),Di=(e,r,t,s,i)=>{let n=s-t;return` ${Array.from({length:t}).map((o,a)=>` if (${rt(r.shape,a,r.rank)} != 1) { ${r.indicesSet(e,a,rt(i,a+n,s))} } else { ${r.indicesSet(e,a,0)} }`).join("")} -`},tc=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o[o.length-2],d=a[a.length-1],p=o[o.length-1],u=Xt(d),h=Xt(p),w=Xt(l),_=xe.size(t)/u/w,P=e.length>2,A=s?s.slice(0,-2):t.slice(0,-2),v=[xe.size(A),l,d],y=[{type:12,data:_},{type:12,data:l},{type:12,data:d},{type:12,data:p}];gn(r,y),y.push(...nt(A,o,a)),P&&y.push(...nt(e[2].dims)),y.push(...nt(v));let S=x=>{let g=Ud("batch_dims",e[0].dataType,A.length),M=$e("a",e[0].dataType,o.length,h),E=$e("b",e[1].dataType,a.length,u),k=tt("output",e[0].dataType,v.length,u),B=lr(k.type.tensor),R=_n(r,k.type.value,B),J=[M,E],q="";if(P){let H=i?u:1;J.push($e("bias",e[2].dataType,e[2].dims.length,H)),q=`${i?`value += bias[col / ${H}];`:`value += ${k.type.value}(bias[row + i]);`}`}let V=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];wn(r,V);let Y=()=>{let H=`var a_data: ${M.type.value};`;for(let Q=0;Q{let o=e[0].dims,a=e[1].dims,l=o[o.length-2],d=a[a.length-1],p=o[o.length-1],u=Xt(d),h=Xt(p),w=Xt(l),f=xe.size(t)/u/w,P=e.length>2,A=s?s.slice(0,-2):t.slice(0,-2),b=[xe.size(A),l,d],y=[{type:12,data:f},{type:12,data:l},{type:12,data:d},{type:12,data:p}];gn(r,y),y.push(...nt(A,o,a)),P&&y.push(...nt(e[2].dims)),y.push(...nt(b));let $=T=>{let g=Vd("batch_dims",e[0].dataType,A.length),M=$e("a",e[0].dataType,o.length,h),E=$e("b",e[1].dataType,a.length,u),k=tt("output",e[0].dataType,b.length,u),B=lr(k.type.tensor),N=fn(r,k.type.value,B),J=[M,E],q="";if(P){let H=i?u:1;J.push($e("bias",e[2].dataType,e[2].dims.length,H)),q=`${i?`value += bias[col / ${H}];`:`value += ${k.type.value}(bias[row + i]);`}`}let V=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];wn(r,V);let Y=()=>{let H=`var a_data: ${M.type.value};`;for(let Q=0;Q) -> i32 { for (var i = 0u; i < ${w}u; i++) { var value = values[i]; ${q} - ${R} + ${N} let cur_indices = ${k.type.indices}(batch, row + i, col); let offset = ${k.indicesToOffset("cur_indices")}; ${k.setByOffset(`offset / ${u}`,"value")}; } } - `};return{name:"MatMulNaive",shaderCache:{hint:`${r.activation};${u};${h};${w};${i}`,inputDependencies:P?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:y}),getShaderSource:S}}}),rf,sf,sc,nc,nf,ic,of,Ca,oc=je(()=>{pt(),yt(),vt(),yn(),rc(),ec(),rf=(e,r)=>e?` + `};return{name:"MatMulNaive",shaderCache:{hint:`${r.activation};${u};${h};${w};${i}`,inputDependencies:P?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:y}),getShaderSource:$}}}),s_,n_,nc,ic,i_,oc,o_,Ca,ac=Ue(()=>{pt(),Mt(),xt(),yn(),sc(),tc(),s_=(e,r)=>e?` mm_Asub[inputRow][inputCol] = mm_readA(batch, kStart + inputRow, globalRowStart / innerElementSize + inputCol${r?", batchIndices":""}); @@ -638,7 +638,7 @@ fn getOutputIndexFromCoords(coords : vec4) -> i32 { mm_Asub[inputRow][inputCol] = mm_readA(batch, globalRow + innerRow, kStart / innerElementSize + inputCol${r?", batchIndices":""}); - `,sf=(e,r)=>e?` + `,n_=(e,r)=>e?` let ACached0 = mm_Asub[k * innerElementSize][localRow]; let ACached1 = mm_Asub[k * innerElementSize + 1][localRow]; let ACached2 = mm_Asub[k * innerElementSize + 2][localRow]; @@ -655,7 +655,7 @@ fn getOutputIndexFromCoords(coords : vec4) -> i32 { acc[i] = BCached1 * ACached.y + acc[i]; acc[i] = BCached2 * ACached.z + acc[i]; ${r===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} - }`,sc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32)=>{let l=r[1]*e[1],d=r[0]*e[0],p=i?l:n,u=i?n:l,h=p/r[0],w=n/r[1];if(!((i&&h===4&&e[1]===4||!i&&(h===3||h===4))&&p%r[0]===0&&n%r[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${h} and workPerThread[1] ${e[1]} must be 4. + }`,nc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32)=>{let l=r[1]*e[1],d=r[0]*e[0],p=i?l:n,u=i?n:l,h=p/r[0],w=n/r[1];if(!((i&&h===4&&e[1]===4||!i&&(h===3||h===4))&&p%r[0]===0&&n%r[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${h} and workPerThread[1] ${e[1]} must be 4. Otherwise, innerElementSize ${h} must be 3 or 4. tileAWidth ${p} must be divisible by workgroupSize[0]${r[0]}. tileInner ${n} must be divisible by workgroupSize[1] ${r[1]}. colPerThread ${e[0]} must be 4.`);return` var mm_Asub: array, ${p/h}>, ${u}>; @@ -692,7 +692,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { let inputRow = tileRow + innerRow; let inputCol = tileCol; - ${rf(i,s)} + ${s_(i,s)} } // Load one tile of B into local memory. @@ -711,7 +711,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol]; ${h===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"} - ${sf(i,h)} + ${n_(i,h)} } workgroupBarrier(); @@ -720,7 +720,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); } -}`},nc=(e,r)=>e?` +}`},ic=(e,r)=>e?` mm_Asub[inputRow][inputCol] = mm_readA(batch, kStart + inputRow, globalRowStart + inputCol${r?", batchIndices":""}); @@ -728,7 +728,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, mm_Asub[inputRow][inputCol] = mm_readA(batch, globalRowStart + inputRow, kStart + inputCol${r?", batchIndices":""}); - `,nf=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",ic=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32,l=!1)=>{let d=e[1]*r[1],p=e[0]*r[0],u=i?d:n,h=i?n:d;if(!(h%r[1]===0&&u%r[0]===0&&n%r[1]===0))throw new Error(`tileAHight ${h} must be divisible by workgroupSize[1]${r[1]}, tileAWidth ${u} must be divisible by workgroupSize[0]${r[0]}, tileInner ${n} must be divisible by workgroupSize[1]${r[1]}`);let w=h/r[1],_=u/r[0],P=n/r[1],A=l?` + `,i_=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",oc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32,l=!1)=>{let d=e[1]*r[1],p=e[0]*r[0],u=i?d:n,h=i?n:d;if(!(h%r[1]===0&&u%r[0]===0&&n%r[1]===0))throw new Error(`tileAHight ${h} must be divisible by workgroupSize[1]${r[1]}, tileAWidth ${u} must be divisible by workgroupSize[0]${r[0]}, tileInner ${n} must be divisible by workgroupSize[1]${r[1]}`);let w=h/r[1],f=u/r[0],P=n/r[1],A=l?` let localRow = i32(localId.y); let localCol = i32(localId.x); let globalRowStart = i32(workgroupId.y) * ${d}; @@ -739,7 +739,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, // Load one tile of A into local memory. for (var inputRow = localRow; inputRow < ${h}; inputRow = inputRow + ${r[1]}) { for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${r[0]}) { - ${nc(i,s)} + ${ic(i,s)} } } // Load one tile of B into local memory. @@ -785,16 +785,16 @@ let globalCol = i32(globalId.x) * colPerThread; let globalRowStart = i32(workgroupId.y) * ${d}; let tileRowA = i32(localId.y) * ${w}; -let tileColA = i32(localId.x) * ${_}; +let tileColA = i32(localId.x) * ${f}; let tileRowB = i32(localId.y) * ${P}; // Loop over shared dimension. for (var t = 0; t < num_tiles; t = t + 1) { // Load one tile of A into local memory. for (var innerRow = 0; innerRow < ${w}; innerRow = innerRow + 1) { - for (var innerCol = 0; innerCol < ${_}; innerCol = innerCol + 1) { + for (var innerCol = 0; innerCol < ${f}; innerCol = innerCol + 1) { let inputRow = tileRowA + innerRow; let inputCol = tileColA + innerCol; - ${nc(i,s)} + ${ic(i,s)} } } @@ -819,7 +819,7 @@ for (var t = 0; t < num_tiles; t = t + 1) { } for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { - ${nf(i)} + ${i_(i)} for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; } @@ -854,7 +854,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, var acc : array, rowPerThread>; ${A} } -`},of=(e,r,t,s,i=!1)=>{let[n,o,a,l]=s,d=lr(s[0].type.tensor);return` +`},o_=(e,r,t,s,i=!1)=>{let[n,o,a,l]=s,d=lr(s[0].type.tensor);return` fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${n.type.indices}) -> ${hr(e,d)} { var value = ${hr(e,d)}(0.0); let col = colIn * ${e}; @@ -893,11 +893,11 @@ fn main(@builtin(local_invocation_id) localId : vec3, ${l.setByIndices("vec3(coords)","value")} } } - `},Ca=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o.slice(0,-2),d=a.slice(0,-2),p=s?s.slice(0,-2):t.slice(0,-2),u=xe.size(p),h=o[o.length-2],w=o[o.length-1],_=a[a.length-1],P=w%4===0&&_%4===0,A=h<=8?[4,1,1]:[4,4,1],v=[8,8,1],y=[Math.ceil(_/v[0]/A[0]),Math.ceil(h/v[1]/A[1]),Math.ceil(u/v[2]/A[2])],S=P?4:1,x=[...l,h,w/S],g=x.length,M=[...d,w,_/S],E=M.length,k=[u,h,_/S],B=[{type:6,data:h},{type:6,data:_},{type:6,data:w}];gn(r,B),B.push(...nt(p,x,M));let R=["rank","rank"],J=e.length>2;J&&(B.push(...nt(e[2].dims)),R.push("rank")),B.push(...nt(k));let q=V=>{let Y=p.length,H=Ud("batchDims",e[0].dataType,Y,1),Q=lr(e[0].dataType),ie=$e("a",e[0].dataType,g,S),le=$e("b",e[1].dataType,E,S),ae=tt("result",e[0].dataType,k.length,S),ge=[ie,le];if(J){let X=i?S:1;ge.push($e("bias",e[2].dataType,e[2].dims.length,X))}let N=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];wn(r,N);let O=lr(ae.type.tensor),G=_n(r,ae.type.value,O),ne=of(S,J,G,[H,ie,le,ae],i);return` - ${V.registerUniforms(N).registerInternalVariables(H).declareVariables(...ge,ae)} + `},Ca=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o.slice(0,-2),d=a.slice(0,-2),p=s?s.slice(0,-2):t.slice(0,-2),u=xe.size(p),h=o[o.length-2],w=o[o.length-1],f=a[a.length-1],P=w%4===0&&f%4===0,A=h<=8?[4,1,1]:[4,4,1],b=[8,8,1],y=[Math.ceil(f/b[0]/A[0]),Math.ceil(h/b[1]/A[1]),Math.ceil(u/b[2]/A[2])],$=P?4:1,T=[...l,h,w/$],g=T.length,M=[...d,w,f/$],E=M.length,k=[u,h,f/$],B=[{type:6,data:h},{type:6,data:f},{type:6,data:w}];gn(r,B),B.push(...nt(p,T,M));let N=["rank","rank"],J=e.length>2;J&&(B.push(...nt(e[2].dims)),N.push("rank")),B.push(...nt(k));let q=V=>{let Y=p.length,H=Vd("batchDims",e[0].dataType,Y,1),Q=lr(e[0].dataType),ie=$e("a",e[0].dataType,g,$),le=$e("b",e[1].dataType,E,$),ae=tt("result",e[0].dataType,k.length,$),we=[ie,le];if(J){let X=i?$:1;we.push($e("bias",e[2].dataType,e[2].dims.length,X))}let R=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];wn(r,R);let O=lr(ae.type.tensor),G=fn(r,ae.type.value,O),ne=o_($,J,G,[H,ie,le,ae],i);return` + ${V.registerUniforms(R).registerInternalVariables(H).declareVariables(...we,ae)} ${ne} - ${P?sc(A,v,Q,H):ic(A,v,Q,H)} - `};return{name:"MatMul",shaderCache:{hint:`${A};${r.activation};${P};${i}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:B}),getShaderSource:q}}}),af,lf,tv=je(()=>{pt(),ks(),vt(),yn(),ec(),ev(),oc(),af=(e,r,t,s,i=!1,n,o=4,a=4,l=4,d="f32")=>{let p=B=>{switch(B){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${d}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},u=B=>{switch(B){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},h=e?` + ${P?nc(A,b,Q,H):oc(A,b,Q,H)} + `};return{name:"MatMul",shaderCache:{hint:`${A};${r.activation};${P};${i}`,inputDependencies:N},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:B}),getShaderSource:q}}}),a_,l_,pv=Ue(()=>{pt(),ks(),xt(),yn(),tc(),uv(),ac(),a_=(e,r,t,s,i=!1,n,o=4,a=4,l=4,d="f32")=>{let p=B=>{switch(B){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${d}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},u=B=>{switch(B){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},h=e?` let coord = vec4(batch, xRow, xCol, xCh); `:` let coord = vec4(batch, xCh, xRow, xCol); @@ -913,26 +913,26 @@ fn main(@builtin(local_invocation_id) localId : vec3, row, col / outWidth, col % outWidth); - `,_=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",P=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",v=e?"col":"row",y=` + `,f=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",P=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",b=e?"col":"row",y=` let inChannels = i32(uniforms.w_shape[2]); let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; let outRow = ${A} / outWidth; let outCol = ${A} % outWidth; - let WRow = ${v} / (i32(uniforms.w_shape[1]) * inChannels); - let WCol = ${v} / inChannels % i32(uniforms.w_shape[1]); + let WRow = ${b} / (i32(uniforms.w_shape[1]) * inChannels); + let WCol = ${b} / inChannels % i32(uniforms.w_shape[1]); let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; - let xCh = ${v} % inChannels; + let xCh = ${b} % inChannels; var resData = ${hr(o,d)}(0.0); // The bounds checking is always needed since we use it to pad zero for // the 'same' padding type. - if (xRow >= 0 && xRow < ${_} && xCol >= 0 && xCol < ${P}) { + if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${P}) { ${h} let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape)); ${p(o)} } - return resData;`,S=e?r&&s?` + return resData;`,$=e?r&&s?` let col = colIn * ${o}; ${y}`:` let col = colIn * ${o}; @@ -946,7 +946,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { ${y} } - return ${hr(o,d)}(0.0);`,x=e?s&&t?u(a):` + return ${hr(o,d)}(0.0);`,T=e?s&&t?u(a):` let col = colIn * ${a}; if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { ${u(a)} @@ -956,13 +956,13 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) { ${u(a)} } - return ${hr(a,d)}(0.0);`,g=hr(l,d),M=hr(e?o:a,d),E=hr(e?a:o,d),k=_n(n,g,d);return` + return ${hr(a,d)}(0.0);`,g=hr(l,d),M=hr(e?o:a,d),E=hr(e?a:o,d),k=fn(n,g,d);return` fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${M} { - ${e?S:x} + ${e?$:T} } fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} { - ${e?x:S} + ${e?T:$} } fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${g}) { @@ -972,57 +972,57 @@ fn main(@builtin(local_invocation_id) localId : vec3, var value = valueIn; let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; ${w} - ${ef(i)} + ${t_(i)} ${k} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } - }`},lf=(e,r,t,s,i,n,o,a,l)=>{let d=r.format==="NHWC",p=d?e[0].dims[3]:e[0].dims[1],u=t[0],h=d?t[2]:t[3],w=d?t[1]:t[2],_=d?t[3]:t[1],P=d&&(p%4===0||p%3===0)&&_%4===0,A=d?_:h*w,v=d?h*w:_,y=[8,8,1],S=s<=8?[4,1,1]:[4,4,1],x=[Math.ceil(A/y[0]/S[0]),Math.ceil(v/y[1]/S[1]),Math.ceil(u/y[2]/S[2])];St("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${x}`);let g=P?d&&p%4!==0?3:4:1,M=y[1]*S[1],E=y[0]*S[0],k=Math.max(y[0]*g,y[1]),B=s%M===0,R=i%E===0,J=n%k===0,q=P?[g,4,4]:[1,1,1],V=[{type:6,data:s},{type:6,data:i},{type:6,data:n},{type:6,data:[r.pads[0],r.pads[1]]},{type:6,data:r.strides},{type:6,data:r.dilations}];gn(r,V),V.push(...nt(e[0].dims,e[1].dims));let Y=["rank","rank"];o&&(V.push(...nt(e[2].dims)),Y.push("rank")),V.push(...nt(t));let H=Q=>{let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];wn(r,ie);let le=P?4:1,ae=lr(e[0].dataType),ge=` + }`},l_=(e,r,t,s,i,n,o,a,l)=>{let d=r.format==="NHWC",p=d?e[0].dims[3]:e[0].dims[1],u=t[0],h=d?t[2]:t[3],w=d?t[1]:t[2],f=d?t[3]:t[1],P=d&&(p%4===0||p%3===0)&&f%4===0,A=d?f:h*w,b=d?h*w:f,y=[8,8,1],$=s<=8?[4,1,1]:[4,4,1],T=[Math.ceil(A/y[0]/$[0]),Math.ceil(b/y[1]/$[1]),Math.ceil(u/y[2]/$[2])];St("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${T}`);let g=P?d&&p%4!==0?3:4:1,M=y[1]*$[1],E=y[0]*$[0],k=Math.max(y[0]*g,y[1]),B=s%M===0,N=i%E===0,J=n%k===0,q=P?[g,4,4]:[1,1,1],V=[{type:6,data:s},{type:6,data:i},{type:6,data:n},{type:6,data:[r.pads[0],r.pads[1]]},{type:6,data:r.strides},{type:6,data:r.dilations}];gn(r,V),V.push(...nt(e[0].dims,e[1].dims));let Y=["rank","rank"];o&&(V.push(...nt(e[2].dims)),Y.push("rank")),V.push(...nt(t));let H=Q=>{let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];wn(r,ie);let le=P?4:1,ae=lr(e[0].dataType),we=` fn setOutputAtIndex(flatIndex : i32, value : ${P?`vec4<${ae}>`:ae}) { result[flatIndex] = ${P?`vec4<${ae}>`:ae}(value); } fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${P?`vec4<${ae}>`:ae}) { let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3)); setOutputAtIndex(flatIndex ${P?"/ 4":""}, value); - }`,N=$e("x",e[0].dataType,e[0].dims.length,g===3?1:g),O=$e("w",e[1].dataType,e[1].dims.length,le),G=[N,O],ne=tt("result",e[0].dataType,t.length,le);if(o){let X=$e("bias",e[2].dataType,e[2].dims.length,le);G.push(X),ge+=` + }`,R=$e("x",e[0].dataType,e[0].dims.length,g===3?1:g),O=$e("w",e[1].dataType,e[1].dims.length,le),G=[R,O],ne=tt("result",e[0].dataType,t.length,le);if(o){let X=$e("bias",e[2].dataType,e[2].dims.length,le);G.push(X),we+=` fn getBiasByOutputCoords(coords : vec4) -> ${P?`vec4<${ae}>`:ae} { return bias[coords.${d?"w":"y"}${P?"/ 4":""}]; }`}return` - ${tf("uniforms.result_strides")} + ${r_("uniforms.result_strides")} //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4, // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2, // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 }; ${Q.registerUniforms(ie).declareVariables(...G,ne)} - ${ge} - ${af(d,B,R,J,o,r,q[0],q[1],q[2],ae)} - ${P?sc(S,y,ae,void 0,!d,k):ic(S,y,ae,void 0,!d,k,!1,void 0,a)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${r.cacheKey};${g};${P};${B};${R};${J};${M};${E};${k}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:l?l(t):t,dataType:e[0].dataType}],dispatchGroup:{x:x[0],y:x[1],z:x[2]},programUniforms:V}),getShaderSource:H}}}),df,ac,Li,cf,lc,uf,pf,hf,rv=je(()=>{pt(),ks(),yt(),vt(),yn(),ec(),df=e=>{let r=1;for(let t=0;ttypeof e=="number"?[e,e,e]:e,Li=(e,r)=>r<=1?e:e+(e-1)*(r-1),cf=(e,r,t,s=1)=>{let i=Li(r,s);return Math.floor((e[0]*(t-1)-t+i)/2)},lc=(e,r,t,s,i)=>{i==null&&(i=cf(e,r[0],s[0]));let n=[0,0,0,t];for(let o=0;o<3;o++)e[o]+2*i>=r[o]&&(n[o]=Math.trunc((e[o]-r[o]+2*i)/s[o]+1));return n},uf=(e,r,t,s,i,n,o,a,l,d)=>{let p,u,h,w;if(e==="VALID"&&(e=0),typeof e=="number"){p={top:e,bottom:e,left:e,right:e,front:e,back:e};let _=lc([r,t,s,1],[a,l,d],1,[i,n,o],e);u=_[0],h=_[1],w=_[2]}else if(Array.isArray(e)){if(!e.every((P,A,v)=>P===v[0]))throw Error(`Unsupported padding parameter: ${e}`);p={top:e[0],bottom:e[1],left:e[2],right:e[3],front:e[4],back:e[5]};let _=lc([r,t,s,1],[a,l,d],1,[i,n,o],e[0]);u=_[0],h=_[1],w=_[2]}else if(e==="SAME_UPPER"){u=Math.ceil(r/i),h=Math.ceil(t/n),w=Math.ceil(s/o);let _=(u-1)*i+a-r,P=(h-1)*n+l-t,A=(w-1)*o+d-s,v=Math.floor(_/2),y=_-v,S=Math.floor(P/2),x=P-S,g=Math.floor(A/2),M=A-g;p={top:S,bottom:x,left:g,right:M,front:v,back:y}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:p,outDepth:u,outHeight:h,outWidth:w}},pf=(e,r,t,s,i,n=!1,o="channelsLast")=>{let a,l,d,p,u;if(o==="channelsLast")[a,l,d,p,u]=e;else if(o==="channelsFirst")[a,u,l,d,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[h,,w,_,P]=r,[A,v,y]=ac(t),[S,x,g]=ac(s),M=Li(w,S),E=Li(_,x),k=Li(P,g),{padInfo:B,outDepth:R,outHeight:J,outWidth:q}=uf(i,l,d,p,A,v,y,M,E,k),V=n?h*u:h,Y=[0,0,0,0,0];return o==="channelsFirst"?Y=[a,V,R,J,q]:o==="channelsLast"&&(Y=[a,R,J,q,V]),{batchSize:a,dataFormat:o,inDepth:l,inHeight:d,inWidth:p,inChannels:u,outDepth:R,outHeight:J,outWidth:q,outChannels:V,padInfo:B,strideDepth:A,strideHeight:v,strideWidth:y,filterDepth:w,filterHeight:_,filterWidth:P,effectiveFilterDepth:M,effectiveFilterHeight:E,effectiveFilterWidth:k,dilationDepth:S,dilationHeight:x,dilationWidth:g,inShape:e,outShape:Y,filterShape:r}},hf=(e,r,t,s,i,n)=>{let o=n==="channelsLast";o?e[0].dims[3]:e[0].dims[1];let a=[64,1,1],l={x:t.map((A,v)=>v)},d=[Math.ceil(df(l.x.map(A=>t[A]))/a[0]),1,1];St("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${d}`);let p=1,u=xe.size(t),h=[{type:12,data:u},{type:12,data:s},{type:12,data:i},{type:12,data:r.strides},{type:12,data:r.dilations}];gn(r,h),h.push(...nt(e[0].dims,e[1].dims));let w=["rank","rank"],_=e.length===3;_&&(h.push(...nt(e[2].dims)),w.push("rank")),h.push(...nt(t));let P=A=>{let v=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:s.length},{name:"pads",type:"u32",length:i.length},{name:"strides",type:"u32",length:r.strides.length},{name:"dilations",type:"u32",length:r.dilations.length}];wn(r,v);let y=1,S=lr(e[0].dataType),x=$e("x",e[0].dataType,e[0].dims.length,p),g=$e("W",e[1].dataType,e[1].dims.length,y),M=[x,g],E=tt("result",e[0].dataType,t.length,y),k="";if(_){let J=$e("bias",e[2].dataType,e[2].dims.length,y);M.push(J),k+=` - fn getBiasByOutputCoords(coords : array) -> ${S} { + ${we} + ${a_(d,B,N,J,o,r,q[0],q[1],q[2],ae)} + ${P?nc($,y,ae,void 0,!d,k):oc($,y,ae,void 0,!d,k,!1,void 0,a)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${r.cacheKey};${g};${P};${B};${N};${J};${M};${E};${k}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:l?l(t):t,dataType:e[0].dataType}],dispatchGroup:{x:T[0],y:T[1],z:T[2]},programUniforms:V}),getShaderSource:H}}}),d_,lc,Li,c_,dc,u_,p_,h_,hv=Ue(()=>{pt(),ks(),Mt(),xt(),yn(),tc(),d_=e=>{let r=1;for(let t=0;ttypeof e=="number"?[e,e,e]:e,Li=(e,r)=>r<=1?e:e+(e-1)*(r-1),c_=(e,r,t,s=1)=>{let i=Li(r,s);return Math.floor((e[0]*(t-1)-t+i)/2)},dc=(e,r,t,s,i)=>{i==null&&(i=c_(e,r[0],s[0]));let n=[0,0,0,t];for(let o=0;o<3;o++)e[o]+2*i>=r[o]&&(n[o]=Math.trunc((e[o]-r[o]+2*i)/s[o]+1));return n},u_=(e,r,t,s,i,n,o,a,l,d)=>{let p,u,h,w;if(e==="VALID"&&(e=0),typeof e=="number"){p={top:e,bottom:e,left:e,right:e,front:e,back:e};let f=dc([r,t,s,1],[a,l,d],1,[i,n,o],e);u=f[0],h=f[1],w=f[2]}else if(Array.isArray(e)){if(!e.every((P,A,b)=>P===b[0]))throw Error(`Unsupported padding parameter: ${e}`);p={top:e[0],bottom:e[1],left:e[2],right:e[3],front:e[4],back:e[5]};let f=dc([r,t,s,1],[a,l,d],1,[i,n,o],e[0]);u=f[0],h=f[1],w=f[2]}else if(e==="SAME_UPPER"){u=Math.ceil(r/i),h=Math.ceil(t/n),w=Math.ceil(s/o);let f=(u-1)*i+a-r,P=(h-1)*n+l-t,A=(w-1)*o+d-s,b=Math.floor(f/2),y=f-b,$=Math.floor(P/2),T=P-$,g=Math.floor(A/2),M=A-g;p={top:$,bottom:T,left:g,right:M,front:b,back:y}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:p,outDepth:u,outHeight:h,outWidth:w}},p_=(e,r,t,s,i,n=!1,o="channelsLast")=>{let a,l,d,p,u;if(o==="channelsLast")[a,l,d,p,u]=e;else if(o==="channelsFirst")[a,u,l,d,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[h,,w,f,P]=r,[A,b,y]=lc(t),[$,T,g]=lc(s),M=Li(w,$),E=Li(f,T),k=Li(P,g),{padInfo:B,outDepth:N,outHeight:J,outWidth:q}=u_(i,l,d,p,A,b,y,M,E,k),V=n?h*u:h,Y=[0,0,0,0,0];return o==="channelsFirst"?Y=[a,V,N,J,q]:o==="channelsLast"&&(Y=[a,N,J,q,V]),{batchSize:a,dataFormat:o,inDepth:l,inHeight:d,inWidth:p,inChannels:u,outDepth:N,outHeight:J,outWidth:q,outChannels:V,padInfo:B,strideDepth:A,strideHeight:b,strideWidth:y,filterDepth:w,filterHeight:f,filterWidth:P,effectiveFilterDepth:M,effectiveFilterHeight:E,effectiveFilterWidth:k,dilationDepth:$,dilationHeight:T,dilationWidth:g,inShape:e,outShape:Y,filterShape:r}},h_=(e,r,t,s,i,n)=>{let o=n==="channelsLast";o?e[0].dims[3]:e[0].dims[1];let a=[64,1,1],l={x:t.map((A,b)=>b)},d=[Math.ceil(d_(l.x.map(A=>t[A]))/a[0]),1,1];St("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${d}`);let p=1,u=xe.size(t),h=[{type:12,data:u},{type:12,data:s},{type:12,data:i},{type:12,data:r.strides},{type:12,data:r.dilations}];gn(r,h),h.push(...nt(e[0].dims,e[1].dims));let w=["rank","rank"],f=e.length===3;f&&(h.push(...nt(e[2].dims)),w.push("rank")),h.push(...nt(t));let P=A=>{let b=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:s.length},{name:"pads",type:"u32",length:i.length},{name:"strides",type:"u32",length:r.strides.length},{name:"dilations",type:"u32",length:r.dilations.length}];wn(r,b);let y=1,$=lr(e[0].dataType),T=$e("x",e[0].dataType,e[0].dims.length,p),g=$e("W",e[1].dataType,e[1].dims.length,y),M=[T,g],E=tt("result",e[0].dataType,t.length,y),k="";if(f){let J=$e("bias",e[2].dataType,e[2].dims.length,y);M.push(J),k+=` + fn getBiasByOutputCoords(coords : array) -> ${$} { return bias[${o?rt("coords",4,5):rt("coords",1,5)}]; - }`}let B=hr(p,S),R=_n(r,B,S);return` + }`}let B=hr(p,$),N=fn(r,B,$);return` ${k} fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { let aIndices = array(d0, d1, d2, d3, d4); - return ${x.getByIndices("aIndices")}; + return ${T.getByIndices("aIndices")}; } fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 { let aIndices = array(d0, d1, d2, d3, d4); return ${g.getByIndices("aIndices")}; } - ${A.registerUniforms(v).declareVariables(...M,E)} + ${A.registerUniforms(b).declareVariables(...M,E)} ${A.mainStart()} ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let coords = ${E.offsetToIndices("global_idx")}; - let batch = ${rt("coords",0,x.rank)}; - let d2 = ${o?rt("coords",x.rank-1,x.rank):rt("coords",1,x.rank)}; - let xFRCCorner = vec3(${o?rt("coords",1,x.rank):rt("coords",2,x.rank)}, - ${o?rt("coords",2,x.rank):rt("coords",3,x.rank)}, - ${o?rt("coords",3,x.rank):rt("coords",4,x.rank)}) * uniforms.strides - uniforms.pads; + let batch = ${rt("coords",0,T.rank)}; + let d2 = ${o?rt("coords",T.rank-1,T.rank):rt("coords",1,T.rank)}; + let xFRCCorner = vec3(${o?rt("coords",1,T.rank):rt("coords",2,T.rank)}, + ${o?rt("coords",2,T.rank):rt("coords",3,T.rank)}, + ${o?rt("coords",3,T.rank):rt("coords",4,T.rank)}) * uniforms.strides - uniforms.pads; let xFCorner = xFRCCorner.x; let xRCorner = xFRCCorner.y; let xCCorner = xFRCCorner.z; - let xShapeY = ${o?rt("uniforms.x_shape",1,x.rank):rt("uniforms.x_shape",2,x.rank)}; - let xShapeZ = ${o?rt("uniforms.x_shape",2,x.rank):rt("uniforms.x_shape",3,x.rank)}; - let xShapeW = ${o?rt("uniforms.x_shape",3,x.rank):rt("uniforms.x_shape",4,x.rank)}; - let xShapeU = ${o?rt("uniforms.x_shape",4,x.rank):rt("uniforms.x_shape",1,x.rank)}; + let xShapeY = ${o?rt("uniforms.x_shape",1,T.rank):rt("uniforms.x_shape",2,T.rank)}; + let xShapeZ = ${o?rt("uniforms.x_shape",2,T.rank):rt("uniforms.x_shape",3,T.rank)}; + let xShapeW = ${o?rt("uniforms.x_shape",3,T.rank):rt("uniforms.x_shape",4,T.rank)}; + let xShapeU = ${o?rt("uniforms.x_shape",4,T.rank):rt("uniforms.x_shape",1,T.rank)}; let inputDepthNearestVec4 = (xShapeU / 4) * 4; let inputDepthVec4Remainder = xShapeU % 4; @@ -1099,10 +1099,10 @@ fn main(@builtin(local_invocation_id) localId : vec3, } } } - ${_?"value = value + getBiasByOutputCoords(coords)":""}; - ${R} + ${f?"value = value + getBiasByOutputCoords(coords)":""}; + ${N} result[global_idx] = f32(value); - }`};return{name:"Conv3DNaive",shaderCache:{hint:`${r.cacheKey};${o};${p};${_}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:d[0],y:d[1],z:d[2]},programUniforms:h}),getShaderSource:P}}}),mf,ff,sv=je(()=>{pt(),yt(),vt(),yn(),mf=(e,r,t,s)=>{let i=e.length>2,n=i?"value += b[output_channel];":"",o=e[0].dims,a=e[1].dims,l=r.format==="NHWC",d=l?t[3]:t[1],p=d/r.group,u=l&&p>=4?Xt(d):1,h=xe.size(t)/u,w=[{type:12,data:h},{type:12,data:r.dilations},{type:12,data:[r.strides[0],r.strides[1]]},{type:12,data:[r.pads[0],r.pads[1]]},{type:12,data:p}];gn(r,w),w.push(...nt(o,[a[0],a[1],a[2],a[3]/u]));let _=i?["rank","rank","rank"]:["rank","rank"];w.push(...nt([t[0],t[1],t[2],t[3]/u]));let P=A=>{let v=tt("output",e[0].dataType,t.length,u),y=lr(v.type.tensor),S=_n(r,v.type.value,y),x=$e("x",e[0].dataType,o.length),g=$e("w",e[1].dataType,a.length,u),M=[x,g];i&&M.push($e("b",e[2].dataType,e[2].dims,u));let E=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:r.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];wn(r,E);let k=l?` + }`};return{name:"Conv3DNaive",shaderCache:{hint:`${r.cacheKey};${o};${p};${f}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:d[0],y:d[1],z:d[2]},programUniforms:h}),getShaderSource:P}}}),m_,__,mv=Ue(()=>{pt(),Mt(),xt(),yn(),m_=(e,r,t,s)=>{let i=e.length>2,n=i?"value += b[output_channel];":"",o=e[0].dims,a=e[1].dims,l=r.format==="NHWC",d=l?t[3]:t[1],p=d/r.group,u=l&&p>=4?Xt(d):1,h=xe.size(t)/u,w=[{type:12,data:h},{type:12,data:r.dilations},{type:12,data:[r.strides[0],r.strides[1]]},{type:12,data:[r.pads[0],r.pads[1]]},{type:12,data:p}];gn(r,w),w.push(...nt(o,[a[0],a[1],a[2],a[3]/u]));let f=i?["rank","rank","rank"]:["rank","rank"];w.push(...nt([t[0],t[1],t[2],t[3]/u]));let P=A=>{let b=tt("output",e[0].dataType,t.length,u),y=lr(b.type.tensor),$=fn(r,b.type.value,y),T=$e("x",e[0].dataType,o.length),g=$e("w",e[1].dataType,a.length,u),M=[T,g];i&&M.push($e("b",e[2].dataType,e[2].dims,u));let E=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:r.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];wn(r,E);let k=l?` for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) { let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; @@ -1118,7 +1118,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) { let input_channel = in_channel_offset + wInChannel; - let xVal = ${x.get("batch","xHeight","xWidth","input_channel")}; + let xVal = ${T.get("batch","xHeight","xWidth","input_channel")}; let wVal = ${g.get("wHeight","wWidth","wInChannel","output_channel")}; value += xVal * wVal; } @@ -1140,34 +1140,34 @@ fn main(@builtin(local_invocation_id) localId : vec3, continue; } - let xVal = ${x.get("batch","input_channel","xHeight","xWidth")}; + let xVal = ${T.get("batch","input_channel","xHeight","xWidth")}; let wVal = ${g.get("output_channel","wInChannel","wHeight","wWidth")}; value += xVal * wVal; } } } `;return` - ${A.registerUniforms(E).declareVariables(...M,v)} + ${A.registerUniforms(E).declareVariables(...M,b)} ${A.mainStart()} ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} - let outputIndices = ${v.offsetToIndices("global_idx")}; + let outputIndices = ${b.offsetToIndices("global_idx")}; let batch: u32 = outputIndices[0]; let output_channel: u32 = outputIndices[${l?3:1}]; let xRCCorner: vec2 = vec2(outputIndices[${l?1:2}], outputIndices[${l?2:3}]) * uniforms.strides - uniforms.pads; let group_id: u32 = output_channel * ${u} / uniforms.output_channels_per_group; var in_channel_offset = group_id * uniforms.w_shape[${l?2:1}]; - var value: ${v.type.value} = ${v.type.value}(0); + var value: ${b.type.value} = ${b.type.value}(0); ${k} ${n} - ${S} - ${v.setByOffset("global_idx","value")} - }`};return{name:"GroupedConv",shaderCache:{hint:`${r.cacheKey}_${u}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},ff=(e,r,t,s)=>{let i=e.length>2,n=Xt(t[3]),o=Xt(t[2]),a=xe.size(t)/n/o,l=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/n],d=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/n],p=[t[0],t[1],t[2],t[3]/n],u=[{type:12,data:a},{type:6,data:[r.strides[0],r.strides[1]]},{type:6,data:[r.pads[0],r.pads[1]]}];gn(r,u),u.push(...nt(l,d,p));let h=(o-1)*r.strides[1]+d[1],w=_=>{let P=tt("output",e[0].dataType,p.length,n),A=lr(P.type.tensor),v=_n(r,P.type.value,A),y=$e("x",e[0].dataType,l.length,n),S=$e("w",e[1].dataType,d.length,n),x=[y,S];i&&x.push($e("b",e[2].dataType,e[2].dims,n));let g=i?"value += b[output_channel];":"",M=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return wn(r,M),` - ${_.registerUniforms(M).declareVariables(...x,P)} - ${_.mainStart()} - ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${$} + ${b.setByOffset("global_idx","value")} + }`};return{name:"GroupedConv",shaderCache:{hint:`${r.cacheKey}_${u}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},__=(e,r,t,s)=>{let i=e.length>2,n=Xt(t[3]),o=Xt(t[2]),a=xe.size(t)/n/o,l=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/n],d=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/n],p=[t[0],t[1],t[2],t[3]/n],u=[{type:12,data:a},{type:6,data:[r.strides[0],r.strides[1]]},{type:6,data:[r.pads[0],r.pads[1]]}];gn(r,u),u.push(...nt(l,d,p));let h=(o-1)*r.strides[1]+d[1],w=f=>{let P=tt("output",e[0].dataType,p.length,n),A=lr(P.type.tensor),b=fn(r,P.type.value,A),y=$e("x",e[0].dataType,l.length,n),$=$e("w",e[1].dataType,d.length,n),T=[y,$];i&&T.push($e("b",e[2].dataType,e[2].dims,n));let g=i?"value += b[output_channel];":"",M=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return wn(r,M),` + ${f.registerUniforms(M).declareVariables(...T,P)} + ${f.mainStart()} + ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let width0 = uniforms.output_shape[3]; let output_channel = global_idx % width0; var index1 = global_idx / width0; @@ -1195,7 +1195,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, } } for (var w_width: u32 = 0u; w_width < ${d[1]}; w_width++) { - let w_val = ${S.get("w_height","w_width","0","output_channel")}; + let w_val = ${$.get("w_height","w_width","0","output_channel")}; for (var i = 0u; i < ${o}u; i++) { values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]); } @@ -1206,10 +1206,10 @@ fn main(@builtin(local_invocation_id) localId : vec3, for (var i = 0u; i < ${o}u; i++) { var value = values[i]; ${g} - ${v} + ${b} ${P.set("batch","row","col + i","output_channel","value")}; } - }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${r.cacheKey};${n};${o};${h};${d[0]};${d[1]}`,inputDependencies:i?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:u}),getShaderSource:w}}}),_f,Sa,gf,$a,dc,cc,wf,yf,uc,nv=je(()=>{yt(),tv(),rv(),oc(),sv(),yn(),rc(),Gs(),_f=(e,r,t,s,i,n)=>{let o=e[0],a=e.slice(n?1:2,n?3:4),l=a.length,d=r[0],p=r.slice(2).map((h,w)=>h+(h-1)*(t[w]-1)),u=a.map((h,w)=>h+s[w]+s[w+l]).map((h,w)=>Math.floor((h-p[w]+i[w])/i[w]));return u.splice(0,0,o),u.splice(n?3:1,0,d),u},Sa=[2,3,1,0],gf=(e,r)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length>5)throw new Error("greater than 5D is not supported");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let t=e[0].dims[r.format==="NHWC"?e[0].dims.length-1:1],s=e[1].dims[1]*r.group;if(t!==s)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(e.length===3&&(e[2].dims.length!==1||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");let i=e[0].dims.length-2;if(r.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(r.strides.length!==i)throw new Error(`strides should be ${i}D`);if(r.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(r.kernelShape.length!==0&&r.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape")},$a=(e,r)=>{let t=e.kernelShape.slice();t.length{let r=Zd(e),t=e.format,s=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],i=e.dilations,n=e.group,o=e.kernel_shape,a=e.pads,l=e.strides,d=e.w_is_const();return{autoPad:s,format:t,dilations:i,group:n,kernelShape:o,pads:a,strides:l,wIsConst:d,...r,cacheKey:`${e.format};${r.activation};`}},cc=(e,r,t,s)=>{let i=t.format==="NHWC",n=_f(r[0].dims,r[1].dims,t.dilations,t.pads,t.strides,i);if(t.group!==1){let M=[r[0]];if(i){let E=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=E),M.push(E)}else M.push(r[1]);r.length===3&&M.push(r[2]),!e.adapterInfo.isArchitecture("ampere")&&i&&r[1].dims[0]===t.group&&r[1].dims[1]===1&&t.dilations[0]===1&&t.dilations[1]===1?e.compute(ff(M,t,n,s),{inputs:M}):e.compute(mf(M,t,n,s),{inputs:M});return}let o=r.length===3,a=r[0].dims[i?1:2],l=r[0].dims[i?2:3],d=r[0].dims[i?3:1],p=r[1].dims[2],u=r[1].dims[3],h=n[i?1:2],w=n[i?2:3],_=n[i?3:1],P=i&&p===a&&u===l&&t.pads[0]===0&&t.pads[1]===0;if(P||p===1&&u===1&&t.dilations[0]===1&&t.dilations[1]===1&&t.strides[0]===1&&t.strides[1]===1&&t.pads[0]===0&&t.pads[1]===0){let M=n[0],E,k,B,R=[];if(i){let V=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];if(t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=V),P){let Y=a*l*d;E=r[0].reshape([1,M,Y]),k=V.reshape([1,Y,_]),B=[1,M,_]}else E=r[0].reshape([M,a*l,d]),k=V.reshape([1,d,_]),B=[M,h*w,_];R.push(E),R.push(k)}else E=r[0].reshape([M,d,a*l]),k=r[1].reshape([1,_,d]),B=[M,_,h*w],R.push(k),R.push(E);o&&R.push(r[2]);let J=B[2],q=R[0].dims[R[0].dims.length-1];J<8&&q<8?e.compute(tc(R,t,n,B,i,s),{inputs:R}):e.compute(Ca(R,t,n,B,i,s),{inputs:R});return}let A=!0,v=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=v);let y=[r[0],v];o&&y.push(r[2]);let S=i?h*w:_,x=i?_:h*w,g=p*u*d;e.compute(lf(y,t,n,S,x,g,o,A,s),{inputs:y})},wf=(e,r)=>{let t=r.format==="NHWC",s=[e.inputs[0].reshape(t?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&s.push(e.inputs[2]);let i=[0,r.pads[0],0,r.pads[1]],n=[1].concat(r.strides),o=[1].concat(r.dilations),a=[1].concat(r.kernelShape),l=$a({...r,pads:i,strides:n,dilations:o,kernelShape:a},s);cc(e,s,l,d=>t?[d[0],d[2],d[3]]:[d[0],d[1],d[3]])},yf=(e,r,t)=>{let s=t.format==="NHWC"?"channelsLast":"channelsFirst",i=$a(t,r),n=t.autoPad==="NOTSET"?t.pads:t.autoPad,o=pf(r[0].dims,r[1].dims,t.strides,t.dilations,n,!1,s);e.compute(hf(r,i,o.outShape,[o.filterDepth,o.filterHeight,o.filterWidth],[o.padInfo.front,o.padInfo.top,o.padInfo.left],s))},uc=(e,r)=>{if(gf(e.inputs,r),e.inputs[0].dims.length===3)wf(e,r);else if(e.inputs[0].dims.length===5)yf(e,e.inputs,r);else{let t=$a(r,e.inputs);cc(e,e.inputs,t)}}}),Mf,iv=je(()=>{pt(),ks(),yt(),vt(),Mf=(e,r,t)=>{let s=e.length>2,i=r.outputShape,n=r.format==="NHWC",o=r.group,a=e[1].dims,l=a[2]/o,d=a[3],p=n?Xt(l):1,u=n&&d===1&&l>=4,h=u?Math.floor(l/4)*4:Math.floor(l/p)*p,w=l-h,_=n?Xt(d):1,P=n?d===1?p:_:1,A=xe.size(i)/_,v=[Math.ceil(A/64),1,1];St("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${v}`);let y=["rank","rank"],S=[r.strides[0],r.strides[1]],x=[r.kernelShape[n?1:2],r.kernelShape[n?2:3]],g=[r.dilations[0],r.dilations[1]],M=[x[0]+(r.dilations[0]<=1?0:(r.kernelShape[n?1:2]-1)*(r.dilations[0]-1)),x[1]+(r.dilations[1]<=1?0:(r.kernelShape[n?2:3]-1)*(r.dilations[1]-1))],E=[M[0]-1-Math.floor((r.pads[0]+r.pads[2])/2),M[1]-1-Math.floor((r.pads[1]+r.pads[3])/2)],k=[{type:12,data:A},{type:12,data:S},{type:12,data:x},{type:12,data:g},{type:12,data:M},{type:6,data:E},{type:12,data:h},{type:12,data:l},{type:12,data:d},...nt(e[0].dims,e[1].dims)];s&&(k.push(...nt(e[2].dims)),y.push("rank")),k.push(...nt(i));let B=R=>{let J=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:S.length},{name:"filter_dims",type:"u32",length:x.length},{name:"dilations",type:"u32",length:x.length},{name:"effective_filter_dims",type:"u32",length:M.length},{name:"pads",type:"i32",length:E.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],q=lr(e[0].dataType),V=n?1:2,Y=n?2:3,H=n?3:1,Q=$e("W",e[1].dataType,e[1].dims.length,P),ie=$e("Dy",e[0].dataType,e[0].dims.length,p),le=[ie,Q];s&&le.push($e("bias",e[2].dataType,[i[H]].length,_));let ae=tt("result",e[0].dataType,i.length,_),ge=()=>{let G="";if(u)p===4?G+=` + 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E=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=E),M.push(E)}else M.push(r[1]);r.length===3&&M.push(r[2]),!e.adapterInfo.isArchitecture("ampere")&&i&&r[1].dims[0]===t.group&&r[1].dims[1]===1&&t.dilations[0]===1&&t.dilations[1]===1?e.compute(__(M,t,n,s),{inputs:M}):e.compute(m_(M,t,n,s),{inputs:M});return}let o=r.length===3,a=r[0].dims[i?1:2],l=r[0].dims[i?2:3],d=r[0].dims[i?3:1],p=r[1].dims[2],u=r[1].dims[3],h=n[i?1:2],w=n[i?2:3],f=n[i?3:1],P=i&&p===a&&u===l&&t.pads[0]===0&&t.pads[1]===0;if(P||p===1&&u===1&&t.dilations[0]===1&&t.dilations[1]===1&&t.strides[0]===1&&t.strides[1]===1&&t.pads[0]===0&&t.pads[1]===0){let M=n[0],E,k,B,N=[];if(i){let V=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];if(t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=V),P){let Y=a*l*d;E=r[0].reshape([1,M,Y]),k=V.reshape([1,Y,f]),B=[1,M,f]}else 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i=[0,r.pads[0],0,r.pads[1]],n=[1].concat(r.strides),o=[1].concat(r.dilations),a=[1].concat(r.kernelShape),l=$a({...r,pads:i,strides:n,dilations:o,kernelShape:a},s);uc(e,s,l,d=>t?[d[0],d[2],d[3]]:[d[0],d[1],d[3]])},y_=(e,r,t)=>{let s=t.format==="NHWC"?"channelsLast":"channelsFirst",i=$a(t,r),n=t.autoPad==="NOTSET"?t.pads:t.autoPad,o=p_(r[0].dims,r[1].dims,t.strides,t.dilations,n,!1,s);e.compute(h_(r,i,o.outShape,[o.filterDepth,o.filterHeight,o.filterWidth],[o.padInfo.front,o.padInfo.top,o.padInfo.left],s))},pc=(e,r)=>{if(g_(e.inputs,r),e.inputs[0].dims.length===3)w_(e,r);else if(e.inputs[0].dims.length===5)y_(e,e.inputs,r);else{let t=$a(r,e.inputs);uc(e,e.inputs,t)}}}),M_,fv=Ue(()=>{pt(),ks(),Mt(),xt(),M_=(e,r,t)=>{let s=e.length>2,i=r.outputShape,n=r.format==="NHWC",o=r.group,a=e[1].dims,l=a[2]/o,d=a[3],p=n?Xt(l):1,u=n&&d===1&&l>=4,h=u?Math.floor(l/4)*4:Math.floor(l/p)*p,w=l-h,f=n?Xt(d):1,P=n?d===1?p:f:1,A=xe.size(i)/f,b=[Math.ceil(A/64),1,1];St("verbose",()=>`[conv2d_backprop_webgpu] 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J=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:$.length},{name:"filter_dims",type:"u32",length:T.length},{name:"dilations",type:"u32",length:T.length},{name:"effective_filter_dims",type:"u32",length:M.length},{name:"pads",type:"i32",length:E.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],q=lr(e[0].dataType),V=n?1:2,Y=n?2:3,H=n?3:1,Q=$e("W",e[1].dataType,e[1].dims.length,P),ie=$e("Dy",e[0].dataType,e[0].dims.length,p),le=[ie,Q];s&&le.push($e("bias",e[2].dataType,[i[H]].length,f));let ae=tt("result",e[0].dataType,i.length,f),we=()=>{let G="";if(u)p===4?G+=` let xValue = ${ie.getByOffset("x_offset")}; let wValue = ${Q.getByOffset("w_offset")}; dotProd = dotProd + dot(xValue, wValue); @@ -1227,12 +1227,12 @@ fn main(@builtin(local_invocation_id) localId : vec3, let wValue = ${Q.getByOffset(`w_offset / ${P}`)}; dotProd = dotProd + xValue * wValue;`;else for(let 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n=e[0].dims.length-2;if(r.dilations.reduce((o,a)=>o+a,0)>0&&r.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(r.strides.reduce((o,a)=>o+a,0)>0&&r.strides.length!==n)throw new Error(`strides should be ${n}D`);if(r.pads.reduce((o,a)=>o+a,0)>0&&r.pads.length!==n*2)throw new Error(`pads should be ${n*2}D`);if(r.outputPadding.length!==n&&r.outputPadding.length!==0)throw new Error(`output_padding should be ${n}D`);if(r.kernelShape.reduce((o,a)=>o+a,0)>0&&r.kernelShape.length!==0&&r.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(r.outputShape.length!==0&&r.outputShape.length!==e[0].dims.length-2)throw new Error("invalid output shape")},hc=(e,r,t,s)=>{let i=e.kernelCustomData.wT??e.compute(Nr(r[1],[2,3,0,1]),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=i);let n=[r[0],i];r.length===3&&n.push(r[2]),e.compute(Mf(n,t,s),{inputs:n})},Pf=(e,r)=>{let t=r.format==="NHWC",s=[e.inputs[0].reshape(t?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&s.push(e.inputs[2]);let i=r.kernelShape;(i.length===0||i[0]===0)&&(i=[e.inputs[1].dims[2]]);let n=r.dilations;(n.length===0||n[0]===0)&&(n=[1]);let o=r.strides;(o.length===0||o[0]===0)&&(o=[1]);let a=r.pads;a.length===0&&(a=[0,0]),a=[0,a[0],0,a[1]],o=[1].concat(o),n=[1].concat(n),i=[1].concat(i);let l=r.outputPadding;l=[0].concat(l);let d=pc({...r,pads:a,strides:o,dilations:n,kernelShape:i,outputPadding:l},s);hc(e,s,d,p=>t?[p[0],p[2],p[3]]:[p[0],p[1],p[3]])},Cf=(e,r)=>{if(Ef(e.inputs,r),e.inputs[0].dims.length===3)Pf(e,r);else{let t=pc(r,e.inputs);hc(e,e.inputs,t)}}}),Sf,$f,kf,av=je(()=>{pt(),yt(),Yt(),vt(),Sf=(e,r,t,s)=>{let i=xe.size(r),n=r.length,o=$e("input",e,n),a=tt("output",e,n),l=t.dataType===6?t.getInt32Array()[0]:Number(t.getBigInt64Array()[0]),d=xe.normalizeAxis(l,n),p=u=>{let h=` i32(${o.indicesGet("inputIndices","uniforms.axis")}) `,w=rt("uniforms.input_shape","uniforms.axis",n),_=s.reverse?h+(s.exclusive?" + 1":""):"0",P=s.reverse?w:h+(s.exclusive?"":" + 1");return` + ${N.registerUniforms(J).declareVariables(...le,ae)} + ${N.mainStart()} + ${N.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}; + ${O}}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${r.cacheKey};${p}${P}${f}${u}${w}`,inputDependencies:y},getRunData:()=>({dispatchGroup:{x:b[0],y:b[1],z:b[2]},outputs:[{dims:t?t(i):i,dataType:e[0].dataType}],programUniforms:k}),getShaderSource:B}}}),b_,v_,x_,hc,T_,E_,mc,P_,C_,gv=Ue(()=>{fv(),yn(),Gs(),b_=(e,r,t,s,i,n)=>(e-1)*r+t+(s-1)*i+1-n,v_=(e,r,t,s,i)=>{let n=Math.floor(e/2);r==="SAME_UPPER"?(t[s]=n,t[i]=e-n):r==="SAME_LOWER"&&(t[s]=e-n,t[i]=n)},x_=(e,r,t,s,i,n,o,a,l,d)=>{let p=e.length-2,u=d.length===0;l.length{let t=e.kernelShape.slice();if(e.kernelShape.length===0||e.kernelShape.reduce((u,h)=>u*h,1)===0){t.length=0;for(let u=2;uu+h,0)===0){let u=r[0].dims.length-2;l=new Array(u).fill(1)}let d=e.strides.slice();if(d.reduce((u,h)=>u+h,0)===0){let u=r[0].dims.length-2;d=new Array(u).fill(1)}x_(a,t,l,e.autoPad,e.group,i,d,s,o,n);let p=Object.assign({},e);return Object.assign(p,{kernelShape:t,pads:i,outputPadding:o,outputShape:n,dilations:l,strides:d}),p},T_=e=>{let r=ec(e),t=e.format,s=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof e.autoPad>"u"?0:e.autoPad],i=e.dilations,n=e.group,o=e.kernelShape,a=e.pads,l=e.strides,d=e.wIsConst(),p=e.outputPadding,u=e.outputShape;return{autoPad:s,format:t,dilations:i,group:n,kernelShape:o,outputPadding:p,outputShape:u,pads:a,strides:l,wIsConst:d,...r,cacheKey:`${e.format};${r.activation};`}},E_=(e,r)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 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Error("Expand requires 2 input.");let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=t.length{let t=e.length-r.length,s=[];for(let i=0;ie.length>r.length?_c(e,r):_c(r,e),Gf=e=>{let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=Wf(r,t),i=e[0].dataType,n=i===9||xe.size(r)===1,o=i===9||r.length>0&&r[r.length-1]%4===0?4:1,a=n||s.length>0&&s[s.length-1]%4===0?4:1,l=Math.ceil(xe.size(s)/a),d=u=>{let h=$e("input",i,r.length,o),w=tt("output",i,s.length,a),_;if(i===9){let P=(A,v,y="")=>` - let outputIndices${v} = ${w.offsetToIndices(`outputOffset + ${v}u`)}; - let offset${v} = ${h.broadcastedIndicesToOffset(`outputIndices${v}`,w)}; - let index${v} = offset${v} / 4u; - let component${v} = offset${v} % 4u; - ${A}[${v}] = ${y}(${h.getByOffset(`index${v}`)}[component${v}]); - `;_=` + }`};return{name:"Einsum",shaderCache:{hint:t.equation,inputDependencies:e.map(()=>"rank")},getRunData:()=>{let d=a.filter(u=>t.symbolToInfo.has(u)).map(u=>{var h;return{type:12,data:((h=t.symbolToInfo.get(u))==null?void 0:h.dimValue)||0}});d.push({type:12,data:n});let p=e.map((u,h)=>[...nt(u)]).reduce((u,h)=>u.concat(h),d);return p.push(...nt(s)),{outputs:[{dims:s,dataType:r}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:p}},getShaderSource:l}},j_=(e,r)=>{let t=new R_(e.inputs,r.equation),s=t.outputDims,i=e.inputs.map((n,o)=>n.dims);e.compute(N_(i,e.inputs[0].dataType,t,s))},U_=e=>{let r=e.equation.replace(/\s+/g,"");return Dt({equation:r})}}),V_,gc,W_,G_,K_,bv=Ue(()=>{pt(),Mt(),xt(),V_=e=>{if(!e||e.length!==2)throw new Error("Expand requires 2 input.");let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=t.length{let t=e.length-r.length,s=[];for(let i=0;ie.length>r.length?gc(e,r):gc(r,e),G_=e=>{let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=W_(r,t),i=e[0].dataType,n=i===9||xe.size(r)===1,o=i===9||r.length>0&&r[r.length-1]%4===0?4:1,a=n||s.length>0&&s[s.length-1]%4===0?4:1,l=Math.ceil(xe.size(s)/a),d=u=>{let h=$e("input",i,r.length,o),w=tt("output",i,s.length,a),f;if(i===9){let P=(A,b,y="")=>` + let outputIndices${b} = ${w.offsetToIndices(`outputOffset + ${b}u`)}; + let offset${b} = ${h.broadcastedIndicesToOffset(`outputIndices${b}`,w)}; + let index${b} = offset${b} / 4u; + let component${b} = offset${b} % 4u; + ${A}[${b}] = ${y}(${h.getByOffset(`index${b}`)}[component${b}]); + `;f=` let outputOffset = global_idx * ${a}; var data = vec4(0); ${P("data",0,"u32")} @@ -1349,7 +1349,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, ${P("data",2,"u32")} ${P("data",3,"u32")} ${w.setByOffset("global_idx","data")} - }`}else _=` + }`}else f=` let outputIndices = ${w.offsetToIndices(`global_idx * ${a}`)}; let inputOffset = ${h.broadcastedIndicesToOffset("outputIndices",w)}; let data = ${w.type.value}(${h.getByOffset(`inputOffset / ${o}`)}); @@ -1358,13 +1358,13 @@ fn main(@builtin(local_invocation_id) localId : vec3, ${u.registerUniform("vec_size","u32").declareVariables(h,w)} ${u.mainStart()} ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} - ${_}`},p=[{type:12,data:l},...nt(r,s)];return{name:"Expand",shaderCache:{hint:`${s.length};${o}${a}`,inputDependencies:["rank"]},getShaderSource:d,getRunData:()=>({outputs:[{dims:s,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:p})}},Kf=e=>{Vf(e.inputs),e.compute(Gf(e.inputs),{inputs:[0]})}}),Hf,qf,uv=je(()=>{pt(),yt(),vt(),Yd(),Hf=e=>{let r=e[0].dataType,t=xe.size(e[0].dims),s=xe.size(e[1].dims),i=s%4===0,n=o=>{let a=$e("x",r,[1],4),l=$e("bias",r,[1],4),d=tt("y",r,[1],4),p=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],u=w=>` + ${f}`},p=[{type:12,data:l},...nt(r,s)];return{name:"Expand",shaderCache:{hint:`${s.length};${o}${a}`,inputDependencies:["rank"]},getShaderSource:d,getRunData:()=>({outputs:[{dims:s,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:p})}},K_=e=>{V_(e.inputs),e.compute(G_(e.inputs),{inputs:[0]})}}),H_,q_,vv=Ue(()=>{pt(),Mt(),xt(),Zd(),H_=e=>{let r=e[0].dataType,t=xe.size(e[0].dims),s=xe.size(e[1].dims),i=s%4===0,n=o=>{let a=$e("x",r,[1],4),l=$e("bias",r,[1],4),d=tt("y",r,[1],4),p=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],u=w=>` let bias${w}_offset: u32 = (global_idx * 4 + ${w}) % uniforms.bias_size; let bias${w} = ${l.getByOffset(`bias${w}_offset / 4`)}[bias${w}_offset % 4];`,h=i?` let bias = ${l.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${u(0)}${u(1)}${u(2)}${u(3)} let bias = ${a.type.value}(bias0, bias1, bias2, bias3);`;return`${o.registerUniforms(p).declareVariables(a,l,d)} - ${Xd(Tr(r))} + ${Jd(Tr(r))} ${o.mainStart(jn)} ${o.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")} @@ -1372,21 +1372,21 @@ fn main(@builtin(local_invocation_id) localId : vec3, let x = ${a.getByOffset("global_idx")}; ${h} let x_in = x + bias; - ${d.setByOffset("global_idx",Jd("x_in"))} - }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:n,getRunData:o=>({outputs:[{dims:o[0].dims,dataType:o[0].dataType}],programUniforms:[{type:12,data:Math.ceil(t/4)},{type:12,data:s}],dispatchGroup:{x:Math.ceil(t/jn/4)}})}},qf=e=>{e.inputs.length<2||xe.size(e.inputs[1].dims)===0?Cm(e):e.compute(Hf(e.inputs))}}),Qf,Xf,Jf,Yf,pv=je(()=>{pt(),yt(),Yt(),vt(),Qf=e=>{if(!e||e.length!==2)throw new Error("Gather requires 2 inputs.")},Xf=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.axis,i),o=t.slice(0);o.splice(n,1,...s);let a=t[n],l=e[0].dataType===9?4:1,d=Math.ceil(xe.size(o)/l),p=[{type:12,data:d},{type:6,data:a},{type:12,data:n},...nt(e[0].dims,e[1].dims,o)],u=h=>{let w=$e("data",e[0].dataType,e[0].dims.length,l),_=$e("inputIndices",e[1].dataType,e[1].dims.length),P=tt("output",e[0].dataType,o.length,l),A=y=>{let S=s.length,x=`var indicesIndices${y} = ${_.type.indices}(0);`;for(let g=0;g1?`indicesIndices${y}[${g}]`:`indicesIndices${y}`} = ${o.length>1?`outputIndices${y}[uniforms.axis + ${g}]`:`outputIndices${y}`};`;x+=` - var idx${y} = ${_.getByIndices(`indicesIndices${y}`)}; + ${d.setByOffset("global_idx",Yd("x_in"))} + }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:n,getRunData:o=>({outputs:[{dims:o[0].dims,dataType:o[0].dataType}],programUniforms:[{type:12,data:Math.ceil(t/4)},{type:12,data:s}],dispatchGroup:{x:Math.ceil(t/jn/4)}})}},q_=e=>{e.inputs.length<2||xe.size(e.inputs[1].dims)===0?Sm(e):e.compute(H_(e.inputs))}}),Q_,X_,J_,Y_,xv=Ue(()=>{pt(),Mt(),Yt(),xt(),Q_=e=>{if(!e||e.length!==2)throw new Error("Gather requires 2 inputs.")},X_=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.axis,i),o=t.slice(0);o.splice(n,1,...s);let a=t[n],l=e[0].dataType===9?4:1,d=Math.ceil(xe.size(o)/l),p=[{type:12,data:d},{type:6,data:a},{type:12,data:n},...nt(e[0].dims,e[1].dims,o)],u=h=>{let w=$e("data",e[0].dataType,e[0].dims.length,l),f=$e("inputIndices",e[1].dataType,e[1].dims.length),P=tt("output",e[0].dataType,o.length,l),A=y=>{let $=s.length,T=`var indicesIndices${y} = ${f.type.indices}(0);`;for(let g=0;g<$;g++)T+=`${$>1?`indicesIndices${y}[${g}]`:`indicesIndices${y}`} = ${o.length>1?`outputIndices${y}[uniforms.axis + ${g}]`:`outputIndices${y}`};`;T+=` + var idx${y} = ${f.getByIndices(`indicesIndices${y}`)}; if (idx${y} < 0) { idx${y} = idx${y} + uniforms.axisDimLimit; } var dataIndices${y} : ${w.type.indices}; - `;for(let g=0,M=0;g1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = u32(idx${y});`,M+=S):(x+=`${i>1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = ${o.length>1?`outputIndices${y}[${M}]`:`outputIndices${y}`};`,M++);return x},v;if(e[0].dataType===9){let y=(S,x,g="")=>` - let outputIndices${x} = ${P.offsetToIndices(`outputOffset + ${x}u`)}; - ${A(x)}; - let offset${x} = ${w.indicesToOffset(`dataIndices${x}`)}; - let index${x} = offset${x} / 4u; - let component${x} = offset${x} % 4u; - ${S}[${x}] = ${g}(${w.getByOffset(`index${x}`)}[component${x}]); - `;v=` + `;for(let g=0,M=0;g1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = u32(idx${y});`,M+=$):(T+=`${i>1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = ${o.length>1?`outputIndices${y}[${M}]`:`outputIndices${y}`};`,M++);return T},b;if(e[0].dataType===9){let y=($,T,g="")=>` + let outputIndices${T} = ${P.offsetToIndices(`outputOffset + ${T}u`)}; + ${A(T)}; + let offset${T} = ${w.indicesToOffset(`dataIndices${T}`)}; + let index${T} = offset${T} / 4u; + let component${T} = offset${T} % 4u; + ${$}[${T}] = ${g}(${w.getByOffset(`index${T}`)}[component${T}]); + `;b=` let outputOffset = global_idx * ${l}; var value = vec4(0); ${y("value",0,"u32")} @@ -1394,17 +1394,17 @@ fn main(@builtin(local_invocation_id) localId : vec3, ${y("value",2,"u32")} ${y("value",3,"u32")} ${P.setByOffset("global_idx","value")} - `}else v=` + `}else b=` let outputIndices = ${P.offsetToIndices("global_idx")}; ${A("")}; let value = ${w.getByIndices("dataIndices")}; ${P.setByOffset("global_idx","value")}; `;return` - ${h.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(w,_,P)} + ${h.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(w,f,P)} ${h.mainStart()} ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} - ${v} - }`};return{name:"Gather",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:u}},Jf=e=>Dt({axis:e.axis}),Yf=(e,r)=>{let t=e.inputs;Qf(t),e.compute(Xf(e.inputs,r))}}),Zf,e_,t_,hv=je(()=>{pt(),yt(),vt(),Zf=(e,r,t,s,i,n,o,a,l)=>{let d=[{type:12,data:n},{type:12,data:s},{type:12,data:i},{type:12,data:t},{type:12,data:o},{type:12,data:a},{type:12,data:l}],p=[n];d.push(...nt(r.dims,p));let u=h=>{let w=$e("indices_data",r.dataType,r.dims.length),_=tt("input_slice_offsets_data",12,1,1),P=[w,_],A=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:i.length},{name:"sizes_from_slice_dims_data",type:"u32",length:t.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return` + ${b} + }`};return{name:"Gather",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:u}},J_=e=>Dt({axis:e.axis}),Y_=(e,r)=>{let t=e.inputs;Q_(t),e.compute(X_(e.inputs,r))}}),Z_,ef,tf,Tv=Ue(()=>{pt(),Mt(),xt(),Z_=(e,r,t,s,i,n,o,a,l)=>{let d=[{type:12,data:n},{type:12,data:s},{type:12,data:i},{type:12,data:t},{type:12,data:o},{type:12,data:a},{type:12,data:l}],p=[n];d.push(...nt(r.dims,p));let u=h=>{let w=$e("indices_data",r.dataType,r.dims.length),f=tt("input_slice_offsets_data",12,1,1),P=[w,f],A=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:i.length},{name:"sizes_from_slice_dims_data",type:"u32",length:t.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return` ${h.registerUniforms(A).declareVariables(...P)} ${h.mainStart()} ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} @@ -1423,14 +1423,14 @@ fn main(@builtin(local_invocation_id) localId : vec3, } input_slice_offsets_data[global_idx] = base_offset + u32(relative_slice_offset); - }`};return e.compute({name:"computeSliceOffsets",shaderCache:{hint:`${i.length}_${t.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:p,dataType:e.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:d}),getShaderSource:u},{inputs:[r],outputs:[-1]})[0]},e_=(e,r)=>{let t=e.inputs,s=t[0].dims,i=t[0].dataType,n=t[1].dims,o=n[n.length-1],a=xe.sizeToDimension(n,n.length-1),l=xe.sizeFromDimension(s,r.batchDims+o),d=xe.sizeToDimension(s,r.batchDims),p=xe.sizeFromDimension(s,r.batchDims),u=a/d,h=new Array(o),w=l;for(let x=0;xs.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let A=n.slice(0,-1).concat(s.slice(P)),v=xe.size(A),y=[{type:12,data:v},{type:12,data:l},...nt(t[0].dims,_.dims,A)],S=x=>{let g=$e("data",t[0].dataType,t[0].dims.length),M=$e("slice_offsets",12,_.dims.length),E=tt("output",t[0].dataType,A.length);return` - ${x.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(g,M,E)} - ${x.mainStart()} - ${x.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + }`};return e.compute({name:"computeSliceOffsets",shaderCache:{hint:`${i.length}_${t.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:p,dataType:e.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:d}),getShaderSource:u},{inputs:[r],outputs:[-1]})[0]},ef=(e,r)=>{let t=e.inputs,s=t[0].dims,i=t[0].dataType,n=t[1].dims,o=n[n.length-1],a=xe.sizeToDimension(n,n.length-1),l=xe.sizeFromDimension(s,r.batchDims+o),d=xe.sizeToDimension(s,r.batchDims),p=xe.sizeFromDimension(s,r.batchDims),u=a/d,h=new Array(o),w=l;for(let T=0;Ts.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let A=n.slice(0,-1).concat(s.slice(P)),b=xe.size(A),y=[{type:12,data:b},{type:12,data:l},...nt(t[0].dims,f.dims,A)],$=T=>{let g=$e("data",t[0].dataType,t[0].dims.length),M=$e("slice_offsets",12,f.dims.length),E=tt("output",t[0].dataType,A.length);return` + ${T.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(g,M,E)} + ${T.mainStart()} + ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let slice_offset = slice_offsets[global_idx / uniforms.slice_size]; output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size]; - }`};e.compute({name:"GatherND",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:A,dataType:i}],dispatchGroup:{x:Math.ceil(v/64)},programUniforms:y}),getShaderSource:S},{inputs:[t[0],_]})},t_=e=>({batchDims:e.batch_dims,cacheKey:""})}),r_,s_,n_,i_,mv=je(()=>{pt(),yt(),Yt(),vt(),r_=(e,r)=>{if(e.length<3||e.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let t=xe.normalizeAxis(r.quantizeAxis,e[0].dims.length),s=r.blockSize,i=e[0],n=e[2],o=e.length===4?e[3]:void 0;if(n.dims.length!==i.dims.length||!i.dims.map((a,l)=>l===t?Math.ceil(a/s)===n.dims[l]:a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(o){if(o.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(o.dims.length!==n.dims.length||!o.dims.map((a,l)=>a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},s_=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.gatherAxis,i),o=xe.normalizeAxis(r.quantizeAxis,i),a=t.slice(0);a.splice(n,1,...s);let l=xe.size(a),d=e[2].dataType,p=e[0].dataType===22,u=[{type:12,data:l},{type:12,data:o},{type:12,data:n},{type:12,data:r.blockSize},...nt(...e.map((w,_)=>w.dims),a)],h=w=>{let _=$e("data",e[0].dataType,e[0].dims.length),P=$e("inputIndices",e[1].dataType,e[1].dims.length),A=$e("scales",e[2].dataType,e[2].dims.length),v=e.length>3?$e("zeroPoint",e[3].dataType,e[3].dims.length):void 0,y=tt("output",d,a.length),S=[_,P,A];v&&S.push(v);let x=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return` - ${w.registerUniforms(x).declareVariables(...S,y)} + }`};e.compute({name:"GatherND",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:A,dataType:i}],dispatchGroup:{x:Math.ceil(b/64)},programUniforms:y}),getShaderSource:$},{inputs:[t[0],f]})},tf=e=>({batchDims:e.batch_dims,cacheKey:""})}),rf,sf,nf,of,Ev=Ue(()=>{pt(),Mt(),Yt(),xt(),rf=(e,r)=>{if(e.length<3||e.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let t=xe.normalizeAxis(r.quantizeAxis,e[0].dims.length),s=r.blockSize,i=e[0],n=e[2],o=e.length===4?e[3]:void 0;if(n.dims.length!==i.dims.length||!i.dims.map((a,l)=>l===t?Math.ceil(a/s)===n.dims[l]:a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(o){if(o.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(o.dims.length!==n.dims.length||!o.dims.map((a,l)=>a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},sf=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.gatherAxis,i),o=xe.normalizeAxis(r.quantizeAxis,i),a=t.slice(0);a.splice(n,1,...s);let l=xe.size(a),d=e[2].dataType,p=e[0].dataType===22,u=[{type:12,data:l},{type:12,data:o},{type:12,data:n},{type:12,data:r.blockSize},...nt(...e.map((w,f)=>w.dims),a)],h=w=>{let f=$e("data",e[0].dataType,e[0].dims.length),P=$e("inputIndices",e[1].dataType,e[1].dims.length),A=$e("scales",e[2].dataType,e[2].dims.length),b=e.length>3?$e("zeroPoint",e[3].dataType,e[3].dims.length):void 0,y=tt("output",d,a.length),$=[f,P,A];b&&$.push(b);let T=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return` + ${w.registerUniforms(T).declareVariables(...$,y)} ${w.mainStart()} let output_indices = ${y.offsetToIndices("global_idx")}; var indices_indices = ${P.type.indices}(0); @@ -1439,24 +1439,24 @@ fn main(@builtin(local_invocation_id) localId : vec3, let index = ${y.indicesGet("output_indices","uniforms.gather_axis + i")}; ${P.indicesSet("indices_indices","i","index")}; }`:`indices_indices = ${y.indicesGet("output_indices","uniforms.gather_axis")};`}; - var data_indices = ${_.type.indices}(0); + var data_indices = ${f.type.indices}(0); for (var i: u32 = 0; i < uniforms.gather_axis; i++) { let index = ${y.indicesGet("output_indices","i")}; - ${_.indicesSet("data_indices","i","index")}; + ${f.indicesSet("data_indices","i","index")}; } var index_from_indices = ${P.getByIndices("indices_indices")}; if (index_from_indices < 0) { index_from_indices += ${t[n]}; } - ${_.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")}; + ${f.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")}; for (var i = uniforms.gather_axis + 1; i < ${a.length}; i++) { let index = ${y.indicesGet("output_indices",`i + ${s.length} - 1`)}; - ${_.indicesSet("data_indices","i","index")}; + ${f.indicesSet("data_indices","i","index")}; } - let data_offset = ${_.indicesToOffset("data_indices")}; + let data_offset = ${f.indicesToOffset("data_indices")}; let data_index = data_offset % 8; // Convert 4-bit packed data to 8-bit packed data. - let packed_4bit_quantized_data = ${_.getByOffset("data_offset / 8")}; + let packed_4bit_quantized_data = ${f.getByOffset("data_offset / 8")}; let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f; let quantized_data_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data)); let quantized_data = quantized_data_vec[data_index / 2]; @@ -1464,18 +1464,18 @@ fn main(@builtin(local_invocation_id) localId : vec3, let quantize_axis_index = ${A.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size; ${A.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")}; var scale = ${A.getByIndices("scale_indices")}; - ${v?` + ${b?` let zero_point_indices = scale_indices; - let zero_point_offset = ${v.indicesToOffset("zero_point_indices")}; + let zero_point_offset = ${b.indicesToOffset("zero_point_indices")}; let zero_point_index = zero_point_offset % 8; - let packed_4bit_zero_points = ${v.getByOffset("zero_point_offset / 8")}; + let packed_4bit_zero_points = ${b.getByOffset("zero_point_offset / 8")}; let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f; let zero_point_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points)); let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"}; let dequantized_data = ${Tr(d)}(quantized_data - zero_point) * scale; ${y.setByOffset("global_idx","dequantized_data")}; - }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${r.cacheKey};${e.filter((w,_)=>_!==1).map(w=>w.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:e.length},(w,_)=>"rank")},getRunData:()=>({outputs:[{dims:a,dataType:d}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:h}},n_=(e,r)=>{let t=e.inputs;r_(t,r),e.compute(s_(e.inputs,r))},i_=e=>Dt({blockSize:e.blockSize,gatherAxis:e.gatherAxis,quantizeAxis:e.quantizeAxis})}),o_,a_,l_,d_,fv=je(()=>{pt(),yt(),Yt(),vt(),o_=e=>{if(!e||e.length!==2)throw new Error("GatherElements requires 2 inputs.");if(e[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and - indices input tensors be of same rank.`)},a_=(e,r)=>{let t=e[0].dims,s=e[0].dataType,i=t.length,n=e[1].dims,o=e[1].dataType,a=xe.normalizeAxis(r.axis,i),l=t[a],d=n.slice(0),p=xe.size(d),u=$e("input",s,i),h=$e("indicesInput",o,n.length),w=tt("output",s,d.length),_=[{type:12,data:p},{type:6,data:l},{type:12,data:a}];return _.push(...nt(t,n,d)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:d,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:_}),getShaderSource:P=>` + }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${r.cacheKey};${e.filter((w,f)=>f!==1).map(w=>w.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:e.length},(w,f)=>"rank")},getRunData:()=>({outputs:[{dims:a,dataType:d}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:h}},nf=(e,r)=>{let t=e.inputs;rf(t,r),e.compute(sf(e.inputs,r))},of=e=>Dt({blockSize:e.blockSize,gatherAxis:e.gatherAxis,quantizeAxis:e.quantizeAxis})}),af,lf,df,cf,Pv=Ue(()=>{pt(),Mt(),Yt(),xt(),af=e=>{if(!e||e.length!==2)throw new Error("GatherElements requires 2 inputs.");if(e[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and + indices input tensors be of same rank.