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this.begin_nodes[t]){o.prev=null;let i=0,l=null;for(let u of this.end_nodes[t]){const h=u.backtrace_score+o.score;(l===null||h>i)&&(l=u.clone(),i=h)}if(l!==null)o.prev=l,o.backtrace_score=i;else return[]}++t}const r=[],s=this.begin_nodes[e][0].prev;if(s===null)return[];let a=s.clone();for(;a.prev!==null;)r.push(a.clone()),a=a.clone().prev.clone();return r.reverse(),r}piece(e){return this.chars.slice(e.pos,e.pos+e.length).join("")}tokens(){return this.viterbi().map(t=>this.piece(t))}token_ids(){return this.viterbi().map(t=>t.token_id)}},lx=ix;function cx(e){if(e.length===0)throw new Error("Array must not be empty");let t=e[0],r=0;for(let n=1;n[n,s])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.min_score=cx(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new ox,this.trie.extend(this.vocab),this.fuse_unk=!0}populate_nodes(e){const t=e.chars,r=1;let n=0;for(;nr>n,t=1/0){this._heap=[],this._comparator=e,this._max_size=t}get size(){return this._heap.length}is_empty(){return this.size===0}peek(){return this._heap[0]}push(...e){return this.extend(e)}extend(e){for(const t of e)if(this.size0&&this._swap(0,t),this._heap.pop(),this._sift_down(),e}replace(e){const t=this.peek();return this._heap[0]=e,this._sift_down(),t}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,t){return this._comparator(this._heap[e],this._heap[t])}_swap(e,t){const r=this._heap[e];this._heap[e]=this._heap[t],this._heap[t]=r}_sift_up(){this._sift_up_from(this.size-1)}_sift_up_from(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_sift_down(){let e=0;for(;this._left(e)this.capacity&&this.cache.delete(this.cache.keys().next().value)}clear(){this.cache.clear()}},_x=fx,px=class extends za{constructor(e){super(e),this.tokens_to_ids=Sl(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[r,n]of this.tokens_to_ids)this.vocab[n]=r;const t=Array.isArray(e.merges[0]);this.merges=t?e.merges:e.merges.map(r=>r.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((r,n)=>[JSON.stringify(r),n])),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.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.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new _x(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(e){if(e.length===0)return[];const t=this.cache.get(e);if(t!==void 0)return t;const r=Array.from(e);this.end_of_word_suffix&&(r[r.length-1]+=this.end_of_word_suffix);let n=[];if(r.length>1){const s=new hx((i,l)=>i.score`<0x${o.toString(16).toUpperCase().padStart(2,"0")}>`);a.every(o=>this.tokens_to_ids.has(o))?t.push(...a):t.push(this.unk_token)}else t.push(this.unk_token)}return t}},Af=px,mx=class extends za{constructor(e,t){super(e);const r=e.vocab;this.tokens_to_ids=Sl(t.target_lang?r[t.target_lang]:r),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.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[n,s]of this.tokens_to_ids)this.vocab[s]=n}encode(e){return e}},gx=mx;function wx(e,t){switch(e.type){case"WordPiece":return new Ef(e);case"Unigram":return new Sf(e,t.eos_token);case"BPE":return new Af(e);default:if(e.vocab)return Array.isArray(e.vocab)?new Sf(e,t.eos_token):Object.hasOwn(e,"continuing_subword_prefix")&&Object.hasOwn(e,"unk_token")?Object.hasOwn(e,"merges")?new Af(e):new Ef(e):new gx(e,{target_lang:t.target_lang,bos_token:t.bos_token,eos_token:t.eos_token,pad_token:t.pad_token,unk_token:t.unk_token});throw new Error(`Unknown TokenizerModel type: ${e==null?void 0:e.type}`)}}var vx=wx,yx=class extends gs{constructor(e){super(),this.config=e}_call(e,...t){return this.post_process(e,...t)}},ws=yx,bx=class extends ws{post_process(e,t=null,r=!0){const n=t===null?this.config.single:this.config.pair;let s=[],a=[];for(const o of n)"SpecialToken"in o?r&&(s.push(o.SpecialToken.id),a.push(o.SpecialToken.type_id)):"Sequence"in o&&(o.Sequence.id==="A"?(s=Bt(s,e),a=Bt(a,new Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id==="B"&&(s=Bt(s,t),a=Bt(a,new Array(t.length).fill(o.Sequence.type_id))));return{tokens:s,token_type_ids:a}}},Mx=bx,xx=class extends ws{post_process(e,t=null){return{tokens:e,tokens_pair:t}}},Tx=xx,kx=class extends ws{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t=null,r=!0){r&&(e=Bt([this.cls[0]],e,[this.sep[0]]));let n=new Array(e.length).fill(0);if(t){const s=[],a=r?[this.sep[0]]:[];e=Bt(e,s,t,a),n=Bt(n,new Array(t.length+s.length+a.length).fill(1))}return{tokens:e,token_type_ids:n}}},Ex=kx,Cx=class extends ws{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,r=!0){r&&(e=Bt([this.cls[0]],e,[this.sep[0]]));let n=new Array(e.length).fill(0);if(t){const s=r?[this.sep[0]]:[],a=r?[this.sep[0]]:[];e=Bt(e,s,t,a),n=Bt(n,new Array(t.length+s.length+a.length).fill(1))}return{tokens:e,token_type_ids:n}}},Sx=Cx,Ax=class extends ws{constructor(e){super(e),this.processors=(e.processors??[]).map(t=>xp(t))}post_process(e,t=null,r=!0){let n={tokens:e,tokens_pair:t};for(const s of this.processors)n=s.post_process(n.tokens,n.tokens_pair,r);return n}},Px=Ax;function Fx(e){if(e===null)return null;switch(e.type){case"TemplateProcessing":return new Mx(e);case"ByteLevel":return new Tx(e);case"BertProcessing":return new Ex(e);case"RobertaProcessing":return new Sx(e);case"Sequence":return new Px(e);default:throw new Error(`Unknown PostProcessor type: ${e.type}`)}}var xp=Fx,Lx=class extends gs{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets="trim_offsets"in e?e.trim_offsets:!1}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join("")}},$t=Lx,Ix=class extends $t{constructor(e){super(e),this.byte_decoder=X0,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){const t=e.join(""),r=new Uint8Array([...t].map(n=>this.byte_decoder[n]));return this.text_decoder.decode(r)}decode_chain(e){const t=[];let r=[];for(const n of e)this.added_tokens.find(s=>s.content===n)!==void 0?(r.length>0&&(t.push(this.convert_tokens_to_string(r)),r=[]),t.push(n)):r.push(n);return r.length>0&&t.push(this.convert_tokens_to_string(r)),t}},Ox=Ix,Nx=class extends $t{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((t,r)=>{if(r!==0){const n=this.config.prefix;n&&t.startsWith(n)?t=t.replace(n,""):t=" "+t}return this.cleanup&&(t=Cl(t)),t})}},Dx=Nx,Bx=class extends $t{constructor(e){super(e),this.replacement=e.replacement??"▁"}decode_chain(e){const t=[];for(let r=0;rt.replaceAll(this.suffix,r===e.length-1?"":" "))}},$x=Rx,Gx=class extends $t{constructor(e){super(e),this.pad_token=e.pad_token??"",this.word_delimiter_token=e.word_delimiter_token??"",this.cleanup=e.cleanup}convert_tokens_to_string(e){if(e.length===0)return"";const t=[e[0]];for(let s=1;ss!==this.pad_token).join("");return this.cleanup&&(n=Cl(n).replaceAll(this.word_delimiter_token," ").trim()),n}decode_chain(e){return[this.convert_tokens_to_string(e)]}},Vx=Gx,Ux=class extends $t{constructor(e){super(e),this.decoders=(e.decoders??[]).map(t=>Tp(t))}decode_chain(e){return this.decoders.reduce((t,r)=>r.decode_chain(t),e)}},Wx=Ux,jx=class extends $t{decode_chain(e){const t=Da(this.config.pattern),r=this.config.content??"";return t===null?e:e.map(n=>n.replaceAll(t,r))}},qx=jx,Hx=class extends $t{decode_chain(e){return[e.join("")]}},Qx=Hx,Xx=class extends $t{constructor(e){super(e),this.content=e.content??"",this.start=e.start??0,this.stop=e.stop??0}decode_chain(e){return e.map(t=>{let r=0;for(let s=0;s")){const a=parseInt(n.slice(3,5),16);isNaN(a)||(s=a)}if(s!==null)r.push(s);else{if(r.length>0){const a=this.text_decoder.decode(Uint8Array.from(r));t.push(a),r=[]}t.push(n)}}if(r.length>0){const n=this.text_decoder.decode(Uint8Array.from(r));t.push(n),r=[]}return t}},Jx=Kx;function Zx(e){if(e===null)return null;switch(e.type){case"ByteLevel":return new Ox(e);case"WordPiece":return new Dx(e);case"Metaspace":return new zx(e);case"BPEDecoder":return new $x(e);case"CTC":return new Vx(e);case"Sequence":return new Wx(e);case"Replace":return new 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H0(o);if(this.added_tokens.push(i),this.model.tokens_to_ids.set(i.content,i.id),this.model.vocab[i.id]=i.content,i.special&&(this.special_tokens.push(i.content),this.all_special_ids.push(i.id)),this.added_tokens_map.set(i.content,i),i.normalized&&this.normalizer!==null){const l=this.normalizer(i.content);a.push(l),this.added_tokens_map.set(l,i)}else s.push(i.content)}(this.config.additional_special_tokens??[]).forEach(o=>{this.special_tokens.includes(o)||this.special_tokens.push(o)}),this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.splitter_unnormalized=new xf(s),this.splitter_normalized=new 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this._nearest_interpolate_4d||(this._nearest_interpolate_4d=wr([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=wr([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=wr([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=wr([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=wr([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=wr([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=wr([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=wr([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}},M(hi,"session_options",{}),hi),ET=Object.freeze({auto:"auto",gpu:"gpu",cpu:"cpu",wasm:"wasm",webgpu:"webgpu",cuda:"cuda",dml:"dml",coreml:"coreml",webnn:"webnn","webnn-npu":"webnn-npu","webnn-gpu":"webnn-gpu","webnn-cpu":"webnn-cpu"}),ni=_e.IS_NODE_ENV?"cpu":"wasm";function CT(e,t,{warn:r}={}){return e?typeof e=="string"?e:e.hasOwnProperty(t)?e[t]:(r&&r(`device not specified for "${t}". Using the default device (${ni}).`),ni):ni}var ST=(function(){let e;return async function(){if(e===void 0)if(!_e.IS_WEBGPU_AVAILABLE)e=!1;else try{e=(await navigator.gpu.requestAdapter()).features.has("shader-f16")}catch{e=!1}return e}})(),lt=Object.freeze({auto:"auto",fp32:"fp32",fp16:"fp16",q8:"q8",int8:"int8",uint8:"uint8",q4:"q4",bnb4:"bnb4",q4f16:"q4f16"}),Hf=lt.fp32,Qf=Object.freeze({[ET.wasm]:lt.q8}),Xf=Object.freeze({[lt.fp32]:"",[lt.fp16]:"_fp16",[lt.int8]:"_int8",[lt.uint8]:"_uint8",[lt.q8]:"_quantized",[lt.q4]:"_q4",[lt.q4f16]:"_q4f16",[lt.bnb4]:"_bnb4"});function AT(e,t,r,{configDtype:n=null,warn:s}={}){let a,o=!1;e&&typeof e!="string"?e.hasOwnProperty(t)?a=e[t]:(a=null,o=!0):a=e;let i;if(a===lt.auto){if(n){const l=typeof n=="string"?n:n==null?void 0:n[t];if(l&&l!==lt.auto&<.hasOwnProperty(l))return l}i=Qf[r]??Hf}else a&<.hasOwnProperty(a)?i=a:i=Qf[r]??Hf;return o&&s&&s(`dtype not specified for "${t}". 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n=r.reduce((s,a)=>s*a);for(let s=0;s0){const s=n.reduce((a,o)=>a*o);return this._subarray(t,s,n)}else return new $e(this.type,[this.data[t]],n)}indexOf(t){const r=this.data;for(let n=0;ng)throw new Error(`Invalid slice: ${f}`);const w=[Math.max(_,0),Math.min(g,this.dims[h])];n.push(w),r.push(w[1]-w[0])}else throw new Error(`Invalid slice: ${f}`)}const s=n.map(([h,f])=>f-h),a=s.reduce((h,f)=>h*f),o=this.data,i=new o.constructor(a),l=this.stride();let u=!0;for(let h=1;h=0;--_){const w=s[_];f+=(g%w+n[_][0])*l[_],g=Math.floor(g/w)}i[h]=o[f]}return new $e(this.type,i,r)}permute(...t){return FT(this,t)}transpose(...t){return this.permute(...t)}sum(t=null,r=!1){return this.norm(1,t,r)}norm(t="fro",r=null,n=!1){if(t==="fro")t=2;else if(typeof t=="string")throw Error(`Unsupported norm: ${t}`);const s=this.data,a=(u,h)=>u+h**t;if(r===null){const u=s.reduce(a,0)**(1/t);return new $e(this.type,[u],[])}const[o,i,l]=ds(a,this,r,n);if(t!==1)for(let u=0;u=0;--l){const f=this.dims[l];if(l!==r){const _=u%f;i+=_*h,h*=this.dims[l]}u=Math.floor(u/f)}s[o]/=a[i]}return this}normalize(t=2,r=1){return this.clone().normalize_(t,r)}stride(){return si(this.dims)}squeeze(t=null){return new $e(this.type,this.data,Yf(this.dims,t))}squeeze_(t=null){return this.dims=Yf(this.dims,t),this}unsqueeze(t){return new $e(this.type,this.data,Kf(this.dims,t))}unsqueeze_(t){return this.dims=Kf(this.dims,t),this}flatten_(t=0,r=-1){r=(r+this.dims.length)%this.dims.length;let n=this.dims.slice(0,t),s=this.dims.slice(t,r+1),a=this.dims.slice(r+1);return this.dims=[...n,s.reduce((o,i)=>o*i,1),...a],this}flatten(t=0,r=-1){return this.clone().flatten_(t,r)}view(...t){let r=-1;for(let s=0;si!