`)},lf=(e,r)=>{let t=e[0].dims,s=e[0].dataType,i=t.length,n=e[1].dims,o=e[1].dataType,a=xe.normalizeAxis(r.axis,i),l=t[a],d=n.slice(0),p=xe.size(d),u=$e("input",s,i),h=$e("indicesInput",o,n.length),w=tt("output",s,d.length),f=[{type:12,data:p},{type:6,data:l},{type:12,data:a}];return f.push(...nt(t,n,d)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:d,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:f}),getShaderSource:P=>` ${P.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(u,h,w)} ${P.mainStart()} ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} @@ -1491,11 +1491,11 @@ fn main(@builtin(local_invocation_id) localId : vec3, let value = ${u.getByIndices("inputIndices")}; ${w.setByOffset("global_idx","value")}; - }`}},l_=e=>Dt({axis:e.axis}),d_=(e,r)=>{let t=e.inputs;o_(t),e.compute(a_(e.inputs,r))}}),c_,u_,p_,h_,_v=je(()=>{pt(),yt(),vt(),c_=e=>{if(!e)throw new Error("Input is missing");if(e.length<2||e.length>3)throw new Error("Invaid input number.");if(e.length===3&&e[2].dims.length>2)throw new Error("Invalid input shape of C");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("Input types are mismatched")},u_=(e,r)=>{let t=e[0].dims.slice(),s=e[1].dims.slice(),[i,n,o]=Fp.getShapeOfGemmResult(t,r.transA,s,r.transB,e.length===3?e[2].dims:void 0),a=[i,n];if(!a)throw new Error("Can't use gemm on the given tensors");let l=16,d=Math.ceil(n/l),p=Math.ceil(i/l),u=!0,h=xe.size(a),w=[{type:12,data:u?d:h},{type:12,data:i},{type:12,data:n},{type:12,data:o},{type:1,data:r.alpha},{type:1,data:r.beta}],_=["type","type"];e.length===3&&(w.push(...nt(e[2].dims)),_.push("rank")),w.push(...nt(a));let P=v=>{let y="";r.transA&&r.transB?y="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":r.transA&&!r.transB?y="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!r.transA&&r.transB?y="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!r.transA&&!r.transB&&(y="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let S=r.alpha===1?"":"value *= uniforms.alpha;",x=$e("a",e[0].dataType,e[0].dims),g=$e("b",e[1].dataType,e[1].dims),M=x.type.value,E=null,k=[x,g];e.length===3&&(E=$e("c",e[2].dataType,e[2].dims.length),k.push(E));let B=tt("output",e[0].dataType,a.length);k.push(B);let R=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return` - ${v.registerUniforms(R).declareVariables(...k)} + }`}},df=e=>Dt({axis:e.axis}),cf=(e,r)=>{let t=e.inputs;af(t),e.compute(lf(e.inputs,r))}}),uf,pf,hf,mf,Cv=Ue(()=>{pt(),Mt(),xt(),uf=e=>{if(!e)throw new Error("Input is missing");if(e.length<2||e.length>3)throw new Error("Invaid input number.");if(e.length===3&&e[2].dims.length>2)throw new Error("Invalid input shape of C");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("Input types are mismatched")},pf=(e,r)=>{let t=e[0].dims.slice(),s=e[1].dims.slice(),[i,n,o]=Op.getShapeOfGemmResult(t,r.transA,s,r.transB,e.length===3?e[2].dims:void 0),a=[i,n];if(!a)throw new Error("Can't use gemm on the given tensors");let l=16,d=Math.ceil(n/l),p=Math.ceil(i/l),u=!0,h=xe.size(a),w=[{type:12,data:u?d:h},{type:12,data:i},{type:12,data:n},{type:12,data:o},{type:1,data:r.alpha},{type:1,data:r.beta}],f=["type","type"];e.length===3&&(w.push(...nt(e[2].dims)),f.push("rank")),w.push(...nt(a));let P=b=>{let y="";r.transA&&r.transB?y="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":r.transA&&!r.transB?y="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!r.transA&&r.transB?y="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!r.transA&&!r.transB&&(y="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let $=r.alpha===1?"":"value *= uniforms.alpha;",T=$e("a",e[0].dataType,e[0].dims),g=$e("b",e[1].dataType,e[1].dims),M=T.type.value,E=null,k=[T,g];e.length===3&&(E=$e("c",e[2].dataType,e[2].dims.length),k.push(E));let B=tt("output",e[0].dataType,a.length);k.push(B);let N=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return` + ${b.registerUniforms(N).declareVariables(...k)} - ${v.mainStart()} - ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${b.mainStart()} + ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let m = global_idx / uniforms.N; let n = global_idx % uniforms.N; @@ -1505,10 +1505,10 @@ fn main(@builtin(local_invocation_id) localId : vec3, ${y} } - ${S} + ${$} ${E!=null?`let cOffset = ${E.broadcastedIndicesToOffset("vec2(m, n)",B)}; value += ${M}(uniforms.beta) * ${E.getByOffset("cOffset")};`:""} output[global_idx] = value; - }`},A=v=>{let y=$e("a",e[0].dataType,e[0].dims),S=$e("b",e[1].dataType,e[1].dims),x=null,g=[y,S];e.length===3&&(x=$e("c",e[2].dataType,e[2].dims.length),g.push(x));let M=tt("output",e[0].dataType,a.length);g.push(M);let E=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],k="",B="";r.transA&&r.transB?(B=` + }`},A=b=>{let y=$e("a",e[0].dataType,e[0].dims),$=$e("b",e[1].dataType,e[1].dims),T=null,g=[y,$];e.length===3&&(T=$e("c",e[2].dataType,e[2].dims.length),g.push(T));let M=tt("output",e[0].dataType,a.length);g.push(M);let E=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],k="",B="";r.transA&&r.transB?(B=` var col = tile_row_start + local_id.x; var row = k_start + local_id.y; if (col < uniforms.M && row < uniforms.K) { @@ -1522,7 +1522,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (col < uniforms.K && row < uniforms.N) { tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; } else { - tile_b[local_id.y][local_id.x] = ${S.type.value}(0); + tile_b[local_id.y][local_id.x] = ${$.type.value}(0); } `,k="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):r.transA&&!r.transB?(B=` var col = tile_row_start + local_id.x; @@ -1538,7 +1538,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (col < uniforms.N && row < uniforms.K) { tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; } else { - tile_b[local_id.y][local_id.x] = ${S.type.value}(0); + tile_b[local_id.y][local_id.x] = ${$.type.value}(0); } `,k="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!r.transA&&r.transB?(B=` var col = k_start + local_id.x; @@ -1554,7 +1554,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (col < uniforms.K && row < uniforms.N) { tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col]; } else { - tile_b[local_id.y][local_id.x] = ${S.type.value}(0); + tile_b[local_id.y][local_id.x] = ${$.type.value}(0); } `,k="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!r.transA&&!r.transB&&(B=` var col = k_start + local_id.x; @@ -1570,13 +1570,13 @@ fn main(@builtin(local_invocation_id) localId : vec3, if (col < uniforms.N && row < uniforms.K) { tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col]; } else { - tile_b[local_id.y][local_id.x] = ${S.type.value}(0); + tile_b[local_id.y][local_id.x] = ${$.type.value}(0); } - `,k="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let R=r.alpha===1?"":"value *= uniforms.alpha;";return` - ${v.registerUniforms(E).declareVariables(...g)} + `,k="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let N=r.alpha===1?"":"value *= uniforms.alpha;";return` + ${b.registerUniforms(E).declareVariables(...g)} var tile_a: array, ${l}>; - var tile_b: array, ${l}>; - ${v.mainStart([l,l,1])} + var tile_b: array, ${l}>; + ${b.mainStart([l,l,1])} let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${l}; let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${l}; let num_tiles = (uniforms.K - 1) / ${l} + 1; @@ -1593,14 +1593,14 @@ fn main(@builtin(local_invocation_id) localId : vec3, workgroupBarrier(); } - ${R} + ${N} let m = tile_row_start + local_id.y; let n = tile_col_start + local_id.x; - ${x!=null?`let cOffset = ${x.broadcastedIndicesToOffset("vec2(m, n)",M)}; value += ${M.type.value}(uniforms.beta) * ${x.getByOffset("cOffset")};`:""} + ${T!=null?`let cOffset = ${T.broadcastedIndicesToOffset("vec2(m, n)",M)}; value += ${M.type.value}(uniforms.beta) * ${T.getByOffset("cOffset")};`:""} if (m < uniforms.M && n < uniforms.N) { output[m * uniforms.N + n] = value; } - }`};return u?{name:"GemmShared",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:d*p},programUniforms:w}),getShaderSource:A}:{name:"Gemm",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},p_=e=>{let r=e.transA,t=e.transB,s=e.alpha,i=e.beta;return{transA:r,transB:t,alpha:s,beta:i,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},h_=(e,r)=>{c_(e.inputs),e.compute(u_(e.inputs,r))}}),vs,Is,Mn,bn,m_,f_,__,g_,w_,y_,M_,b_,v_,x_,gv=je(()=>{pt(),yt(),Yt(),vt(),[vs,Is,Mn,bn]=[0,1,2,3],m_=e=>{if(e[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(e[0].dims.length!==e[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(e[0].dims.length-2!==e[1].dims[e[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${e[0].dims.length-2}`);if(e[0].dims[0]!==e[1].dims[0])throw new Error("grid batch size must match input batch size")},f_=` + }`};return u?{name:"GemmShared",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:d*p},programUniforms:w}),getShaderSource:A}:{name:"Gemm",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},hf=e=>{let r=e.transA,t=e.transB,s=e.alpha,i=e.beta;return{transA:r,transB:t,alpha:s,beta:i,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},mf=(e,r)=>{uf(e.inputs),e.compute(pf(e.inputs,r))}}),vs,Is,Mn,bn,_f,ff,gf,wf,yf,Mf,bf,vf,xf,Tf,Sv=Ue(()=>{pt(),Mt(),Yt(),xt(),[vs,Is,Mn,bn]=[0,1,2,3],_f=e=>{if(e[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(e[0].dims.length!==e[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(e[0].dims.length-2!==e[1].dims[e[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${e[0].dims.length-2}`);if(e[0].dims[0]!==e[1].dims[0])throw new Error("grid batch size must match input batch size")},ff=` fn gs_get_cubic_coeffs(x: f32) -> vec4 { let cubic_alpha = -0.75f; let x_abs = abs(x); @@ -1611,7 +1611,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha); return coeffs; } -`,__=e=>` +`,gf=e=>` fn gs_bicubic_interpolate(p: mat4x4<${e}>, x: f32, y: f32) -> ${e} { var v: vec4; var coeffs = gs_get_cubic_coeffs(x); @@ -1622,7 +1622,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, let pixel = ${e}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]); return pixel; } -`,g_=e=>` +`,wf=e=>` fn gs_denormalize(n: f32, length: i32) -> f32 { ${e.alignCorners===0?` // alignCorners: false => [-1, 1] to [-0.5, length - 0.5] @@ -1632,7 +1632,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, return (n + 1.0) / 2.0 * (f32(length - 1)); `} } -`,w_=e=>` +`,yf=e=>` ${e.paddingMode==="reflection"?` fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 { var dx = 0.0; @@ -1659,7 +1659,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, } return u32(fx); }`:""} -`,y_=(e,r,t)=>` +`,Mf=(e,r,t)=>` fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4) -> ${r} { var pixel = ${r}(0); var indices = vec4(0); @@ -1678,7 +1678,7 @@ fn main(@builtin(local_invocation_id) localId : vec3, `;default:throw new Error(`padding mode ${t.paddingMode} is not supported`)}})()+` return ${e.getByIndices("indices")}; } -`,M_=(e,r,t)=>(()=>{switch(t.mode){case"nearest":return` +`,bf=(e,r,t)=>(()=>{switch(t.mode){case"nearest":return` let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${vs}], indices[${Is}], border); `;case"bilinear":return` let x1 = i32(floor(x)); @@ -1709,13 +1709,13 @@ fn main(@builtin(local_invocation_id) localId : vec3, let dx = x - f32(x0 + 1); let dy = y - f32(y0 + 1); let result = gs_bicubic_interpolate(p, dx, dy); - `;default:throw new Error(`mode ${t.mode} is not supported`)}})()+`${e.setByOffset("global_idx","result")}`,b_=(e,r)=>{let t=$e("x",e[0].dataType,e[0].dims.length),s=[e[1].dims[0],e[1].dims[1],e[1].dims[2]],i=$e("grid",e[1].dataType,s.length,2),n=[e[0].dims[0],e[0].dims[1],e[1].dims[1],e[1].dims[2]];r.format==="NHWC"&&(n=[e[0].dims[0],e[1].dims[1],e[1].dims[2],e[0].dims[3]],[vs,Is,Mn,bn]=[0,3,1,2]);let o=tt("output",e[0].dataType,n.length),a=t.type.value,l=xe.size(n),d=[{type:12,data:l},...nt(e[0].dims,s,n)],p=u=>` + `;default:throw new Error(`mode ${t.mode} is not supported`)}})()+`${e.setByOffset("global_idx","result")}`,vf=(e,r)=>{let t=$e("x",e[0].dataType,e[0].dims.length),s=[e[1].dims[0],e[1].dims[1],e[1].dims[2]],i=$e("grid",e[1].dataType,s.length,2),n=[e[0].dims[0],e[0].dims[1],e[1].dims[1],e[1].dims[2]];r.format==="NHWC"&&(n=[e[0].dims[0],e[1].dims[1],e[1].dims[2],e[0].dims[3]],[vs,Is,Mn,bn]=[0,3,1,2]);let o=tt("output",e[0].dataType,n.length),a=t.type.value,l=xe.size(n),d=[{type:12,data:l},...nt(e[0].dims,s,n)],p=u=>` ${u.registerUniform("output_size","u32").declareVariables(t,i,o)} - ${f_} - ${__(a)} - ${g_(r)} - ${w_(r)} - ${y_(t,a,r)} + ${ff} + ${gf(a)} + ${wf(r)} + ${yf(r)} + ${Mf(t,a,r)} ${u.mainStart()} ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} @@ -1741,15 +1741,15 @@ fn main(@builtin(local_invocation_id) localId : vec3, var x = gs_denormalize(f32(nxy[0]), W_in); var y = gs_denormalize(f32(nxy[1]), H_in); - ${M_(o,a,r)} - }`;return{name:"GridSample",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:["type","type"]},getRunData:u=>{let h=xe.size(n);return{outputs:[{dims:n,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}},getShaderSource:p}},v_=(e,r)=>{m_(e.inputs),e.compute(b_(e.inputs,r))},x_=e=>Dt({alignCorners:e.align_corners,mode:e.mode,paddingMode:e.padding_mode,format:e.format})}),$r,T_,E_,gc,P_,Bi,C_,S_=je(()=>{pt(),yt(),Yt(),zd(),qd(),vt(),Gs(),$r=(e,r)=>e.length>r&&e[r].dims.length>0?e[r]:void 0,T_=(e,r)=>{let t=e[0],s=$r(e,1),i=$r(e,2),n=$r(e,3),o=$r(e,4),a=$r(e,5),l=$r(e,6),d=$r(e,7);if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let p=t.dims[0],u=t.dims[1],h=t.dims.length===3?t.dims[2]:r.numHeads*t.dims[4],w=u,_=0,P=0,A=Math.floor(h/r.numHeads);if(l&&d&&xe.size(l.dims)&&xe.size(d.dims)){if(l.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(l.dims[0]!==p||l.dims[1]!==r.numHeads||l.dims[3]!==A)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(d.dims[0]!==p||d.dims[1]!==r.numHeads||d.dims[3]!==A)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==d.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(d.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');_=l.dims[2],P=l.dims[2]}else if(l&&xe.size(l.dims)||d&&xe.size(d.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let v;if(s&&xe.size(s.dims)>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(s.dims[2]!==t.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');v=2,w=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==A)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');v=5,w=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==A)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');v=0,w=s.dims[2]}}else{if(t.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(t.dims[2]!==r.numHeads||t.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');v=3}if(n&&xe.size(n.dims)>0){if(n.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(s&&s.dims.length===5&&s.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let y=_+w,S=0;if(o&&xe.size(o.dims)>0){S=8;let E=o.dims;throw E.length===1?E[0]===p?S=1:E[0]===3*p+2&&(S=3):E.length===2&&E[0]===p&&E[1]===y&&(S=5),S===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let x=!1,g=h;if(i&&xe.size(i.dims)>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(w!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');g=i.dims[2]}else{if(w!==i.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');g=i.dims[1]*i.dims[3],x=!0}}let M=!1;if(o&&xe.size(o.dims)>0)throw new Error("Key padding mask is not supported");if(a&&xe.size(a.dims)>0){if(a.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(a.dims[0]!==p||a.dims[1]!==r.numHeads||a.dims[2]!==u||a.dims[3]!==y)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:p,sequenceLength:u,pastSequenceLength:_,kvSequenceLength:w,totalSequenceLength:y,maxSequenceLength:P,inputHiddenSize:0,hiddenSize:h,vHiddenSize:g,headSize:A,vHeadSize:Math.floor(g/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:S,scale:r.scale,broadcastResPosBias:M,passPastInKv:x,qkvFormat:v}},E_=e=>Dt({...e}),gc=Dt({perm:[0,2,1,3]}),P_=(e,r,t,s,i,n,o)=>{let a=[s,i,n],l=xe.size(a),d=[{type:12,data:l},{type:12,data:o},{type:12,data:n}],p=u=>{let h=tt("qkv_with_bias",r.dataType,a),w=$e("qkv",r.dataType,a),_=$e("bias",t.dataType,a),P=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return` - ${u.registerUniforms(P).declareVariables(w,_,h)} + ${bf(o,a,r)} + }`;return{name:"GridSample",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:["type","type"]},getRunData:u=>{let h=xe.size(n);return{outputs:[{dims:n,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}},getShaderSource:p}},xf=(e,r)=>{_f(e.inputs),e.compute(vf(e.inputs,r))},Tf=e=>Dt({alignCorners:e.align_corners,mode:e.mode,paddingMode:e.padding_mode,format:e.format})}),kr,Ef,Pf,wc,Cf,Bi,Sf,$f=Ue(()=>{pt(),Mt(),Yt(),Bd(),Qd(),xt(),Gs(),kr=(e,r)=>e.length>r&&e[r].dims.length>0?e[r]:void 0,Ef=(e,r)=>{let t=e[0],s=kr(e,1),i=kr(e,2),n=kr(e,3),o=kr(e,4),a=kr(e,5),l=kr(e,6),d=kr(e,7);if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let p=t.dims[0],u=t.dims[1],h=t.dims.length===3?t.dims[2]:r.numHeads*t.dims[4],w=u,f=0,P=0,A=Math.floor(h/r.numHeads);if(l&&d&&xe.size(l.dims)&&xe.size(d.dims)){if(l.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(l.dims[0]!==p||l.dims[1]!==r.numHeads||l.dims[3]!==A)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(d.dims[0]!==p||d.dims[1]!==r.numHeads||d.dims[3]!==A)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==d.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(d.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');f=l.dims[2],P=l.dims[2]}else if(l&&xe.size(l.dims)||d&&xe.size(d.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let b;if(s&&xe.size(s.dims)>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(s.dims[2]!==t.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');b=2,w=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==A)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');b=5,w=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==A)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');b=0,w=s.dims[2]}}else{if(t.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(t.dims[2]!==r.numHeads||t.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');b=3}if(n&&xe.size(n.dims)>0){if(n.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(s&&s.dims.length===5&&s.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let y=f+w,$=0;if(o&&xe.size(o.dims)>0){$=8;let E=o.dims;throw E.length===1?E[0]===p?$=1:E[0]===3*p+2&&($=3):E.length===2&&E[0]===p&&E[1]===y&&($=5),$===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let T=!1,g=h;if(i&&xe.size(i.dims)>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(w!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');g=i.dims[2]}else{if(w!==i.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');g=i.dims[1]*i.dims[3],T=!0}}let M=!1;if(o&&xe.size(o.dims)>0)throw new Error("Key padding mask is not supported");if(a&&xe.size(a.dims)>0){if(a.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(a.dims[0]!==p||a.dims[1]!==r.numHeads||a.dims[2]!==u||a.dims[3]!==y)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:p,sequenceLength:u,pastSequenceLength:f,kvSequenceLength:w,totalSequenceLength:y,maxSequenceLength:P,inputHiddenSize:0,hiddenSize:h,vHiddenSize:g,headSize:A,vHeadSize:Math.floor(g/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:$,scale:r.scale,broadcastResPosBias:M,passPastInKv:T,qkvFormat:b}},Pf=e=>Dt({...e}),wc=Dt({perm:[0,2,1,3]}),Cf=(e,r,t,s,i,n,o)=>{let a=[s,i,n],l=xe.size(a),d=[{type:12,data:l},{type:12,data:o},{type:12,data:n}],p=u=>{let h=tt("qkv_with_bias",r.dataType,a),w=$e("qkv",r.dataType,a),f=$e("bias",t.dataType,a),P=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return` + ${u.registerUniforms(P).declareVariables(w,f,h)} ${u.mainStart()} ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset; qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx]; - }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:r.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d}),getShaderSource:p},{inputs:[r,t],outputs:[-1]})[0]},Bi=(e,r,t,s,i,n,o,a)=>{let l=n;if(o&&xe.size(o.dims)>0){if(s===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return l=P_(e,n,o,r,s,t*i,a),l=l.reshape([r,s,t,i]),t===1||s===1?l:e.compute(Nr(l,gc.perm),{inputs:[l],outputs:[-1]})[0]}else return n.dims.length===3&&(l=n.reshape([r,s,t,i])),t===1||s===1?l:e.compute(Nr(l,gc.perm),{inputs:[l],outputs:[-1]})[0]},C_=(e,r)=>{let t=T_(e.inputs,r),s=e.inputs[0],i=$r(e.inputs,1),n=$r(e.inputs,2),o=$r(e.inputs,3),a=$r(e.inputs,4),l=$r(e.inputs,5),d=$r(e.inputs,6),p=$r(e.inputs,7);if(s.dims.length===5)throw new Error("Packed QKV is not implemented");if((i==null?void 0:i.dims.length)===5)throw new Error("Packed KV is not implemented");let u=i&&n&&i.dims.length===4&&n.dims.length===4,h=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,s,o,0);if(u)return Fi(e,h,i,n,a,void 0,d,p,l,t);if(!i||!n)throw new Error("key and value must be provided");let w=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.headSize,i,o,t.hiddenSize),_=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.vHeadSize,n,o,2*t.hiddenSize);Fi(e,h,w,_,a,void 0,d,p,l,t)}}),$_,k_,I_,A_,wc,F_,O_,D_=je(()=>{pt(),yt(),Yt(),vt(),$_=e=>{if(!e||e.length<1)throw new Error("too few inputs")},k_=(e,r)=>{let t=[],s=r.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(i=>t.push(Number(i))),s=t.length),Dt({numOutputs:s,axis:r.axis,splitSizes:t})},I_=e=>` + }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:r.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d}),getShaderSource:p},{inputs:[r,t],outputs:[-1]})[0]},Bi=(e,r,t,s,i,n,o,a)=>{let l=n;if(o&&xe.size(o.dims)>0){if(s===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return l=Cf(e,n,o,r,s,t*i,a),l=l.reshape([r,s,t,i]),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]}else return n.dims.length===3&&(l=n.reshape([r,s,t,i])),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]},Sf=(e,r)=>{let t=Ef(e.inputs,r),s=e.inputs[0],i=kr(e.inputs,1),n=kr(e.inputs,2),o=kr(e.inputs,3),a=kr(e.inputs,4),l=kr(e.inputs,5),d=kr(e.inputs,6),p=kr(e.inputs,7);if(s.dims.length===5)throw new Error("Packed QKV is not implemented");if((i==null?void 0:i.dims.length)===5)throw new Error("Packed KV is not implemented");let u=i&&n&&i.dims.length===4&&n.dims.length===4,h=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,s,o,0);if(u)return Fi(e,h,i,n,a,void 0,d,p,l,t);if(!i||!n)throw new Error("key and value must be provided");let w=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.headSize,i,o,t.hiddenSize),f=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.vHeadSize,n,o,2*t.hiddenSize);Fi(e,h,w,f,a,void 0,d,p,l,t)}}),kf,If,Af,Ff,yc,Of,Df,Lf=Ue(()=>{pt(),Mt(),Yt(),xt(),kf=e=>{if(!e||e.length<1)throw new Error("too few inputs")},If=(e,r)=>{let t=[],s=r.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(i=>t.push(Number(i))),s=t.length),Dt({numOutputs:s,axis:r.axis,splitSizes:t})},Af=e=>` fn calculateOutputIndex(index: u32) -> u32 { for (var i: u32 = 0u; i < ${e}u; i += 1u ) { if (index < ${rt("uniforms.size_in_split_axis","i",e)}) { @@ -1757,17 +1757,17 @@ fn calculateOutputIndex(index: u32) -> u32 { } } return ${e}u; -}`,A_=e=>{let r=e.length,t=[];for(let s=0;s{let r=e.length,t=[];for(let s=0;s{let t=e[0].dims,s=xe.size(t),i=e[0].dataType,n=xe.normalizeAxis(r.axis,t.length),o=new Array(r.numOutputs),a=$e("input",i,t.length),l=new Array(r.numOutputs),d=[],p=[],u=0,h=[{type:12,data:s}];for(let _=0;_` - ${_.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",l.length).declareVariables(a,...o)} - ${I_(l.length)} - ${A_(o)} + }`},yc=(e,r)=>{let t=e[0].dims,s=xe.size(t),i=e[0].dataType,n=xe.normalizeAxis(r.axis,t.length),o=new Array(r.numOutputs),a=$e("input",i,t.length),l=new Array(r.numOutputs),d=[],p=[],u=0,h=[{type:12,data:s}];for(let f=0;f` + ${f.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",l.length).declareVariables(a,...o)} + ${Af(l.length)} + ${Ff(o)} - ${_.mainStart()} - ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} + ${f.mainStart()} + ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} var indices = ${a.offsetToIndices("global_idx")}; var index = ${a.indicesGet("indices",n)}; @@ -1777,7 +1777,7 @@ fn calculateOutputIndex(index: u32) -> u32 { ${a.indicesSet("indices",n,"index")}; } writeBufferData(output_number, indices, global_idx); - }`;return{name:"Split",shaderCache:{hint:r.cacheKey,inputDependencies:["rank"]},getShaderSource:w,getRunData:()=>({outputs:d,dispatchGroup:{x:Math.ceil(s/64)},programUniforms:h})}},F_=(e,r)=>{$_(e.inputs);let t=e.inputs.length===1?r:k_(e.inputs,r);e.compute(wc(e.inputs,t),{inputs:[0]})},O_=e=>{let r=e.axis,t=e.splitSizes,s=e.numOutputs<0?t.length:e.numOutputs;if(s!==t.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Dt({axis:r,numOutputs:s,splitSizes:t})}}),L_,z_,yc,B_,wv=je(()=>{Yt(),qd(),S_(),D_(),Gs(),L_=(e,r)=>{if(r.doRotary)throw new Error("GroupQuerryAttention do_rotary attribute is not supported");if(r.doRotary&&e.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4];if(r.localWindowSize!==-1)throw new Error("Local attention is not supported");if(r.softcap!==0)throw new Error("Softcap is not supported");if(r.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(r.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let a=!1,l=t.dims[0],d=t.dims[1],p=t.dims.length===3?a?t.dims[2]/3:t.dims[2]:r.numHeads*t.dims[4],u=d,h=0,w=!s||s.dims.length===0,_=Math.floor(w?p/(r.numHeads+2*r.kvNumHeads):p/r.numHeads);w&&(p=_*r.numHeads);let P=n&&n.dims.length!==0,A=o&&o.dims.length!==0;if(P&&n.dims.length===4&&n.dims[0]===l&&n.dims[1]!==r.kvNumHeads&&n.dims[2]===r.kvNumHeads&&n.dims[3]===_)throw new Error("BSNH pastKey/pastValue is not supported");if(P&&A){if(n.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(o.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');h=n.dims[2]}else if(P||A)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let v=1;if(s&&s.dims.length>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(t.dims[2]%s.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');u=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==_)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');u=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==_)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=s.dims[2]}}else{if(t.dims.length!==3&&t.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(t.dims.length===5&&(t.dims[2]!==r.numHeads||t.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');v=3}let y=0,S=!1,x=r.kvNumHeads?_*r.kvNumHeads:p;if(i&&i.dims.length>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(u!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');x=i.dims[2]}else{if(u!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');x=i.dims[1]*i.dims[3],S=!0}}let g=e.length>4?e[5]:void 0;if(g&&g.dims.length!==1&&g.dims[0]!==l)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:l,sequenceLength:d,pastSequenceLength:h,kvSequenceLength:u,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:p,vHiddenSize:x,headSize:_,vHeadSize:Math.floor(x/r.kvNumHeads),numHeads:r.numHeads,kvNumHeads:r.kvNumHeads,nReps:r.numHeads/r.kvNumHeads,pastPresentShareBuffer:!1,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:S,qkvFormat:v}},z_=Dt({perm:[0,2,1,3]}),yc=(e,r,t)=>{let s=r,i=t.kvNumHeads;return r.dims.length===3&&t.kvSequenceLength!==0&&(s=r.reshape([t.batchSize,t.kvSequenceLength,i,t.headSize]),s=e.compute(Nr(s,z_.perm),{inputs:[s],outputs:[-1]})[0]),s},B_=(e,r)=>{var A;let t=L_(e.inputs,r);if(e.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((A=e.inputs[1])==null?void 0:A.dims.length)===5)throw new Error("Packed KV is not implemented");let s=e.inputs[0],i=e.inputs[1]&&e.inputs[1].dims.length>0?e.inputs[1]:void 0,n=e.inputs[2]&&e.inputs[2].dims.length>0?e.inputs[2]:void 0,o=e.inputs[3]&&e.inputs[3].dims.length!==0?e.inputs[3]:void 0,a=e.inputs[4]&&e.inputs[4].dims.length!==0?e.inputs[4]:void 0,l=e.inputs.length>4?e.inputs[5]:void 0,d=e.inputs.length>5?e.inputs[6]:void 0,p=t.kvNumHeads?t.kvNumHeads:t.numHeads,u=Dt({axis:2,numOutputs:3,splitSizes:[t.numHeads*t.headSize,p*t.headSize,p*t.headSize]}),[h,w,_]=!i&&!n?e.compute(wc([s],u),{inputs:[s],outputs:[-1,-1,-1]}):[s,i,n],P=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,h,void 0,0);Fi(e,P,yc(e,w,t),yc(e,_,t),void 0,void 0,o,a,void 0,t,l,d)}}),Mc,R_,N_,j_,yv=je(()=>{pt(),yt(),Gs(),vt(),Mc=(e,r,t,s,i,n,o,a)=>{let l=Xt(n),d=l===1?"f32":`vec${l}f`,p=l===1?"vec2f":`mat2x${l}f`,u=i*o,h=64;u===1&&(h=256);let w=[i,o,n/l],_=[i,o,2],P=["rank","type","type"],A=[];A.push(...nt(w,_));let v=y=>{let S=$e("x",r.dataType,3,l),x=$e("scale",t.dataType,t.dims),g=$e("bias",s.dataType,s.dims),M=tt("output",1,3,2),E=[S,x,g,M];return` + }`;return{name:"Split",shaderCache:{hint:r.cacheKey,inputDependencies:["rank"]},getShaderSource:w,getRunData:()=>({outputs:d,dispatchGroup:{x:Math.ceil(s/64)},programUniforms:h})}},Of=(e,r)=>{kf(e.inputs);let t=e.inputs.length===1?r:If(e.inputs,r);e.compute(yc(e.inputs,t),{inputs:[0]})},Df=e=>{let r=e.axis,t=e.splitSizes,s=e.numOutputs<0?t.length:e.numOutputs;if(s!==t.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Dt({axis:r,numOutputs:s,splitSizes:t})}}),zf,Bf,Mc,Rf,$v=Ue(()=>{Yt(),Qd(),$f(),Lf(),Gs(),zf=(e,r)=>{if(r.doRotary)throw new Error("GroupQuerryAttention do_rotary attribute is not supported");if(r.doRotary&&e.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4];if(r.localWindowSize!==-1)throw new Error("Local attention is not supported");if(r.softcap!==0)throw new Error("Softcap is not supported");if(r.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(r.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let a=!1,l=t.dims[0],d=t.dims[1],p=t.dims.length===3?a?t.dims[2]/3:t.dims[2]:r.numHeads*t.dims[4],u=d,h=0,w=!s||s.dims.length===0,f=Math.floor(w?p/(r.numHeads+2*r.kvNumHeads):p/r.numHeads);w&&(p=f*r.numHeads);let P=n&&n.dims.length!==0,A=o&&o.dims.length!==0;if(P&&n.dims.length===4&&n.dims[0]===l&&n.dims[1]!==r.kvNumHeads&&n.dims[2]===r.kvNumHeads&&n.dims[3]===f)throw new Error("BSNH pastKey/pastValue is not supported");if(P&&A){if(n.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(o.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');h=n.dims[2]}else if(P||A)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let b=1;if(s&&s.dims.length>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(t.dims[2]%s.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');u=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==f)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');u=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==f)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=s.dims[2]}}else{if(t.dims.length!==3&&t.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(t.dims.length===5&&(t.dims[2]!==r.numHeads||t.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');b=3}let y=0,$=!1,T=r.kvNumHeads?f*r.kvNumHeads:p;if(i&&i.dims.length>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(u!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');T=i.dims[2]}else{if(u!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');T=i.dims[1]*i.dims[3],$=!0}}let g=e.length>4?e[5]:void 0;if(g&&g.dims.length!==1&&g.dims[0]!==l)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:l,sequenceLength:d,pastSequenceLength:h,kvSequenceLength:u,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:p,vHiddenSize:T,headSize:f,vHeadSize:Math.floor(T/r.kvNumHeads),numHeads:r.numHeads,kvNumHeads:r.kvNumHeads,nReps:r.numHeads/r.kvNumHeads,pastPresentShareBuffer:!1,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:$,qkvFormat:b}},Bf=Dt({perm:[0,2,1,3]}),Mc=(e,r,t)=>{let s=r,i=t.kvNumHeads;return r.dims.length===3&&t.kvSequenceLength!==0&&(s=r.reshape([t.batchSize,t.kvSequenceLength,i,t.headSize]),s=e.compute(Nr(s,Bf.perm),{inputs:[s],outputs:[-1]})[0]),s},Rf=(e,r)=>{var A;let t=zf(e.inputs,r);if(e.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((A=e.inputs[1])==null?void 0:A.dims.length)===5)throw new Error("Packed KV is not implemented");let s=e.inputs[0],i=e.inputs[1]&&e.inputs[1].dims.length>0?e.inputs[1]:void 0,n=e.inputs[2]&&e.inputs[2].dims.length>0?e.inputs[2]:void 0,o=e.inputs[3]&&e.inputs[3].dims.length!==0?e.inputs[3]:void 0,a=e.inputs[4]&&e.inputs[4].dims.length!==0?e.inputs[4]:void 0,l=e.inputs.length>4?e.inputs[5]:void 0,d=e.inputs.length>5?e.inputs[6]:void 0,p=t.kvNumHeads?t.kvNumHeads:t.numHeads,u=Dt({axis:2,numOutputs:3,splitSizes:[t.numHeads*t.headSize,p*t.headSize,p*t.headSize]}),[h,w,f]=!i&&!n?e.compute(yc([s],u),{inputs:[s],outputs:[-1,-1,-1]}):[s,i,n],P=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,h,void 0,0);Fi(e,P,Mc(e,w,t),Mc(e,f,t),void 0,void 0,o,a,void 0,t,l,d)}}),bc,Nf,jf,Uf,kv=Ue(()=>{pt(),Mt(),Gs(),xt(),bc=(e,r,t,s,i,n,o,a)=>{let l=Xt(n),d=l===1?"f32":`vec${l}f`,p=l===1?"vec2f":`mat2x${l}f`,u=i*o,h=64;u===1&&(h=256);let w=[i,o,n/l],f=[i,o,2],P=["rank","type","type"],A=[];A.push(...nt(w,f));let b=y=>{let $=$e("x",r.dataType,3,l),T=$e("scale",t.dataType,t.dims),g=$e("bias",s.dataType,s.dims),M=tt("output",1,3,2),E=[$,T,g,M];return` var workgroup_shared : array<${p}, ${h}>; const workgroup_size = ${h}u; ${y.declareVariables(...E)} @@ -1789,7 +1789,7 @@ fn calculateOutputIndex(index: u32) -> u32 { var sum = ${d}(0); var squared_sum = ${d}(0); for (var h = local_idx; h < hight; h += workgroup_size) { - let value = ${d}(${S.get("batch","channel","h")}); + let value = ${d}(${$.get("batch","channel","h")}); sum += value; squared_sum += value * value; } @@ -1811,59 +1811,59 @@ fn calculateOutputIndex(index: u32) -> u32 { let channel_shift = f32(bias[channel]) - sum_final * channel_scale; output[workgroup_index] = vec2f(channel_scale, channel_shift); } - }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${l};${a};${h}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:_,dataType:1}],dispatchGroup:{x:u},programUniforms:A}),getShaderSource:v},{inputs:[r,t,s],outputs:[-1]})[0]},R_=(e,r,t)=>{let s=r[0].dims,i=s,n=2,o=s[0],a=s[1],l=xe.sizeFromDimension(s,n),d=Xt(l),p=xe.size(i)/d,u=Mc(e,r[0],r[1],r[2],o,l,a,t.epsilon),h=[o,a,l/d],w=[o,a],_=["type","none"],P=A=>{let v=$e("x",r[0].dataType,h.length,d),y=$e("scale_shift",1,w.length,2),S=tt("output",r[0].dataType,h.length,d),x=[v,y,S];return` - ${A.registerUniform("output_size","u32").declareVariables(...x)} + }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${l};${a};${h}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:f,dataType:1}],dispatchGroup:{x:u},programUniforms:A}),getShaderSource:b},{inputs:[r,t,s],outputs:[-1]})[0]},Nf=(e,r,t)=>{let s=r[0].dims,i=s,n=2,o=s[0],a=s[1],l=xe.sizeFromDimension(s,n),d=Xt(l),p=xe.size(i)/d,u=bc(e,r[0],r[1],r[2],o,l,a,t.epsilon),h=[o,a,l/d],w=[o,a],f=["type","none"],P=A=>{let b=$e("x",r[0].dataType,h.length,d),y=$e("scale_shift",1,w.length,2),$=tt("output",r[0].dataType,h.length,d),T=[b,y,$];return` + ${A.registerUniform("output_size","u32").declareVariables(...T)} ${A.mainStart()} ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} - let outputIndices = ${S.offsetToIndices("global_idx")}; + let outputIndices = ${$.offsetToIndices("global_idx")}; let batch = outputIndices[0]; let channel = outputIndices[1]; let scale_shift = ${y.getByIndices("vec2(batch, channel)")}; - let value = ${v.getByOffset("global_idx")} * ${S.type.value}(scale_shift.x) + ${S.type.value}(scale_shift.y); - ${S.setByOffset("global_idx","value")}; - }`};e.compute({name:"InstanceNormalization",shaderCache:{hint:`${d}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},...nt(h,w,h)]}),getShaderSource:P},{inputs:[r[0],u]})},N_=(e,r,t)=>{let s=r[0].dims,i=s,n=s[0],o=s[s.length-1],a=xe.sizeFromDimension(s,1)/o,l=Xt(o),d=xe.size(i)/l,p=[{type:12,data:a},{type:12,data:Math.floor(o/l)}],u=["type","type"],h=!1,w=[0,s.length-1];for(let v=0;vs[w[y]])),P=Mc(e,_,r[1],r[2],n,a,o,t.epsilon),A=v=>{let y=lr(r[0].dataType),S=l===1?"vec2f":`mat${l}x2f`,x=E=>{let k=E===0?"x":"y",B=l===1?"f32":`vec${l}f`;switch(l){case 1:return`${y}(${B}(scale.${k}))`;case 2:return`vec2<${y}>(${B}(scale[0].${k}, scale[1].${k}))`;case 4:return`vec4<${y}>(${B}(scale[0].${k}, scale[1].${k}, scale[2].${k}, scale[3].${k}))`;default:throw new Error(`Not supported compoents ${l}`)}},g=$e("input",r[0].dataType,r[0].dims,l),M=tt("output",r[0].dataType,i,l);return` + let value = ${b.getByOffset("global_idx")} * ${$.type.value}(scale_shift.x) + ${$.type.value}(scale_shift.y); + ${$.setByOffset("global_idx","value")}; + }`};e.compute({name:"InstanceNormalization",shaderCache:{hint:`${d}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},...nt(h,w,h)]}),getShaderSource:P},{inputs:[r[0],u]})},jf=(e,r,t)=>{let s=r[0].dims,i=s,n=s[0],o=s[s.length-1],a=xe.sizeFromDimension(s,1)/o,l=Xt(o),d=xe.size(i)/l,p=[{type:12,data:a},{type:12,data:Math.floor(o/l)}],u=["type","type"],h=!1,w=[0,s.length-1];for(let b=0;bs[w[y]])),P=bc(e,f,r[1],r[2],n,a,o,t.epsilon),A=b=>{let y=lr(r[0].dataType),$=l===1?"vec2f":`mat${l}x2f`,T=E=>{let k=E===0?"x":"y",B=l===1?"f32":`vec${l}f`;switch(l){case 1:return`${y}(${B}(scale.${k}))`;case 2:return`vec2<${y}>(${B}(scale[0].${k}, scale[1].${k}))`;case 4:return`vec4<${y}>(${B}(scale[0].${k}, scale[1].${k}, scale[2].${k}, scale[3].${k}))`;default:throw new Error(`Not supported compoents ${l}`)}},g=$e("input",r[0].dataType,r[0].dims,l),M=tt("output",r[0].dataType,i,l);return` @group(0) @binding(0) var input : array<${g.type.storage}>; - @group(0) @binding(1) var scale_input : array<${S}>; + @group(0) @binding(1) var scale_input : array<${$}>; @group(0) @binding(2) var output : array<${M.type.storage}>; struct Uniforms {H: u32, C : u32}; @group(0) @binding(3) var uniforms: Uniforms; - ${v.mainStart()} + ${b.mainStart()} let current_image_number = global_idx / (uniforms.C * uniforms.H); let current_channel_number = global_idx % uniforms.C; let scale_offset = current_image_number * uniforms.C + current_channel_number; let scale = scale_input[scale_offset]; - output[global_idx] = fma(input[global_idx], ${x(0)}, ${x(1)}); - }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${l}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:A},{inputs:[r[0],P]})},j_=(e,r)=>{r.format==="NHWC"?N_(e,e.inputs,r):R_(e,e.inputs,r)}}),U_,V_,W_,Mv=je(()=>{pt(),yt(),vt(),U_=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},V_=(e,r,t)=>{let s=r.simplified,i=e[0].dims,n=e[1],o=!s&&e[2],a=i,l=xe.normalizeAxis(r.axis,i.length),d=xe.sizeToDimension(i,l),p=xe.sizeFromDimension(i,l),u=xe.size(n.dims),h=o?xe.size(o.dims):0;if(u!==p||o&&h!==p)throw new Error(`Size of X.shape()[axis:] == ${p}. + output[global_idx] = fma(input[global_idx], ${T(0)}, ${T(1)}); + }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${l}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:A},{inputs:[r[0],P]})},Uf=(e,r)=>{r.format==="NHWC"?jf(e,e.inputs,r):Nf(e,e.inputs,r)}}),Vf,Wf,Gf,Iv=Ue(()=>{pt(),Mt(),xt(),Vf=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},Wf=(e,r,t)=>{let s=r.simplified,i=e[0].dims,n=e[1],o=!s&&e[2],a=i,l=xe.normalizeAxis(r.axis,i.length),d=xe.sizeToDimension(i,l),p=xe.sizeFromDimension(i,l),u=xe.size(n.dims),h=o?xe.size(o.dims):0;if(u!==p||o&&h!==p)throw new Error(`Size of X.shape()[axis:] == ${p}. Size of scale and bias (if provided) must match this. - Got scale size of ${u} and bias size of ${h}`);let w=[];for(let g=0;g1,y=t>2,S=g=>{let M=lr(e[0].dataType),E=[$e("x",e[0].dataType,e[0].dims,_),$e("scale",n.dataType,n.dims,_)];o&&E.push($e("bias",o.dataType,o.dims,_)),E.push(tt("output",e[0].dataType,a,_)),v&&E.push(tt("mean_data_output",1,w)),y&&E.push(tt("inv_std_output",1,w));let k=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return` + Got scale size of ${u} and bias size of ${h}`);let w=[];for(let g=0;g1,y=t>2,$=g=>{let M=lr(e[0].dataType),E=[$e("x",e[0].dataType,e[0].dims,f),$e("scale",n.dataType,n.dims,f)];o&&E.push($e("bias",o.dataType,o.dims,f)),E.push(tt("output",e[0].dataType,a,f)),b&&E.push(tt("mean_data_output",1,w)),y&&E.push(tt("inv_std_output",1,w));let k=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return` ${g.registerUniforms(k).declareVariables(...E)} ${g.mainStart()} ${g.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")} let offset = global_idx * uniforms.norm_size_vectorized; - var mean_vector = ${jd("f32",_)}; - var mean_square_vector = ${jd("f32",_)}; + var mean_vector = ${Ud("f32",f)}; + var mean_square_vector = ${Ud("f32",f)}; for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { - let value = ${Un(M,_,"x[h + offset]")}; + let value = ${Un(M,f,"x[h + offset]")}; mean_vector += value; mean_square_vector += value * value; } - let mean = ${Ws("mean_vector",_)} / uniforms.norm_size; - let inv_std_dev = inverseSqrt(${Ws("mean_square_vector",_)} / uniforms.norm_size ${s?"":"- mean * mean"} + uniforms.epsilon); + let mean = ${Ws("mean_vector",f)} / uniforms.norm_size; + let inv_std_dev = inverseSqrt(${Ws("mean_square_vector",f)} / uniforms.norm_size ${s?"":"- mean * mean"} + uniforms.epsilon); for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { - let f32input = ${Un(M,_,"x[j + offset]")}; - let f32scale = ${Un(M,_,"scale[j]")}; + let f32input = ${Un(M,f,"x[j + offset]")}; + let f32scale = ${Un(M,f,"scale[j]")}; output[j + offset] = ${E[0].type.value}((f32input ${s?"":"- mean"}) * inv_std_dev * f32scale - ${o?`+ ${Un(M,_,"bias[j]")}`:""} + ${o?`+ ${Un(M,f,"bias[j]")}`:""} ); } - ${v?"mean_data_output[global_idx] = mean":""}; + ${b?"mean_data_output[global_idx] = mean":""}; ${y?"inv_std_output[global_idx] = inv_std_dev":""}; - }`},x=[{dims:a,dataType:e[0].dataType}];return v&&x.push({dims:w,dataType:1}),y&&x.push({dims:w,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${_};${t};${s}`,inputDependencies:P},getRunData:()=>({outputs:x,dispatchGroup:{x:Math.ceil(d/64)},programUniforms:A}),getShaderSource:S}},W_=(e,r)=>{U_(e.inputs),e.compute(V_(e.inputs,r,e.outputCount))}}),G_,K_,bv=je(()=>{yt(),rc(),oc(),G_=e=>{if(!e||e.length!==2)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.")},K_=e=>{G_(e.inputs);let r=Nn.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!r)throw new Error("Can't use matmul on the given tensors");let t=r[r.length-1],s=e.inputs[0].dims[e.inputs[0].dims.length-1];if(t<8&&s<8)e.compute(tc(e.inputs,{activation:""},r));else{let i=r[r.length-2],n=xe.size(e.inputs[0].dims.slice(0,-2)),o=xe.size(e.inputs[1].dims.slice(0,-2));if(n!==1&&i===1&&o===1){let a=e.inputs[0].reshape([1,n,s]),l=e.inputs[1].reshape([1,s,t]),d=[1,n,t],p=[a,l];e.compute(Ca(p,{activation:""},r,d),{inputs:p})}else e.compute(Ca(e.inputs,{activation:""},r))}}}),H_,q_,Q_,X_,J_,vv=je(()=>{pt(),yt(),Yt(),vt(),H_=(e,r)=>{if(e.length<3||e.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let t=e[0],s=t.dims.length;if(t.dims[s-1]!==r.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((r.k+r.blockSize-1)/r.blockSize),n=r.blockSize/8*r.bits,o=e[1];if(!xe.areEqual(o.dims,[r.n,i,n]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let a=e[2].dims;if(xe.size(a)!==r.n*i)throw new Error("scales input size error.");if(e.length===4){let l=e[3].dims,d=r.bits>4?r.n*i:r.n*Math.floor((i+1)/2);if(xe.size(l)!==d)throw new Error("zeroPoints input size error.")}},q_=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=Xt(o),_=a.concat([i,o]),P=i>1&&o/w%2===0?2:1,A=xe.size(_)/w/P,v=64,y=[],S=[l,i,n/u],x=xe.convertShape(e[1].dims).slice();x.splice(-1,1,d/h),y.push(...nt(S)),y.push(...nt(x)),y.push(...nt(e[2].dims)),e.length===4&&y.push(...nt(xe.convertShape(e[3].dims)));let g=[l,i,o/w];y.push(...nt(g));let M=E=>{let k=S.length,B=$e("a",e[0].dataType,k,u),R=$e("b",12,x.length,h),J=$e("scales",e[2].dataType,e[2].dims.length),q=[B,R,J],V=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;V&&q.push(V);let Y=g.length,H=tt("output",e[0].dataType,Y,w),Q=lr(e[0].dataType),ie=(()=>{switch(u){case 1:return`array<${Q}, 8>`;case 2:return`mat4x2<${Q}>`;case 4:return`mat2x4<${Q}>`;default:throw new Error(`${u}-component is not supported.`)}})(),le=()=>{let N=` + }`},T=[{dims:a,dataType:e[0].dataType}];return b&&T.push({dims:w,dataType:1}),y&&T.push({dims:w,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${f};${t};${s}`,inputDependencies:P},getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(d/64)},programUniforms:A}),getShaderSource:$}},Gf=(e,r)=>{Vf(e.inputs),e.compute(Wf(e.inputs,r,e.outputCount))}}),Kf,Hf,Av=Ue(()=>{Mt(),sc(),ac(),Kf=e=>{if(!e||e.length!==2)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.")},Hf=e=>{Kf(e.inputs);let r=Nn.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!r)throw new Error("Can't use matmul on the given tensors");let t=r[r.length-1],s=e.inputs[0].dims[e.inputs[0].dims.length-1];if(t<8&&s<8)e.compute(rc(e.inputs,{activation:""},r));else{let i=r[r.length-2],n=xe.size(e.inputs[0].dims.slice(0,-2)),o=xe.size(e.inputs[1].dims.slice(0,-2));if(n!==1&&i===1&&o===1){let a=e.inputs[0].reshape([1,n,s]),l=e.inputs[1].reshape([1,s,t]),d=[1,n,t],p=[a,l];e.compute(Ca(p,{activation:""},r,d),{inputs:p})}else e.compute(Ca(e.inputs,{activation:""},r))}}}),qf,Qf,Xf,Jf,Yf,Fv=Ue(()=>{pt(),Mt(),Yt(),xt(),qf=(e,r)=>{if(e.length<3||e.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let t=e[0],s=t.dims.length;if(t.dims[s-1]!==r.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((r.k+r.blockSize-1)/r.blockSize),n=r.blockSize/8*r.bits,o=e[1];if(!xe.areEqual(o.dims,[r.n,i,n]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let a=e[2].dims;if(xe.size(a)!==r.n*i)throw new Error("scales input size error.");if(e.length===4){let l=e[3].dims,d=r.bits>4?r.n*i:r.n*Math.floor((i+1)/2);if(xe.size(l)!==d)throw new Error("zeroPoints input size error.")}},Qf=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=Xt(o),f=a.concat([i,o]),P=i>1&&o/w%2===0?2:1,A=xe.size(f)/w/P,b=64,y=[],$=[l,i,n/u],T=xe.convertShape(e[1].dims).slice();T.splice(-1,1,d/h),y.push(...nt($)),y.push(...nt(T)),y.push(...nt(e[2].dims)),e.length===4&&y.push(...nt(xe.convertShape(e[3].dims)));let g=[l,i,o/w];y.push(...nt(g));let M=E=>{let k=$.length,B=$e("a",e[0].dataType,k,u),N=$e("b",12,T.length,h),J=$e("scales",e[2].dataType,e[2].dims.length),q=[B,N,J],V=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;V&&q.push(V);let Y=g.length,H=tt("output",e[0].dataType,Y,w),Q=lr(e[0].dataType),ie=(()=>{switch(u){case 1:return`array<${Q}, 8>`;case 2:return`mat4x2<${Q}>`;case 4:return`mat2x4<${Q}>`;default:throw new Error(`${u}-component is not supported.`)}})(),le=()=>{let R=` // reuse a data var input_offset = ${B.indicesToOffset(`${B.type.indices}(batch, row, word_offset)`)}; var a_data: ${ie}; @@ -1871,14 +1871,14 @@ fn calculateOutputIndex(index: u32) -> u32 { a_data[j] = ${B.getByOffset("input_offset")}; input_offset++; } - `;for(let O=0;O> 4) & b_mask); b_quantized_values = ${ie}(${Array.from({length:4},(G,ne)=>`${Q}(b_value_lower[${ne}]), ${Q}(b_value_upper[${ne}])`).join(", ")}); b_dequantized_values = ${u===1?`${ie}(${Array.from({length:8},(G,ne)=>`(b_quantized_values[${ne}] - ${V?`zero_point${O}`:"zero_point"}) * scale${O}`).join(", ")});`:`(b_quantized_values - ${ie}(${Array(8).fill(`${V?`zero_point${O}`:"zero_point"}`).join(",")})) * scale${O};`}; workgroup_shared[local_id.x * ${P} + ${Math.floor(O/w)}]${w>1?`[${O%w}]`:""} += ${Array.from({length:8/u},(G,ne)=>`${u===1?`a_data[${ne}] * b_dequantized_values[${ne}]`:`dot(a_data[${ne}], b_dequantized_values[${ne}])`}`).join(" + ")}; - `;return N},ae=()=>{let N=` + `;return R},ae=()=>{let R=` var col_index = col * ${w}; ${V?` let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2; @@ -1890,7 +1890,7 @@ fn calculateOutputIndex(index: u32) -> u32 { var zero_point_word: u32;`:` // The default zero point is 8 for unsigned 4-bit quantization. let zero_point = ${Q}(8);`} - `;for(let O=0;O> 0x1u); @@ -1899,30 +1899,30 @@ fn calculateOutputIndex(index: u32) -> u32 { zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); zero_point_word = ${V.getByOffset("zero_point_word_index")} >> zero_point_bits_offset; let zero_point${O} = ${Q}((zero_point_word) & 0xFu);`:""} - col_index += 1;`;return N},ge=()=>{let N=`col_index = col * ${w};`;for(let O=0;O{let R=`col_index = col * ${w};`;for(let O=0;O; var b_value_upper: vec4; var b_quantized_values: ${ie}; - var b_dequantized_values: ${ie};`,N};return` - var workgroup_shared: array<${H.type.value}, ${P*v}>; + var b_dequantized_values: ${ie};`,R};return` + var workgroup_shared: array<${H.type.value}, ${P*b}>; ${E.declareVariables(...q,H)} - ${E.mainStart([v,1,1])} - let output_indices = ${H.offsetToIndices(`(global_idx / ${v}) * ${P}`)}; + ${E.mainStart([b,1,1])} + let output_indices = ${H.offsetToIndices(`(global_idx / ${b}) * ${P}`)}; let col = output_indices[2]; let row = output_indices[1]; let batch = output_indices[0]; let nBlocksPerCol = uniforms.b_shape[1]; - for (var block = local_id.x; block < nBlocksPerCol; block += ${v}) { + for (var block = local_id.x; block < nBlocksPerCol; block += ${b}) { //process one block var word_offset: u32 = block * ${r.blockSize/u}; ${ae()} for (var word: u32 = 0; word < ${d}; word += ${h}) { - ${ge()} + ${we()} for (var i: u32 = 0; i < ${h}; i++) { ${le()} word_offset += ${8/u}; @@ -1934,13 +1934,13 @@ fn calculateOutputIndex(index: u32) -> u32 { if (local_id.x < ${P}) { var output_value: ${H.type.value} = ${H.type.value}(0); var workgroup_shared_offset: u32 = local_id.x; - for (var b: u32 = 0u; b < ${v}u; b++) { + for (var b: u32 = 0u; b < ${b}u; b++) { output_value += workgroup_shared[workgroup_shared_offset]; workgroup_shared_offset += ${P}; } ${H.setByIndices(`${H.type.indices}(batch, row, col + local_id.x)`,"output_value")}; } - }`};return{name:"MatMulNBits",shaderCache:{hint:`${r.blockSize};${r.bits};${u};${h};${w};${P};${v}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:_,dataType:p}],dispatchGroup:{x:A},programUniforms:y}),getShaderSource:M}},Q_=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=a.concat([i,o]),_=128,P=o%8===0?8:o%4===0?4:1,A=_/P,v=A*h*8,y=v/u,S=v/r.blockSize,x=xe.size(w)/P,g=[],M=[l,i,n/u],E=xe.convertShape(e[1].dims).slice();E.splice(-1,1,d/h),g.push(...nt(M)),g.push(...nt(E)),g.push(...nt(e[2].dims)),e.length===4&&g.push(...nt(xe.convertShape(e[3].dims)));let k=[l,i,o];g.push(...nt(k));let B=R=>{let J=M.length,q=$e("a",e[0].dataType,J,u),V=$e("b",12,E.length,h),Y=$e("scales",e[2].dataType,e[2].dims.length),H=[q,V,Y],Q=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;Q&&H.push(Q);let ie=k.length,le=tt("output",e[0].dataType,ie),ae=lr(e[0].dataType),ge=()=>{switch(u){case 1:return` + }`};return{name:"MatMulNBits",shaderCache:{hint:`${r.blockSize};${r.bits};${u};${h};${w};${P};${b}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:f,dataType:p}],dispatchGroup:{x:A},programUniforms:y}),getShaderSource:M}},Xf=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=a.concat([i,o]),f=128,P=o%8===0?8:o%4===0?4:1,A=f/P,b=A*h*8,y=b/u,$=b/r.blockSize,T=xe.size(w)/P,g=[],M=[l,i,n/u],E=xe.convertShape(e[1].dims).slice();E.splice(-1,1,d/h),g.push(...nt(M)),g.push(...nt(E)),g.push(...nt(e[2].dims)),e.length===4&&g.push(...nt(xe.convertShape(e[3].dims)));let k=[l,i,o];g.push(...nt(k));let B=N=>{let J=M.length,q=$e("a",e[0].dataType,J,u),V=$e("b",12,E.length,h),Y=$e("scales",e[2].dataType,e[2].dims.length),H=[q,V,Y],Q=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;Q&&H.push(Q);let ie=k.length,le=tt("output",e[0].dataType,ie),ae=lr(e[0].dataType),we=()=>{switch(u){case 1:return` let a_data0 = vec4<${ae}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]); let a_data1 = vec4<${ae}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return` let a_data0 = vec4<${ae}>(sub_a[word_offset], sub_a[word_offset + 1]); @@ -1949,20 +1949,20 @@ fn calculateOutputIndex(index: u32) -> u32 { let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${u}-component is not supported.`)}};return` var sub_a: array<${q.type.value}, ${y}>; var inter_results: array, ${P}>; - ${R.declareVariables(...H,le)} - ${R.mainStart([A,P,1])} + ${N.declareVariables(...H,le)} + ${N.mainStart([A,P,1])} let output_indices = ${le.offsetToIndices(`workgroup_index * ${P}`)}; let col = output_indices[2]; let row = output_indices[1]; let batch = output_indices[0]; let n_blocks_per_col = uniforms.b_shape[1]; - let num_tiles = (n_blocks_per_col - 1) / ${S} + 1; + let num_tiles = (n_blocks_per_col - 1) / ${$} + 1; // Loop over shared dimension. for (var tile: u32 = 0; tile < num_tiles; tile += 1) { let a_col_start = tile * ${y}; // load one tile A data into shared memory. - for (var a_offset = local_idx; a_offset < ${y}; a_offset += ${_}) + for (var a_offset = local_idx; a_offset < ${y}; a_offset += ${f}) { let a_col = a_col_start + a_offset; if (a_col < uniforms.a_shape[2]) @@ -1976,7 +1976,7 @@ fn calculateOutputIndex(index: u32) -> u32 { // each thread process one block let b_row = col + local_id.y; - let block = tile * ${S} + local_id.x; + let block = tile * ${$} + local_id.x; ${Q?` let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2; let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u); @@ -1992,13 +1992,13 @@ fn calculateOutputIndex(index: u32) -> u32 { let b_data = ${V.getByIndices(`${V.type.indices}(b_row, block, 0)`)}; var word_offset = local_id.x * ${r.blockSize/u}; for (var i: u32 = 0; i < ${h}; i++) { - ${ge()} + ${we()} let b_value = ${h===1?"b_data":"b_data[i]"}; let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu); let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu); - let b_quantized_values = mat2x4<${ae}>(${Array.from({length:4},(N,O)=>`${ae}(b_value_lower[${O}]), ${ae}(b_value_upper[${O}])`).join(", ")}); + let b_quantized_values = mat2x4<${ae}>(${Array.from({length:4},(R,O)=>`${ae}(b_value_lower[${O}]), ${ae}(b_value_upper[${O}])`).join(", ")}); let b_dequantized_values = (b_quantized_values - mat2x4<${ae}>(${Array(8).fill("zero_point").join(",")})) * scale; - inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(N,O)=>`${`dot(a_data${O}, b_dequantized_values[${O}])`}`).join(" + ")}; + inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(R,O)=>`${`dot(a_data${O}, b_dequantized_values[${O}])`}`).join(" + ")}; word_offset += ${8/u}; } workgroupBarrier(); @@ -2014,7 +2014,7 @@ fn calculateOutputIndex(index: u32) -> u32 { ${le.setByIndices(`${le.type.indices}(batch, row, col + local_idx)`,"output_value")} } } - }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${r.blockSize};${u};${h};${A};${P}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:w,dataType:p}],dispatchGroup:{x},programUniforms:g}),getShaderSource:B}},X_=(e,r)=>{H_(e.inputs,r),r.blockSize===32&&e.adapterInfo.isVendor("intel")&&e.adapterInfo.isArchitecture("gen-12lp")?e.compute(Q_(e.inputs,r)):e.compute(q_(e.inputs,r))},J_=e=>Dt(e)}),Y_,Z_,eg,tg,rg,sg,ng,ig,og,xv=je(()=>{pt(),yt(),vt(),Y_=e=>{if(!e||e.length<1)throw new Error("Too few inputs");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error("Input type must be float or float16.");if(e.length>=2){let r=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(r=e[3].dims[0]*2===e[1].dims[0]),!r)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},Z_=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` + }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${r.blockSize};${u};${h};${A};${P}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:w,dataType:p}],dispatchGroup:{x:T},programUniforms:g}),getShaderSource:B}},Jf=(e,r)=>{qf(e.inputs,r),r.blockSize===32&&e.adapterInfo.isVendor("intel")&&e.adapterInfo.isArchitecture("gen-12lp")?e.compute(Xf(e.inputs,r)):e.compute(Qf(e.inputs,r))},Yf=e=>Dt(e)}),Zf,eg,tg,rg,sg,ng,ig,og,ag,Ov=Ue(()=>{pt(),Mt(),xt(),Zf=e=>{if(!e||e.length<1)throw new Error("Too few inputs");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error("Input type must be float or float16.");if(e.length>=2){let r=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(r=e[3].dims[0]*2===e[1].dims[0]),!r)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},eg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)}; if (k < 0) { break; @@ -2031,7 +2031,7 @@ fn calculateOutputIndex(index: u32) -> u32 { ${s} value = x[offset]; } - `},eg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` + `},tg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)}; if (k < 0) { k = -k; @@ -2049,7 +2049,7 @@ fn calculateOutputIndex(index: u32) -> u32 { var k = 0; ${s} value = x[offset]; - `},tg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` + `},rg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)}; if (k < 0) { k = 0; @@ -2063,7 +2063,7 @@ fn calculateOutputIndex(index: u32) -> u32 { var k = 0; ${s} value = x[offset]; - `},rg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` + `},sg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=` k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)}; if (k < 0) { k += i32(${rt("uniforms.x_shape",i,r)}]); @@ -2077,8 +2077,8 @@ fn calculateOutputIndex(index: u32) -> u32 { var k = 0; ${s} value = x[offset]; - `},sg=(e,r,t)=>{switch(t.mode){case 0:return Z_(e,r,t.pads.length);case 1:return eg(e,r,t.pads.length);case 2:return tg(e,r,t.pads.length);case 3:return rg(e,r,t.pads.length);default:throw new Error("Invalid mode")}},ng=(e,r)=>{let t=xe.padShape(e[0].dims.slice(),r.pads),s=e[0].dims,i=xe.size(t),n=[{type:12,data:i},{type:6,data:r.pads}],o=e.length>=3&&e[2].data;r.mode===0&&n.push({type:o?e[2].dataType:1,data:r.value}),n.push(...nt(e[0].dims,t));let a=["rank"],l=d=>{let p=tt("output",e[0].dataType,t.length),u=$e("x",e[0].dataType,s.length),h=u.type.value,w=sg(p,s.length,r),_=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:r.pads.length}];return r.mode===0&&_.push({name:"constant_value",type:o?h:"f32"}),` - ${d.registerUniforms(_).declareVariables(u,p)} + `},ng=(e,r,t)=>{switch(t.mode){case 0:return eg(e,r,t.pads.length);case 1:return tg(e,r,t.pads.length);case 2:return rg(e,r,t.pads.length);case 3:return sg(e,r,t.pads.length);default:throw new Error("Invalid mode")}},ig=(e,r)=>{let t=xe.padShape(e[0].dims.slice(),r.pads),s=e[0].dims,i=xe.size(t),n=[{type:12,data:i},{type:6,data:r.pads}],o=e.length>=3&&e[2].data;r.mode===0&&n.push({type:o?e[2].dataType:1,data:r.value}),n.push(...nt(e[0].dims,t));let a=["rank"],l=d=>{let p=tt("output",e[0].dataType,t.length),u=$e("x",e[0].dataType,s.length),h=u.type.value,w=ng(p,s.length,r),f=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:r.pads.length}];return r.mode===0&&f.push({name:"constant_value",type:o?h:"f32"}),` + ${d.registerUniforms(f).declareVariables(u,p)} ${d.mainStart()} ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} @@ -2087,7 +2087,7 @@ fn calculateOutputIndex(index: u32) -> u32 { var value = ${h}(0); ${w} output[global_idx] = value; - }`};return{name:"Pad",shaderCache:{hint:`${r.mode}${o}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(t)/64)},programUniforms:n}),getShaderSource:l}},ig=(e,r)=>{if(e.length>1){let t=e[1].getBigInt64Array(),s=e.length>=3&&e[2].data?e[2].dataType===10?e[2].getUint16Array()[0]:e[2].getFloat32Array()[0]:0,i=e[0].dims.length,n=new Int32Array(2*i).fill(0);if(e.length>=4){let a=e[3].getBigInt64Array();for(let l=0;ln[Number(l)]=Number(a));let o=[];return n.forEach(a=>o.push(a)),{mode:r.mode,value:s,pads:o}}else return r},og=(e,r)=>{Y_(e.inputs);let t=ig(e.inputs,r);e.compute(ng(e.inputs,t),{inputs:[0]})}}),Ri,bc,vc,xc,Tc,ag,lg,Ec,Pc,dg,cg,Cc,ug,pg,Sc,hg,mg,fg,_g,Tv=je(()=>{ss(),pt(),yt(),vt(),Ri=e=>{if(Vt.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},bc=(e,r,t)=>{let s=r.format==="NHWC",i=e.dims.slice();s&&i.splice(1,0,i.pop());let n=Object.hasOwnProperty.call(r,"dilations"),o=r.kernelShape.slice(),a=r.strides.slice(),l=n?r.dilations.slice():[],d=r.pads.slice();va.adjustPoolAttributes(t,i,o,a,l,d);let p=va.computePoolOutputShape(t,i,a,l,o,d,r.autoPad),u=Object.assign({},r);n?Object.assign(u,{kernelShape:o,strides:a,pads:d,dilations:l,cacheKey:r.cacheKey}):Object.assign(u,{kernelShape:o,strides:a,pads:d,cacheKey:r.cacheKey});let h=p.slice();return h.push(h.splice(1,1)[0]),[u,s?h:p]},vc=(e,r)=>{let t=r.format==="NHWC",s=xe.size(e),i=xe.size(r.kernelShape),n=[{type:12,data:s},{type:12,data:i}],o=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(r.kernelShape.length<=2){let a=r.kernelShape[r.kernelShape.length-1],l=r.strides[r.strides.length-1],d=r.pads[r.pads.length/2-1],p=r.pads[r.pads.length-1],u=!!(d+p);n.push({type:12,data:a},{type:12,data:l},{type:12,data:d},{type:12,data:p}),o.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let h=!1;if(r.kernelShape.length===2){let w=r.kernelShape[r.kernelShape.length-2],_=r.strides[r.strides.length-2],P=r.pads[r.pads.length/2-2],A=r.pads[r.pads.length-2];h=!!(P+A),n.push({type:12,data:w},{type:12,data:_},{type:12,data:P},{type:12,data:A}),o.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[n,o,!0,u,h]}else{if(t)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let a=xe.computeStrides(r.kernelShape);n.push({type:12,data:a},{type:12,data:r.pads},{type:12,data:r.strides}),o.push({name:"kernelStrides",type:"u32",length:a.length},{name:"pads",type:"u32",length:r.pads.length},{name:"strides",type:"u32",length:r.strides.length});let l=r.pads.reduce((d,p)=>d+p);return[n,o,!!l,!1,!1]}},xc=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h=i.format==="NHWC",w=r.type.value,_=tt("output",r.type.tensor,s);if(i.kernelShape.length<=2){let P="",A="",v="",y=t-(h?2:1);if(p?P=` + }`};return{name:"Pad",shaderCache:{hint:`${r.mode}${o}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(t)/64)},programUniforms:n}),getShaderSource:l}},og=(e,r)=>{if(e.length>1){let t=e[1].getBigInt64Array(),s=e.length>=3&&e[2].data?e[2].dataType===10?e[2].getUint16Array()[0]:e[2].getFloat32Array()[0]:0,i=e[0].dims.length,n=new Int32Array(2*i).fill(0);if(e.length>=4){let a=e[3].getBigInt64Array();for(let l=0;ln[Number(l)]=Number(a));let o=[];return n.forEach(a=>o.push(a)),{mode:r.mode,value:s,pads:o}}else return r},ag=(e,r)=>{Zf(e.inputs);let t=og(e.inputs,r);e.compute(ig(e.inputs,t),{inputs:[0]})}}),Ri,vc,xc,Tc,Ec,lg,dg,Pc,Cc,cg,ug,Sc,pg,hg,$c,mg,_g,fg,gg,Dv=Ue(()=>{ss(),pt(),Mt(),xt(),Ri=e=>{if(Vt.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},vc=(e,r,t)=>{let s=r.format==="NHWC",i=e.dims.slice();s&&i.splice(1,0,i.pop());let n=Object.hasOwnProperty.call(r,"dilations"),o=r.kernelShape.slice(),a=r.strides.slice(),l=n?r.dilations.slice():[],d=r.pads.slice();va.adjustPoolAttributes(t,i,o,a,l,d);let p=va.computePoolOutputShape(t,i,a,l,o,d,r.autoPad),u=Object.assign({},r);n?Object.assign(u,{kernelShape:o,strides:a,pads:d,dilations:l,cacheKey:r.cacheKey}):Object.assign(u,{kernelShape:o,strides:a,pads:d,cacheKey:r.cacheKey});let h=p.slice();return h.push(h.splice(1,1)[0]),[u,s?h:p]},xc=(e,r)=>{let t=r.format==="NHWC",s=xe.size(e),i=xe.size(r.kernelShape),n=[{type:12,data:s},{type:12,data:i}],o=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(r.kernelShape.length<=2){let a=r.kernelShape[r.kernelShape.length-1],l=r.strides[r.strides.length-1],d=r.pads[r.pads.length/2-1],p=r.pads[r.pads.length-1],u=!!(d+p);n.push({type:12,data:a},{type:12,data:l},{type:12,data:d},{type:12,data:p}),o.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let h=!1;if(r.kernelShape.length===2){let w=r.kernelShape[r.kernelShape.length-2],f=r.strides[r.strides.length-2],P=r.pads[r.pads.length/2-2],A=r.pads[r.pads.length-2];h=!!(P+A),n.push({type:12,data:w},{type:12,data:f},{type:12,data:P},{type:12,data:A}),o.