==r?a*o:a,1);t[r]=n.length/s}return new $e(this.type,n,t)}neg_(){const t=this.data;for(let r=0;rt?1:0;return new $e("bool",r,this.dims)}lt(t){const r=new Uint8Array(this.data.length),n=this.data;for(let s=0;sMath.min(o,i),this,t,r,1/0);return new $e(n,s,a)}max(t=null,r=!1){if(t===null){const o=We(this.data)[0];return new $e(this.type,[o],[])}const[n,s,a]=ds((o,i)=>Math.max(o,i),this,t,r,-1/0);return new $e(n,s,a)}argmin(t=null,r=!1){if(t!==null)throw new Error("`dim !== null` not yet implemented.");const n=Ki(this.data)[1];return new $e("int64",[BigInt(n)],[])}argmax(t=null,r=!1){if(t!==null)throw new Error("`dim !== null` not yet implemented.");const n=We(this.data)[1];return new $e("int64",[BigInt(n)],[])}repeat(...t){if(t.lengthh===1)){if(t.length===this.dims.length)return this.clone();const h=t.length-this.dims.length,f=Array(h).fill(1).concat(this.dims);return new $e(this.type,this.data.slice(),f)}const r=t.length-this.dims.length,n=Array(r).fill(1).concat(this.dims),s=n.map((h,f)=>h*t[f]),a=s.reduce((h,f)=>h*f,1),o=this.data,i=new o.constructor(a),l=si(n),u=si(s);for(let h=0;hBigInt(Math.floor(a)):r=BigInt;else if(this.type==="float16"&&t=="float32"&&this.data instanceof Uint16Array)return new $e(t,gT(this.data),this.dims);return new $e(t,Fa[t].from(this.data,r),this.dims)}};function PT(e,t){const r=e.length,n=t.reduce((a,o)=>a*o);if(r!==n)throw Error(`cannot reshape array of size ${r} into shape (${t})`);let s=e;for(let a=t.length-1;a>=0;a--)s=s.reduce((o,i)=>{let l=o[o.length-1];return l.lengthnew j("int64",e,[e.length]);async function Up(e,t,r,n,s){return await(await mn.slice)({x:e,s:Hs(t),e:Hs(r),a:Hs(n),t:Hs(new Array(n.length).fill(1))})}function Yf(e,t){return e=e.slice(),t===null?e=e.filter(r=>r!==1):typeof t=="number"?e[t]===1&&e.splice(t,1):Array.isArray(t)&&(e=e.filter((r,n)=>r!==1||!t.includes(n))),e}function Kf(e,t){return t=Xt(t,e.length+1),e=e.slice(),e.splice(t,0,1),e}function Xt(e,t,r=null,n=!0){if(e<-t||e>=t){if(n)throw new Error(`IndexError: index ${e} is out of bounds for dimension${r===null?"":" "+r} with size ${t}`);return e<-t?0:t}return e<0&&(e=(e%t+t)%t),e}function Re(e,t=0){t=Xt(t,e[0].dims.length);const r=e[0].dims.slice();r[t]=e.reduce((o,i)=>o+i.dims[t],0);const n=r.reduce((o,i)=>o*i,1),s=new e[0].data.constructor(n),a=e[0].type;if(t===0){let o=0;for(const i of e){const l=i.data;s.set(l,o),o+=l.length}}else{let o=0;for(let i=0;i=0;--_){const v=u[_];let b=g%v;_===t&&(b+=o),f+=b*w,w*=r[_],g=Math.floor(g/v)}s[f]=l[h]}o+=u[t]}}return new j(a,s,r)}function kn(e,t=0){return Re(e.map(r=>r.unsqueeze(t)),t)}function ds(e,t,r,n=!1,s=null){const a=t.data,o=t.dims;r=Xt(r,o.length);const i=o.slice();i[r]=1;const l=new a.constructor(a.length/o[r]);s!==null&&l.fill(s);for(let u=0;u=0;--f){const w=o[f];if(f!==r){const v=_%w;h+=v*g,g*=i[f]}_=Math.floor(_/w)}l[h]=e(l[h],a[u],u,h)}return n||i.splice(r,1),[t.type,l,i]}function IT(e,t=null,r=1,n=!1){const s=e.data,a=e.dims;if(t===null){const g=s.reduce((k,E)=>k+E,0)/s.length,w=Math.sqrt(s.reduce((k,E)=>k+(E-g)**2,0)/(s.length-r)),v=new j(e.type,[g],[]);return[new j(e.type,[w],[]),v]}t=Xt(t,a.length);const o=Il(e,t,n),i=o.data,[l,u,h]=ds((_,g,w,v)=>_+(g-i[v])**2,e,t,n);for(let _=0;_u+h,0);return new j(e.type,[l/s.length],[])}t=Xt(t,n.length);const[a,o,i]=ds((l,u)=>l+u,e,t,r);if(n[t]!==1)for(let l=0;l=0;--r)t[r]=n,n*=e[r];return t}function Ol(e,t,r,n){const s=e.reduce((a,o)=>a*o,1);return new j(r,new n(s).fill(t),e)}function ct(e,t){let r,n;if(typeof t=="number")r="float32",n=Float32Array;else if(typeof t=="bigint")r="int64",n=BigInt64Array;else if(typeof t=="boolean")r="bool",n=Uint8Array;else throw new Error(`Unsupported data type: ${typeof t}`);return Ol(e,t,r,n)}function Zi(e,t){return ct(e.dims,t)}function Ft(e){return Ol(e,1n,"int64",BigInt64Array)}function Wp(e){return Ft(e.dims)}function jp(e){return Ol(e,0n,"int64",BigInt64Array)}function qp(e){return jp(e.dims)}function OT(e){const t=e.reduce((r,n)=>r*n,1);return new j("float32",Float32Array.from({length:t},()=>Pl.gauss()),e)}async function NT(e){if(!e)throw new Error("modelId is required for get_tokenizer_files");return(await Sp(e,"tokenizer_config.json",{})).exists?["tokenizer.json","tokenizer_config.json"]:[]}async function Hp(e,t){const r=await NT(e);return await Promise.all(r.map(n=>Er(e,n,!0,t)))}function Qp(e){const t=e.dims;switch(t.length){case 1:return e.tolist();case 2:if(t[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return e.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${t.length}.`)}}var DT=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function BT(e,t,r,n){for(const s of Object.keys(e)){const a=t-e[s].length,o=r(s),i=new Array(a).fill(o);e[s]=n==="right"?Dt(e[s],i):Dt(i,e[s])}}function zT(e,t){for(const r of Object.keys(e))e[r].length=t}function Or(e,...t){for(const r of t){if(!Object.hasOwn(e,r))continue;const n=e[r];if(n)if(typeof n=="object"){if(n.__type==="AddedToken")return n.content;throw Error(`Unknown token: ${n}`)}else return n}return null}function RT(e){const t=[];for(const r of e.get_added_tokens_decoder().values())r.special&&t.push(r);return t}var le=class extends Vt{constructor(t,r){super();M(this,"return_token_type_ids",!1);M(this,"padding_side","right");if(this._tokenizerJSON=t,this._tokenizerConfig=r,this._tokenizer=new t1(t,r),this.config=r,this.padding_side=r.padding_side??this.padding_side,this.mask_token=Or(r,"mask_token"),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=Or(r,"pad_token","eos_token"),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=Or(r,"sep_token"),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=Or(r,"unk_token"),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=Or(r,"bos_token"),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=Or(r,"eos_token"),this.eos_token_id=this._tokenizer.token_to_id(this.eos_token),this.chat_template=r.chat_template??null,Array.isArray(this.chat_template)){const s=Object.create(null);for(const{name:a,template:o}of this.chat_template){if(typeof a!="string"||typeof o!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');s[a]=o}this.chat_template=s}this._compiled_template_cache=new Map;const n=RT(this._tokenizer);this.all_special_ids=n.map(s=>s.id),this.all_special_tokens=n.map(s=>s.content)}static async from_pretrained(t,{progress_callback:r=null,config:n=null,cache_dir:s=null,local_files_only:a=!1,revision:o="main"}={}){const i=await Hp(t,{progress_callback:r,config:n,cache_dir:s,local_files_only:a,revision:o});return new this(...i)}get_vocab(){return this._tokenizer.get_vocab()}get model_max_length(){return this._tokenizerConfig.model_max_length??1/0}get add_eos_token(){return this._tokenizerConfig.add_eos_token}get add_bos_token(){return this._tokenizerConfig.add_bos_token}convert_tokens_to_ids(t){return typeof t=="string"?this._tokenizer.token_to_id(t):t.map(r=>this._tokenizer.token_to_id(r))}_call(t,{text_pair:r=null,add_special_tokens:n=!0,padding:s=!1,truncation:a=null,max_length:o=null,return_tensor:i=!0,return_token_type_ids:l=null}={}){const u=Array.isArray(t);let h;if(u){if(t.length===0)throw Error("text array must be non-empty");if(r!==null){if(Array.isArray(r)){if(t.length!==r.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");h=t.map((_,g)=>this._encode_plus(_,{text_pair:r[g],add_special_tokens:n,return_token_type_ids:l}))}else h=t.map(_=>this._encode_plus(_,{add_special_tokens:n,return_token_type_ids:l}))}else{if(t==null)throw Error("text may not be null or undefined");if(Array.isArray(r))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");h=[this._encode_plus(t,{text_pair:r,add_special_tokens:n,return_token_type_ids:l})]}if(o===null?o=this.model_max_length:a===null&&(s===!0?(ge.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),o=this.model_max_length):s===!1&&(ge.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."),a=!0)),s===!0&&(o=Math.min(We(h.map(_=>_.input_ids.length))[0],o??1/0)),o=Math.min(o,this.model_max_length??1/0),s||a)for(let _=0;_o?a&&zT(h[_],o):s&&BT(h[_],o,g=>g==="input_ids"?this.pad_token_id:0,this.padding_side));const f={};if(i){if(!(s&&a)&&h.some(g=>{var w;for(const v of Object.keys(g))if(g[v].length!==((w=h[0][v])==null?void 0:w.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 _=[h.length,h[0].input_ids.length];for(const g of Object.keys(h[0]))f[g]=new j("int64",BigInt64Array.from(h.flatMap(w=>w[g]).map(BigInt)),_)}else{for(const _ of Object.keys(h[0]))f[_]=h.map(g=>g[_]);if(!u)for(const _ of Object.keys(f))f[_]=f[_][0]}return f}_encode_text(t){return t===null?null:this._tokenizer.encode(t).tokens}_encode_plus(t,{text_pair:r=null,add_special_tokens:n=!0,return_token_type_ids:s=null}={}){const{ids:a,attention_mask:o,token_type_ids:i}=this._tokenizer.encode(t,{text_pair:r,add_special_tokens:n,return_token_type_ids:s??this.return_token_type_ids});return{input_ids:a,attention_mask:o,...i?{token_type_ids:i}:{}}}tokenize(t,{pair:r=null,add_special_tokens:n=!1}={}){return this._tokenizer.tokenize(t,{text_pair:r,add_special_tokens:n})}encode(t,{text_pair:r=null,add_special_tokens:n=!0,return_token_type_ids:s=null}={}){return this._tokenizer.encode(t,{text_pair:r,add_special_tokens:n,return_token_type_ids:s}).ids}batch_decode(t,r={}){return t instanceof j&&(t=t.tolist()),t.map(n=>this.decode(n,r))}decode(t,r={}){if(t instanceof j&&(t=Qp(t)),!Array.isArray(t)||t.length===0||!U0(t[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(t,r)}decode_single(t,{skip_special_tokens:r=!1,clean_up_tokenization_spaces:n=null}){return this._tokenizer.decode(t,{skip_special_tokens:r,clean_up_tokenization_spaces:n})}get_chat_template({chat_template:t=null,tools:r=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const n=this.chat_template;if(t!==null&&Object.hasOwn(n,t))t=n[t];else if(t===null)if(r!==null&&"tool_use"in n)t=n.tool_use;else if("default"in n)t=n.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(n).sort()}.`)}else if(t===null)if(this.chat_template)t=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 t}apply_chat_template(t,{tools:r=null,documents:n=null,chat_template:s=null,add_generation_prompt:a=!1,tokenize:o=!0,padding:i=!1,truncation:l=!1,max_length:u=null,return_tensor:h=!0,return_dict:f=!0,tokenizer_kwargs:_={},...g}={}){if(s=this.get_chat_template({chat_template:s,tools:r}),typeof s!="string")throw Error(`chat_template must be a string, but got ${typeof s}`);let w=this._compiled_template_cache.get(s);w===void 0&&(w=new Y1(s),this._compiled_template_cache.set(s,w));const v=Object.create(null);for(const k of DT){const E=Or(this.config,k);E&&(v[k]=E)}const b=w.render({messages:t,add_generation_prompt:a,tools:r,documents:n,...v,...g});if(o){const k=this._call(b,{add_special_tokens:!1,padding:i,truncation:l,max_length:u,return_tensor:h,..._});return f?k:k.input_ids}return b}};function Nl(e,t,r,n){if(!("language_codes"in e)||!Array.isArray(e.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in e)||!(e.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in e)||typeof e.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const s=n.src_lang,a=n.tgt_lang;if(!e.language_codes.includes(a))throw new Error(`Target language code "${a}" is not valid. 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Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!h)throw new Error("`preemphasis_htk_flavor=false` is not currently supported.");if(o)switch(i){case"reflect":{const S=Math.floor((s-1)/2)+1;e=Wk(e,S,S);break}case"constant":{const S=Math.floor(s/2),z=new e.constructor(e.length+2*S);z.set(e,S),e=z;break}default:throw new Error(`pad_mode="${i}" not implemented yet.`)}let V=Math.floor(1+Math.floor((e.length-r)/n));E!==null&&VV?F&&(Z=C):Z=U=C);const H=new fT(s),D=new Float64Array(s),N=new Float64Array(H.outputBufferSize),ie=new Float32Array(R*Z);for(let S=0;S=1;--X)D[X]-=u*D[X-1];D[0]*=1-u}for(let X=0;XMath.pow(i,.85));break;default:throw new Error(`Unknown window type ${t}.`)}if(r&&(o=o.subarray(0,e)),n===null)return o;if(e>n)throw new Error(`Length of the window (${e}) may not be larger than frame_length (${n})`);return o}var Hk=class extends ft{constructor(e){super(e);const t=this.config.sampling_rate,r=ur(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,"kaldi",!0);this.mel_filters=r,this.window=Sr(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return Cr(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){kt(e,"ASTFeatureExtractor");const t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){const r=this.std*2,n=t.data;for(let s=0;s0)if(r==="rand_trunc"){const o=Math.floor(Pl.random()*(a+1));e=e.subarray(o,o+t),s=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${r}" not implemented`);else{if(a<0){let o=new Float64Array(t);if(o.set(e),n==="repeat")for(let i=e.length;it&&(e=e.slice(0,t)),n&&e.length%s!==0){const i=s-e.length%s,l=new Float64Array(e.length+i);l.set(e),this.config.padding_value!==0&&l.fill(this.config.padding_value,e.length),e=l}const a=await this._extract_fbank_features(e,this.config.max_length),o=ct([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},Kk=class extends ft{async _call(e){kt(e,"MoonshineFeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));const t=[1,e.length];return{input_values:new j("float32",e,t)}}},Jk=1e-5,Zk=class extends ft{constructor(e){var n;super(e),(n=this.config).mel_filters??(n.mel_filters=ur(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,"slaney","slaney"));const t=Sr(this.config.win_length,"hann",{periodic:!1});this.window=new Float64Array(this.config.n_fft);const r=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(t,r)}async _extract_fbank_features(e){const t=this.config.preemphasis;e=new Float64Array(e);for(let n=e.length-1;n>=1;--n)e[n]-=t*e[n-1];return await Cr(e,this.window,this.window.length,this.config.hop_length,{fft_length:this.config.n_fft,power:2,mel_filters:this.config.mel_filters,log_mel:"log",mel_floor:-1/0,pad_mode:"constant",center:!0,transpose:!0,mel_offset:2**-24})}async _call(e){kt(e,"ParakeetFeatureExtractor");const t=await this._extract_fbank_features(e),r=Math.floor((e.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),n=t.data;n.fill(0,r*t.dims[1]);const[s,a]=t.dims,o=new Float64Array(a),i=new Float64Array(a);for(let h=0;h1?r-1:1;for(let h=0;h({id:i,start:l*r,end:u*r,confidence:h/(u-l)})))}return n}},eE=class extends ft{constructor(e){super(e);const t=this.config.sampling_rate,r=ur(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,"kaldi",!0);this.mel_filters=r,this.window=Sr(400,"povey",{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(r=>r*32768),Cr(e,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,max_num_frames:t,transpose:!0})}async _call(e,{padding:t=!0,pad_to_multiple_of:r=2,do_normalize_per_mel_bins:n=!0,return_attention_mask:s=!0}={}){kt(e,"SeamlessM4TFeatureExtractor");let a=await this._extract_fbank_features(e,this.config.max_length);if(n){const[g,w]=a.dims,v=a.data;for(let b=0;b0){const k=new Float32Array(w*(g+b));k.set(v),k.fill(this.config.padding_value,v.length);const E=g+b;a=new j(a.type,k,[E,w]),s&&(o=new j("int64",new BigInt64Array(E),[1,E]),o.data.fill(1n,0,g))}}const[i,l]=a.dims,u=this.config.stride;if(i%u!==0)throw new Error(`The number of frames (${i}) must be a multiple of the stride (${u}).`);const f=a.view(1,Math.floor(i/u),l*u),_={input_features:f};if(s){const g=f.dims[1],w=new BigInt64Array(g);if(o){const v=o.data;for(let b=1,k=0;bs+a,0)/e.length,n=e.reduce((s,a)=>s+(a-r)**2,0)/e.length;return e.map(s=>(s-r)/Math.sqrt(n+1e-7))}async _call(e){kt(e,"Wav2Vec2FeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));let t=e;this.config.do_normalize&&(t=this._zero_mean_unit_var_norm(t));const r=[1,t.length];return{input_values:new j("float32",t,r),attention_mask:new j("int64",new BigInt64Array(t.length).fill(1n),r)}}},sE=class extends ft{constructor(e){super(e);const t=this.config.sampling_rate,r=ur(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,"kaldi",!0);this.mel_filters=r,this.window=Sr(400,"hamming",{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(t=>t*32768),Cr(e,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(e){kt(e,"WeSpeakerFeatureExtractor");const t=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){const r=t.mean(1).data,n=t.data,[s,a,o]=t.dims;for(let i=0;in?(e.length>this.config.n_samples&&ge.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`."),r=e.slice(0,n)):(r=new Float32Array(n),r.set(e)),{input_features:(await this._extract_fbank_features(r)).unsqueeze_(0)}}},Zt=class{static async from_pretrained(e,t={}){const r=await Er(e,Bl,!0,t),n=r.feature_extractor_type,s=Zp[n];if(!s)throw new Error(`Unknown feature_extractor_type: '${n}'. Please report this at ${Dl}.`);return new s(r)}},Ks,iE=(Ks=class extends Ne{async _call(e,t=null){const r=this.tokenizer(e),n=t?await this.feature_extractor(t):{};return{...r,...n}}},M(Ks,"tokenizer_class",Oe),M(Ks,"feature_extractor_class",Zt),Ks),el={},Br,am,vr;if(_e.IS_WEB_ENV)Br=(e,t)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this environment.");return new self.OffscreenCanvas(e,t)},vr=self.createImageBitmap,am=self.ImageData;else if(el)vr=async e=>{const r=(await e.metadata()).channels,{data:n,info:s}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),a=new _s(new Uint8ClampedArray(n),s.width,s.height,s.channels);return r!==void 0&&r!==s.channels&&a.convert(r),a};else throw new Error("Unable to load image processing library.");var lE={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},cE=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]),_s=class Qt{constructor(t,r,n,s){this.data=t,this.width=r,this.height=n,this.channels=s}get size(){return[this.width,this.height]}static async read(t){if(t instanceof Qt)return t;if(typeof t=="string"||t instanceof URL)return await this.fromURL(t);if(t instanceof Blob)return await this.fromBlob(t);if(typeof HTMLCanvasElement<"u"&&t instanceof HTMLCanvasElement||typeof OffscreenCanvas<"u"&&t instanceof OffscreenCanvas)return this.fromCanvas(t);throw new Error(`Unsupported input type: ${typeof t}`)}static fromCanvas(t){if(!_e.IS_WEB_ENV)throw new Error("fromCanvas() is only supported in browser environments.");const n=t.getContext("2d").getImageData(0,0,t.width,t.height).data;return new Qt(n,t.width,t.height,4)}static async fromURL(t){const r=await Aa(t);if(r.status!==200)throw new Error(`Unable to read image from "${t}" (${r.status} ${r.statusText})`);const n=await r.blob();return this.fromBlob(n)}static async fromBlob(t){if(_e.IS_WEB_ENV){const r=await vr(t),n=Br(r.width,r.height).getContext("2d");return n.drawImage(r,0,0),new this(n.getImageData(0,0,r.width,r.height).data,r.width,r.height,4)}else{const r=el(await t.arrayBuffer());return await vr(r)}}static fromTensor(t,r="CHW"){if(t.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${t.dims.length} dimensions.`);if(r==="CHW")t=t.transpose(1,2,0);else if(r!=="HWC")throw new Error(`Unsupported channel format: ${r}`);if(!(t.data instanceof Uint8ClampedArray||t.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${t.type}`);switch(t.dims[2]){case 1:case 2:case 3:case 4:return new Qt(t.data,t.dims[1],t.dims[0],t.dims[2]);default:throw new Error(`Unsupported number of channels: ${t.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const t=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let r=0,n=0;r=0?l=n:h=-n,s>=0?u=s:f=-s,i.drawImage(o,l,u,t,r,h,f,t,r),new Qt(i.getImageData(0,0,t,r).data,t,r,4).convert(a)}else{let a=this.toSharp();if(n>=0&&s>=0)a=a.extract({left:Math.floor(n),top:Math.floor(s),width:t,height:r});else if(n<=0&&s<=0){const o=Math.floor(-s),i=Math.floor(-n);a=a.extend({top:o,left:i,right:t-this.width-i,bottom:r-this.height-o})}else{let o=[0,0],i=0;s<0?(o[0]=Math.floor(-s),o[1]=r-this.height-o[0]):i=Math.floor(s);let l=[0,0],u=0;n<0?(l[0]=Math.floor(-n),l[1]=t-this.width-l[0]):u=Math.floor(n),a=a.extend({top:o[0],bottom:o[1],left:l[0],right:l[1]}).extract({left:u,top:i,width:t,height:r})}return await vr(a)}}async toBlob(t="image/png",r=1){if(!_e.IS_WEB_ENV)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:t,quality:r})}toTensor(t="CHW"){let r=new j("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(t!=="HWC")if(t==="CHW")r=r.permute(2,0,1);else throw new Error(`Unsupported channel format: ${t}`);return r}toCanvas(){if(!_e.IS_WEB_ENV)throw new Error("toCanvas() is only supported in browser environments.");const t=this.clone().rgba(),r=Br(t.width,t.height),n=new am(t.data,t.width,t.height);return r.getContext("2d").putImageData(n,0,0),r}split(){const{data:t,width:r,height:n,channels:s}=this,a=t.constructor,o=t.length/s,i=Array.from({length:s},()=>new a(o));for(let l=0;lnew Qt(l,r,n,1))}_update(t,r,n,s=null){return this.data=t,this.width=r,this.height=n,s!==null&&(this.channels=s),this}clone(){return new Qt(this.data.slice(),this.width,this.height,this.channels)}convert(t){if(this.channels===t)return this;switch(t){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(t){if(_e.IS_WEB_ENV){if(_e.IS_WEBWORKER_ENV)throw new Error("Unable to save an image from a Web Worker.");const r=t.split(".").pop().toLowerCase(),n=cE.get(r)??"image/png",s=await this.toBlob(n);return zk(t,s)}else if(_e.IS_FS_AVAILABLE)await this.toSharp().toFile(t);else throw new Error("Unable to save the image because filesystem is disabled in this environment.")}toSharp(){if(_e.IS_WEB_ENV)throw new Error("toSharp() is only supported in server-side environments.");return el(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};_s.read.bind(_s);function t_(e,t,r=0,n=null){const s=e/t;let a=pT(s)*t;return n!==null&&a>n&&(a=Math.floor(s)*t),at&&k.push(C)}else{let C=We(b.data)[1];if(C===l-1||(E=Tn(b.data),E[C]O*f[(G+1)%2])),_.boxes.push(F),_.classes.push(C),_.scores.push(E[C])}}u.push(_)}return u}function im(e,t=null){const r=e.logits,n=r.dims[0];if(t!==null&&t.length!==n)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const s=[];for(let a=0;af[k]&&(f[k]=b[k],_[k]=v)}const g=new Array(i.dims[0]);for(let v=0;v<_.length;++v){const b=_[v];g[b]=b}const w=g.filter(v=>v!==void 0);s.push({segmentation:h,labels:w})}return s}function uE(e,t,r,n){const s=[],a=[],o=[];for(let i=0;ir&&(s.push(u),a.push(_),o.push(h))}return[s,a,o]}function dE(e,t,r,n=.5,s=.8){const a=[];let o=0,i=0;const l=t[r].data;for(let h=0;h=n&&++i;let u=o>0&&i>0;return u&&(u=o/i>s),[u,a]}function hE(e,t,r,n,s,a=null,o=null){const[i,l]=o??e[0].dims,u=new j("int32",new Int32Array(i*l),[i,l]),h=[];if(o!==null)for(let v=0;v_[E]&&(f[E]=v,_[E]=k[E])}let g=0;const w=u.data;for(let v=0;vs?l=Math.floor(s*i/n):s>n&&(i=Math.floor(n*l/s)),await e.resize(l,i,{resample:r}))}async crop_margin(e,t=200){const r=e.clone().grayscale(),n=Ki(r.data)[0],a=We(r.data)[0]-n;if(a===0)return e;const o=t/255;let i=r.width,l=r.height,u=0,h=0;const f=r.data;for(let _=0;_this.preprocess(s)));return{pixel_values:kn(r.map(s=>s.pixel_values),0),original_sizes:r.map(s=>s.original_size),reshaped_input_sizes:r.map(s=>s.reshaped_input_size)}}static async from_pretrained(e,t={}){const r=await Er(e,Jp,!0,t);return new this(r)}},um={};bn(um,{BeitFeatureExtractor:()=>fE,BitImageProcessor:()=>_E,CLIPFeatureExtractor:()=>mE,CLIPImageProcessor:()=>dm,ChineseCLIPFeatureExtractor:()=>pE,ConvNextFeatureExtractor:()=>gE,ConvNextImageProcessor:()=>hm,DINOv3ViTImageProcessor:()=>yE,DPTFeatureExtractor:()=>ME,DPTImageProcessor:()=>pm,DeiTFeatureExtractor:()=>wE,DeiTImageProcessor:()=>fm,DetrFeatureExtractor:()=>vE,DetrImageProcessor:()=>_m,DonutFeatureExtractor:()=>bE,DonutImageProcessor:()=>zl,EfficientNetImageProcessor:()=>xE,GLPNFeatureExtractor:()=>TE,GroundingDinoImageProcessor:()=>kE,Idefics3ImageProcessor:()=>r_,ImageFeatureExtractor:()=>de,ImageProcessor:()=>de,JinaCLIPImageProcessor:()=>CE,LlavaOnevisionImageProcessor:()=>SE,Mask2FormerImageProcessor:()=>PE,MaskFormerFeatureExtractor:()=>AE,MaskFormerImageProcessor:()=>Rl,MobileNetV1FeatureExtractor:()=>FE,MobileNetV1ImageProcessor:()=>mm,MobileNetV2FeatureExtractor:()=>LE,MobileNetV2ImageProcessor:()=>gm,MobileNetV3FeatureExtractor:()=>IE,MobileNetV3ImageProcessor:()=>wm,MobileNetV4FeatureExtractor:()=>OE,MobileNetV4ImageProcessor:()=>vm,MobileViTFeatureExtractor:()=>NE,MobileViTImageProcessor:()=>ym,NougatImageProcessor:()=>DE,OwlViTFeatureExtractor:()=>BE,OwlViTImageProcessor:()=>$l,Owlv2ImageProcessor:()=>zE,Phi3VImageProcessor:()=>$E,PixtralImageProcessor:()=>GE,PvtImageProcessor:()=>VE,Qwen2VLImageProcessor:()=>WE,RTDetrImageProcessor:()=>jE,Sam2ImageProcessor:()=>ci,Sam3ImageProcessor:()=>ci,SamImageProcessor:()=>ci,SapiensFeatureExtractor:()=>qE,SapiensImageProcessor:()=>bm,SegformerFeatureExtractor:()=>HE,SegformerImageProcessor:()=>Mm,SiglipImageProcessor:()=>QE,SmolVLMImageProcessor:()=>r_,Swin2SRImageProcessor:()=>XE,VLMImageProcessor:()=>EE,ViTFeatureExtractor:()=>YE,ViTImageProcessor:()=>xm,VitMatteImageProcessor:()=>KE,VitPoseImageProcessor:()=>JE,YolosFeatureExtractor:()=>ZE,YolosImageProcessor:()=>Tm});var