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[n,o,!0,u,h]}else{if(t)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let a=xe.computeStrides(r.kernelShape);n.push({type:12,data:a},{type:12,data:r.pads},{type:12,data:r.strides}),o.push({name:"kernelStrides",type:"u32",length:a.length},{name:"pads",type:"u32",length:r.pads.length},{name:"strides",type:"u32",length:r.strides.length});let l=r.pads.reduce((d,p)=>d+p);return[n,o,!!l,!1,!1]}},Tc=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h=i.format==="NHWC",w=r.type.value,f=tt("output",r.type.tensor,s);if(i.kernelShape.length<=2){let P="",A="",b="",y=t-(h?2:1);if(p?P=` for (var i: u32 = 0u; i < uniforms.kw; i++) { xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i; if (xIndices[${y}] < 0 || xIndices[${y}] @@ -2102,36 +2102,36 @@ fn calculateOutputIndex(index: u32) -> u32 { xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i; let x_val = x[${r.indicesToOffset("xIndices")}]; ${n} - }`,i.kernelShape.length===2){let S=t-(h?3:2);u?A=` + }`,i.kernelShape.length===2){let $=t-(h?3:2);u?A=` for (var j: u32 = 0u; j < uniforms.kh; j++) { - xIndices[${S}] = indices[${S}] * uniforms.sh - uniforms.phStart + j; - if (xIndices[${S}] < 0 || xIndices[${S}] >= uniforms.x_shape[${S}]) { + xIndices[${$}] = indices[${$}] * uniforms.sh - uniforms.phStart + j; + if (xIndices[${$}] < 0 || xIndices[${$}] >= uniforms.x_shape[${$}]) { pad += i32(uniforms.kw); continue; } `:A=` for (var j: u32 = 0u; j < uniforms.kh; j++) { - xIndices[${S}] = indices[${S}] * uniforms.sh - uniforms.phStart + j; - `,v=` + xIndices[${$}] = indices[${$}] * uniforms.sh - uniforms.phStart + j; + `,b=` } `}return` - ${e.registerUniforms(l).declareVariables(r,_)} + ${e.registerUniforms(l).declareVariables(r,f)} ${e.mainStart()} ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} - let indices = ${_.offsetToIndices("global_idx")}; - var xIndices = ${_.offsetToIndices("global_idx")}; + let indices = ${f.offsetToIndices("global_idx")}; + var xIndices = ${f.offsetToIndices("global_idx")}; var value = ${w}(${a}); var pad = 0; ${A} ${P} - ${v} + ${b} ${o} output[global_idx] = value; - }`}else{if(h)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let P=i.kernelShape.length,A=i.pads.length,v="";return d?v=` + }`}else{if(h)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let P=i.kernelShape.length,A=i.pads.length,b="";return d?b=` if (xIndices[j] >= uniforms.x_shape[j]) { pad++; isPad = true; @@ -2141,17 +2141,17 @@ fn calculateOutputIndex(index: u32) -> u32 { if (!isPad) { let x_val = x[${r.indicesToOffset("xIndices")}]; ${n} - }`:v=` + }`:b=` } let x_val = x[${r.indicesToOffset("xIndices")}]; ${n} `,` - ${e.registerUniforms(l).declareVariables(r,_)} + ${e.registerUniforms(l).declareVariables(r,f)} ${e.mainStart()} ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} - let indices = ${_.offsetToIndices("global_idx")}; - var xIndices = ${_.offsetToIndices("global_idx")}; + let indices = ${f.offsetToIndices("global_idx")}; + var xIndices = ${f.offsetToIndices("global_idx")}; var offsets: array; @@ -2171,14 +2171,14 @@ fn calculateOutputIndex(index: u32) -> u32 { for (var j = ${t-P}u; j < ${t}u; j++) { xIndices[j] = indices[j] * ${rt("uniforms.strides",`j - ${t-P}u`,P)} + offsets[j - ${t-P}u] - ${rt("uniforms.pads","j - 2u",A)}; - ${v} + ${b} } ${o} output[global_idx] = value; - }`}},Tc=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,ag=e=>`${Tc(e)};${e.countIncludePad}`,lg=e=>`${Tc(e)};${e.storageOrder};${e.dilations}`,Ec=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),Pc=(e,r,t,s)=>{let[i,n]=bc(r,s,t),o=$e("x",r.dataType,r.dims.length),a=o.type.value,l="value += x_val;",d="";i.countIncludePad?d+=`value /= ${a}(uniforms.kernelSize);`:d+=`value /= ${a}(i32(uniforms.kernelSize) - pad);`;let[p,u,h,w,_]=vc(n,i);p.push(...nt(r.dims,n));let P=["rank"];return{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${_}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:A=>xc(A,o,r.dims.length,n.length,i,l,d,0,u,h,w,_)}},dg=e=>{let r=e.count_include_pad!==0,t=Ec(e);if(t.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let s={countIncludePad:r,...t,cacheKey:""};return{...s,cacheKey:ag(s)}},cg=(e,r)=>{Ri(e.inputs),e.compute(Pc("AveragePool",e.inputs[0],!1,r))},Cc={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},ug=e=>{let r=e.format;return{format:r,...Cc,cacheKey:r}},pg=(e,r)=>{Ri(e.inputs),e.compute(Pc("GlobalAveragePool",e.inputs[0],!0,r))},Sc=(e,r,t,s)=>{let[i,n]=bc(r,s,t),o=` + }`}},Ec=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,lg=e=>`${Ec(e)};${e.countIncludePad}`,dg=e=>`${Ec(e)};${e.storageOrder};${e.dilations}`,Pc=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),Cc=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=$e("x",r.dataType,r.dims.length),a=o.type.value,l="value += x_val;",d="";i.countIncludePad?d+=`value /= ${a}(uniforms.kernelSize);`:d+=`value /= ${a}(i32(uniforms.kernelSize) - pad);`;let[p,u,h,w,f]=xc(n,i);p.push(...nt(r.dims,n));let P=["rank"];return{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${f}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:A=>Tc(A,o,r.dims.length,n.length,i,l,d,0,u,h,w,f)}},cg=e=>{let r=e.count_include_pad!==0,t=Pc(e);if(t.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let s={countIncludePad:r,...t,cacheKey:""};return{...s,cacheKey:lg(s)}},ug=(e,r)=>{Ri(e.inputs),e.compute(Cc("AveragePool",e.inputs[0],!1,r))},Sc={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},pg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},hg=(e,r)=>{Ri(e.inputs),e.compute(Cc("GlobalAveragePool",e.inputs[0],!0,r))},$c=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=` value = max(x_val, value); - `,a="",l=$e("x",r.dataType,r.dims.length),d=["rank"],[p,u,h,w,_]=vc(n,i);return p.push(...nt(r.dims,n)),{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${_}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:P=>xc(P,l,r.dims.length,n.length,i,o,a,r.dataType===10?-65504:-1e5,u,h,w,_)}},hg=(e,r)=>{Ri(e.inputs),e.compute(Sc("MaxPool",e.inputs[0],!1,r))},mg=e=>{let r=e.storage_order,t=e.dilations,s=Ec(e);if(r!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(s.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:r,dilations:t,...s,cacheKey:""};return{...i,cacheKey:lg(i)}},fg=e=>{let r=e.format;return{format:r,...Cc,cacheKey:r}},_g=(e,r)=>{Ri(e.inputs),e.compute(Sc("GlobalMaxPool",e.inputs[0],!0,r))}}),gg,wg,yg,Mg,Ev=je(()=>{pt(),yt(),Yt(),vt(),gg=(e,r)=>{if(e.length<2||e.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(e.length===3&&e[1].dims===e[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[0].dataType===6&&e.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(e[1].dims.length!==0&&e[1].dims.length!==1&&e[1].dims.length!==e[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(e.length>2){if(e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[1].dims.length!==e[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!e[1].dims.map((t,s)=>t===e[2].dims[s]).reduce((t,s)=>t&&s,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(r.blockSize>0){if(e[1].dims.length===0||e[1].dims.length===1&&e[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!e[1].dims.map((i,n)=>n===r.axis||i===e[0].dims[n]).reduce((i,n)=>i&&n,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(e[1].dims.length!==e[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let t=e[0].dims[r.axis],s=e[1].dims[r.axis];if(r.blockSizeMath.ceil(t/(s-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},wg=(e,r)=>{let t=xe.normalizeAxis(r.axis,e[0].dims.length),s=e[0].dataType,i=s===3,n=e[0].dims,o=e[1].dataType,a=xe.size(n),l=s===3||s===2,d=l?[Math.ceil(xe.size(e[0].dims)/4)]:e[0].dims,p=e[1].dims,u=e.length>2?e[2]:void 0,h=u?l?[Math.ceil(xe.size(u.dims)/4)]:u.dims:void 0,w=p.length===0||p.length===1&&p[0]===1,_=w===!1&&p.length===1,P=Xt(a),A=w&&(!l||P===4),v=A?P:1,y=A&&!l?P:1,S=$e("input",l?12:s,d.length,y),x=$e("scale",o,p.length),g=u?$e("zero_point",l?12:s,h.length):void 0,M=tt("output",o,n.length,v),E=[S,x];g&&E.push(g);let k=[d,p];u&&k.push(h);let B=[{type:12,data:a/v},{type:12,data:t},{type:12,data:r.blockSize},...nt(...k,n)],R=J=>{let q=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return` + `,a="",l=$e("x",r.dataType,r.dims.length),d=["rank"],[p,u,h,w,f]=xc(n,i);return p.push(...nt(r.dims,n)),{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${f}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:P=>Tc(P,l,r.dims.length,n.length,i,o,a,r.dataType===10?-65504:-1e5,u,h,w,f)}},mg=(e,r)=>{Ri(e.inputs),e.compute($c("MaxPool",e.inputs[0],!1,r))},_g=e=>{let r=e.storage_order,t=e.dilations,s=Pc(e);if(r!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(s.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:r,dilations:t,...s,cacheKey:""};return{...i,cacheKey:dg(i)}},fg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},gg=(e,r)=>{Ri(e.inputs),e.compute($c("GlobalMaxPool",e.inputs[0],!0,r))}}),wg,yg,Mg,bg,Lv=Ue(()=>{pt(),Mt(),Yt(),xt(),wg=(e,r)=>{if(e.length<2||e.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(e.length===3&&e[1].dims===e[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[0].dataType===6&&e.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(e[1].dims.length!==0&&e[1].dims.length!==1&&e[1].dims.length!==e[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(e.length>2){if(e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[1].dims.length!==e[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!e[1].dims.map((t,s)=>t===e[2].dims[s]).reduce((t,s)=>t&&s,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(r.blockSize>0){if(e[1].dims.length===0||e[1].dims.length===1&&e[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!e[1].dims.map((i,n)=>n===r.axis||i===e[0].dims[n]).reduce((i,n)=>i&&n,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(e[1].dims.length!==e[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let t=e[0].dims[r.axis],s=e[1].dims[r.axis];if(r.blockSizeMath.ceil(t/(s-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},yg=(e,r)=>{let t=xe.normalizeAxis(r.axis,e[0].dims.length),s=e[0].dataType,i=s===3,n=e[0].dims,o=e[1].dataType,a=xe.size(n),l=s===3||s===2,d=l?[Math.ceil(xe.size(e[0].dims)/4)]:e[0].dims,p=e[1].dims,u=e.length>2?e[2]:void 0,h=u?l?[Math.ceil(xe.size(u.dims)/4)]:u.dims:void 0,w=p.length===0||p.length===1&&p[0]===1,f=w===!1&&p.length===1,P=Xt(a),A=w&&(!l||P===4),b=A?P:1,y=A&&!l?P:1,$=$e("input",l?12:s,d.length,y),T=$e("scale",o,p.length),g=u?$e("zero_point",l?12:s,h.length):void 0,M=tt("output",o,n.length,b),E=[$,T];g&&E.push(g);let k=[d,p];u&&k.push(h);let B=[{type:12,data:a/b},{type:12,data:t},{type:12,data:r.blockSize},...nt(...k,n)],N=J=>{let q=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return` ${J.registerUniforms(q).declareVariables(...E,M)} ${J.mainStart()} ${J.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} @@ -2186,42 +2186,42 @@ fn calculateOutputIndex(index: u32) -> u32 { // Set input x ${l?` - let input = ${S.getByOffset("global_idx / 4")}; + let input = ${$.getByOffset("global_idx / 4")}; let x_vec = ${i?"unpack4xI8(input)":"unpack4xU8(input)"}; - let x_value = ${v===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${S.getByOffset("global_idx")};`}; + let x_value = ${b===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${$.getByOffset("global_idx")};`}; // Set scale input - ${w?`let scale_value= ${x.getByOffset("0")}`:_?` + ${w?`let scale_value= ${T.getByOffset("0")}`:f?` let scale_index = ${M.indicesGet("output_indices","uniforms.axis")}; - let scale_value= ${x.getByOffset("scale_index")};`:` - var scale_indices: ${x.type.indices} = output_indices; - let index = ${x.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size; - ${x.indicesSet("scale_indices","uniforms.axis","index")}; - let scale_value= ${x.getByIndices("scale_indices")};`}; + let scale_value= ${T.getByOffset("scale_index")};`:` + var scale_indices: ${T.type.indices} = output_indices; + let index = ${T.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size; + ${T.indicesSet("scale_indices","uniforms.axis","index")}; + let scale_value= ${T.getByIndices("scale_indices")};`}; // Set zero-point input ${g?w?l?` let zero_point_input = ${g.getByOffset("0")}; let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; - let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${g.getByOffset("0")}`:_?l?` + let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${g.getByOffset("0")}`:f?l?` let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")}; let zero_point_input = ${g.getByOffset("zero_point_index / 4")}; let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; let zero_point_value = zero_point_vec[zero_point_index % 4]`:` let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")}; let zero_point_value = ${g.getByOffset("zero_point_index")};`:l?` - let zero_point_offset = ${x.indicesToOffset("scale_indices")}; + let zero_point_offset = ${T.indicesToOffset("scale_indices")}; let zero_point_input = ${g.getByOffset("zero_point_offset / 4")}; let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"}; - let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${g.getByIndices("scale_indices")};`:`let zero_point_value = ${l?i?"i32":"u32":S.type.value}(0);`}; + let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${g.getByIndices("scale_indices")};`:`let zero_point_value = ${l?i?"i32":"u32":$.type.value}(0);`}; // Compute and write output ${M.setByOffset("global_idx",`${M.type.value}(x_value - zero_point_value) * scale_value`)}; - }`};return{name:"DequantizeLinear",shaderCache:{hint:r.cacheKey,inputDependencies:g?["rank","rank","rank"]:["rank","rank"]},getShaderSource:R,getRunData:()=>({outputs:[{dims:n,dataType:o}],dispatchGroup:{x:Math.ceil(a/v/64),y:1,z:1},programUniforms:B})}},yg=(e,r)=>{gg(e.inputs,r),e.compute(wg(e.inputs,r))},Mg=e=>Dt({axis:e.axis,blockSize:e.blockSize})}),bg,vg,xg,Pv=je(()=>{ss(),pt(),vt(),bg=(e,r,t)=>{let s=e===r,i=er&&t>0;if(s||i||n)throw new Error("Range these inputs' contents are invalid.")},vg=(e,r,t,s)=>{let i=Math.abs(Math.ceil((r-e)/t)),n=[i],o=i,a=[{type:12,data:o},{type:s,data:e},{type:s,data:t},...nt(n)],l=d=>{let p=tt("output",s,n.length),u=p.type.value,h=[{name:"outputSize",type:"u32"},{name:"start",type:u},{name:"delta",type:u}];return` + }`};return{name:"DequantizeLinear",shaderCache:{hint:r.cacheKey,inputDependencies:g?["rank","rank","rank"]:["rank","rank"]},getShaderSource:N,getRunData:()=>({outputs:[{dims:n,dataType:o}],dispatchGroup:{x:Math.ceil(a/b/64),y:1,z:1},programUniforms:B})}},Mg=(e,r)=>{wg(e.inputs,r),e.compute(yg(e.inputs,r))},bg=e=>Dt({axis:e.axis,blockSize:e.blockSize})}),vg,xg,Tg,zv=Ue(()=>{ss(),pt(),xt(),vg=(e,r,t)=>{let s=e===r,i=er&&t>0;if(s||i||n)throw new Error("Range these inputs' contents are invalid.")},xg=(e,r,t,s)=>{let i=Math.abs(Math.ceil((r-e)/t)),n=[i],o=i,a=[{type:12,data:o},{type:s,data:e},{type:s,data:t},...nt(n)],l=d=>{let p=tt("output",s,n.length),u=p.type.value,h=[{name:"outputSize",type:"u32"},{name:"start",type:u},{name:"delta",type:u}];return` ${d.registerUniforms(h).declareVariables(p)} ${d.mainStart()} ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} output[global_idx] = uniforms.start + ${u}(global_idx) * uniforms.delta; - }`};return{name:"Range",shaderCache:{hint:`${s}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:n,dataType:s}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a})}},xg=e=>{let r=0,t=0,s=0;e.inputs[0].dataType===6?(r=e.inputs[0].getInt32Array()[0],t=e.inputs[1].getInt32Array()[0],s=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(r=e.inputs[0].getFloat32Array()[0],t=e.inputs[1].getFloat32Array()[0],s=e.inputs[2].getFloat32Array()[0]),Vt.webgpu.validateInputContent&&bg(r,t,s),e.compute(vg(r,t,s,e.inputs[0].dataType),{inputs:[]})}}),Tg,Eg,Pg,Cg,Cv=je(()=>{pt(),yt(),Yt(),vt(),Tg=(e,r,t,s)=>{if(e!=="none"&&s!=="i32"&&s!=="u32"&&s!=="f32")throw new Error(`Input ${s} is not supported with reduction ${e}.`);let i=`{ + }`};return{name:"Range",shaderCache:{hint:`${s}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:n,dataType:s}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a})}},Tg=e=>{let r=0,t=0,s=0;e.inputs[0].dataType===6?(r=e.inputs[0].getInt32Array()[0],t=e.inputs[1].getInt32Array()[0],s=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(r=e.inputs[0].getFloat32Array()[0],t=e.inputs[1].getFloat32Array()[0],s=e.inputs[2].getFloat32Array()[0]),Vt.webgpu.validateInputContent&&vg(r,t,s),e.compute(xg(r,t,s,e.inputs[0].dataType),{inputs:[]})}}),Eg,Pg,Cg,Sg,Bv=Ue(()=>{pt(),Mt(),Yt(),xt(),Eg=(e,r,t,s)=>{if(e!=="none"&&s!=="i32"&&s!=="u32"&&s!=="f32")throw new Error(`Input ${s} is not supported with reduction ${e}.`);let i=`{ var oldValue = 0; loop { let newValueF32 =`,n=`; @@ -2234,8 +2234,8 @@ fn calculateOutputIndex(index: u32) -> u32 { } }`;switch(e){case"none":return`${r}=${t};`;case"add":return s==="i32"||s==="u32"?`atomicAdd(&${r}, bitcast<${s}>(${t}));`:` ${i}bitcast<${s}>(oldValue) + (${t})${n}`;case"max":return s==="i32"||s==="u32"?`atomicMax(&${r}, bitcast<${s}>(${t}));`:` - ${i}max(bitcast(oldValue), (${t}))${n}`;case"min":return s==="i32"||s==="u32"?`atomicMin(&${r}, bitcast<${s}>(${t}));`:`${i}min(bitcast<${s}>(oldValue), (${t}))${n}`;case"mul":return`${i}(bitcast<${s}>(oldValue) * (${t}))${n}`;default:throw new Error(`Reduction ${e} is not supported.`)}},Eg=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t,n=1,o=Math.ceil(xe.size(s)/n),a=s[s.length-1],l=xe.sizeFromDimension(t,a),d=[{type:12,data:o},{type:12,data:a},{type:12,data:l},...nt(e[1].dims,e[2].dims,i)],p=u=>{let h=$e("indices",e[1].dataType,e[1].dims.length),w=$e("updates",e[2].dataType,e[2].dims.length,n),_=r.reduction!=="none"&&r.reduction!==""?Lp("output",e[0].dataType,i.length):tt("output",e[0].dataType,i.length,n);return` - ${u.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(h,w,_)} + ${i}max(bitcast(oldValue), (${t}))${n}`;case"min":return s==="i32"||s==="u32"?`atomicMin(&${r}, bitcast<${s}>(${t}));`:`${i}min(bitcast<${s}>(oldValue), (${t}))${n}`;case"mul":return`${i}(bitcast<${s}>(oldValue) * (${t}))${n}`;default:throw new Error(`Reduction ${e} is not supported.`)}},Pg=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t,n=1,o=Math.ceil(xe.size(s)/n),a=s[s.length-1],l=xe.sizeFromDimension(t,a),d=[{type:12,data:o},{type:12,data:a},{type:12,data:l},...nt(e[1].dims,e[2].dims,i)],p=u=>{let h=$e("indices",e[1].dataType,e[1].dims.length),w=$e("updates",e[2].dataType,e[2].dims.length,n),f=r.reduction!=="none"&&r.reduction!==""?zp("output",e[0].dataType,i.length):tt("output",e[0].dataType,i.length,n);return` + ${u.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(h,w,f)} ${u.mainStart()} ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} var hasDuplicates = false; @@ -2288,11 +2288,11 @@ fn calculateOutputIndex(index: u32) -> u32 { for (var i = 0u; i < uniforms.num_updates_elements; i++) { let value = updates[uniforms.num_updates_elements * global_idx + i]; - ${Tg(r.reduction,"output[data_offset + i]","value",_.type.value)} + ${Eg(r.reduction,"output[data_offset + i]","value",f.type.value)} } - }`};return{name:"ScatterND",shaderCache:{hint:`${r.cacheKey}_${r.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:d}),getShaderSource:p}},Pg=e=>Dt({reduction:e.reduction}),Cg=(e,r)=>{e.compute(Eg(e.inputs,r),{inputs:[e.inputs[1],e.inputs[2]],outputs:[]})}}),Sg,$g,kg,$c,Ig,Ag,Fg,Og,Dg,Lg,zg,Bg,kc,Rg,Ng,jg,Ug,Vg,Wg,Gg,Sv=je(()=>{pt(),yt(),Yt(),vt(),Sg=(e,r)=>{if(e.every(t=>t>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(r.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and - one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(r.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},$g=(e,r,t)=>{r.every(i=>i>=0&&i{throw new Error("Resize requires axes input values to be positive and less than rank")}));let s=new Array(t).fill(1);return r.forEach((i,n)=>s[i]=e[n]),s},kg=(e,r,t,s,i,n)=>{let[o,a,l]=t>10?[1,2,3]:[-1,e.length>1?1:-1,-1],d=e[0].dims.length;if(o>0&&e.length>o&&e[o].dims.length>0)e[o].getFloat32Array().forEach(p=>n.push(p));else if(r.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(a>0&&e.length>a&&e[a].dims.length===1&&e[a].dims[0]>0){if(e[a].getFloat32Array().forEach(p=>s.push(p)),s.length!==0&&s.length!==d&&t>=18&&s.length!==r.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");Sg(s,r),r.axes.length>0&&$g(s,r.axes,d).forEach((p,u)=>s[u]=p)}if(l>0&&e.length>l&&e[l].dims.length===1&&e[l].dims[0]>0&&(e[l].getBigInt64Array().forEach(p=>i.push(Number(p))),i.length!==0&&i.length!==d&&t>=18&&i.length!==r.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(r.axes.length>0){if(s.length!==0&&s.length!==r.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==0&&i.length!==r.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof s<"u"&&typeof i<"u"&&s.length>0&&i.length>d)throw new Error("Resize requires only of scales or sizes to be specified")},$c=(e,r,t,s)=>` + }`};return{name:"ScatterND",shaderCache:{hint:`${r.cacheKey}_${r.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:d}),getShaderSource:p}},Cg=e=>Dt({reduction:e.reduction}),Sg=(e,r)=>{e.compute(Pg(e.inputs,r),{inputs:[e.inputs[1],e.inputs[2]],outputs:[]})}}),$g,kg,Ig,kc,Ag,Fg,Og,Dg,Lg,zg,Bg,Rg,Ic,Ng,jg,Ug,Vg,Wg,Gg,Kg,Rv=Ue(()=>{pt(),Mt(),Yt(),xt(),$g=(e,r)=>{if(e.every(t=>t>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(r.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and + one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(r.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},kg=(e,r,t)=>{r.every(i=>i>=0&&i{throw new Error("Resize requires axes input values to be positive and less than rank")}));let s=new Array(t).fill(1);return r.forEach((i,n)=>s[i]=e[n]),s},Ig=(e,r,t,s,i,n)=>{let[o,a,l]=t>10?[1,2,3]:[-1,e.length>1?1:-1,-1],d=e[0].dims.length;if(o>0&&e.length>o&&e[o].dims.length>0)e[o].getFloat32Array().forEach(p=>n.push(p));else if(r.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(a>0&&e.length>a&&e[a].dims.length===1&&e[a].dims[0]>0){if(e[a].getFloat32Array().forEach(p=>s.push(p)),s.length!==0&&s.length!==d&&t>=18&&s.length!==r.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");$g(s,r),r.axes.length>0&&kg(s,r.axes,d).forEach((p,u)=>s[u]=p)}if(l>0&&e.length>l&&e[l].dims.length===1&&e[l].dims[0]>0&&(e[l].getBigInt64Array().forEach(p=>i.push(Number(p))),i.length!==0&&i.length!==d&&t>=18&&i.length!==r.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(r.axes.length>0){if(s.length!==0&&s.length!==r.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==0&&i.length!==r.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof s<"u"&&typeof i<"u"&&s.length>0&&i.length>d)throw new Error("Resize requires only of scales or sizes to be specified")},kc=(e,r,t,s)=>` // The whole part and the fractional part are calculated separately due to inaccuracy of floating // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an // offset-by-one error later in floor(). @@ -2300,12 +2300,12 @@ fn calculateOutputIndex(index: u32) -> u32 { let whole = ${s}(big / (${t})); let fract = ${s}(big % (${t})) / ${s}(${t}); return whole + fract; -`,Ig=(e,r)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, +`,Ag=(e,r)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${r} { `+(()=>{switch(e){case"asymmetric":return` if (xScale < 1.0 || floor(xScale) != xScale) { return ${r}(xResized) / ${r}(xScale); } else { - ${$c("xResized","lengthOriginal","lengthResized",r)} + ${kc("xResized","lengthOriginal","lengthResized",r)} } `;case"pytorch_half_pixel":return`if (lengthResized > 1) { return (${r}(xResized) + 0.5) / ${r}(xScale) - 0.5; @@ -2314,7 +2314,7 @@ fn calculateOutputIndex(index: u32) -> u32 { }`;case"tf_half_pixel_for_nn":return`return (${r}(xResized) + 0.5) / ${r}(xScale);`;case"align_corners":return`if (lengthResized == 1) { return 0.0; } else { - ${$c("xResized","lengthOriginal - 1","lengthResized - 1",r)} + ${kc("xResized","lengthOriginal - 1","lengthResized - 1",r)} }`;case"tf_crop_and_resize":return`if (lengthResized > 1) { return ${r}(roiStart) * ${r}(lengthOriginal - 1) + (${r}(xResized) * ${r}(roiEnd - roiStart) * ${r}(lengthOriginal - 1)) / @@ -2325,7 +2325,7 @@ fn calculateOutputIndex(index: u32) -> u32 { const adjustment = ${r}(lengthResized) / outputWidth; const center = ${r}(lengthOriginal) / 2; const offset = center * (1 - adjustment); - return offset + ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;case"half_pixel":return`return ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",Ag=(e,r,t)=>`fn getNearestPixelFromOriginal(xOriginal: ${t}, isDownSample: bool) -> ${t} {`+(()=>{switch(e){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";case"simple":default:if(r<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Fg=(e,r,t)=>{let s=new Array(t).fill(0).concat(new Array(t).fill(1)),i=e.length===0?s:e.slice();return r.length>0?(r.forEach((n,o)=>{s[n]=i[o],s[o+t]=i[r.length+o]}),s):i},Og=(e,r,t,s)=>{let i=[];if(t.length>0)if(s.length>0){if(e.forEach(n=>i.push(n)),Math.max(...s)>e.length)throw new Error("axes is out of bound");s.forEach((n,o)=>i[n]=t[o])}else t.forEach(n=>i.push(n));else{if(r.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((n,o)=>Math.round(n*r[o]))}return i},Dg=(e,r,t)=>{let s=(()=>{switch(t.keepAspectRatioPolicy){case"not_larger":return t.axes.length>0?Math.min(...t.axes.map(n=>r[n]),Number.MAX_VALUE):Math.min(...r,Number.MAX_VALUE);case"not_smaller":return t.axes.length>0?Math.max(...t.axes.map(n=>r[n]),Number.MIN_VALUE):Math.max(...r,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${t.keepAspectRatioPolicy} is not supported`)}})();r.fill(1,0,r.length);let i=e.slice();return t.axes.length>0?(t.axes.forEach(n=>r[n]=s),t.axes.forEach(n=>i[n]=Math.round(e[n]*r[n]))):(r.fill(s,0,r.length),i.forEach((n,o)=>i[o]=Math.round(n*r[o]))),i},Lg=(e,r,t,s,i)=>` + return offset + ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;case"half_pixel":return`return ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",Fg=(e,r,t)=>`fn getNearestPixelFromOriginal(xOriginal: ${t}, isDownSample: bool) -> ${t} {`+(()=>{switch(e){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";case"simple":default:if(r<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Og=(e,r,t)=>{let s=new Array(t).fill(0).concat(new Array(t).fill(1)),i=e.length===0?s:e.slice();return r.length>0?(r.forEach((n,o)=>{s[n]=i[o],s[o+t]=i[r.length+o]}),s):i},Dg=(e,r,t,s)=>{let i=[];if(t.length>0)if(s.length>0){if(e.forEach(n=>i.push(n)),Math.max(...s)>e.length)throw new Error("axes is out of bound");s.forEach((n,o)=>i[n]=t[o])}else t.forEach(n=>i.push(n));else{if(r.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((n,o)=>Math.round(n*r[o]))}return i},Lg=(e,r,t)=>{let s=(()=>{switch(t.keepAspectRatioPolicy){case"not_larger":return t.axes.length>0?Math.min(...t.axes.map(n=>r[n]),Number.MAX_VALUE):Math.min(...r,Number.MAX_VALUE);case"not_smaller":return t.axes.length>0?Math.max(...t.axes.map(n=>r[n]),Number.MIN_VALUE):Math.max(...r,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${t.keepAspectRatioPolicy} is not supported`)}})();r.fill(1,0,r.length);let i=e.slice();return t.axes.length>0?(t.axes.forEach(n=>r[n]=s),t.axes.forEach(n=>i[n]=Math.round(e[n]*r[n]))):(r.fill(s,0,r.length),i.forEach((n,o)=>i[o]=Math.round(n*r[o]))),i},zg=(e,r,t,s,i)=>` fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${t.length}> { var original_indices: array<${e.type.value}, ${t.length}>; for (var i:u32 = 0; i < ${t.length}; i++) { @@ -2343,7 +2343,7 @@ fn calculateOutputIndex(index: u32) -> u32 { } } return original_indices; - }`,zg=(e,r,t,s,i,n,o)=>` + }`,Bg=(e,r,t,s,i,n,o)=>` fn calculateInputIndicesFromOutputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} { var input_indices: ${e.type.indices}; for (var i:u32 = 0; i < ${s.length}; i++) { @@ -2374,7 +2374,7 @@ fn calculateOutputIndex(index: u32) -> u32 { ${e.indicesSet("input_indices","i","input_index")} } return input_indices; - }`,Bg=(e,r)=>` + }`,Rg=(e,r)=>` fn checkInputIndices(input_indices: ${e.type.indices}) -> bool { for (var i:u32 = 0; i < ${r.length}; i++) { var input_index = ${e.indicesGet("input_indices","i")}; @@ -2383,15 +2383,15 @@ fn calculateOutputIndex(index: u32) -> u32 { } } return true; - }`,kc=(e,r,t,s)=>e.rank>s?` + }`,Ic=(e,r,t,s)=>e.rank>s?` ${e.indicesSet("input_indices",r,"channel")}; ${e.indicesSet("input_indices",t,"batch")}; -`:"",Rg=(e,r,t,s,i)=>{let[n,o,a,l]=t.length===2?[-1,0,1,-1]:[0,2,3,1],d=e.type.value;return` +`:"",Ng=(e,r,t,s,i)=>{let[n,o,a,l]=t.length===2?[-1,0,1,-1]:[0,2,3,1],d=e.type.value;return` fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${d} { var input_indices: ${e.type.indices}; ${e.indicesSet("input_indices",o,`max(0, min(row, ${t[o]} - 1))`)}; ${e.indicesSet("input_indices",a,`max(0, min(col, ${t[a]} - 1))`)}; - ${kc(e,l,n,2)} + ${Ic(e,l,n,2)} return ${e.getByIndices("input_indices")}; } @@ -2427,7 +2427,7 @@ fn calculateOutputIndex(index: u32) -> u32 { dy2 = 0.5; } return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1); - }`},Ng=(e,r,t,s,i,n,o,a,l,d)=>{let p=t.length===2,[u,h]=p?[0,1]:[2,3],w=e.type.value,_=P=>{let A=P===u?"row":"col";return` + }`},jg=(e,r,t,s,i,n,o,a,l,d)=>{let p=t.length===2,[u,h]=p?[0,1]:[2,3],w=e.type.value,f=P=>{let A=P===u?"row":"col";return` fn ${A}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${r.type.indices}) -> ${w} { var output_index = ${r.indicesGet("output_indices",P)}; var originalIdx: ${w} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[P]}, @@ -2451,8 +2451,8 @@ fn calculateOutputIndex(index: u32) -> u32 { } return cubicInterpolation1D(data, coefs); }`};return` - ${_(u)}; - ${_(h)}; + ${f(u)}; + ${f(h)}; fn getCubicInterpolationCoefs(s: ${w}) -> array<${w}, 4> { var absS = abs(s); var coeffs: array<${w}, 4> = array<${w}, 4>(0.0, 0.0, 0.0, 0.0); @@ -2475,13 +2475,13 @@ fn calculateOutputIndex(index: u32) -> u32 { var input_indices: ${e.type.indices} = output_indices; return colCubicInterpolation(input_indices, output_indices); } - `},jg=(e,r,t,s,i)=>{let[n,o,a,l,d]=t.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],p=e.type.value;return` + `},Ug=(e,r,t,s,i)=>{let[n,o,a,l,d]=t.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],p=e.type.value;return` fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${p} { var input_indices: ${e.type.indices}; ${e.indicesSet("input_indices",o,`max(0, min(depth, ${t[o]} - 1))`)}; ${e.indicesSet("input_indices",a,`max(0, min(height, ${t[a]} - 1))`)}; ${e.indicesSet("input_indices",l,`max(0, min(width, ${t[l]} - 1))`)}; - ${kc(e,d,n,3)} + ${Ic(e,d,n,3)} return ${e.getByIndices("input_indices")}; } @@ -2534,18 +2534,18 @@ fn calculateOutputIndex(index: u32) -> u32 { } return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 + x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1); - }`},Ug=(e,r,t,s,i,n)=>{let o=e.dims,a=Fg(n,r.axes,o.length),l=Og(o,s,i,r.axes),d=s.slice();s.length===0&&(d=o.map((y,S)=>y===0?1:l[S]/y),r.keepAspectRatioPolicy!=="stretch"&&(l=Dg(o,d,r)));let p=tt("output",e.dataType,l.length),u=$e("input",e.dataType,o.length),h=xe.size(l),w=o.length===l.length&&o.every((y,S)=>y===l[S]),_=r.coordinateTransformMode==="tf_crop_and_resize",P=r.extrapolationValue,A=u.type.value,v=y=>` + }`},Vg=(e,r,t,s,i,n)=>{let o=e.dims,a=Og(n,r.axes,o.length),l=Dg(o,s,i,r.axes),d=s.slice();s.length===0&&(d=o.map((y,$)=>y===0?1:l[$]/y),r.keepAspectRatioPolicy!=="stretch"&&(l=Lg(o,d,r)));let p=tt("output",e.dataType,l.length),u=$e("input",e.dataType,o.length),h=xe.size(l),w=o.length===l.length&&o.every((y,$)=>y===l[$]),f=r.coordinateTransformMode==="tf_crop_and_resize",P=r.extrapolationValue,A=u.type.value,b=y=>` ${w?"":` - ${Ig(r.coordinateTransformMode,A)}; + ${Ag(r.coordinateTransformMode,A)}; ${(()=>{switch(r.mode){case"nearest":return` - ${Bg(u,o)}; - ${Ag(r.nearestMode,t,A)}; - ${zg(u,p,o,l,d.length,a.length,_)}; + ${Rg(u,o)}; + ${Fg(r.nearestMode,t,A)}; + ${Bg(u,p,o,l,d.length,a.length,f)}; `;case"linear":return` - ${Lg(p,o,l,d.length,a.length)}; - ${(()=>{if(o.length===2||o.length===4)return`${Rg(u,p,o,_,P)}`;if(o.length===3||o.length===5)return`${jg(u,p,o,_,P)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; + ${zg(p,o,l,d.length,a.length)}; + ${(()=>{if(o.length===2||o.length===4)return`${Ng(u,p,o,f,P)}`;if(o.length===3||o.length===5)return`${Ug(u,p,o,f,P)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; `;case"cubic":return` - ${(()=>{if(o.length===2||o.length===4)return`${Ng(u,p,o,l,d,a,r.cubicCoeffA,_,r.extrapolationValue,r.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; + ${(()=>{if(o.length===2||o.length===4)return`${jg(u,p,o,l,d,a,r.cubicCoeffA,f,r.extrapolationValue,r.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; `;default:throw Error("Invalid resize mode")}})()}; `} ${y.registerUniform("output_size","u32").registerUniform("scales","f32",d.length).registerUniform("roi","f32",a.length).declareVariables(u,p)} @@ -2561,11 +2561,11 @@ fn calculateOutputIndex(index: u32) -> u32 { output[global_idx] = ${r.extrapolationValue}; }`;case"linear":return`output[global_idx] = ${o.length===2||o.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${r.mode}`)}})()}; `} - }`;return{name:"Resize",shaderCache:{hint:`${r.cacheKey}|${t}|${d.length>0?r.mode==="cubic"?d:d.length:""}|${i.length>0?i:""}|${a.length>0?a:""}|${w}|${r.mode==="nearest"?o.length:o}`,inputDependencies:["rank"]},getShaderSource:v,getRunData:()=>({outputs:[{dims:l,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:[{type:12,data:h},{type:1,data:d},{type:1,data:a},...nt(o,l)]})}},Vg=e=>{let r=e.customDataBuffer;return new Uint32Array(r,r.byteOffset,1)[0]},Wg=(e,r)=>{let t=[],s=[],i=[],n=Vg(e);if(r.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");kg(e.inputs,r,n,t,s,i),e.compute(Ug(e.inputs[0],r,n,t,s,i),{inputs:[0]})},Gg=e=>{let r=e.antialias,t=e.axes,s=e.coordinateTransformMode,i=e.cubicCoeffA,n=e.excludeOutside!==0,o=e.extrapolationValue,a=e.keepAspectRatioPolicy,l=e.mode,d=e.nearestMode===""?"simple":e.nearestMode;return Dt({antialias:r,axes:t,coordinateTransformMode:s,cubicCoeffA:i,excludeOutside:n,extrapolationValue:o,keepAspectRatioPolicy:a,mode:l,nearestMode:d})}}),Kg,Hg,qg,$v=je(()=>{pt(),yt(),Yt(),vt(),Kg=(e,r)=>{let[t,s,i,n]=e,{numHeads:o,rotaryEmbeddingDim:a}=r;if(t.dims.length!==3&&t.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${t.dims.length}`);if(!xe.areEqual(s.dims,[])&&!xe.areEqual(s.dims,[1])&&s.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${s.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(n.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${n.dims.length}`);if(!xe.areEqual(i.dims,n.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(a>0&&o===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let l=t.dims[0],d=t.dims[t.dims.length-2],p=i.dims[0],u=xe.sizeFromDimension(t.dims,1)/d,h=a===0?i.dims[1]*2:u/o;if(a>h)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(s.dims.length===2){if(l!==s.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${s.dims[0]}`);if(d!==s.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${s.dims[1]}`)}if(h/2!==i.dims[1]&&a/2!==i.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(d>p)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},Hg=(e,r)=>{let{interleaved:t,numHeads:s,rotaryEmbeddingDim:i,scale:n}=r,o=e[0].dims[0],a=xe.sizeFromDimension(e[0].dims,1),l=e[0].dims[e[0].dims.length-2],d=a/l,p=e[2].dims[1],u=i===0?p*2:d/s,h=new Array(o,l,d/u,u-p),w=xe.computeStrides(h),_=[{type:1,data:n},{type:12,data:h},{type:12,data:w},...e[0].dims.length===3?new Array({type:12,data:[a,d,u,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[a,u,l*u,1]}):[],...nt(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],P=A=>{let v=$e("input",e[0].dataType,e[0].dims.length),y=$e("position_ids",e[1].dataType,e[1].dims.length),S=$e("cos_cache",e[2].dataType,e[2].dims.length),x=$e("sin_cache",e[3].dataType,e[3].dims.length),g=tt("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:h.length},{name:"global_strides",type:"u32",length:w.length},{name:"input_output_strides",type:"u32",length:w.length}]),` - ${A.declareVariables(v,y,S,x,g)} + }`;return{name:"Resize",shaderCache:{hint:`${r.cacheKey}|${t}|${d.length>0?r.mode==="cubic"?d:d.length:""}|${i.length>0?i:""}|${a.length>0?a:""}|${w}|${r.mode==="nearest"?o.length:o}`,inputDependencies:["rank"]},getShaderSource:b,getRunData:()=>({outputs:[{dims:l,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:[{type:12,data:h},{type:1,data:d},{type:1,data:a},...nt(o,l)]})}},Wg=e=>{let r=e.customDataBuffer;return new Uint32Array(r,r.byteOffset,1)[0]},Gg=(e,r)=>{let t=[],s=[],i=[],n=Wg(e);if(r.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");Ig(e.inputs,r,n,t,s,i),e.compute(Vg(e.inputs[0],r,n,t,s,i),{inputs:[0]})},Kg=e=>{let r=e.antialias,t=e.axes,s=e.coordinateTransformMode,i=e.cubicCoeffA,n=e.excludeOutside!==0,o=e.extrapolationValue,a=e.keepAspectRatioPolicy,l=e.mode,d=e.nearestMode===""?"simple":e.nearestMode;return Dt({antialias:r,axes:t,coordinateTransformMode:s,cubicCoeffA:i,excludeOutside:n,extrapolationValue:o,keepAspectRatioPolicy:a,mode:l,nearestMode:d})}}),Hg,qg,Qg,Nv=Ue(()=>{pt(),Mt(),Yt(),xt(),Hg=(e,r)=>{let[t,s,i,n]=e,{numHeads:o,rotaryEmbeddingDim:a}=r;if(t.dims.length!==3&&t.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${t.dims.length}`);if(!xe.areEqual(s.dims,[])&&!xe.areEqual(s.dims,[1])&&s.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${s.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(n.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${n.dims.length}`);if(!xe.areEqual(i.dims,n.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(a>0&&o===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let l=t.dims[0],d=t.dims[t.dims.length-2],p=i.dims[0],u=xe.sizeFromDimension(t.dims,1)/d,h=a===0?i.dims[1]*2:u/o;if(a>h)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(s.dims.length===2){if(l!==s.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${s.dims[0]}`);if(d!==s.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${s.dims[1]}`)}if(h/2!==i.dims[1]&&a/2!==i.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(d>p)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},qg=(e,r)=>{let{interleaved:t,numHeads:s,rotaryEmbeddingDim:i,scale:n}=r,o=e[0].dims[0],a=xe.sizeFromDimension(e[0].dims,1),l=e[0].dims[e[0].dims.length-2],d=a/l,p=e[2].dims[1],u=i===0?p*2:d/s,h=new Array(o,l,d/u,u-p),w=xe.computeStrides(h),f=[{type:1,data:n},{type:12,data:h},{type:12,data:w},...e[0].dims.length===3?new Array({type:12,data:[a,d,u,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[a,u,l*u,1]}):[],...nt(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],P=A=>{let b=$e("input",e[0].dataType,e[0].dims.length),y=$e("position_ids",e[1].dataType,e[1].dims.length),$=$e("cos_cache",e[2].dataType,e[2].dims.length),T=$e("sin_cache",e[3].dataType,e[3].dims.length),g=tt("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:h.length},{name:"global_strides",type:"u32",length:w.length},{name:"input_output_strides",type:"u32",length:w.length}]),` + ${A.declareVariables(b,y,$,T,g)} ${A.mainStart(jn)} - let half_rotary_emb_dim = uniforms.${S.name}_shape[1]; + let half_rotary_emb_dim = uniforms.${$.name}_shape[1]; let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape; let size = uniforms.global_shape[0] * uniforms.global_strides[0]; ${A.guardAgainstOutOfBoundsWorkgroupSizes("size")} @@ -2577,17 +2577,17 @@ fn calculateOutputIndex(index: u32) -> u32 { u32(${y.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0); let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${t}); let j = i + select(half_rotary_emb_dim, 1, ${t}); - let re = ${v.getByOffset("i")} * ${S.get("position_id","bsnh[3]")} - - ${v.getByOffset("j")} * ${x.get("position_id","bsnh[3]")}; + let re = ${b.getByOffset("i")} * ${$.get("position_id","bsnh[3]")} - + ${b.getByOffset("j")} * ${T.get("position_id","bsnh[3]")}; ${g.setByOffset("i","re")} - let im = ${v.getByOffset("i")} * ${x.get("position_id","bsnh[3]")} + - ${v.getByOffset("j")} * ${S.get("position_id","bsnh[3]")}; + let im = ${b.getByOffset("i")} * ${T.get("position_id","bsnh[3]")} + + ${b.getByOffset("j")} * ${$.get("position_id","bsnh[3]")}; ${g.setByOffset("j","im")} } else { let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim; - ${g.setByOffset("k",v.getByOffset("k"))} + ${g.setByOffset("k",b.getByOffset("k"))} } - }`};return{name:"RotaryEmbedding",shaderCache:{hint:Dt({interleaved:t}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:P,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(h)/jn)},programUniforms:_})}},qg=(e,r)=>{Kg(e.inputs,r),e.compute(Hg(e.inputs,r))}}),Qg,Xg,Jg,kv=je(()=>{pt(),yt(),vt(),Qg=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let r=e[0],t=e[1],s=e[2];if(r.dataType!==t.dataType||r.dataType!==s.dataType)throw new Error("All inputs must have the same data type");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Input must be 2D or 3D");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=r.dims[r.dims.length-1],n=r.dims[r.dims.length-2];if(t.dims[t.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(t.dims[t.dims.length-2]!==n)throw new Error("Skip must have the same sequence length as input");if(s.dims.length!==1)throw new Error("Gamma must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let o=e[3];if(o.dims.length!==1)throw new Error("Beta must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let o=e[4];if(o.dims.length!==1)throw new Error("Bias must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Xg=(e,r,t,s)=>{let i=r.simplified,n=e[0].dims,o=xe.size(n),a=n,l=o,d=n.slice(-1)[0],p=s?n.slice(0,-1).concat(1):[],u=!i&&e.length>3,h=e.length>4,w=s&&t>1,_=s&&t>2,P=t>3,A=64,v=Xt(d),y=[{type:12,data:l},{type:12,data:v},{type:12,data:d},{type:1,data:r.epsilon}],S=g=>{let M=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],E=[$e("x",e[0].dataType,e[0].dims,v),$e("skip",e[1].dataType,e[1].dims,v),$e("gamma",e[2].dataType,e[2].dims,v)];u&&E.push($e("beta",e[3].dataType,e[3].dims,v)),h&&E.push($e("bias",e[4].dataType,e[4].dims,v)),E.push(tt("output",e[0].dataType,a,v)),w&&E.push(tt("mean_output",1,p)),_&&E.push(tt("inv_std_output",1,p)),P&&E.push(tt("input_skip_bias_sum",e[0].dataType,a,v));let k=lr(e[0].dataType),B=lr(1,v);return` + }`};return{name:"RotaryEmbedding",shaderCache:{hint:Dt({interleaved:t}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:P,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(h)/jn)},programUniforms:f})}},Qg=(e,r)=>{Hg(e.inputs,r),e.compute(qg(e.inputs,r))}}),Xg,Jg,Yg,jv=Ue(()=>{pt(),Mt(),xt(),Xg=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let r=e[0],t=e[1],s=e[2];if(r.dataType!==t.dataType||r.dataType!==s.dataType)throw new Error("All inputs must have the same data type");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Input must be 2D or 3D");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=r.dims[r.dims.length-1],n=r.dims[r.dims.length-2];if(t.dims[t.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(t.dims[t.dims.length-2]!==n)throw new Error("Skip must have the same sequence length as input");if(s.dims.length!==1)throw new Error("Gamma must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let o=e[3];if(o.dims.length!==1)throw new Error("Beta must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let o=e[4];if(o.dims.length!==1)throw new Error("Bias must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Jg=(e,r,t,s)=>{let i=r.simplified,n=e[0].dims,o=xe.size(n),a=n,l=o,d=n.slice(-1)[0],p=s?n.slice(0,-1).concat(1):[],u=!i&&e.length>3,h=e.length>4,w=s&&t>1,f=s&&t>2,P=t>3,A=64,b=Xt(d),y=[{type:12,data:l},{type:12,data:b},{type:12,data:d},{type:1,data:r.epsilon}],$=g=>{let M=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],E=[$e("x",e[0].dataType,e[0].dims,b),$e("skip",e[1].dataType,e[1].dims,b),$e("gamma",e[2].dataType,e[2].dims,b)];u&&E.push($e("beta",e[3].dataType,e[3].dims,b)),h&&E.push($e("bias",e[4].dataType,e[4].dims,b)),E.push(tt("output",e[0].dataType,a,b)),w&&E.push(tt("mean_output",1,p)),f&&E.push(tt("inv_std_output",1,p)),P&&E.push(tt("input_skip_bias_sum",e[0].dataType,a,b));let k=lr(e[0].dataType),B=lr(1,b);return` ${g.registerUniforms(M).declareVariables(...E)} var sum_shared : array<${B}, ${A}>; @@ -2611,7 +2611,7 @@ fn calculateOutputIndex(index: u32) -> u32 { let value = input_value + skip_value + bias_value; ${P?"input_skip_bias_sum[offset + i] = value;":""} output[offset + i] = value; - let f32_value = ${Un(k,v,"value")}; + let f32_value = ${Un(k,b,"value")}; sum_shared[ix] += f32_value; sum_squared_shared[ix] += f32_value * f32_value; } @@ -2629,17 +2629,17 @@ fn calculateOutputIndex(index: u32) -> u32 { let sum = sum_shared[0]; let square_sum = sum_squared_shared[0]; - let mean = ${Ws("sum",v)} / f32(uniforms.hidden_size); - let inv_std_dev = inverseSqrt(${Ws("square_sum",v)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon); + let mean = ${Ws("sum",b)} / f32(uniforms.hidden_size); + let inv_std_dev = inverseSqrt(${Ws("square_sum",b)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon); ${w?"mean_output[global_idx] = mean;":""} - ${_?"inv_std_output[global_idx] = inv_std_dev;":""} + ${f?"inv_std_output[global_idx] = inv_std_dev;":""} for (var i: u32 = 0; i < stride; i++) { output[offset + i] = (output[offset + i] ${i?"":`- ${k}(mean)`}) * ${k}(inv_std_dev) * gamma[offset1d + i] ${u?"+ beta[offset1d + i]":""}; } - }`},x=[{dims:a,dataType:e[0].dataType}];return t>1&&x.push({dims:p,dataType:1}),t>2&&x.push({dims:p,dataType:1}),t>3&&x.push({dims:n,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${v};${w};${_};${P}`,inputDependencies:e.map((g,M)=>"type")},getShaderSource:S,getRunData:()=>({outputs:x,dispatchGroup:{x:Math.ceil(l/d)},programUniforms:y})}},Jg=(e,r)=>{Qg(e.inputs);let t=[0];e.outputCount>1&&t.push(-3),e.outputCount>2&&t.push(-3),e.outputCount>3&&t.push(3),e.compute(Xg(e.inputs,r,e.outputCount,!1),{outputs:t})}}),Yg,Ni,Zg,Ic,ew,tw,rw,sw,Iv=je(()=>{pt(),yt(),Yt(),vt(),Yg=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");if(r.axes.length!==0){if(r.axes.length!==r.starts.length||r.axes.length!==r.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(r.starts.length!==r.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((t,s)=>{if(e[s+1].dataType!==6&&e[s+1].dataType!==7)throw new Error(`Input ${s} must be an array of int32 or int64`)})},Ni=(e,r)=>{let t=[];if(e.length>r)if(e[r].dataType===7)e[r].getBigInt64Array().forEach(s=>t.push(Number(s)));else if(e[r].dataType===6)e[r].getInt32Array().forEach(s=>t.push(Number(s)));else throw new Error(`Input ${r} must be an array of int32 or int64`);return t},Zg=(e,r)=>{if(e.length>1){let t=Ni(e,1),s=Ni(e,2),i=Ni(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),Dt({starts:t,ends:s,axes:i})}else return r},Ic=(e,r,t,s,i)=>{let n=e;return e<0&&(n+=t[s[r]]),i[r]<0?Math.max(0,Math.min(n,t[s[r]]-1)):Math.max(0,Math.min(n,t[s[r]]))},ew=(e,r,t)=>`fn calculateInputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} { + }`},T=[{dims:a,dataType:e[0].dataType}];return t>1&&T.push({dims:p,dataType:1}),t>2&&T.push({dims:p,dataType:1}),t>3&&T.push({dims:n,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${b};${w};${f};${P}`,inputDependencies:e.map((g,M)=>"type")},getShaderSource:$,getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(l/d)},programUniforms:y})}},Yg=(e,r)=>{Xg(e.inputs);let t=[0];e.outputCount>1&&t.push(-3),e.outputCount>2&&t.push(-3),e.outputCount>3&&t.push(3),e.compute(Jg(e.inputs,r,e.outputCount,!1),{outputs:t})}}),Zg,Ni,ew,Ac,tw,rw,sw,nw,Uv=Ue(()=>{pt(),Mt(),Yt(),xt(),Zg=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");if(r.axes.length!==0){if(r.axes.length!==r.starts.length||r.axes.length!==r.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(r.starts.length!==r.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((t,s)=>{if(e[s+1].dataType!==6&&e[s+1].dataType!==7)throw new Error(`Input ${s} must be an array of int32 or int64`)})},Ni=(e,r)=>{let t=[];if(e.length>r)if(e[r].dataType===7)e[r].getBigInt64Array().forEach(s=>t.push(Number(s)));else if(e[r].dataType===6)e[r].getInt32Array().forEach(s=>t.push(Number(s)));else throw new Error(`Input ${r} must be an array of int32 or int64`);return t},ew=(e,r)=>{if(e.length>1){let t=Ni(e,1),s=Ni(e,2),i=Ni(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),Dt({starts:t,ends:s,axes:i})}else return r},Ac=(e,r,t,s,i)=>{let n=e;return e<0&&(n+=t[s[r]]),i[r]<0?Math.max(0,Math.min(n,t[s[r]]-1)):Math.max(0,Math.min(n,t[s[r]]))},tw=(e,r,t)=>`fn calculateInputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} { var input_indices: ${e.type.indices}; var carry = 0u; for (var i = ${t.length}; i >= 0; i--) { @@ -2657,29 +2657,29 @@ fn calculateOutputIndex(index: u32) -> u32 { ${e.indicesSet("input_indices","i","input_index")}; } return input_indices; - }`,tw=(e,r)=>{let t=e[0].dims,s=xe.size(t),i=r.axes.length>0?xe.normalizeAxes(r.axes,t.length):[...Array(t.length).keys()],n=Ni(e,4);n.forEach(v=>v!==0||(()=>{throw new Error("step cannot be 0")})),n.length===0&&(n=Array(i.length).fill(1));let o=r.starts.map((v,y)=>Ic(v,y,t,i,n)),a=r.ends.map((v,y)=>Ic(v,y,t,i,n));if(i.length!==o.length||i.length!==a.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==t.length)for(let v=0;vMath.sign(v));n.forEach((v,y,S)=>{if(v<0){let x=(a[y]-o[y])/v,g=o[y],M=g+x*n[y];o[y]=M,a[y]=g,S[y]=-v}});let d=t.slice(0);i.forEach((v,y)=>{d[v]=Math.ceil((a[v]-o[v])/n[v])});let p={dims:d,dataType:e[0].dataType},u=tt("output",e[0].dataType,d.length),h=$e("input",e[0].dataType,e[0].dims.length),w=xe.size(d),_=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:o.length},{name:"signs",type:"i32",length:l.length},{name:"steps",type:"u32",length:n.length}],P=[{type:12,data:w},{type:12,data:o},{type:6,data:l},{type:12,data:n},...nt(e[0].dims,d)],A=v=>` - ${v.registerUniforms(_).declareVariables(h,u)} - ${ew(h,u,t)} - ${v.mainStart()} - ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + }`,rw=(e,r)=>{let t=e[0].dims,s=xe.size(t),i=r.axes.length>0?xe.normalizeAxes(r.axes,t.length):[...Array(t.length).keys()],n=Ni(e,4);n.forEach(b=>b!==0||(()=>{throw new Error("step cannot be 0")})),n.length===0&&(n=Array(i.length).fill(1));let o=r.starts.map((b,y)=>Ac(b,y,t,i,n)),a=r.ends.map((b,y)=>Ac(b,y,t,i,n));if(i.length!==o.length||i.length!==a.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==t.length)for(let b=0;bMath.sign(b));n.forEach((b,y,$)=>{if(b<0){let T=(a[y]-o[y])/b,g=o[y],M=g+T*n[y];o[y]=M,a[y]=g,$[y]=-b}});let d=t.slice(0);i.forEach((b,y)=>{d[b]=Math.ceil((a[b]-o[b])/n[b])});let p={dims:d,dataType:e[0].dataType},u=tt("output",e[0].dataType,d.length),h=$e("input",e[0].dataType,e[0].dims.length),w=xe.size(d),f=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:o.length},{name:"signs",type:"i32",length:l.length},{name:"steps",type:"u32",length:n.length}],P=[{type:12,data:w},{type:12,data:o},{type:6,data:l},{type:12,data:n},...nt(e[0].dims,d)],A=b=>` + ${b.registerUniforms(f).declareVariables(h,u)} + ${tw(h,u,t)} + ${b.mainStart()} + ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} let output_indices = ${u.offsetToIndices("global_idx")}; let input_indices = calculateInputIndices(output_indices); ${u.setByOffset("global_idx",h.getByIndices("input_indices"))} - }`;return{name:"Slice",shaderCache:{hint:`${l.length}_${o.length}_${n.length}`,inputDependencies:["rank"]},getShaderSource:A,getRunData:()=>({outputs:[p],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:P})}},rw=(e,r)=>{Yg(e.inputs,r);let t=Zg(e.inputs,r);e.compute(tw(e.inputs,t),{inputs:[0]})},sw=e=>{let r=e.starts,t=e.ends,s=e.axes;return Dt({starts:r,ends:t,axes:s})}}),nw,iw,ow,aw,Av=je(()=>{pt(),yt(),Yt(),Gs(),vt(),nw=e=>{if(!e||e.length!==1)throw new Error("Softmax op requires 1 input.")},iw=(e,r)=>{let t=e.inputs[0],s=t.dims,i=xe.size(s),n=s.length,o=xe.normalizeAxis(r.axis,n),a=ok),d[o]=n-1,d[n-1]=o,l=e.compute(Nr(t,d),{inputs:[t],outputs:[-1]})[0]):l=t;let p=l.dims,u=p[n-1],h=i/u,w=Xt(u),_=u/w,P=64;h===1&&(P=256);let A=(E,k)=>k===4?`max(max(${E}.x, ${E}.y), max(${E}.z, ${E}.w))`:k===2?`max(${E}.x, ${E}.y)`:k===3?`max(max(${E}.x, ${E}.y), ${E}.z)`:E,v=$e("x",l.dataType,l.dims,w),y=tt("result",l.dataType,l.dims,w),S=v.type.value,x=lr(l.dataType)==="f32"?`var threadMax = ${S}(-3.402823e+38f);`:`var threadMax = ${S}(-65504.0h);`,g=E=>` - var rowMaxShared : ${S}; - var rowSumShared : ${S}; - var threadShared : array<${S}, ${P}>; + }`;return{name:"Slice",shaderCache:{hint:`${l.length}_${o.length}_${n.length}`,inputDependencies:["rank"]},getShaderSource:A,getRunData:()=>({outputs:[p],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:P})}},sw=(e,r)=>{Zg(e.inputs,r);let t=ew(e.inputs,r);e.compute(rw(e.inputs,t),{inputs:[0]})},nw=e=>{let r=e.starts,t=e.ends,s=e.axes;return Dt({starts:r,ends:t,axes:s})}}),iw,ow,aw,lw,Vv=Ue(()=>{pt(),Mt(),Yt(),Gs(),xt(),iw=e=>{if(!e||e.length!==1)throw new Error("Softmax op requires 1 input.")},ow=(e,r)=>{let t=e.inputs[0],s=t.dims,i=xe.size(s),n=s.length,o=xe.normalizeAxis(r.axis,n),a=ok),d[o]=n-1,d[n-1]=o,l=e.compute(Nr(t,d),{inputs:[t],outputs:[-1]})[0]):l=t;let p=l.dims,u=p[n-1],h=i/u,w=Xt(u),f=u/w,P=64;h===1&&(P=256);let A=(E,k)=>k===4?`max(max(${E}.x, ${E}.y), max(${E}.z, ${E}.w))`:k===2?`max(${E}.x, ${E}.y)`:k===3?`max(max(${E}.x, ${E}.y), ${E}.z)`:E,b=$e("x",l.dataType,l.dims,w),y=tt("result",l.dataType,l.dims,w),$=b.type.value,T=lr(l.dataType)==="f32"?`var threadMax = ${$}(-3.402823e+38f);`:`var threadMax = ${$}(-65504.0h);`,g=E=>` + var rowMaxShared : ${$}; + var rowSumShared : ${$}; + var threadShared : array<${$}, ${P}>; - fn getValue(row: i32, col: i32, row_stride: i32) -> ${S} { + fn getValue(row: i32, col: i32, row_stride: i32) -> ${$} { let index = row * row_stride + col; return x[index]; } - fn setValue(row: i32, col: i32, row_stride: i32, value: ${S}) { + fn setValue(row: i32, col: i32, row_stride: i32, value: ${$}) { let index = row * row_stride + col; result[index] = value; } - ${E.registerUniform("packedCols","i32").declareVariables(v,y)} + ${E.registerUniform("packedCols","i32").declareVariables(b,y)} ${E.mainStart(P)} let gindex = i32(global_idx); let lindex = i32(local_idx); @@ -2689,7 +2689,7 @@ fn calculateOutputIndex(index: u32) -> u32 { let row_stride : i32 = uniforms.packedCols; // find the rows max - ${x} + ${T} for (var col = lindex; col < cols; col += wg) { let value = getValue(row, col, row_stride); threadMax = max(threadMax, value); @@ -2708,12 +2708,12 @@ fn calculateOutputIndex(index: u32) -> u32 { workgroupBarrier(); } if (lindex == 0) { - rowMaxShared = ${S}(${A("threadShared[0]",w)}); + rowMaxShared = ${$}(${A("threadShared[0]",w)}); } workgroupBarrier(); // find the rows sum - var threadSum = ${S}(0.0); + var threadSum = ${$}(0.0); for (var col = lindex; col < cols; col += wg) { let subExp = exp(getValue(row, col, row_stride) - rowMaxShared); threadSum += subExp; @@ -2728,7 +2728,7 @@ fn calculateOutputIndex(index: u32) -> u32 { workgroupBarrier(); } if (lindex == 0) { - rowSumShared = ${S}(${Ws("threadShared[0]",w)}); + rowSumShared = ${$}(${Ws("threadShared[0]",w)}); } workgroupBarrier(); @@ -2737,7 +2737,7 @@ fn calculateOutputIndex(index: u32) -> u32 { let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared; setValue(row, col, row_stride, value); } - }`,M=e.compute({name:"Softmax",shaderCache:{hint:`${w};${P}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:p,dataType:l.dataType}],dispatchGroup:{x:h},programUniforms:[{type:6,data:_}]}),getShaderSource:g},{inputs:[l],outputs:[a?-1:0]})[0];a&&e.compute(Nr(M,d),{inputs:[M]})},ow=(e,r)=>{nw(e.inputs),iw(e,r)},aw=e=>Dt({axis:e.axis})}),Ac,lw,dw,cw,uw,Fv=je(()=>{pt(),yt(),vt(),Ac=e=>Array.from(e.getBigInt64Array(),Number),lw=e=>{if(!e||e.length!==2)throw new Error("Tile requires 2 inputs.");if(e[0].dataType!==1&&e[0].dataType!==10&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(e[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(e[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Ac(e[1]).length!==e[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},dw=(e,r)=>{let t=[];for(let s=0;s{let t=e[0].dims,s=r??Ac(e[1]),i=dw(t,s),n=xe.size(i),o=e[0].dataType,a=$e("input",o,t.length),l=tt("output",o,i.length),d=p=>` + }`,M=e.compute({name:"Softmax",shaderCache:{hint:`${w};${P}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:p,dataType:l.dataType}],dispatchGroup:{x:h},programUniforms:[{type:6,data:f}]}),getShaderSource:g},{inputs:[l],outputs:[a?-1:0]})[0];a&&e.compute(Nr(M,d),{inputs:[M]})},aw=(e,r)=>{iw(e.inputs),ow(e,r)},lw=e=>Dt({axis:e.axis})}),Fc,dw,cw,uw,pw,Wv=Ue(()=>{pt(),Mt(),xt(),Fc=e=>Array.from(e.getBigInt64Array(),Number),dw=e=>{if(!e||e.length!==2)throw new Error("Tile requires 2 inputs.");if(e[0].dataType!==1&&e[0].dataType!==10&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(e[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(e[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Fc(e[1]).length!==e[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},cw=(e,r)=>{let t=[];for(let s=0;s{let t=e[0].dims,s=r??Fc(e[1]),i=cw(t,s),n=xe.size(i),o=e[0].dataType,a=$e("input",o,t.length),l=tt("output",o,i.length),d=p=>` const inputShape = ${a.indices(...t)}; ${p.registerUniform("output_size","u32").declareVariables(a,l)} ${p.mainStart()} @@ -2751,7 +2751,7 @@ fn calculateOutputIndex(index: u32) -> u32 { ${a.indicesSet("input_indices","i","input_dim_value")} } ${l.setByOffset("global_idx",a.getByIndices("input_indices"))} - }`;return{name:"Tile",shaderCache:{hint:`${s}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:[{type:12,data:n},...nt(e[0].dims,i)]}),getShaderSource:d}},uw=e=>{lw(e.inputs),e.compute(cw(e.inputs),{inputs:[0]})}}),pw,hw,mw,Ov=je(()=>{pt(),yt(),vt(),pw=(e,r,t,s,i)=>{let n=tt("output_data",i,t.length,4),o=$e("a_data",r[1].dataType,r[1].dims.length,4),a=$e("b_data",r[2].dataType,r[2].dims.length,4),l=$e("c_data",r[0].dataType,r[0].dims.length,4),d,p=(u,h,w)=>`select(${h}, ${u}, ${w})`;if(!s)d=n.setByOffset("global_idx",p(o.getByOffset("global_idx"),a.getByOffset("global_idx"),l.getByOffset("global_idx")));else{let u=(h,w,_="")=>{let P=`a_data[index_a${w}][component_a${w}]`,A=`b_data[index_b${w}][component_b${w}]`,v=`bool(c_data[index_c${w}] & (0xffu << (component_c${w} * 8)))`;return` + }`;return{name:"Tile",shaderCache:{hint:`${s}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:[{type:12,data:n},...nt(e[0].dims,i)]}),getShaderSource:d}},pw=e=>{dw(e.inputs),e.compute(uw(e.inputs),{inputs:[0]})}}),hw,mw,_w,Gv=Ue(()=>{pt(),Mt(),xt(),hw=(e,r,t,s,i)=>{let n=tt("output_data",i,t.length,4),o=$e("a_data",r[1].dataType,r[1].dims.length,4),a=$e("b_data",r[2].dataType,r[2].dims.length,4),l=$e("c_data",r[0].dataType,r[0].dims.length,4),d,p=(u,h,w)=>`select(${h}, ${u}, ${w})`;if(!s)d=n.setByOffset("global_idx",p(o.getByOffset("global_idx"),a.getByOffset("global_idx"),l.getByOffset("global_idx")));else{let u=(h,w,f="")=>{let P=`a_data[index_a${w}][component_a${w}]`,A=`b_data[index_b${w}][component_b${w}]`,b=`bool(c_data[index_c${w}] & (0xffu << (component_c${w} * 8)))`;return` let output_indices${w} = ${n.offsetToIndices(`global_idx * 4u + ${w}u`)}; let offset_a${w} = ${o.broadcastedIndicesToOffset(`output_indices${w}`,n)}; let offset_b${w} = ${a.broadcastedIndicesToOffset(`output_indices${w}`,n)}; @@ -2762,7 +2762,7 @@ fn calculateOutputIndex(index: u32) -> u32 { let component_a${w} = offset_a${w} % 4u; let component_b${w} = offset_b${w} % 4u; let component_c${w} = offset_c${w} % 4u; - ${h}[${w}] = ${_}(${p(P,A,v)}); + ${h}[${w}] = ${f}(${p(P,A,b)}); `};i===9?d=` var data = vec4(0); ${u("data",0,"u32")} @@ -2779,10 +2779,10 @@ fn calculateOutputIndex(index: u32) -> u32 { ${e.mainStart()} ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} ${d} - }`},hw=e=>{let r=e[1].dims,t=e[2].dims,s=e[0].dims,i=e[1].dataType,n=!(xe.areEqual(r,t)&&xe.areEqual(t,s)),o=r,a=xe.size(r);if(n){let d=Nn.calcShape(Nn.calcShape(r,t,!1),s,!1);if(!d)throw new Error("Can't perform where op on the given tensors");o=d,a=xe.size(o)}let l=Math.ceil(a/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:d=>pw(d,e,o,n,i),getRunData:()=>({outputs:[{dims:o,dataType:i}],dispatchGroup:{x:Math.ceil(a/64/4)},programUniforms:[{type:12,data:l},...nt(s,r,t,o)]})}},mw=e=>{e.compute(hw(e.inputs))}}),fw,Dv=je(()=>{qb(),qd(),Qb(),Xb(),Jb(),Yb(),Zb(),nv(),ov(),av(),lv(),dv(),cv(),uv(),pv(),hv(),mv(),fv(),_v(),gv(),wv(),yv(),Mv(),bv(),vv(),S_(),xv(),Tv(),Ev(),Pv(),Cv(),Gd(),Sv(),$v(),kv(),Iv(),Av(),D_(),Fv(),Gs(),Yd(),Ov(),fw=new 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Map,this.attributesBound=!1}getArtifact(e){return this.repo.get(e)}setArtifact(e,r){this.repo.set(e,r)}run(e,r,t,s,i){rs(e.programInfo.name);let n=this.backend.device,o=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let a=[];for(let d of r)a.push({binding:a.length,resource:{buffer:d.buffer}});for(let d of t)a.push({binding:a.length,resource:{buffer:d.buffer}});i&&a.push({binding:a.length,resource:i});let l=n.createBindGroup({layout:e.computePipeline.getBindGroupLayout(0),entries:a,label:e.programInfo.name});if(this.backend.sessionStatus==="capturing"){let d={kernelId:this.backend.currentKernelId,computePipeline:e.computePipeline,bindGroup:l,dispatchGroup:s};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(d)}o.setPipeline(e.computePipeline),o.setBindGroup(0,l),o.dispatchWorkgroups(...s),this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),Hr(e.programInfo.name)}dispose(){}build(e,r){rs(e.name);let t=this.backend.device,s=[];[{feature:"shader-f16",extension:"f16"},{feature:"subgroups",extension:"subgroups"}].forEach(d=>{t.features.has(d.feature)&&s.push(`enable ${d.extension};`)});let i=Bp(r,this.backend.device.limits),n=e.getShaderSource(i),o=`${s.join(` + }`},mw=e=>{let r=e[1].dims,t=e[2].dims,s=e[0].dims,i=e[1].dataType,n=!(xe.areEqual(r,t)&&xe.areEqual(t,s)),o=r,a=xe.size(r);if(n){let d=Nn.calcShape(Nn.calcShape(r,t,!1),s,!1);if(!d)throw new Error("Can't perform where op on the given tensors");o=d,a=xe.size(o)}let l=Math.ceil(a/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:d=>hw(d,e,o,n,i),getRunData:()=>({outputs:[{dims:o,dataType:i}],dispatchGroup:{x:Math.ceil(a/64/4)},programUniforms:[{type:12,data:l},...nt(s,r,t,o)]})}},_w=e=>{e.compute(mw(e.inputs))}}),fw,Kv=Ue(()=>{iv(),Qd(),ov(),av(),lv(),dv(),cv(),_v(),gv(),wv(),yv(),Mv(),bv(),vv(),xv(),Tv(),Ev(),Pv(),Cv(),Sv(),$v(),kv(),Iv(),Av(),Fv(),$f(),Ov(),Dv(),Lv(),zv(),Bv(),Kd(),Rv(),Nv(),jv(),Uv(),Vv(),Lf(),Wv(),Gs(),Zd(),Gv(),fw=new Map([["Abs",[Xh]],["Acos",[Jh]],["Acosh",[Yh]],["Add",[Rm]],["ArgMax",[Dh,qd]],["ArgMin",[Oh,qd]],["Asin",[Zh]],["Asinh",[em]],["Atan",[tm]],["Atanh",[rm]],["Attention",[jh]],["AveragePool",[ug,cg]],["BatchNormalization",[Gh]],["BiasAdd",[qh]],["BiasSplitGelu",[Lm]],["Cast",[nm,sm]],["Ceil",[am]],["Clip",[om]],["Concat",[Zm,e_]],["Conv",[pc,cc]],["ConvTranspose",[C_,T_]],["Cos",[lm]],["Cosh",[dm]],["CumSum",[$_,k_]],["DepthToSpace",[O_,D_]],["DequantizeLinear",[Mg,bg]],["Div",[Nm]],["Einsum",[j_,U_]],["Elu",[cm,Oi]],["Equal",[jm]],["Erf",[um]],["Exp",[pm]],["Expand",[K_]],["FastGelu",[q_]],["Floor",[hm]],["FusedConv",[pc,cc]],["Gather",[Y_,J_]],["GatherElements",[cf,df]],["GatherBlockQuantized",[nf,of]],["GatherND",[ef,tf]],["Gelu",[mm]],["Gemm",[mf,hf]],["GlobalAveragePool",[hg,pg]],["GlobalMaxPool",[gg,fg]],["Greater",[Gm]],["GreaterOrEqual",[Hm]],["GridSample",[xf,Tf]],["GroupQueryAttention",[Rf]],["HardSigmoid",[vm,bm]],["InstanceNormalization",[Uf]],["LayerNormalization",[Gf]],["LeakyRelu",[_m,Oi]],["Less",[Km]],["LessOrEqual",[qm]],["Log",[km]],["MatMul",[Hf]],["MatMulNBits",[Jf,Yf]],["MaxPool",[mg,_g]],["Mul",[Um]],["MultiHeadAttention",[Sf,Pf]],["Neg",[gm]],["Not",[fm]],["Pad",[ag]],["Pow",[Vm]],["QuickGelu",[Fm,Oi]],["Range",[Tg]],["Reciprocal",[wm]],["ReduceMin",[$h]],["ReduceMean",[Th]],["ReduceMax",[Sh]],["ReduceSum",[Ih]],["ReduceProd",[kh]],["ReduceL1",[Eh]],["ReduceL2",[Ph]],["ReduceLogSum",[Fh]],["ReduceLogSumExp",[Ch]],["ReduceSumSquare",[Ah]],["Relu",[ym]],["Resize",[Gg,Kg]],["RotaryEmbedding",[Qg]],["ScatterND",[Sg,Cg]],["Sigmoid",[Mm]],["Sin",[xm]],["Sinh",[Tm]],["Slice",[sw,nw]],["SkipLayerNormalization",[Yg]],["Split",[Of,Df]],["Sqrt",[Em]],["Softmax",[aw,lw]],["Sub",[Wm]],["Tan",[Pm]],["Tanh",[Cm]],["ThresholdedRelu",[$m,Oi]],["Tile",[pw]],["Transpose",[Gp,Kp]],["Where",[_w]]])}),gw,Hv=Ue(()=>{ss(),ks(),xt(),gw=class{constructor(e){this.backend=e,this.repo=new Map,this.attributesBound=!1}getArtifact(e){return this.repo.get(e)}setArtifact(e,r){this.repo.set(e,r)}run(e,r,t,s,i){rs(e.programInfo.name);let n=this.backend.device,o=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let a=[];for(let d of r)a.push({binding:a.length,resource:{buffer:d.buffer}});for(let d of t)a.push({binding:a.length,resource:{buffer:d.buffer}});i&&a.push({binding:a.length,resource:i});let l=n.createBindGroup({layout:e.computePipeline.getBindGroupLayout(0),entries:a,label:e.programInfo.name});if(this.backend.sessionStatus==="capturing"){let d={kernelId:this.backend.currentKernelId,computePipeline:e.computePipeline,bindGroup:l,dispatchGroup:s};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(d)}o.setPipeline(e.computePipeline),o.setBindGroup(0,l),o.dispatchWorkgroups(...s),this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),Hr(e.programInfo.name)}dispose(){}build(e,r){rs(e.name);let t=this.backend.device,s=[];[{feature:"shader-f16",extension:"f16"},{feature:"subgroups",extension:"subgroups"}].forEach(d=>{t.features.has(d.feature)&&s.push(`enable ${d.extension};`)});let i=Rp(r,this.backend.device.limits),n=e.getShaderSource(i),o=`${s.join(` `)} ${i.additionalImplementations} 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s=e.name;return(i=e.shaderCache)!