fE=class extends de{},_E=class extends de{},pE=class extends de{},dm=class extends de{},mE=class extends dm{},hm=class extends de{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){var r;const t=(r=this.size)==null?void 0:r.shortest_edge;if(t===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(t<384){const n=Math.floor(t/this.crop_pct),[s,a]=this.get_resize_output_image_size(e,{shortest_edge:n});e=await e.resize(s,a,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}},gE=class extends hm{},fm=class extends de{},wE=class extends fm{},_m=class extends de{async _call(e){const t=await super._call(e),r=[t.pixel_values.dims[0],64,64],n=ct(r,1n);return{...t,pixel_mask:n}}post_process_object_detection(...e){return Ra(...e)}post_process_panoptic_segmentation(...e){return lm(...e)}post_process_instance_segmentation(...e){return cm(...e)}},vE=class extends _m{},yE=class extends de{},zl=class extends de{pad_image(e,t,r,n={}){const[s,a,o]=t;let i=this.image_mean;Array.isArray(this.image_mean)||(i=new Array(o).fill(i));let l=this.image_std;Array.isArray(l)||(l=new Array(o).fill(i));const u=i.map((h,f)=>-h/l[f]);return super.pad_image(e,t,r,{center:!0,constant_values:u,...n})}},bE=class extends zl{},pm=class extends de{},ME=class extends pm{},xE=class extends de{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(t=>t*t))}},TE=class extends de{},kE=class extends de{async _call(e){const t=await super._call(e),r=t.pixel_values.dims,n=Ft([r[0],r[2],r[3]]);return{...t,pixel_mask:n}}},r_=class extends de{constructor(e){super(e),this.do_image_splitting=e.do_image_splitting??!0,this.max_image_size=e.max_image_size}get_resize_for_vision_encoder(e,t){let[r,n]=e.dims.slice(-2);const s=n/r;return n>=r?(n=Math.ceil(n/t)*t,r=Math.floor(n/s),r=Math.ceil(r/t)*t):(r=Math.ceil(r/t)*t,n=Math.floor(r*s),n=Math.ceil(n/t)*t),{height:r,width:n}}async _call(e,{do_image_splitting:t=null,return_row_col_info:r=!1}={}){let n;if(!Array.isArray(e))n=[[e]];else{if(e.length===0||!e[0])throw new Error("No images provided.");Array.isArray(e[0])?n=e:n=[e]}let s=[],a=[],o=[];const i=[],l=[];for(const b of n){let k=await Promise.all(b.map(F=>this.preprocess(F)));i.push(...k.map(F=>F.original_size)),l.push(...k.map(F=>F.reshaped_input_size)),k.forEach(F=>F.pixel_values.unsqueeze_(0));const{longest_edge:E}=this.max_image_size;let C;if(t??this.do_image_splitting){let F=new Array(k.length),O=new Array(k.length);C=await Promise.all(k.map(async(G,T)=>{const V=this.get_resize_for_vision_encoder(G.pixel_values,E),R=await Wr(G.pixel_values,{size:[V.height,V.width]}),{frames:U,num_splits_h:Z,num_splits_w:H}=await this.split_image(R,this.max_image_size);return F[T]=Z,O[T]=H,Re(U,0)})),a.push(F),o.push(O)}else{const F=[E,E];C=await Promise.all(k.map(O=>Wr(O.pixel_values,{size:F}))),a.push(new Array(k.length).fill(0)),o.push(new Array(k.length).fill(0))}s.push(Re(C,0))}const u=s.length,[h,f,_,g]=s[0].dims;let w,v;if(u===1)w=s[0].unsqueeze_(0),v=ct([u,h,_,g],!0);else{const b=Math.max(...s.map(C=>C.dims.at(0)));v=ct([u,b,_,g],!0);const k=v.data,E=b*_*g;for(let C=0;Cr||o>n){i=Math.ceil(a/r),l=Math.ceil(o/n);const u=Math.ceil(a/i),h=Math.ceil(o/l);for(let g=0;gt*this.rescale_factor)}pad_image(e,t,r,n){return super.pad_image(e,t,r,{constant_values:this.constant_values,center:!0,...n})}},CE=class extends de{constructor(e){const{resize_mode:t,fill_color:r,interpolation:n,size:s,...a}=e,o=t==="squash"?{width:s,height:s}:t==="shortest"?{shortest_edge:s}:{longest_edge:s},i=n==="bicubic"?3:2;super({...a,size:o,resample:i,do_center_crop:!0,crop_size:s,do_normalize:!0})}},SE=class extends de{},Rl=class extends de{post_process_panoptic_segmentation(...e){return lm(...e)}post_process_instance_segmentation(...e){return cm(...e)}},AE=class extends Rl{},PE=class extends Rl{},mm=class extends de{},FE=class extends mm{},gm=class extends de{},LE=class extends gm{},wm=class extends de{},IE=class extends wm{},vm=class extends de{},OE=class extends vm{},ym=class extends de{},NE=class extends ym{},DE=class extends zl{},$l=class extends de{post_process_object_detection(...e){return Ra(...e)}},BE=class extends $l{},zE=class extends $l{},vt=336,RE=[2,3],{ceil:ii,floor:on,sqrt:li}=Math,$E=class extends de{constructor(e){super({...e,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0}),this._num_crops=e.num_crops}calc_num_image_tokens_from_image_size(e,t){const{num_img_tokens:r}=this.config;return on((on(t/vt)*on(e/vt)+1)*r+1+(on(t/vt)+1)*li(r))}get_resize_output_image_size(e,t){const r=this._num_crops,[n,s]=e.size;let a=n/s,o=1;for(;o*Math.ceil(o/a)<=r;)o+=1;o-=1;const i=Math.floor(o*336),l=Math.floor(i/a);return[i,l]}pad_image(e,t,r,n={}){const[s,a]=t,o=vt*ii(s/vt),i=vt*ii(a/vt),l=[1,1,1].map((u,h)=>(u-this.image_mean[h])/this.image_std[h]);return super.pad_image(e,t,{width:i,height:o},{center:!0,constant_values:l,...n})}async _call(e,{num_crops:t=null}={}){if(this._num_crops=t??(t=this.config.num_crops),t<4||li(t)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(e)||(e=[e]);const r=e.length,n=await Promise.all(e.map(f=>this.preprocess(f))),s=n.map(f=>f.original_size),a=n.map(f=>f.reshaped_input_size),o=[];for(const{pixel_values:f}of n){f.unsqueeze_(0);const[_,g]=f.dims.slice(-2),w=await Wr(f,{size:[vt,vt],mode:"bicubic"});if(t>0){const v=[],b=li(t),k=on(g/b),E=on(_/b);for(let F=0;Ff.map(_=>vt*ii(_/vt))),u=new j("int64",l.flat(),[r,2]),h=l.map(([f,_])=>this.calc_num_image_tokens_from_image_size(_,f));return{pixel_values:i,original_sizes:s,reshaped_input_sizes:a,image_sizes:u,num_img_tokens:h}}},GE=class extends de{get_resize_output_image_size(e,t){const{longest_edge:r}=t;if(r===void 0)throw new Error("size must contain 'longest_edge'");const[n,s]=e.size,a=Math.max(n,s)/r;let o=n,i=s;a>1&&(o=Math.floor(n/a),i=Math.floor(s/a));const{patch_size:l,spatial_merge_size:u}=this.config;if(!u)throw new Error("config must contain 'spatial_merge_size'");const h=l*u,f=Math.floor((o-1)/h)+1,_=Math.floor((i-1)/h)+1;return[f*h,_*h]}},VE=class extends de{};function UE(e,t,r=28,n=3136,s=784*1280){if(e200)throw new Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(e,t)/Math.min(e,t)}`);let a=Math.round(e/r)*r,o=Math.round(t/r)*r;if(a*o>s){const i=Math.sqrt(e*t/s);a=Math.floor(e/i/r)*r,o=Math.floor(t/i/r)*r}else if(a*oa),0));const u=a.dims[0]/o,h=a.dims[1],f=Math.floor(a.dims[2]/l),_=Math.floor(a.dims[3]/l),g=a.view(u,o,h,Math.floor(f/i),i,l,Math.floor(_/i),i,l).permute(0,3,6,4,7,2,1,5,8).view(u*f*_,h*o*l*l),w=new j("int64",[u,f,_],[1,3]);return{pixel_values:g,image_grid_thw:w,original_sizes:n,reshaped_input_sizes:s}}},jE=class extends de{post_process_object_detection(...e){return Ra(...e)}},ci=class extends de{reshape_input_points(e,t,r,n=!1){e=structuredClone(e);let s=Mf(e);if(s.length===3)n||(s=[1,...s]),e=[e];else if(s.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let a=0;an!==t.dims[s]))throw Error(`The first ${r.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new j("int64",e.flat(1/0).map(BigInt),r)}async _call(e,{input_points:t=null,input_labels:r=null,input_boxes:n=null}={}){const s=await super._call(e);if(t&&(s.input_points=this.reshape_input_points(t,s.original_sizes,s.reshaped_input_sizes)),r){if(!s.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");s.input_labels=this.add_input_labels(r,s.input_points)}return n&&(s.input_boxes=this.reshape_input_points(n,s.original_sizes,s.reshaped_input_sizes,!0)),s}async post_process_masks(e,t,r,{mask_threshold:n=0,binarize:s=!0,pad_size:a=null}={}){const o=[];a=a??this.pad_size??this.size;const i=[a.height,a.width];for(let l=0;ln&&(g[w]=1);f=new j("bool",g,f.dims)}o.push(f)}return o}generate_crop_boxes(e,t,{crop_n_layers:r=0,overlap_ratio:n=512/1500,points_per_crop:s=32,crop_n_points_downscale_factor:a=1}={}){}},bm=class extends de{post_process_semantic_segmentation(...e){return im(...e)}},qE=class extends bm{},Mm=class extends de{post_process_semantic_segmentation(...e){return im(...e)}},HE=class extends Mm{},QE=class extends de{},XE=class extends de{pad_image(e,t,r,n={}){const[s,a,o]=t;return super.pad_image(e,t,{width:a+(r-a%r)%r,height:s+(r-s%r)%r},{mode:"symmetric",center:!1,constant_values:-1,...n})}},xm=class extends de{},YE=class extends xm{},KE=class extends de{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);const r=await Promise.all(e.map(a=>this.preprocess(a))),n=await Promise.all(t.map(a=>this.preprocess(a,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:kn(r.map((a,o)=>Re([a.pixel_values,n[o].pixel_values],0)),0),original_sizes:r.map(a=>a.original_size),reshaped_input_sizes:r.map(a=>a.reshaped_input_size)}}},JE=class extends de{post_process_pose_estimation(e,t,{threshold:r=null}={}){const n=e.tolist(),[s,a,o,i]=e.dims,l=[];for(let u=0;u/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e=="string"&&(e=[e]);const t=[];for(const r of e)if(this.task_prompts_without_inputs.has(r))t.push(this.task_prompts_without_inputs.get(r));else{for(const[n,s]of this.task_prompts_with_input)if(r.includes(n)){t.push(s.replaceAll("{input}",r).replaceAll(n,""));break}t.length!==e.length&&t.push(r)}return t}post_process_generation(e,t,r){const n=this.tasks_answer_post_processing_type.get(t)??"pure_text";e=e.replaceAll("","").replaceAll("","");let s;switch(n){case"pure_text":s=e;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const a=n==="ocr"?"quad_boxes":"bboxes",o=e.matchAll(this.regexes[a]),i=[],l=[];for(const[u,h,...f]of o)i.push(h?h.trim():i.at(-1)??""),l.push(f.map((_,g)=>(Number(_)+.5)/this.size_per_bin*r[g%2]));s={labels:i,[a]:l};break;default:throw new Error(`Task "${t}" (of type "${n}") not yet implemented.`)}return{[t]:s}}async _call(e,t=null,r={}){if(!e&&!t)throw new Error("Either text or images must be provided");const n=await this.image_processor(e,r),s=t?this.tokenizer(this.construct_prompts(t),r):{};return{...n,...s}}},M(Js,"tokenizer_class",Oe),M(Js,"image_processor_class",wt),Js),Nr,t2=(Nr=class extends Ne{constructor(e,t,r){super(e,t,r),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;const{audio_token_id:n,boa_token:s,audio_token:a,eoa_token:o,image_token_id:i,boi_token:l,image_token:u,eoi_token:h}=this.tokenizer.config;this.audio_token_id=n,this.boa_token=s,this.audio_token=a;const f=a.repeat(this.audio_seq_length);this.full_audio_sequence=` + +${s}${f}${o} + +`,this.image_token_id=i,this.boi_token=l,this.image_token=u;const _=u.repeat(this.image_seq_length);this.full_image_sequence=` + +${l}${_}${h} + +`}async _call(e,t=null,r=null,n={}){typeof e=="string"&&(e=[e]);let s;r&&(s=await this.feature_extractor(r,n),e=e.map(i=>i.replaceAll(this.audio_token,this.full_audio_sequence)));let a;return t&&(a=await this.image_processor(t,n),e=e.map(i=>i.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,n),...a,...s}}},M(Nr,"image_processor_class",wt),M(Nr,"feature_extractor_class",Zt),M(Nr,"tokenizer_class",Oe),M(Nr,"uses_processor_config",!0),M(Nr,"uses_chat_template_file",!0),Nr);function r2(e,t){const n=e.dims.at(-1)-1,s=e.tolist();s.fill(!1,0,1),s.fill(!1,n);const a=t.tolist();return s.map((o,i)=>o?i:null).filter(o=>o!==null).map(o=>a[o])}var Zs,n2=(Zs=class extends Ne{async _call(e,t,r={}){const n=e?await this.image_processor(e,r):{};return{...t?this.tokenizer(t,r):{},...n}}post_process_grounded_object_detection(e,t,{box_threshold:r=.25,text_threshold:n=.25,target_sizes:s=null}={}){const{logits:a,pred_boxes:o}=e,i=a.dims[0];if(s!==null&&s.length!==i)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const l=a.dims.at(1),u=a.sigmoid(),h=u.max(-1).tolist(),f=o.tolist().map(g=>g.map(w=>om(w))),_=[];for(let g=0;gC.map((F,O)=>F*w[(O+1)%2])));const v=h[g],b=[],k=[],E=[];for(let C=0;C`+s.repeat(e);o+=` +`}return o+=` +${n}${a}`+s.repeat(e)+`${n}`,o}function a2(e,t,r,n){return`${t}${n}`+r.repeat(e)+`${t}`}function o2(e,t,r,n,s,a){return e===0&&t===0?a2(r,n,s,a):s2(r,e,t,n,s,a)}var es,n_=(es=class extends Ne{constructor(){super(...arguments);M(this,"fake_image_token","");M(this,"image_token","");M(this,"global_img_token","")}async _call(t,r=null,n={}){n.return_row_col_info??(n.return_row_col_info=!0);let s;r&&(s=await this.image_processor(r,n)),Array.isArray(t)||(t=[t]);const a=s.rows??[new Array(t.length).fill(0)],o=s.cols??[new Array(t.length).fill(0)],i=this.config.image_seq_len,l=[],u=[];for(let f=0;fo2(E,w[C],i,this.fake_image_token,this.image_token,this.global_img_token)),b=_.split(this.image_token);if(b.length===0)throw new Error("The image token should be present in the text.");let k=b[0];for(let E=0;Ev.images).flatMap(v=>v.images).map(v=>_s.read(v)));const n=this.tokenizer,s=n.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:r}),a=v=>n.encode(v,{add_special_tokens:!1}),o=s.split(this.image_tag),i=o.length-1;if(t.length!==i)throw new Error(`Number of images provided (${t.length}) does not match number of "${this.image_tag}" image tags (${i})`);const[l,u,h]=n.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let f=a(o[0]),_=new Array(f.length).fill(!1);for(let v=1;v0){const v=await this.image_processor(t);return v.pixel_values.unsqueeze_(0),{...w,...v}}return w}},M(ts,"image_processor_class",wt),M(ts,"tokenizer_class",Oe),M(ts,"uses_processor_config",!0),ts),ea,l2=(ea=class extends Ne{async _call(e=null,t=null,r={}){if(!e&&!t)throw new Error("Either text or images must be provided");const n=e?this.tokenizer(e,r):{},s=t?await this.image_processor(t,r):{};return{...n,...s}}},M(ea,"tokenizer_class",Oe),M(ea,"image_processor_class",wt),ea),rs,c2=(rs=class extends Ne{async _call(e,t=null,r={}){const n=await this.image_processor(e,r);if(t){const[a,o]=n.pixel_values.dims.slice(-2),{image_token:i,patch_size:l,num_additional_image_tokens:u}=this.config,h=Math.floor(a/l)*Math.floor(o/l)+u;t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let f=0;f0?w.reduce((b,k)=>b*k,1):0;l.push(g),i.push(v)}return[s(l),i]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(t=>t.replaceAll(" ",""))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(t=>t.replaceAll(" ",""))}batch_decode([e,t,r]){const[n,s]=this._decode_helper(e,"char"),[a,o]=this._decode_helper(t,"bpe"),[i,l]=this._decode_helper(r,"wp"),u=[],h=[];for(let f=0;fl.includes(ln))?a=t.map(l=>{const u=l.replaceAll(ln,ln.repeat(s)),h=u.lastIndexOf(ln),f=h===-1?0:h+ln.length;return u.slice(0,f)+n+u.slice(f)+` +`}):(ge.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),a=t.map(l=>f2(l,n,s,ln,e.length)));const o=this.tokenizer(a,r);return{...await this.image_processor(e,r),...o}}},M(ns,"tokenizer_class",Oe),M(ns,"image_processor_class",wt),M(ns,"uses_processor_config",!1),ns),a_="<|image|>",p2=/<\|image_\d+\|>/g,sa,m2=(sa=class extends Ne{async _call(e,t=null,{padding:r=!0,truncation:n=!0,num_crops:s=null}={}){Array.isArray(e)||(e=[e]);let a,o;if(t){o=await this.image_processor(t,{num_crops:s});const{num_img_tokens:i}=o,l=e.map((h,f)=>h.split(p2).join(a_.repeat(i[f])));a=this.tokenizer(l,{padding:r,truncation:n});const u=this.tokenizer._tokenizer.token_to_id(a_);a.input_ids.map_(h=>h==u?-h:h)}else a=this.tokenizer(e);return{...a,...o}}},M(sa,"image_processor_class",wt),M(sa,"tokenizer_class",Oe),sa),ss,g2=(ss=class extends Ne{async _call(e,t=null,r={}){const n=await this.image_processor(e,r);if(t){const[a,o]=n.pixel_values.dims.slice(-2),{image_token:i,image_break_token:l,image_end_token:u,patch_size:h,spatial_merge_size:f}=this.config,_=h*f,g=Math.floor(a/_),w=Math.floor(o/_);t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let v=0;v{for(;u.includes("<|image_pad|>");){const h=Number(l[i++].reduce((f,_)=>f*_,1n));u=u.replace("<|image_pad|>","<|placeholder|>".repeat(Math.floor(h/o)))}return u.replaceAll("<|placeholder|>","<|image_pad|>")})}return{...this.tokenizer(e),...n}}},M(aa,"image_processor_class",wt),M(aa,"tokenizer_class",Oe),aa),Em=class extends km{},v2=class extends Em{},_i,Cm=(_i=class extends Ne{async _call(...e){return await this.image_processor(...e)}post_process_masks(...e){return this.image_processor.post_process_masks(...e)}reshape_input_points(...e){return this.image_processor.reshape_input_points(...e)}},M(_i,"image_processor_class",wt),_i),Sm=class extends Cm{},y2=class extends Sm{},oa,b2=(oa=class extends Ne{async _call(e){return await this.feature_extractor(e)}},M(oa,"tokenizer_class",Oe),M(oa,"feature_extractor_class",Zt),oa),as,M2=(as=class extends Ne{async _call(e,t=null,r={}){if(Array.isArray(e))throw new Error("Batched inputs are not supported yet.");let n={};if(t){const a=t.length,{input_features:o}=await this.feature_extractor(t,{...r,max_length:a}),i=Math.round(a/this.config.encoder_ds_factor+1e-4),l=1+Math.ceil(i/this.config.stack_factor);n.audio_token_len=[l],n.audio_values=o;const u=this.config.audio_placeholder;if(!e.includes(u))throw new Error(`The input text does not contain the image token ${u}.`);e=e.replaceAll(u,u.repeat(l))}return{...this.tokenizer(e,{add_special_tokens:!1,...r}),...n}}},M(as,"tokenizer_class",Oe),M(as,"feature_extractor_class",Zt),M(as,"uses_processor_config",!0),as),Qs="[AUDIO]",x2="[BEGIN_AUDIO]",T2=375;function k2(e,t){const r=[];for(let n=0;nk2(g,i)),u=l.map(g=>g.length),h=l.flat(),f=(await Promise.all(h.map(g=>this.feature_extractor(g,r)))).map(g=>g.input_features);n.audio_values=f.length>1?Re(f,0):f[0];let _=a[0];for(let g=0;g1)throw new Error("Batched audio inputs are not supported yet.");t=t[0]}const n=this._pad_audio_streaming(t),a=(await this.feature_extractor(n)).input_features,o=1+o_+Am,i=new BigInt64Array(o),l=new BigInt64Array(o);i[0]=BigInt(C2),l[0]=1n;for(let u=1;u0){if(u>Gf)throw new Error(`The number of external data chunks (${u}) exceeds the maximum allowed value (${Gf}).`);const h=B2(o,u);for(const f of h){const _=`${n.subfolder??""}/${f}`;l.push(new Promise(async(g,w)=>{const v=await Pa(e,_,!0,n,i);g(v instanceof Uint8Array?{path:f,data:v}:f)}))}}else a.externalData!==void 0&&(l=a.externalData.map(async h=>{if(typeof h.data=="string"){const f=await Pa(e,h.data,!0,n);return{...h,data:f}}return h}));return Promise.all(l)}async function $2(e,t,r,n=!1){var C;let s=((C=r.config)==null?void 0:C["transformers.js_config"])??{};const a=CT(r.device??s.device,t,{warn:F=>ge.info(F)}),o=TT(a),i=s.device_config??{};i.hasOwnProperty(a)&&(s={...s,...i[a]});const l=AT(r.dtype??s.dtype,t,a,{configDtype:s.dtype,warn:F=>ge.info(F)});if(Xf.hasOwnProperty(l)){if(a==="webgpu"&&!_e.IS_NODE_ENV&&l===lt.fp16&&!await ST())throw new Error(`The device (${a}) does not support fp16.`)}else throw new Error(`Invalid dtype: ${l}. 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W={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,DecoderOnlyWithoutHead:5,MaskGeneration:6,ImageTextToText:7,Musicgen:8,MultiModality:9,Phi3V:10,AudioTextToText:11,AutoEncoder:12,ImageAudioTextToText:13,Supertonic:14,Chatterbox:15},i_={[W.DecoderOnly]:{can_generate:!0,forward:Kt,prepare_inputs:La},[W.DecoderOnlyWithoutHead]:{can_generate:!1,forward:Kt,prepare_inputs:La},[W.Seq2Seq]:{can_generate:!0,forward:Xs,prepare_inputs:Ia},[W.Vision2Seq]:{can_generate:!0,forward:Xs,prepare_inputs:Ia},[W.Musicgen]:{can_generate:!0,forward:Xs},[W.EncoderDecoder]:{can_generate:!1,forward:Xs},[W.ImageTextToText]:{can_generate:!0,forward:uC,prepare_inputs:Ys},[W.AudioTextToText]:{can_generate:!0,forward:cC,prepare_inputs:Ys},[W.Phi3V]:{can_generate:!0,prepare_inputs:Ys},[W.ImageAudioTextToText]:{can_generate:!0,prepare_inputs:Ys},[W.MultiModality]:{can_generate:!0},[W.AutoEncoder]:{can_generate:!1,forward:lC},[W.Chatterbox]:{can_generate:!0,forward:kr},default:{can_generate:!1,forward:kr}},wn=new Map,Ul=new Map,gn=new Map,P=class extends Vt{constructor(t,r,n){super();M(this,"main_input_name","input_ids");M(this,"forward_params",["input_ids","attention_mask"]);M(this,"_return_dict_in_generate_keys",null);this.config=t,this.sessions=r,this.configs=n;const s=gn.get(this.constructor),a=wn.get(s),o=i_[a]??i_.default;this.can_generate=o.can_generate,this._forward=o.forward,this._prepare_inputs_for_generation=o.prepare_inputs,this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var r;const t=[];for(const n of Object.values(this.sessions))t.push((r=n.release)==null?void 0:r.call(n));return await Promise.all(t)}static async from_pretrained(t,{progress_callback:r=null,config:n=null,cache_dir:s=null,local_files_only:a=!1,revision:o="main",model_file_name:i=null,subfolder:l="onnx",device:u=null,dtype:h=null,use_external_data_format:f=null,session_options:_={}}={}){const g={progress_callback:r,config:n,cache_dir:s,local_files_only:a,revision:o,model_file_name:i,subfolder:l,device:u,dtype:h,use_external_data_format:f,session_options:_},w=gn.get(this),v=wn.get(w);n=g.config=await Fm.from_pretrained(t,g);let b;if(v===W.DecoderOnly)b=await Promise.all([pt(t,{model:g.model_file_name??"model"},g,"model"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.Seq2Seq||v===W.Vision2Seq)b=await Promise.all([pt(t,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},g,"decoder_model_merged"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.MaskGeneration)b=await Promise.all([pt(t,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},g)]);else if(v===W.EncoderDecoder)b=await Promise.all([pt(t,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},g,"decoder_model_merged")]);else if(v===W.ImageTextToText){const k={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};n.is_encoder_decoder&&(k.model="encoder_model"),b=await Promise.all([pt(t,k,g,"decoder_model_merged"),ir(t,{generation_config:"generation_config.json"},g)])}else if(v===W.AudioTextToText){const k={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};b=await Promise.all([pt(t,k,g,"decoder_model_merged"),ir(t,{generation_config:"generation_config.json"},g)])}else if(v===W.ImageAudioTextToText){const k={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};b=await Promise.all([pt(t,k,g),ir(t,{generation_config:"generation_config.json"},g)])}else if(v===W.Musicgen)b=await Promise.all([pt(t,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},g,"decoder_model_merged"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.MultiModality)b=await Promise.all([pt(t,{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"},g,"model"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.Phi3V)b=await Promise.all([pt(t,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},g,"model"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.Chatterbox)b=await Promise.all([pt(t,{embed_tokens:"embed_tokens",speech_encoder:"speech_encoder",model:"language_model",conditional_decoder:"conditional_decoder"},g,"model"),ir(t,{generation_config:"generation_config.json"},g)]);else if(v===W.AutoEncoder)b=await Promise.all([pt(t,{encoder_model:"encoder_model",decoder_model:"decoder_model"},g)]);else if(v===W.Supertonic)b=await Promise.all([pt(t,{text_encoder:"text_encoder",latent_denoiser:"latent_denoiser",voice_decoder:"voice_decoder"},g)]);else{if(v===void 0){const k=w??(n==null?void 0:n.model_type);k!=="custom"&&ge.warn(`Model type for '${k}' not found, assuming encoder-only architecture. Please report this at ${Dl}.`)}b=await Promise.all([pt(t,{model:g.model_file_name??"model"},g)])}return new this(n,...b)}async _call(t){return await this.forward(t)}async forward(t){return await this._forward(this,t)}get generation_config(){var t;return((t=this.configs)==null?void 0:t.generation_config)??null}_get_logits_processor(t,r,n=null){const s=new rl;if(t.repetition_penalty!==null&&t.repetition_penalty!==1&&s.push(new X2(t.repetition_penalty)),t.no_repeat_ngram_size!==null&&t.no_repeat_ngram_size>0&&s.push(new Q2(t.no_repeat_ngram_size)),t.bad_words_ids!==null&&s.push(new J2(t.bad_words_ids,t.eos_token_id)),t.min_length!==null&&t.eos_token_id!==null&&t.min_length>0&&s.push(new Y2(t.min_length,t.eos_token_id)),t.min_new_tokens!==null&&t.eos_token_id!==null&&t.min_new_tokens>0&&s.push(new K2(r,t.min_new_tokens,t.eos_token_id)),t.forced_bos_token_id!==null&&s.push(new W2(t.forced_bos_token_id)),t.forced_eos_token_id!==null&&s.push(new j2(t.max_length,t.forced_eos_token_id)),t.suppress_tokens!==null&&s.push(new q2(t.suppress_tokens)),t.begin_suppress_tokens!==null){const a=r>1||t.forced_bos_token_id===null?r:r+1;s.push(new Im(t.begin_suppress_tokens,a))}return t.guidance_scale!