=null&&i.hint&&(s+="["+e.shaderCache.hint+"]"),s+=":"+t+`:${gw(r,((n=e.shaderCache)==null?void 0:n.inputDependencies)??new Array(r.length).fill("dims"))}`,s},yw=class{constructor(e){e&&(this.architecture=e.architecture,this.vendor=e.vendor)}isArchitecture(e){return this.architecture===e}isVendor(e){return this.vendor===e}},Mw=class{constructor(){this.currentSessionId=null,this.currentKernelId=null,this.commandEncoder=null,this.computePassEncoder=null,this.maxDispatchNumber=16,this.pendingDispatchNumber=0,this.pendingKernels=[],this.pendingQueries=new Map,this.sessionStatus="default",this.capturedCommandList=new Map,this.capturedPendingKernels=new Map,this.sessionExternalDataMapping=new Map}get currentKernelCustomData(){if(this.currentKernelId===null)throw new Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let e=this.kernelCustomData.get(this.currentKernelId);return e||(e={},this.kernelCustomData.set(this.currentKernelId,e)),e}async initialize(e,r){this.env=e;let t=[],s={requiredLimits:{maxComputeWorkgroupStorageSize:r.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:r.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:r.limits.maxStorageBufferBindingSize,maxBufferSize:r.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:r.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:r.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:r.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:r.limits.maxComputeWorkgroupSizeZ},requiredFeatures:t},i=n=>r.features.has(n)&&t.push(n)&&!0;i("chromium-experimental-timestamp-query-inside-passes")||i("timestamp-query"),i("shader-f16"),i("subgroups"),this.device=await r.requestDevice(s),this.adapterInfo=new yw(r.info||await r.requestAdapterInfo()),this.gpuDataManager=kp(this),this.programManager=new _w(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,Dd(e.logLevel,!!e.debug),this.device.onuncapturederror=n=>{n.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${n.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:r,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let e=this.getCommandEncoder(),r={};this.queryType==="at-passes"&&(r.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=e.beginComputePass(r)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;rs(),this.endComputePass();let e;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),e=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(e,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,e,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&e.mapAsync(GPUMapMode.READ).then(()=>{var s;let r=new BigUint64Array(e.getMappedRange()),t=this.pendingQueries.get(e);for(let i=0;i"u"&&(this.queryTimeBase=w);let P=Number(w-this.queryTimeBase),A=Number(_-this.queryTimeBase);if(!Number.isSafeInteger(P)||!Number.isSafeInteger(A))throw new RangeError("incorrect timestamp range");if((s=this.env.webgpu.profiling)!=null&&s.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:u.map(v=>({dims:v.dims,dataType:mn(v.dataType)})),outputsMetadata:h.map(v=>({dims:v.dims,dataType:mn(v.dataType)})),kernelId:o,kernelType:l,kernelName:d,programName:p,startTime:P,endTime:A});else{let v="";u.forEach((S,x)=>{v+=`input[${x}]: [${S.dims}] | ${mn(S.dataType)}, `});let y="";h.forEach((S,x)=>{y+=`output[${x}]: [${S.dims}] | ${mn(S.dataType)}, `}),console.log(`[profiling] kernel "${o}|${l}|${d}|${p}" ${v}${y}execution time: ${A-P} ns`)}ki("GPU",`${p}::${w}::${_}`)}e.unmap(),this.pendingQueries.delete(e)}),Hr()}run(e,r,t,s,i,n){rs(e.name);let o=[];for(let y=0;yS):t;if(p.length!==a.length)throw new Error(`Output size ${p.length} must be equal to ${a.length}.`);let u=[],h=[];for(let y=0;y=n)throw new Error(`Invalid output index: ${p[y]}`);if(p[y]===-3)continue;let S=p[y]===-1,x=p[y]===-2,g=S||x?i(a[y].dataType,a[y].dims):s(p[y],a[y].dataType,a[y].dims);if(u.push(g),g.data===0)continue;let M=this.gpuDataManager.get(g.data);if(!M)throw new Error(`no GPU data for output: ${g.data}`);if(S&&this.temporaryData.push(M),x){let E=this.kernelPersistentData.get(this.currentKernelId);E||(E=[],this.kernelPersistentData.set(this.currentKernelId,E)),E.push(M)}h.push(M)}if(o.length!==r.length||h.length!==u.length){if(h.length===0)return Hr(e.name),u;throw new Error(`Program ${e.name} has zero-sized tensor(s) in inputs or outputs. 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_=this.programManager.normalizeDispatchGroupSize(l),P=_[1]===1&&_[2]===1,A=ww(e,r,P),v=this.programManager.getArtifact(A);if(v||(v=this.programManager.build(e,_),this.programManager.setArtifact(A,v),St("info",()=>`[artifact] key: ${A}, programName: ${e.name}`)),d&&v.uniformVariablesInfo){if(d.length!==v.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${v.uniformVariablesInfo.length}, got ${d.length} in program "${v.programInfo.name}".`);for(let y=0;y`[ProgramManager] run "${e.name}" (key=${A}) with ${_[0]}x${_[1]}x${_[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let y={kernelId:this.currentKernelId,programName:v.programInfo.name,inputTensorViews:r,outputTensorViews:u};this.pendingKernels.push(y),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(y)}return this.programManager.run(v,o,h,_,w),Hr(e.name),u}upload(e,r){this.gpuDataManager.upload(e,r)}memcpy(e,r){this.gpuDataManager.memcpy(e,r)}async download(e,r){await this.gpuDataManager.download(e,r)}alloc(e){return this.gpuDataManager.create(e).id}free(e){return this.gpuDataManager.release(e)}createKernel(e,r,t,s){let i=fw.get(e);if(!i)throw new Error(`kernel not implemented: ${e}`);let n={kernelType:e,kernelName:s,kernelEntry:i[0],attributes:[i[1],t]};this.kernels.set(r,n)}releaseKernel(e){let r=this.kernelPersistentData.get(e);if(r){for(let t of r)this.gpuDataManager.release(t.id);this.kernelPersistentData.delete(e)}this.kernelCustomData.delete(e),this.kernels.delete(e)}computeKernel(e,r,t){let s=this.kernels.get(e);if(!s)throw new Error(`kernel not created: ${e}`);let i=s.kernelType,n=s.kernelName,o=s.kernelEntry,a=s.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${i}] ${n}" is not allowed to be called 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r=this.gpuDataManager.get(e);if(!r)throw new Error(`no GPU data for buffer: ${e}`);return r.buffer}createDownloader(e,r,t){return async()=>{let s=await Nd(this,e,r);return Ld(s.buffer,t)}}writeTimestamp(e){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,e)}setQueryType(){var e;this.queryType="none",(((e=this.env.webgpu.profiling)==null?void 0:e.mode)==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){St("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){St("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){St("info","replay"),this.sessionStatus="replaying";let e=this.capturedCommandList.get(this.currentSessionId),r=this.capturedPendingKernels.get(this.currentSessionId),t=e.length;this.pendingKernels=[];for(let 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i=this.tensorManager.getMLContext(e);if(this.wrapper){if(this.wrapper.canReuseTensor(i,r,t))return this.wrapper.tensor;if(s){if(this.wrapper.byteLength!==Oc(r,t))throw new Error("Unable to copy data to tensor with different size.");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let n=typeof MLTensorUsage>"u"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(e,r,t,n,!0,!0),s&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(e){if(this.wrapper)if(e.byteLength===this.wrapper.byteLength){this.wrapper.write(e);return}else St("verbose",()=>"Data size does not match tensor size. 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this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext(e);return this.mlContextCache.push({gpuDevice:e,mlContext:s}),s}}else if(e===void 0){let t=this.mlContextCache.findIndex(s=>s.options===void 0&&s.gpuDevice===void 0);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:s}),s}}let r=this.mlContextCache.findIndex(t=>Ew(t.options,e));if(r!==-1)return this.mlContextCache[r].mlContext;{let t=await navigator.ml.createContext(e);return this.mlContextCache.push({options:e,mlContext:t}),t}}registerMLContext(e,r){this.mlContextBySessionId.set(e,r);let t=this.sessionIdsByMLContext.get(r);t||(t=new Set,this.sessionIdsByMLContext.set(r,t)),t.add(e),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(e,this.temporaryGraphInputs),this.temporaryGraphInputs=[])}onReleaseSession(e){this.sessionGraphInputs.delete(e);let r=this.mlContextBySessionId.get(e);if(!r)return;this.tensorManager.releaseTensorsForSession(e),this.mlContextBySessionId.delete(e);let t=this.sessionIdsByMLContext.get(r);if(t.delete(e),t.size===0){this.sessionIdsByMLContext.delete(r);let s=this.mlContextCache.findIndex(i=>i.mlContext===r);s!==-1&&this.mlContextCache.splice(s,1)}}getMLContext(e){return this.mlContextBySessionId.get(e)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(e){St("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${e}}`),this.tensorManager.releaseTensorId(e)}async ensureTensor(e,r,t,s,i){let n=Ia.get(t);if(!n)throw new Error(`Unsupported ONNX data type: ${t}`);return this.tensorManager.ensureTensor(e??this.currentSessionId,r,n,s,i)}async createTemporaryTensor(e,r,t){St("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${r}, shape: ${t}}`);let s=Ia.get(r);if(!s)throw new Error(`Unsupported ONNX data type: ${r}`);let i=this.tensorManager.reserveTensorId();await 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a=n.get(o);if(!a)throw new Error(`File with name ${o} not found in preloaded files.`);if(r+t>a.byteLength)throw new Error("Out of bounds: data offset and length exceed the external file data size.");let l=a.slice(r,r+t).buffer,d;switch(i.dataType){case"float32":d=new Float32Array(l);break;case"float16":d=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(l):new Uint16Array(l);break;case"int32":d=new Int32Array(l);break;case"uint32":d=new Uint32Array(l);break;case"int64":d=new BigInt64Array(l);break;case"uint64":d=new BigUint64Array(l);break;case"int8":d=new Int8Array(l);break;case"int4":case"uint4":case"uint8":d=new Uint8Array(l);break;default:throw new Error(`Unsupported data type: ${i.dataType} in creating WebNN Constant from external data.`)}return St("verbose",()=>`[WebNN] registerMLConstant {dataType: ${i.dataType}, shape: ${i.shape}}}`),s.constant(i,d)}registerGraphInput(e){this.temporaryGraphInputs.push(e)}isGraphInput(e,r){let t=this.sessionGraphInputs.get(e);return t?t.includes(r):!1}flush(){}}}),Cw={};Ci(Cw,{init:()=>$w});var Aa,Sw,$w,Nv=je(()=>{pt(),zv(),ks(),yt(),Rv(),Aa=class lb{constructor(r,t,s,i){this.module=r,this.dataType=t,this.data=s,this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,r)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,r)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,r)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Uint16Array:new 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(should not happen)");let e=this.kernelCustomData.get(this.currentKernelId);return e||(e={},this.kernelCustomData.set(this.currentKernelId,e)),e}async initialize(e,r){this.env=e;let t=[],s={requiredLimits:{maxComputeWorkgroupStorageSize:r.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:r.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:r.limits.maxStorageBufferBindingSize,maxBufferSize:r.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:r.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:r.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:r.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:r.limits.maxComputeWorkgroupSizeZ},requiredFeatures:t},i=n=>r.features.has(n)&&t.push(n)&&!0;i("chromium-experimental-timestamp-query-inside-passes")||i("timestamp-query"),i("shader-f16"),i("subgroups"),this.device=await r.requestDevice(s),this.adapterInfo=new Mw(r.info||await r.requestAdapterInfo()),this.gpuDataManager=Ip(this),this.programManager=new gw(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,Ld(e.logLevel,!!e.debug),this.device.onuncapturederror=n=>{n.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${n.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:r,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let e=this.getCommandEncoder(),r={};this.queryType==="at-passes"&&(r.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=e.beginComputePass(r)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;rs(),this.endComputePass();let e;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),e=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(e,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,e,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&e.mapAsync(GPUMapMode.READ).then(()=>{var s;let r=new BigUint64Array(e.getMappedRange()),t=this.pendingQueries.get(e);for(let i=0;i"u"&&(this.queryTimeBase=w);let P=Number(w-this.queryTimeBase),A=Number(f-this.queryTimeBase);if(!Number.isSafeInteger(P)||!Number.isSafeInteger(A))throw new RangeError("incorrect timestamp range");if((s=this.env.webgpu.profiling)!=null&&s.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:u.map(b=>({dims:b.dims,dataType:mn(b.dataType)})),outputsMetadata:h.map(b=>({dims:b.dims,dataType:mn(b.dataType)})),kernelId:o,kernelType:l,kernelName:d,programName:p,startTime:P,endTime:A});else{let b="";u.forEach(($,T)=>{b+=`input[${T}]: [${$.dims}] | ${mn($.dataType)}, `});let y="";h.forEach(($,T)=>{y+=`output[${T}]: [${$.dims}] | ${mn($.dataType)}, `}),console.log(`[profiling] kernel "${o}|${l}|${d}|${p}" ${b}${y}execution time: ${A-P} ns`)}ki("GPU",`${p}::${w}::${f}`)}e.unmap(),this.pendingQueries.delete(e)}),Hr()}run(e,r,t,s,i,n){rs(e.name);let o=[];for(let y=0;y$):t;if(p.length!==a.length)throw new Error(`Output size ${p.length} must be equal to ${a.length}.`);let u=[],h=[];for(let y=0;y=n)throw new Error(`Invalid output index: ${p[y]}`);if(p[y]===-3)continue;let $=p[y]===-1,T=p[y]===-2,g=$||T?i(a[y].dataType,a[y].dims):s(p[y],a[y].dataType,a[y].dims);if(u.push(g),g.data===0)continue;let M=this.gpuDataManager.get(g.data);if(!M)throw new Error(`no GPU data for output: ${g.data}`);if($&&this.temporaryData.push(M),T){let E=this.kernelPersistentData.get(this.currentKernelId);E||(E=[],this.kernelPersistentData.set(this.currentKernelId,E)),E.push(M)}h.push(M)}if(o.length!==r.length||h.length!==u.length){if(h.length===0)return Hr(e.name),u;throw new Error(`Program ${e.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let w;if(d){let y=0,$=[];d.forEach(E=>{let k=typeof E.data=="number"?[E.data]:E.data;if(k.length===0)return;let B=E.type===10?2:4,N,J;E.type===10?(J=k.length>4?16:k.length>2?8:k.length*B,N=k.length>4?16:B*k.length):(J=k.length<=2?k.length*B:16,N=16),y=Math.ceil(y/J)*J,$.push(y);let q=E.type===10?8:4;y+=k.length>4?Math.ceil(k.length/q)*N:k.length*B});let T=16;y=Math.ceil(y/T)*T;let g=new ArrayBuffer(y);d.forEach((E,k)=>{let B=$[k],N=typeof E.data=="number"?[E.data]:E.data;if(E.type===6)new Int32Array(g,B,N.length).set(N);else if(E.type===12)new Uint32Array(g,B,N.length).set(N);else if(E.type===10)new Uint16Array(g,B,N.length).set(N);else if(E.type===1)new Float32Array(g,B,N.length).set(N);else throw new Error(`Unsupported uniform type: ${mn(E.type)}`)});let M=this.gpuDataManager.create(y,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(M.buffer,0,g,0,y),this.gpuDataManager.release(M.id),w={offset:0,size:y,buffer:M.buffer}}let f=this.programManager.normalizeDispatchGroupSize(l),P=f[1]===1&&f[2]===1,A=yw(e,r,P),b=this.programManager.getArtifact(A);if(b||(b=this.programManager.build(e,f),this.programManager.setArtifact(A,b),St("info",()=>`[artifact] key: ${A}, programName: ${e.name}`)),d&&b.uniformVariablesInfo){if(d.length!==b.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${b.uniformVariablesInfo.length}, got ${d.length} in program "${b.programInfo.name}".`);for(let y=0;y`[ProgramManager] run "${e.name}" (key=${A}) with ${f[0]}x${f[1]}x${f[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let y={kernelId:this.currentKernelId,programName:b.programInfo.name,inputTensorViews:r,outputTensorViews:u};this.pendingKernels.push(y),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(y)}return this.programManager.run(b,o,h,f,w),Hr(e.name),u}upload(e,r){this.gpuDataManager.upload(e,r)}memcpy(e,r){this.gpuDataManager.memcpy(e,r)}async download(e,r){await this.gpuDataManager.download(e,r)}alloc(e){return this.gpuDataManager.create(e).id}free(e){return this.gpuDataManager.release(e)}createKernel(e,r,t,s){let i=fw.get(e);if(!i)throw new Error(`kernel not implemented: ${e}`);let n={kernelType:e,kernelName:s,kernelEntry:i[0],attributes:[i[1],t]};this.kernels.set(r,n)}releaseKernel(e){let r=this.kernelPersistentData.get(e);if(r){for(let t of r)this.gpuDataManager.release(t.id);this.kernelPersistentData.delete(e)}this.kernelCustomData.delete(e),this.kernels.delete(e)}computeKernel(e,r,t){let s=this.kernels.get(e);if(!s)throw new Error(`kernel not created: ${e}`);let i=s.kernelType,n=s.kernelName,o=s.kernelEntry,a=s.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${i}] ${n}" is not allowed to be called recursively`);this.currentKernelId=e,a[0]&&(a[1]=a[0](a[1]),a[0]=void 0),St("info",()=>`[WebGPU] Start to run kernel "[${i}] ${n}"...`);let l=this.env.debug;this.temporaryData=[];try{return l&&this.device.pushErrorScope("validation"),o(r,a[1]),0}catch(d){return t.push(Promise.resolve(`[WebGPU] Kernel "[${i}] ${n}" failed. ${d}`)),1}finally{l&&t.push(this.device.popErrorScope().then(d=>d?`GPU validation error for kernel "[${i}] ${n}": ${d.message}`:null));for(let d of this.temporaryData)this.gpuDataManager.release(d.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(e,r,t,s){let i=this.sessionExternalDataMapping.get(e);i||(i=new Map,this.sessionExternalDataMapping.set(e,i));let n=i.get(r),o=this.gpuDataManager.registerExternalBuffer(t,s,n);return i.set(r,[o,t]),o}unregisterBuffers(e){let r=this.sessionExternalDataMapping.get(e);r&&(r.forEach(t=>this.gpuDataManager.unregisterExternalBuffer(t[0])),this.sessionExternalDataMapping.delete(e))}getBuffer(e){let r=this.gpuDataManager.get(e);if(!r)throw new Error(`no GPU data for buffer: ${e}`);return r.buffer}createDownloader(e,r,t){return async()=>{let s=await jd(this,e,r);return zd(s.buffer,t)}}writeTimestamp(e){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,e)}setQueryType(){var e;this.queryType="none",(((e=this.env.webgpu.profiling)==null?void 0:e.mode)==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){St("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){St("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){St("info","replay"),this.sessionStatus="replaying";let e=this.capturedCommandList.get(this.currentSessionId),r=this.capturedPendingKernels.get(this.currentSessionId),t=e.length;this.pendingKernels=[];for(let s=0;s=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(e){this.unregisterBuffers(e),this.capturedCommandList.has(e)&&this.capturedCommandList.delete(e),this.capturedPendingKernels.has(e)&&this.capturedPendingKernels.delete(e),this.gpuDataManager.onReleaseSession(e)}onRunStart(e){this.currentSessionId=e,this.setQueryType()}}}),vw,Oc,xw,Dc,Lc,zc,Tw,Ew,Qv=Ue(()=>{ks(),vw=1,Oc=()=>vw++,xw=new Map([["float32",32],["float16",16],["int32",32],["uint32",32],["int64",64],["uint64",64],["int8",8],["uint8",8],["int4",4],["uint4",4]]),Dc=(e,r)=>{let t=xw.get(e);if(!t)throw new Error("Unsupported data type.");return r.length>0?Math.ceil(r.reduce((s,i)=>s*i)*t/8):0},Lc=class{constructor(e){this.sessionId=e.sessionId,this.mlContext=e.context,this.mlTensor=e.tensor,this.dataType=e.dataType,this.tensorShape=e.shape}get tensor(){return this.mlTensor}get type(){return this.dataType}get shape(){return this.tensorShape}get byteLength(){return Dc(this.dataType,this.tensorShape)}destroy(){St("verbose",()=>"[WebNN] TensorWrapper.destroy"),this.mlTensor.destroy()}write(e){this.mlContext.writeTensor(this.mlTensor,e)}async read(e){return e?this.mlContext.readTensor(this.mlTensor,e):this.mlContext.readTensor(this.mlTensor)}canReuseTensor(e,r,t){return this.mlContext===e&&this.dataType===r&&this.tensorShape.length===t.length&&this.tensorShape.every((s,i)=>s===t[i])}},zc=class{constructor(e,r){this.tensorManager=e,this.wrapper=r}get tensorWrapper(){return this.wrapper}releaseTensor(){this.tensorWrapper&&(this.tensorManager.releaseTensor(this.tensorWrapper),this.wrapper=void 0)}async ensureTensor(e,r,t,s){let i=this.tensorManager.getMLContext(e);if(this.wrapper){if(this.wrapper.canReuseTensor(i,r,t))return this.wrapper.tensor;if(s){if(this.wrapper.byteLength!==Dc(r,t))throw new Error("Unable to copy data to tensor with different size.");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let n=typeof MLTensorUsage>"u"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(e,r,t,n,!0,!0),s&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(e){if(this.wrapper)if(e.byteLength===this.wrapper.byteLength){this.wrapper.write(e);return}else St("verbose",()=>"Data size does not match tensor size. Releasing tensor."),this.releaseTensor();this.activeUpload?this.activeUpload.set(e):this.activeUpload=new Uint8Array(e)}async download(e){if(this.activeUpload)if(e){e instanceof ArrayBuffer?new Uint8Array(e).set(this.activeUpload):new Uint8Array(e.buffer,e.byteOffset,e.byteLength).set(this.activeUpload);return}else return this.activeUpload.buffer;if(!this.wrapper)throw new Error("Tensor has not been created.");return e?this.wrapper.read(e):this.wrapper.read()}},Tw=class{constructor(e){this.backend=e,this.tensorTrackersById=new Map,this.freeTensors=[],this.externalTensors=new Set}getMLContext(e){let r=this.backend.getMLContext(e);if(!r)throw new Error("MLContext not found for session.");return r}reserveTensorId(){let e=Oc();return this.tensorTrackersById.set(e,new zc(this)),e}releaseTensorId(e){let r=this.tensorTrackersById.get(e);r&&(this.tensorTrackersById.delete(e),r.tensorWrapper&&this.releaseTensor(r.tensorWrapper))}async ensureTensor(e,r,t,s,i){St("verbose",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${r}, dataType: ${t}, shape: ${s}, copyOld: ${i}}`);let n=this.tensorTrackersById.get(r);if(!n)throw new Error("Tensor not found.");return n.ensureTensor(e,t,s,i)}upload(e,r){let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");t.upload(r)}async download(e,r){St("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${e}, dstBuffer: ${r==null?void 0:r.byteLength}}`);let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");return t.download(r)}releaseTensorsForSession(e){for(let r of this.freeTensors)r.sessionId===e&&r.destroy();this.freeTensors=this.freeTensors.filter(r=>r.sessionId!==e)}registerTensor(e,r,t,s){let i=this.getMLContext(e),n=Oc(),o=new Lc({sessionId:e,context:i,tensor:r,dataType:t,shape:s});return this.tensorTrackersById.set(n,new zc(this,o)),this.externalTensors.add(o),n}async getCachedTensor(e,r,t,s,i,n){let o=this.getMLContext(e);for(let[l,d]of this.freeTensors.entries())if(d.canReuseTensor(o,r,t)){St("verbose",()=>`[WebNN] Reusing tensor {dataType: ${r}, shape: ${t}}`);let p=this.freeTensors.splice(l,1)[0];return p.sessionId=e,p}St("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${r}, shape: ${t}}`);let a=await o.createTensor({dataType:r,shape:t,dimensions:t,usage:s,writable:i,readable:n});return new Lc({sessionId:e,context:o,tensor:a,dataType:r,shape:t})}releaseTensor(e){this.externalTensors.has(e)&&this.externalTensors.delete(e),this.freeTensors.push(e)}},Ew=(...e)=>new Tw(...e)}),Ia,Pw,Cw,Xv=Ue(()=>{pt(),hn(),Cp(),Qv(),ks(),Ia=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),Pw=(e,r)=>{if(e===r)return!0;if(e===void 0||r===void 0)return!1;let t=Object.keys(e).sort(),s=Object.keys(r).sort();return t.length===s.length&&t.every((i,n)=>i===s[n]&&e[i]===r[i])},Cw=class{constructor(e){this.tensorManager=Ew(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.temporaryGraphInputs=[],this.temporarySessionTensorIds=new Map,Ld(e.logLevel,!!e.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw new Error("No active session");return this.activeSessionId}onRunStart(e){St("verbose",()=>`[WebNN] onRunStart {sessionId: ${e}}`),this.activeSessionId=e}onRunEnd(e){St("verbose",()=>`[WebNN] onRunEnd {sessionId: ${e}}`);let r=this.temporarySessionTensorIds.get(e);if(r){for(let t of r)St("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${t}}`),this.tensorManager.releaseTensorId(t);this.temporarySessionTensorIds.delete(e),this.activeSessionId=void 0}}async createMLContext(e){if(e instanceof GPUDevice){let t=this.mlContextCache.findIndex(s=>s.gpuDevice===e);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext(e);return this.mlContextCache.push({gpuDevice:e,mlContext:s}),s}}else if(e===void 0){let t=this.mlContextCache.findIndex(s=>s.options===void 0&&s.gpuDevice===void 0);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:s}),s}}let r=this.mlContextCache.findIndex(t=>Pw(t.options,e));if(r!==-1)return this.mlContextCache[r].mlContext;{let t=await navigator.ml.createContext(e);return this.mlContextCache.push({options:e,mlContext:t}),t}}registerMLContext(e,r){this.mlContextBySessionId.set(e,r);let t=this.sessionIdsByMLContext.get(r);t||(t=new Set,this.sessionIdsByMLContext.set(r,t)),t.add(e),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(e,this.temporaryGraphInputs),this.temporaryGraphInputs=[])}onReleaseSession(e){this.sessionGraphInputs.delete(e);let r=this.mlContextBySessionId.get(e);if(!r)return;this.tensorManager.releaseTensorsForSession(e),this.mlContextBySessionId.delete(e);let t=this.sessionIdsByMLContext.get(r);if(t.delete(e),t.size===0){this.sessionIdsByMLContext.delete(r);let s=this.mlContextCache.findIndex(i=>i.mlContext===r);s!==-1&&this.mlContextCache.splice(s,1)}}getMLContext(e){return this.mlContextBySessionId.get(e)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(e){St("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${e}}`),this.tensorManager.releaseTensorId(e)}async ensureTensor(e,r,t,s,i){let n=Ia.get(t);if(!n)throw new Error(`Unsupported ONNX data type: ${t}`);return this.tensorManager.ensureTensor(e??this.currentSessionId,r,n,s,i)}async createTemporaryTensor(e,r,t){St("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${r}, shape: ${t}}`);let s=Ia.get(r);if(!s)throw new Error(`Unsupported ONNX data type: ${r}`);let i=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(e,i,s,t,!1);let n=this.temporarySessionTensorIds.get(e);return n?n.push(i):this.temporarySessionTensorIds.set(e,[i]),i}uploadTensor(e,r){if(!ar().shouldTransferToMLTensor)throw new Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");St("verbose",()=>`[WebNN] uploadTensor {tensorId: ${e}, data: ${r.byteLength}}`),this.tensorManager.upload(e,r)}async downloadTensor(e,r){return this.tensorManager.download(e,r)}createMLTensorDownloader(e,r){return async()=>{let t=await this.tensorManager.download(e);return zd(t,r)}}registerMLTensor(e,r,t,s){let i=Ia.get(t);if(!i)throw new Error(`Unsupported ONNX data type: ${t}`);let n=this.tensorManager.registerTensor(e,r,i,s);return St("verbose",()=>`[WebNN] registerMLTensor {tensor: ${r}, dataType: ${i}, dimensions: ${s}} -> {tensorId: ${n}}`),n}registerMLConstant(e,r,t,s,i,n){if(!n)throw new Error("External mounted files are not available.");let o=e;e.startsWith("./")&&(o=e.substring(2));let a=n.get(o);if(!a)throw new Error(`File with name ${o} not found in preloaded files.`);if(r+t>a.byteLength)throw new Error("Out of bounds: data offset and length exceed the external file data size.");let l=a.slice(r,r+t).buffer,d;switch(i.dataType){case"float32":d=new Float32Array(l);break;case"float16":d=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(l):new Uint16Array(l);break;case"int32":d=new Int32Array(l);break;case"uint32":d=new Uint32Array(l);break;case"int64":d=new BigInt64Array(l);break;case"uint64":d=new BigUint64Array(l);break;case"int8":d=new Int8Array(l);break;case"int4":case"uint4":case"uint8":d=new Uint8Array(l);break;default:throw new Error(`Unsupported data type: ${i.dataType} in creating WebNN Constant from external data.`)}return St("verbose",()=>`[WebNN] registerMLConstant {dataType: ${i.dataType}, shape: ${i.shape}}}`),s.constant(i,d)}registerGraphInput(e){this.temporaryGraphInputs.push(e)}isGraphInput(e,r){let t=this.sessionGraphInputs.get(e);return t?t.includes(r):!1}flush(){}}}),Sw={};Ci(Sw,{init:()=>kw});var Aa,$w,kw,Jv=Ue(()=>{pt(),qv(),ks(),Mt(),Xv(),Aa=class yb{constructor(r,t,s,i){this.module=r,this.dataType=t,this.data=s,this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,r)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,r)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,r)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Uint16Array:new 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s=t("./src/utils/generic.js");t("./src/utils/tensor.js");var i=t("./src/utils/maths.js");class n extends s.Callable{_call(M,E){throw Error("`_call` should be implemented in a subclass")}}class o extends s.Callable{_call(M,E){throw Error("`_call` should be implemented in a subclass")}}class a extends s.Callable{constructor(){super(),this.processors=[]}push(M){this.processors.push(M)}extend(M){this.processors.push(...M)}_call(M,E){let k=E;for(const B of this.processors)k=B(M,k);return k}[Symbol.iterator](){return this.processors.values()}}class l extends n{constructor(M){super(),this.bos_token_id=M}_call(M,E){for(let k=0;k=1&&R[R.length-1]>=this.timestamp_begin,q=R.length<2||R[R.length-2]>=this.timestamp_begin;if(J&&(q?B.subarray(this.timestamp_begin).fill(-1/0):B.subarray(0,this.eos_token_id).fill(-1/0)),M[k].length===this.begin_index&&this.max_initial_timestamp_index!==null){const Q=this.timestamp_begin+this.max_initial_timestamp_index;B.subarray(Q+1).fill(-1/0)}const 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Error("sample should be implemented in subclasses.")}getLogits(u,h){let w=u.dims.at(-1),_=u.data;if(h===-1)_=_.slice(-w);else{let P=h*w;_=_.slice(P,P+w)}return _}randomSelect(u){let h=0;for(let _=0;_1)return new d(u);if(u.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${u.num_return_sequences}.`);return new a(u)}}class a extends o{async sample(u){const h=(0,n.max)(u.data)[1];return[[BigInt(h),0]]}}class l extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[w,_]=await(0,i.topk)(u,h),P=(0,n.softmax)(w.data);return Array.from({length:this.generation_config.num_beams},()=>{const A=this.randomSelect(P);return[_.data[A],Math.log(P[A])]})}}class d extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[w,_]=await(0,i.topk)(u,h),P=(0,n.softmax)(w.data);return Array.from({length:this.generation_config.num_beams},(A,v)=>[_.data[v],Math.log(P[v])])}}},"./src/generation/stopping_criteria.js":(e,r,t)=>{t.r(r),t.d(r,{EosTokenCriteria:()=>a,InterruptableStoppingCriteria:()=>l,MaxLengthCriteria:()=>o,StoppingCriteria:()=>i,StoppingCriteriaList:()=>n});var s=t("./src/utils/generic.js");class i extends s.Callable{_call(p,u){throw Error("StoppingCriteria needs to be subclassed")}}class n extends s.Callable{constructor(){super(),this.criteria=[]}push(p){this.criteria.push(p)}extend(p){p instanceof n?p=p.criteria:p instanceof i&&(p=[p]),this.criteria.push(...p)}_call(p,u){const h=new Array(p.length).fill(!1);for(const w of this.criteria){const _=w(p,u);for(let P=0;Pu.length>=this.max_length)}}class a extends i{constructor(p){super(),Array.isArray(p)||(p=[p]),this.eos_token_id=p}_call(p,u){return p.map(h=>{const w=h.at(-1);return this.eos_token_id.some(_=>w==_)})}}class l extends 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w,_;u.length>0&&((w=this.callback_function)==null||w.call(this,u)),h&&this.callback_function===a&&n.apis.IS_PROCESS_AVAILABLE&&((_=this.callback_function)==null||_.call(this,` -`))}}class d extends l{constructor(u,{skip_prompt:h=!1,callback_function:w=null,token_callback_function:_=null,on_chunk_start:P=null,on_chunk_end:A=null,on_finalize:v=null,time_precision:y=.02,skip_special_tokens:S=!0,decode_kwargs:x={}}={}){super(u,{skip_prompt:h,skip_special_tokens:S,callback_function:w,token_callback_function:_,decode_kwargs:x}),this.timestamp_begin=u.timestamp_begin,this.on_chunk_start=P,this.on_chunk_end=A,this.on_finalize=v,this.time_precision=y,this.waiting_for_timestamp=!1}put(u){var w,_;if(u.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const h=u[0];if(h.length===1){const P=Number(h[0])-this.timestamp_begin;if(P>=0){const 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Using the default device.`),_e=null));const me=_e??(v.apis.IS_NODE_ENV?"cpu":"wasm"),Se=(0,i.deviceToExecutionProviders)(me);let De=L.dtype??oe.dtype;if(typeof De!="string"&&(De&&De.hasOwnProperty($)?De=De[$]:(De=n.DEFAULT_DEVICE_DTYPE_MAPPING[me]??n.DATA_TYPES.fp32,console.warn(`dtype not specified for "${$}". Using the default dtype (${De}) for this device (${me}).`))),De===n.DATA_TYPES.auto){let Pt=oe.dtype;typeof Pt!="string"&&(Pt=Pt[$]),Pt&&Pt!==n.DATA_TYPES.auto&&n.DATA_TYPES.hasOwnProperty(Pt)?De=Pt:De=n.DEFAULT_DEVICE_DTYPE_MAPPING[me]??n.DATA_TYPES.fp32}const Ge=De;if(n.DEFAULT_DTYPE_SUFFIX_MAPPING.hasOwnProperty(Ge)){if(Ge===n.DATA_TYPES.fp16&&me==="webgpu"&&!await(0,n.isWebGpuFp16Supported)())throw new Error(`The device (${me}) does not support fp16.`)}else throw new Error(`Invalid dtype: ${Ge}. 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When `free_dimension_overrides` is not set, you may experience significant performance degradation.');const ut=(0,l.getModelFile)(T,Et,!0,L,v.apis.IS_NODE_ENV),Tt=L.use_external_data_format??oe.use_external_data_format;let Lt=[];if(Tt){let Pt;typeof Tt=="object"?Tt.hasOwnProperty(st)?Pt=Tt[st]:Tt.hasOwnProperty($)?Pt=Tt[$]:Pt=!1:Pt=Tt;const Nt=+Pt;if(Nt>l.MAX_EXTERNAL_DATA_CHUNKS)throw new Error(`The number of external data chunks (${Nt}) exceeds the maximum allowed value (${l.MAX_EXTERNAL_DATA_CHUNKS}).`);for(let tr=0;tr{const Cr=await(0,l.getModelFile)(T,Wr,!0,L,v.apis.IS_NODE_ENV);dn(Cr instanceof Uint8Array?{path:sr,data:Cr}:sr)}))}}else at.externalData!==void 0&&(Lt=at.externalData.map(async Pt=>{if(typeof Pt.data=="string"){const Nt=await(0,l.getModelFile)(T,Pt.data,!0,L);return{...Pt,data:Nt}}return Pt}));if(Lt.length>0){const Pt=await Promise.all(Lt);v.apis.IS_NODE_ENV||(at.externalData=Pt)}if(me==="webgpu"){const Pt=(0,s.getKeyValueShapes)(L.config,{prefix:"present"});if(Object.keys(Pt).length>0&&!(0,i.isONNXProxy)()){const Nt={};for(const tr in Pt)Nt[tr]="gpu-buffer";at.preferredOutputLocation=Nt}}return{buffer_or_path:await ut,session_options:at,session_config:lt}}async function B(T,$,L){return Object.fromEntries(await Promise.all(Object.keys($).map(async oe=>{const{buffer_or_path:_e,session_options:me,session_config:Se}=await k(T,$[oe],L),De=await(0,i.createInferenceSession)(_e,me,Se);return[oe,De]})))}async function R(T,$,L){return Object.fromEntries(await Promise.all(Object.keys($).map(async oe=>{const _e=await(0,l.getModelJSON)(T,$[oe],!1,L);return[oe,_e]})))}function J(T,$){const L=Object.create(null),oe=[];for(const Se of T.inputNames){const De=$[Se];if(!(De instanceof h.Tensor)){oe.push(Se);continue}L[Se]=(0,i.isONNXProxy)()?De.clone():De}if(oe.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${oe.join(", ")}.`);const _e=Object.keys($).length,me=T.inputNames.length;if(_e>me){let Se=Object.keys($).filter(De=>!T.inputNames.includes(De));console.warn(`WARNING: Too many inputs were provided (${_e} > ${me}). The following inputs will be ignored: "${Se.join(", ")}".`)}return L}async function q(T,$){const L=J(T,$);try{const oe=Object.fromEntries(Object.entries(L).map(([me,Se])=>[me,Se.ort_tensor]));let _e=await T.run(oe);return _e=V(_e),_e}catch(oe){const _e=Object.fromEntries(Object.entries(L).map(([me,{type:Se,dims:De,data:Ge}])=>[me,{type:Se,dims:De,data:Ge}]));throw console.error(`An error occurred during model execution: "${oe}".`),console.error("Inputs given to model:",_e),oe}}function V(T){for(let $ in T)(0,i.isONNXTensor)(T[$])?T[$]=new h.Tensor(T[$]):typeof T[$]=="object"&&V(T[$]);return T}function Y(T){if(T instanceof h.Tensor)return T;if(T.length===0)throw Error("items must be non-empty");if(Array.isArray(T[0])){if(T.some($=>$.length!==T[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new h.Tensor("int64",BigInt64Array.from(T.flat().map($=>BigInt($))),[T.length,T[0].length])}else return new h.Tensor("int64",BigInt64Array.from(T.map($=>BigInt($))),[1,T.length])}function H(T){return new h.Tensor("bool",[T],[1])}async function Q(T,$){let{encoder_outputs:L,input_ids:oe,decoder_input_ids:_e,...me}=$;if(!L){const De=(0,a.pick)($,T.sessions.model.inputNames);L=(await ie(T,De)).last_hidden_state}return me.input_ids=_e,me.encoder_hidden_states=L,T.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(me.encoder_attention_mask=$.attention_mask),await ae(T,me,!0)}async function ie(T,$){const L=T.sessions.model,oe=(0,a.pick)($,L.inputNames);if(L.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds){if(!$.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");oe.inputs_embeds=await T.encode_text({input_ids:$.input_ids})}if(L.inputNames.includes("token_type_ids")&&!oe.token_type_ids){if(!oe.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");oe.token_type_ids=(0,h.zeros_like)(oe.input_ids)}if(L.inputNames.includes("pixel_mask")&&!oe.pixel_mask){if(!oe.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const _e=oe.pixel_values.dims;oe.pixel_mask=(0,h.ones)([_e[0],_e[2],_e[3]])}return await q(L,oe)}async function le(T,$){const L=await T.encode($);return await T.decode(L)}async function ae(T,$,L=!1){const oe=T.sessions[L?"decoder_model_merged":"model"],{past_key_values:_e,...me}=$;if(oe.inputNames.includes("use_cache_branch")&&(me.use_cache_branch=H(!!_e)),oe.inputNames.includes("position_ids")&&me.attention_mask&&!me.position_ids){const De=T.config.model_type==="paligemma"?1:0;me.position_ids=fe(me,_e,De)}T.addPastKeyValues(me,_e);const Se=(0,a.pick)(me,oe.inputNames);return await q(oe,Se)}function ge({modality_token_id:T,inputs_embeds:$,modality_features:L,input_ids:oe,attention_mask:_e}){const me=oe.tolist().map(Je=>Je.reduce((lt,wt,st)=>(wt==T&<.push(st),lt),[])),Se=me.reduce((Je,lt)=>Je+lt.length,0),De=L.dims[0];if(Se!==De)throw new Error(`Number of tokens and features do not match: tokens: ${Se}, features ${De}`);let Ge=0;for(let Je=0;Jeme.dims[1])){if(_eDe==T.config.image_token_index)){const De=T.config.num_image_tokens;if(!De)throw new Error("`num_image_tokens` is missing in the model configuration.");const Ge=me.dims[1]-(_e-De);L.input_ids=me.slice(null,[-Ge,null]),L.attention_mask=(0,h.ones)([1,_e+Ge])}}}return L}function He(T,$,L,oe){return L.past_key_values&&($=$.map(_e=>[_e.at(-1)])),{...L,decoder_input_ids:Y($)}}function Me(T,...$){return T.config.is_encoder_decoder?He(T,...$):ke(T,...$)}function K(T,$,L,oe){const _e=!!L.past_key_values;return oe.guidance_scale!==null&&oe.guidance_scale>1&&(_e?L.input_ids=(0,h.cat)([L.input_ids,L.input_ids],0):(L.input_ids=(0,h.cat)([L.input_ids,(0,h.full_like)(L.input_ids,BigInt(oe.pad_token_id))],0),L.attention_mask=(0,h.cat)([L.attention_mask,(0,h.full_like)(L.attention_mask,0n)],0))),(_e||!L.pixel_values)&&(L.pixel_values=(0,h.full)([0,0,3,384,384],1)),_e&&(L.images_seq_mask=new h.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),L.images_emb_mask=new h.Tensor("bool",new Array(0).fill(!1),[1,1,0])),L}class U extends o.Callable{constructor(L,oe,_e){super();re(this,"main_input_name","input_ids");re(this,"forward_params",["input_ids","attention_mask"]);this.config=L,this.sessions=oe,this.configs=_e;const me=E.get(this.constructor),Se=g.get(me);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,Se){case x.DecoderOnly:this.can_generate=!0,this._forward=ae,this._prepare_inputs_for_generation=ke;break;case x.Seq2Seq:case x.Vision2Seq:case x.Musicgen:this.can_generate=!0,this._forward=Q,this._prepare_inputs_for_generation=He;break;case x.EncoderDecoder:this._forward=Q;break;case x.ImageTextToText:this.can_generate=!0,this._forward=X,this._prepare_inputs_for_generation=Me;break;case x.AudioTextToText:this.can_generate=!0,this._forward=ne,this._prepare_inputs_for_generation=Me;break;case x.Phi3V:this.can_generate=!0,this._prepare_inputs_for_generation=Me;break;case x.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=K;break;case x.AutoEncoder:this._forward=le;break;default:this._forward=ie;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var oe;const L=[];for(const _e of Object.values(this.sessions))(oe=_e==null?void 0:_e.handler)!=null&&oe.dispose&&L.push(_e.handler.dispose());return await Promise.all(L)}static async from_pretrained(L,{progress_callback:oe=null,config:_e=null,cache_dir:me=null,local_files_only:Se=!1,revision:De="main",model_file_name:Ge=null,subfolder:Je="onnx",device:lt=null,dtype:wt=null,use_external_data_format:st=null,session_options:Et={}}={}){let at={progress_callback:oe,config:_e,cache_dir:me,local_files_only:Se,revision:De,model_file_name:Ge,subfolder:Je,device:lt,dtype:wt,use_external_data_format:st,session_options:Et};const bt=E.get(this),ut=g.get(bt);_e=at.config=await s.AutoConfig.from_pretrained(L,at);let Tt;if(ut===x.DecoderOnly)Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ut===x.Seq2Seq||ut===x.Vision2Seq)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ut===x.MaskGeneration)Tt=await Promise.all([B(L,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},at)]);else if(ut===x.EncoderDecoder)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at)]);else if(ut===x.ImageTextToText){const Lt={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};_e.is_encoder_decoder&&(Lt.model="encoder_model"),Tt=await Promise.all([B(L,Lt,at),R(L,{generation_config:"generation_config.json"},at)])}else if(ut===x.AudioTextToText){const Lt={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};Tt=await Promise.all([B(L,Lt,at),R(L,{generation_config:"generation_config.json"},at)])}else if(ut===x.Musicgen)Tt=await Promise.all([B(L,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ut===x.MultiModality)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ut===x.Phi3V)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ut===x.AutoEncoder)Tt=await Promise.all([B(L,{encoder_model:"encoder_model",decoder_model:"decoder_model"},at)]);else{if(ut!==x.EncoderOnly){const Lt=bt??(_e==null?void 0:_e.model_type);Lt!=="custom"&&console.warn(`Model type for '${Lt}' not found, assuming encoder-only architecture. Please report this at ${d.GITHUB_ISSUE_URL}.`)}Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at)])}return new this(_e,...Tt)}async _call(L){return await this.forward(L)}async forward(L){return await this._forward(this,L)}get generation_config(){var L;return((L=this.configs)==null?void 0:L.generation_config)??null}_get_logits_warper(L){const oe=new p.LogitsProcessorList;return L.temperature!==null&&L.temperature!==1&&oe.push(new p.TemperatureLogitsWarper(L.temperature)),L.top_k!==null&&L.top_k!==0&&oe.push(new p.TopKLogitsWarper(L.top_k)),L.top_p!==null&&L.top_p<1&&oe.push(new p.TopPLogitsWarper(L.top_p)),oe}_get_logits_processor(L,oe,_e=null){const me=new p.LogitsProcessorList;if(L.repetition_penalty!==null&&L.repetition_penalty!==1&&me.push(new p.RepetitionPenaltyLogitsProcessor(L.repetition_penalty)),L.no_repeat_ngram_size!==null&&L.no_repeat_ngram_size>0&&me.push(new p.NoRepeatNGramLogitsProcessor(L.no_repeat_ngram_size)),L.bad_words_ids!==null&&me.push(new p.NoBadWordsLogitsProcessor(L.bad_words_ids,L.eos_token_id)),L.min_length!==null&&L.eos_token_id!==null&&L.min_length>0&&me.push(new p.MinLengthLogitsProcessor(L.min_length,L.eos_token_id)),L.min_new_tokens!==null&&L.eos_token_id!==null&&L.min_new_tokens>0&&me.push(new p.MinNewTokensLengthLogitsProcessor(oe,L.min_new_tokens,L.eos_token_id)),L.forced_bos_token_id!==null&&me.push(new p.ForcedBOSTokenLogitsProcessor(L.forced_bos_token_id)),L.forced_eos_token_id!==null&&me.push(new p.ForcedEOSTokenLogitsProcessor(L.max_length,L.forced_eos_token_id)),L.begin_suppress_tokens!==null){const Se=oe>1||L.forced_bos_token_id===null?oe:oe+1;me.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se))}return L.guidance_scale!==null&&L.guidance_scale>1&&me.push(new p.ClassifierFreeGuidanceLogitsProcessor(L.guidance_scale)),_e!==null&&me.extend(_e),me}_prepare_generation_config(L,oe,_e=u.GenerationConfig){const me={...this.config};for(const De of["decoder","generator","text_config"])De in me&&Object.assign(me,me[De]);const Se=new _e(me);return Object.assign(Se,this.generation_config??{}),L&&Object.assign(Se,L),oe&&Object.assign(Se,(0,a.pick)(oe,Object.getOwnPropertyNames(Se))),Se}_get_stopping_criteria(L,oe=null){const _e=new P.StoppingCriteriaList;return L.max_length!==null&&_e.push(new P.MaxLengthCriteria(L.max_length,this.config.max_position_embeddings??null)),L.eos_token_id!==null&&_e.push(new P.EosTokenCriteria(L.eos_token_id)),oe&&_e.extend(oe),_e}_validate_model_class(){if(!this.can_generate){const L=[bu,vu,Mu,yu],oe=E.get(this.constructor),_e=new Set,me=this.config.model_type;for(const De of L){const Ge=De.get(me);Ge&&_e.add(Ge[0])}let Se=`The current model class (${oe}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw _e.size>0&&(Se+=` Please use the following class instead: ${[..._e].join(", ")}`),Error(Se)}}prepare_inputs_for_generation(...L){return this._prepare_inputs_for_generation(this,...L)}_update_model_kwargs_for_generation({generated_input_ids:L,outputs:oe,model_inputs:_e,is_encoder_decoder:me}){return _e.past_key_values=this.getPastKeyValues(oe,_e.past_key_values),_e.input_ids=new h.Tensor("int64",L.flat(),[L.length,1]),me||(_e.attention_mask=(0,h.cat)([_e.attention_mask,(0,h.ones)([_e.attention_mask.dims[0],1])],1)),_e.position_ids=null,_e}_prepare_model_inputs({inputs:L,bos_token_id:oe,model_kwargs:_e}){const me=(0,a.pick)(_e,this.forward_params),Se=this.main_input_name;if(Se in me){if(L)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else me[Se]=L;return{inputs_tensor:me[Se],model_inputs:me,model_input_name:Se}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:L,model_inputs:oe,model_input_name:_e,generation_config:me}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:De,pixel_values:Ge,attention_mask:Je,...lt}=oe,wt=await this._prepare_inputs_embeds(oe);oe={...lt,...(0,a.pick)(wt,["inputs_embeds","attention_mask"])}}let{last_hidden_state:Se}=await ie(this,oe);if(me.guidance_scale!==null&&me.guidance_scale>1)Se=(0,h.cat)([Se,(0,h.full_like)(Se,0)],0),"attention_mask"in oe&&(oe.attention_mask=(0,h.cat)([oe.attention_mask,(0,h.zeros_like)(oe.attention_mask)],0));else if(oe.decoder_input_ids){const De=Y(oe.decoder_input_ids).dims[0];if(De!==Se.dims[0]){if(Se.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${Se.dims[0]}) than the decoder inputs (${De}).`);Se=(0,h.cat)(Array.from({length:De},()=>Se),0)}}return oe.encoder_outputs=Se,oe}_prepare_decoder_input_ids_for_generation({batch_size:L,model_input_name:oe,model_kwargs:_e,decoder_start_token_id:me,bos_token_id:Se,generation_config:De}){let{decoder_input_ids:Ge,...Je}=_e;if(!(Ge instanceof h.Tensor)){if(Ge)Array.isArray(Ge[0])||(Ge=Array.from({length:L},()=>Ge));else if(me??(me=Se),this.config.model_type==="musicgen")Ge=Array.from({length:L*this.config.decoder.num_codebooks},()=>[me]);else if(Array.isArray(me)){if(me.length!==L)throw new Error(`\`decoder_start_token_id\` expcted to have length ${L} but got ${me.length}`);Ge=me}else Ge=Array.from({length:L},()=>[me]);Ge=Y(Ge)}return _e.decoder_attention_mask=(0,h.ones_like)(Ge),{input_ids:Ge,model_inputs:Je}}async generate({inputs:L=null,generation_config:oe=null,logits_processor:_e=null,stopping_criteria:me=null,streamer:Se=null,...De}){this._validate_model_class(),oe=this._prepare_generation_config(oe,De);let{inputs_tensor:Ge,model_inputs:Je,model_input_name:lt}=this._prepare_model_inputs({inputs:L,model_kwargs:De});const wt=this.config.is_encoder_decoder;wt&&("encoder_outputs"in Je||(Je=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Ge,model_inputs:Je,model_input_name:lt,generation_config:oe})));let st;wt?{input_ids:st,model_inputs:Je}=this._prepare_decoder_input_ids_for_generation({batch_size:Je[lt].dims.at(0),model_input_name:lt,model_kwargs:Je,decoder_start_token_id:oe.decoder_start_token_id,bos_token_id:oe.bos_token_id,generation_config:oe}):st=Je[lt];let Et=st.dims.at(-1);oe.max_new_tokens!==null&&(oe.max_length=Et+oe.max_new_tokens);const at=this._get_logits_processor(oe,Et,_e),bt=this._get_stopping_criteria(oe,me),ut=Je[lt].dims.at(0),Tt=A.LogitsSampler.getSampler(oe),Lt=new Array(ut).fill(0),Qt=st.tolist();Se&&Se.put(Qt);let yr,Pt={};for(;;){if(Je=this.prepare_inputs_for_generation(Qt,Je,oe),yr=await this.forward(Je),oe.output_attentions&&oe.return_dict_in_generate){const Cr=this.getAttentions(yr);for(const $s in Cr)$s in Pt||(Pt[$s]=[]),Pt[$s].push(Cr[$s])}const sr=yr.logits.slice(null,-1,null),Wr=at(Qt,sr),dn=[];for(let Cr=0;CrCr))break;Je=this._update_model_kwargs_for_generation({generated_input_ids:dn,outputs:yr,model_inputs:Je,is_encoder_decoder:wt})}Se&&Se.end();const Nt=this.getPastKeyValues(yr,Je.past_key_values,!0),tr=new h.Tensor("int64",Qt.flat(),[Qt.length,Qt[0].length]);if(oe.return_dict_in_generate)return{sequences:tr,past_key_values:Nt,...Pt};for(const sr of Object.values(yr))sr.location==="gpu-buffer"&&sr.dispose();return tr}getPastKeyValues(L,oe,_e=!1){const me=Object.create(null);for(const Se in L)if(Se.startsWith("present")){const De=Se.replace("present","past_key_values"),Ge=Se.includes("encoder");if(Ge&&oe?me[De]=oe[De]:me[De]=L[Se],oe&&(!Ge||_e)){const Je=oe[De];Je.location==="gpu-buffer"&&Je.dispose()}}return me}getAttentions(L){const oe={};for(const _e of["cross_attentions","encoder_attentions","decoder_attentions"])for(const me in L)me.startsWith(_e)&&(_e in oe||(oe[_e]=[]),oe[_e].push(L[me]));return oe}addPastKeyValues(L,oe){var _e,me,Se;if(oe)Object.assign(L,oe);else{const De=this.sessions.decoder_model_merged??this.sessions.model,Ge=((_e=De==null?void 0:De.config)==null?void 0:_e.kv_cache_dtype)??"float32",Je=Ge==="float16"?new h.DataTypeMap.float16:[],lt=((Se=(me=L[this.main_input_name]??L.attention_mask)==null?void 0:me.dims)==null?void 0:Se[0])??1,wt=(0,s.getKeyValueShapes)(this.config,{batch_size:lt});for(const st in wt)L[st]=new h.Tensor(Ge,Je,wt[st])}}async encode_image({pixel_values:L}){const oe=(await q(this.sessions.vision_encoder,{pixel_values:L})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${oe.dims[1]}).`),this.config.num_image_tokens=oe.dims[1]),oe}async encode_text({input_ids:L}){return(await q(this.sessions.embed_tokens,{input_ids:L})).inputs_embeds}async encode_audio({audio_values:L}){return(await q(this.sessions.audio_encoder,{audio_values:L})).audio_features}}class pe{}class Pe extends pe{constructor({last_hidden_state:$,hidden_states:L=null,attentions:oe=null}){super(),this.last_hidden_state=$,this.hidden_states=L,this.attentions=oe}}class Ee extends U{}class Fe extends Ee{}class Ie extends Ee{async _call($){return new wr(await super._call($))}}class Le extends Ee{async _call($){return new Mt(await super._call($))}}class Ne extends Ee{async _call($){return new pr(await super._call($))}}class Ve extends Ee{async _call($){return new Pr(await super._call($))}}class D extends U{}class Z extends D{}class z extends D{async _call($){return new wr(await super._call($))}}class ee extends D{async _call($){return new Mt(await super._call($))}}class ce extends D{async _call($){return new pr(await super._call($))}}class be extends U{}class ve extends be{}class Re extends U{}class Ae extends Re{}class Ue extends Re{async _call($){return new wr(await super._call($))}}class Qe extends Re{async _call($){return new Mt(await super._call($))}}class Xe extends Re{async _call($){return new pr(await super._call($))}}class ct extends Re{async _call($){return new Pr(await super._call($))}}class xt extends U{}class nr extends xt{}class jt extends xt{async _call($){return new wr(await super._call($))}}class dr extends xt{async _call($){return new Mt(await super._call($))}}class ds extends xt{async _call($){return new pr(await super._call($))}}class Fs extends xt{async _call($){return new Pr(await super._call($))}}class Dr extends U{}class cs extends Dr{}class Os extends Dr{async _call($){return new wr(await super._call($))}}class jr extends Dr{async _call($){return new Mt(await super._call($))}}class dt extends Dr{async _call($){return new pr(await super._call($))}}class qr extends Dr{async _call($){return new Pr(await super._call($))}}class Ur extends U{}class us extends Ur{}class xs extends Ur{async _call($){return new wr(await super._call($))}}class Ts extends Ur{async _call($){return new Mt(await super._call($))}}class Es extends Ur{async _call($){return new pr(await super._call($))}}class Ds extends Ur{async _call($){return new Pr(await super._call($))}}class mr extends U{}class Be extends mr{}class et extends mr{async _call($){return new wr(await super._call($))}}class it extends mr{async _call($){return new Mt(await super._call($))}}class rr extends mr{async _call($){return new pr(await super._call($))}}class zt extends mr{async _call($){return new Pr(await super._call($))}}class kr extends U{}class ps extends kr{}class hs extends kr{async _call($){return new wr(await super._call($))}}class Er extends kr{async _call($){return new Mt(await super._call($))}}class ms extends kr{async _call($){return new pr(await super._call($))}}class fs extends kr{async _call($){return new Pr(await super._call($))}}class Qr extends U{}class Ps extends Qr{}class qs extends Qr{async _call($){return new Mt(await super._call($))}}class Qs extends Qr{async _call($){return new pr(await super._call($))}}class Xs extends Qr{async _call($){return new Pr(await super._call($))}}class Js extends Qr{async _call($){return new wr(await super._call($))}}class _s extends U{}class Ys extends _s{}class Zs extends _s{async _call($){return new wr(await super._call($))}}class en extends _s{async _call($){return new Mt(await super._call($))}}class Lr extends _s{async _call($){return new pr(await super._call($))}}class Cs extends U{}class br extends Cs{}class Ls extends Cs{async _call($){return new wr(await super._call($))}}class zs extends Cs{async _call($){return new Mt(await super._call($))}}class Ir extends Cs{async _call($){return new Pr(await super._call($))}}class Xr extends U{}class Tn extends Xr{}class zr extends Xr{async _call($){return new wr(await super._call($))}}class En extends Xr{async _call($){return new Mt(await super._call($))}}class Bs extends Xr{async _call($){return new pr(await super._call($))}}class Ar extends Xr{async _call($){return new Pr(await super._call($))}}class Jr extends U{}class cr extends Jr{}class fr extends Jr{async _call($){return new wr(await super._call($))}}class Rs extends Jr{async _call($){return new Mt(await super._call($))}}class Pn extends Jr{async _call($){return new Pr(await super._call($))}}class Ss extends U{}class Cn extends Ss{}class ue extends Ss{async _call($){return new Mt(await super._call($))}}class F extends Ss{async _call($){return new Pr(await super._call($))}}class j extends Ss{async _call($){return new wr(await super._call($))}}class te extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class de extends te{}class he extends te{}class Ce extends U{}class We extends Ce{}class qe extends Ce{}class Ke extends U{}class Ze extends Ke{}class ht extends Ke{}class Ct extends U{}class kt extends Ct{}class Wt extends Ct{}class Ot extends Ct{async _call($){return new Mt(await super._call($))}}class Ut extends U{}class vr extends Ut{}class _r extends Ut{}class Yr extends Ut{async _call($){return new Mt(await super._call($))}}class xr extends Ut{}class gs extends U{}class Gt extends gs{}class Zt extends gs{}class gr extends U{}class Zr extends gr{}class ws extends gr{}class Ht extends U{}class ur extends Ht{}class Rt extends Ht{async _call($){return new wr(await super._call($))}}class Jt extends Ht{async _call($){return new Mt(await super._call($))}}class qt extends Ht{async _call($){return new pr(await super._call($))}}class er extends Ht{async _call($){return new Pr(await super._call($))}}class ir extends U{}class tn extends ir{}class rn extends ir{async _call($){return new wr(await super._call($))}}class La extends ir{async _call($){return new Mt(await super._call($))}}class Vi extends ir{async _call($){return new pr(await super._call($))}}class za extends ir{async _call($){return new Pr(await super._call($))}}class ys extends U{}class Ba extends ys{}class Ra extends ys{async _call($){return new wr(await super._call($))}}class Sn extends ys{async _call($){return new Mt(await super._call($))}}class Na extends ys{async _call($){return new pr(await super._call($))}}class Wi extends ys{async _call($){return new Pr(await super._call($))}}class Gi extends U{}class ja extends Gi{}class Ua extends Gi{}class Gn extends U{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_features");re(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class Va extends Gn{}class Ki extends Gn{_prepare_generation_config($,L){return super._prepare_generation_config($,L,y.WhisperGenerationConfig)}_retrieve_init_tokens($){const L=[$.decoder_start_token_id];let oe=$.language;const _e=$.task;if($.is_multilingual){oe||(console.warn("No language specified - defaulting to English (en)."),oe="en");const Se=`<|${(0,S.whisper_language_to_code)(oe)}|>`;L.push($.lang_to_id[Se]),L.push($.task_to_id[_e??"transcribe"])}else if(oe||_e)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!$.return_timestamps&&$.no_timestamps_token_id&&L.at(-1)!==$.no_timestamps_token_id?L.push($.no_timestamps_token_id):$.return_timestamps&&L.at(-1)===$.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),L.pop()),L.filter(me=>me!=null)}async generate({inputs:$=null,generation_config:L=null,logits_processor:oe=null,stopping_criteria:_e=null,...me}){L=this._prepare_generation_config(L,me);const Se=me.decoder_input_ids??this._retrieve_init_tokens(L);if(L.return_timestamps&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.WhisperTimeStampLogitsProcessor(L,Se))),L.begin_suppress_tokens&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se.length))),L.return_token_timestamps){if(!L.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");L.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),L.output_attentions=!0,L.return_dict_in_generate=!0}const De=await super.generate({inputs:$,generation_config:L,logits_processor:oe,decoder_input_ids:Se,...me});return L.return_token_timestamps&&(De.token_timestamps=this._extract_token_timestamps(De,L.alignment_heads,L.num_frames)),De}_extract_token_timestamps($,L,oe=null,_e=.02){if(!$.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");oe==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let me=this.config.median_filter_width;me===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),me=7);const Se=$.cross_attentions,De=Array.from({length:this.config.decoder_layers},(bt,ut)=>(0,h.cat)(Se.map(Tt=>Tt[ut]),2)),Ge=(0,h.stack)(L.map(([bt,ut])=>{if(bt>=De.length)throw new Error(`Layer index ${bt} is out of bounds for cross attentions (length ${De.length}).`);return oe?De[bt].slice(null,ut,null,[0,oe]):De[bt].slice(null,ut)})).transpose(1,0,2,3),[Je,lt]=(0,h.std_mean)(Ge,-2,0,!0),wt=Ge.clone();for(let bt=0;btTt[tr+1]-Tt[tr]),yr=(0,a.mergeArrays)([1],Qt).map(Nt=>!!Nt),Pt=[];for(let Nt=0;Ntst.findIndex(Et=>Et==me)),Ge=De.every(st=>st===-1),Je=De.every(st=>st!==-1);if(!Ge&&!Je)throw new Error("Every input should contain either 0 or 1 image token.");if(Ge)return{inputs_embeds:$,attention_mask:_e};const lt=[],wt=[];for(let st=0;stArray.from({length:$.dims[0]},Qt=>Array.from({length:$.dims[1]},yr=>1))),at=L?L.tolist():[],bt=oe?oe.tolist():[];let ut=0,Tt=0;for(let Lt=0;Ltst[Lt][or]==1),Pt=Qt.reduce((Kt,or,cn)=>(or==Ge&&Kt.push(cn),Kt),[]).map(Kt=>Qt[Kt+1]),Nt=Pt.filter(Kt=>Kt==Se).length,tr=Pt.filter(Kt=>Kt==De).length;let sr=[],Wr=0,dn=Nt,Yl=tr;for(let Kt=0;KtMs>Wr&&Dn==Se),cn=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==De),On=dn>0&&or!==-1?or:Qt.length+1,Pi=Yl>0&&cn!==-1?cn:Qt.length+1;let rd,Eu,Pu,Cu;On0?(0,_.max)(sr.at(-1))[0]+1:0;sr.push(Array.from({length:3*$u},(Dn,Ms)=>ib+Ms%$u));const ku=$u+ib,nd=gx*Su*sd,wx=Array.from({length:nd},(Dn,Ms)=>ku+Math.floor(Ms/(Su*sd))),yx=Array.from({length:nd},(Dn,Ms)=>ku+Math.floor(Ms/sd)%Su),Mx=Array.from({length:nd},(Dn,Ms)=>ku+Ms%sd);sr.push([wx,yx,Mx].flat()),Wr=rd+nd}if(Wr0?(0,_.max)(sr.at(-1))[0]+1:0,or=Qt.length-Wr;sr.push(Array.from({length:3*or},(cn,On)=>Kt+On%or))}const Cr=sr.reduce((Kt,or)=>Kt+or.length,0),$s=new Array(Cr);let Tu=0;for(let Kt=0;Kt<3;++Kt)for(let or=0;orwt[ut%wt.length]),at=Array.from({length:st[0]},(bt,ut)=>(0,_.max)(wt.subarray(st[1]*ut,st[1]*(ut+1)))[0]+1n+BigInt(st[1]));return[new h.Tensor("int64",Et,[3,...st]),new h.Tensor("int64",at,[at.length,1])]}else{const[wt,st]=$.dims,Et=BigInt64Array.from({length:3*wt*st},(at,bt)=>BigInt(Math.floor(bt%st/wt)));return[new h.Tensor("int64",Et,[3,...$.dims]),(0,h.zeros)([wt,1])]}}async encode_image({pixel_values:$,image_grid_thw:L}){return(await q(this.sessions.vision_encoder,{pixel_values:$,grid_thw:L})).image_features}_merge_input_ids_with_image_features($){return N({image_token_id:this.config.image_token_id,...