==null&&t.guidance_scale>1&&s.push(new Z2(t.guidance_scale)),t.temperature===0&&t.do_sample&&(ge.warn("`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`."),t.do_sample=!1),t.do_sample&&t.temperature!==null&&t.temperature!==1&&s.push(new eC(t.temperature)),n!==null&&s.extend(n),s}_prepare_generation_config(t,r,n=Om){const s={...this.config};for(const o of["decoder","generator","text_config"])o in s&&Object.assign(s,s[o]);const a=new n(s);return Object.assign(a,this.generation_config??{}),t&&Object.assign(a,t),r&&Object.assign(a,mt(r,Object.getOwnPropertyNames(a))),a}_get_stopping_criteria(t,r=null){const n=new tC;return t.max_length!==null&&n.push(new rC(t.max_length,this.config.max_position_embeddings??null)),t.eos_token_id!==null&&n.push(new nC(t.eos_token_id)),r&&n.extend(r),n}_validate_model_class(){if(!this.can_generate){const t=[us.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,us.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,us.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,us.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES].filter(Boolean),r=gn.get(this.constructor),n=new Set,s=this.config.model_type;for(const o of t){const i=o==null?void 0:o.get(s);i&&n.add(i)}let a=`The current model class (${r}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw n.size>0&&(a+=` Please use the following class instead: ${[...n].join(", ")}`),Error(a)}}prepare_inputs_for_generation(...t){if(!this._prepare_inputs_for_generation)throw new Error("prepare_inputs_for_generation is not implemented for this model.");return this._prepare_inputs_for_generation(this,...t)}_update_model_kwargs_for_generation({generated_input_ids:t,outputs:r,model_inputs:n,is_encoder_decoder:s}){return n.past_key_values=this.getPastKeyValues(r,n.past_key_values),n.input_ids=new j("int64",t.flat(),[t.length,1]),s||(n.attention_mask=Re([n.attention_mask,Ft([n.attention_mask.dims[0],1])],1)),n.position_ids=null,n}_prepare_model_inputs({inputs:t,bos_token_id:r,model_kwargs:n}){const s=mt(n,this.forward_params),a=this.main_input_name;if(a in s){if(t)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else s[a]=t;return{inputs_tensor:s[a],model_inputs:s,model_input_name:a}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:t,model_inputs:r,model_input_name:n,generation_config:s}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!r.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:o,pixel_values:i,attention_mask:l,...u}=r,h=await this._prepare_inputs_embeds(r);r={...u,...mt(h,["inputs_embeds","attention_mask"])}}let{last_hidden_state:a}=await kr(this,r);if(s.guidance_scale!==null&&s.guidance_scale>1)a=Re([a,Zi(a,0)],0),"attention_mask"in r&&(r.attention_mask=Re([r.attention_mask,qp(r.attention_mask)],0));else if(r.decoder_input_ids){const o=nl(r.decoder_input_ids).dims[0];if(o!==a.dims[0]){if(a.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${a.dims[0]}) than the decoder inputs (${o}).`);a=Re(Array.from({length:o},()=>a),0)}}return r.encoder_outputs=a,r}_prepare_decoder_input_ids_for_generation({batch_size:t,model_input_name:r,model_kwargs:n,decoder_start_token_id:s,bos_token_id:a,generation_config:o}){let{decoder_input_ids:i,...l}=n;if(!(i instanceof j)){if(i)Array.isArray(i[0])||(i=Array.from({length:t},()=>i));else if(s??(s=a),this.config.model_type==="musicgen")i=Array.from({length:t*this.config.decoder.num_codebooks},()=>[s]);else if(Array.isArray(s)){if(s.length!==t)throw new Error(`\`decoder_start_token_id\` expcted to have length ${t} but got ${s.length}`);i=s}else i=Array.from({length:t},()=>[s]);i=nl(i)}return n.decoder_attention_mask=Wp(i),{input_ids:i,model_inputs:l}}async generate({inputs:t=null,generation_config:r=null,logits_processor:n=null,stopping_criteria:s=null,streamer:a=null,...o}){this._validate_model_class(),r=this._prepare_generation_config(r,o);let{inputs_tensor:i,model_inputs:l,model_input_name:u}=this._prepare_model_inputs({inputs:t,model_kwargs:o});const h=this.config.is_encoder_decoder;h&&("encoder_outputs"in l||(l=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:i,model_inputs:l,model_input_name:u,generation_config:r})));let f;h?{input_ids:f,model_inputs:l}=this._prepare_decoder_input_ids_for_generation({batch_size:l[u].dims.at(0),model_input_name:u,model_kwargs:l,decoder_start_token_id:r.decoder_start_token_id,bos_token_id:r.bos_token_id,generation_config:r}):f=l[u];let _=f.dims.at(-1);r.max_new_tokens!==null&&(r.max_length=_+r.max_new_tokens);const g=this._get_logits_processor(r,_,n),w=this._get_stopping_criteria(r,s),v=l[u].dims.at(0),b=$a.getSampler(r),k=new Array(v).fill(0),E=f.tolist();a&&a.put(E);let C,F={},O={};for(;;){if(l=this.prepare_inputs_for_generation(E,l,r),C=await this.forward(l),r.return_dict_in_generate)if(r.output_attentions){const H=this.getAttentions(C);for(const D in H)D in F||(F[D]=[]),F[D].push(H[D])}else this._return_dict_in_generate_keys&&Object.assign(O,mt(C,this._return_dict_in_generate_keys));const V=C.logits.slice(null,-1,null).to("float32"),R=g(E,V),U=[];for(let H=0;HH))break;l=this._update_model_kwargs_for_generation({generated_input_ids:U,outputs:C,model_inputs:l,is_encoder_decoder:h})}a&&a.end();const G=this.getPastKeyValues(C,l.past_key_values,!0),T=new j("int64",E.flat(),[E.length,E[0].length]);if(r.return_dict_in_generate)return{sequences:T,past_key_values:G,...F,...O};for(const V of Object.values(C))V.location==="gpu-buffer"&&V.dispose();return T}getPastKeyValues(t,r,n=!1){const s=Object.create(null);for(const a in t)if(a.startsWith("present")){const o=a.replace("present_ssm","past_ssm").replace("present_conv","past_conv").replace("present_recurrent","past_recurrent").replace("present","past_key_values"),i=a.includes("encoder");if(i&&r?s[o]=r[o]:s[o]=t[a],r&&(!i||n)){const l=r[o];l.location==="gpu-buffer"&&l.dispose()}}return s}getAttentions(t){const r={};for(const n of["cross_attentions","encoder_attentions","decoder_attentions"])for(const s in t)s.startsWith(n)&&(n in r||(r[n]=[]),r[n].push(t[s]));return r}addPastKeyValues(t,r){var n,s,a;if(r)Object.assign(t,r);else{const o=this.sessions.decoder_model_merged??this.sessions.model,i=((s=(n=t[this.main_input_name]??t.attention_mask)==null?void 0:n.dims)==null?void 0:s[0])??1,l=((a=o==null?void 0:o.config)==null?void 0:a.kv_cache_dtype)??"float32",u=l==="float16"?Fa.float16:Fa.float32,h=Gl(this.config,{batch_size:i});for(const f in h){const _=h[f].reduce((g,w)=>g*w,1);t[f]=new j(l,new u(_),h[f])}}}async encode_image({pixel_values:t}){return(await Me(this.sessions.vision_encoder,{pixel_values:t})).image_features}async encode_text({input_ids:t}){return(await Me(this.sessions.embed_tokens,{input_ids:t})).inputs_embeds}async encode_audio({audio_values:t}){return(await Me(this.sessions.audio_encoder,{audio_values:t})).audio_features}};async function Xs(e,t){let{encoder_outputs:r,input_ids:n,decoder_input_ids:s,...a}=t;if(!r){const o=mt(t,e.sessions.model.inputNames);r=(await kr(e,o)).last_hidden_state}return a.input_ids=s,a.encoder_hidden_states=r,e.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(a.encoder_attention_mask=t.attention_mask),await Kt(e,a,!0)}async function kr(e,t){const r=e.sessions.model,n=mt(t,r.inputNames);if(r.inputNames.includes("inputs_embeds")&&!n.inputs_embeds){if(!t.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");n.inputs_embeds=await e.encode_text({input_ids:t.input_ids})}if(r.inputNames.includes("token_type_ids")&&!n.token_type_ids){if(!n.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");n.token_type_ids=qp(n.input_ids)}if(r.inputNames.includes("pixel_mask")&&!n.pixel_mask){if(!n.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const s=n.pixel_values.dims;n.pixel_mask=Ft([s[0],s[2],s[3]])}return await Me(r,n)}async function lC(e,t){const r=await e.encode(t);return await e.decode(r)}async function Kt(e,t,r=!1){const n=e.sessions[r?"decoder_model_merged":"model"],{past_key_values:s,...a}=t;if(n.inputNames.includes("use_cache_branch")&&(a.use_cache_branch=Dm(!!s)),n.inputNames.includes("position_ids")&&a.attention_mask&&!a.position_ids){const i=["paligemma","gemma3_text","gemma3"].includes(e.config.model_type)?1:0;a.position_ids=dC(a,s,i)}e.addPastKeyValues(a,s);const o=mt(a,n.inputNames);return await Me(n,o)}async function Bm(e,{encode_function:t,merge_function:r,modality_input_name:n,modality_output_name:s,input_ids:a=null,attention_mask:o=null,position_ids:i=null,inputs_embeds:l=null,past_key_values:u=null,generation_config:h=null,logits_processor:f=null,..._}){const g=_[n];if(!l){if(l=await e.encode_text({input_ids:a,..._}),g&&a.dims[1]!==1){const v=await t({[n]:g,..._});({inputs_embeds:l,attention_mask:o}=r({[s]:v,inputs_embeds:l,input_ids:a,attention_mask:o}))}else if(u&&g&&a.dims[1]===1){const v=a.dims[1],b=ps(u);o=Re([Ft([a.dims[0],b]),o.slice(null,[o.dims[1]-v,o.dims[1]])],1)}}if(!i&&["qwen2_vl","qwen2_5_vl","qwen2_5_vl_text","qwen3_vl","qwen3_vl_text","qwen3_5","qwen3_5_text","qwen3_5_moe","qwen3_5_moe_text"].includes(e.config.model_type)){const{image_grid_thw:v,video_grid_thw:b}=_;[i]=e.get_rope_index(a,v,b,o)}return await Kt(e,{inputs_embeds:l,past_key_values:u,attention_mask:o,position_ids:i,generation_config:h,logits_processor:f},!0)}async function cC(e,t){return await Bm(e,{...t,modality_input_name:"audio_values",modality_output_name:"audio_features",encode_function:e.encode_audio.bind(e),merge_function:e._merge_input_ids_with_audio_features.bind(e)})}async function uC(e,t){return await Bm(e,{...t,modality_input_name:"pixel_values",modality_output_name:"image_features",encode_function:e.encode_image.bind(e),merge_function:e._merge_input_ids_with_image_features.bind(e)})}function zm(e,t=0){const[r,n]=e.dims,s=e.data,a=new BigInt64Array(s.length);for(let o=0;oa.dims[1]||s[s.at(-1)])),{...r,decoder_input_ids:nl(t)}}function Ys(e,...t){return e.config.is_encoder_decoder?Ia(e,...t):La(e,...t)}function Rm({modality_token_id:e,inputs_embeds:t,modality_features:r,input_ids:n,attention_mask:s}){const a=n.tolist().map(u=>u.reduce((h,f,_)=>(f==e&&h.push(_),h),[])),o=a.reduce((u,h)=>u+h.length,0),i=r.dims[0];if(o!==i)throw new Error(`Number of tokens and features do not match: tokens: ${o}, features ${i}`);let l=0;for(let u=0;u{const s=await Er(e,t[n],!1,r);return[n,s]})))}var 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P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","inputs_embeds","attention_mask","position_ids","audio_values","exaggeration","audio_features","audio_tokens","speaker_embeddings","speaker_features","past_key_values"]);M(this,"main_input_name","input_ids");M(this,"_return_dict_in_generate_keys",["audio_tokens","speaker_embeddings","speaker_features"])}},Vm=class extends Gm{async encode_speech(e){return Me(this.sessions.speech_encoder,{audio_values:e})}async forward({input_ids:e=null,attention_mask:t=null,audio_values:r=null,exaggeration:n=null,position_ids:s=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:i=null,logits_processor:l=null,audio_features:u=null,audio_tokens:h=null,speaker_embeddings:f=null,speaker_features:_=null,...g}){let w;if(!a){const b=this.sessions.embed_tokens.inputNames,k={input_ids:e};if(b.includes("exaggeration")){if(!(n instanceof j)){const E=e.dims[0];if(n==null)n=ct([E],.5);else if(typeof n=="number")n=ct([E],n);else if(Array.isArray(n))n=new j("float32",n,[E]);else throw new Error("Unsupported type for `exaggeration` input")}k.exaggeration=n}if(b.includes("position_ids")&&(k.position_ids=s),{inputs_embeds:a}=await Me(this.sessions.embed_tokens,k),u&&h&&f&&_&&(w={audio_features:u,audio_tokens:h,speaker_embeddings:f,speaker_features:_}),w||r)w??(w=await this.encode_speech(r)),a=Re([w.audio_features,a],1),t=Ft([a.dims[0],a.dims[1]]);else{const E=a.dims[1];if(!o||E!