$})}prepare_inputs_for_generation($,L,oe){if(L.attention_mask&&!L.position_ids)if(!L.past_key_values)[L.position_ids,L.rope_deltas]=this.get_rope_index(L.input_ids,L.image_grid_thw,L.video_grid_thw,L.attention_mask);else{L.pixel_values=null;const _e=BigInt(Object.values(L.past_key_values)[0].dims.at(-2)),me=L.rope_deltas.map(Se=>_e+Se);L.position_ids=(0,h.stack)([me,me,me],0)}return L}}class fi extends U{}class Fo extends fi{}class Oo extends fi{}class _i extends U{}class Do extends _i{}class Lo extends _i{}class gi extends U{}class zo extends gi{}class Bo extends gi{}class wi extends U{}class Ro extends wi{}class No extends wi{}class yi extends U{}class jo extends yi{}class Uo extends yi{}class Mi extends U{}class Vo extends Mi{}class Wo extends Mi{async _call($){return new Mt(await super._call($))}}class bi extends U{}class Go extends bi{}class Ko extends bi{async _call($){return new Mt(await super._call($))}}class Ho extends U{}class qo extends Ho{}class vi extends U{}class Qo extends vi{}class Xo extends vi{async _call($){return new Mt(await super._call($))}}class dl extends U{}class cl extends dl{}class Jo extends U{}class ul extends Jo{}class pl extends Jo{async _call($){return new Mt(await super._call($))}}class hl extends U{}class ml extends hl{}class Yo extends U{}class fl extends Yo{}class _l extends Yo{async _call($){return new Mt(await super._call($))}}class gl extends U{}class wl extends gl{async _call($){return new sb(await super._call($))}}class Zo extends U{}class yl extends Zo{}class Ml extends Zo{async _call($){return new Mt(await super._call($))}}class ea extends U{}class bl extends ea{}class vl extends ea{async _call($){return new Mt(await super._call($))}}class ta extends U{}class xl extends ta{}class Tl extends ta{}class ra extends U{}class El extends ra{}class Pl extends ra{}class sa extends U{}class Cl extends sa{}class Sl extends sa{async _call($){return new Mt(await super._call($))}}class xi extends U{}class $l extends xi{}class kl extends xi{async _call($){return new ia(await super._call($))}}class na extends xi{async _call($){return new Il(await super._call($))}}class ia extends pe{constructor({logits:$,pred_boxes:L}){super(),this.logits=$,this.pred_boxes=L}}class Il extends pe{constructor({logits:$,pred_boxes:L,pred_masks:oe}){super(),this.logits=$,this.pred_boxes=L,this.pred_masks=oe}}class oa extends U{}class Al extends oa{}class Fl extends oa{async _call($){return new Ol(await super._call($))}}class Ol extends pe{constructor({logits:$,pred_boxes:L}){super(),this.logits=$,this.pred_boxes=L}}class aa extends U{}class Dl extends aa{}class Ll extends aa{async _call($){return new zl(await super._call($))}}class zl extends ia{}class la extends U{}class Bl extends la{}class Rl extends la{async _call($){return new Mt(await super._call($))}}class da extends U{}class ca extends da{}class c extends da{async _call($){return new Mt(await super._call($))}}class m extends U{}class b extends m{}class C extends m{async _call($){return new Mt(await super._call($))}}class I extends U{}class W extends I{}class se extends I{async _call($){return new Mt(await super._call($))}}class ye extends I{}class Te extends U{}class ze extends Te{}class Ye extends Te{}class ot extends U{}class gt extends ot{}class Bt extends ot{}class Fr extends U{}class an extends Fr{}class Nl extends U{}class Hw extends Nl{}class qw extends Nl{}class Qw extends Nl{}class Xw extends U{}class Jw extends Xw{}class Zc extends U{}class Yw extends Zc{}class Zw extends Zc{}class eu extends U{}class ey extends eu{}class ty extends eu{}class ry extends U{}class sy extends ry{}class tu extends U{}class ny extends tu{}class iy extends tu{async _call($){return new Mt(await super._call($))}}class ru extends U{}class oy extends ru{}class ay extends ru{async _call($){return new Mt(await super._call($))}}class su extends U{}class ly extends su{}class dy extends su{async _call($){return new Mt(await super._call($))}}class nu extends U{}class cy extends nu{}class uy extends nu{async _call($){return new Mt(await super._call($))}}class py extends U{}class hy extends py{}class iu extends U{}class my extends iu{}class fy extends iu{async _call($){return new _y(await super._call($))}}class _y extends pe{constructor({logits:$,pred_boxes:L}){super(),this.logits=$,this.pred_boxes=L}}class gy extends U{}class wy extends gy{async get_image_embeddings({pixel_values:$}){return await ie(this,{pixel_values:$})}async forward($){if((!$.image_embeddings||!$.image_positional_embeddings)&&($={...$,...await this.get_image_embeddings($)}),!$.input_labels&&$.input_points){const oe=$.input_points.dims.slice(0,-1),_e=oe.reduce((me,Se)=>me*Se,1);$.input_labels=new h.Tensor("int64",new BigInt64Array(_e).fill(1n),oe)}const L={image_embeddings:$.image_embeddings,image_positional_embeddings:$.image_positional_embeddings};return $.input_points&&(L.input_points=$.input_points),$.input_labels&&(L.input_labels=$.input_labels),$.input_boxes&&(L.input_boxes=$.input_boxes),await q(this.sessions.prompt_encoder_mask_decoder,L)}async _call($){return new yy(await super._call($))}}class yy extends pe{constructor({iou_scores:$,pred_masks:L}){super(),this.iou_scores=$,this.pred_masks=L}}class ou extends U{}class My extends ou{}class by extends ou{}class au extends U{}class vy extends au{}class xy extends au{}class ln extends U{}class Ty extends ln{}class Ey extends ln{async _call($){return new Fn(await super._call($))}}class Py extends ln{async _call($){return new Mt(await super._call($))}}class Cy extends ln{async _call($){return new pr(await super._call($))}}class lu extends U{}class Sy extends lu{}class $y extends lu{async _call($){return new pr(await super._call($))}}class ky extends U{}class Iy extends ky{}class jl extends U{}class Ay extends jl{}class Fy extends jl{async _call($){return new Fn(await super._call($))}}class Oy extends jl{async _call($){return new Mt(await super._call($))}}class ua extends U{}class Dy extends ua{}class Ly extends ua{async _call($){return new Fn(await super._call($))}}class zy extends ua{async _call($){return new Mt(await super._call($))}}class By extends ua{async _call($){return new pr(await super._call($))}}class Ul extends U{}class Ry extends Ul{}class Ny extends Ul{async _call($){return new Fn(await super._call($))}}class jy extends Ul{async _call($){return new Mt(await super._call($))}}class rx extends U{}class Uy extends ln{}class Vy extends ln{async _call($){return new Fn(await super._call($))}}class Wy extends ln{async _call($){return new Mt(await super._call($))}}class Ti extends U{}class Gy extends Ti{}class Ky extends Ti{async _call($){return new Fn(await super._call($))}}class Hy extends Ti{async _call($){return new Mt(await super._call($))}}class qy extends Ti{async _call($){return new rb(await super._call($))}}class Qy extends Ti{async _call($){return new pr(await super._call($))}}class Xy extends U{}class Jy extends Xy{}class Vl extends U{}class sx extends Vl{}class Yy extends Vl{}class Zy extends Vl{async generate_speech($,L,{threshold:oe=.5,minlenratio:_e=0,maxlenratio:me=20,vocoder:Se=null}={}){const De={input_ids:$},{encoder_outputs:Ge,encoder_attention_mask:Je}=await ie(this,De),lt=Ge.dims[1]/this.config.reduction_factor,wt=Math.floor(lt*me),st=Math.floor(lt*_e),Et=this.config.num_mel_bins;let at=[],bt=null,ut=null,Tt=0;for(;;){++Tt;const yr=H(!!ut);let Pt;ut?Pt=ut.output_sequence_out:Pt=new h.Tensor("float32",new Float32Array(Et),[1,1,Et]);let Nt={use_cache_branch:yr,output_sequence:Pt,encoder_attention_mask:Je,speaker_embeddings:L,encoder_hidden_states:Ge};this.addPastKeyValues(Nt,bt),ut=await q(this.sessions.decoder_model_merged,Nt),bt=this.getPastKeyValues(ut,bt);const{prob:tr,spectrum:sr}=ut;if(at.push(sr),Tt>=st&&(Array.from(tr.data).filter(Wr=>Wr>=oe).length>0||Tt>=wt))break}const Lt=(0,h.cat)(at),{waveform:Qt}=await q(Se.sessions.model,{spectrogram:Lt});return{spectrogram:Lt,waveform:Qt}}}class eM extends U{constructor(){super(...arguments);re(this,"main_input_name","spectrogram")}}class tM extends U{}class rM extends tM{}class du extends U{}class sM extends du{}class nM extends du{}class cu extends U{}class iM extends cu{}class oM extends cu{}class uu extends U{}class aM extends uu{}class lM extends uu{}class Wl extends U{}class dM extends Wl{}class cM extends Wl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"text_model"})}}class uM extends Wl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"audio_model"})}}class pM extends U{}class pu extends pM{async _call($){return new nb(await super._call($))}}class Gl extends U{}class nx extends Gl{}class hM extends Gl{}class mM extends Gl{}class hu extends U{}class fM extends hu{}class _M extends hu{}class mu extends U{}class gM extends mu{}class wM extends mu{async _call($){return new Mt(await super._call($))}}class fu extends U{}class ix extends fu{}class ox extends fu{}class _u extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}_apply_and_filter_by_delay_pattern_mask(L){const[oe,_e]=L.dims,me=this.config.decoder.num_codebooks,Se=_e-me;let De=0;for(let lt=0;lt0&&Et<=Se&&(L.data[De++]=L.data[lt])}const Ge=Math.floor(oe/me),Je=De/(Ge*me);return new h.Tensor(L.type,L.data.slice(0,De),[Ge,me,Je])}prepare_inputs_for_generation(L,oe,_e){let me=structuredClone(L);for(let De=0;De=Ge&&(me[De][Ge]=BigInt(this.config.decoder.pad_token_id));return _e.guidance_scale!==null&&_e.guidance_scale>1&&(me=me.concat(me)),super.prepare_inputs_for_generation(me,oe,_e)}async generate(L){const oe=await super.generate(L),_e=this._apply_and_filter_by_delay_pattern_mask(oe).unsqueeze_(0),{audio_values:me}=await q(this.sessions.encodec_decode,{audio_codes:_e});return me}}class Kl extends U{}class yM extends Kl{}class MM extends Kl{async _call($){return new Mt(await super._call($))}}class bM extends Kl{}class Hl extends U{}class vM extends Hl{}class xM extends Hl{async _call($){return new Mt(await super._call($))}}class TM extends Hl{}class ql extends U{}class EM extends ql{}class PM extends ql{async _call($){return new Mt(await super._call($))}}class CM extends ql{}class Ql extends U{}class SM extends Ql{}class $M extends Ql{async _call($){return new Mt(await super._call($))}}class kM extends Ql{}class IM extends U{}class AM extends IM{}class FM extends U{}class OM extends FM{constructor(...L){super(...L);re(this,"forward_params",["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"]);this._generation_mode="text"}async forward(L){const oe=this._generation_mode??"text";let _e;if(oe==="text"||!L.past_key_values){const Je=this.sessions.prepare_inputs_embeds,lt=(0,a.pick)(L,Je.inputNames);_e=await q(Je,lt)}else{const Je=this.sessions.gen_img_embeds,lt=(0,a.pick)({image_ids:L.input_ids},Je.inputNames);_e=await q(Je,lt)}const me={...L,..._e},Se=await ae(this,me),De=this.sessions[oe==="text"?"lm_head":"gen_head"];if(!De)throw new Error(`Unable to find "${De}" generation head`);const Ge=await q(De,(0,a.pick)(Se,De.inputNames));return{..._e,...Se,...Ge}}async generate(L){return this._generation_mode="text",super.generate(L)}async generate_images(L){this._generation_mode="image";const oe=(L.inputs??L[this.main_input_name]).dims[1],me=(await super.generate(L)).slice(null,[oe,null]),Se=this.sessions.image_decode,{decoded_image:De}=await q(Se,{generated_tokens:me}),Ge=De.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),Je=[];for(const lt of Ge){const wt=w.RawImage.fromTensor(lt);Je.push(wt)}return Je}}class DM extends pe{constructor({char_logits:$,bpe_logits:L,wp_logits:oe}){super(),this.char_logits=$,this.bpe_logits=L,this.wp_logits=oe}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class LM extends U{}class zM extends LM{async _call($){return new DM(await super._call($))}}class gu extends U{}class BM extends gu{}class RM extends gu{}class wu extends U{}class NM extends wu{}class jM extends wu{}class UM extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","audio_values","past_key_values"])}}class VM extends UM{_merge_input_ids_with_audio_features($){const L=$.audio_features.dims.at(-1),oe=$.audio_features.view(-1,L);return O({audio_token_id:this.config.ignore_index,...$,audio_features:oe})}}class Xl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class WM extends pe{constructor({audio_codes:$}){super(),this.audio_codes=$}}class GM extends pe{constructor({audio_values:$}){super(),this.audio_values=$}}class KM extends Xl{async encode($){return new WM(await q(this.sessions.encoder_model,$))}async decode($){return new GM(await q(this.sessions.decoder_model,$))}}class HM extends Xl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class qM extends Xl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Jl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class QM extends pe{constructor({audio_codes:$}){super(),this.audio_codes=$}}class XM extends pe{constructor({audio_values:$}){super(),this.audio_values=$}}class JM extends Jl{async encode($){return new QM(await q(this.sessions.encoder_model,$))}async decode($){return new XM(await q(this.sessions.decoder_model,$))}}class YM extends Jl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class ZM extends Jl{static async from_pretrained($,L={}){return super.from_pretrained($,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class It{static async from_pretrained($,{progress_callback:L=null,config:oe=null,cache_dir:_e=null,local_files_only:me=!1,revision:Se="main",model_file_name:De=null,subfolder:Ge="onnx",device:Je=null,dtype:lt=null,use_external_data_format:wt=null,session_options:st={}}={}){const Et={progress_callback:L,config:oe,cache_dir:_e,local_files_only:me,revision:Se,model_file_name:De,subfolder:Ge,device:Je,dtype:lt,use_external_data_format:wt,session_options:st};if(Et.config=await s.AutoConfig.from_pretrained($,Et),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const at=Et.config.model_type;for(const bt of this.MODEL_CLASS_MAPPINGS){let ut=bt.get(at);if(!ut){for(const Tt of bt.values())if(Tt[0]===at){ut=Tt;break}if(!ut)continue}return await ut[1].from_pretrained($,Et)}if(this.BASE_IF_FAIL)return E0.has(at)||console.warn(`Unknown model class "${at}", attempting to construct from base class.`),await U.from_pretrained($,Et);throw Error(`Unsupported model type: ${at}`)}}re(It,"MODEL_CLASS_MAPPINGS",null),re(It,"BASE_IF_FAIL",!1);const ax=new Map([["bert",["BertModel",Fe]],["modernbert",["ModernBertModel",Z]],["nomic_bert",["NomicBertModel",ve]],["roformer",["RoFormerModel",Ae]],["electra",["ElectraModel",cs]],["esm",["EsmModel",Ys]],["convbert",["ConvBertModel",nr]],["camembert",["CamembertModel",us]],["deberta",["DebertaModel",Be]],["deberta-v2",["DebertaV2Model",ps]],["mpnet",["MPNetModel",Tn]],["albert",["AlbertModel",Cn]],["distilbert",["DistilBertModel",Ps]],["roberta",["RobertaModel",ur]],["xlm",["XLMModel",tn]],["xlm-roberta",["XLMRobertaModel",Ba]],["clap",["ClapModel",dM]],["clip",["CLIPModel",Zi]],["clipseg",["CLIPSegModel",nn]],["chinese_clip",["ChineseCLIPModel",rl]],["siglip",["SiglipModel",Ya]],["jina_clip",["JinaCLIPModel",sl]],["mobilebert",["MobileBertModel",br]],["squeezebert",["SqueezeBertModel",cr]],["wav2vec2",["Wav2Vec2Model",Ty]],["wav2vec2-bert",["Wav2Vec2BertModel",Ry]],["unispeech",["UniSpeechModel",Ay]],["unispeech-sat",["UniSpeechSatModel",Dy]],["hubert",["HubertModel",Uy]],["wavlm",["WavLMModel",Gy]],["audio-spectrogram-transformer",["ASTModel",ja]],["vits",["VitsModel",pu]],["pyannote",["PyAnnoteModel",Sy]],["wespeaker-resnet",["WeSpeakerResNetModel",Iy]],["detr",["DetrModel",$l]],["rt_detr",["RTDetrModel",Al]],["table-transformer",["TableTransformerModel",Dl]],["vit",["ViTModel",Vo]],["ijepa",["IJepaModel",Go]],["pvt",["PvtModel",Qo]],["vit_msn",["ViTMSNModel",ul]],["vit_mae",["ViTMAEModel",cl]],["groupvit",["GroupViTModel",ml]],["fastvit",["FastViTModel",fl]],["mobilevit",["MobileViTModel",yl]],["mobilevitv2",["MobileViTV2Model",bl]],["owlvit",["OwlViTModel",xl]],["owlv2",["Owlv2Model",El]],["beit",["BeitModel",Cl]],["deit",["DeiTModel",Bl]],["hiera",["HieraModel",ca]],["convnext",["ConvNextModel",ny]],["convnextv2",["ConvNextV2Model",oy]],["dinov2",["Dinov2Model",ly]],["dinov2_with_registers",["Dinov2WithRegistersModel",cy]],["resnet",["ResNetModel",b]],["swin",["SwinModel",W]],["swin2sr",["Swin2SRModel",ze]],["donut-swin",["DonutSwinModel",sy]],["yolos",["YolosModel",my]],["dpt",["DPTModel",gt]],["glpn",["GLPNModel",ey]],["hifigan",["SpeechT5HifiGan",eM]],["efficientnet",["EfficientNetModel",gM]],["decision_transformer",["DecisionTransformerModel",AM]],["patchtst",["PatchTSTForPrediction",BM]],["patchtsmixer",["PatchTSMixerForPrediction",NM]],["mobilenet_v1",["MobileNetV1Model",yM]],["mobilenet_v2",["MobileNetV2Model",vM]],["mobilenet_v3",["MobileNetV3Model",EM]],["mobilenet_v4",["MobileNetV4Model",SM]],["maskformer",["MaskFormerModel",Yw]],["mgp-str",["MgpstrForSceneTextRecognition",zM]],["style_text_to_speech_2",["StyleTextToSpeech2Model",Jy]]]),lx=new Map([["t5",["T5Model",de]],["longt5",["LongT5Model",We]],["mt5",["MT5Model",Ze]],["bart",["BartModel",kt]],["mbart",["MBartModel",vr]],["marian",["MarianModel",My]],["whisper",["WhisperModel",Va]],["m2m_100",["M2M100Model",vy]],["blenderbot",["BlenderbotModel",Gt]],["blenderbot-small",["BlenderbotSmallModel",Zr]]]),dx=new Map([["mimi",["MimiModel",KM]],["dac",["DacModel",JM]]]),cx=new Map([["bloom",["BloomModel",zo]],["jais",["JAISModel",ro]],["gpt2",["GPT2Model",ol]],["gptj",["GPTJModel",lo]],["gpt_bigcode",["GPTBigCodeModel",ll]],["gpt_neo",["GPTNeoModel",no]],["gpt_neox",["GPTNeoXModel",al]],["codegen",["CodeGenModel",In]],["llama",["LlamaModel",ri]],["exaone",["ExaoneModel",mo]],["olmo",["OlmoModel",_o]],["olmo2",["Olmo2Model",wo]],["mobilellm",["MobileLLMModel",ft]],["granite",["GraniteModel",yo]],["cohere",["CohereModel",bo]],["gemma",["GemmaModel",xo]],["gemma2",["Gemma2Model",Eo]],["helium",["HeliumModel",po]],["glm",["GlmModel",ho]],["openelm",["OpenELMModel",Co]],["qwen2",["Qwen2Model",$o]],["phi",["PhiModel",Fo]],["phi3",["Phi3Model",Do]],["mpt",["MptModel",Ro]],["opt",["OPTModel",jo]],["mistral",["MistralModel",sM]],["starcoder2",["Starcoder2Model",iM]],["falcon",["FalconModel",aM]],["stablelm",["StableLmModel",fM]]]),yu=new Map([["speecht5",["SpeechT5ForSpeechToText",Yy]],["whisper",["WhisperForConditionalGeneration",Ki]],["lite-whisper",["LiteWhisperForConditionalGeneration",Wa]],["moonshine",["MoonshineForConditionalGeneration",Ga]]]),e0=new Map([["speecht5",["SpeechT5ForTextToSpeech",Zy]]]),t0=new Map([["vits",["VitsModel",pu]],["musicgen",["MusicgenForConditionalGeneration",_u]]]),r0=new Map([["bert",["BertForSequenceClassification",Le]],["modernbert",["ModernBertForSequenceClassification",ee]],["roformer",["RoFormerForSequenceClassification",Qe]],["electra",["ElectraForSequenceClassification",jr]],["esm",["EsmForSequenceClassification",en]],["convbert",["ConvBertForSequenceClassification",dr]],["camembert",["CamembertForSequenceClassification",Ts]],["deberta",["DebertaForSequenceClassification",it]],["deberta-v2",["DebertaV2ForSequenceClassification",Er]],["mpnet",["MPNetForSequenceClassification",En]],["albert",["AlbertForSequenceClassification",ue]],["distilbert",["DistilBertForSequenceClassification",qs]],["roberta",["RobertaForSequenceClassification",Jt]],["xlm",["XLMForSequenceClassification",La]],["xlm-roberta",["XLMRobertaForSequenceClassification",Sn]],["bart",["BartForSequenceClassification",Ot]],["mbart",["MBartForSequenceClassification",Yr]],["mobilebert",["MobileBertForSequenceClassification",zs]],["squeezebert",["SqueezeBertForSequenceClassification",Rs]]]),s0=new Map([["bert",["BertForTokenClassification",Ne]],["modernbert",["ModernBertForTokenClassification",ce]],["roformer",["RoFormerForTokenClassification",Xe]],["electra",["ElectraForTokenClassification",dt]],["esm",["EsmForTokenClassification",Lr]],["convbert",["ConvBertForTokenClassification",ds]],["camembert",["CamembertForTokenClassification",Es]],["deberta",["DebertaForTokenClassification",rr]],["deberta-v2",["DebertaV2ForTokenClassification",ms]],["mpnet",["MPNetForTokenClassification",Bs]],["distilbert",["DistilBertForTokenClassification",Qs]],["roberta",["RobertaForTokenClassification",qt]],["xlm",["XLMForTokenClassification",Vi]],["xlm-roberta",["XLMRobertaForTokenClassification",Na]]]),Mu=new Map([["t5",["T5ForConditionalGeneration",he]],["longt5",["LongT5ForConditionalGeneration",qe]],["mt5",["MT5ForConditionalGeneration",ht]],["bart",["BartForConditionalGeneration",Wt]],["mbart",["MBartForConditionalGeneration",_r]],["marian",["MarianMTModel",by]],["m2m_100",["M2M100ForConditionalGeneration",xy]],["blenderbot",["BlenderbotForConditionalGeneration",Zt]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",ws]]]),bu=new Map([["bloom",["BloomForCausalLM",Bo]],["gpt2",["GPT2LMHeadModel",Yn]],["jais",["JAISLMHeadModel",so]],["gptj",["GPTJForCausalLM",kn]],["gpt_bigcode",["GPTBigCodeForCausalLM",co]],["gpt_neo",["GPTNeoForCausalLM",io]],["gpt_neox",["GPTNeoXForCausalLM",oo]],["codegen",["CodeGenForCausalLM",Vr]],["llama",["LlamaForCausalLM",uo]],["exaone",["ExaoneForCausalLM",mt]],["olmo",["OlmoForCausalLM",go]],["olmo2",["Olmo2ForCausalLM",li]],["mobilellm",["MobileLLMForCausalLM",fo]],["granite",["GraniteForCausalLM",Mo]],["cohere",["CohereForCausalLM",vo]],["gemma",["GemmaForCausalLM",To]],["gemma2",["Gemma2ForCausalLM",Po]],["helium",["HeliumForCausalLM",ni]],["glm",["GlmForCausalLM",_t]],["openelm",["OpenELMForCausalLM",So]],["qwen2",["Qwen2ForCausalLM",ko]],["phi",["PhiForCausalLM",Oo]],["phi3",["Phi3ForCausalLM",Lo]],["mpt",["MptForCausalLM",No]],["opt",["OPTForCausalLM",Uo]],["mbart",["MBartForCausalLM",xr]],["mistral",["MistralForCausalLM",nM]],["starcoder2",["Starcoder2ForCausalLM",oM]],["falcon",["FalconForCausalLM",lM]],["trocr",["TrOCRForCausalLM",rM]],["stablelm",["StableLmForCausalLM",_M]],["phi3_v",["Phi3VForCausalLM",Ns]]]),ux=new Map([["multi_modality",["MultiModalityCausalLM",OM]]]),n0=new Map([["bert",["BertForMaskedLM",Ie]],["modernbert",["ModernBertForMaskedLM",z]],["roformer",["RoFormerForMaskedLM",Ue]],["electra",["ElectraForMaskedLM",Os]],["esm",["EsmForMaskedLM",Zs]],["convbert",["ConvBertForMaskedLM",jt]],["camembert",["CamembertForMaskedLM",xs]],["deberta",["DebertaForMaskedLM",et]],["deberta-v2",["DebertaV2ForMaskedLM",hs]],["mpnet",["MPNetForMaskedLM",zr]],["albert",["AlbertForMaskedLM",j]],["distilbert",["DistilBertForMaskedLM",Js]],["roberta",["RobertaForMaskedLM",Rt]],["xlm",["XLMWithLMHeadModel",rn]],["xlm-roberta",["XLMRobertaForMaskedLM",Ra]],["mobilebert",["MobileBertForMaskedLM",Ls]],["squeezebert",["SqueezeBertForMaskedLM",fr]]]),i0=new Map([["bert",["BertForQuestionAnswering",Ve]],["roformer",["RoFormerForQuestionAnswering",ct]],["electra",["ElectraForQuestionAnswering",qr]],["convbert",["ConvBertForQuestionAnswering",Fs]],["camembert",["CamembertForQuestionAnswering",Ds]],["deberta",["DebertaForQuestionAnswering",zt]],["deberta-v2",["DebertaV2ForQuestionAnswering",fs]],["mpnet",["MPNetForQuestionAnswering",Ar]],["albert",["AlbertForQuestionAnswering",F]],["distilbert",["DistilBertForQuestionAnswering",Xs]],["roberta",["RobertaForQuestionAnswering",er]],["xlm",["XLMForQuestionAnswering",za]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Wi]],["mobilebert",["MobileBertForQuestionAnswering",Ir]],["squeezebert",["SqueezeBertForQuestionAnswering",Pn]]]),vu=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]]]),o0=new Map([["llava",["LlavaForConditionalGeneration",Kn]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",Ha]],["moondream1",["Moondream1ForConditionalGeneration",qa]],["florence2",["Florence2ForConditionalGeneration",Qi]],["qwen2-vl",["Qwen2VLForConditionalGeneration",Ao]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]],["paligemma",["PaliGemmaForConditionalGeneration",Ji]]]),a0=new Map([["ultravox",["UltravoxModel",VM]]]),px=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]]]),l0=new Map([["vit",["ViTForImageClassification",Wo]],["ijepa",["IJepaForImageClassification",Ko]],["pvt",["PvtForImageClassification",Xo]],["vit_msn",["ViTMSNForImageClassification",pl]],["fastvit",["FastViTForImageClassification",_l]],["mobilevit",["MobileViTForImageClassification",Ml]],["mobilevitv2",["MobileViTV2ForImageClassification",vl]],["beit",["BeitForImageClassification",Sl]],["deit",["DeiTForImageClassification",Rl]],["hiera",["HieraForImageClassification",c]],["convnext",["ConvNextForImageClassification",iy]],["convnextv2",["ConvNextV2ForImageClassification",ay]],["dinov2",["Dinov2ForImageClassification",dy]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",uy]],["resnet",["ResNetForImageClassification",C]],["swin",["SwinForImageClassification",se]],["segformer",["SegformerForImageClassification",hM]],["efficientnet",["EfficientNetForImageClassification",wM]],["mobilenet_v1",["MobileNetV1ForImageClassification",MM]],["mobilenet_v2",["MobileNetV2ForImageClassification",xM]],["mobilenet_v3",["MobileNetV3ForImageClassification",PM]],["mobilenet_v4",["MobileNetV4ForImageClassification",$M]]]),d0=new Map([["detr",["DetrForObjectDetection",kl]],["rt_detr",["RTDetrForObjectDetection",Fl]],["table-transformer",["TableTransformerForObjectDetection",Ll]],["yolos",["YolosForObjectDetection",fy]]]),c0=new Map([["owlvit",["OwlViTForObjectDetection",Tl]],["owlv2",["Owlv2ForObjectDetection",Pl]],["grounding-dino",["GroundingDinoForObjectDetection",hy]]]),Ei=new Map([["detr",["DetrForSegmentation",na]],["clipseg",["CLIPSegForImageSegmentation",eo]]]),u0=new Map([["segformer",["SegformerForSemanticSegmentation",mM]],["sapiens",["SapiensForSemanticSegmentation",Hw]],["swin",["SwinForSemanticSegmentation",ye]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",bM]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",TM]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",CM]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",kM]]]),p0=new Map([["detr",["DetrForSegmentation",na]],["maskformer",["MaskFormerForInstanceSegmentation",Zw]]]),h0=new Map([["sam",["SamModel",wy]]]),m0=new Map([["wav2vec2",["Wav2Vec2ForCTC",Ey]],["wav2vec2-bert",["Wav2Vec2BertForCTC",Ny]],["unispeech",["UniSpeechForCTC",Fy]],["unispeech-sat",["UniSpeechSatForCTC",Ly]],["wavlm",["WavLMForCTC",Ky]],["hubert",["HubertForCTC",Vy]]]),f0=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Py]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",jy]],["unispeech",["UniSpeechForSequenceClassification",Oy]],["unispeech-sat",["UniSpeechSatForSequenceClassification",zy]],["wavlm",["WavLMForSequenceClassification",Hy]],["hubert",["HubertForSequenceClassification",Wy]],["audio-spectrogram-transformer",["ASTForAudioClassification",Ua]]]),_0=new Map([["wavlm",["WavLMForXVector",qy]]]),g0=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",By]],["wavlm",["WavLMForAudioFrameClassification",Qy]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Cy]],["pyannote",["PyAnnoteForAudioFrameClassification",$y]]]),w0=new Map([["vitmatte",["VitMatteForImageMatting",wl]]]),hx=new Map([["patchtst",["PatchTSTForPrediction",RM]],["patchtsmixer",["PatchTSMixerForPrediction",jM]]]),y0=new Map([["swin2sr",["Swin2SRForImageSuperResolution",Ye]]]),M0=new Map([["dpt",["DPTForDepthEstimation",Bt]],["depth_anything",["DepthAnythingForDepthEstimation",an]],["glpn",["GLPNForDepthEstimation",ty]],["sapiens",["SapiensForDepthEstimation",qw]],["depth_pro",["DepthProForDepthEstimation",Jw]]]),b0=new Map([["sapiens",["SapiensForNormalEstimation",Qw]]]),v0=new Map([["vitpose",["VitPoseForPoseEstimation",qo]]]),x0=new Map([["clip",["CLIPVisionModelWithProjection",Qn]],["siglip",["SiglipVisionModel",el]],["jina_clip",["JinaCLIPVisionModel",il]]]),T0=[[ax,x.EncoderOnly],[lx,x.EncoderDecoder],[cx,x.DecoderOnly],[dx,x.AutoEncoder],[r0,x.EncoderOnly],[s0,x.EncoderOnly],[Mu,x.Seq2Seq],[yu,x.Seq2Seq],[bu,x.DecoderOnly],[ux,x.MultiModality],[n0,x.EncoderOnly],[i0,x.EncoderOnly],[vu,x.Vision2Seq],[o0,x.ImageTextToText],[a0,x.AudioTextToText],[l0,x.EncoderOnly],[Ei,x.EncoderOnly],[p0,x.EncoderOnly],[u0,x.EncoderOnly],[w0,x.EncoderOnly],[hx,x.EncoderOnly],[y0,x.EncoderOnly],[M0,x.EncoderOnly],[b0,x.EncoderOnly],[v0,x.EncoderOnly],[d0,x.EncoderOnly],[c0,x.EncoderOnly],[h0,x.MaskGeneration],[m0,x.EncoderOnly],[f0,x.EncoderOnly],[e0,x.Seq2Seq],[t0,x.EncoderOnly],[_0,x.EncoderOnly],[g0,x.EncoderOnly],[x0,x.EncoderOnly]];for(const[T,$]of T0)for(const[L,oe]of T.values())g.set(L,$),E.set(oe,L),M.set(L,oe);const mx=[["MusicgenForConditionalGeneration",_u,x.Musicgen],["Phi3VForCausalLM",Ns,x.Phi3V],["CLIPTextModelWithProjection",Ja,x.EncoderOnly],["SiglipTextModel",Za,x.EncoderOnly],["JinaCLIPTextModel",nl,x.EncoderOnly],["ClapTextModelWithProjection",cM,x.EncoderOnly],["ClapAudioModelWithProjection",uM,x.EncoderOnly],["DacEncoderModel",YM,x.EncoderOnly],["DacDecoderModel",ZM,x.EncoderOnly],["MimiEncoderModel",HM,x.EncoderOnly],["MimiDecoderModel",qM,x.EncoderOnly]];for(const[T,$,L]of mx)g.set(T,L),E.set($,T),M.set(T,$);const E0=new Map([["modnet",Ei],["birefnet",Ei],["isnet",Ei],["ben",Ei]]);for(const[T,$]of E0.entries())$.set(T,["PreTrainedModel",U]),g.set(T,x.EncoderOnly),E.set(U,T),M.set(T,U);class xu extends It{}re(xu,"MODEL_CLASS_MAPPINGS",T0.map($=>$[0])),re(xu,"BASE_IF_FAIL",!0);class P0 extends It{}re(P0,"MODEL_CLASS_MAPPINGS",[r0]);class C0 extends It{}re(C0,"MODEL_CLASS_MAPPINGS",[s0]);class S0 extends It{}re(S0,"MODEL_CLASS_MAPPINGS",[Mu]);class $0 extends It{}re($0,"MODEL_CLASS_MAPPINGS",[yu]);class k0 extends It{}re(k0,"MODEL_CLASS_MAPPINGS",[e0]);class I0 extends It{}re(I0,"MODEL_CLASS_MAPPINGS",[t0]);class A0 extends It{}re(A0,"MODEL_CLASS_MAPPINGS",[bu]);class F0 extends It{}re(F0,"MODEL_CLASS_MAPPINGS",[n0]);class O0 extends It{}re(O0,"MODEL_CLASS_MAPPINGS",[i0]);class D0 extends It{}re(D0,"MODEL_CLASS_MAPPINGS",[vu]);class L0 extends It{}re(L0,"MODEL_CLASS_MAPPINGS",[l0]);class z0 extends It{}re(z0,"MODEL_CLASS_MAPPINGS",[Ei]);class B0 extends It{}re(B0,"MODEL_CLASS_MAPPINGS",[u0]);class R0 extends It{}re(R0,"MODEL_CLASS_MAPPINGS",[p0]);class N0 extends It{}re(N0,"MODEL_CLASS_MAPPINGS",[d0]);class j0 extends It{}re(j0,"MODEL_CLASS_MAPPINGS",[c0]);class U0 extends It{}re(U0,"MODEL_CLASS_MAPPINGS",[h0]);class V0 extends It{}re(V0,"MODEL_CLASS_MAPPINGS",[m0]);class W0 extends It{}re(W0,"MODEL_CLASS_MAPPINGS",[f0]);class G0 extends It{}re(G0,"MODEL_CLASS_MAPPINGS",[_0]);class K0 extends It{}re(K0,"MODEL_CLASS_MAPPINGS",[g0]);class H0 extends It{}re(H0,"MODEL_CLASS_MAPPINGS",[px]);class q0 extends It{}re(q0,"MODEL_CLASS_MAPPINGS",[w0]);class Q0 extends It{}re(Q0,"MODEL_CLASS_MAPPINGS",[y0]);class X0 extends It{}re(X0,"MODEL_CLASS_MAPPINGS",[M0]);class J0 extends It{}re(J0,"MODEL_CLASS_MAPPINGS",[b0]);class Y0 extends It{}re(Y0,"MODEL_CLASS_MAPPINGS",[v0]);class Z0 extends It{}re(Z0,"MODEL_CLASS_MAPPINGS",[x0]);class eb extends It{}re(eb,"MODEL_CLASS_MAPPINGS",[o0]);class tb extends It{}re(tb,"MODEL_CLASS_MAPPINGS",[a0]);class fx extends pe{constructor({logits:$,past_key_values:L,encoder_outputs:oe,decoder_attentions:_e=null,cross_attentions:me=null}){super(),this.logits=$,this.past_key_values=L,this.encoder_outputs=oe,this.decoder_attentions=_e,this.cross_attentions=me}}class Mt extends pe{constructor({logits:$,...L}){super(),this.logits=$;const oe=Object.values(L);oe.length>0&&(this.attentions=oe)}}class rb extends pe{constructor({logits:$,embeddings:L}){super(),this.logits=$,this.embeddings=L}}class pr extends pe{constructor({logits:$}){super(),this.logits=$}}class wr extends pe{constructor({logits:$}){super(),this.logits=$}}class Pr extends pe{constructor({start_logits:$,end_logits:L}){super(),this.start_logits=$,this.end_logits=L}}class Fn extends pe{constructor({logits:$}){super(),this.logits=$}}class _x extends pe{constructor({logits:$,past_key_values:L}){super(),this.logits=$,this.past_key_values=L}}class sb extends pe{constructor({alphas:$}){super(),this.alphas=$}}class nb extends pe{constructor({waveform:$,spectrogram:L}){super(),this.waveform=$,this.spectrogram=L}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,d=(0,i.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);for(let p=0;p{t.r(r),t.d(r,{AutoFeatureExtractor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js");t("./src/base/feature_extraction_utils.js");var n=t("./src/models/feature_extractors.js");class o{static async from_pretrained(l,d={}){const p=await(0,i.getModelJSON)(l,s.FEATURE_EXTRACTOR_NAME,!0,d),u=p.feature_extractor_type,h=n[u];if(!h)throw new Error(`Unknown feature_extractor_type: '${u}'. Please report this at ${s.GITHUB_ISSUE_URL}.`);return new h(p)}}},"./src/models/auto/image_processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoImageProcessor:()=>a});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/image_processors_utils.js"),o=t("./src/models/image_processors.js");class a{static async from_pretrained(d,p={}){const u=await(0,i.getModelJSON)(d,s.IMAGE_PROCESSOR_NAME,!0,p),h=u.image_processor_type??u.feature_extractor_type;let w=o[h];return w||(h!==void 0&&console.warn(`Image processor type '${h}' not found, assuming base ImageProcessor. Please report this at ${s.GITHUB_ISSUE_URL}.`),w=n.ImageProcessor),new w(u)}}},"./src/models/auto/processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoProcessor:()=>d});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/processing_utils.js"),o=t("./src/models/processors.js"),a=t("./src/models/image_processors.js"),l=t("./src/models/feature_extractors.js");class d{static async from_pretrained(u,h={}){const w=await(0,i.getModelJSON)(u,s.IMAGE_PROCESSOR_NAME,!0,h),{image_processor_type:_,feature_extractor_type:P,processor_class:A}=w;if(A&&o[A])return o[A].from_pretrained(u,h);if(!_&&!P)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const v={};if(_){const S=a[_];if(!S)throw new Error(`Unknown image_processor_type: '${_}'.`);v.image_processor=new S(w)}if(P){const S=a[P];if(S)v.image_processor=new S(w);else{const x=l[P];if(!x)throw new Error(`Unknown feature_extractor_type: '${P}'.`);v.feature_extractor=new x(w)}}const y={};return new n.Processor(y,v)}}},"./src/models/beit/image_processing_beit.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(e,r,t)=>{t.r(r),t.d(r,{BitImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(e,r,t)=>{t.r(r),t.d(r,{ChineseCLIPFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(e,r,t)=>{t.r(r),t.d(r,{ClapFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a),this.mel_filters=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(a,l,d,p){let u;const h=a.length-l;if(h>0)if(d==="rand_trunc"){const w=Math.floor(Math.random()*(h+1));a=a.subarray(w,w+l),u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${d}" not implemented`);else{if(h<0){let w=new Float64Array(l);if(w.set(a),p==="repeat")for(let _=a.length;_{t.r(r),t.d(r,{CLIPFeatureExtractor:()=>n,CLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/convnext/image_processing_convnext.js":(e,r,t)=>{t.r(r),t.d(r,{ConvNextFeatureExtractor:()=>n,ConvNextImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(a){super(a),this.crop_pct=this.config.crop_pct??224/256}async resize(a){var d;const l=(d=this.size)==null?void 0:d.shortest_edge;if(l===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(l<384){const p=Math.floor(l/this.crop_pct),[u,h]=this.get_resize_output_image_size(a,{shortest_edge:p});a=await a.resize(u,h,{resample:this.resample}),a=await a.center_crop(l,l)}else a=await a.resize(l,l,{resample:this.resample});return a}}class n extends i{}},"./src/models/dac/feature_extraction_dac.js":(e,r,t)=>{t.r(r),t.d(r,{DacFeatureExtractor:()=>i});var s=t("./src/models/encodec/feature_extraction_encodec.js");class i extends s.EncodecFeatureExtractor{}},"./src/models/deit/image_processing_deit.js":(e,r,t)=>{t.r(r),t.d(r,{DeiTFeatureExtractor:()=>n,DeiTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/detr/image_processing_detr.js":(e,r,t)=>{t.r(r),t.d(r,{DetrFeatureExtractor:()=>o,DetrImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(l){const d=await super._call(l),p=[d.pixel_values.dims[0],64,64],u=(0,i.full)(p,1n);return{...d,pixel_mask:u}}post_process_object_detection(...l){return(0,s.post_process_object_detection)(...l)}post_process_panoptic_segmentation(...l){return(0,s.post_process_panoptic_segmentation)(...l)}post_process_instance_segmentation(...l){return(0,s.post_process_instance_segmentation)(...l)}}class o extends n{}},"./src/models/donut/image_processing_donut.js":(e,r,t)=>{t.r(r),t.d(r,{DonutFeatureExtractor:()=>n,DonutImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{pad_image(a,l,d,p={}){const[u,h,w]=l;let _=this.image_mean;Array.isArray(this.image_mean)||(_=new Array(w).fill(_));let P=this.image_std;Array.isArray(P)||(P=new Array(w).fill(_));const A=_.map((v,y)=>-v/P[y]);return super.pad_image(a,l,d,{center:!0,constant_values:A,...p})}}class n extends i{}},"./src/models/dpt/image_processing_dpt.js":(e,r,t)=>{t.r(r),t.d(r,{DPTFeatureExtractor:()=>n,DPTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/efficientnet/image_processing_efficientnet.js":(e,r,t)=>{t.r(r),t.d(r,{EfficientNetImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super(o),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(a=>a*a))}}},"./src/models/encodec/feature_extraction_encodec.js":(e,r,t)=>{t.r(r),t.d(r,{EncodecFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"EncodecFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=this.config.feature_size;if(a.length%l!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${l}).`);const d=[1,l,a.length/l];return{input_values:new i.Tensor("float32",a,d)}}}},"./src/models/feature_extractors.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>s.ASTFeatureExtractor,ClapFeatureExtractor:()=>n.ClapFeatureExtractor,DacFeatureExtractor:()=>o.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,ImageFeatureExtractor:()=>_.ImageProcessor,MoonshineFeatureExtractor:()=>a.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>l.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>d.SeamlessM4TFeatureExtractor,SpeechT5FeatureExtractor:()=>p.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>u.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>h.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>w.WhisperFeatureExtractor});var s=t("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),i=t("./src/models/encodec/feature_extraction_encodec.js"),n=t("./src/models/clap/feature_extraction_clap.js"),o=t("./src/models/dac/feature_extraction_dac.js"),a=t("./src/models/moonshine/feature_extraction_moonshine.js"),l=t("./src/models/pyannote/feature_extraction_pyannote.js"),d=t("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),p=t("./src/models/speecht5/feature_extraction_speecht5.js"),u=t("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),h=t("./src/models/wespeaker/feature_extraction_wespeaker.js"),w=t("./src/models/whisper/feature_extraction_whisper.js"),_=t("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(e,r,t)=>{t.r(r),t.d(r,{Florence2Processor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{constructor(l,d){super(l,d);const{tasks_answer_post_processing_type:p,task_prompts_without_inputs:u,task_prompts_with_input:h}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(p??{})),this.task_prompts_without_inputs=new Map(Object.entries(u??{})),this.task_prompts_with_input=new Map(Object.entries(h??{})),this.regexes={quad_boxes:/(.+?)/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(l){typeof l=="string"&&(l=[l]);const d=[];for(const p of l)if(this.task_prompts_without_inputs.has(p))d.push(this.task_prompts_without_inputs.get(p));else{for(const[u,h]of this.task_prompts_with_input)if(p.includes(u)){d.push(h.replaceAll("{input}",p).replaceAll(u,""));break}d.length!==l.length&&d.push(p)}return d}post_process_generation(l,d,p){const u=this.tasks_answer_post_processing_type.get(d)??"pure_text";l=l.replaceAll("","").replaceAll("","");let h;switch(u){case"pure_text":h=l;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const w=u==="ocr"?"quad_boxes":"bboxes",_=l.matchAll(this.regexes[w]),P=[],A=[];for(const[v,y,...S]of _)P.push(y?y.trim():P.at(-1)??""),A.push(S.map((x,g)=>(Number(x)+.5)/this.size_per_bin*p[g%2]));h={labels:P,[w]:A};break;default:throw new Error(`Task "${d}" (of type "${u}") not yet implemented.`)}return{[d]:h}}async _call(l,d=null,p={}){if(!l&&!d)throw new Error("Either text or images must be provided");const u=await this.image_processor(l,p),h=d?this.tokenizer(d,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/glpn/image_processing_glpn.js":(e,r,t)=>{t.r(r),t.d(r,{GLPNFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/grounding_dino/image_processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(a){const l=await super._call(a),d=l.pixel_values.dims,p=(0,i.ones)([d[0],d[2],d[3]]);return{...l,pixel_mask:p}}}},"./src/models/grounding_dino/processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/image_processors_utils.js");function a(d,p){const h=d.dims.at(-1)-1,w=d.tolist();w.fill(!1,0,1),w.fill(!1,h);const _=p.tolist();return w.map((P,A)=>P?A:null).filter(P=>P!==null).map(P=>_[P])}class l extends s.Processor{async _call(p,u,h={}){const w=p?await this.image_processor(p,h):{};return{...u?this.tokenizer(u,h):{},...w}}post_process_grounded_object_detection(p,u,{box_threshold:h=.25,text_threshold:w=.25,target_sizes:_=null}={}){const{logits:P,pred_boxes:A}=p,v=P.dims[0];if(_!==null&&_.length!==v)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const y=P.dims.at(1),S=P.sigmoid(),x=S.max(-1).tolist(),g=A.tolist().map(E=>E.map(k=>(0,o.center_to_corners_format)(k))),M=[];for(let E=0;EV.map((Y,H)=>Y*k[(H+1)%2])));const B=x[E],R=[],J=[],q=[];for(let V=0;V{t.r(r),t.d(r,{Idefics3ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{constructor(a){super(a),this.do_image_splitting=a.do_image_splitting??!0,this.max_image_size=a.max_image_size}get_resize_for_vision_encoder(a,l){let[d,p]=a.dims.slice(-2);const u=p/d;return p>=d?(p=Math.ceil(p/l)*l,d=Math.floor(p/u),d=Math.ceil(d/l)*l):(d=Math.ceil(d/l)*l,p=Math.floor(d*u),p=Math.ceil(p/l)*l),{height:d,width:p}}async _call(a,{do_image_splitting:l=null,return_row_col_info:d=!1}={}){let p;if(!Array.isArray(a))p=[[a]];else{if(a.length===0||!a[0])throw new Error("No images provided.");Array.isArray(a[0])?p=a:p=[a]}let u=[],h=[],w=[];const _=[],P=[];for(const E of p){let k=await Promise.all(E.map(J=>this.preprocess(J)));_.push(...k.map(J=>J.original_size)),P.push(...k.map(J=>J.reshaped_input_size)),k.forEach(J=>J.pixel_values.unsqueeze_(0));const{longest_edge:B}=this.max_image_size;let R;if(l??this.do_image_splitting){let J=new Array(k.length),q=new Array(k.length);R=await Promise.all(k.map(async(V,Y)=>{const H=this.get_resize_for_vision_encoder(V.pixel_values,B),Q=await(0,i.interpolate_4d)(V.pixel_values,{size:[H.height,H.width]}),{frames:ie,num_splits_h:le,num_splits_w:ae}=await this.split_image(Q,this.max_image_size);return 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Y=0;Y{t.r(r),t.d(r,{BeitFeatureExtractor:()=>s.BeitFeatureExtractor,BitImageProcessor:()=>i.BitImageProcessor,CLIPFeatureExtractor:()=>o.CLIPFeatureExtractor,CLIPImageProcessor:()=>o.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>n.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>a.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>a.ConvNextImageProcessor,DPTFeatureExtractor:()=>u.DPTFeatureExtractor,DPTImageProcessor:()=>u.DPTImageProcessor,DeiTFeatureExtractor:()=>l.DeiTFeatureExtractor,DeiTImageProcessor:()=>l.DeiTImageProcessor,DetrFeatureExtractor:()=>d.DetrFeatureExtractor,DetrImageProcessor:()=>d.DetrImageProcessor,DonutFeatureExtractor:()=>p.DonutFeatureExtractor,DonutImageProcessor:()=>p.DonutImageProcessor,EfficientNetImageProcessor:()=>h.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>w.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>_.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>P.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>v.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>y.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>S.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>x.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>x.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>g.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>g.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>M.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>M.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>E.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>E.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>k.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>k.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>B.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>B.MobileViTImageProcessor,NougatImageProcessor:()=>R.NougatImageProcessor,OwlViTFeatureExtractor:()=>q.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>q.OwlViTImageProcessor,Owlv2ImageProcessor:()=>J.Owlv2ImageProcessor,Phi3VImageProcessor:()=>V.Phi3VImageProcessor,PvtImageProcessor:()=>Y.PvtImageProcessor,Qwen2VLImageProcessor:()=>H.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>Q.RTDetrImageProcessor,SamImageProcessor:()=>ie.SamImageProcessor,SegformerFeatureExtractor:()=>le.SegformerFeatureExtractor,SegformerImageProcessor:()=>le.SegformerImageProcessor,SiglipImageProcessor:()=>ae.SiglipImageProcessor,SmolVLMImageProcessor:()=>ge.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>N.Swin2SRImageProcessor,VLMImageProcessor:()=>A.VLMImageProcessor,ViTFeatureExtractor:()=>O.ViTFeatureExtractor,ViTImageProcessor:()=>O.ViTImageProcessor,VitMatteImageProcessor:()=>G.VitMatteImageProcessor,VitPoseImageProcessor:()=>ne.VitPoseImageProcessor,YolosFeatureExtractor:()=>X.YolosFeatureExtractor,YolosImageProcessor:()=>X.YolosImageProcessor});var s=t("./src/models/beit/image_processing_beit.js"),i=t("./src/models/bit/image_processing_bit.js"),n=t("./src/models/chinese_clip/image_processing_chinese_clip.js"),o=t("./src/models/clip/image_processing_clip.js"),a=t("./src/models/convnext/image_processing_convnext.js"),l=t("./src/models/deit/image_processing_deit.js"),d=t("./src/models/detr/image_processing_detr.js"),p=t("./src/models/donut/image_processing_donut.js"),u=t("./src/models/dpt/image_processing_dpt.js"),h=t("./src/models/efficientnet/image_processing_efficientnet.js"),w=t("./src/models/glpn/image_processing_glpn.js"),_=t("./src/models/grounding_dino/image_processing_grounding_dino.js"),P=t("./src/models/idefics3/image_processing_idefics3.js"),A=t("./src/models/janus/image_processing_janus.js"),v=t("./src/models/jina_clip/image_processing_jina_clip.js"),y=t("./src/models/llava_onevision/image_processing_llava_onevision.js"),S=t("./src/models/mask2former/image_processing_mask2former.js"),x=t("./src/models/maskformer/image_processing_maskformer.js"),g=t("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),M=t("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),E=t("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),k=t("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),B=t("./src/models/mobilevit/image_processing_mobilevit.js"),R=t("./src/models/nougat/image_processing_nougat.js"),J=t("./src/models/owlv2/image_processing_owlv2.js"),q=t("./src/models/owlvit/image_processing_owlvit.js"),V=t("./src/models/phi3_v/image_processing_phi3_v.js"),Y=t("./src/models/pvt/image_processing_pvt.js"),H=t("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),Q=t("./src/models/rt_detr/image_processing_rt_detr.js"),ie=t("./src/models/sam/image_processing_sam.js"),le=t("./src/models/segformer/image_processing_segformer.js"),ae=t("./src/models/siglip/image_processing_siglip.js"),ge=t("./src/models/smolvlm/image_processing_smolvlm.js"),N=t("./src/models/swin2sr/image_processing_swin2sr.js"),O=t("./src/models/vit/image_processing_vit.js"),G=t("./src/models/vitmatte/image_processing_vitmatte.js"),ne=t("./src/models/vitpose/image_processing_vitpose.js"),X=t("./src/models/yolos/image_processing_yolos.js")},"./src/models/janus/image_processing_janus.js":(e,r,t)=>{t.r(r),t.d(r,{VLMImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super({do_pad:!0,pad_size:{width:o.image_size,height:o.image_size},...o}),this.constant_values=this.config.background_color.map(a=>a*this.rescale_factor)}pad_image(o,a,l,d){return super.pad_image(o,a,l,{constant_values:this.constant_values,center:!0,...d})}}},"./src/models/janus/processing_janus.js":(e,r,t)=>{t.r(r),t.d(r,{VLChatProcessor:()=>d});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/core.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/image.js");class d extends s.Processor{constructor(u,h){super(u,h),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(u,{images:h=null,chat_template:w="default"}={}){h?Array.isArray(h)||(h=[h]):h=await Promise.all(u.filter(R=>R.images).flatMap(R=>R.images).map(R=>l.RawImage.read(R)));const _=this.tokenizer,P=_.apply_chat_template(u,{tokenize:!1,add_generation_prompt:!0,chat_template:w}),A=R=>_.encode(R,{add_special_tokens:!1}),v=P.split(this.image_tag),y=v.length-1;if(h.length!==y)throw new Error(`Number of images provided (${h.length}) does not match number of "${this.image_tag}" image tags (${y})`);const[S,x,g]=_.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let M=A(v[0]),E=new Array(M.length).fill(!1);for(let R=1;R0){const R=await this.image_processor(h);return R.pixel_values.unsqueeze_(0),{...B,...R}}return B}}re(d,"image_processor_class",i.AutoImageProcessor),re(d,"tokenizer_class",n.AutoTokenizer),re(d,"uses_processor_config",!0)},"./src/models/jina_clip/image_processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){const{resize_mode:a,fill_color:l,interpolation:d,size:p,...u}=o,h=a==="squash"?{width:p,height:p}:a==="shortest"?{shortest_edge:p}:{longest_edge:p},w=d==="bicubic"?3:2;super({...u,size:h,resample:w,do_center_crop:!0,crop_size:p,do_normalize:!0})}}},"./src/models/jina_clip/processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPProcessor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{async _call(l=null,d=null,p={}){if(!l&&!d)throw new Error("Either text or images must be provided");const u=l?this.tokenizer(l,p):{},h=d?await this.image_processor(d,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/llava_onevision/image_processing_llava_onevision.js":(e,r,t)=>{t.r(r),t.d(r,{LlavaOnevisionImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(e,r,t)=>{t.r(r),t.d(r,{Mask2FormerImageProcessor:()=>i});var s=t("./src/models/maskformer/image_processing_maskformer.js");class i extends s.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(e,r,t)=>{t.r(r),t.d(r,{MaskFormerFeatureExtractor:()=>n,MaskFormerImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{post_process_panoptic_segmentation(...a){return(0,s.post_process_panoptic_segmentation)(...a)}post_process_instance_segmentation(...a){return(0,s.post_process_instance_segmentation)(...a)}}class n extends i{}},"./src/models/mgp_str/processing_mgp_str.js":(e,r,t)=>{t.r(r),t.d(r,{MgpstrProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/maths.js");const a={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class l extends s.Processor{get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(p,u){if(!a.hasOwnProperty(u))throw new Error(`Format ${u} is not supported.`);const[h,w]=a[u],_=this[h].bind(this),[P,A]=p.dims,v=[],y=[],S=p.tolist();for(let g=0;g0?k.reduce((R,J)=>R*J,1):0;y.push(E),v.push(B)}return[_(y),v]}char_decode(p){return this.char_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}bpe_decode(p){return this.bpe_tokenizer.batch_decode(p)}wp_decode(p){return this.wp_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}batch_decode([p,u,h]){const[w,_]=this._decode_helper(p,"char"),[P,A]=this._decode_helper(u,"bpe"),[v,y]=this._decode_helper(h,"wp"),S=[],x=[];for(let g=0;g{t.r(r),t.d(r,{MobileNetV1FeatureExtractor:()=>n,MobileNetV1ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV2FeatureExtractor:()=>n,MobileNetV2ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV3FeatureExtractor:()=>n,MobileNetV3ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v4/image_processing_mobilenet_v4.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV4FeatureExtractor:()=>n,MobileNetV4ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilevit/image_processing_mobilevit.js":(e,r,t)=>{t.r(r),t.d(r,{MobileViTFeatureExtractor:()=>n,MobileViTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/moonshine/feature_extraction_moonshine.js":(e,r,t)=>{t.r(r),t.d(r,{MoonshineFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"MoonshineFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=[1,a.length];return{input_values:new i.Tensor("float32",a,l)}}}},"./src/models/moonshine/processing_moonshine.js":(e,r,t)=>{t.r(r),t.d(r,{MoonshineProcessor:()=>o});var s=t("./src/models/auto/feature_extraction_auto.js"),i=t("./src/tokenizers.js"),n=t("./src/base/processing_utils.js");class o extends n.Processor{async _call(l){return await this.feature_extractor(l)}}re(o,"tokenizer_class",i.AutoTokenizer),re(o,"feature_extractor_class",s.AutoFeatureExtractor)},"./src/models/nougat/image_processing_nougat.js":(e,r,t)=>{t.r(r),t.d(r,{NougatImageProcessor:()=>i});var s=t("./src/models/donut/image_processing_donut.js");class i extends s.DonutImageProcessor{}},"./src/models/owlv2/image_processing_owlv2.js":(e,r,t)=>{t.r(r),t.d(r,{Owlv2ImageProcessor:()=>i});var s=t("./src/models/owlvit/image_processing_owlvit.js");class i extends s.OwlViTImageProcessor{}},"./src/models/owlvit/image_processing_owlvit.js":(e,r,t)=>{t.r(r),t.d(r,{OwlViTFeatureExtractor:()=>n,OwlViTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{post_process_object_detection(...a){return(0,s.post_process_object_detection)(...a)}}class n extends i{}},"./src/models/owlvit/processing_owlvit.js":(e,r,t)=>{t.r(r),t.d(r,{OwlViTProcessor:()=>o});var 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d=l.mean(1).data,p=l.data,[u,h,w]=l.dims;for(let _=0;_{t.r(r),t.d(r,{WHISPER_LANGUAGE_MAPPING:()=>i,WHISPER_TO_LANGUAGE_CODE_MAPPING:()=>n,whisper_language_to_code:()=>o});const s=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],i=new Map(s),n=new Map([...s.map(([a,l])=>[l,a]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function o(a){a=a.toLowerCase();let l=n.get(a);if(l===void 0){const d=a.match(/^<\|([a-z]{2})\|>$/);if(d&&(a=d[1]),i.has(a))l=a;else{const u=a.length===2?i.keys():i.values();throw new Error(`Language "${a}" is not supported. Must be one of: ${JSON.stringify(Array.from(u))}`)}}return l}},"./src/models/whisper/feature_extraction_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js"),n=t("./src/utils/maths.js");class o extends s.FeatureExtractor{constructor(l){var d;super(l),(d=this.config).mel_filters??(d.mel_filters=(0,i.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=(0,i.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(l){const d=await(0,i.spectrogram)(l,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:Math.min(Math.floor(l.length/this.config.hop_length),this.config.nb_max_frames)}),p=d.data,u=(0,n.max)(p)[0];for(let h=0;hu?(l.length>this.config.n_samples&&console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),p=l.slice(0,u)):(p=new Float32Array(u),p.set(l)),{input_features:(await this._extract_fbank_features(p)).unsqueeze_(0)}}}},"./src/models/whisper/generation_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperGenerationConfig:()=>i});var s=t("./src/generation/configuration_utils.js");class i extends s.GenerationConfig{constructor(){super(...arguments);re(this,"return_timestamps",null);re(this,"return_token_timestamps",null);re(this,"num_frames",null);re(this,"alignment_heads",null);re(this,"task",null);re(this,"language",null);re(this,"no_timestamps_token_id",null);re(this,"prompt_ids",null);re(this,"is_multilingual",null);re(this,"lang_to_id",null);re(this,"task_to_id",null);re(this,"max_initial_timestamp_index",1)}}},"./src/models/whisper/processing_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperProcessor:()=>o});var s=t("./src/models/auto/feature_extraction_auto.js"),i=t("./src/tokenizers.js"),n=t("./src/base/processing_utils.js");class o extends n.Processor{async _call(l){return await this.feature_extractor(l)}}re(o,"tokenizer_class",i.AutoTokenizer),re(o,"feature_extractor_class",s.AutoFeatureExtractor)},"./src/models/yolos/image_processing_yolos.js":(e,r,t)=>{t.r(r),t.d(r,{YolosFeatureExtractor:()=>n,YolosImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{post_process_object_detection(...a){return(0,s.post_process_object_detection)(...a)}}class n extends i{}},"./src/ops/registry.js":(e,r,t)=>{t.r(r),t.d(r,{TensorOpRegistry:()=>l});var s=t("./src/backends/onnx.js"),i=t("./src/utils/tensor.js"),n=t("./src/env.js");const o=n.apis.IS_BROWSER_ENV||n.apis.IS_WEBWORKER_ENV,a=async(d,p,u)=>{const h=await(0,s.createInferenceSession)(new Uint8Array(d),p);let w=Promise.resolve();return async _=>{const P=(0,s.isONNXProxy)(),A=Object.fromEntries(Object.entries(_).map(([y,S])=>[y,(P?S.clone():S).ort_tensor])),v=await(w=o?w.then(()=>h.run(A)):h.run(A));return Array.isArray(u)?u.map(y=>new i.Tensor(v[y])):new i.Tensor(v[u])}};class l{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=a([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,"y")),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=a([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=a([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=a([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=a([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=a([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=a([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}static get slice(){return this._slice||(this._slice=a([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,"y")),this._slice}}re(l,"session_options",{})},"./src/pipelines.js":(e,r,t)=>{t.r(r),t.d(r,{AudioClassificationPipeline:()=>q,AutomaticSpeechRecognitionPipeline:()=>Y,BackgroundRemovalPipeline:()=>le,DepthEstimationPipeline:()=>X,DocumentQuestionAnsweringPipeline:()=>O,FeatureExtractionPipeline:()=>R,FillMaskPipeline:()=>S,ImageClassificationPipeline:()=>Q,ImageFeatureExtractionPipeline:()=>J,ImageSegmentationPipeline:()=>ie,ImageToImagePipeline:()=>ne,ImageToTextPipeline:()=>H,ObjectDetectionPipeline:()=>ge,Pipeline:()=>P,QuestionAnsweringPipeline:()=>y,SummarizationPipeline:()=>g,Text2TextGenerationPipeline:()=>x,TextClassificationPipeline:()=>A,TextGenerationPipeline:()=>k,TextToAudioPipeline:()=>G,TokenClassificationPipeline:()=>v,TranslationPipeline:()=>M,ZeroShotAudioClassificationPipeline:()=>V,ZeroShotClassificationPipeline:()=>B,ZeroShotImageClassificationPipeline:()=>ae,ZeroShotObjectDetectionPipeline:()=>N,pipeline:()=>ke});var s=t("./src/tokenizers.js"),i=t("./src/models.js"),n=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var o=t("./src/utils/generic.js"),a=t("./src/utils/core.js"),l=t("./src/utils/maths.js"),d=t("./src/utils/audio.js"),p=t("./src/utils/tensor.js"),u=t("./src/utils/image.js");async function h(Me){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(K=>u.RawImage.read(K)))}async function w(Me,K){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(U=>typeof U=="string"||U instanceof URL?(0,d.read_audio)(U,K):U instanceof Float64Array?new Float32Array(U):U))}function _(Me,K){K&&(Me=Me.map(Fe=>Fe|0));const[U,pe,Pe,Ee]=Me;return{xmin:U,ymin:pe,xmax:Pe,ymax:Ee}}class P extends o.Callable{constructor({task:K,model:U,tokenizer:pe=null,processor:Pe=null}){super(),this.task=K,this.model=U,this.tokenizer=pe,this.processor=Pe}async dispose(){await this.model.dispose()}}class A extends P{constructor(K){super(K)}async _call(K,{top_k:U=1}={}){const pe=this.tokenizer(K,{padding:!0,truncation:!0}),Pe=await this.model(pe),Ee=this.model.config.problem_type==="multi_label_classification"?Le=>Le.sigmoid():Le=>new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),Fe=this.model.config.id2label,Ie=[];for(const Le of Pe.logits){const Ne=Ee(Le),Ve=await(0,p.topk)(Ne,U),D=Ve[0].tolist(),z=Ve[1].tolist().map((ee,ce)=>({label:Fe?Fe[ee]:`LABEL_${ee}`,score:D[ce]}));U===1?Ie.push(...z):Ie.push(z)}return Array.isArray(K)||U===1?Ie:Ie[0]}}class v extends P{constructor(K){super(K)}async _call(K,{ignore_labels:U=["O"]}={}){const pe=Array.isArray(K),Pe=this.tokenizer(pe?K:[K],{padding:!0,truncation:!0}),Fe=(await this.model(Pe)).logits,Ie=this.model.config.id2label,Le=[];for(let Ne=0;NeAe==this.tokenizer.sep_token_id);Le[D].map((Ae,Ue)=>Ae==1&&(Ue===0||Ue>z&&Ne.findIndex(Qe=>Qe==Z[Ue])===-1));const ee=Ee[D].tolist(),ce=Fe[D].tolist();for(let Ae=1;AeUe==Z[Ae])!==-1)&&(ee[Ae]=-1/0,ce[Ae]=-1/0);const be=(0,l.softmax)(ee).map((Ae,Ue)=>[Ae,Ue]),ve=(0,l.softmax)(ce).map((Ae,Ue)=>[Ae,Ue]);be[0][0]=0,ve[0][0]=0;const Re=(0,a.product)(be,ve).filter(Ae=>Ae[0][1]<=Ae[1][1]).map(Ae=>[Ae[0][1],Ae[1][1],Ae[0][0]*Ae[1][0]]).sort((Ae,Ue)=>Ue[2]-Ae[2]);for(let Ae=0;Aeee==this.tokenizer.mask_token_id);if(Ne===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const Ve=Pe[Ie][Ne],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),z=D[1].tolist();Ee.push(z.map((ee,ce)=>{const be=Le.slice();return be[Ne]=ee,{score:Z[ce],token:Number(ee),token_str:this.tokenizer.decode([ee]),sequence:this.tokenizer.decode(be,{skip_special_tokens:!0})}}))}return Array.isArray(K)?Ee:Ee[0]}}class x extends P{constructor(U){super(U);re(this,"_key","generated_text")}async _call(U,pe={}){Array.isArray(U)||(U=[U]),this.model.config.prefix&&(U=U.map(Ne=>this.model.config.prefix+Ne));const Pe=this.model.config.task_specific_params;Pe&&Pe[this.task]&&Pe[this.task].prefix&&(U=U.map(Ne=>Pe[this.task].prefix+Ne));const Ee=this.tokenizer,Fe={padding:!0,truncation:!0};let Ie;this instanceof M&&"_build_translation_inputs"in Ee?Ie=Ee._build_translation_inputs(U,Fe,pe):Ie=Ee(U,Fe);const Le=await this.model.generate({...Ie,...pe});return Ee.batch_decode(Le,{skip_special_tokens:!0}).map(Ne=>({[this._key]:Ne}))}}class g extends x{constructor(U){super(U);re(this,"_key","summary_text")}}class M extends x{constructor(U){super(U);re(this,"_key","translation_text")}}function E(Me){return Array.isArray(Me)&&Me.every(K=>"role"in K&&"content"in K)}class k extends P{constructor(K){super(K)}async _call(K,U={}){let pe=!1,Pe=!1,Ee;if(typeof K=="string")Ee=K=[K];else if(Array.isArray(K)&&K.every(z=>typeof z=="string"))pe=!0,Ee=K;else{if(E(K))K=[K];else if(Array.isArray(K)&&K.every(E))pe=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");Pe=!0,Ee=K.map(z=>this.tokenizer.apply_chat_template(z,{tokenize:!1,add_generation_prompt:!0}))}const Fe=U.add_special_tokens??!1,Ie=Pe?!1:U.return_full_text??!0;this.tokenizer.padding_side="left";const Le=this.tokenizer(Ee,{add_special_tokens:Fe,padding:!0,truncation:!0}),Ne=await this.model.generate({...Le,...U}),Ve=this.tokenizer.batch_decode(Ne,{skip_special_tokens:!0});let D;!Ie&&Le.input_ids.dims.at(-1)>0&&(D=this.tokenizer.batch_decode(Le.input_ids,{skip_special_tokens:!0}).map(z=>z.length));const Z=Array.from({length:K.length},z=>[]);for(let z=0;z[U.toLowerCase(),pe])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(K,U,{hypothesis_template:pe="This example is {}.",multi_label:Pe=!1}={}){const Ee=Array.isArray(K);Ee||(K=[K]),Array.isArray(U)||(U=[U]);const Fe=U.map(Ne=>pe.replace("{}",Ne)),Ie=Pe||U.length===1,Le=[];for(const Ne of K){const Ve=[];for(const z of Fe){const ee=this.tokenizer(Ne,{text_pair:z,padding:!0,truncation:!0}),ce=await this.model(ee);Ie?Ve.push([ce.logits.data[this.contradiction_id],ce.logits.data[this.entailment_id]]):Ve.push(ce.logits.data[this.entailment_id])}const Z=(Ie?Ve.map(z=>(0,l.softmax)(z)[1]):(0,l.softmax)(Ve)).map((z,ee)=>[z,ee]).sort((z,ee)=>ee[0]-z[0]);Le.push({sequence:Ne,labels:Z.map(z=>U[z[1]]),scores:Z.map(z=>z[0])})}return Ee?Le:Le[0]}}class R extends P{constructor(K){super(K)}async _call(K,{pooling:U="none",normalize:pe=!1,quantize:Pe=!1,precision:Ee="binary"}={}){const Fe=this.tokenizer(K,{padding:!0,truncation:!0}),Ie=await this.model(Fe);let Le=Ie.last_hidden_state??Ie.logits??Ie.token_embeddings;if(U!=="none")if(U==="mean")Le=(0,p.mean_pooling)(Le,Fe.attention_mask);else if(U==="cls")Le=Le.slice(null,0);else throw Error(`Pooling method '${U}' not supported.`);return pe&&(Le=Le.normalize(2,-1)),Pe&&(Le=(0,p.quantize_embeddings)(Le,Ee)),Le}}class J extends P{constructor(K){super(K)}async _call(K,{pool:U=null}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Ee=await this.model({pixel_values:Pe});let Fe;if(U){if(!("pooler_output"in Ee))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");Fe=Ee.pooler_output}else Fe=Ee.last_hidden_state??Ee.logits??Ee.image_embeds;return Fe}}class q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=this.processor.feature_extractor.config.sampling_rate,Pe=await w(K,pe),Ee=this.model.config.id2label,Fe=[];for(const Ie of Pe){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),ee=D[1].tolist().map((ce,be)=>({label:Ee?Ee[ce]:`LABEL_${ce}`,score:Z[be]}));Fe.push(ee)}return Array.isArray(K)?Fe:Fe[0]}}class V extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a sound of {}."