==1)throw new Error("Incorrect state encountered during generation.");const C=Object.values(o)[0].dims.at(-2);t=Ft([a.dims[0],C+E])}}return{...await Kt(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,generation_config:i,logits_processor:l},!1),...w}}prepare_inputs_for_generation(e,t,r){if(!t.position_ids&&this.sessions.embed_tokens.inputNames.includes("position_ids"))if(t.input_ids.dims[1]===1){const n=Array.from({length:e.length},(s,a)=>e[a].length-e[a].findLastIndex(o=>o==l_)-1);t.position_ids=new j("int64",n,[e.length,1])}else{const s=t.input_ids.tolist().map(a=>{let o=0;return a.map(i=>i>=l_?0:o++)});t.position_ids=new j("int64",s.flat(),t.input_ids.dims)}return t.input_ids.dims[1]===1&&(delete t.audio_values,delete t.audio_features,delete t.audio_tokens,delete t.speaker_embeddings,delete t.speaker_features),La(this,e,t)}async generate(e){const{sequences:t,audio_tokens:r,speaker_embeddings:n,speaker_features:s}=await super.generate({...e,return_dict_in_generate:!0}),a=t.slice(null,[e.input_ids.dims[1],-1]),o=ct([a.dims[0],3],jC),i=Re([r,a,o],1),{waveform:l}=await Me(this.sessions.conditional_decoder,{speech_tokens:i,speaker_features:s,speaker_embeddings:n});return l}},Um=class extends P{},qC=class extends Um{},Va=class extends P{},HC=class extends Va{},Wm=class extends Va{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"text_model"})}},jm=class extends Va{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"audio_model"})}},Kr=class extends P{},QC=class extends Kr{},XC=class extends Kr{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"text_model"})}},qm=class extends Kr{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"text_model"})}},YC=class extends Kr{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"vision_model"})}},KC=class extends Kr{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"vision_model"})}},Zl=class extends P{},JC=class extends Zl{},ZC=class extends Zl{},ec=class extends P{},eS=class extends ec{},tS=class extends ec{},tc=class extends P{},rS=class extends tc{},nS=class extends tc{},rc=class extends P{},sS=class extends rc{},aS=class extends rc{},Sn=class extends P{},oS=class extends Sn{},iS=class extends Sn{async _call(e){return new Ye(await super._call(e))}},lS=class extends Sn{async _call(e){return new oe(await super._call(e))}},cS=class extends Sn{async _call(e){return new qe(await super._call(e))}},uS=class extends Sn{async _call(e){return new ut(await super._call(e))}},nc=class extends P{},dS=class extends nc{},hS=class extends nc{async _call(e){return new oe(await super._call(e))}},sc=class extends P{},fS=class extends sc{},_S=class extends sc{async _call(e){return new oe(await super._call(e))}},ac=class extends P{},pS=class extends ac{},mS=class extends ac{async _call(e){return new bs(await super._call(e))}},bs=class extends je{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},oc=class extends P{},gS=class extends oc{},wS=class extends oc{async _call(e){return new bs(await super._call(e))}},Hm=class extends je{constructor({audio_codes:e}){super(),this.audio_codes=e}},Qm=class extends je{constructor({audio_values:e}){super(),this.audio_values=e}},Ua=class extends P{constructor(){super(...arguments);M(this,"main_input_name","input_values");M(this,"forward_params",["input_values"])}},vS=class extends Ua{async encode(e){return new Hm(await Me(this.sessions.encoder_model,e))}async decode(e){return new Qm(await Me(this.sessions.decoder_model,e))}},Xm=class extends Ua{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"encoder_model"})}},Ym=class extends Ua{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"decoder_model"})}},An=class extends P{},yS=class extends An{},bS=class extends An{async _call(e){return new Ye(await super._call(e))}},MS=class extends An{async _call(e){return new oe(await super._call(e))}},xS=class extends An{async _call(e){return new qe(await super._call(e))}},TS=class extends An{async _call(e){return new ut(await super._call(e))}},Pn=class extends P{},kS=class extends Pn{},ES=class extends Pn{async _call(e){return new Ye(await super._call(e))}},CS=class extends Pn{async _call(e){return new oe(await super._call(e))}},SS=class extends Pn{async _call(e){return new qe(await super._call(e))}},AS=class extends Pn{async _call(e){return new ut(await super._call(e))}},Km=class extends P{},PS=class extends Km{},ic=class extends P{},FS=class extends ic{},LS=class extends ic{async _call(e){return new oe(await super._call(e))}},Jm=class extends P{},IS=class extends Jm{},Zm=class extends P{},OS=class extends Zm{},Wa=class extends P{},NS=class extends Wa{},DS=class extends Wa{async _call(e){return new lc(await super._call(e))}},BS=class extends Wa{async _call(e){return new eg(await super._call(e))}},lc=class extends je{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},eg=class extends je{constructor({logits:e,pred_boxes:t,pred_masks:r}){super(),this.logits=e,this.pred_boxes=t,this.pred_masks=r}},cc=class extends P{},zS=class extends cc{},RS=class extends cc{async _call(e){return new oe(await super._call(e))}},uc=class extends P{},$S=class extends uc{},GS=class extends uc{async _call(e){return new oe(await super._call(e))}},tg=class extends P{},VS=class extends tg{},rg=class extends P{},US=class extends rg{},Fn=class extends P{},WS=class extends Fn{},jS=class extends Fn{async _call(e){return new oe(await super._call(e))}},qS=class extends Fn{async _call(e){return new qe(await super._call(e))}},HS=class extends Fn{async _call(e){return new ut(await super._call(e))}},QS=class extends Fn{async _call(e){return new Ye(await super._call(e))}},ng=class extends P{},XS=class extends ng{},dc=class extends P{},YS=class extends dc{},KS=class extends dc{},hc=class extends P{},JS=class extends hc{},ZS=class extends hc{async _call(e){return new oe(await super._call(e))}},Ln=class extends P{},eA=class extends Ln{},tA=class extends Ln{async _call(e){return new Ye(await super._call(e))}},rA=class extends Ln{async _call(e){return new oe(await super._call(e))}},nA=class extends Ln{async _call(e){return new qe(await super._call(e))}},sA=class extends Ln{async _call(e){return new ut(await super._call(e))}},fc=class extends P{},aA=class extends fc{},oA=class extends fc{},Ms=class extends P{},iA=class extends Ms{},lA=class extends Ms{async _call(e){return new Ye(await super._call(e))}},cA=class extends Ms{async _call(e){return new oe(await super._call(e))}},uA=class extends Ms{async _call(e){return new qe(await super._call(e))}},_c=class extends P{},dA=class extends _c{},hA=class extends _c{},pc=class extends P{},fA=class extends pc{},_A=class extends pc{},mc=class extends P{},pA=class extends mc{},mA=class extends mc{},gc=class extends P{},gA=class extends gc{},wA=class extends gc{async _call(e){return new oe(await super._call(e))}},sg=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"]);M(this,"main_input_name","inputs_embeds")}},vA=class extends sg{_merge_input_ids_with_image_features({inputs_embeds:e,image_features:t,input_ids:r,attention_mask:n}){return{inputs_embeds:Re([t,e],1),attention_mask:Re([Ft(t.dims.slice(0,2)),n],1)}}async _prepare_inputs_embeds({input_ids:e,pixel_values:t,inputs_embeds:r,attention_mask:n}){if(!e&&!t)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let s,a;return e&&(s=await this.encode_text({input_ids:e})),t&&(a=await this.encode_image({pixel_values:t})),s&&a?{inputs_embeds:r,attention_mask:n}=this._merge_input_ids_with_image_features({inputs_embeds:s,image_features:a,input_ids:e,attention_mask:n}):r=s||a,{inputs_embeds:r,attention_mask:n}}async forward({input_ids:e,pixel_values:t,attention_mask:r,decoder_input_ids:n,decoder_attention_mask:s,encoder_outputs:a,past_key_values:o,inputs_embeds:i,decoder_inputs_embeds:l}){if(i||({inputs_embeds:i,attention_mask:r}=await this._prepare_inputs_embeds({input_ids:e,pixel_values:t,inputs_embeds:i,attention_mask:r})),!a){let{last_hidden_state:h}=await kr(this,{inputs_embeds:i,attention_mask:r});a=h}if(!l){if(!n)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");l=await this.encode_text({input_ids:n})}return await Kt(this,{inputs_embeds:l,attention_mask:s,encoder_attention_mask:r,encoder_hidden_states:a,past_key_values:o},!0)}},wc=class extends P{},yA=class extends wc{},bA=class extends wc{},vc=class extends P{},MA=class extends vc{},xA=class extends vc{},yc=class extends P{},TA=class extends yc{},kA=class extends yc{},ag=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","attention_mask","inputs_embeds","per_layer_inputs","position_ids","pixel_values","input_features","input_features_mask","past_key_values"])}},og=class extends ag{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:r=null,input_features:n=null,input_features_mask:s=null,position_ids:a=null,inputs_embeds:o=null,per_layer_inputs:i=null,past_key_values:l=null,generation_config:u=null,logits_processor:h=null,...f}){if((!o||!i)&&({inputs_embeds:o,per_layer_inputs:i}=await Me(this.sessions.embed_tokens,{input_ids:e}),e.dims[1]!==1)){if(r){const{image_features:g}=await Me(this.sessions.vision_encoder,{pixel_values:r});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_image_features({image_features:g,inputs_embeds:o,input_ids:e,attention_mask:t}))}if(n){const{audio_features:g}=await Me(this.sessions.audio_encoder,{input_features:n,input_features_mask:s});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_audio_features({audio_features:g,inputs_embeds:o,input_ids:e,attention_mask:t}))}}return await Kt(this,{inputs_embeds:o,per_layer_inputs:i,past_key_values:l,attention_mask:t,position_ids:a,generation_config:u,logits_processor:h},!0)}_merge_input_ids_with_image_features(e){const t=e.image_features.dims.at(-1),r=e.image_features.view(-1,t);return vs({image_token_id:this.config.image_token_id,...e,image_features:r})}_merge_input_ids_with_audio_features(e){const t=e.audio_features.dims.at(-1),r=e.audio_features.view(-1,t);return $m({audio_token_id:this.config.audio_token_id,...e,audio_features:r})}},bc=class extends P{},EA=class extends bc{},CA=class extends bc{},Mc=class extends P{},SA=class extends Mc{},AA=class extends Mc{},xc=class extends P{},PA=class extends xc{},FA=class extends xc{},Tc=class extends P{},LA=class extends Tc{},IA=class extends Tc{},kc=class extends P{},OA=class extends kc{},NA=class extends kc{},Ec=class extends P{},DA=class extends Ec{},BA=class extends Ec{},Cc=class extends P{},zA=class extends Cc{},RA=class extends Cc{},Sc=class extends P{},$A=class extends Sc{},GA=class extends Sc{},Ac=class extends P{},VA=class extends Ac{},UA=class extends Ac{},Pc=class extends P{},WA=class extends Pc{},jA=class extends Pc{},ig=class extends P{},qA=class extends ig{},lg=class extends P{},HA=class extends lg{},Fc=class extends P{},QA=class extends Fc{},XA=class extends Fc{},Lc=class extends P{},YA=class extends Lc{},KA=class extends Lc{async _call(e){return new oe(await super._call(e))}},Ar=class extends P{},JA=class extends Ar{},ZA=class extends Ar{async _call(e){return new Yr(await super._call(e))}},eP=class extends Ar{async _call(e){return new oe(await super._call(e))}},tP=class extends Ar{async _call(e){return new qe(await super._call(e))}},rP=class extends P{},nP=class extends Ar{},sP=class extends Ar{async _call(e){return new Yr(await super._call(e))}},aP=class extends Ar{async _call(e){return new oe(await super._call(e))}},Ic=class extends P{},oP=class extends Ic{},iP=class extends Ic{},cg=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"])}},ug=class extends cg{async encode_image({pixel_values:e,pixel_attention_mask:t}){return(await Me(this.sessions.vision_encoder,{pixel_values:e,pixel_attention_mask:t})).image_features}_merge_input_ids_with_image_features(e){const t=e.image_features.dims.at(-1),r=e.image_features.view(-1,t);return vs({image_token_id:this.config.image_token_id,...e,image_features:r})}},lP=class extends ug{},Oc=class extends P{},cP=class extends Oc{},uP=class extends Oc{async _call(e){return new oe(await super._call(e))}},Nc=class extends P{},dP=class extends Nc{},hP=class extends Nc{},ja=class extends P{},fP=class extends ja{async forward(e){const t=!e.input_ids,r=!e.pixel_values;if(t&&r)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(t&&(e.input_ids=Ft([e.pixel_values.dims[0],1])),r){const{image_size:l}=this.config.vision_config;e.pixel_values=ct([0,3,l,l],0)}const{text_embeddings:n,image_embeddings:s,l2norm_text_embeddings:a,l2norm_image_embeddings:o}=await super.forward(e),i={};return t||(i.text_embeddings=n,i.l2norm_text_embeddings=a),r||(i.image_embeddings=s,i.l2norm_image_embeddings=o),i}},dg=class extends ja{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"text_model"})}},_P=class extends ja{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"vision_model"})}},Dc=class