}={}){const Pe=!Array.isArray(K);Pe&&(K=[K]);const Ee=U.map(Ve=>pe.replace("{}",Ve)),Fe=this.tokenizer(Ee,{padding:!0,truncation:!0}),Ie=this.processor.feature_extractor.config.sampling_rate,Le=await w(K,Ie),Ne=[];for(const Ve of Le){const D=await this.processor(Ve),Z=await this.model({...Fe,...D}),z=(0,l.softmax)(Z.logits_per_audio.data);Ne.push([...z].map((ee,ce)=>({score:ee,label:U[ce]})))}return Pe?Ne[0]:Ne}}class Y extends P{constructor(K){super(K)}async _call(K,U={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(K,U);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(K,U);case"moonshine":return this._call_moonshine(K,U);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(K,U){U.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),U.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Ee=await w(K,Pe),Fe=[];for(const Ie of Ee){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=[];for(const z of Ve)D.push((0,l.max)(z.data)[1]);const Z=this.tokenizer.decode(D);Fe.push({text:Z})}return pe?Fe[0]:Fe}async _call_whisper(K,U){const pe=U.return_timestamps??!1,Pe=U.chunk_length_s??0,Ee=U.force_full_sequences??!1;let Fe=U.stride_length_s??null;const Ie={...U};pe==="word"&&(Ie.return_token_timestamps=!0,Ie.return_timestamps=!1);const Le=!Array.isArray(K);Le&&(K=[K]);const Ne=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,Ve=this.processor.feature_extractor.config.hop_length,D=this.processor.feature_extractor.config.sampling_rate,Z=await w(K,D),z=[];for(const ee of Z){let ce=[];if(Pe>0){if(Fe===null)Fe=Pe/6;else if(Pe<=Fe)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Re=D*Pe,Ae=D*Fe,Ue=Re-2*Ae;let Qe=0;for(;;){const Xe=Qe+Re,ct=ee.subarray(Qe,Xe),xt=await this.processor(ct),nr=Qe===0,jt=Xe>=ee.length;if(ce.push({stride:[ct.length,nr?0:Ae,jt?0:Ae],input_features:xt.input_features,is_last:jt}),jt)break;Qe+=Ue}}else ce=[{stride:[ee.length,0,0],input_features:(await this.processor(ee)).input_features,is_last:!0}];for(const Re of ce){Ie.num_frames=Math.floor(Re.stride[0]/Ve);const Ae=await this.model.generate({inputs:Re.input_features,...Ie});pe==="word"?(Re.tokens=Ae.sequences.tolist()[0],Re.token_timestamps=Ae.token_timestamps.tolist()[0].map(Ue=>(0,l.round)(Ue,2))):Re.tokens=Ae[0].tolist(),Re.stride=Re.stride.map(Ue=>Ue/D)}const[be,ve]=this.tokenizer._decode_asr(ce,{time_precision:Ne,return_timestamps:pe,force_full_sequences:Ee});z.push({text:be,...ve})}return Le?z[0]:z}async _call_moonshine(K,U){const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Ee=await w(K,Pe),Fe=[];for(const Ie of Ee){const Le=await this.processor(Ie),Ne=Math.floor(Ie.length/Pe)*6,Ve=await this.model.generate({max_new_tokens:Ne,...U,...Le}),D=this.processor.batch_decode(Ve,{skip_special_tokens:!0})[0];Fe.push({text:D})}return pe?Fe[0]:Fe}}class H extends P{constructor(K){super(K)}async _call(K,U={}){const pe=Array.isArray(K),Pe=await h(K),{pixel_values:Ee}=await this.processor(Pe),Fe=[];for(const Ie of Ee){Ie.dims=[1,...Ie.dims];const Le=await this.model.generate({inputs:Ie,...U}),Ne=this.tokenizer.batch_decode(Le,{skip_special_tokens:!0}).map(Ve=>({generated_text:Ve.trim()}));Fe.push(Ne)}return pe?Fe:Fe[0]}}class Q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Ee=await this.model({pixel_values:Pe}),Fe=this.model.config.id2label,Ie=[];for(const Le of Ee.logits){const Ne=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),U),Ve=Ne[0].tolist(),Z=Ne[1].tolist().map((z,ee)=>({label:Fe?Fe[z]:`LABEL_${z}`,score:Ve[ee]}));Ie.push(Z)}return Array.isArray(K)?Ie:Ie[0]}}class ie extends P{constructor(K){super(K),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(K,{threshold:U=.5,mask_threshold:pe=.5,overlap_mask_area_threshold:Pe=.8,label_ids_to_fuse:Ee=null,target_sizes:Fe=null,subtask:Ie=null}={}){if(Array.isArray(K)&&K.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const Ne=await h(K),Ve=Ne.map(Re=>[Re.height,Re.width]),D=await this.processor(Ne),{inputNames:Z,outputNames:z}=this.model.sessions.model;if(!Z.includes("pixel_values")){if(Z.length!==1)throw Error(`Expected a single input name, but got ${Z.length} inputs: ${Z}.`);const Re=Z[0];if(Re in D)throw Error(`Input name ${Re} already exists in the inputs.`);D[Re]=D.pixel_values}const ee=await this.model(D);let ce=null;if(Ie!==null)ce=this.subtasks_mapping[Ie];else if(this.processor.image_processor){for(const[Re,Ae]of Object.entries(this.subtasks_mapping))if(Ae in this.processor.image_processor){ce=this.processor.image_processor[Ae].bind(this.processor.image_processor),Ie=Re;break}}const be=this.model.config.id2label,ve=[];if(Ie)if(Ie==="panoptic"||Ie==="instance"){const Re=ce(ee,U,pe,Pe,Ee,Fe??Ve)[0],Ae=Re.segmentation;for(const Ue of Re.segments_info){const Qe=new Uint8ClampedArray(Ae.data.length);for(let ct=0;ctct<0||ct>1)&&Qe.sigmoid_();const Xe=await u.RawImage.fromTensor(Qe.mul_(255).to("uint8")).resize(Ue[1],Ue[0]);ve.push({label:null,score:null,mask:Xe})}}return ve}}class le extends ie{constructor(K){super(K)}async _call(K,U={}){if(Array.isArray(K)&&K.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const Pe=await h(K),Ee=await super._call(K,U);return Pe.map((Ie,Le)=>{const Ne=Ie.clone();return Ne.putAlpha(Ee[Le].mask),Ne})}}class ae extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a photo of {}"}={}){const Pe=Array.isArray(K),Ee=await h(K),Fe=U.map(Z=>pe.replace("{}",Z)),Ie=this.tokenizer(Fe,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:Le}=await this.processor(Ee),Ne=await this.model({...Ie,pixel_values:Le}),Ve=this.model.config.model_type==="siglip"?Z=>Z.sigmoid().data:Z=>(0,l.softmax)(Z.data),D=[];for(const Z of Ne.logits_per_image){const ee=[...Ve(Z)].map((ce,be)=>({score:ce,label:U[be]}));ee.sort((ce,be)=>be.score-ce.score),D.push(ee)}return Pe?D:D[0]}}class ge extends P{constructor(K){super(K)}async _call(K,{threshold:U=.9,percentage:pe=!1}={}){const Pe=Array.isArray(K);if(Pe&&K.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const Ee=await h(K),Fe=pe?null:Ee.map(z=>[z.height,z.width]),{pixel_values:Ie,pixel_mask:Le}=await this.processor(Ee),Ne=await this.model({pixel_values:Ie,pixel_mask:Le}),Ve=this.processor.image_processor.post_process_object_detection(Ne,U,Fe),D=this.model.config.id2label,Z=Ve.map(z=>z.boxes.map((ee,ce)=>({score:z.scores[ce],label:D[z.classes[ce]],box:_(ee,!pe)})));return Pe?Z:Z[0]}}class N extends P{constructor(K){super(K)}async _call(K,U,{threshold:pe=.1,top_k:Pe=null,percentage:Ee=!1}={}){const Fe=Array.isArray(K),Ie=await h(K),Le=this.tokenizer(U,{padding:!0,truncation:!0}),Ne=await this.processor(Ie),Ve=[];for(let D=0;D({score:ve.scores[Ae],label:ve.labels[Ae],box:_(Re,!Ee)}))}else{const ve=this.processor.image_processor.post_process_object_detection(ce,pe,z,!0)[0];be=ve.boxes.map((Re,Ae)=>({score:ve.scores[Ae],label:U[ve.classes[Ae]],box:_(Re,!Ee)}))}be.sort((ve,Re)=>Re.score-ve.score),Pe!==null&&(be=be.slice(0,Pe)),Ve.push(be)}return Fe?Ve:Ve[0]}}class O extends P{constructor(K){super(K)}async _call(K,U,pe={}){const Pe=(await h(K))[0],{pixel_values:Ee}=await this.processor(Pe),Fe=`${U}`,Ie=this.tokenizer(Fe,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,Le=await this.model.generate({inputs:Ee,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:Ie,...pe}),Ve=this.tokenizer.batch_decode(Le)[0].match(/(.*?)<\/s_answer>/);let D=null;return Ve&&Ve.length>=2&&(D=Ve[1].trim()),[{answer:D}]}}class G extends P{constructor(U){super(U);re(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=U.vocoder??null}async _call(U,{speaker_embeddings:pe=null}={}){return this.processor?this._call_text_to_spectrogram(U,{speaker_embeddings:pe}):this._call_text_to_waveform(U)}async _call_text_to_waveform(U){const pe=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Pe}=await this.model(pe),Ee=this.model.config.sampling_rate;return new d.RawAudio(Pe.data,Ee)}async _call_text_to_spectrogram(U,{speaker_embeddings:pe}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await i.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof pe=="string"||pe instanceof URL)&&(pe=new Float32Array(await(await fetch(pe)).arrayBuffer())),pe instanceof Float32Array)pe=new p.Tensor("float32",pe,[1,pe.length]);else if(!(pe instanceof p.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:Pe}=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Ee}=await this.model.generate_speech(Pe,pe,{vocoder:this.vocoder}),Fe=this.processor.feature_extractor.config.sampling_rate;return new d.RawAudio(Ee.data,Fe)}}class ne extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),Pe=await this.model(pe),Ee=[];for(const Fe of Pe.reconstruction){const Ie=Fe.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");Ee.push(u.RawImage.fromTensor(Ie))}return Ee.length>1?Ee:Ee[0]}}class X extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),{predicted_depth:Pe}=await this.model(pe),Ee=[];for(let Fe=0;Fe1?Ee:Ee[0]}}const we=Object.freeze({"text-classification":{tokenizer:s.AutoTokenizer,pipeline:A,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:s.AutoTokenizer,pipeline:v,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:s.AutoTokenizer,pipeline:y,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:s.AutoTokenizer,pipeline:S,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:s.AutoTokenizer,pipeline:g,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:s.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:s.AutoTokenizer,pipeline:x,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:s.AutoTokenizer,pipeline:k,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:s.AutoTokenizer,pipeline:B,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:q,model:i.AutoModelForAudioClassification,processor:n.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:s.AutoTokenizer,pipeline:V,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:s.AutoTokenizer,pipeline:Y,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:n.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:s.AutoTokenizer,pipeline:G,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[n.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:s.AutoTokenizer,pipeline:H,model:i.AutoModelForVision2Seq,processor:n.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:Q,model:i.AutoModelForImageClassification,processor:n.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ie,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:le,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:s.AutoTokenizer,pipeline:ae,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:ge,model:i.AutoModelForObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:s.AutoTokenizer,pipeline:N,model:i.AutoModelForZeroShotObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:s.AutoTokenizer,pipeline:O,model:i.AutoModelForDocumentQuestionAnswering,processor:n.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:ne,model:i.AutoModelForImageToImage,processor:n.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:X,model:i.AutoModelForDepthEstimation,processor:n.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:s.AutoTokenizer,pipeline:R,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:n.AutoProcessor,pipeline:J,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),fe=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function ke(Me,K=null,{progress_callback:U=null,config:pe=null,cache_dir:Pe=null,local_files_only:Ee=!1,revision:Fe="main",device:Ie=null,dtype:Le=null,subfolder:Ne="onnx",use_external_data_format:Ve=null,model_file_name:D=null,session_options:Z={}}={}){Me=fe[Me]??Me;const z=we[Me.split("_",1)[0]];if(!z)throw Error(`Unsupported pipeline: ${Me}. Must be one of [${Object.keys(we)}]`);K||(K=z.default.model,console.log(`No model specified. Using default model: "${K}".`));const ee={progress_callback:U,config:pe,cache_dir:Pe,local_files_only:Ee,revision:Fe,device:Ie,dtype:Le,subfolder:Ne,use_external_data_format:Ve,model_file_name:D,session_options:Z},ce=new Map([["tokenizer",z.tokenizer],["model",z.model],["processor",z.processor]]),be=await He(ce,K,ee);be.task=Me,(0,a.dispatchCallback)(U,{status:"ready",task:Me,model:K});const ve=z.pipeline;return new ve(be)}async function He(Me,K,U){const pe=Object.create(null),Pe=[];for(const[Ee,Fe]of Me.entries()){if(!Fe)continue;let Ie;Array.isArray(Fe)?Ie=new Promise(async(Le,Ne)=>{var D,Z;let Ve;for(const z of Fe){if(z===null){Le(null);return}try{Le(await z.from_pretrained(K,U));return}catch(ee){if((D=ee.message)!=null&&D.includes("Unsupported model type"))Ve=ee;else if((Z=ee.message)!=null&&Z.includes("Could not locate file"))Ve=ee;else{Ne(ee);return}}}Ne(Ve)}):Ie=Fe.from_pretrained(K,U),pe[Ee]=Ie,Pe.push(Ie)}await Promise.all(Pe);for(const[Ee,Fe]of Object.entries(pe))pe[Ee]=await Fe;return pe}},"./src/tokenizers.js":(e,r,t)=>{t.r(r),t.d(r,{AlbertTokenizer:()=>Ur,AutoTokenizer:()=>Cn,BartTokenizer:()=>hs,BertTokenizer:()=>qr,BlenderbotSmallTokenizer:()=>Jr,BlenderbotTokenizer:()=>Ar,BloomTokenizer:()=>Qr,CLIPTokenizer:()=>Tn,CamembertTokenizer:()=>it,CodeGenTokenizer:()=>Xr,CodeLlamaTokenizer:()=>Qs,CohereTokenizer:()=>Pn,ConvBertTokenizer:()=>mr,DebertaTokenizer:()=>Ts,DebertaV2Tokenizer:()=>Es,DistilBertTokenizer:()=>et,ElectraTokenizer:()=>zt,EsmTokenizer:()=>Zs,FalconTokenizer:()=>_s,GPT2Tokenizer:()=>ps,GPTNeoXTokenizer:()=>Ys,GemmaTokenizer:()=>Lr,Grok1Tokenizer:()=>Cs,HerbertTokenizer:()=>Ds,LlamaTokenizer:()=>qs,M2M100Tokenizer:()=>zs,MBart50Tokenizer:()=>ms,MBartTokenizer:()=>Er,MPNetTokenizer:()=>Js,MarianTokenizer:()=>En,MgpstrTokenizer:()=>Ss,MobileBertTokenizer:()=>us,NllbTokenizer:()=>Ls,NougatTokenizer:()=>fr,PreTrainedTokenizer:()=>dt,Qwen2Tokenizer:()=>en,RoFormerTokenizer:()=>Be,RobertaTokenizer:()=>fs,SiglipTokenizer:()=>zr,SpeechT5Tokenizer:()=>cr,SqueezeBertTokenizer:()=>xs,T5Tokenizer:()=>kr,TokenizerModel:()=>J,VitsTokenizer:()=>Rs,Wav2Vec2CTCTokenizer:()=>Bs,WhisperTokenizer:()=>Ir,XLMRobertaTokenizer:()=>Xs,XLMTokenizer:()=>rr,is_chinese_char:()=>S});var s=t("./src/utils/generic.js"),i=t("./src/utils/core.js"),n=t("./src/utils/hub.js"),o=t("./src/utils/maths.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/data-structures.js"),d=t("./node_modules/@huggingface/jinja/dist/index.js"),p=t("./src/models/whisper/common_whisper.js");async function u(ue,F){const j=await Promise.all([(0,n.getModelJSON)(ue,"tokenizer.json",!0,F),(0,n.getModelJSON)(ue,"tokenizer_config.json",!0,F)]);return F.legacy!==null&&(j[1].legacy=F.legacy),j}function h(ue,F){const j=[];let te=0;for(const de of ue.matchAll(F)){const he=de[0];te0&&j.push(he),te=de.index+he.length}return te=19968&&ue<=40959||ue>=13312&&ue<=19903||ue>=131072&&ue<=173791||ue>=173824&&ue<=177983||ue>=177984&&ue<=178207||ue>=178208&&ue<=183983||ue>=63744&&ue<=64255||ue>=194560&&ue<=195103}function x(ue,F,j){const te=[];let de=0;for(;dethis.tokens_to_ids.get(j)??this.unk_token_id)}convert_ids_to_tokens(F){return F.map(j=>this.vocab[j]??this.unk_token)}}class q extends J{constructor(F){super(F),this.tokens_to_ids=_(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.max_input_chars_per_word=F.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[j,te]of this.tokens_to_ids)this.vocab[te]=j}encode(F){const j=[];for(const te of F){const de=[...te];if(de.length>this.max_input_chars_per_word){j.push(this.unk_token);continue}let he=!1,Ce=0;const We=[];for(;Ce0&&(Ze=this.config.continuing_subword_prefix+Ze),this.tokens_to_ids.has(Ze)){Ke=Ze;break}--qe}if(Ke===null){he=!0;break}We.push(Ke),Ce=qe}he?j.push(this.unk_token):j.push(...We)}return j}}class V extends J{constructor(F,j){super(F);const te=F.vocab.length;this.vocab=new Array(te),this.scores=new Array(te);for(let de=0;de[de,he])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,o.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new l.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(F){const j=F.chars,te=1;let de=0;for(;de{const ue=[...Array.from({length:94},(de,he)=>he+33),...Array.from({length:12},(de,he)=>he+161),...Array.from({length:82},(de,he)=>he+174)],F=ue.slice();let j=0;for(let de=0;de<256;++de)ue.includes(de)||(ue.push(de),F.push(256+j),j+=1);const te=F.map(de=>String.fromCharCode(de));return Object.fromEntries(ue.map((de,he)=>[de,te[he]]))})(),H=(0,i.reverseDictionary)(Y);class Q extends J{constructor(F){super(F),this.tokens_to_ids=_(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[te,de]of this.tokens_to_ids)this.vocab[de]=te;const j=Array.isArray(F.merges[0]);this.merges=j?F.merges:F.merges.map(te=>te.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((te,de)=>[JSON.stringify(te),de])),this.end_of_word_suffix=F.end_of_word_suffix,this.continuing_subword_suffix=F.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.cache=new Map}bpe(F){if(F.length===0)return[];const j=this.cache.get(F);if(j!==void 0)return j;const te=Array.from(F);this.end_of_word_suffix&&(te[te.length-1]+=this.end_of_word_suffix);let de=[];if(te.length>1){const he=new l.PriorityQueue((qe,Ke)=>qe.score`<0x${We.toString(16).toUpperCase().padStart(2,"0")}>`);Ce.every(We=>this.tokens_to_ids.has(We))?j.push(...Ce):j.push(this.unk_token)}else j.push(this.unk_token)}return j}}class ie extends J{constructor(F,j){super(F),this.tokens_to_ids=_(j.target_lang?F.vocab[j.target_lang]:F.vocab),this.bos_token=j.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=j.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=j.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[te,de]of this.tokens_to_ids)this.vocab[de]=te}encode(F){return F}}class le extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"BertNormalizer":return new Me(F);case"Precompiled":return new jt(F);case"Sequence":return new He(F);case"Replace":return new ae(F);case"NFC":return new N(F);case"NFD":return new O(F);case"NFKC":return new G(F);case"NFKD":return new ne(F);case"Strip":return new X(F);case"StripAccents":return new we(F);case"Lowercase":return new fe(F);case"Prepend":return new ke(F);default:throw new Error(`Unknown Normalizer type: ${F.type}`)}}normalize(F){throw Error("normalize should be implemented in subclass.")}_call(F){return this.normalize(F)}}class ae extends le{normalize(F){const j=w(this.config.pattern);return j===null?F:F.replaceAll(j,this.config.content)}}class ge extends le{constructor(){super(...arguments);re(this,"form")}normalize(j){return j=j.normalize(this.form),j}}class N extends ge{constructor(){super(...arguments);re(this,"form","NFC")}}class O extends ge{constructor(){super(...arguments);re(this,"form","NFD")}}class G extends ge{constructor(){super(...arguments);re(this,"form","NFKC")}}class ne extends ge{constructor(){super(...arguments);re(this,"form","NFKD")}}class X extends le{normalize(F){return this.config.strip_left&&this.config.strip_right?F=F.trim():(this.config.strip_left&&(F=F.trimStart()),this.config.strip_right&&(F=F.trimEnd())),F}}class we extends le{normalize(F){return F=v(F),F}}class fe extends le{normalize(F){return F=F.toLowerCase(),F}}class ke extends le{normalize(F){return F=this.config.prepend+F,F}}class He extends le{constructor(F){super(F),this.normalizers=F.normalizers.map(j=>le.fromConfig(j))}normalize(F){return this.normalizers.reduce((j,te)=>te.normalize(j),F)}}class Me extends le{_tokenize_chinese_chars(F){const j=[];for(let te=0;tethis.pre_tokenize_text(te,j)):this.pre_tokenize_text(F,j)).flat()}_call(F,j){return this.pre_tokenize(F,j)}}class U extends K{constructor(F){super(),this.pattern=new RegExp(`[^\\s${M}]+|[${M}]`,"gu")}pre_tokenize_text(F,j){return F.trim().match(this.pattern)||[]}}class pe extends K{constructor(F){super(),this.config=F,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Y,this.text_encoder=new TextEncoder}pre_tokenize_text(F,j){return this.add_prefix_space&&!F.startsWith(" ")&&(F=" "+F),(this.use_regex?F.match(this.pattern)||[]:[F]).map(de=>Array.from(this.text_encoder.encode(de),he=>this.byte_encoder[he]).join(""))}}class Pe extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern,this.config.invert)}pre_tokenize_text(F,j){var te;return this.pattern===null?[]:this.config.invert?F.match(this.pattern)||[]:((te=this.config.behavior)==null?void 0:te.toLowerCase())==="removed"?F.split(this.pattern).filter(de=>de):h(F,this.pattern)}}class Ee extends K{constructor(F){super(),this.config=F,this.pattern=new RegExp(`[^${M}]+|[${M}]+`,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Fe extends K{constructor(F){super(),this.config=F;const j=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(j,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Ie extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"TemplateProcessing":return new Ve(F);case"ByteLevel":return new D(F);case"RobertaProcessing":return new Ne(F);case"BertProcessing":return new Le(F);case"Sequence":return new Z(F);default:throw new Error(`Unknown PostProcessor type: ${F.type}`)}}post_process(F,...j){throw Error("post_process should be implemented in subclass.")}_call(F,...j){return this.post_process(F,...j)}}class Le extends Ie{constructor(F){super(F),this.cls=F.cls[0],this.sep=F.sep[0]}post_process(F,j=null,{add_special_tokens:te=!0}={}){te&&(F=(0,i.mergeArrays)([this.cls],F,[this.sep]));let de=new Array(F.length).fill(0);if(j!==null){const he=te&&this instanceof Ne?[this.sep]:[],Ce=te?[this.sep]:[];F=(0,i.mergeArrays)(F,he,j,Ce),de=(0,i.mergeArrays)(de,new Array(j.length+he.length+Ce.length).fill(1))}return{tokens:F,token_type_ids:de}}}class Ne extends Le{}class Ve extends Ie{constructor(F){super(F),this.single=F.single,this.pair=F.pair}post_process(F,j=null,{add_special_tokens:te=!0}={}){const de=j===null?this.single:this.pair;let he=[],Ce=[];for(const We of de)"SpecialToken"in We?te&&(he.push(We.SpecialToken.id),Ce.push(We.SpecialToken.type_id)):"Sequence"in We&&(We.Sequence.id==="A"?(he=(0,i.mergeArrays)(he,F),Ce=(0,i.mergeArrays)(Ce,new Array(F.length).fill(We.Sequence.type_id))):We.Sequence.id==="B"&&(he=(0,i.mergeArrays)(he,j),Ce=(0,i.mergeArrays)(Ce,new Array(j.length).fill(We.Sequence.type_id))));return{tokens:he,token_type_ids:Ce}}}class D extends Ie{post_process(F,j=null){return j&&(F=(0,i.mergeArrays)(F,j)),{tokens:F}}}class Z extends Ie{constructor(F){super(F),this.processors=F.processors.map(j=>Ie.fromConfig(j))}post_process(F,j=null,te={}){let de;for(const he of this.processors)if(he instanceof D)F=he.post_process(F).tokens,j&&(j=he.post_process(j).tokens);else{const Ce=he.post_process(F,j,te);F=Ce.tokens,de=Ce.token_type_ids}return{tokens:F,token_type_ids:de}}}class z extends s.Callable{constructor(F){super(),this.config=F,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=F.trim_offsets}static fromConfig(F){if(F===null)return null;switch(F.type){case"WordPiece":return new Re(F);case"Metaspace":return new nr(F);case"ByteLevel":return new Ae(F);case"Replace":return new ee(F);case"ByteFallback":return new ce(F);case"Fuse":return new be(F);case"Strip":return new ve(F);case"Sequence":return new Qe(F);case"CTC":return new Ue(F);case"BPEDecoder":return new Xe(F);default:throw new Error(`Unknown Decoder type: ${F.type}`)}}_call(F){return this.decode(F)}decode(F){return this.decode_chain(F).join("")}decode_chain(F){throw Error("`decode_chain` should be implemented in subclass.")}}class ee extends z{decode_chain(F){const j=w(this.config.pattern);return j===null?F:F.map(te=>te.replaceAll(j,this.config.content))}}class ce extends z{constructor(F){super(F),this.text_decoder=new TextDecoder}decode_chain(F){const j=[];let te=[];for(const de of F){let he=null;if(de.length===6&&de.startsWith("<0x")&&de.endsWith(">")){const Ce=parseInt(de.slice(3,5),16);isNaN(Ce)||(he=Ce)}if(he!==null)te.push(he);else{if(te.length>0){const Ce=this.text_decoder.decode(Uint8Array.from(te));j.push(Ce),te=[]}j.push(de)}}if(te.length>0){const de=this.text_decoder.decode(Uint8Array.from(te));j.push(de),te=[]}return j}}class be extends z{decode_chain(F){return[F.join("")]}}class ve extends z{constructor(F){super(F),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(F){return F.map(j=>{let te=0;for(let he=0;he(te!==0&&(j.startsWith(this.config.prefix)?j=j.replace(this.config.prefix,""):j=" "+j),this.cleanup&&(j=A(j)),j))}}class Ae extends z{constructor(F){super(F),this.byte_decoder=H,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(F){const j=F.join(""),te=new Uint8Array([...j].map(he=>this.byte_decoder[he]));return this.text_decoder.decode(te)}decode_chain(F){const j=[];let te=[];for(const de of F)this.added_tokens.find(he=>he.content===de)!==void 0?(te.length>0&&(j.push(this.convert_tokens_to_string(te)),te=[]),j.push(de)):te.push(de);return te.length>0&&j.push(this.convert_tokens_to_string(te)),j}}class Ue extends z{constructor(F){super(F),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(F){if(F.length===0)return"";const j=[F[0]];for(let he=1;hehe!==this.pad_token).join("");return this.cleanup&&(de=A(de).replaceAll(this.word_delimiter_token," ").trim()),de}decode_chain(F){return[this.convert_tokens_to_string(F)]}}class Qe extends z{constructor(F){super(F),this.decoders=F.decoders.map(j=>z.fromConfig(j))}decode_chain(F){return this.decoders.reduce((j,te)=>te.decode_chain(j),F)}}class Xe extends z{constructor(F){super(F),this.suffix=this.config.suffix}decode_chain(F){return F.map((j,te)=>j.replaceAll(this.suffix,te===F.length-1?"":" "))}}class ct extends z{decode_chain(F){let j="";for(let te=1;tete.normalize("NFKC")).join("～"):F=F.normalize("NFKC"),F}}class dr extends K{constructor(F){super(),this.tokenizers=F.pretokenizers.map(j=>K.fromConfig(j))}pre_tokenize_text(F,j){return this.tokenizers.reduce((te,de)=>de.pre_tokenize(te,j),[F])}}class ds extends K{constructor(F){super()}pre_tokenize_text(F,j){return F.match(/\w+|[^\w\s]+/g)||[]}}class Fs extends K{constructor(F){super()}pre_tokenize_text(F,j){return g(F)}}class Dr extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern),this.content=this.config.content}pre_tokenize_text(F,j){return this.pattern===null?[F]:[F.replaceAll(this.pattern,this.config.content)]}}const cs=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function Os(ue,F,j,te){for(const de of Object.keys(ue)){const he=F-ue[de].length,Ce=j(de),We=new Array(he).fill(Ce);ue[de]=te==="right"?(0,i.mergeArrays)(ue[de],We):(0,i.mergeArrays)(We,ue[de])}}function jr(ue,F){for(const j of Object.keys(ue))ue[j].length=F}class dt extends s.Callable{constructor(j,te){super();re(this,"return_token_type_ids",!1);re(this,"padding_side","right");this._tokenizer_config=te,this.normalizer=le.fromConfig(j.normalizer),this.pre_tokenizer=K.fromConfig(j.pre_tokenizer),this.model=J.fromConfig(j.model,te),this.post_processor=Ie.fromConfig(j.post_processor),this.decoder=z.fromConfig(j.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const de of j.added_tokens){const he=new R(de);this.added_tokens.push(he),this.model.tokens_to_ids.set(he.content,he.id),this.model.vocab[he.id]=he.content,he.special&&(this.special_tokens.push(he.content),this.all_special_ids.push(he.id))}if(this.additional_special_tokens=te.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.slice().sort((de,he)=>he.content.length-de.content.length).map(de=>`${de.lstrip?"\\s*":""}(${(0,i.escapeRegExp)(de.content)})${de.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=te.model_max_length,this.remove_space=te.remove_space,this.clean_up_tokenization_spaces=te.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=te.do_lowercase_and_remove_accent??!1,te.padding_side&&(this.padding_side=te.padding_side),this.legacy=!1,this.chat_template=te.chat_template??null,Array.isArray(this.chat_template)){const de=Object.create(null);for(const{name:he,template:Ce}of this.chat_template){if(typeof he!="string"||typeof Ce!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');de[he]=Ce}this.chat_template=de}this._compiled_template_cache=new Map}getToken(...j){for(const te of j){const de=this._tokenizer_config[te];if(de)if(typeof de=="object"){if(de.__type==="AddedToken")return de.content;throw Error(`Unknown token: ${de}`)}else return de}return null}static async from_pretrained(j,{progress_callback:te=null,config:de=null,cache_dir:he=null,local_files_only:Ce=!1,revision:We="main",legacy:qe=null}={}){const Ke=await u(j,{progress_callback:te,config:de,cache_dir:he,local_files_only:Ce,revision:We,legacy:qe});return new this(...Ke)}_call(j,{text_pair:te=null,add_special_tokens:de=!0,padding:he=!1,truncation:Ce=null,max_length:We=null,return_tensor:qe=!0,return_token_type_ids:Ke=null}={}){const Ze=Array.isArray(j);let ht;if(Ze){if(j.length===0)throw Error("text array must be non-empty");if(te!==null){if(Array.isArray(te)){if(j.length!==te.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");ht=j.map((kt,Wt)=>this._encode_plus(kt,{text_pair:te[Wt],add_special_tokens:de,return_token_type_ids:Ke}))}else ht=j.map(kt=>this._encode_plus(kt,{add_special_tokens:de,return_token_type_ids:Ke}))}else{if(j==null)throw Error("text may not be null or undefined");if(Array.isArray(te))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");ht=[this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:Ke})]}if(We===null?he==="max_length"?We=this.model_max_length:We=(0,o.max)(ht.map(kt=>kt.input_ids.length))[0]:Ce||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),We=Math.min(We,this.model_max_length??1/0),he||Ce)for(let kt=0;ktWe?Ce&&jr(ht[kt],We):he&&Os(ht[kt],We,Wt=>Wt==="input_ids"?this.pad_token_id:0,this.padding_side));const Ct={};if(qe){if(!(he&&Ce)&&ht.some(Wt=>{var Ot;for(const Ut of Object.keys(Wt))if(Wt[Ut].length!==((Ot=ht[0][Ut])==null?void 0:Ot.length))return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const kt=[ht.length,ht[0].input_ids.length];for(const Wt of Object.keys(ht[0]))Ct[Wt]=new a.Tensor("int64",BigInt64Array.from(ht.flatMap(Ot=>Ot[Wt]).map(BigInt)),kt)}else{for(const kt of Object.keys(ht[0]))Ct[kt]=ht.map(Wt=>Wt[kt]);if(!Ze)for(const kt of Object.keys(Ct))Ct[kt]=Ct[kt][0]}return Ct}_encode_text(j){return j===null?null:(this.added_tokens_regex?j.split(this.added_tokens_regex).filter(he=>he):[j]).map((he,Ce)=>{if(this.added_tokens.find(qe=>qe.content===he)!==void 0)return he;{if(this.remove_space===!0&&(he=he.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(he=y(he)),this.normalizer!==null&&(he=this.normalizer(he)),he.length===0)return[];const qe=this.pre_tokenizer!==null?this.pre_tokenizer(he,{section_index:Ce}):[he];return this.model(qe)}}).flat()}_encode_plus(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){const{tokens:Ce,token_type_ids:We}=this._tokenize_helper(j,{pair:te,add_special_tokens:de}),qe=this.model.convert_tokens_to_ids(Ce),Ke={input_ids:qe,attention_mask:new Array(qe.length).fill(1)};return(he??this.return_token_type_ids)&&We&&(Ke.token_type_ids=We),Ke}_tokenize_helper(j,{pair:te=null,add_special_tokens:de=!1}={}){const he=this._encode_text(j),Ce=this._encode_text(te);return this.post_processor?this.post_processor(he,Ce,{add_special_tokens:de}):{tokens:(0,i.mergeArrays)(he??[],Ce??[])}}tokenize(j,{pair:te=null,add_special_tokens:de=!1}={}){return this._tokenize_helper(j,{pair:te,add_special_tokens:de}).tokens}encode(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){return this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:he}).input_ids}batch_decode(j,te={}){return j instanceof a.Tensor&&(j=j.tolist()),j.map(de=>this.decode(de,te))}decode(j,te={}){if(j instanceof a.Tensor&&(j=P(j)),!Array.isArray(j)||j.length===0||!(0,i.isIntegralNumber)(j[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(j,te)}decode_single(j,{skip_special_tokens:te=!1,clean_up_tokenization_spaces:de=null}){let he=this.model.convert_ids_to_tokens(j);te&&(he=he.filter(We=>!this.special_tokens.includes(We)));let Ce=this.decoder?this.decoder(he):he.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Ce=Ce.replaceAll(this.decoder.end_of_word_suffix," "),te&&(Ce=Ce.trim())),(de??this.clean_up_tokenization_spaces)&&(Ce=A(Ce)),Ce}get_chat_template({chat_template:j=null,tools:te=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const de=this.chat_template;if(j!==null&&Object.hasOwn(de,j))j=de[j];else if(j===null)if(te!==null&&"tool_use"in de)j=de.tool_use;else if("default"in de)j=de.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(de).sort()}.`)}else if(j===null)if(this.chat_template)j=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! 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Therefore, you may experience slightly inaccurate results.')}}class zt extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class kr extends dt{}class ps extends dt{}class hs extends dt{}class Er extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class ms extends Er{}class fs extends dt{}class Qr extends dt{}const Ps="▁";class qs extends dt{constructor(j,te){super(j,te);re(this,"padding_side","left");this.legacy=te.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new xt({replacement:Ps,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(j){if(j===null)return null;if(this.legacy||j.length===0)return super._encode_text(j);let te=super._encode_text(Ps+j.replaceAll(Ps," "));return te.length>1&&te[0]===Ps&&this.special_tokens.includes(te[1])&&(te=te.slice(1)),te}}class Qs extends dt{}class Xs extends dt{}class Js extends dt{}class _s extends dt{}class Ys extends dt{}class Zs extends dt{}class en extends dt{}class Lr extends dt{}class Cs extends dt{}function br(ue,F,j,te){if(!("language_codes"in ue)||!Array.isArray(ue.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in ue)||!(ue.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in ue)||typeof ue.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const de=te.src_lang,he=te.tgt_lang;if(!ue.language_codes.includes(he))throw new Error(`Target language code "${he}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);if(de!==void 0){if(!ue.language_codes.includes(de))throw new Error(`Source language code "${de}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);for(const Ce of ue.post_processor.config.single)if("SpecialToken"in Ce&&ue.languageRegex.test(Ce.SpecialToken.id)){Ce.SpecialToken.id=ue.lang_to_token(de);break}}return te.forced_bos_token_id=ue.model.convert_tokens_to_ids([ue.lang_to_token(he)])[0],ue._call(F,j)}class Ls extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class zs extends dt{constructor(F,j){super(F,j),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)).map(te=>te.slice(2,-2)),this.lang_to_token=te=>`__${te}__`}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class Ir extends dt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(F,{return_timestamps:j=!1,return_language:te=!1,time_precision:de=null,force_full_sequences:he=!0}={}){if(de===null)throw Error("Must specify time_precision");let Ce=null;const We=j==="word";function qe(){return{language:Ce,timestamp:[null,null],text:""}}const Ke=[];let Ze=qe(),ht=0;const Ct=this.timestamp_begin,Wt=Ct+1500;let Ot=[],Ut=[],vr=!1,_r=null;const Yr=new Set(this.all_special_ids);for(const Gt of F){const Zt=Gt.tokens,gr=We?Gt.token_timestamps:null;let Zr=null,ws=Ct;if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;if(ht-=Jt,_r=Rt-qt,Jt&&(ws=Jt/de+Ct),qt)for(let er=Zt.length-1;er>=0;--er){const ir=Number(Zt[er]);if(ir>=Ct){if(Zr!==null&&(ir-Ct)*de<_r)break;Zr=ir}}}let Ht=[],ur=[];for(let Rt=0;Rt=Ct&&Jt<=Wt){const qt=(Jt-Ct)*de+ht,er=(0,o.round)(qt,2);if(Zr!==null&&Jt>=Zr)vr=!0;else if(vr||Ot.length>0&&Jt0?(Ot.push(Ht),We&&Ut.push(ur)):Ot.every(Rt=>Rt.length===0)&&(Ze=qe(),Ot=[],Ht=[],Ut=[],ur=[])}if(Ot.length>0){if(he&&j)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[Gt,Zt]=this.findLongestCommonSequence(Ot,Ut),gr=this.decode(Gt);Ze.text=gr,We&&(Ze.words=this.collateWordTimestamps(Gt,Zt,Ce)),Ke.push(Ze)}let xr=Object.create(null);const gs=Ke.map(Gt=>Gt.text).join("");if(j||te){for(let Gt=0;Gt0;let We=Ce?[]:null,qe=Ce?j[0]:null;for(let Ke=1;KeJt===ws[qt]&&qe[gs+qt]<=j[Ke][gr+qt]).length:Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]).length;const ur=xr/1e4,Rt=Ht/xr+ur;Ht>1&&Rt>ht&&(ht=Rt,Ct=[gs,Gt,gr,Zr])}const[Wt,Ot,Ut,vr]=Ct,_r=Math.floor((Ot+Wt)/2),Yr=Math.floor((vr+Ut)/2);he.push(...te.slice(0,_r)),te=Ze.slice(Yr),de=te.length,Ce&&(We.push(...qe.slice(0,_r)),qe=j[Ke].slice(Yr))}return he.push(...te),Ce?(We.push(...qe),[he,We]):[he,[]]}collateWordTimestamps(F,j,te){const[de,he,Ce]=this.combineTokensIntoWords(F,te),We=[];for(let qe=0;qe=de){const We=((Ce-de)*te).toFixed(2);he.push(`<|${We}|>`),he.push([])}else he[he.length-1].push(Ce);return he=he.map(Ce=>typeof Ce=="string"?Ce:super.decode(Ce,j)),he.join("")}splitTokensOnUnicode(F){const j=this.decode(F,{decode_with_timestamps:!0}),te="�",de=[],he=[],Ce=[];let We=[],qe=[],Ke=0;for(let Ze=0;Ze=this.model.tokens_to_ids.get("<|endoftext|>"),Wt=Ze.startsWith(" "),Ot=Ze.trim(),Ut=qe.test(Ot);if(kt||Wt||Ut||he.length===0)he.push(Ze),Ce.push(ht),We.push(Ct);else{const vr=he.length-1;he[vr]+=Ze,Ce[vr].push(...ht),We[vr].push(...Ct)}}return[he,Ce,We]}mergePunctuations(F,j,te,de,he){const Ce=structuredClone(F),We=structuredClone(j),qe=structuredClone(te);let Ke=Ce.length-2,Ze=Ce.length-1;for(;Ke>=0;)Ce[Ke].startsWith(" ")&&de.includes(Ce[Ke].trim())?(Ce[Ze]=Ce[Ke]+Ce[Ze],We[Ze]=(0,i.mergeArrays)(We[Ke],We[Ze]),qe[Ze]=(0,i.mergeArrays)(qe[Ke],qe[Ze]),Ce[Ke]="",We[Ke]=[],qe[Ke]=[]):Ze=Ke,--Ke;for(Ke=0,Ze=1;Zeht),We.filter(ht=>ht.length>0),qe.filter(ht=>ht.length>0)]}}class Xr extends dt{}class Tn extends dt{}class zr extends dt{}class En extends dt{constructor(F,j){super(F,j),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(te=>this.languageRegex.test(te)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(F){if(F===null)return null;const[j,...te]=F.trim().split(this.languageRegex);if(te.length===0)return super._encode_text(j);if(te.length===2){const[de,he]=te;return this.supported_language_codes.includes(de)||console.warn(`Unsupported language code "${de}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,i.mergeArrays)([de],super._encode_text(he))}}}class Bs extends dt{}class Ar extends dt{}class Jr extends dt{}class cr extends dt{}class fr extends dt{}class Rs extends dt{constructor(F,j){super(F,j),this.decoder=new ct({})}}class Pn extends dt{}class Ss extends dt{}class Cn{static async from_pretrained(F,{progress_callback:j=null,config:te=null,cache_dir:de=null,local_files_only:he=!1,revision:Ce="main",legacy:We=null}={}){var Ct;const[qe,Ke]=await u(F,{progress_callback:j,config:te,cache_dir:de,local_files_only:he,revision:Ce,legacy:We}),Ze=((Ct=Ke.tokenizer_class)==null?void 0:Ct.replace(/Fast$/,""))??"PreTrainedTokenizer";let ht=this.TOKENIZER_CLASS_MAPPING[Ze];return ht||(console.warn(`Unknown tokenizer class "${Ze}", attempting to construct from base class.`),ht=dt),new ht(qe,Ke)}}re(Cn,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer:kr,DistilBertTokenizer:et,CamembertTokenizer:it,DebertaTokenizer:Ts,DebertaV2Tokenizer:Es,BertTokenizer:qr,HerbertTokenizer:Ds,ConvBertTokenizer:mr,RoFormerTokenizer:Be,XLMTokenizer:rr,ElectraTokenizer:zt,MobileBertTokenizer:us,SqueezeBertTokenizer:xs,AlbertTokenizer:Ur,GPT2Tokenizer:ps,BartTokenizer:hs,MBartTokenizer:Er,MBart50Tokenizer:ms,RobertaTokenizer:fs,WhisperTokenizer:Ir,CodeGenTokenizer:Xr,CLIPTokenizer:Tn,SiglipTokenizer:zr,MarianTokenizer:En,BloomTokenizer:Qr,NllbTokenizer:Ls,M2M100Tokenizer:zs,LlamaTokenizer:qs,CodeLlamaTokenizer:Qs,XLMRobertaTokenizer:Xs,MPNetTokenizer:Js,FalconTokenizer:_s,GPTNeoXTokenizer:Ys,EsmTokenizer:Zs,Wav2Vec2CTCTokenizer:Bs,BlenderbotTokenizer:Ar,BlenderbotSmallTokenizer:Jr,SpeechT5Tokenizer:cr,NougatTokenizer:fr,VitsTokenizer:Rs,Qwen2Tokenizer:en,GemmaTokenizer:Lr,Grok1Tokenizer:Cs,CohereTokenizer:Pn,MgpstrTokenizer:Ss,PreTrainedTokenizer:dt})},"./src/utils/audio.js":(e,r,t)=>{t.r(r),t.d(r,{RawAudio:()=>q,hamming:()=>h,hanning:()=>u,mel_filter_bank:()=>S,read_audio:()=>d,spectrogram:()=>k,window_function:()=>B});var s=t("./src/utils/hub.js"),i=t("./src/utils/maths.js"),n=t("./src/utils/core.js"),o=t("./src/env.js"),a=t("?7a2c"),l=t("./src/utils/tensor.js");async function d(V,Y){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. 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For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const H=await(await(0,s.getFile)(V)).arrayBuffer(),Q=new AudioContext({sampleRate:Y});typeof Y>"u"&&console.warn(`No sampling rate provided, using default of ${Q.sampleRate}Hz.`);const ie=await Q.decodeAudioData(H);let le;if(ie.numberOfChannels===2){const ae=Math.sqrt(2),ge=ie.getChannelData(0),N=ie.getChannelData(1);le=new Float32Array(ge.length);for(let O=0;O2595*Math.log10(1+V/700),kaldi:V=>1127*Math.log(1+V/700),slaney:(V,Y=1e3,H=15,Q=27/Math.log(6.4))=>V>=Y?H+Math.log(V/Y)*Q:3*V/200};function _(V,Y="htk"){const H=w[Y];if(!H)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof V=="number"?H(V):V.map(Q=>H(Q))}const P={htk:V=>700*(10**(V/2595)-1),kaldi:V=>700*(Math.exp(V/1127)-1),slaney:(V,Y=1e3,H=15,Q=Math.log(6.4)/27)=>V>=H?Y*Math.exp(Q*(V-H)):200*V/3};function A(V,Y="htk"){const H=P[Y];if(!H)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof V=="number"?H(V):V.map(Q=>H(Q))}function v(V,Y){const H=Float64Array.from({length:Y.length-1},(ae,ge)=>Y[ge+1]-Y[ge]),Q=Array.from({length:V.length},()=>new Array(Y.length));for(let ae=0;aenew Array(V.length));for(let ae=0;aeV+Q*le)}function S(V,Y,H,Q,ie,le=null,ae="htk",ge=!1){if(le!==null&&le!=="slaney")throw new Error('norm must be one of null or "slaney"');const N=_(H,ae),O=_(Q,ae),G=y(N,O,Y+2);let ne=A(G,ae),X;if(ge){const fe=ie/(V*2);X=_(Float64Array.from({length:V},(ke,He)=>He*fe),ae),ne=G}else X=y(0,Math.floor(ie/2),V);const we=v(X,ne);if(le!==null&&le==="slaney")for(let fe=0;feie)throw Error(`frame_length (${H}) may not be larger than fft_length (${ie})`);if(Pe!==H)throw new Error(`Length of the window (${Pe}) must equal frame_length (${H})`);if(Q<=0)throw new Error("hop_length must be greater than zero");if(le===null&&G!==null)throw new Error("You have provided `mel_filters` but `power` is `None`. 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The following inputs will be ignored: "${Se.join(", ")}".`)}return L}async function q(x,S){const L=J(x,S);try{const oe=Object.fromEntries(Object.entries(L).map(([me,Se])=>[me,Se.ort_tensor]));let fe=await x.run(oe);return fe=V(fe),fe}catch(oe){const fe=Object.fromEntries(Object.entries(L).map(([me,{type:Se,dims:De,data:Ge}])=>[me,{type:Se,dims:De,data:Ge}]));throw console.error(`An error occurred during model execution: "${oe}".`),console.error("Inputs given to model:",fe),oe}}function V(x){for(let S in x)(0,i.isONNXTensor)(x[S])?x[S]=new h.Tensor(x[S]):typeof x[S]=="object"&&V(x[S]);return x}function Y(x){if(x instanceof h.Tensor)return x;if(x.length===0)throw Error("items must be non-empty");if(Array.isArray(x[0])){if(x.some(S=>S.length!==x[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new h.Tensor("int64",BigInt64Array.from(x.flat().map(S=>BigInt(S))),[x.length,x[0].length])}else return new h.Tensor("int64",BigInt64Array.from(x.map(S=>BigInt(S))),[1,x.length])}function H(x){return new h.Tensor("bool",[x],[1])}async function Q(x,S){let{encoder_outputs:L,input_ids:oe,decoder_input_ids:fe,...me}=S;if(!L){const De=(0,a.pick)(S,x.sessions.model.inputNames);L=(await ie(x,De)).last_hidden_state}return me.input_ids=fe,me.encoder_hidden_states=L,x.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(me.encoder_attention_mask=S.attention_mask),await ae(x,me,!0)}async function ie(x,S){const L=x.sessions.model,oe=(0,a.pick)(S,L.inputNames);if(L.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds){if(!S.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");oe.inputs_embeds=await x.encode_text({input_ids:S.input_ids})}if(L.inputNames.includes("token_type_ids")&&!oe.token_type_ids){if(!oe.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");oe.token_type_ids=(0,h.zeros_like)(oe.input_ids)}if(L.inputNames.includes("pixel_mask")&&!oe.pixel_mask){if(!oe.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const fe=oe.pixel_values.dims;oe.pixel_mask=(0,h.ones)([fe[0],fe[2],fe[3]])}return await q(L,oe)}async function le(x,S){const L=await x.encode(S);return await x.decode(L)}async function ae(x,S,L=!1){const oe=x.sessions[L?"decoder_model_merged":"model"],{past_key_values:fe,...me}=S;if(oe.inputNames.includes("use_cache_branch")&&(me.use_cache_branch=H(!!fe)),oe.inputNames.includes("position_ids")&&me.attention_mask&&!me.position_ids){const De=["paligemma","gemma3_text","gemma3"].includes(x.config.model_type)?1:0;me.position_ids=_e(me,fe,De)}x.addPastKeyValues(me,fe);const Se=(0,a.pick)(me,oe.inputNames);return await q(oe,Se)}function we({modality_token_id:x,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:fe}){const me=oe.tolist().map(Je=>Je.reduce((lt,yt,st)=>(yt==x&<.push(st),lt),[])),Se=me.reduce((Je,lt)=>Je+lt.length,0),De=L.dims[0];if(Se!==De)throw new Error(`Number of tokens and features do not match: tokens: ${Se}, features ${De}`);let Ge=0;for(let Je=0;Jeme.dims[1])){if(feDe==x.config.image_token_index)){const De=x.config.num_image_tokens;if(!De)throw new Error("`num_image_tokens` is missing in the model configuration.");const Ge=me.dims[1]-(fe-De);L.input_ids=me.slice(null,[-Ge,null]),L.attention_mask=(0,h.ones)([1,fe+Ge])}}}return L}function He(x,S,L,oe){return L.past_key_values&&(S=S.map(fe=>[fe.at(-1)])),{...L,decoder_input_ids:Y(S)}}function Me(x,...S){return x.config.is_encoder_decoder?He(x,...S):ke(x,...S)}function K(x,S,L,oe){const fe=!!L.past_key_values;return oe.guidance_scale!==null&&oe.guidance_scale>1&&(fe?L.input_ids=(0,h.cat)([L.input_ids,L.input_ids],0):(L.input_ids=(0,h.cat)([L.input_ids,(0,h.full_like)(L.input_ids,BigInt(oe.pad_token_id))],0),L.attention_mask=(0,h.cat)([L.attention_mask,(0,h.full_like)(L.attention_mask,0n)],0))),(fe||!L.pixel_values)&&(L.pixel_values=(0,h.full)([0,0,3,384,384],1)),fe&&(L.images_seq_mask=new h.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),L.images_emb_mask=new h.Tensor("bool",new Array(0).fill(!1),[1,1,0])),L}class U extends o.Callable{constructor(L,oe,fe){super();re(this,"main_input_name","input_ids");re(this,"forward_params",["input_ids","attention_mask"]);this.config=L,this.sessions=oe,this.configs=fe;const me=E.get(this.constructor),Se=g.get(me);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,Se){case T.DecoderOnly:this.can_generate=!0,this._forward=ae,this._prepare_inputs_for_generation=ke;break;case T.Seq2Seq:case T.Vision2Seq:case T.Musicgen:this.can_generate=!0,this._forward=Q,this._prepare_inputs_for_generation=He;break;case T.EncoderDecoder:this._forward=Q;break;case T.ImageTextToText:this.can_generate=!0,this._forward=X,this._prepare_inputs_for_generation=Me;break;case T.AudioTextToText:this.can_generate=!0,this._forward=ne,this._prepare_inputs_for_generation=Me;break;case T.Phi3V:this.can_generate=!0,this._prepare_inputs_for_generation=Me;break;case T.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=K;break;case T.AutoEncoder:this._forward=le;break;default:this._forward=ie;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var oe;const L=[];for(const fe of Object.values(this.sessions))(oe=fe==null?void 0:fe.handler)!=null&&oe.dispose&&L.push(fe.handler.dispose());return await Promise.all(L)}static async from_pretrained(L,{progress_callback:oe=null,config:fe=null,cache_dir:me=null,local_files_only:Se=!1,revision:De="main",model_file_name:Ge=null,subfolder:Je="onnx",device:lt=null,dtype:yt=null,use_external_data_format:st=null,session_options:Et={}}={}){let at={progress_callback:oe,config:fe,cache_dir:me,local_files_only:Se,revision:De,model_file_name:Ge,subfolder:Je,device:lt,dtype:yt,use_external_data_format:st,session_options:Et};const vt=E.get(this),ct=g.get(vt);fe=at.config=await s.AutoConfig.from_pretrained(L,at);let Tt;if(ct===T.DecoderOnly)Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.Seq2Seq||ct===T.Vision2Seq)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.MaskGeneration)Tt=await Promise.all([B(L,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},at)]);else if(ct===T.EncoderDecoder)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at)]);else if(ct===T.ImageTextToText){const Lt={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};fe.is_encoder_decoder&&(Lt.model="encoder_model"),Tt=await Promise.all([B(L,Lt,at),N(L,{generation_config:"generation_config.json"},at)])}else if(ct===T.AudioTextToText){const Lt={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};Tt=await Promise.all([B(L,Lt,at),N(L,{generation_config:"generation_config.json"},at)])}else if(ct===T.Musicgen)Tt=await Promise.all([B(L,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.MultiModality)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.Phi3V)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.AutoEncoder)Tt=await Promise.all([B(L,{encoder_model:"encoder_model",decoder_model:"decoder_model"},at)]);else{if(ct!==T.EncoderOnly){const Lt=vt??(fe==null?void 0:fe.model_type);Lt!=="custom"&&console.warn(`Model type for '${Lt}' not found, assuming encoder-only architecture. Please report this at ${d.GITHUB_ISSUE_URL}.`)}Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at)])}return new this(fe,...Tt)}async _call(L){return await this.forward(L)}async forward(L){return await this._forward(this,L)}get generation_config(){var L;return((L=this.configs)==null?void 0:L.generation_config)??null}_get_logits_warper(L){const oe=new p.LogitsProcessorList;return L.temperature!==null&&L.temperature!==1&&oe.push(new p.TemperatureLogitsWarper(L.temperature)),L.top_k!==null&&L.top_k!==0&&oe.push(new p.TopKLogitsWarper(L.top_k)),L.top_p!==null&&L.top_p<1&&oe.push(new p.TopPLogitsWarper(L.top_p)),oe}_get_logits_processor(L,oe,fe=null){const me=new p.LogitsProcessorList;if(L.repetition_penalty!==null&&L.repetition_penalty!==1&&me.push(new p.RepetitionPenaltyLogitsProcessor(L.repetition_penalty)),L.no_repeat_ngram_size!==null&&L.no_repeat_ngram_size>0&&me.push(new p.NoRepeatNGramLogitsProcessor(L.no_repeat_ngram_size)),L.bad_words_ids!==null&&me.push(new p.NoBadWordsLogitsProcessor(L.bad_words_ids,L.eos_token_id)),L.min_length!==null&&L.eos_token_id!==null&&L.min_length>0&&me.push(new p.MinLengthLogitsProcessor(L.min_length,L.eos_token_id)),L.min_new_tokens!==null&&L.eos_token_id!==null&&L.min_new_tokens>0&&me.push(new p.MinNewTokensLengthLogitsProcessor(oe,L.min_new_tokens,L.eos_token_id)),L.forced_bos_token_id!==null&&me.push(new p.ForcedBOSTokenLogitsProcessor(L.forced_bos_token_id)),L.forced_eos_token_id!==null&&me.push(new p.ForcedEOSTokenLogitsProcessor(L.max_length,L.forced_eos_token_id)),L.begin_suppress_tokens!==null){const Se=oe>1||L.forced_bos_token_id===null?oe:oe+1;me.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se))}return L.guidance_scale!==null&&L.guidance_scale>1&&me.push(new p.ClassifierFreeGuidanceLogitsProcessor(L.guidance_scale)),fe!==null&&me.extend(fe),me}_prepare_generation_config(L,oe,fe=u.GenerationConfig){const me={...this.config};for(const De of["decoder","generator","text_config"])De in me&&Object.assign(me,me[De]);const Se=new fe(me);return Object.assign(Se,this.generation_config??{}),L&&Object.assign(Se,L),oe&&Object.assign(Se,(0,a.pick)(oe,Object.getOwnPropertyNames(Se))),Se}_get_stopping_criteria(L,oe=null){const fe=new P.StoppingCriteriaList;return L.max_length!==null&&fe.push(new P.MaxLengthCriteria(L.max_length,this.config.max_position_embeddings??null)),L.eos_token_id!==null&&fe.push(new P.EosTokenCriteria(L.eos_token_id)),oe&&fe.extend(oe),fe}_validate_model_class(){if(!this.can_generate){const L=[vu,xu,bu,Mu],oe=E.get(this.constructor),fe=new Set,me=this.config.model_type;for(const De of L){const Ge=De.get(me);Ge&&fe.add(Ge[0])}let Se=`The current model class (${oe}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw fe.size>0&&(Se+=` Please use the following class instead: ${[...fe].join(", ")}`),Error(Se)}}prepare_inputs_for_generation(...L){return this._prepare_inputs_for_generation(this,...L)}_update_model_kwargs_for_generation({generated_input_ids:L,outputs:oe,model_inputs:fe,is_encoder_decoder:me}){return fe.past_key_values=this.getPastKeyValues(oe,fe.past_key_values),fe.input_ids=new h.Tensor("int64",L.flat(),[L.length,1]),me||(fe.attention_mask=(0,h.cat)([fe.attention_mask,(0,h.ones)([fe.attention_mask.dims[0],1])],1)),fe.position_ids=null,fe}_prepare_model_inputs({inputs:L,bos_token_id:oe,model_kwargs:fe}){const me=(0,a.pick)(fe,this.forward_params),Se=this.main_input_name;if(Se in me){if(L)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else me[Se]=L;return{inputs_tensor:me[Se],model_inputs:me,model_input_name:Se}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:L,model_inputs:oe,model_input_name:fe,generation_config:me}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:De,pixel_values:Ge,attention_mask:Je,...lt}=oe,yt=await this._prepare_inputs_embeds(oe);oe={...lt,...(0,a.pick)(yt,["inputs_embeds","attention_mask"])}}let{last_hidden_state:Se}=await ie(this,oe);if(me.guidance_scale!==null&&me.guidance_scale>1)Se=(0,h.cat)([Se,(0,h.full_like)(Se,0)],0),"attention_mask"in oe&&(oe.attention_mask=(0,h.cat)([oe.attention_mask,(0,h.zeros_like)(oe.attention_mask)],0));else if(oe.decoder_input_ids){const De=Y(oe.decoder_input_ids).dims[0];if(De!==Se.dims[0]){if(Se.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${Se.dims[0]}) than the decoder inputs (${De}).`);Se=(0,h.cat)(Array.from({length:De},()=>Se),0)}}return oe.encoder_outputs=Se,oe}_prepare_decoder_input_ids_for_generation({batch_size:L,model_input_name:oe,model_kwargs:fe,decoder_start_token_id:me,bos_token_id:Se,generation_config:De}){let{decoder_input_ids:Ge,...Je}=fe;if(!(Ge instanceof h.Tensor)){if(Ge)Array.isArray(Ge[0])||(Ge=Array.from({length:L},()=>Ge));else if(me??(me=Se),this.config.model_type==="musicgen")Ge=Array.from({length:L*this.config.decoder.num_codebooks},()=>[me]);else if(Array.isArray(me)){if(me.length!==L)throw new Error(`\`decoder_start_token_id\` expcted to have length ${L} but got ${me.length}`);Ge=me}else Ge=Array.from({length:L},()=>[me]);Ge=Y(Ge)}return fe.decoder_attention_mask=(0,h.ones_like)(Ge),{input_ids:Ge,model_inputs:Je}}async generate({inputs:L=null,generation_config:oe=null,logits_processor:fe=null,stopping_criteria:me=null,streamer:Se=null,...De}){this._validate_model_class(),oe=this._prepare_generation_config(oe,De);let{inputs_tensor:Ge,model_inputs:Je,model_input_name:lt}=this._prepare_model_inputs({inputs:L,model_kwargs:De});const yt=this.config.is_encoder_decoder;yt&&("encoder_outputs"in Je||(Je=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Ge,model_inputs:Je,model_input_name:lt,generation_config:oe})));let st;yt?{input_ids:st,model_inputs:Je}=this._prepare_decoder_input_ids_for_generation({batch_size:Je[lt].dims.at(0),model_input_name:lt,model_kwargs:Je,decoder_start_token_id:oe.decoder_start_token_id,bos_token_id:oe.bos_token_id,generation_config:oe}):st=Je[lt];let Et=st.dims.at(-1);oe.max_new_tokens!==null&&(oe.max_length=Et+oe.max_new_tokens);const at=this._get_logits_processor(oe,Et,fe),vt=this._get_stopping_criteria(oe,me),ct=Je[lt].dims.at(0),Tt=A.LogitsSampler.getSampler(oe),Lt=new Array(ct).fill(0),Qt=st.tolist();Se&&Se.put(Qt);let yr,Pt={};for(;;){if(Je=this.prepare_inputs_for_generation(Qt,Je,oe),yr=await this.forward(Je),oe.output_attentions&&oe.return_dict_in_generate){const Sr=this.getAttentions(yr);for(const $s in Sr)$s in Pt||(Pt[$s]=[]),Pt[$s].push(Sr[$s])}const sr=yr.logits.slice(null,-1,null),Wr=at(Qt,sr),dn=[];for(let Sr=0;SrSr))break;Je=this._update_model_kwargs_for_generation({generated_input_ids:dn,outputs:yr,model_inputs:Je,is_encoder_decoder:yt})}Se&&Se.end();const Nt=this.getPastKeyValues(yr,Je.past_key_values,!0),tr=new h.Tensor("int64",Qt.flat(),[Qt.length,Qt[0].length]);if(oe.return_dict_in_generate)return{sequences:tr,past_key_values:Nt,...Pt};for(const sr of Object.values(yr))sr.location==="gpu-buffer"&&sr.dispose();return tr}getPastKeyValues(L,oe,fe=!1){const me=Object.create(null);for(const Se in L)if(Se.startsWith("present")){const De=Se.replace("present","past_key_values"),Ge=Se.includes("encoder");if(Ge&&oe?me[De]=oe[De]:me[De]=L[Se],oe&&(!Ge||fe)){const Je=oe[De];Je.location==="gpu-buffer"&&Je.dispose()}}return me}getAttentions(L){const oe={};for(const fe of["cross_attentions","encoder_attentions","decoder_attentions"])for(const me in L)me.startsWith(fe)&&(fe in oe||(oe[fe]=[]),oe[fe].push(L[me]));return oe}addPastKeyValues(L,oe){var fe,me,Se;if(oe)Object.assign(L,oe);else{const De=this.sessions.decoder_model_merged??this.sessions.model,Ge=((fe=De==null?void 0:De.config)==null?void 0:fe.kv_cache_dtype)??"float32",Je=Ge==="float16"?new h.DataTypeMap.float16:[],lt=((Se=(me=L[this.main_input_name]??L.attention_mask)==null?void 0:me.dims)==null?void 0:Se[0])??1,yt=(0,s.getKeyValueShapes)(this.config,{batch_size:lt});for(const st in yt)L[st]=new h.Tensor(Ge,Je,yt[st])}}async encode_image({pixel_values:L}){const oe=(await q(this.sessions.vision_encoder,{pixel_values:L})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${oe.dims[1]}).`),this.config.num_image_tokens=oe.dims[1]),oe}async encode_text({input_ids:L}){return(await q(this.sessions.embed_tokens,{input_ids:L})).inputs_embeds}async encode_audio({audio_values:L}){return(await q(this.sessions.audio_encoder,{audio_values:L})).audio_features}}class pe{}class Pe extends pe{constructor({last_hidden_state:S,hidden_states:L=null,attentions:oe=null}){super(),this.last_hidden_state=S,this.hidden_states=L,this.attentions=oe}}class Te extends U{}class Ae extends Te{}class Ie extends Te{async _call(S){return new wr(await super._call(S))}}class Le extends Te{async _call(S){return new bt(await super._call(S))}}class Ne extends Te{async _call(S){return new pr(await super._call(S))}}class Ve extends Te{async _call(S){return new Cr(await super._call(S))}}class D extends U{}class Z extends D{}class z extends D{async _call(S){return new wr(await super._call(S))}}class ee extends D{async _call(S){return new bt(await super._call(S))}}class ce extends D{async _call(S){return new pr(await super._call(S))}}class be extends U{}class ve extends be{}class Re extends U{}class Fe extends Re{}class je extends Re{async _call(S){return new wr(await super._call(S))}}class Qe extends Re{async _call(S){return new bt(await super._call(S))}}class Xe extends Re{async _call(S){return new pr(await super._call(S))}}class ut extends Re{async _call(S){return new Cr(await super._call(S))}}class wt extends U{}class nr extends wt{}class jt extends wt{async _call(S){return new wr(await super._call(S))}}class dr extends wt{async _call(S){return new bt(await super._call(S))}}class ds extends wt{async _call(S){return new pr(await super._call(S))}}class Fs extends wt{async _call(S){return new Cr(await super._call(S))}}class Dr extends U{}class cs extends Dr{}class Os extends Dr{async _call(S){return new wr(await super._call(S))}}class jr extends Dr{async _call(S){return new bt(await super._call(S))}}class dt extends Dr{async _call(S){return new pr(await super._call(S))}}class qr extends Dr{async _call(S){return new Cr(await super._call(S))}}class Ur extends U{}class us extends Ur{}class xs extends Ur{async _call(S){return new wr(await super._call(S))}}class Ts extends Ur{async _call(S){return new bt(await super._call(S))}}class Es extends Ur{async _call(S){return new pr(await super._call(S))}}class Ds extends Ur{async _call(S){return new Cr(await super._call(S))}}class mr extends U{}class Be extends mr{}class et extends mr{async _call(S){return new wr(await super._call(S))}}class it extends mr{async _call(S){return new bt(await super._call(S))}}class rr extends mr{async _call(S){return new pr(await super._call(S))}}class zt extends mr{async _call(S){return new Cr(await super._call(S))}}class Ir extends U{}class ps extends Ir{}class hs extends Ir{async _call(S){return new wr(await super._call(S))}}class Er extends Ir{async _call(S){return new bt(await super._call(S))}}class ms extends Ir{async _call(S){return new pr(await super._call(S))}}class _s extends Ir{async _call(S){return new Cr(await super._call(S))}}class Qr extends U{}class Ps extends Qr{}class qs extends Qr{async _call(S){return new bt(await super._call(S))}}class Qs extends Qr{async _call(S){return new pr(await super._call(S))}}class Xs extends Qr{async _call(S){return new Cr(await super._call(S))}}class Js extends Qr{async _call(S){return new wr(await super._call(S))}}class fs extends U{}class Ys extends fs{}class Zs extends fs{async _call(S){return new wr(await super._call(S))}}class en extends fs{async _call(S){return new bt(await super._call(S))}}class Lr extends fs{async _call(S){return new pr(await super._call(S))}}class Cs extends U{}class br extends Cs{}class Ls extends Cs{async _call(S){return new wr(await super._call(S))}}class zs extends Cs{async _call(S){return new bt(await super._call(S))}}class Ar extends Cs{async _call(S){return new Cr(await super._call(S))}}class Xr extends U{}class Tn extends Xr{}class zr extends Xr{async _call(S){return new wr(await super._call(S))}}class En extends Xr{async _call(S){return new bt(await super._call(S))}}class Bs extends Xr{async _call(S){return new pr(await super._call(S))}}class Fr extends Xr{async _call(S){return new Cr(await super._call(S))}}class Jr extends U{}class cr extends Jr{}class _r extends Jr{async _call(S){return new wr(await super._call(S))}}class Rs extends Jr{async _call(S){return new bt(await super._call(S))}}class Pn extends Jr{async _call(S){return new Cr(await super._call(S))}}class Ss extends U{}class Cn extends Ss{}class ue extends Ss{async _call(S){return new bt(await super._call(S))}}class F extends Ss{async _call(S){return new Cr(await super._call(S))}}class j extends Ss{async _call(S){return new wr(await super._call(S))}}class te extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class de extends te{}class he extends te{}class Ce extends U{}class We extends Ce{}class qe extends Ce{}class Ke extends U{}class Ze extends Ke{}class ht extends Ke{}class Ct extends U{}class kt extends Ct{}class Wt extends Ct{}class Ot extends Ct{async _call(S){return new bt(await super._call(S))}}class Ut extends U{}class vr extends Ut{}class fr extends Ut{}class Yr extends Ut{async _call(S){return new bt(await super._call(S))}}class xr extends Ut{}class gs extends U{}class Gt extends gs{}class Zt extends gs{}class gr extends U{}class Zr extends gr{}class ws extends gr{}class Ht extends U{}class ur extends Ht{}class Rt extends Ht{async _call(S){return new wr(await super._call(S))}}class Jt extends Ht{async _call(S){return new bt(await super._call(S))}}class qt extends Ht{async _call(S){return new pr(await super._call(S))}}class er extends Ht{async _call(S){return new Cr(await super._call(S))}}class ir extends U{}class tn extends ir{}class rn extends ir{async _call(S){return new wr(await super._call(S))}}class La extends ir{async _call(S){return new bt(await super._call(S))}}class Vi extends ir{async _call(S){return new pr(await super._call(S))}}class za extends ir{async _call(S){return new Cr(await super._call(S))}}class ys extends U{}class Ba extends ys{}class Ra extends ys{async _call(S){return new wr(await super._call(S))}}class Sn extends ys{async _call(S){return new bt(await super._call(S))}}class Na extends ys{async _call(S){return new pr(await super._call(S))}}class Wi extends ys{async _call(S){return new Cr(await super._call(S))}}class Gi extends U{}class ja extends Gi{}class Ua extends Gi{}class Gn extends U{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_features");re(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class Va extends Gn{}class Ki extends Gn{_prepare_generation_config(S,L){return super._prepare_generation_config(S,L,y.WhisperGenerationConfig)}_retrieve_init_tokens(S){const L=[S.decoder_start_token_id];let oe=S.language;const fe=S.task;if(S.is_multilingual){oe||(console.warn("No language specified - defaulting to English (en)."),oe="en");const Se=`<|${(0,$.whisper_language_to_code)(oe)}|>`;L.push(S.lang_to_id[Se]),L.push(S.task_to_id[fe??"transcribe"])}else if(oe||fe)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!S.return_timestamps&&S.no_timestamps_token_id&&L.at(-1)!==S.no_timestamps_token_id?L.push(S.no_timestamps_token_id):S.return_timestamps&&L.at(-1)===S.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),L.pop()),L.filter(me=>me!=null)}async generate({inputs:S=null,generation_config:L=null,logits_processor:oe=null,stopping_criteria:fe=null,...me}){L=this._prepare_generation_config(L,me);const Se=me.decoder_input_ids??this._retrieve_init_tokens(L);if(L.return_timestamps&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.WhisperTimeStampLogitsProcessor(L,Se))),L.begin_suppress_tokens&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se.length))),L.return_token_timestamps){if(!L.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");L.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),L.output_attentions=!0,L.return_dict_in_generate=!0}const De=await super.generate({inputs:S,generation_config:L,logits_processor:oe,decoder_input_ids:Se,...me});return L.return_token_timestamps&&(De.token_timestamps=this._extract_token_timestamps(De,L.alignment_heads,L.num_frames)),De}_extract_token_timestamps(S,L,oe=null,fe=.02){if(!S.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");oe==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let me=this.config.median_filter_width;me===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),me=7);const Se=S.cross_attentions,De=Array.from({length:this.config.decoder_layers},(vt,ct)=>(0,h.cat)(Se.map(Tt=>Tt[ct]),2)),Ge=(0,h.stack)(L.map(([vt,ct])=>{if(vt>=De.length)throw new Error(`Layer index ${vt} is out of bounds for cross attentions (length ${De.length}).`);return oe?De[vt].slice(null,ct,null,[0,oe]):De[vt].slice(null,ct)})).transpose(1,0,2,3),[Je,lt]=(0,h.std_mean)(Ge,-2,0,!0),yt=Ge.clone();for(let vt=0;vtTt[tr+1]-Tt[tr]),yr=(0,a.mergeArrays)([1],Qt).map(Nt=>!!Nt),Pt=[];for(let Nt=0;Ntst.findIndex(Et=>Et==me)),Ge=De.every(st=>st===-1),Je=De.every(st=>st!==-1);if(!Ge&&!Je)throw new Error("Every input should contain either 0 or 1 image token.");if(Ge)return{inputs_embeds:S,attention_mask:fe};const lt=[],yt=[];for(let st=0;stArray.from({length:S.dims[0]},Qt=>Array.from({length:S.dims[1]},yr=>1))),at=L?L.tolist():[],vt=oe?oe.tolist():[];let ct=0,Tt=0;for(let Lt=0;Ltst[Lt][or]==1),Pt=Qt.reduce((Kt,or,cn)=>(or==Ge&&Kt.push(cn),Kt),[]).map(Kt=>Qt[Kt+1]),Nt=Pt.filter(Kt=>Kt==Se).length,tr=Pt.filter(Kt=>Kt==De).length;let sr=[],Wr=0,dn=Nt,Zl=tr;for(let Kt=0;KtMs>Wr&&Dn==Se),cn=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==De),On=dn>0&&or!==-1?or:Qt.length+1,Pi=Zl>0&&cn!==-1?cn:Qt.length+1;let sd,Pu,Cu,Su;On0?(0,f.max)(sr.at(-1))[0]+1:0;sr.push(Array.from({length:3*ku},(Dn,Ms)=>fb+Ms%ku));const Iu=ku+fb,id=Sx*$u*nd,$x=Array.from({length:id},(Dn,Ms)=>Iu+Math.floor(Ms/($u*nd))),kx=Array.from({length:id},(Dn,Ms)=>Iu+Math.floor(Ms/nd)%$u),Ix=Array.from({length:id},(Dn,Ms)=>Iu+Ms%nd);sr.push([$x,kx,Ix].flat()),Wr=sd+id}if(Wr0?(0,f.max)(sr.at(-1))[0]+1:0,or=Qt.length-Wr;sr.push(Array.from({length:3*or},(cn,On)=>Kt+On%or))}const Sr=sr.reduce((Kt,or)=>Kt+or.length,0),$s=new Array(Sr);let Eu=0;for(let Kt=0;Kt<3;++Kt)for(let or=0;oryt[ct%yt.length]),at=Array.from({length:st[0]},(vt,ct)=>(0,f.max)(yt.subarray(st[1]*ct,st[1]*(ct+1)))[0]+1n+BigInt(st[1]));return[new h.Tensor("int64",Et,[3,...st]),new h.Tensor("int64",at,[at.length,1])]}else{const[yt,st]=S.dims,Et=BigInt64Array.from({length:3*yt*st},(at,vt)=>BigInt(Math.floor(vt%st/yt)));return[new h.Tensor("int64",Et,[3,...S.dims]),(0,h.zeros)([yt,1])]}}async encode_image({pixel_values:S,image_grid_thw:L}){return(await q(this.sessions.vision_encoder,{pixel_values:S,grid_thw:L})).image_features}_merge_input_ids_with_image_features(S){return R({image_token_id:this.config.image_token_id,...S})}prepare_inputs_for_generation(S,L,oe){if(L.attention_mask&&!L.position_ids)if(!L.past_key_values)[L.position_ids,L.rope_deltas]=this.get_rope_index(L.input_ids,L.image_grid_thw,L.video_grid_thw,L.attention_mask);else{L.pixel_values=null;const fe=BigInt(Object.values(L.past_key_values)[0].dims.at(-2)),me=L.rope_deltas.map(Se=>fe+Se);L.position_ids=(0,h.stack)([me,me,me],0)}return L}}class fi extends U{}class Do extends fi{}class Lo extends fi{}class gi extends U{}class zo extends gi{}class Bo extends gi{}class wi extends U{}class Ro extends wi{}class No extends wi{}class yi extends U{}class jo extends yi{}class Uo extends yi{}class Mi extends U{}class Vo extends Mi{}class Wo extends Mi{}class bi extends U{}class Go extends bi{}class Ko extends bi{async _call(S){return new bt(await super._call(S))}}class vi extends U{}class Ho extends vi{}class qo extends vi{async _call(S){return new bt(await super._call(S))}}class Qo extends U{}class Xo extends Qo{}class Jo extends U{}class dl extends Jo{}class cl extends Jo{async _call(S){return new bt(await super._call(S))}}class ul extends U{}class pl extends ul{}class Yo extends U{}class hl extends Yo{}class ml extends Yo{async _call(S){return new bt(await super._call(S))}}class _l extends U{}class fl extends _l{}class Zo extends U{}class gl extends Zo{}class wl extends Zo{async _call(S){return new bt(await super._call(S))}}class yl extends U{}class Ml extends yl{async _call(S){return new mb(await super._call(S))}}class ea extends U{}class bl extends ea{}class vl extends ea{async _call(S){return new bt(await super._call(S))}}class ta extends U{}class xl extends ta{}class Tl extends ta{async _call(S){return new bt(await super._call(S))}}class ra extends U{}class El extends ra{}class Pl extends ra{}class sa extends U{}class Cl extends sa{}class Sl extends sa{}class na extends U{}class $l extends na{}class kl extends na{async _call(S){return new bt(await super._call(S))}}class xi extends U{}class Il extends xi{}class Al extends xi{async _call(S){return new oa(await super._call(S))}}class ia extends xi{async _call(S){return new Fl(await super._call(S))}}class oa extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Fl extends pe{constructor({logits:S,pred_boxes:L,pred_masks:oe}){super(),this.logits=S,this.pred_boxes=L,this.pred_masks=oe}}class aa extends U{}class Ol extends aa{}class Dl extends aa{async _call(S){return new Ll(await super._call(S))}}class Ll extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class la extends U{}class zl extends la{}class Bl extends la{async _call(S){return new Rl(await super._call(S))}}class Rl extends oa{}class da extends U{}class ca extends da{}class c extends da{async _call(S){return new bt(await super._call(S))}}class m extends U{}class v extends m{}class C extends m{async _call(S){return new bt(await super._call(S))}}class I extends U{}class W extends I{}class se extends I{async _call(S){return new bt(await super._call(S))}}class ge extends U{}class Ee extends ge{}class ze extends ge{async _call(S){return new bt(await super._call(S))}}class Ye extends ge{}class ot extends U{}class gt extends ot{}class Bt extends ot{}class Pr extends U{}class an extends Pr{}class qw extends Pr{}class Qw extends U{}class Xw extends Qw{}class Nl extends U{}class Jw extends Nl{}class Yw extends Nl{}class Zw extends Nl{}class ey extends U{}class ty extends ey{}class ry extends U{}class sy extends ry{}class ny extends U{}class iy extends ny{}class eu extends U{}class oy extends eu{}class ay extends eu{}class tu extends U{}class ly extends tu{}class dy extends tu{}class cy extends U{}class uy extends cy{}class ru extends U{}class py extends ru{}class hy extends ru{async _call(S){return new bt(await super._call(S))}}class su extends U{}class my extends su{}class _y extends su{async _call(S){return new bt(await super._call(S))}}class nu extends U{}class fy extends nu{}class gy extends nu{async _call(S){return new bt(await super._call(S))}}class iu extends U{}class wy extends iu{}class yy extends iu{async _call(S){return new bt(await super._call(S))}}class My extends U{}class by extends My{}class ou extends U{}class vy extends ou{}class xy extends ou{async _call(S){return new Ty(await super._call(S))}}class Ty extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Ey extends U{}class Py extends Ey{async get_image_embeddings({pixel_values:S}){return await ie(this,{pixel_values:S})}async forward(S){if((!S.image_embeddings||!S.image_positional_embeddings)&&(S={...S,...await this.get_image_embeddings(S)}),!S.input_labels&&S.input_points){const oe=S.input_points.dims.slice(0,-1),fe=oe.reduce((me,Se)=>me*Se,1);S.input_labels=new h.Tensor("int64",new BigInt64Array(fe).fill(1n),oe)}const L={image_embeddings:S.image_embeddings,image_positional_embeddings:S.image_positional_embeddings};return S.input_points&&(L.input_points=S.input_points),S.input_labels&&(L.input_labels=S.input_labels),S.input_boxes&&(L.input_boxes=S.input_boxes),await q(this.sessions.prompt_encoder_mask_decoder,L)}async _call(S){return new Cy(await super._call(S))}}class Cy extends pe{constructor({iou_scores:S,pred_masks:L}){super(),this.iou_scores=S,this.pred_masks=L}}class au extends U{}class Sy extends au{}class $y extends au{}class lu extends U{}class ky extends lu{}class Iy extends lu{}class ln extends U{}class Ay extends ln{}class Fy extends ln{async _call(S){return new Fn(await super._call(S))}}class Oy extends ln{async _call(S){return new bt(await super._call(S))}}class Dy extends ln{async _call(S){return new pr(await super._call(S))}}class du extends U{}class Ly extends du{}class zy extends du{async _call(S){return new pr(await super._call(S))}}class By extends U{}class Ry extends By{}class jl extends U{}class Ny extends jl{}class jy extends jl{async _call(S){return new Fn(await super._call(S))}}class Uy extends jl{async _call(S){return new bt(await super._call(S))}}class ua extends U{}class Vy extends ua{}class Wy extends ua{async _call(S){return new Fn(await super._call(S))}}class Gy extends ua{async _call(S){return new bt(await super._call(S))}}class Ky extends ua{async _call(S){return new pr(await super._call(S))}}class Ul extends U{}class Hy extends Ul{}class qy extends Ul{async _call(S){return new Fn(await super._call(S))}}class Qy extends Ul{async _call(S){return new bt(await super._call(S))}}class hx extends U{}class Xy extends ln{}class Jy extends ln{async _call(S){return new Fn(await super._call(S))}}class Yy extends ln{async _call(S){return new bt(await super._call(S))}}class Ti extends U{}class Zy extends Ti{}class eM extends Ti{async _call(S){return new Fn(await super._call(S))}}class tM extends Ti{async _call(S){return new bt(await super._call(S))}}class rM extends Ti{async _call(S){return new hb(await super._call(S))}}class sM extends Ti{async _call(S){return new pr(await super._call(S))}}class nM extends U{}class iM extends nM{}class Vl extends U{}class mx extends Vl{}class oM extends Vl{}class aM extends Vl{async generate_speech(S,L,{threshold:oe=.5,minlenratio:fe=0,maxlenratio:me=20,vocoder:Se=null}={}){const De={input_ids:S},{encoder_outputs:Ge,encoder_attention_mask:Je}=await ie(this,De),lt=Ge.dims[1]/this.config.reduction_factor,yt=Math.floor(lt*me),st=Math.floor(lt*fe),Et=this.config.num_mel_bins;let at=[],vt=null,ct=null,Tt=0;for(;;){++Tt;const yr=H(!!ct);let Pt;ct?Pt=ct.output_sequence_out:Pt=new h.Tensor("float32",new Float32Array(Et),[1,1,Et]);let Nt={use_cache_branch:yr,output_sequence:Pt,encoder_attention_mask:Je,speaker_embeddings:L,encoder_hidden_states:Ge};this.addPastKeyValues(Nt,vt),ct=await q(this.sessions.decoder_model_merged,Nt),vt=this.getPastKeyValues(ct,vt);const{prob:tr,spectrum:sr}=ct;if(at.push(sr),Tt>=st&&(Array.from(tr.data).filter(Wr=>Wr>=oe).length>0||Tt>=yt))break}const Lt=(0,h.cat)(at),{waveform:Qt}=await q(Se.sessions.model,{spectrogram:Lt});return{spectrogram:Lt,waveform:Qt}}}class lM extends U{constructor(){super(...arguments);re(this,"main_input_name","spectrogram")}}class dM extends U{}class cM extends dM{}class cu extends U{}class uM extends cu{}class pM extends cu{}class uu extends U{}class hM extends uu{}class mM extends uu{}class pu extends U{}class _M extends pu{}class fM extends pu{}class Wl extends U{}class gM extends Wl{}class wM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class yM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"audio_model"})}}class MM extends U{}class hu extends MM{async _call(S){return new _b(await super._call(S))}}class Gl extends U{}class _x extends Gl{}class bM extends Gl{}class vM extends Gl{}class mu extends U{}class xM extends mu{}class TM extends mu{}class _u extends U{}class EM extends _u{}class PM extends _u{async _call(S){return new bt(await super._call(S))}}class fu extends U{}class fx extends fu{}class gx extends fu{}class gu extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}_apply_and_filter_by_delay_pattern_mask(L){const[oe,fe]=L.dims,me=this.config.decoder.num_codebooks,Se=fe-me;let De=0;for(let lt=0;lt0&&Et<=Se&&(L.data[De++]=L.data[lt])}const Ge=Math.floor(oe/me),Je=De/(Ge*me);return new h.Tensor(L.type,L.data.slice(0,De),[Ge,me,Je])}prepare_inputs_for_generation(L,oe,fe){let me=structuredClone(L);for(let De=0;De=Ge&&(me[De][Ge]=BigInt(this.config.decoder.pad_token_id));return fe.guidance_scale!==null&&fe.guidance_scale>1&&(me=me.concat(me)),super.prepare_inputs_for_generation(me,oe,fe)}async generate(L){const oe=await super.generate(L),fe=this._apply_and_filter_by_delay_pattern_mask(oe).unsqueeze_(0),{audio_values:me}=await q(this.sessions.encodec_decode,{audio_codes:fe});return me}}class Kl extends U{}class CM extends Kl{}class SM extends Kl{async _call(S){return new bt(await super._call(S))}}class $M extends Kl{}class Hl extends U{}class kM extends Hl{}class IM extends Hl{async _call(S){return new bt(await super._call(S))}}class AM extends Hl{}class ql extends U{}class FM extends ql{}class OM extends ql{async _call(S){return new bt(await super._call(S))}}class DM extends ql{}class Ql extends U{}class LM extends Ql{}class zM extends Ql{async _call(S){return new bt(await super._call(S))}}class BM extends Ql{}class RM extends U{}class NM extends RM{}class jM extends U{}class UM extends jM{constructor(...L){super(...L);re(this,"forward_params",["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"]);this._generation_mode="text"}async forward(L){const oe=this._generation_mode??"text";let fe;if(oe==="text"||!L.past_key_values){const Je=this.sessions.prepare_inputs_embeds,lt=(0,a.pick)(L,Je.inputNames);fe=await q(Je,lt)}else{const Je=this.sessions.gen_img_embeds,lt=(0,a.pick)({image_ids:L.input_ids},Je.inputNames);fe=await q(Je,lt)}const me={...L,...fe},Se=await ae(this,me),De=this.sessions[oe==="text"?"lm_head":"gen_head"];if(!De)throw new Error(`Unable to find "${De}" generation head`);const Ge=await q(De,(0,a.pick)(Se,De.inputNames));return{...fe,...Se,...Ge}}async generate(L){return this._generation_mode="text",super.generate(L)}async generate_images(L){this._generation_mode="image";const oe=(L.inputs??L[this.main_input_name]).dims[1],me=(await super.generate(L)).slice(null,[oe,null]),Se=this.sessions.image_decode,{decoded_image:De}=await q(Se,{generated_tokens:me}),Ge=De.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),Je=[];for(const lt of Ge){const yt=w.RawImage.fromTensor(lt);Je.push(yt)}return Je}}class VM extends pe{constructor({char_logits:S,bpe_logits:L,wp_logits:oe}){super(),this.char_logits=S,this.bpe_logits=L,this.wp_logits=oe}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class WM extends U{}class GM extends WM{async _call(S){return new VM(await super._call(S))}}class wu extends U{}class KM extends wu{}class HM extends wu{}class yu extends U{}class qM extends yu{}class QM extends yu{}class XM extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","audio_values","past_key_values"])}}class JM extends XM{_merge_input_ids_with_audio_features(S){const L=S.audio_features.dims.at(-1),oe=S.audio_features.view(-1,L);return O({audio_token_id:this.config.ignore_index,...S,audio_features:oe})}}class Xl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class YM extends pe{constructor({audio_codes:S}){super(),this.audio_codes=S}}class ZM extends pe{constructor({audio_values:S}){super(),this.audio_values=S}}class e0 extends Xl{async encode(S){return new YM(await q(this.sessions.encoder_model,S))}async decode(S){return new ZM(await q(this.sessions.decoder_model,S))}}class t0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class r0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Jl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class s0 extends pe{constructor({audio_codes:S}){super(),this.audio_codes=S}}class n0 extends pe{constructor({audio_values:S}){super(),this.audio_values=S}}class i0 extends Jl{async encode(S){return new s0(await q(this.sessions.encoder_model,S))}async decode(S){return new n0(await q(this.sessions.decoder_model,S))}}class o0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class a0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Yl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class l0 extends Yl{async encode(S){return await q(this.sessions.encoder_model,S)}async decode(S){return await q(this.sessions.decoder_model,S)}}class d0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class c0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class It{static async from_pretrained(S,{progress_callback:L=null,config:oe=null,cache_dir:fe=null,local_files_only:me=!1,revision:Se="main",model_file_name:De=null,subfolder:Ge="onnx",device:Je=null,dtype:lt=null,use_external_data_format:yt=null,session_options:st={}}={}){const Et={progress_callback:L,config:oe,cache_dir:fe,local_files_only:me,revision:Se,model_file_name:De,subfolder:Ge,device:Je,dtype:lt,use_external_data_format:yt,session_options:st};if(Et.config=await s.AutoConfig.from_pretrained(S,Et),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const at=Et.config.model_type;for(const vt of this.MODEL_CLASS_MAPPINGS){let ct=vt.get(at);if(!ct){for(const Tt of vt.values())if(Tt[0]===at){ct=Tt;break}if(!ct)continue}return await ct[1].from_pretrained(S,Et)}if(this.BASE_IF_FAIL)return L0.has(at)||console.warn(`Unknown model class "${at}", attempting to construct from base class.`),await U.from_pretrained(S,Et);throw Error(`Unsupported model type: ${at}`)}}re(It,"MODEL_CLASS_MAPPINGS",null),re(It,"BASE_IF_FAIL",!1);const wx=new Map([["bert",["BertModel",Ae]],["modernbert",["ModernBertModel",Z]],["nomic_bert",["NomicBertModel",ve]],["roformer",["RoFormerModel",Fe]],["electra",["ElectraModel",cs]],["esm",["EsmModel",Ys]],["convbert",["ConvBertModel",nr]],["camembert",["CamembertModel",us]],["deberta",["DebertaModel",Be]],["deberta-v2",["DebertaV2Model",ps]],["mpnet",["MPNetModel",Tn]],["albert",["AlbertModel",Cn]],["distilbert",["DistilBertModel",Ps]],["roberta",["RobertaModel",ur]],["xlm",["XLMModel",tn]],["xlm-roberta",["XLMRobertaModel",Ba]],["clap",["ClapModel",gM]],["clip",["CLIPModel",Zi]],["clipseg",["CLIPSegModel",nn]],["chinese_clip",["ChineseCLIPModel",rl]],["siglip",["SiglipModel",Ya]],["jina_clip",["JinaCLIPModel",sl]],["mobilebert",["MobileBertModel",br]],["squeezebert",["SqueezeBertModel",cr]],["wav2vec2",["Wav2Vec2Model",Ay]],["wav2vec2-bert",["Wav2Vec2BertModel",Hy]],["unispeech",["UniSpeechModel",Ny]],["unispeech-sat",["UniSpeechSatModel",Vy]],["hubert",["HubertModel",Xy]],["wavlm",["WavLMModel",Zy]],["audio-spectrogram-transformer",["ASTModel",ja]],["vits",["VitsModel",hu]],["pyannote",["PyAnnoteModel",Ly]],["wespeaker-resnet",["WeSpeakerResNetModel",Ry]],["detr",["DetrModel",Il]],["rt_detr",["RTDetrModel",Ol]],["table-transformer",["TableTransformerModel",zl]],["vit",["ViTModel",Go]],["ijepa",["IJepaModel",Ho]],["pvt",["PvtModel",dl]],["vit_msn",["ViTMSNModel",hl]],["vit_mae",["ViTMAEModel",pl]],["groupvit",["GroupViTModel",fl]],["fastvit",["FastViTModel",gl]],["mobilevit",["MobileViTModel",bl]],["mobilevitv2",["MobileViTV2Model",xl]],["owlvit",["OwlViTModel",El]],["owlv2",["Owlv2Model",Cl]],["beit",["BeitModel",$l]],["deit",["DeiTModel",ca]],["hiera",["HieraModel",v]],["convnext",["ConvNextModel",py]],["convnextv2",["ConvNextV2Model",my]],["dinov2",["Dinov2Model",fy]],["dinov2_with_registers",["Dinov2WithRegistersModel",wy]],["resnet",["ResNetModel",W]],["swin",["SwinModel",Ee]],["swin2sr",["Swin2SRModel",gt]],["donut-swin",["DonutSwinModel",uy]],["yolos",["YolosModel",vy]],["dpt",["DPTModel",an]],["glpn",["GLPNModel",ly]],["hifigan",["SpeechT5HifiGan",lM]],["efficientnet",["EfficientNetModel",EM]],["decision_transformer",["DecisionTransformerModel",NM]],["patchtst",["PatchTSTForPrediction",KM]],["patchtsmixer",["PatchTSMixerForPrediction",qM]],["mobilenet_v1",["MobileNetV1Model",CM]],["mobilenet_v2",["MobileNetV2Model",kM]],["mobilenet_v3",["MobileNetV3Model",FM]],["mobilenet_v4",["MobileNetV4Model",LM]],["maskformer",["MaskFormerModel",oy]],["mgp-str",["MgpstrForSceneTextRecognition",GM]],["style_text_to_speech_2",["StyleTextToSpeech2Model",iM]]]),yx=new Map([["t5",["T5Model",de]],["longt5",["LongT5Model",We]],["mt5",["MT5Model",Ze]],["bart",["BartModel",kt]],["mbart",["MBartModel",vr]],["marian",["MarianModel",Sy]],["whisper",["WhisperModel",Va]],["m2m_100",["M2M100Model",ky]],["blenderbot",["BlenderbotModel",Gt]],["blenderbot-small",["BlenderbotSmallModel",Zr]]]),Mx=new Map([["mimi",["MimiModel",e0]],["dac",["DacModel",i0]],["snac",["SnacModel",l0]]]),bx=new Map([["bloom",["BloomModel",Ro]],["jais",["JAISModel",ro]],["gpt2",["GPT2Model",ol]],["gptj",["GPTJModel",lo]],["gpt_bigcode",["GPTBigCodeModel",ll]],["gpt_neo",["GPTNeoModel",no]],["gpt_neox",["GPTNeoXModel",al]],["codegen",["CodeGenModel",In]],["llama",["LlamaModel",ri]],["exaone",["ExaoneModel",mo]],["olmo",["OlmoModel",fo]],["olmo2",["Olmo2Model",wo]],["mobilellm",["MobileLLMModel",_t]],["granite",["GraniteModel",yo]],["cohere",["CohereModel",bo]],["gemma",["GemmaModel",xo]],["gemma2",["Gemma2Model",Eo]],["gemma3_text",["Gemma3Model",Co]],["helium",["HeliumModel",po]],["glm",["GlmModel",ho]],["openelm",["OpenELMModel",$o]],["qwen2",["Qwen2Model",Io]],["phi",["PhiModel",Do]],["phi3",["Phi3Model",zo]],["mpt",["MptModel",jo]],["opt",["OPTModel",Vo]],["mistral",["MistralModel",uM]],["starcoder2",["Starcoder2Model",hM]],["falcon",["FalconModel",_M]],["stablelm",["StableLmModel",xM]]]),Mu=new Map([["speecht5",["SpeechT5ForSpeechToText",oM]],["whisper",["WhisperForConditionalGeneration",Ki]],["lite-whisper",["LiteWhisperForConditionalGeneration",Wa]],["moonshine",["MoonshineForConditionalGeneration",Ga]]]),u0=new Map([["speecht5",["SpeechT5ForTextToSpeech",aM]]]),p0=new Map([["vits",["VitsModel",hu]],["musicgen",["MusicgenForConditionalGeneration",gu]]]),h0=new Map([["bert",["BertForSequenceClassification",Le]],["modernbert",["ModernBertForSequenceClassification",ee]],["roformer",["RoFormerForSequenceClassification",Qe]],["electra",["ElectraForSequenceClassification",jr]],["esm",["EsmForSequenceClassification",en]],["convbert",["ConvBertForSequenceClassification",dr]],["camembert",["CamembertForSequenceClassification",Ts]],["deberta",["DebertaForSequenceClassification",it]],["deberta-v2",["DebertaV2ForSequenceClassification",Er]],["mpnet",["MPNetForSequenceClassification",En]],["albert",["AlbertForSequenceClassification",ue]],["distilbert",["DistilBertForSequenceClassification",qs]],["roberta",["RobertaForSequenceClassification",Jt]],["xlm",["XLMForSequenceClassification",La]],["xlm-roberta",["XLMRobertaForSequenceClassification",Sn]],["bart",["BartForSequenceClassification",Ot]],["mbart",["MBartForSequenceClassification",Yr]],["mobilebert",["MobileBertForSequenceClassification",zs]],["squeezebert",["SqueezeBertForSequenceClassification",Rs]]]),m0=new Map([["bert",["BertForTokenClassification",Ne]],["modernbert",["ModernBertForTokenClassification",ce]],["roformer",["RoFormerForTokenClassification",Xe]],["electra",["ElectraForTokenClassification",dt]],["esm",["EsmForTokenClassification",Lr]],["convbert",["ConvBertForTokenClassification",ds]],["camembert",["CamembertForTokenClassification",Es]],["deberta",["DebertaForTokenClassification",rr]],["deberta-v2",["DebertaV2ForTokenClassification",ms]],["mpnet",["MPNetForTokenClassification",Bs]],["distilbert",["DistilBertForTokenClassification",Qs]],["roberta",["RobertaForTokenClassification",qt]],["xlm",["XLMForTokenClassification",Vi]],["xlm-roberta",["XLMRobertaForTokenClassification",Na]]]),bu=new Map([["t5",["T5ForConditionalGeneration",he]],["longt5",["LongT5ForConditionalGeneration",qe]],["mt5",["MT5ForConditionalGeneration",ht]],["bart",["BartForConditionalGeneration",Wt]],["mbart",["MBartForConditionalGeneration",fr]],["marian",["MarianMTModel",$y]],["m2m_100",["M2M100ForConditionalGeneration",Iy]],["blenderbot",["BlenderbotForConditionalGeneration",Zt]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",ws]]]),vu=new Map([["bloom",["BloomForCausalLM",No]],["gpt2",["GPT2LMHeadModel",Yn]],["jais",["JAISLMHeadModel",so]],["gptj",["GPTJForCausalLM",kn]],["gpt_bigcode",["GPTBigCodeForCausalLM",co]],["gpt_neo",["GPTNeoForCausalLM",io]],["gpt_neox",["GPTNeoXForCausalLM",oo]],["codegen",["CodeGenForCausalLM",Vr]],["llama",["LlamaForCausalLM",uo]],["exaone",["ExaoneForCausalLM",mt]],["olmo",["OlmoForCausalLM",go]],["olmo2",["Olmo2ForCausalLM",li]],["mobilellm",["MobileLLMForCausalLM",_o]],["granite",["GraniteForCausalLM",Mo]],["cohere",["CohereForCausalLM",vo]],["gemma",["GemmaForCausalLM",To]],["gemma2",["Gemma2ForCausalLM",Po]],["gemma3_text",["Gemma3ForCausalLM",So]],["helium",["HeliumForCausalLM",ni]],["glm",["GlmForCausalLM",ft]],["openelm",["OpenELMForCausalLM",ko]],["qwen2",["Qwen2ForCausalLM",Ao]],["phi",["PhiForCausalLM",Lo]],["phi3",["Phi3ForCausalLM",Bo]],["mpt",["MptForCausalLM",Uo]],["opt",["OPTForCausalLM",Wo]],["mbart",["MBartForCausalLM",xr]],["mistral",["MistralForCausalLM",pM]],["starcoder2",["Starcoder2ForCausalLM",mM]],["falcon",["FalconForCausalLM",fM]],["trocr",["TrOCRForCausalLM",cM]],["stablelm",["StableLmForCausalLM",TM]],["phi3_v",["Phi3VForCausalLM",Ns]]]),vx=new Map([["multi_modality",["MultiModalityCausalLM",UM]]]),_0=new Map([["bert",["BertForMaskedLM",Ie]],["modernbert",["ModernBertForMaskedLM",z]],["roformer",["RoFormerForMaskedLM",je]],["electra",["ElectraForMaskedLM",Os]],["esm",["EsmForMaskedLM",Zs]],["convbert",["ConvBertForMaskedLM",jt]],["camembert",["CamembertForMaskedLM",xs]],["deberta",["DebertaForMaskedLM",et]],["deberta-v2",["DebertaV2ForMaskedLM",hs]],["mpnet",["MPNetForMaskedLM",zr]],["albert",["AlbertForMaskedLM",j]],["distilbert",["DistilBertForMaskedLM",Js]],["roberta",["RobertaForMaskedLM",Rt]],["xlm",["XLMWithLMHeadModel",rn]],["xlm-roberta",["XLMRobertaForMaskedLM",Ra]],["mobilebert",["MobileBertForMaskedLM",Ls]],["squeezebert",["SqueezeBertForMaskedLM",_r]]]),f0=new Map([["bert",["BertForQuestionAnswering",Ve]],["roformer",["RoFormerForQuestionAnswering",ut]],["electra",["ElectraForQuestionAnswering",qr]],["convbert",["ConvBertForQuestionAnswering",Fs]],["camembert",["CamembertForQuestionAnswering",Ds]],["deberta",["DebertaForQuestionAnswering",zt]],["deberta-v2",["DebertaV2ForQuestionAnswering",_s]],["mpnet",["MPNetForQuestionAnswering",Fr]],["albert",["AlbertForQuestionAnswering",F]],["distilbert",["DistilBertForQuestionAnswering",Xs]],["roberta",["RobertaForQuestionAnswering",er]],["xlm",["XLMForQuestionAnswering",za]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Wi]],["mobilebert",["MobileBertForQuestionAnswering",Ar]],["squeezebert",["SqueezeBertForQuestionAnswering",Pn]]]),xu=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]]]),g0=new Map([["llava",["LlavaForConditionalGeneration",Kn]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",Ha]],["moondream1",["Moondream1ForConditionalGeneration",qa]],["florence2",["Florence2ForConditionalGeneration",Qi]],["qwen2-vl",["Qwen2VLForConditionalGeneration",Oo]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]],["paligemma",["PaliGemmaForConditionalGeneration",Ji]]]),w0=new Map([["ultravox",["UltravoxModel",JM]]]),xx=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]]]),y0=new Map([["vit",["ViTForImageClassification",Ko]],["ijepa",["IJepaForImageClassification",qo]],["pvt",["PvtForImageClassification",cl]],["vit_msn",["ViTMSNForImageClassification",ml]],["fastvit",["FastViTForImageClassification",wl]],["mobilevit",["MobileViTForImageClassification",vl]],["mobilevitv2",["MobileViTV2ForImageClassification",Tl]],["beit",["BeitForImageClassification",kl]],["deit",["DeiTForImageClassification",c]],["hiera",["HieraForImageClassification",C]],["convnext",["ConvNextForImageClassification",hy]],["convnextv2",["ConvNextV2ForImageClassification",_y]],["dinov2",["Dinov2ForImageClassification",gy]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",yy]],["resnet",["ResNetForImageClassification",se]],["swin",["SwinForImageClassification",ze]],["segformer",["SegformerForImageClassification",bM]],["efficientnet",["EfficientNetForImageClassification",PM]],["mobilenet_v1",["MobileNetV1ForImageClassification",SM]],["mobilenet_v2",["MobileNetV2ForImageClassification",IM]],["mobilenet_v3",["MobileNetV3ForImageClassification",OM]],["mobilenet_v4",["MobileNetV4ForImageClassification",zM]]]),M0=new Map([["detr",["DetrForObjectDetection",Al]],["rt_detr",["RTDetrForObjectDetection",Dl]],["table-transformer",["TableTransformerForObjectDetection",Bl]],["yolos",["YolosForObjectDetection",xy]]]),b0=new Map([["owlvit",["OwlViTForObjectDetection",Pl]],["owlv2",["Owlv2ForObjectDetection",Sl]],["grounding-dino",["GroundingDinoForObjectDetection",by]]]),Ei=new Map([["detr",["DetrForSegmentation",ia]],["clipseg",["CLIPSegForImageSegmentation",eo]]]),v0=new Map([["segformer",["SegformerForSemanticSegmentation",vM]],["sapiens",["SapiensForSemanticSegmentation",Jw]],["swin",["SwinForSemanticSegmentation",Ye]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",$M]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",AM]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",DM]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",BM]]]),x0=new Map([["detr",["DetrForSegmentation",ia]],["maskformer",["MaskFormerForInstanceSegmentation",ay]]]),T0=new Map([["sam",["SamModel",Py]]]),E0=new Map([["wav2vec2",["Wav2Vec2ForCTC",Fy]],["wav2vec2-bert",["Wav2Vec2BertForCTC",qy]],["unispeech",["UniSpeechForCTC",jy]],["unispeech-sat",["UniSpeechSatForCTC",Wy]],["wavlm",["WavLMForCTC",eM]],["hubert",["HubertForCTC",Jy]]]),P0=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Oy]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Qy]],["unispeech",["UniSpeechForSequenceClassification",Uy]],["unispeech-sat",["UniSpeechSatForSequenceClassification",Gy]],["wavlm",["WavLMForSequenceClassification",tM]],["hubert",["HubertForSequenceClassification",Yy]],["audio-spectrogram-transformer",["ASTForAudioClassification",Ua]]]),C0=new Map([["wavlm",["WavLMForXVector",rM]]]),S0=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Ky]],["wavlm",["WavLMForAudioFrameClassification",sM]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Dy]],["pyannote",["PyAnnoteForAudioFrameClassification",zy]]]),$0=new Map([["vitmatte",["VitMatteForImageMatting",Ml]]]),Tx=new Map([["patchtst",["PatchTSTForPrediction",HM]],["patchtsmixer",["PatchTSMixerForPrediction",QM]]]),k0=new Map([["swin2sr",["Swin2SRForImageSuperResolution",Bt]]]),I0=new Map([["dpt",["DPTForDepthEstimation",qw]],["depth_anything",["DepthAnythingForDepthEstimation",Xw]],["glpn",["GLPNForDepthEstimation",dy]],["sapiens",["SapiensForDepthEstimation",Yw]],["depth_pro",["DepthProForDepthEstimation",ty]],["metric3d",["Metric3DForDepthEstimation",sy]],["metric3dv2",["Metric3Dv2ForDepthEstimation",iy]]]),A0=new Map([["sapiens",["SapiensForNormalEstimation",Zw]]]),F0=new Map([["vitpose",["VitPoseForPoseEstimation",Xo]]]),O0=new Map([["clip",["CLIPVisionModelWithProjection",Qn]],["siglip",["SiglipVisionModel",el]],["jina_clip",["JinaCLIPVisionModel",il]]]),D0=[[wx,T.EncoderOnly],[yx,T.EncoderDecoder],[bx,T.DecoderOnly],[Mx,T.AutoEncoder],[h0,T.EncoderOnly],[m0,T.EncoderOnly],[bu,T.Seq2Seq],[Mu,T.Seq2Seq],[vu,T.DecoderOnly],[vx,T.MultiModality],[_0,T.EncoderOnly],[f0,T.EncoderOnly],[xu,T.Vision2Seq],[g0,T.ImageTextToText],[w0,T.AudioTextToText],[y0,T.EncoderOnly],[Ei,T.EncoderOnly],[x0,T.EncoderOnly],[v0,T.EncoderOnly],[$0,T.EncoderOnly],[Tx,T.EncoderOnly],[k0,T.EncoderOnly],[I0,T.EncoderOnly],[A0,T.EncoderOnly],[F0,T.EncoderOnly],[M0,T.EncoderOnly],[b0,T.EncoderOnly],[T0,T.MaskGeneration],[E0,T.EncoderOnly],[P0,T.EncoderOnly],[u0,T.Seq2Seq],[p0,T.EncoderOnly],[C0,T.EncoderOnly],[S0,T.EncoderOnly],[O0,T.EncoderOnly]];for(const[x,S]of D0)for(const[L,oe]of x.values())g.set(L,S),E.set(oe,L),M.set(L,oe);const Ex=[["MusicgenForConditionalGeneration",gu,T.Musicgen],["Phi3VForCausalLM",Ns,T.Phi3V],["CLIPTextModelWithProjection",Ja,T.EncoderOnly],["SiglipTextModel",Za,T.EncoderOnly],["JinaCLIPTextModel",nl,T.EncoderOnly],["ClapTextModelWithProjection",wM,T.EncoderOnly],["ClapAudioModelWithProjection",yM,T.EncoderOnly],["DacEncoderModel",o0,T.EncoderOnly],["DacDecoderModel",a0,T.EncoderOnly],["MimiEncoderModel",t0,T.EncoderOnly],["MimiDecoderModel",r0,T.EncoderOnly],["SnacEncoderModel",d0,T.EncoderOnly],["SnacDecoderModel",c0,T.EncoderOnly]];for(const[x,S,L]of Ex)g.set(x,L),E.set(S,x),M.set(x,S);const L0=new Map([["modnet",Ei],["birefnet",Ei],["isnet",Ei],["ben",Ei]]);for(const[x,S]of L0.entries())S.set(x,["PreTrainedModel",U]),g.set(x,T.EncoderOnly),E.set(U,x),M.set(x,U);class Tu extends It{}re(Tu,"MODEL_CLASS_MAPPINGS",D0.map(S=>S[0])),re(Tu,"BASE_IF_FAIL",!0);class z0 extends It{}re(z0,"MODEL_CLASS_MAPPINGS",[h0]);class B0 extends It{}re(B0,"MODEL_CLASS_MAPPINGS",[m0]);class R0 extends It{}re(R0,"MODEL_CLASS_MAPPINGS",[bu]);class N0 extends It{}re(N0,"MODEL_CLASS_MAPPINGS",[Mu]);class j0 extends It{}re(j0,"MODEL_CLASS_MAPPINGS",[u0]);class U0 extends It{}re(U0,"MODEL_CLASS_MAPPINGS",[p0]);class V0 extends It{}re(V0,"MODEL_CLASS_MAPPINGS",[vu]);class W0 extends It{}re(W0,"MODEL_CLASS_MAPPINGS",[_0]);class G0 extends It{}re(G0,"MODEL_CLASS_MAPPINGS",[f0]);class K0 extends It{}re(K0,"MODEL_CLASS_MAPPINGS",[xu]);class H0 extends It{}re(H0,"MODEL_CLASS_MAPPINGS",[y0]);class q0 extends It{}re(q0,"MODEL_CLASS_MAPPINGS",[Ei]);class Q0 extends It{}re(Q0,"MODEL_CLASS_MAPPINGS",[v0]);class X0 extends It{}re(X0,"MODEL_CLASS_MAPPINGS",[x0]);class J0 extends It{}re(J0,"MODEL_CLASS_MAPPINGS",[M0]);class Y0 extends It{}re(Y0,"MODEL_CLASS_MAPPINGS",[b0]);class Z0 extends It{}re(Z0,"MODEL_CLASS_MAPPINGS",[T0]);class eb extends It{}re(eb,"MODEL_CLASS_MAPPINGS",[E0]);class tb extends It{}re(tb,"MODEL_CLASS_MAPPINGS",[P0]);class rb extends It{}re(rb,"MODEL_CLASS_MAPPINGS",[C0]);class sb extends It{}re(sb,"MODEL_CLASS_MAPPINGS",[S0]);class nb extends It{}re(nb,"MODEL_CLASS_MAPPINGS",[xx]);class ib extends It{}re(ib,"MODEL_CLASS_MAPPINGS",[$0]);class ob extends It{}re(ob,"MODEL_CLASS_MAPPINGS",[k0]);class ab extends It{}re(ab,"MODEL_CLASS_MAPPINGS",[I0]);class lb extends It{}re(lb,"MODEL_CLASS_MAPPINGS",[A0]);class db extends It{}re(db,"MODEL_CLASS_MAPPINGS",[F0]);class cb extends It{}re(cb,"MODEL_CLASS_MAPPINGS",[O0]);class ub extends It{}re(ub,"MODEL_CLASS_MAPPINGS",[g0]);class pb extends It{}re(pb,"MODEL_CLASS_MAPPINGS",[w0]);class Px extends pe{constructor({logits:S,past_key_values:L,encoder_outputs:oe,decoder_attentions:fe=null,cross_attentions:me=null}){super(),this.logits=S,this.past_key_values=L,this.encoder_outputs=oe,this.decoder_attentions=fe,this.cross_attentions=me}}class bt extends pe{constructor({logits:S,...L}){super(),this.logits=S;const oe=Object.values(L);oe.length>0&&(this.attentions=oe)}}class hb extends pe{constructor({logits:S,embeddings:L}){super(),this.logits=S,this.embeddings=L}}class pr extends pe{constructor({logits:S}){super(),this.logits=S}}class wr extends pe{constructor({logits:S}){super(),this.logits=S}}class Cr extends pe{constructor({start_logits:S,end_logits:L}){super(),this.start_logits=S,this.end_logits=L}}class Fn extends pe{constructor({logits:S}){super(),this.logits=S}}class Cx extends pe{constructor({logits:S,past_key_values:L}){super(),this.logits=S,this.past_key_values=L}}class mb extends pe{constructor({alphas:S}){super(),this.alphas=S}}class _b extends pe{constructor({waveform:S,spectrogram:L}){super(),this.waveform=S,this.spectrogram=L}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,d=(0,i.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);for(let p=0;p{t.r(r),t.d(r,{AutoFeatureExtractor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js");t("./src/base/feature_extraction_utils.js");var n=t("./src/models/feature_extractors.js");class o{static async from_pretrained(l,d={}){const p=await(0,i.getModelJSON)(l,s.FEATURE_EXTRACTOR_NAME,!0,d),u=p.feature_extractor_type,h=n[u];if(!h)throw new Error(`Unknown feature_extractor_type: '${u}'. Please report this at ${s.GITHUB_ISSUE_URL}.`);return new h(p)}}},"./src/models/auto/image_processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoImageProcessor:()=>a});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/image_processors_utils.js"),o=t("./src/models/image_processors.js");class a{static async from_pretrained(d,p={}){const u=await(0,i.getModelJSON)(d,s.IMAGE_PROCESSOR_NAME,!0,p),h=u.image_processor_type??u.feature_extractor_type;let w=o[h];return w||(h!==void 0&&console.warn(`Image processor type '${h}' not found, assuming base ImageProcessor. Please report this at ${s.GITHUB_ISSUE_URL}.`),w=n.ImageProcessor),new w(u)}}},"./src/models/auto/processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoProcessor:()=>d});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/processing_utils.js"),o=t("./src/models/processors.js"),a=t("./src/models/image_processors.js"),l=t("./src/models/feature_extractors.js");class d{static async from_pretrained(u,h={}){const w=await(0,i.getModelJSON)(u,s.IMAGE_PROCESSOR_NAME,!0,h),{image_processor_type:f,feature_extractor_type:P,processor_class:A}=w;if(A&&o[A])return o[A].from_pretrained(u,h);if(!f&&!P)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const b={};if(f){const $=a[f];if(!$)throw new Error(`Unknown image_processor_type: '${f}'.`);b.image_processor=new $(w)}if(P){const $=a[P];if($)b.image_processor=new $(w);else{const T=l[P];if(!T)throw new Error(`Unknown feature_extractor_type: '${P}'.`);b.feature_extractor=new T(w)}}const y={};return new n.Processor(y,b)}}},"./src/models/beit/image_processing_beit.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(e,r,t)=>{t.r(r),t.d(r,{BitImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(e,r,t)=>{t.r(r),t.d(r,{ChineseCLIPFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(e,r,t)=>{t.r(r),t.d(r,{ClapFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a),this.mel_filters=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(a,l,d,p){let u;const h=a.length-l;if(h>0)if(d==="rand_trunc"){const w=Math.floor(Math.random()*(h+1));a=a.subarray(w,w+l),u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${d}" not implemented`);else{if(h<0){let w=new Float64Array(l);if(w.set(a),p==="repeat")for(let f=a.length;f{t.r(r),t.d(r,{CLIPFeatureExtractor:()=>n,CLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/convnext/image_processing_convnext.js":(e,r,t)=>{t.r(r),t.d(r,{ConvNextFeatureExtractor:()=>n,ConvNextImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(a){super(a),this.crop_pct=this.config.crop_pct??224/256}async resize(a){var d;const l=(d=this.size)==null?void 0:d.shortest_edge;if(l===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(l<384){const p=Math.floor(l/this.crop_pct),[u,h]=this.get_resize_output_image_size(a,{shortest_edge:p});a=await a.resize(u,h,{resample:this.resample}),a=await a.center_crop(l,l)}else a=await a.resize(l,l,{resample:this.resample});return a}}class n extends i{}},"./src/models/dac/feature_extraction_dac.js":(e,r,t)=>{t.r(r),t.d(r,{DacFeatureExtractor:()=>i});var s=t("./src/models/encodec/feature_extraction_encodec.js");class i extends s.EncodecFeatureExtractor{}},"./src/models/deit/image_processing_deit.js":(e,r,t)=>{t.r(r),t.d(r,{DeiTFeatureExtractor:()=>n,DeiTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/detr/image_processing_detr.js":(e,r,t)=>{t.r(r),t.d(r,{DetrFeatureExtractor:()=>o,DetrImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(l){const d=await super._call(l),p=[d.pixel_values.dims[0],64,64],u=(0,i.full)(p,1n);return{...d,pixel_mask:u}}post_process_object_detection(...l){return(0,s.post_process_object_detection)(...l)}post_process_panoptic_segmentation(...l){return(0,s.post_process_panoptic_segmentation)(...l)}post_process_instance_segmentation(...l){return(0,s.post_process_instance_segmentation)(...l)}}class o extends n{}},"./src/models/donut/image_processing_donut.js":(e,r,t)=>{t.r(r),t.d(r,{DonutFeatureExtractor:()=>n,DonutImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{pad_image(a,l,d,p={}){const[u,h,w]=l;let f=this.image_mean;Array.isArray(this.image_mean)||(f=new Array(w).fill(f));let P=this.image_std;Array.isArray(P)||(P=new Array(w).fill(f));const A=f.map((b,y)=>-b/P[y]);return super.pad_image(a,l,d,{center:!0,constant_values:A,...p})}}class n extends i{}},"./src/models/dpt/image_processing_dpt.js":(e,r,t)=>{t.r(r),t.d(r,{DPTFeatureExtractor:()=>n,DPTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/efficientnet/image_processing_efficientnet.js":(e,r,t)=>{t.r(r),t.d(r,{EfficientNetImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super(o),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(a=>a*a))}}},"./src/models/encodec/feature_extraction_encodec.js":(e,r,t)=>{t.r(r),t.d(r,{EncodecFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"EncodecFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=this.config.feature_size;if(a.length%l!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${l}).`);const d=[1,l,a.length/l];return{input_values:new i.Tensor("float32",a,d)}}}},"./src/models/feature_extractors.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>s.ASTFeatureExtractor,ClapFeatureExtractor:()=>n.ClapFeatureExtractor,DacFeatureExtractor:()=>o.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,ImageFeatureExtractor:()=>P.ImageProcessor,MoonshineFeatureExtractor:()=>a.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>l.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>d.SeamlessM4TFeatureExtractor,SnacFeatureExtractor:()=>p.SnacFeatureExtractor,SpeechT5FeatureExtractor:()=>u.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>h.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>w.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>f.WhisperFeatureExtractor});var s=t("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),i=t("./src/models/encodec/feature_extraction_encodec.js"),n=t("./src/models/clap/feature_extraction_clap.js"),o=t("./src/models/dac/feature_extraction_dac.js"),a=t("./src/models/moonshine/feature_extraction_moonshine.js"),l=t("./src/models/pyannote/feature_extraction_pyannote.js"),d=t("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),p=t("./src/models/snac/feature_extraction_snac.js"),u=t("./src/models/speecht5/feature_extraction_speecht5.js"),h=t("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),w=t("./src/models/wespeaker/feature_extraction_wespeaker.js"),f=t("./src/models/whisper/feature_extraction_whisper.js"),P=t("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(e,r,t)=>{t.r(r),t.d(r,{Florence2Processor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{constructor(l,d){super(l,d);const{tasks_answer_post_processing_type:p,task_prompts_without_inputs:u,task_prompts_with_input:h}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(p??{})),this.task_prompts_without_inputs=new Map(Object.entries(u??{})),this.task_prompts_with_input=new Map(Object.entries(h??{})),this.regexes={quad_boxes:/(.+?)/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(l){typeof l=="string"&&(l=[l]);const d=[];for(const p of l)if(this.task_prompts_without_inputs.has(p))d.push(this.task_prompts_without_inputs.get(p));else{for(const[u,h]of this.task_prompts_with_input)if(p.includes(u)){d.push(h.replaceAll("{input}",p).replaceAll(u,""));break}d.length!==l.length&&d.push(p)}return d}post_process_generation(l,d,p){const 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this.image_processor(p,h):{};return{...u?this.tokenizer(u,h):{},...w}}post_process_grounded_object_detection(p,u,{box_threshold:h=.25,text_threshold:w=.25,target_sizes:f=null}={}){const{logits:P,pred_boxes:A}=p,b=P.dims[0];if(f!==null&&f.length!==b)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const y=P.dims.at(1),$=P.sigmoid(),T=$.max(-1).tolist(),g=A.tolist().map(E=>E.map(k=>(0,o.center_to_corners_format)(k))),M=[];for(let E=0;EV.map((Y,H)=>Y*k[(H+1)%2])));const B=T[E],N=[],J=[],q=[];for(let V=0;V{t.r(r),t.d(r,{Idefics3ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{constructor(a){super(a),this.do_image_splitting=a.do_image_splitting??!0,this.max_image_size=a.max_image_size}get_resize_for_vision_encoder(a,l){let[d,p]=a.dims.slice(-2);const u=p/d;return 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s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super({do_pad:!0,pad_size:{width:o.image_size,height:o.image_size},...o}),this.constant_values=this.config.background_color.map(a=>a*this.rescale_factor)}pad_image(o,a,l,d){return super.pad_image(o,a,l,{constant_values:this.constant_values,center:!0,...d})}}},"./src/models/janus/processing_janus.js":(e,r,t)=>{t.r(r),t.d(r,{VLChatProcessor:()=>d});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/core.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/image.js");class d extends s.Processor{constructor(u,h){super(u,h),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(u,{images:h=null,chat_template:w="default"}={}){h?Array.isArray(h)||(h=[h]):h=await Promise.all(u.filter(N=>N.images).flatMap(N=>N.images).map(N=>l.RawImage.read(N)));const f=this.tokenizer,P=f.apply_chat_template(u,{tokenize:!1,add_generation_prompt:!0,chat_template:w}),A=N=>f.encode(N,{add_special_tokens:!1}),b=P.split(this.image_tag),y=b.length-1;if(h.length!==y)throw new Error(`Number of images provided (${h.length}) does not match number of "${this.image_tag}" image tags (${y})`);const[$,T,g]=f.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let M=A(b[0]),E=new Array(M.length).fill(!1);for(let N=1;N0){const N=await this.image_processor(h);return N.pixel_values.unsqueeze_(0),{...B,...N}}return B}}re(d,"image_processor_class",i.AutoImageProcessor),re(d,"tokenizer_class",n.AutoTokenizer),re(d,"uses_processor_config",!0)},"./src/models/jina_clip/image_processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){const{resize_mode:a,fill_color:l,interpolation:d,size:p,...u}=o,h=a==="squash"?{width:p,height:p}:a==="shortest"?{shortest_edge:p}:{longest_edge:p},w=d==="bicubic"?3:2;super({...u,size:h,resample:w,do_center_crop:!0,crop_size:p,do_normalize:!0})}}},"./src/models/jina_clip/processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPProcessor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{async _call(l=null,d=null,p={}){if(!l&&!d)throw new Error("Either text or images must be provided");const u=l?this.tokenizer(l,p):{},h=d?await this.image_processor(d,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/llava_onevision/image_processing_llava_onevision.js":(e,r,t)=>{t.r(r),t.d(r,{LlavaOnevisionImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(e,r,t)=>{t.r(r),t.d(r,{Mask2FormerImageProcessor:()=>i});var s=t("./src/models/maskformer/image_processing_maskformer.js");class i extends s.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(e,r,t)=>{t.r(r),t.d(r,{MaskFormerFeatureExtractor:()=>n,MaskFormerImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{post_process_panoptic_segmentation(...a){return(0,s.post_process_panoptic_segmentation)(...a)}post_process_instance_segmentation(...a){return(0,s.post_process_instance_segmentation)(...a)}}class n extends i{}},"./src/models/mgp_str/processing_mgp_str.js":(e,r,t)=>{t.r(r),t.d(r,{MgpstrProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/maths.js");const a={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class l extends s.Processor{get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(p,u){if(!a.hasOwnProperty(u))throw new Error(`Format ${u} is not supported.`);const[h,w]=a[u],f=this[h].bind(this),[P,A]=p.dims,b=[],y=[],$=p.tolist();for(let g=0;g0?k.reduce((N,J)=>N*J,1):0;y.push(E),b.push(B)}return[f(y),b]}char_decode(p){return this.char_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}bpe_decode(p){return this.bpe_tokenizer.batch_decode(p)}wp_decode(p){return this.wp_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}batch_decode([p,u,h]){const[w,f]=this._decode_helper(p,"char"),[P,A]=this._decode_helper(u,"bpe"),[b,y]=this._decode_helper(h,"wp"),$=[],T=[];for(let g=0;g{t.r(r),t.d(r,{MobileNetV1FeatureExtractor:()=>n,MobileNetV1ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV2FeatureExtractor:()=>n,MobileNetV2ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV3FeatureExtractor:()=>n,MobileNetV3ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v4/image_processing_mobilenet_v4.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV4FeatureExtractor:()=>n,MobileNetV4ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends 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Float64Array&&(a=new Float32Array(a));let l=a;this.config.do_normalize&&(l=this._zero_mean_unit_var_norm(l));const d=[1,l.length];return{input_values:new i.Tensor("float32",l,d),attention_mask:new i.Tensor("int64",new BigInt64Array(l.length).fill(1n),d)}}}},"./src/models/wav2vec2/processing_wav2vec2.js":(e,r,t)=>{t.r(r),t.d(r,{Wav2Vec2Processor:()=>o});var s=t("./src/tokenizers.js"),i=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/base/processing_utils.js");class o extends n.Processor{async _call(l){return await this.feature_extractor(l)}}re(o,"tokenizer_class",s.AutoTokenizer),re(o,"feature_extractor_class",i.AutoFeatureExtractor)},"./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js":(e,r,t)=>{t.r(r),t.d(r,{Wav2Vec2ProcessorWithLM:()=>o});var s=t("./src/tokenizers.js"),i=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/base/processing_utils.js");class o extends n.Processor{async _call(l){return await this.feature_extractor(l)}}re(o,"tokenizer_class",s.AutoTokenizer),re(o,"feature_extractor_class",i.AutoFeatureExtractor)},"./src/models/wespeaker/feature_extraction_wespeaker.js":(e,r,t)=>{t.r(r),t.d(r,{WeSpeakerFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,d=(0,i.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);for(let p=0;pl*32768),(0,i.spectrogram)(a,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(a){(0,s.validate_audio_inputs)(a,"WeSpeakerFeatureExtractor");const l=(await this._extract_fbank_features(a)).unsqueeze_(0);if(this.config.fbank_centering_span===null){const d=l.mean(1).data,p=l.data,[u,h,w]=l.dims;for(let f=0;f{t.r(r),t.d(r,{WHISPER_LANGUAGE_MAPPING:()=>i,WHISPER_TO_LANGUAGE_CODE_MAPPING:()=>n,whisper_language_to_code:()=>o});const s=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],i=new Map(s),n=new Map([...s.map(([a,l])=>[l,a]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function o(a){a=a.toLowerCase();let l=n.get(a);if(l===void 0){const d=a.match(/^<\|([a-z]{2})\|>$/);if(d&&(a=d[1]),i.has(a))l=a;else{const u=a.length===2?i.keys():i.values();throw new Error(`Language "${a}" is not supported. Must be one of: ${JSON.stringify(Array.from(u))}`)}}return l}},"./src/models/whisper/feature_extraction_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js"),n=t("./src/utils/maths.js");class o extends s.FeatureExtractor{constructor(l){var d;super(l),(d=this.config).mel_filters??(d.mel_filters=(0,i.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=(0,i.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(l){const d=await(0,i.spectrogram)(l,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:Math.min(Math.floor(l.length/this.config.hop_length),this.config.nb_max_frames)}),p=d.data,u=(0,n.max)(p)[0];for(let h=0;hu?(l.length>this.config.n_samples&&console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),p=l.slice(0,u)):(p=new Float32Array(u),p.set(l)),{input_features:(await this._extract_fbank_features(p)).unsqueeze_(0)}}}},"./src/models/whisper/generation_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperGenerationConfig:()=>i});var s=t("./src/generation/configuration_utils.js");class i extends s.GenerationConfig{constructor(){super(...arguments);re(this,"return_timestamps",null);re(this,"return_token_timestamps",null);re(this,"num_frames",null);re(this,"alignment_heads",null);re(this,"task",null);re(this,"language",null);re(this,"no_timestamps_token_id",null);re(this,"prompt_ids",null);re(this,"is_multilingual",null);re(this,"lang_to_id",null);re(this,"task_to_id",null);re(this,"max_initial_timestamp_index",1)}}},"./src/models/whisper/processing_whisper.js":(e,r,t)=>{t.r(r),t.d(r,{WhisperProcessor:()=>o});var s=t("./src/models/auto/feature_extraction_auto.js"),i=t("./src/tokenizers.js"),n=t("./src/base/processing_utils.js");class o extends n.Processor{async _call(l){return await this.feature_extractor(l)}}re(o,"tokenizer_class",i.AutoTokenizer),re(o,"feature_extractor_class",s.AutoFeatureExtractor)},"./src/models/yolos/image_processing_yolos.js":(e,r,t)=>{t.r(r),t.d(r,{YolosFeatureExtractor:()=>n,YolosImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{post_process_object_detection(...a){return(0,s.post_process_object_detection)(...a)}}class n extends i{}},"./src/ops/registry.js":(e,r,t)=>{t.r(r),t.d(r,{TensorOpRegistry:()=>l});var s=t("./src/backends/onnx.js"),i=t("./src/utils/tensor.js"),n=t("./src/env.js");const o=n.apis.IS_BROWSER_ENV||n.apis.IS_WEBWORKER_ENV,a=async(d,p,u)=>{const h=await(0,s.createInferenceSession)(new Uint8Array(d),p);let w=Promise.resolve();return async f=>{const P=(0,s.isONNXProxy)(),A=Object.fromEntries(Object.entries(f).map(([y,$])=>[y,(P?$.clone():$).ort_tensor])),b=await(w=o?w.then(()=>h.run(A)):h.run(A));return Array.isArray(u)?u.map(y=>new i.Tensor(b[y])):new i.Tensor(b[u])}};class l{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=a([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,"y")),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=a([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=a([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=a([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=a([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=a([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=a([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}static get slice(){return this._slice||(this._slice=a([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,"y")),this._slice}}re(l,"session_options",{})},"./src/pipelines.js":(e,r,t)=>{t.r(r),t.d(r,{AudioClassificationPipeline:()=>q,AutomaticSpeechRecognitionPipeline:()=>Y,BackgroundRemovalPipeline:()=>le,DepthEstimationPipeline:()=>X,DocumentQuestionAnsweringPipeline:()=>O,FeatureExtractionPipeline:()=>N,FillMaskPipeline:()=>$,ImageClassificationPipeline:()=>Q,ImageFeatureExtractionPipeline:()=>J,ImageSegmentationPipeline:()=>ie,ImageToImagePipeline:()=>ne,ImageToTextPipeline:()=>H,ObjectDetectionPipeline:()=>we,Pipeline:()=>P,QuestionAnsweringPipeline:()=>y,SummarizationPipeline:()=>g,Text2TextGenerationPipeline:()=>T,TextClassificationPipeline:()=>A,TextGenerationPipeline:()=>k,TextToAudioPipeline:()=>G,TokenClassificationPipeline:()=>b,TranslationPipeline:()=>M,ZeroShotAudioClassificationPipeline:()=>V,ZeroShotClassificationPipeline:()=>B,ZeroShotImageClassificationPipeline:()=>ae,ZeroShotObjectDetectionPipeline:()=>R,pipeline:()=>ke});var s=t("./src/tokenizers.js"),i=t("./src/models.js"),n=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var o=t("./src/utils/generic.js"),a=t("./src/utils/core.js"),l=t("./src/utils/maths.js"),d=t("./src/utils/audio.js"),p=t("./src/utils/tensor.js"),u=t("./src/utils/image.js");async function h(Me){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(K=>u.RawImage.read(K)))}async function w(Me,K){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(U=>typeof U=="string"||U instanceof URL?(0,d.read_audio)(U,K):U instanceof Float64Array?new Float32Array(U):U))}function f(Me,K){K&&(Me=Me.map(Ae=>Ae|0));const[U,pe,Pe,Te]=Me;return{xmin:U,ymin:pe,xmax:Pe,ymax:Te}}class P extends o.Callable{constructor({task:K,model:U,tokenizer:pe=null,processor:Pe=null}){super(),this.task=K,this.model=U,this.tokenizer=pe,this.processor=Pe}async dispose(){await this.model.dispose()}}class A extends P{constructor(K){super(K)}async _call(K,{top_k:U=1}={}){const pe=this.tokenizer(K,{padding:!0,truncation:!0}),Pe=await this.model(pe),Te=this.model.config.problem_type==="multi_label_classification"?Le=>Le.sigmoid():Le=>new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),Ae=this.model.config.id2label,Ie=[];for(const Le of Pe.logits){const Ne=Te(Le),Ve=await(0,p.topk)(Ne,U),D=Ve[0].tolist(),z=Ve[1].tolist().map((ee,ce)=>({label:Ae?Ae[ee]:`LABEL_${ee}`,score:D[ce]}));U===1?Ie.push(...z):Ie.push(z)}return Array.isArray(K)||U===1?Ie:Ie[0]}}class b extends P{constructor(K){super(K)}async _call(K,{ignore_labels:U=["O"]}={}){const pe=Array.isArray(K),Pe=this.tokenizer(pe?K:[K],{padding:!0,truncation:!0}),Ae=(await this.model(Pe)).logits,Ie=this.model.config.id2label,Le=[];for(let Ne=0;NeFe==this.tokenizer.sep_token_id);Le[D].map((Fe,je)=>Fe==1&&(je===0||je>z&&Ne.findIndex(Qe=>Qe==Z[je])===-1));const ee=Te[D].tolist(),ce=Ae[D].tolist();for(let Fe=1;Feje==Z[Fe])!==-1)&&(ee[Fe]=-1/0,ce[Fe]=-1/0);const be=(0,l.softmax)(ee).map((Fe,je)=>[Fe,je]),ve=(0,l.softmax)(ce).map((Fe,je)=>[Fe,je]);be[0][0]=0,ve[0][0]=0;const Re=(0,a.product)(be,ve).filter(Fe=>Fe[0][1]<=Fe[1][1]).map(Fe=>[Fe[0][1],Fe[1][1],Fe[0][0]*Fe[1][0]]).sort((Fe,je)=>je[2]-Fe[2]);for(let Fe=0;Feee==this.tokenizer.mask_token_id);if(Ne===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const Ve=Pe[Ie][Ne],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),z=D[1].tolist();Te.push(z.map((ee,ce)=>{const be=Le.slice();return be[Ne]=ee,{score:Z[ce],token:Number(ee),token_str:this.tokenizer.decode([ee]),sequence:this.tokenizer.decode(be,{skip_special_tokens:!0})}}))}return Array.isArray(K)?Te:Te[0]}}class T extends P{constructor(U){super(U);re(this,"_key","generated_text")}async _call(U,pe={}){Array.isArray(U)||(U=[U]),this.model.config.prefix&&(U=U.map(Ne=>this.model.config.prefix+Ne));const Pe=this.model.config.task_specific_params;Pe&&Pe[this.task]&&Pe[this.task].prefix&&(U=U.map(Ne=>Pe[this.task].prefix+Ne));const Te=this.tokenizer,Ae={padding:!0,truncation:!0};let Ie;this instanceof M&&"_build_translation_inputs"in Te?Ie=Te._build_translation_inputs(U,Ae,pe):Ie=Te(U,Ae);const Le=await this.model.generate({...Ie,...pe});return Te.batch_decode(Le,{skip_special_tokens:!0}).map(Ne=>({[this._key]:Ne}))}}class g extends T{constructor(U){super(U);re(this,"_key","summary_text")}}class M extends T{constructor(U){super(U);re(this,"_key","translation_text")}}function E(Me){return Array.isArray(Me)&&Me.every(K=>"role"in K&&"content"in K)}class k extends P{constructor(K){super(K)}async _call(K,U={}){let pe=!1,Pe=!1,Te;if(typeof K=="string")Te=K=[K];else if(Array.isArray(K)&&K.every(z=>typeof z=="string"))pe=!0,Te=K;else{if(E(K))K=[K];else if(Array.isArray(K)&&K.every(E))pe=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");Pe=!0,Te=K.map(z=>this.tokenizer.apply_chat_template(z,{tokenize:!1,add_generation_prompt:!0}))}const Ae=U.add_special_tokens??!1,Ie=Pe?!1:U.return_full_text??!0;this.tokenizer.padding_side="left";const Le=this.tokenizer(Te,{add_special_tokens:Ae,padding:!0,truncation:!0}),Ne=await this.model.generate({...Le,...U}),Ve=this.tokenizer.batch_decode(Ne,{skip_special_tokens:!0});let D;!Ie&&Le.input_ids.dims.at(-1)>0&&(D=this.tokenizer.batch_decode(Le.input_ids,{skip_special_tokens:!0}).map(z=>z.length));const Z=Array.from({length:K.length},z=>[]);for(let z=0;z[U.toLowerCase(),pe])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(K,U,{hypothesis_template:pe="This example is {}.",multi_label:Pe=!1}={}){const Te=Array.isArray(K);Te||(K=[K]),Array.isArray(U)||(U=[U]);const Ae=U.map(Ne=>pe.replace("{}",Ne)),Ie=Pe||U.length===1,Le=[];for(const Ne of K){const Ve=[];for(const z of Ae){const ee=this.tokenizer(Ne,{text_pair:z,padding:!0,truncation:!0}),ce=await this.model(ee);Ie?Ve.push([ce.logits.data[this.contradiction_id],ce.logits.data[this.entailment_id]]):Ve.push(ce.logits.data[this.entailment_id])}const Z=(Ie?Ve.map(z=>(0,l.softmax)(z)[1]):(0,l.softmax)(Ve)).map((z,ee)=>[z,ee]).sort((z,ee)=>ee[0]-z[0]);Le.push({sequence:Ne,labels:Z.map(z=>U[z[1]]),scores:Z.map(z=>z[0])})}return Te?Le:Le[0]}}class N extends P{constructor(K){super(K)}async _call(K,{pooling:U="none",normalize:pe=!1,quantize:Pe=!1,precision:Te="binary"}={}){const Ae=this.tokenizer(K,{padding:!0,truncation:!0}),Ie=await this.model(Ae);let Le=Ie.last_hidden_state??Ie.logits??Ie.token_embeddings;if(U!=="none")if(U==="mean")Le=(0,p.mean_pooling)(Le,Ae.attention_mask);else if(U==="cls")Le=Le.slice(null,0);else throw Error(`Pooling method '${U}' not supported.`);return pe&&(Le=Le.normalize(2,-1)),Pe&&(Le=(0,p.quantize_embeddings)(Le,Te)),Le}}class J extends P{constructor(K){super(K)}async _call(K,{pool:U=null}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Te=await this.model({pixel_values:Pe});let Ae;if(U){if(!("pooler_output"in Te))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");Ae=Te.pooler_output}else Ae=Te.last_hidden_state??Te.logits??Te.image_embeds;return Ae}}class q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=this.processor.feature_extractor.config.sampling_rate,Pe=await w(K,pe),Te=this.model.config.id2label,Ae=[];for(const Ie of Pe){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),ee=D[1].tolist().map((ce,be)=>({label:Te?Te[ce]:`LABEL_${ce}`,score:Z[be]}));Ae.push(ee)}return Array.isArray(K)?Ae:Ae[0]}}class V extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a sound of {}."}={}){const Pe=!Array.isArray(K);Pe&&(K=[K]);const Te=U.map(Ve=>pe.replace("{}",Ve)),Ae=this.tokenizer(Te,{padding:!0,truncation:!0}),Ie=this.processor.feature_extractor.config.sampling_rate,Le=await w(K,Ie),Ne=[];for(const Ve of Le){const D=await this.processor(Ve),Z=await this.model({...Ae,...D}),z=(0,l.softmax)(Z.logits_per_audio.data);Ne.push([...z].map((ee,ce)=>({score:ee,label:U[ce]})))}return Pe?Ne[0]:Ne}}class Y extends P{constructor(K){super(K)}async _call(K,U={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(K,U);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(K,U);case"moonshine":return this._call_moonshine(K,U);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(K,U){U.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),U.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Te=await w(K,Pe),Ae=[];for(const Ie of Te){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=[];for(const z of Ve)D.push((0,l.max)(z.data)[1]);const Z=this.tokenizer.decode(D);Ae.push({text:Z})}return pe?Ae[0]:Ae}async _call_whisper(K,U){const pe=U.return_timestamps??!1,Pe=U.chunk_length_s??0,Te=U.force_full_sequences??!1;let Ae=U.stride_length_s??null;const Ie={...U};pe==="word"&&(Ie.return_token_timestamps=!0,Ie.return_timestamps=!1);const Le=!Array.isArray(K);Le&&(K=[K]);const Ne=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,Ve=this.processor.feature_extractor.config.hop_length,D=this.processor.feature_extractor.config.sampling_rate,Z=await w(K,D),z=[];for(const ee of Z){let ce=[];if(Pe>0){if(Ae===null)Ae=Pe/6;else if(Pe<=Ae)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Re=D*Pe,Fe=D*Ae,je=Re-2*Fe;let Qe=0;for(;;){const Xe=Qe+Re,ut=ee.subarray(Qe,Xe),wt=await this.processor(ut),nr=Qe===0,jt=Xe>=ee.length;if(ce.push({stride:[ut.length,nr?0:Fe,jt?0:Fe],input_features:wt.input_features,is_last:jt}),jt)break;Qe+=je}}else ce=[{stride:[ee.length,0,0],input_features:(await this.processor(ee)).input_features,is_last:!0}];for(const Re of ce){Ie.num_frames=Math.floor(Re.stride[0]/Ve);const Fe=await this.model.generate({inputs:Re.input_features,...Ie});pe==="word"?(Re.tokens=Fe.sequences.tolist()[0],Re.token_timestamps=Fe.token_timestamps.tolist()[0].map(je=>(0,l.round)(je,2))):Re.tokens=Fe[0].tolist(),Re.stride=Re.stride.map(je=>je/D)}const[be,ve]=this.tokenizer._decode_asr(ce,{time_precision:Ne,return_timestamps:pe,force_full_sequences:Te});z.push({text:be,...ve})}return Le?z[0]:z}async _call_moonshine(K,U){const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Te=await w(K,Pe),Ae=[];for(const Ie of Te){const Le=await this.processor(Ie),Ne=Math.floor(Ie.length/Pe)*6,Ve=await this.model.generate({max_new_tokens:Ne,...U,...Le}),D=this.processor.batch_decode(Ve,{skip_special_tokens:!0})[0];Ae.push({text:D})}return pe?Ae[0]:Ae}}class H extends P{constructor(K){super(K)}async _call(K,U={}){const pe=Array.isArray(K),Pe=await h(K),{pixel_values:Te}=await this.processor(Pe),Ae=[];for(const Ie of Te){Ie.dims=[1,...Ie.dims];const Le=await this.model.generate({inputs:Ie,...U}),Ne=this.tokenizer.batch_decode(Le,{skip_special_tokens:!0}).map(Ve=>({generated_text:Ve.trim()}));Ae.push(Ne)}return pe?Ae:Ae[0]}}class Q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Te=await this.model({pixel_values:Pe}),Ae=this.model.config.id2label,Ie=[];for(const Le of Te.logits){const Ne=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),U),Ve=Ne[0].tolist(),Z=Ne[1].tolist().map((z,ee)=>({label:Ae?Ae[z]:`LABEL_${z}`,score:Ve[ee]}));Ie.push(Z)}return Array.isArray(K)?Ie:Ie[0]}}class ie extends P{constructor(K){super(K),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(K,{threshold:U=.5,mask_threshold:pe=.5,overlap_mask_area_threshold:Pe=.8,label_ids_to_fuse:Te=null,target_sizes:Ae=null,subtask:Ie=null}={}){if(Array.isArray(K)&&K.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const Ne=await h(K),Ve=Ne.map(Re=>[Re.height,Re.width]),D=await this.processor(Ne),{inputNames:Z,outputNames:z}=this.model.sessions.model;if(!Z.includes("pixel_values")){if(Z.length!==1)throw Error(`Expected a single input name, but got ${Z.length} inputs: ${Z}.`);const Re=Z[0];if(Re in D)throw Error(`Input name ${Re} already exists in the inputs.`);D[Re]=D.pixel_values}const ee=await this.model(D);let ce=null;if(Ie!==null)ce=this.subtasks_mapping[Ie];else if(this.processor.image_processor){for(const[Re,Fe]of Object.entries(this.subtasks_mapping))if(Fe in this.processor.image_processor){ce=this.processor.image_processor[Fe].bind(this.processor.image_processor),Ie=Re;break}}const be=this.model.config.id2label,ve=[];if(Ie)if(Ie==="panoptic"||Ie==="instance"){const Re=ce(ee,U,pe,Pe,Te,Ae??Ve)[0],Fe=Re.segmentation;for(const je of Re.segments_info){const Qe=new Uint8ClampedArray(Fe.data.length);for(let ut=0;utwt<-1e-5||wt>1+1e-5)&&Xe.sigmoid_();const ut=await u.RawImage.fromTensor(Xe.mul_(255).to("uint8")).resize(Qe[1],Qe[0]);ve.push({label:null,score:null,mask:ut})}}return ve}}class le extends ie{constructor(K){super(K)}async _call(K,U={}){if(Array.isArray(K)&&K.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const Pe=await h(K),Te=await super._call(K,U);return Pe.map((Ie,Le)=>{const Ne=Ie.clone();return Ne.putAlpha(Te[Le].mask),Ne})}}class ae extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a photo of {}"}={}){const Pe=Array.isArray(K),Te=await h(K),Ae=U.map(Z=>pe.replace("{}",Z)),Ie=this.tokenizer(Ae,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:Le}=await this.processor(Te),Ne=await this.model({...Ie,pixel_values:Le}),Ve=this.model.config.model_type==="siglip"?Z=>Z.sigmoid().data:Z=>(0,l.softmax)(Z.data),D=[];for(const Z of Ne.logits_per_image){const ee=[...Ve(Z)].map((ce,be)=>({score:ce,label:U[be]}));ee.sort((ce,be)=>be.score-ce.score),D.push(ee)}return Pe?D:D[0]}}class we extends P{constructor(K){super(K)}async _call(K,{threshold:U=.9,percentage:pe=!1}={}){const Pe=Array.isArray(K);if(Pe&&K.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const Te=await h(K),Ae=pe?null:Te.map(z=>[z.height,z.width]),{pixel_values:Ie,pixel_mask:Le}=await this.processor(Te),Ne=await this.model({pixel_values:Ie,pixel_mask:Le}),Ve=this.processor.image_processor.post_process_object_detection(Ne,U,Ae),D=this.model.config.id2label,Z=Ve.map(z=>z.boxes.map((ee,ce)=>({score:z.scores[ce],label:D[z.classes[ce]],box:f(ee,!pe)})));return Pe?Z:Z[0]}}class R extends P{constructor(K){super(K)}async _call(K,U,{threshold:pe=.1,top_k:Pe=null,percentage:Te=!1}={}){const Ae=Array.isArray(K),Ie=await h(K),Le=this.tokenizer(U,{padding:!0,truncation:!0}),Ne=await this.processor(Ie),Ve=[];for(let D=0;D({score:ve.scores[Fe],label:ve.labels[Fe],box:f(Re,!Te)}))}else{const ve=this.processor.image_processor.post_process_object_detection(ce,pe,z,!0)[0];be=ve.boxes.map((Re,Fe)=>({score:ve.scores[Fe],label:U[ve.classes[Fe]],box:f(Re,!Te)}))}be.sort((ve,Re)=>Re.score-ve.score),Pe!==null&&(be=be.slice(0,Pe)),Ve.push(be)}return Ae?Ve:Ve[0]}}class O extends P{constructor(K){super(K)}async _call(K,U,pe={}){const Pe=(await h(K))[0],{pixel_values:Te}=await this.processor(Pe),Ae=`${U}`,Ie=this.tokenizer(Ae,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,Le=await this.model.generate({inputs:Te,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:Ie,...pe}),Ve=this.tokenizer.batch_decode(Le)[0].match(/(.*?)<\/s_answer>/);let D=null;return Ve&&Ve.length>=2&&(D=Ve[1].trim()),[{answer:D}]}}class G extends P{constructor(U){super(U);re(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=U.vocoder??null}async _call(U,{speaker_embeddings:pe=null}={}){return this.processor?this._call_text_to_spectrogram(U,{speaker_embeddings:pe}):this._call_text_to_waveform(U)}async _call_text_to_waveform(U){const pe=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Pe}=await this.model(pe),Te=this.model.config.sampling_rate;return new d.RawAudio(Pe.data,Te)}async _call_text_to_spectrogram(U,{speaker_embeddings:pe}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await i.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof pe=="string"||pe instanceof URL)&&(pe=new Float32Array(await(await fetch(pe)).arrayBuffer())),pe instanceof Float32Array)pe=new p.Tensor("float32",pe,[1,pe.length]);else if(!(pe instanceof p.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:Pe}=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Te}=await this.model.generate_speech(Pe,pe,{vocoder:this.vocoder}),Ae=this.processor.feature_extractor.config.sampling_rate;return new d.RawAudio(Te.data,Ae)}}class ne extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),Pe=await this.model(pe),Te=[];for(const Ae of Pe.reconstruction){const Ie=Ae.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");Te.push(u.RawImage.fromTensor(Ie))}return Te.length>1?Te:Te[0]}}class X extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),{predicted_depth:Pe}=await this.model(pe),Te=[];for(let Ae=0;Ae1?Te:Te[0]}}const ye=Object.freeze({"text-classification":{tokenizer:s.AutoTokenizer,pipeline:A,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:s.AutoTokenizer,pipeline:b,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:s.AutoTokenizer,pipeline:y,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:s.AutoTokenizer,pipeline:$,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:s.AutoTokenizer,pipeline:g,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:s.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:s.AutoTokenizer,pipeline:T,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:s.AutoTokenizer,pipeline:k,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:s.AutoTokenizer,pipeline:B,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:q,model:i.AutoModelForAudioClassification,processor:n.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:s.AutoTokenizer,pipeline:V,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:s.AutoTokenizer,pipeline:Y,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:n.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:s.AutoTokenizer,pipeline:G,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[n.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:s.AutoTokenizer,pipeline:H,model:i.AutoModelForVision2Seq,processor:n.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:Q,model:i.AutoModelForImageClassification,processor:n.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ie,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:le,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:s.AutoTokenizer,pipeline:ae,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:we,model:i.AutoModelForObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:s.AutoTokenizer,pipeline:R,model:i.AutoModelForZeroShotObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:s.AutoTokenizer,pipeline:O,model:i.AutoModelForDocumentQuestionAnswering,processor:n.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:ne,model:i.AutoModelForImageToImage,processor:n.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:X,model:i.AutoModelForDepthEstimation,processor:n.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:s.AutoTokenizer,pipeline:N,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:n.AutoProcessor,pipeline:J,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),_e=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function ke(Me,K=null,{progress_callback:U=null,config:pe=null,cache_dir:Pe=null,local_files_only:Te=!1,revision:Ae="main",device:Ie=null,dtype:Le=null,subfolder:Ne="onnx",use_external_data_format:Ve=null,model_file_name:D=null,session_options:Z={}}={}){Me=_e[Me]??Me;const z=ye[Me.split("_",1)[0]];if(!z)throw Error(`Unsupported pipeline: ${Me}. Must be one of [${Object.keys(ye)}]`);K||(K=z.default.model,console.log(`No model specified. Using default model: "${K}".`));const ee={progress_callback:U,config:pe,cache_dir:Pe,local_files_only:Te,revision:Ae,device:Ie,dtype:Le,subfolder:Ne,use_external_data_format:Ve,model_file_name:D,session_options:Z},ce=new Map([["tokenizer",z.tokenizer],["model",z.model],["processor",z.processor]]),be=await He(ce,K,ee);be.task=Me,(0,a.dispatchCallback)(U,{status:"ready",task:Me,model:K});const ve=z.pipeline;return new ve(be)}async function He(Me,K,U){const pe=Object.create(null),Pe=[];for(const[Te,Ae]of Me.entries()){if(!Ae)continue;let Ie;Array.isArray(Ae)?Ie=new Promise(async(Le,Ne)=>{var D,Z;let Ve;for(const z of Ae){if(z===null){Le(null);return}try{Le(await z.from_pretrained(K,U));return}catch(ee){if((D=ee.message)!=null&&D.includes("Unsupported model type"))Ve=ee;else if((Z=ee.message)!=null&&Z.includes("Could not locate file"))Ve=ee;else{Ne(ee);return}}}Ne(Ve)}):Ie=Ae.from_pretrained(K,U),pe[Te]=Ie,Pe.push(Ie)}await Promise.all(Pe);for(const[Te,Ae]of Object.entries(pe))pe[Te]=await Ae;return pe}},"./src/tokenizers.js":(e,r,t)=>{t.r(r),t.d(r,{AlbertTokenizer:()=>Ur,AutoTokenizer:()=>Cn,BartTokenizer:()=>hs,BertTokenizer:()=>qr,BlenderbotSmallTokenizer:()=>Jr,BlenderbotTokenizer:()=>Fr,BloomTokenizer:()=>Qr,CLIPTokenizer:()=>Tn,CamembertTokenizer:()=>it,CodeGenTokenizer:()=>Xr,CodeLlamaTokenizer:()=>Qs,CohereTokenizer:()=>Pn,ConvBertTokenizer:()=>mr,DebertaTokenizer:()=>Ts,DebertaV2Tokenizer:()=>Es,DistilBertTokenizer:()=>et,ElectraTokenizer:()=>zt,EsmTokenizer:()=>Zs,FalconTokenizer:()=>fs,GPT2Tokenizer:()=>ps,GPTNeoXTokenizer:()=>Ys,GemmaTokenizer:()=>Lr,Grok1Tokenizer:()=>Cs,HerbertTokenizer:()=>Ds,LlamaTokenizer:()=>qs,M2M100Tokenizer:()=>zs,MBart50Tokenizer:()=>ms,MBartTokenizer:()=>Er,MPNetTokenizer:()=>Js,MarianTokenizer:()=>En,MgpstrTokenizer:()=>Ss,MobileBertTokenizer:()=>us,NllbTokenizer:()=>Ls,NougatTokenizer:()=>_r,PreTrainedTokenizer:()=>dt,Qwen2Tokenizer:()=>en,RoFormerTokenizer:()=>Be,RobertaTokenizer:()=>_s,SiglipTokenizer:()=>zr,SpeechT5Tokenizer:()=>cr,SqueezeBertTokenizer:()=>xs,T5Tokenizer:()=>Ir,TokenizerModel:()=>J,VitsTokenizer:()=>Rs,Wav2Vec2CTCTokenizer:()=>Bs,WhisperTokenizer:()=>Ar,XLMRobertaTokenizer:()=>Xs,XLMTokenizer:()=>rr,is_chinese_char:()=>$});var s=t("./src/utils/generic.js"),i=t("./src/utils/core.js"),n=t("./src/utils/hub.js"),o=t("./src/utils/maths.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/data-structures.js"),d=t("./node_modules/@huggingface/jinja/dist/index.js"),p=t("./src/models/whisper/common_whisper.js");async function u(ue,F){const j=await Promise.all([(0,n.getModelJSON)(ue,"tokenizer.json",!0,F),(0,n.getModelJSON)(ue,"tokenizer_config.json",!0,F)]);return F.legacy!==null&&(j[1].legacy=F.legacy),j}function h(ue,F){const j=[];let te=0;for(const de of ue.matchAll(F)){const he=de[0];te0&&j.push(he),te=de.index+he.length}return te=19968&&ue<=40959||ue>=13312&&ue<=19903||ue>=131072&&ue<=173791||ue>=173824&&ue<=177983||ue>=177984&&ue<=178207||ue>=178208&&ue<=183983||ue>=63744&&ue<=64255||ue>=194560&&ue<=195103}function T(ue,F,j){const te=[];let de=0;for(;dethis.tokens_to_ids.get(j)??this.unk_token_id)}convert_ids_to_tokens(F){return F.map(j=>this.vocab[j]??this.unk_token)}}class q extends J{constructor(F){super(F),this.tokens_to_ids=f(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.max_input_chars_per_word=F.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[j,te]of this.tokens_to_ids)this.vocab[te]=j}encode(F){const j=[];for(const te of F){const de=[...te];if(de.length>this.max_input_chars_per_word){j.push(this.unk_token);continue}let he=!1,Ce=0;const We=[];for(;Ce0&&(Ze=this.config.continuing_subword_prefix+Ze),this.tokens_to_ids.has(Ze)){Ke=Ze;break}--qe}if(Ke===null){he=!0;break}We.push(Ke),Ce=qe}he?j.push(this.unk_token):j.push(...We)}return j}}class V extends J{constructor(F,j){super(F);const te=F.vocab.length;this.vocab=new Array(te),this.scores=new Array(te);for(let de=0;de[de,he])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,o.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new l.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(F){const j=F.chars,te=1;let de=0;for(;de{const ue=[...Array.from({length:94},(de,he)=>he+33),...Array.from({length:12},(de,he)=>he+161),...Array.from({length:82},(de,he)=>he+174)],F=ue.slice();let j=0;for(let de=0;de<256;++de)ue.includes(de)||(ue.push(de),F.push(256+j),j+=1);const te=F.map(de=>String.fromCharCode(de));return Object.fromEntries(ue.map((de,he)=>[de,te[he]]))})(),H=(0,i.reverseDictionary)(Y);class Q extends J{constructor(F){super(F),this.tokens_to_ids=f(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[te,de]of this.tokens_to_ids)this.vocab[de]=te;const j=Array.isArray(F.merges[0]);this.merges=j?F.merges:F.merges.map(te=>te.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((te,de)=>[JSON.stringify(te),de])),this.end_of_word_suffix=F.end_of_word_suffix,this.continuing_subword_suffix=F.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.cache=new Map}bpe(F){if(F.length===0)return[];const j=this.cache.get(F);if(j!==void 0)return j;const te=Array.from(F);this.end_of_word_suffix&&(te[te.length-1]+=this.end_of_word_suffix);let de=[];if(te.length>1){const he=new l.PriorityQueue((qe,Ke)=>qe.score`<0x${We.toString(16).toUpperCase().padStart(2,"0")}>`);Ce.every(We=>this.tokens_to_ids.has(We))?j.push(...Ce):j.push(this.unk_token)}else j.push(this.unk_token)}return j}}class ie extends J{constructor(F,j){super(F),this.tokens_to_ids=f(j.target_lang?F.vocab[j.target_lang]:F.vocab),this.bos_token=j.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=j.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=j.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[te,de]of this.tokens_to_ids)this.vocab[de]=te}encode(F){return F}}class le extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"BertNormalizer":return new Me(F);case"Precompiled":return new jt(F);case"Sequence":return new He(F);case"Replace":return new ae(F);case"NFC":return new R(F);case"NFD":return new O(F);case"NFKC":return new G(F);case"NFKD":return new ne(F);case"Strip":return new X(F);case"StripAccents":return new ye(F);case"Lowercase":return new _e(F);case"Prepend":return new ke(F);default:throw new Error(`Unknown Normalizer type: ${F.type}`)}}normalize(F){throw Error("normalize should be implemented in subclass.")}_call(F){return this.normalize(F)}}class ae extends le{normalize(F){const j=w(this.config.pattern);return j===null?F:F.replaceAll(j,this.config.content)}}class we extends le{constructor(){super(...arguments);re(this,"form")}normalize(j){return j=j.normalize(this.form),j}}class R extends we{constructor(){super(...arguments);re(this,"form","NFC")}}class O extends we{constructor(){super(...arguments);re(this,"form","NFD")}}class G extends we{constructor(){super(...arguments);re(this,"form","NFKC")}}class ne extends we{constructor(){super(...arguments);re(this,"form","NFKD")}}class X extends le{normalize(F){return this.config.strip_left&&this.config.strip_right?F=F.trim():(this.config.strip_left&&(F=F.trimStart()),this.config.strip_right&&(F=F.trimEnd())),F}}class ye extends le{normalize(F){return F=b(F),F}}class _e extends le{normalize(F){return F=F.toLowerCase(),F}}class ke extends le{normalize(F){return F=this.config.prepend+F,F}}class He extends le{constructor(F){super(F),this.normalizers=F.normalizers.map(j=>le.fromConfig(j))}normalize(F){return this.normalizers.reduce((j,te)=>te.normalize(j),F)}}class Me extends le{_tokenize_chinese_chars(F){const j=[];for(let te=0;tethis.pre_tokenize_text(te,j)):this.pre_tokenize_text(F,j)).flat()}_call(F,j){return this.pre_tokenize(F,j)}}class U extends K{constructor(F){super(),this.pattern=new RegExp(`[^\\s${M}]+|[${M}]`,"gu")}pre_tokenize_text(F,j){return F.trim().match(this.pattern)||[]}}class pe extends K{constructor(F){super(),this.config=F,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Y,this.text_encoder=new TextEncoder}pre_tokenize_text(F,j){return this.add_prefix_space&&!F.startsWith(" ")&&(F=" "+F),(this.use_regex?F.match(this.pattern)||[]:[F]).map(de=>Array.from(this.text_encoder.encode(de),he=>this.byte_encoder[he]).join(""))}}class Pe extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern,this.config.invert)}pre_tokenize_text(F,j){var te;return this.pattern===null?[]:this.config.invert?F.match(this.pattern)||[]:((te=this.config.behavior)==null?void 0:te.toLowerCase())==="removed"?F.split(this.pattern).filter(de=>de):h(F,this.pattern)}}class Te extends K{constructor(F){super(),this.config=F,this.pattern=new RegExp(`[^${M}]+|[${M}]+`,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Ae extends K{constructor(F){super(),this.config=F;const j=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(j,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Ie extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"TemplateProcessing":return new Ve(F);case"ByteLevel":return new D(F);case"RobertaProcessing":return new Ne(F);case"BertProcessing":return new Le(F);case"Sequence":return new Z(F);default:throw new Error(`Unknown PostProcessor type: ${F.type}`)}}post_process(F,...j){throw Error("post_process should be implemented in subclass.")}_call(F,...j){return this.post_process(F,...j)}}class Le extends Ie{constructor(F){super(F),this.cls=F.cls[0],this.sep=F.sep[0]}post_process(F,j=null,{add_special_tokens:te=!0}={}){te&&(F=(0,i.mergeArrays)([this.cls],F,[this.sep]));let de=new Array(F.length).fill(0);if(j!==null){const he=te&&this instanceof Ne?[this.sep]:[],Ce=te?[this.sep]:[];F=(0,i.mergeArrays)(F,he,j,Ce),de=(0,i.mergeArrays)(de,new Array(j.length+he.length+Ce.length).fill(1))}return{tokens:F,token_type_ids:de}}}class Ne extends Le{}class Ve extends Ie{constructor(F){super(F),this.single=F.single,this.pair=F.pair}post_process(F,j=null,{add_special_tokens:te=!0}={}){const de=j===null?this.single:this.pair;let he=[],Ce=[];for(const We of de)"SpecialToken"in We?te&&(he.push(We.SpecialToken.id),Ce.push(We.SpecialToken.type_id)):"Sequence"in We&&(We.Sequence.id==="A"?(he=(0,i.mergeArrays)(he,F),Ce=(0,i.mergeArrays)(Ce,new Array(F.length).fill(We.Sequence.type_id))):We.Sequence.id==="B"&&(he=(0,i.mergeArrays)(he,j),Ce=(0,i.mergeArrays)(Ce,new Array(j.length).fill(We.Sequence.type_id))));return{tokens:he,token_type_ids:Ce}}}class D extends Ie{post_process(F,j=null){return j&&(F=(0,i.mergeArrays)(F,j)),{tokens:F}}}class Z extends Ie{constructor(F){super(F),this.processors=F.processors.map(j=>Ie.fromConfig(j))}post_process(F,j=null,te={}){let de;for(const he of this.processors)if(he instanceof D)F=he.post_process(F).tokens,j&&(j=he.post_process(j).tokens);else{const Ce=he.post_process(F,j,te);F=Ce.tokens,de=Ce.token_type_ids}return{tokens:F,token_type_ids:de}}}class z extends s.Callable{constructor(F){super(),this.config=F,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=F.trim_offsets}static fromConfig(F){if(F===null)return null;switch(F.type){case"WordPiece":return new Re(F);case"Metaspace":return new nr(F);case"ByteLevel":return new Fe(F);case"Replace":return new ee(F);case"ByteFallback":return new ce(F);case"Fuse":return new be(F);case"Strip":return new ve(F);case"Sequence":return new Qe(F);case"CTC":return new je(F);case"BPEDecoder":return new Xe(F);default:throw new Error(`Unknown Decoder type: ${F.type}`)}}_call(F){return this.decode(F)}decode(F){return this.decode_chain(F).join("")}decode_chain(F){throw Error("`decode_chain` should be implemented in subclass.")}}class ee extends z{decode_chain(F){const j=w(this.config.pattern);return j===null?F:F.map(te=>te.replaceAll(j,this.config.content))}}class ce extends z{constructor(F){super(F),this.text_decoder=new TextDecoder}decode_chain(F){const j=[];let te=[];for(const de of F){let he=null;if(de.length===6&&de.startsWith("<0x")&&de.endsWith(">")){const Ce=parseInt(de.slice(3,5),16);isNaN(Ce)||(he=Ce)}if(he!==null)te.push(he);else{if(te.length>0){const Ce=this.text_decoder.decode(Uint8Array.from(te));j.push(Ce),te=[]}j.push(de)}}if(te.length>0){const de=this.text_decoder.decode(Uint8Array.from(te));j.push(de),te=[]}return j}}class be extends z{decode_chain(F){return[F.join("")]}}class ve extends z{constructor(F){super(F),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(F){return F.map(j=>{let te=0;for(let he=0;he(te!==0&&(j.startsWith(this.config.prefix)?j=j.replace(this.config.prefix,""):j=" "+j),this.cleanup&&(j=A(j)),j))}}class Fe extends z{constructor(F){super(F),this.byte_decoder=H,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(F){const j=F.join(""),te=new Uint8Array([...j].map(he=>this.byte_decoder[he]));return this.text_decoder.decode(te)}decode_chain(F){const j=[];let te=[];for(const de of F)this.added_tokens.find(he=>he.content===de)!==void 0?(te.length>0&&(j.push(this.convert_tokens_to_string(te)),te=[]),j.push(de)):te.push(de);return te.length>0&&j.push(this.convert_tokens_to_string(te)),j}}class je extends z{constructor(F){super(F),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(F){if(F.length===0)return"";const j=[F[0]];for(let he=1;hehe!==this.pad_token).join("");return this.cleanup&&(de=A(de).replaceAll(this.word_delimiter_token," ").trim()),de}decode_chain(F){return[this.convert_tokens_to_string(F)]}}class Qe extends z{constructor(F){super(F),this.decoders=F.decoders.map(j=>z.fromConfig(j))}decode_chain(F){return this.decoders.reduce((j,te)=>te.decode_chain(j),F)}}class Xe extends z{constructor(F){super(F),this.suffix=this.config.suffix}decode_chain(F){return F.map((j,te)=>j.replaceAll(this.suffix,te===F.length-1?"":" "))}}class ut extends z{decode_chain(F){let j="";for(let te=1;tete.normalize("NFKC")).join("～"):F=F.normalize("NFKC"),F}}class dr extends K{constructor(F){super(),this.tokenizers=F.pretokenizers.map(j=>K.fromConfig(j))}pre_tokenize_text(F,j){return this.tokenizers.reduce((te,de)=>de.pre_tokenize(te,j),[F])}}class ds extends K{constructor(F){super()}pre_tokenize_text(F,j){return F.match(/\w+|[^\w\s]+/g)||[]}}class Fs extends K{constructor(F){super()}pre_tokenize_text(F,j){return g(F)}}class Dr extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern),this.content=this.config.content}pre_tokenize_text(F,j){return this.pattern===null?[F]:[F.replaceAll(this.pattern,this.config.content)]}}const cs=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function Os(ue,F,j,te){for(const de of Object.keys(ue)){const he=F-ue[de].length,Ce=j(de),We=new Array(he).fill(Ce);ue[de]=te==="right"?(0,i.mergeArrays)(ue[de],We):(0,i.mergeArrays)(We,ue[de])}}function jr(ue,F){for(const j of Object.keys(ue))ue[j].length=F}class dt extends s.Callable{constructor(j,te){super();re(this,"return_token_type_ids",!1);re(this,"padding_side","right");this._tokenizer_config=te,this.normalizer=le.fromConfig(j.normalizer),this.pre_tokenizer=K.fromConfig(j.pre_tokenizer),this.model=J.fromConfig(j.model,te),this.post_processor=Ie.fromConfig(j.post_processor),this.decoder=z.fromConfig(j.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const de of j.added_tokens){const he=new N(de);this.added_tokens.push(he),this.model.tokens_to_ids.set(he.content,he.id),this.model.vocab[he.id]=he.content,he.special&&(this.special_tokens.push(he.content),this.all_special_ids.push(he.id))}if(this.additional_special_tokens=te.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.slice().sort((de,he)=>he.content.length-de.content.length).map(de=>`${de.lstrip?"\\s*":""}(${(0,i.escapeRegExp)(de.content)})${de.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=te.model_max_length,this.remove_space=te.remove_space,this.clean_up_tokenization_spaces=te.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=te.do_lowercase_and_remove_accent??!1,te.padding_side&&(this.padding_side=te.padding_side),this.legacy=!1,this.chat_template=te.chat_template??null,Array.isArray(this.chat_template)){const de=Object.create(null);for(const{name:he,template:Ce}of this.chat_template){if(typeof he!="string"||typeof Ce!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');de[he]=Ce}this.chat_template=de}this._compiled_template_cache=new Map}getToken(...j){for(const te of j){const de=this._tokenizer_config[te];if(de)if(typeof de=="object"){if(de.__type==="AddedToken")return de.content;throw Error(`Unknown token: ${de}`)}else return de}return null}static async from_pretrained(j,{progress_callback:te=null,config:de=null,cache_dir:he=null,local_files_only:Ce=!1,revision:We="main",legacy:qe=null}={}){const Ke=await u(j,{progress_callback:te,config:de,cache_dir:he,local_files_only:Ce,revision:We,legacy:qe});return new this(...Ke)}_call(j,{text_pair:te=null,add_special_tokens:de=!0,padding:he=!1,truncation:Ce=null,max_length:We=null,return_tensor:qe=!0,return_token_type_ids:Ke=null}={}){const Ze=Array.isArray(j);let ht;if(Ze){if(j.length===0)throw Error("text array must be non-empty");if(te!==null){if(Array.isArray(te)){if(j.length!==te.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");ht=j.map((kt,Wt)=>this._encode_plus(kt,{text_pair:te[Wt],add_special_tokens:de,return_token_type_ids:Ke}))}else ht=j.map(kt=>this._encode_plus(kt,{add_special_tokens:de,return_token_type_ids:Ke}))}else{if(j==null)throw Error("text may not be null or undefined");if(Array.isArray(te))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");ht=[this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:Ke})]}if(We===null?he==="max_length"?We=this.model_max_length:We=(0,o.max)(ht.map(kt=>kt.input_ids.length))[0]:Ce||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),We=Math.min(We,this.model_max_length??1/0),he||Ce)for(let kt=0;ktWe?Ce&&jr(ht[kt],We):he&&Os(ht[kt],We,Wt=>Wt==="input_ids"?this.pad_token_id:0,this.padding_side));const Ct={};if(qe){if(!(he&&Ce)&&ht.some(Wt=>{var Ot;for(const Ut of Object.keys(Wt))if(Wt[Ut].length!==((Ot=ht[0][Ut])==null?void 0:Ot.length))return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const kt=[ht.length,ht[0].input_ids.length];for(const Wt of Object.keys(ht[0]))Ct[Wt]=new a.Tensor("int64",BigInt64Array.from(ht.flatMap(Ot=>Ot[Wt]).map(BigInt)),kt)}else{for(const kt of Object.keys(ht[0]))Ct[kt]=ht.map(Wt=>Wt[kt]);if(!Ze)for(const kt of Object.keys(Ct))Ct[kt]=Ct[kt][0]}return Ct}_encode_text(j){return j===null?null:(this.added_tokens_regex?j.split(this.added_tokens_regex).filter(he=>he):[j]).map((he,Ce)=>{if(this.added_tokens.find(qe=>qe.content===he)!==void 0)return he;{if(this.remove_space===!0&&(he=he.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(he=y(he)),this.normalizer!==null&&(he=this.normalizer(he)),he.length===0)return[];const qe=this.pre_tokenizer!==null?this.pre_tokenizer(he,{section_index:Ce}):[he];return this.model(qe)}}).flat()}_encode_plus(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){const{tokens:Ce,token_type_ids:We}=this._tokenize_helper(j,{pair:te,add_special_tokens:de}),qe=this.model.convert_tokens_to_ids(Ce),Ke={input_ids:qe,attention_mask:new Array(qe.length).fill(1)};return(he??this.return_token_type_ids)&&We&&(Ke.token_type_ids=We),Ke}_tokenize_helper(j,{pair:te=null,add_special_tokens:de=!1}={}){const he=this._encode_text(j),Ce=this._encode_text(te);return this.post_processor?this.post_processor(he,Ce,{add_special_tokens:de}):{tokens:(0,i.mergeArrays)(he??[],Ce??[])}}tokenize(j,{pair:te=null,add_special_tokens:de=!1}={}){return this._tokenize_helper(j,{pair:te,add_special_tokens:de}).tokens}encode(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){return this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:he}).input_ids}batch_decode(j,te={}){return j instanceof a.Tensor&&(j=j.tolist()),j.map(de=>this.decode(de,te))}decode(j,te={}){if(j instanceof a.Tensor&&(j=P(j)),!Array.isArray(j)||j.length===0||!(0,i.isIntegralNumber)(j[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(j,te)}decode_single(j,{skip_special_tokens:te=!1,clean_up_tokenization_spaces:de=null}){let he=this.model.convert_ids_to_tokens(j);te&&(he=he.filter(We=>!this.special_tokens.includes(We)));let Ce=this.decoder?this.decoder(he):he.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Ce=Ce.replaceAll(this.decoder.end_of_word_suffix," "),te&&(Ce=Ce.trim())),(de??this.clean_up_tokenization_spaces)&&(Ce=A(Ce)),Ce}get_chat_template({chat_template:j=null,tools:te=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const de=this.chat_template;if(j!==null&&Object.hasOwn(de,j))j=de[j];else if(j===null)if(te!==null&&"tool_use"in de)j=de.tool_use;else if("default"in de)j=de.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(de).sort()}.`)}else if(j===null)if(this.chat_template)j=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating");return j}apply_chat_template(j,{tools:te=null,documents:de=null,chat_template:he=null,add_generation_prompt:Ce=!1,tokenize:We=!0,padding:qe=!1,truncation:Ke=!1,max_length:Ze=null,return_tensor:ht=!0,return_dict:Ct=!1,tokenizer_kwargs:kt={},...Wt}={}){if(he=this.get_chat_template({chat_template:he,tools:te}),typeof he!="string")throw Error(`chat_template must be a string, but got ${typeof he}`);let Ot=this._compiled_template_cache.get(he);Ot===void 0&&(Ot=new d.Template(he),this._compiled_template_cache.set(he,Ot));const Ut=Object.create(null);for(const fr of cs){const Yr=this.getToken(fr);Yr&&(Ut[fr]=Yr)}const vr=Ot.render({messages:j,add_generation_prompt:Ce,tools:te,documents:de,...Ut,...Wt});if(We){const fr=this._call(vr,{add_special_tokens:!1,padding:qe,truncation:Ke,max_length:Ze,return_tensor:ht,...kt});return Ct?fr:fr.input_ids}return vr}}class qr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ur extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class us extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class xs extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ts extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Es extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ds extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class mr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Be extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class et extends dt{}class it extends dt{}class rr extends dt{constructor(j,te){super(j,te);re(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class zt extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ir extends dt{}class ps extends dt{}class hs extends dt{}class Er extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class ms extends Er{}class _s extends dt{}class Qr extends dt{}const Ps="▁";class qs extends dt{constructor(j,te){super(j,te);re(this,"padding_side","left");this.legacy=te.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new wt({replacement:Ps,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(j){if(j===null)return null;if(this.legacy||j.length===0)return super._encode_text(j);let te=super._encode_text(Ps+j.replaceAll(Ps," "));return te.length>1&&te[0]===Ps&&this.special_tokens.includes(te[1])&&(te=te.slice(1)),te}}class Qs extends dt{}class Xs extends dt{}class Js extends dt{}class fs extends dt{}class Ys extends dt{}class Zs extends dt{}class en extends dt{}class Lr extends dt{}class Cs extends dt{}function br(ue,F,j,te){if(!("language_codes"in ue)||!Array.isArray(ue.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in ue)||!(ue.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in ue)||typeof ue.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const de=te.src_lang,he=te.tgt_lang;if(!ue.language_codes.includes(he))throw new Error(`Target language code "${he}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);if(de!==void 0){if(!ue.language_codes.includes(de))throw new Error(`Source language code "${de}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);for(const Ce of ue.post_processor.config.single)if("SpecialToken"in Ce&&ue.languageRegex.test(Ce.SpecialToken.id)){Ce.SpecialToken.id=ue.lang_to_token(de);break}}return te.forced_bos_token_id=ue.model.convert_tokens_to_ids([ue.lang_to_token(he)])[0],ue._call(F,j)}class Ls extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class zs extends dt{constructor(F,j){super(F,j),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)).map(te=>te.slice(2,-2)),this.lang_to_token=te=>`__${te}__`}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class Ar extends dt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(F,{return_timestamps:j=!1,return_language:te=!1,time_precision:de=null,force_full_sequences:he=!0}={}){if(de===null)throw Error("Must specify time_precision");let Ce=null;const We=j==="word";function qe(){return{language:Ce,timestamp:[null,null],text:""}}const Ke=[];let Ze=qe(),ht=0;const Ct=this.timestamp_begin,Wt=Ct+1500;let Ot=[],Ut=[],vr=!1,fr=null;const Yr=new Set(this.all_special_ids);for(const Gt of F){const Zt=Gt.tokens,gr=We?Gt.token_timestamps:null;let Zr=null,ws=Ct;if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;if(ht-=Jt,fr=Rt-qt,Jt&&(ws=Jt/de+Ct),qt)for(let er=Zt.length-1;er>=0;--er){const ir=Number(Zt[er]);if(ir>=Ct){if(Zr!==null&&(ir-Ct)*de=Ct&&Jt<=Wt){const qt=(Jt-Ct)*de+ht,er=(0,o.round)(qt,2);if(Zr!==null&&Jt>=Zr)vr=!0;else if(vr||Ot.length>0&&Jt0?(Ot.push(Ht),We&&Ut.push(ur)):Ot.every(Rt=>Rt.length===0)&&(Ze=qe(),Ot=[],Ht=[],Ut=[],ur=[])}if(Ot.length>0){if(he&&j)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[Gt,Zt]=this.findLongestCommonSequence(Ot,Ut),gr=this.decode(Gt);Ze.text=gr,We&&(Ze.words=this.collateWordTimestamps(Gt,Zt,Ce)),Ke.push(Ze)}let xr=Object.create(null);const gs=Ke.map(Gt=>Gt.text).join("");if(j||te){for(let Gt=0;Gt0;let We=Ce?[]:null,qe=Ce?j[0]:null;for(let Ke=1;KeJt===ws[qt]&&qe[gs+qt]<=j[Ke][gr+qt]).length:Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]).length;const ur=xr/1e4,Rt=Ht/xr+ur;Ht>1&&Rt>ht&&(ht=Rt,Ct=[gs,Gt,gr,Zr])}const[Wt,Ot,Ut,vr]=Ct,fr=Math.floor((Ot+Wt)/2),Yr=Math.floor((vr+Ut)/2);he.push(...te.slice(0,fr)),te=Ze.slice(Yr),de=te.length,Ce&&(We.push(...qe.slice(0,fr)),qe=j[Ke].slice(Yr))}return he.push(...te),Ce?(We.push(...qe),[he,We]):[he,[]]}collateWordTimestamps(F,j,te){const[de,he,Ce]=this.combineTokensIntoWords(F,te),We=[];for(let qe=0;qe=de){const We=((Ce-de)*te).toFixed(2);he.push(`<|${We}|>`),he.push([])}else he[he.length-1].push(Ce);return he=he.map(Ce=>typeof Ce=="string"?Ce:super.decode(Ce,j)),he.join("")}splitTokensOnUnicode(F){const j=this.decode(F,{decode_with_timestamps:!0}),te="�",de=[],he=[],Ce=[];let We=[],qe=[],Ke=0;for(let Ze=0;Ze=this.model.tokens_to_ids.get("<|endoftext|>"),Wt=Ze.startsWith(" "),Ot=Ze.trim(),Ut=qe.test(Ot);if(kt||Wt||Ut||he.length===0)he.push(Ze),Ce.push(ht),We.push(Ct);else{const vr=he.length-1;he[vr]+=Ze,Ce[vr].push(...ht),We[vr].push(...Ct)}}return[he,Ce,We]}mergePunctuations(F,j,te,de,he){const Ce=structuredClone(F),We=structuredClone(j),qe=structuredClone(te);let Ke=Ce.length-2,Ze=Ce.length-1;for(;Ke>=0;)Ce[Ke].startsWith(" ")&&de.includes(Ce[Ke].trim())?(Ce[Ze]=Ce[Ke]+Ce[Ze],We[Ze]=(0,i.mergeArrays)(We[Ke],We[Ze]),qe[Ze]=(0,i.mergeArrays)(qe[Ke],qe[Ze]),Ce[Ke]="",We[Ke]=[],qe[Ke]=[]):Ze=Ke,--Ke;for(Ke=0,Ze=1;Zeht),We.filter(ht=>ht.length>0),qe.filter(ht=>ht.length>0)]}}class Xr extends dt{}class Tn extends dt{}class zr extends dt{}class En extends dt{constructor(F,j){super(F,j),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(te=>this.languageRegex.test(te)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(F){if(F===null)return null;const[j,...te]=F.trim().split(this.languageRegex);if(te.length===0)return super._encode_text(j);if(te.length===2){const[de,he]=te;return this.supported_language_codes.includes(de)||console.warn(`Unsupported language code "${de}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,i.mergeArrays)([de],super._encode_text(he))}}}class Bs extends dt{}class Fr extends dt{}class Jr extends dt{}class cr extends dt{}class _r extends dt{}class Rs extends dt{constructor(F,j){super(F,j),this.decoder=new ut({})}}class Pn extends dt{}class Ss extends dt{}class Cn{static async from_pretrained(F,{progress_callback:j=null,config:te=null,cache_dir:de=null,local_files_only:he=!1,revision:Ce="main",legacy:We=null}={}){var Ct;const[qe,Ke]=await u(F,{progress_callback:j,config:te,cache_dir:de,local_files_only:he,revision:Ce,legacy:We}),Ze=((Ct=Ke.tokenizer_class)==null?void 0:Ct.replace(/Fast$/,""))??"PreTrainedTokenizer";let ht=this.TOKENIZER_CLASS_MAPPING[Ze];return ht||(console.warn(`Unknown tokenizer class "${Ze}", attempting to construct from base class.`),ht=dt),new ht(qe,Ke)}}re(Cn,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer:Ir,DistilBertTokenizer:et,CamembertTokenizer:it,DebertaTokenizer:Ts,DebertaV2Tokenizer:Es,BertTokenizer:qr,HerbertTokenizer:Ds,ConvBertTokenizer:mr,RoFormerTokenizer:Be,XLMTokenizer:rr,ElectraTokenizer:zt,MobileBertTokenizer:us,SqueezeBertTokenizer:xs,AlbertTokenizer:Ur,GPT2Tokenizer:ps,BartTokenizer:hs,MBartTokenizer:Er,MBart50Tokenizer:ms,RobertaTokenizer:_s,WhisperTokenizer:Ar,CodeGenTokenizer:Xr,CLIPTokenizer:Tn,SiglipTokenizer:zr,MarianTokenizer:En,BloomTokenizer:Qr,NllbTokenizer:Ls,M2M100Tokenizer:zs,LlamaTokenizer:qs,CodeLlamaTokenizer:Qs,XLMRobertaTokenizer:Xs,MPNetTokenizer:Js,FalconTokenizer:fs,GPTNeoXTokenizer:Ys,EsmTokenizer:Zs,Wav2Vec2CTCTokenizer:Bs,BlenderbotTokenizer:Fr,BlenderbotSmallTokenizer:Jr,SpeechT5Tokenizer:cr,NougatTokenizer:_r,VitsTokenizer:Rs,Qwen2Tokenizer:en,GemmaTokenizer:Lr,Grok1Tokenizer:Cs,CohereTokenizer:Pn,MgpstrTokenizer:Ss,PreTrainedTokenizer:dt})},"./src/utils/audio.js":(e,r,t)=>{t.r(r),t.d(r,{RawAudio:()=>q,hamming:()=>h,hanning:()=>u,mel_filter_bank:()=>$,read_audio:()=>d,spectrogram:()=>k,window_function:()=>B});var s=t("./src/utils/hub.js"),i=t("./src/utils/maths.js"),n=t("./src/utils/core.js"),o=t("./src/env.js"),a=t("?7a2c"),l=t("./src/utils/tensor.js");async function d(V,Y){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const H=await(await(0,s.getFile)(V)).arrayBuffer(),Q=new AudioContext({sampleRate:Y});typeof Y>"u"&&console.warn(`No sampling rate provided, using default of ${Q.sampleRate}Hz.`);const ie=await Q.decodeAudioData(H);let le;if(ie.numberOfChannels===2){const ae=Math.sqrt(2),we=ie.getChannelData(0),R=ie.getChannelData(1);le=new Float32Array(we.length);for(let O=0;O2595*Math.log10(1+V/700),kaldi:V=>1127*Math.log(1+V/700),slaney:(V,Y=1e3,H=15,Q=27/Math.log(6.4))=>V>=Y?H+Math.log(V/Y)*Q:3*V/200};function f(V,Y="htk"){const H=w[Y];if(!H)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof V=="number"?H(V):V.map(Q=>H(Q))}const P={htk:V=>700*(10**(V/2595)-1),kaldi:V=>700*(Math.exp(V/1127)-1),slaney:(V,Y=1e3,H=15,Q=Math.log(6.4)/27)=>V>=H?Y*Math.exp(Q*(V-H)):200*V/3};function A(V,Y="htk"){const H=P[Y];if(!H)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof V=="number"?H(V):V.map(Q=>H(Q))}function b(V,Y){const H=Float64Array.from({length:Y.length-1},(ae,we)=>Y[we+1]-Y[we]),Q=Array.from({length:V.length},()=>new Array(Y.length));for(let ae=0;aenew Array(V.length));for(let ae=0;aeV+Q*le)}function $(V,Y,H,Q,ie,le=null,ae="htk",we=!1){if(le!==null&&le!=="slaney")throw new Error('norm must be one of null or "slaney"');const R=f(H,ae),O=f(Q,ae),G=y(R,O,Y+2);let ne=A(G,ae),X;if(we){const _e=ie/(V*2);X=f(Float64Array.from({length:V},(ke,He)=>He*_e),ae),ne=G}else X=y(0,Math.floor(ie/2),V);const ye=b(X,ne);if(le!==null&&le==="slaney")for(let _e=0;_eie)throw Error(`frame_length (${H}) may not be larger than fft_length (${ie})`);if(Pe!==H)throw new Error(`Length of the window (${Pe}) must equal frame_length (${H})`);if(Q<=0)throw new Error("hop_length must be greater than zero");if(le===null&&G!==null)throw new Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. 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Hv=f.AutoProcessor,qv=f.AutoTokenizer;f.AutomaticSpeechRecognitionPipeline,f.BackgroundRemovalPipeline,f.BartForConditionalGeneration,f.BartForSequenceClassification,f.BartModel,f.BartPretrainedModel,f.BartTokenizer,f.BaseModelOutput,f.BaseStreamer,f.BeitFeatureExtractor,f.BeitForImageClassification,f.BeitModel,f.BeitPreTrainedModel,f.BertForMaskedLM,f.BertForQuestionAnswering,f.BertForSequenceClassification,f.BertForTokenClassification,f.BertModel,f.BertPreTrainedModel,f.BertTokenizer,f.BitImageProcessor,f.BlenderbotForConditionalGeneration,f.BlenderbotModel,f.BlenderbotPreTrainedModel,f.BlenderbotSmallForConditionalGeneration,f.BlenderbotSmallModel,f.BlenderbotSmallPreTrainedModel,f.BlenderbotSmallTokenizer,f.BlenderbotTokenizer,f.BloomForCausalLM,f.BloomModel,f.BloomPreTrainedModel,f.BloomTokenizer,f.CLIPFeatureExtractor,f.CLIPImageProcessor,f.CLIPModel,f.CLIPPreTrainedModel,f.CLIPSegForImageSegmentation,f.CLIPSegModel,f.CLIPSegPreTrainedModel,f.CLIPTextModel,f.CLIPTextModelWithProjection,f.CLIPTokenizer,f.CLIPVisionModel,f.CLIPVisionModelWithProjection,f.CamembertForMaskedLM,f.CamembertForQuestionAnswering,f.CamembertForSequenceClassification,f.CamembertForTokenClassification,f.CamembertModel,f.CamembertPreTrainedModel,f.CamembertTokenizer,f.CausalLMOutput,f.CausalLMOutputWithPast,f.ChineseCLIPFeatureExtractor,f.ChineseCLIPModel,f.ChineseCLIPPreTrainedModel,f.ClapAudioModelWithProjection,f.ClapFeatureExtractor,f.ClapModel,f.ClapPreTrainedModel,f.ClapTextModelWithProjection,f.ClassifierFreeGuidanceLogitsProcessor,f.CodeGenForCausalLM,f.CodeGenModel,f.CodeGenPreTrainedModel,f.CodeGenTokenizer,f.CodeLlamaTokenizer,f.CohereForCausalLM,f.CohereModel,f.CoherePreTrainedModel,f.CohereTokenizer,f.ConvBertForMaskedLM,f.ConvBertForQuestionAnswering,f.ConvBertForSequenceClassification,f.ConvBertForTokenClassification,f.ConvBertModel,f.ConvBertPreTrainedModel,f.ConvBertTokenizer,f.ConvNextFeatureExtractor,f.ConvNextForImageClassification,f.ConvNextImageProcessor,f.ConvNextModel,f.ConvNextPreTrainedModel,f.ConvNextV2ForImageClassification,f.ConvNextV2Model,f.ConvNextV2PreTrainedModel,f.DPTFeatureExtractor,f.DPTForDepthEstimation,f.DPTImageProcessor,f.DPTModel,f.DPTPreTrainedModel,f.DacDecoderModel,f.DacDecoderOutput,f.DacEncoderModel,f.DacEncoderOutput,f.DacFeatureExtractor,f.DacModel,f.DacPreTrainedModel,f.DataTypeMap,f.DebertaForMaskedLM,f.DebertaForQuestionAnswering,f.DebertaForSequenceClassification,f.DebertaForTokenClassification,f.DebertaModel,f.DebertaPreTrainedModel,f.DebertaTokenizer,f.DebertaV2ForMaskedLM,f.DebertaV2ForQuestionAnswering,f.DebertaV2ForSequenceClassification,f.DebertaV2ForTokenClassification,f.DebertaV2Model,f.DebertaV2PreTrainedModel,f.DebertaV2Tokenizer,f.DecisionTransformerModel,f.DecisionTransformerPreTrainedModel,f.DeiTFeatureExtractor,f.DeiTForImageClassification,f.DeiTImageProcessor,f.DeiTModel,f.DeiTPreTrainedModel,f.DepthAnythingForDepthEstimation,f.DepthAnythingPreTrainedModel,f.DepthEstimationPipeline,f.DepthProForDepthEstimation,f.DepthProPreTrainedModel,f.DetrFeatureExtractor,f.DetrForObjectDetection,f.DetrForSegmentation,f.DetrImageProcessor,f.DetrModel,f.DetrObjectDetectionOutput,f.DetrPreTrainedModel,f.DetrSegmentationOutput,f.Dinov2ForImageClassification,f.Dinov2Model,f.Dinov2PreTrainedModel,f.Dinov2WithRegistersForImageClassification,f.Dinov2WithRegistersModel,f.Dinov2WithRegistersPreTrainedModel,f.DistilBertForMaskedLM,f.DistilBertForQuestionAnswering,f.DistilBertForSequenceClassification,f.DistilBertForTokenClassification,f.DistilBertModel,f.DistilBertPreTrainedModel,f.DistilBertTokenizer,f.DocumentQuestionAnsweringPipeline,f.DonutFeatureExtractor,f.DonutImageProcessor,f.DonutSwinModel,f.DonutSwinPreTrainedModel,f.EfficientNetForImageClassification,f.EfficientNetImageProcessor,f.EfficientNetModel,f.EfficientNetPreTrainedModel,f.ElectraForMaskedLM,f.ElectraForQuestionAnswering,f.ElectraForSequenceClassification,f.ElectraForTokenClassification,f.ElectraModel,f.ElectraPreTrainedModel,f.ElectraTokenizer,f.EncodecFeatureExtractor,f.EosTokenCriteria,f.EsmForMaskedLM,f.EsmForSequenceClassification,f.EsmForTokenClassification,f.EsmModel,f.EsmPreTrainedModel,f.EsmTokenizer,f.ExaoneForCausalLM,f.ExaoneModel,f.ExaonePreTrainedModel,f.FFT,f.FalconForCausalLM,f.FalconModel,f.FalconPreTrainedModel,f.FalconTokenizer,f.FastViTForImageClassification,f.FastViTModel,f.FastViTPreTrainedModel,f.FeatureExtractionPipeline,f.FeatureExtractor,f.FillMaskPipeline,f.Florence2ForConditionalGeneration,f.Florence2PreTrainedModel,f.Florence2Processor,f.ForcedBOSTokenLogitsProcessor,f.ForcedEOSTokenLogitsProcessor,f.GLPNFeatureExtractor,f.GLPNForDepthEstimation,f.GLPNModel,f.GLPNPreTrainedModel,f.GPT2LMHeadModel,f.GPT2Model,f.GPT2PreTrainedModel,f.GPT2Tokenizer,f.GPTBigCodeForCausalLM,f.GPTBigCodeModel,f.GPTBigCodePreTrainedModel,f.GPTJForCausalLM,f.GPTJModel,f.GPTJPreTrainedModel,f.GPTNeoForCausalLM,f.GPTNeoModel,f.GPTNeoPreTrainedModel,f.GPTNeoXForCausalLM,f.GPTNeoXModel,f.GPTNeoXPreTrainedModel,f.GPTNeoXTokenizer,f.Gemma2ForCausalLM,f.Gemma2Model,f.Gemma2PreTrainedModel,f.GemmaForCausalLM,f.GemmaModel,f.GemmaPreTrainedModel,f.GemmaTokenizer,f.GlmForCausalLM,f.GlmModel,f.GlmPreTrainedModel,f.GraniteForCausalLM,f.GraniteModel,f.GranitePreTrainedModel,f.Grok1Tokenizer,f.GroundingDinoForObjectDetection,f.GroundingDinoImageProcessor,f.GroundingDinoPreTrainedModel,f.GroundingDinoProcessor,f.GroupViTModel,f.GroupViTPreTrainedModel,f.HeliumForCausalLM,f.HeliumModel,f.HeliumPreTrainedModel,f.HerbertTokenizer,f.HieraForImageClassification,f.HieraModel,f.HieraPreTrainedModel,f.HubertForCTC,f.HubertForSequenceClassification,f.HubertModel,f.HubertPreTrainedModel,f.IJepaForImageClassification,f.IJepaModel,f.IJepaPreTrainedModel,f.Idefics3ForConditionalGeneration,f.Idefics3ImageProcessor,f.Idefics3PreTrainedModel,f.Idefics3Processor,f.ImageClassificationPipeline,f.ImageFeatureExtractionPipeline,f.ImageFeatureExtractor,f.ImageMattingOutput,f.ImageProcessor,f.ImageSegmentationPipeline,f.ImageToImagePipeline,f.ImageToTextPipeline,f.InterruptableStoppingCriteria,f.JAISLMHeadModel,f.JAISModel,f.JAISPreTrainedModel,f.JinaCLIPImageProcessor,f.JinaCLIPModel,f.JinaCLIPPreTrainedModel,f.JinaCLIPProcessor,f.JinaCLIPTextModel,f.JinaCLIPVisionModel,f.LiteWhisperForConditionalGeneration,f.LlamaForCausalLM,f.LlamaModel,f.LlamaPreTrainedModel,f.LlamaTokenizer,f.LlavaForConditionalGeneration,f.LlavaOnevisionForConditionalGeneration,f.LlavaOnevisionImageProcessor,f.LlavaPreTrainedModel,f.LogitsProcessor,f.LogitsProcessorList,f.LogitsWarper,f.LongT5ForConditionalGeneration,f.LongT5Model,f.LongT5PreTrainedModel,f.M2M100ForConditionalGeneration,f.M2M100Model,f.M2M100PreTrainedModel,f.M2M100Tokenizer,f.MBart50Tokenizer,f.MBartForCausalLM,f.MBartForConditionalGeneration,f.MBartForSequenceClassification,f.MBartModel,f.MBartPreTrainedModel,f.MBartTokenizer,f.MPNetForMaskedLM,f.MPNetForQuestionAnswering,f.MPNetForSequenceClassification,f.MPNetForTokenClassification,f.MPNetModel,f.MPNetPreTrainedModel,f.MPNetTokenizer,f.MT5ForConditionalGeneration,f.MT5Model,f.MT5PreTrainedModel,f.MarianMTModel,f.MarianModel,f.MarianPreTrainedModel,f.MarianTokenizer,f.Mask2FormerImageProcessor,f.MaskFormerFeatureExtractor,f.MaskFormerForInstanceSegmentation,f.MaskFormerImageProcessor,f.MaskFormerModel,f.MaskFormerPreTrainedModel,f.MaskedLMOutput,f.MaxLengthCriteria,f.MgpstrForSceneTextRecognition,f.MgpstrModelOutput,f.MgpstrPreTrainedModel,f.MgpstrProcessor,f.MgpstrTokenizer,f.MimiDecoderModel,f.MimiDecoderOutput,f.MimiEncoderModel,f.MimiEncoderOutput,f.MimiModel,f.MimiPreTrainedModel,f.MinLengthLogitsProcessor,f.MinNewTokensLengthLogitsProcessor,f.MistralForCausalLM,f.MistralModel,f.MistralPreTrainedModel,f.MobileBertForMaskedLM,f.MobileBertForQuestionAnswering,f.MobileBertForSequenceClassification,f.MobileBertModel,f.MobileBertPreTrainedModel,f.MobileBertTokenizer,f.MobileLLMForCausalLM,f.MobileLLMModel,f.MobileLLMPreTrainedModel,f.MobileNetV1FeatureExtractor,f.MobileNetV1ForImageClassification,f.MobileNetV1ForSemanticSegmentation,f.MobileNetV1ImageProcessor,f.MobileNetV1Model,f.MobileNetV1PreTrainedModel,f.MobileNetV2FeatureExtractor,f.MobileNetV2ForImageClassification,f.MobileNetV2ForSemanticSegmentation,f.MobileNetV2ImageProcessor,f.MobileNetV2Model,f.MobileNetV2PreTrainedModel,f.MobileNetV3FeatureExtractor,f.MobileNetV3ForImageClassification,f.MobileNetV3ForSemanticSegmentation,f.MobileNetV3ImageProcessor,f.MobileNetV3Model,f.MobileNetV3PreTrainedModel,f.MobileNetV4FeatureExtractor,f.MobileNetV4ForImageClassification,f.MobileNetV4ForSemanticSegmentation,f.MobileNetV4ImageProcessor,f.MobileNetV4Model,f.MobileNetV4PreTrainedModel,f.MobileViTFeatureExtractor,f.MobileViTForImageClassification,f.MobileViTImageProcessor,f.MobileViTModel,f.MobileViTPreTrainedModel,f.MobileViTV2ForImageClassification,f.MobileViTV2Model,f.MobileViTV2PreTrainedModel,f.ModelOutput,f.ModernBertForMaskedLM,f.ModernBertForSequenceClassification,f.ModernBertForTokenClassification,f.ModernBertModel,f.ModernBertPreTrainedModel,f.Moondream1ForConditionalGeneration,f.MoonshineFeatureExtractor,f.MoonshineForConditionalGeneration,f.MoonshineModel,f.MoonshinePreTrainedModel,f.MoonshineProcessor,f.MptForCausalLM,f.MptModel,f.MptPreTrainedModel,f.MultiModalityCausalLM,f.MultiModalityPreTrainedModel,f.MusicgenForCausalLM,f.MusicgenForConditionalGeneration,f.MusicgenModel,f.MusicgenPreTrainedModel,f.NllbTokenizer,f.NoBadWordsLogitsProcessor,f.NoRepeatNGramLogitsProcessor,f.NomicBertModel,f.NomicBertPreTrainedModel,f.NougatImageProcessor,f.NougatTokenizer,f.OPTForCausalLM,f.OPTModel,f.OPTPreTrainedModel,f.ObjectDetectionPipeline,f.Olmo2ForCausalLM,f.Olmo2Model,f.Olmo2PreTrainedModel,f.OlmoForCausalLM,f.OlmoModel,f.OlmoPreTrainedModel,f.OpenELMForCausalLM,f.OpenELMModel,f.OpenELMPreTrainedModel,f.OwlViTFeatureExtractor,f.OwlViTForObjectDetection,f.OwlViTImageProcessor,f.OwlViTModel,f.OwlViTPreTrainedModel,f.OwlViTProcessor,f.Owlv2ForObjectDetection,f.Owlv2ImageProcessor,f.Owlv2Model,f.Owlv2PreTrainedModel,f.PaliGemmaForConditionalGeneration,f.PaliGemmaPreTrainedModel,f.PaliGemmaProcessor,f.PatchTSMixerForPrediction,f.PatchTSMixerModel,f.PatchTSMixerPreTrainedModel,f.PatchTSTForPrediction,f.PatchTSTModel,f.PatchTSTPreTrainedModel,f.Phi3ForCausalLM,f.Phi3Model,f.Phi3PreTrainedModel,f.Phi3VForCausalLM,f.Phi3VImageProcessor,f.Phi3VPreTrainedModel,f.Phi3VProcessor,f.PhiForCausalLM,f.PhiModel,f.PhiPreTrainedModel,f.Pipeline,f.PreTrainedModel,f.PreTrainedTokenizer,f.PretrainedConfig,f.PretrainedMixin,f.Processor,f.PvtForImageClassification,f.PvtImageProcessor,f.PvtModel,f.PvtPreTrainedModel,f.PyAnnoteFeatureExtractor,f.PyAnnoteForAudioFrameClassification,f.PyAnnoteModel,f.PyAnnotePreTrainedModel,f.PyAnnoteProcessor,f.QuestionAnsweringModelOutput,f.QuestionAnsweringPipeline,f.Qwen2ForCausalLM,f.Qwen2Model,f.Qwen2PreTrainedModel,f.Qwen2Tokenizer,f.Qwen2VLForConditionalGeneration,f.Qwen2VLImageProcessor,f.Qwen2VLPreTrainedModel,f.Qwen2VLProcessor,f.RTDetrForObjectDetection,f.RTDetrImageProcessor,f.RTDetrModel,f.RTDetrObjectDetectionOutput,f.RTDetrPreTrainedModel,f.RawAudio,f.RawImage,f.RawVideo,f.RawVideoFrame,f.RepetitionPenaltyLogitsProcessor,f.ResNetForImageClassification,f.ResNetModel,f.ResNetPreTrainedModel,f.RoFormerForMaskedLM,f.RoFormerForQuestionAnswering,f.RoFormerForSequenceClassification,f.RoFormerForTokenClassification,f.RoFormerModel,f.RoFormerPreTrainedModel,f.RoFormerTokenizer,f.RobertaForMaskedLM,f.RobertaForQuestionAnswering,f.RobertaForSequenceClassification,f.RobertaForTokenClassification,f.RobertaModel,f.RobertaPreTrainedModel,f.RobertaTokenizer,f.SamImageProcessor,f.SamImageSegmentationOutput,f.SamModel,f.SamPreTrainedModel,f.SamProcessor,f.SapiensForDepthEstimation,f.SapiensForNormalEstimation,f.SapiensForSemanticSegmentation,f.SapiensPreTrainedModel,f.SeamlessM4TFeatureExtractor,f.SegformerFeatureExtractor,f.SegformerForImageClassification,f.SegformerForSemanticSegmentation,f.SegformerImageProcessor,f.SegformerModel,f.SegformerPreTrainedModel,f.Seq2SeqLMOutput,f.SequenceClassifierOutput,f.SiglipImageProcessor,f.SiglipModel,f.SiglipPreTrainedModel,f.SiglipTextModel,f.SiglipTokenizer,f.SiglipVisionModel,f.SmolVLMForConditionalGeneration,f.SmolVLMImageProcessor,f.SmolVLMProcessor,f.SpeechT5FeatureExtractor,f.SpeechT5ForSpeechToText,f.SpeechT5ForTextToSpeech,f.SpeechT5HifiGan,f.SpeechT5Model,f.SpeechT5PreTrainedModel,f.SpeechT5Processor,f.SpeechT5Tokenizer,f.SqueezeBertForMaskedLM,f.SqueezeBertForQuestionAnswering,f.SqueezeBertForSequenceClassification,f.SqueezeBertModel,f.SqueezeBertPreTrainedModel,f.SqueezeBertTokenizer,f.StableLmForCausalLM,f.StableLmModel,f.StableLmPreTrainedModel,f.Starcoder2ForCausalLM,f.Starcoder2Model,f.Starcoder2PreTrainedModel,f.StoppingCriteria,f.StoppingCriteriaList,f.StyleTextToSpeech2Model,f.StyleTextToSpeech2PreTrainedModel,f.SummarizationPipeline,f.SuppressTokensAtBeginLogitsProcessor,f.Swin2SRForImageSuperResolution,f.Swin2SRImageProcessor,f.Swin2SRModel,f.Swin2SRPreTrainedModel,f.SwinForImageClassification,f.SwinForSemanticSegmentation,f.SwinModel,f.SwinPreTrainedModel,f.T5ForConditionalGeneration,f.T5Model,f.T5PreTrainedModel,f.T5Tokenizer,f.TableTransformerForObjectDetection,f.TableTransformerModel,f.TableTransformerObjectDetectionOutput,f.TableTransformerPreTrainedModel,f.TemperatureLogitsWarper,f.Tensor,f.Text2TextGenerationPipeline,f.TextClassificationPipeline,f.TextGenerationPipeline;var Qv=f.TextStreamer;f.TextToAudioPipeline,f.TokenClassificationPipeline,f.TokenClassifierOutput,f.TokenizerModel,f.TopKLogitsWarper,f.TopPLogitsWarper,f.TrOCRForCausalLM,f.TrOCRPreTrainedModel,f.TranslationPipeline,f.UltravoxModel,f.UltravoxPreTrainedModel,f.UltravoxProcessor,f.UniSpeechForCTC,f.UniSpeechForSequenceClassification,f.UniSpeechModel,f.UniSpeechPreTrainedModel,f.UniSpeechSatForAudioFrameClassification,f.UniSpeechSatForCTC,f.UniSpeechSatForSequenceClassification,f.UniSpeechSatModel,f.UniSpeechSatPreTrainedModel,f.VLChatProcessor,f.VLMImageProcessor,f.ViTFeatureExtractor,f.ViTForImageClassification,f.ViTImageProcessor,f.ViTMAEModel,f.ViTMAEPreTrainedModel,f.ViTMSNForImageClassification,f.ViTMSNModel,f.ViTMSNPreTrainedModel,f.ViTModel,f.ViTPreTrainedModel,f.VisionEncoderDecoderModel,f.VitMatteForImageMatting,f.VitMatteImageProcessor,f.VitMattePreTrainedModel,f.VitPoseForPoseEstimation,f.VitPoseImageProcessor,f.VitPosePreTrainedModel,f.VitsModel,f.VitsModelOutput,f.VitsPreTrainedModel,f.VitsTokenizer,f.Wav2Vec2BertForCTC,f.Wav2Vec2BertForSequenceClassification,f.Wav2Vec2BertModel,f.Wav2Vec2BertPreTrainedModel,f.Wav2Vec2CTCTokenizer,f.Wav2Vec2FeatureExtractor,f.Wav2Vec2ForAudioFrameClassification,f.Wav2Vec2ForCTC,f.Wav2Vec2ForSequenceClassification,f.Wav2Vec2Model,f.Wav2Vec2PreTrainedModel,f.Wav2Vec2Processor,f.Wav2Vec2ProcessorWithLM,f.WavLMForAudioFrameClassification,f.WavLMForCTC,f.WavLMForSequenceClassification,f.WavLMForXVector,f.WavLMModel,f.WavLMPreTrainedModel,f.WeSpeakerFeatureExtractor,f.WeSpeakerResNetModel,f.WeSpeakerResNetPreTrainedModel,f.WhisperFeatureExtractor;var Xv=f.WhisperForConditionalGeneration;f.WhisperModel,f.WhisperPreTrainedModel,f.WhisperProcessor,f.WhisperTextStreamer,f.WhisperTimeStampLogitsProcessor,f.WhisperTokenizer,f.XLMForQuestionAnswering,f.XLMForSequenceClassification,f.XLMForTokenClassification,f.XLMModel,f.XLMPreTrainedModel,f.XLMRobertaForMaskedLM,f.XLMRobertaForQuestionAnswering,f.XLMRobertaForSequenceClassification,f.XLMRobertaForTokenClassification,f.XLMRobertaModel,f.XLMRobertaPreTrainedModel,f.XLMRobertaTokenizer,f.XLMTokenizer,f.XLMWithLMHeadModel,f.XVectorOutput,f.YolosFeatureExtractor,f.YolosForObjectDetection,f.YolosImageProcessor,f.YolosModel,f.YolosObjectDetectionOutput,f.YolosPreTrainedModel,f.ZeroShotAudioClassificationPipeline,f.ZeroShotClassificationPipeline,f.ZeroShotImageClassificationPipeline,f.ZeroShotObjectDetectionPipeline,f.bankers_round,f.cat,f.cos_sim,f.dot,f.dynamic_time_warping,f.env;var Jv=f.full;f.full_like,f.getKeyValueShapes,f.hamming,f.hanning,f.interpolate,f.interpolate_4d,f.interpolate_data,f.is_chinese_char,f.layer_norm,f.load_image,f.load_video,f.log_softmax,f.magnitude,f.matmul,f.max,f.mean,f.mean_pooling,f.medianFilter,f.mel_filter_bank,f.min,f.ones,f.ones_like,f.permute,f.permute_data,f.pipeline,f.quantize_embeddings,f.rand,f.read_audio,f.rfft,f.round,f.slice,f.softmax,f.spectrogram,f.stack,f.std_mean,f.topk,f.window_function,f.zeros,f.zeros_like;const Yv=64;class Wn{static async getInstance(r){return this.model_id="onnx-community/whisper-large-v3-turbo",this.tokenizer??(this.tokenizer=qv.from_pretrained(this.model_id,{progress_callback:r})),this.processor??(this.processor=Hv.from_pretrained(this.model_id,{progress_callback:r})),this.model??(this.model=Xv.from_pretrained(this.model_id,{dtype:{encoder_model:"fp16",decoder_model_merged:"q4"},device:"webgpu",progress_callback:r})),Promise.all([this.tokenizer,this.processor,this.model])}}re(Wn,"model_id",null),re(Wn,"tokenizer"),re(Wn,"processor"),re(Wn,"model");async function Zv(e){const r=atob(e),t=new Uint8Array(r.length);for(let n=0;n{o??(o=performance.now());let _;a++>0&&(_=a/(performance.now()-o)*1e3),globalThis.postMessage({status:"update",output:w,tps:_,numTokens:a})},d=new Qv(s,{skip_prompt:!0,decode_kwargs:{skip_special_tokens:!0},callback_function:l}),p=await i(t),u=await n.generate({...p,max_new_tokens:Yv,language:r,streamer:d}),h=s.batch_decode(u,{skip_special_tokens:!0});globalThis.postMessage({status:"complete",output:h}),Qc=!1}async function tx(){globalThis.postMessage({status:"loading",data:"Loading model..."});const[e,r,t]=await Wn.getInstance(s=>{globalThis.postMessage(s)});globalThis.postMessage({status:"loading",data:"Compiling shaders and warming up model..."}),await t.generate({input_features:Jv([1,128,3e3],0),max_new_tokens:1}),globalThis.postMessage({status:"ready"})}globalThis.addEventListener("message",async e=>{const{type:r,data:t}=e.data;switch(r){case"load":tx();break;case"generate":ex(t);break}})})(); + 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lx=_.full;_.full_like,_.getKeyValueShapes,_.hamming,_.hanning,_.interpolate,_.interpolate_4d,_.interpolate_data,_.is_chinese_char,_.layer_norm,_.load_image,_.load_video,_.log_softmax,_.magnitude,_.matmul,_.max,_.mean,_.mean_pooling,_.medianFilter,_.mel_filter_bank,_.min,_.ones,_.ones_like,_.permute,_.permute_data,_.pipeline,_.quantize_embeddings,_.rand,_.read_audio,_.rfft,_.round,_.slice,_.softmax,_.spectrogram,_.stack,_.std_mean,_.topk,_.window_function,_.zeros,_.zeros_like;const dx=64;class Wn{static async getInstance(r){return this.model_id="onnx-community/whisper-large-v3-turbo",this.tokenizer??(this.tokenizer=ix.from_pretrained(this.model_id,{progress_callback:r})),this.processor??(this.processor=nx.from_pretrained(this.model_id,{progress_callback:r})),this.model??(this.model=ax.from_pretrained(this.model_id,{dtype:{encoder_model:"fp16",decoder_model_merged:"q4"},device:"webgpu",progress_callback:r})),Promise.all([this.tokenizer,this.processor,this.model])}}re(Wn,"model_id",null),re(Wn,"tokenizer"),re(Wn,"processor"),re(Wn,"model");async function cx(e){const r=atob(e),t=new Uint8Array(r.length);for(let n=0;n{o??(o=performance.now());let f;a++>0&&(f=a/(performance.now()-o)*1e3),globalThis.postMessage({status:"update",output:w,tps:f,numTokens:a})},d=new ox(s,{skip_prompt:!0,decode_kwargs:{skip_special_tokens:!0},callback_function:l}),p=await i(t),u=await n.generate({...p,max_new_tokens:dx,language:r,streamer:d}),h=s.batch_decode(u,{skip_special_tokens:!0});globalThis.postMessage({status:"complete",output:h}),Xc=!1}async function px(){globalThis.postMessage({status:"loading",data:"Loading model..."});const[e,r,t]=await Wn.getInstance(s=>{globalThis.postMessage(s)});globalThis.postMessage({status:"loading",data:"Compiling shaders and warming up model..."}),await t.generate({input_features:lx([1,128,3e3],0),max_new_tokens:1}),globalThis.postMessage({status:"ready"})}globalThis.addEventListener("message",async e=>{const{type:r,data:t}=e.data;switch(r){case"load":px();break;case"generate":ux(t);break}})})(); diff --git a/assets/xai-CcYrpCYf.js b/assets/xai-BtPhk-ua.js similarity index 67% rename from assets/xai-CcYrpCYf.js rename to assets/xai-BtPhk-ua.js index e41777e6d890a470beee4214eb3e208db297068d..f99478a95cc98f596459e11b5214999d7d5a7c13 100644 --- a/assets/xai-CcYrpCYf.js +++ b/assets/xai-BtPhk-ua.js @@ -1 +1 @@ -import"./live2d-zip-loader-BdiFCiUD.js";import{d as x,i as U,bE as V,s as y,h as v,m as $,w as k,x as K,o as h,y as p,b as l,e as t}from"./index-rD0Uu1v9.js";import{u as w}from"./providers-Dg3FpvfZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-B6O5Ed-l.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-D6iZRJ1J.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BB0RLsbB.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-Dspm6e47.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-Dwj6jOSw.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-NdRJmgIO.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-DzP-b4ZK.js";import"./Input.vue_vue_type_script_setup_true_lang-ffn2ynxx.js";const a="xai",H=x({__name:"xai",setup(B){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=v(()=>m.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,i;m.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),k([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"xai-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.x.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default}; +import"./live2d-zip-loader-C5j9stxV.js";import{d as x,i as U,bE as V,s as y,h as v,m as $,w as k,x as K,o as h,y as p,b as l,e as t}from"./index-Dlp4W1Zl.js";import{u as w}from"./providers-BRCa7xUS.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-ByRjZiEm.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CJEkoqPm.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-BmvtPoIO.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-BiW-Rh6S.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-DB9y2Oef.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dch7MbTT.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-Dgm67C-D.js";import"./Input.vue_vue_type_script_setup_true_lang-BOLdlSh_.js";const a="xai",H=x({__name:"xai",setup(B){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=v(()=>m.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,i;m.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),k([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"xai-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.x.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default}; diff --git a/index.html b/index.html index f62135752c84b3fc7bb7e5bd90a6cff354f8898c..1fcda545f1976b8c35232c3d2b8bebe8aac02428 100644 --- a/index.html +++ b/index.html @@ -23,7 +23,7 @@ src="/remote-assets/page-external-data/js/script.js" > - +