extends P{},pP=class extends Dc{},mP=class extends Dc{},Bc=class extends P{},gP=class extends Bc{},wP=class extends Bc{},zc=class extends P{},vP=class extends zc{},yP=class extends zc{},hg=class extends P{},bP=class extends hg{},fg=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}},Oa=class extends fg{_merge_input_ids_with_image_features(e){const t=e.image_features.dims.at(-1),r=e.image_features.view(-1,t);return vs({image_token_id:this.config.image_token_index,...e,image_features:r})}},MP=class extends Oa{},xP=class extends Oa{},Rc=class extends P{},TP=class extends Rc{},kP=class extends Rc{},$c=class extends P{},EP=class extends $c{},CP=class extends $c{},Gc=class extends P{},SP=class extends Gc{},AP=class extends Gc{},Vc=class extends P{},PP=class extends Vc{},FP=class extends Vc{},xs=class extends P{},LP=class extends xs{},IP=class extends xs{},OP=class extends xs{async _call(e){return new oe(await super._call(e))}},NP=class extends xs{},_g=class extends P{},DP=class extends _g{},pg=class extends P{},BP=class extends pg{},mg=class extends je{constructor({char_logits:e,bpe_logits:t,wp_logits:r}){super(),this.char_logits=e,this.bpe_logits=t,this.wp_logits=r}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},gg=class extends P{},zP=class extends gg{async _call(e){return new mg(await super._call(e))}},wg=class extends je{constructor({audio_codes:e}){super(),this.audio_codes=e}},vg=class extends je{constructor({audio_values:e}){super(),this.audio_values=e}},qa=class extends P{constructor(){super(...arguments);M(this,"main_input_name","input_values");M(this,"forward_params",["input_values"])}},RP=class extends qa{async encode(e){return new wg(await Me(this.sessions.encoder_model,e))}async decode(e){return new vg(await Me(this.sessions.decoder_model,e))}},yg=class extends qa{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"encoder_model"})}},bg=class extends qa{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"decoder_model"})}},Uc=class extends P{},$P=class extends Uc{},GP=class extends Uc{},Ts=class extends P{},VP=class extends Ts{},UP=class extends Ts{async _call(e){return new Ye(await super._call(e))}},WP=class extends Ts{async _call(e){return new oe(await super._call(e))}},jP=class extends Ts{async _call(e){return new ut(await super._call(e))}},Wc=class extends P{},qP=class extends Wc{},HP=class extends Wc{},Ha=class extends P{},QP=class extends Ha{},XP=class extends Ha{async _call(e){return new oe(await super._call(e))}},YP=class extends Ha{},Qa=class extends P{},KP=class extends Qa{},JP=class extends Qa{async _call(e){return new oe(await super._call(e))}},ZP=class extends Qa{},Xa=class extends P{},eF=class extends Xa{},tF=class extends Xa{async _call(e){return new oe(await super._call(e))}},rF=class extends Xa{},Ya=class extends P{},nF=class extends Ya{},sF=class extends Ya{async _call(e){return new oe(await super._call(e))}},aF=class extends Ya{},jc=class extends P{},oF=class extends jc{},iF=class extends jc{async _call(e){return new oe(await super._call(e))}},qc=class extends P{},lF=class extends qc{},cF=class extends qc{async _call(e){return new oe(await super._call(e))}},ks=class extends P{},uF=class extends ks{},dF=class extends ks{async _call(e){return new Ye(await super._call(e))}},hF=class extends ks{async _call(e){return new oe(await super._call(e))}},fF=class extends ks{async _call(e){return new qe(await super._call(e))}},Hc=class extends P{},_F=class extends Hc{},pF=class extends Hc{},Qc=class extends P{constructor(){super(...arguments);M(this,"requires_attention_mask",!1);M(this,"main_input_name","input_values");M(this,"forward_params",["input_values","decoder_input_ids","past_key_values"])}},mF=class extends Qc{},gF=class extends Qc{},In=class extends P{},wF=class extends In{},vF=class extends In{async _call(e){return new Ye(await super._call(e))}},yF=class extends In{async _call(e){return new oe(await super._call(e))}},bF=class extends In{async _call(e){return new qe(await super._call(e))}},MF=class extends In{async _call(e){return new ut(await super._call(e))}},Xc=class extends P{},xF=class extends Xc{},TF=class extends Xc{},Yc=class extends P{},kF=class extends Yc{},EF=class extends Yc{},Mg=class extends P{},CF=class extends Mg{constructor(...t){super(...t);M(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(t){const r=this._generation_mode??"text";let n;if(r==="text"||!t.past_key_values){const l=this.sessions.prepare_inputs_embeds,u=mt(t,l.inputNames);n=await Me(l,u)}else{const l=this.sessions.gen_img_embeds,u=mt({image_ids:t.input_ids},l.inputNames);n=await Me(l,u)}const s={...t,...n},a=await Kt(this,s),o=this.sessions[r==="text"?"lm_head":"gen_head"];if(!o)throw new Error(`Unable to find "${o}" generation head`);const i=await Me(o,mt(a,o.inputNames));return{...n,...a,...i}}prepare_inputs_for_generation(t,r,n){const s=!!r.past_key_values;return n.guidance_scale!==null&&n.guidance_scale>1&&(s?r.input_ids=Re([r.input_ids,r.input_ids],0):(r.input_ids=Re([r.input_ids,Zi(r.input_ids,BigInt(n.pad_token_id))],0),r.attention_mask=Re([r.attention_mask,Zi(r.attention_mask,0n)],0))),(s||!r.pixel_values)&&(r.pixel_values=ct([0,0,3,384,384],1)),s&&(r.images_seq_mask=new j("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),r.images_emb_mask=new j("bool",new Array(0).fill(!1),[1,1,0])),r}async generate(t){return this._generation_mode="text",super.generate(t)}async generate_images(t){this._generation_mode="image";const r=(t.inputs??t[this.main_input_name]).dims[1],s=(await super.generate(t)).slice(null,[r,null]),a=this.sessions.image_decode,{decoded_image:o}=await Me(a,{generated_tokens:s}),i=o.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),l=[];for(const u of i){const h=_s.fromTensor(u);l.push(h)}return l}},Kc=class extends P{},SF=class extends Kc{},AF=class extends Kc{},xg=class extends P{constructor(){super(...arguments);M(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(t){const[r,n]=t.dims,s=this.config.decoder.num_codebooks,a=n-s;let o=0;for(let u=0;u0&&_<=a&&(t.data[o++]=t.data[u])}const i=Math.floor(r/s),l=o/(i*s);return new j(t.type,t.data.slice(0,o),[i,s,l])}prepare_inputs_for_generation(t,r,n){const s=BigInt(this.config.decoder.pad_token_id);let a=structuredClone(t);for(let o=0;o=i&&(a[o][i]=s);return n.guidance_scale!==null&&n.guidance_scale>1&&(a=a.concat(a)),Ia(this,a,r)}async generate(t){const r=await super.generate(t),n=this._apply_and_filter_by_delay_pattern_mask(r).unsqueeze_(0),{audio_values:s}=await Me(this.sessions.encodec_decode,{audio_codes:n});return s}},Jc=class extends P{},PF=class extends Jc{},FF=class extends Jc{},On=class extends P{},LF=class extends On{},IF=class extends On{async _call(e){return new Ye(await super._call(e))}},OF=class extends On{async _call(e){return new oe(await super._call(e))}},NF=class extends On{async _call(e){return new qe(await super._call(e))}},DF=class extends On{async _call(e){return new ut(await super._call(e))}},Tg=class extends P{},BF=class extends Tg{},Zc=class extends P{},zF=class extends Zc{},RF=class extends Zc{},eu=class extends P{},$F=class extends eu{},GF=class extends eu{},tu=class extends P{},VF=class extends tu{},UF=class extends tu{},ru=class extends P{},WF=class extends ru{},jF=class extends ru{},nu=class extends P{},qF=class extends nu{},HF=class extends nu{},su=class extends P{},QF=class extends su{},XF=class extends su{},au=class extends P{},YF=class extends au{},KF=class extends au{},ou=class extends P{},JF=class extends ou{},ZF=class extends ou{},kg=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}},eL=class extends kg{_merge_input_ids_with_image_features(e){const t=e.image_features.dims.at(-1),r=e.image_features.view(-1,t);return vs({image_token_id:this.config.image_token_index,...e,image_features:r})}},Eg=class extends P{},tL=class extends Eg{async _call(e){return new Yr(await super._call(e))}},iu=class extends P{},rL=class extends iu{},nL=class extends iu{},lu=class extends P{},sL=class extends lu{},aL=class extends lu{},cu=class extends P{},oL=class extends cu{},iL=class extends cu{},uu=class extends P{},lL=class extends uu{},cL=class extends uu{},Cg=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"])}},Sg=class extends Cg{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:r=null,image_sizes:n=null,position_ids:s=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:i=null,logits_processor:l=null,...u}){if(!a){let f;if(r&&e.dims[1]!==1){if(!n)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:f}=await Me(this.sessions.vision_encoder,{pixel_values:r,image_sizes:n}))}else{const _=this.config.normalized_config.hidden_size;f=new j("float32",[],[0,_])}({inputs_embeds:a}=await Me(this.sessions.prepare_inputs_embeds,{input_ids:e,image_features:f}))}return await Kt(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,position_ids:s,generation_config:i,logits_processor:l},!1)}},du=class extends P{},uL=class extends du{},dL=class extends du{async _call(e){return new oe(await super._call(e))}},hu=class extends P{},hL=class extends hu{},fL=class extends hu{async _call(e){return new qe(await super._call(e))}},fu=class extends P{},_L=class extends fu{},pL=class extends fu{},_u=class extends P{},mL=class extends _u{},gL=class extends _u{},Ag=class extends P{constructor(){super(...arguments);M(this,"forward_params",["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"])}},Pg=class extends Ag{constructor(){super(...arguments);M(this,"image_grid_thw_name","grid_thw")}get_rope_index(t,r,n,s){const{vision_config:a,image_token_id:o,video_token_id:i,vision_start_token_id:l}=this.config,u=a.spatial_merge_size??2,h=[];if(r||n){let f=t.tolist();s||(s=Wp(t));const _=s.tolist(),g=Array.from({length:3},E=>Array.from({length:t.dims[0]},C=>Array.from({length:t.dims[1]},F=>1))),w=r?r.tolist():[],v=n?n.tolist():[];let b=0,k=0;for(let E=0;E_[E][S]==1),O=C.reduce((I,S,z)=>(S==l&&I.push(z),I),[]).map(I=>C[I+1]),G=O.filter(I=>I==o).length,T=O.filter(I=>I==i).length;let V=[],R=0,U=G,Z=T;for(let I=0;Iet>R&&Ve==o),z=C.findIndex((Ve,et)=>et>R&&Ve==i),re=U>0&&S!==-1?S:C.length+1,X=Z>0&&z!==-1?z:C.length+1;let pe,ue,Pe,Ke;re0?We(V.at(-1))[0]+1:0;V.push(Array.from({length:3*De},(Ve,et)=>He+et%De));const me=De+He,te=st*at*Je,ke=Array.from({length:te},(Ve,et)=>me+Math.floor(et/(at*Je))),Ze=Array.from({length:te},(Ve,et)=>me+Math.floor(et/Je)%at),Et=Array.from({length:te},(Ve,et)=>me+et%Je);V.push([ke,Ze,Et].flat()),R=pe+te}if(R0?We(V.at(-1))[0]+1:0,S=C.length-R;V.push(Array.from({length:3*S},(z,re)=>I+re%S))}const H=V.reduce((I,S)=>I+S.length,0),D=new Array(H);let N=0;for(let I=0;I<3;++I)for(let S=0;Sf[b%f.length]),w=Array.from({length:_[0]},(v,b)=>We(f.subarray(_[1]*b,_[1]*(b+1)))[0]+1n+BigInt(_[1]));return[new j("int64",g,[3,..._]),new j("int64",w,[w.length,1])]}else{const[f,_]=t.dims,g=BigInt64Array.from({length:3*f*_},(w,v)=>BigInt(Math.floor(v%_/f)));return[new j("int64",g,[3,...t.dims]),jp([f,1])]}}async encode_image({pixel_values:t,image_grid_thw:r}){return(await Me(this.sessions.vision_encoder,{pixel_values:t,[this.image_grid_thw_name]:r})).image_features}_merge_input_ids_with_image_features(t){return vs({image_token_id:this.config.image_token_id,...t})}prepare_inputs_for_generation(t,r,n){if(r.attention_mask&&!r.position_ids)if(!r.past_key_values)[r.position_ids,r.rope_deltas]=this.get_rope_index(r.input_ids,r.image_grid_thw,r.video_grid_thw,r.attention_mask);else{r.pixel_values=null;const s=ps(r.past_key_values);if(sa+i);r.position_ids=kn([o,o,o],0)}}return r}},Fg=class extends Pg{constructor(){super(...arguments);M(this,"image_grid_thw_name","image_grid_thw")}},pu=class extends P{},wL=class extends pu{},vL=class extends pu{},mu=class extends P{},yL=class extends mu{},bL=class extends mu{},gu=class extends P{},ML=class extends gu{},xL=class extends gu{},wu=class extends Fg{},TL=class extends wu{},Lg=class extends wu{},kL=class extends Lg{},vu=class extends P{},EL=class extends vu{},CL=class extends vu{async _call(e){return new oe(await super._call(e))}},yu=class extends P{},SL=class extends yu{},AL=class extends yu{async _call(e){return new Ig(await super._call(e))}},Ig=class extends bs{},Nn=class extends P{},PL=class extends Nn{},FL=class extends Nn{async _call(e){return new Ye(await super._call(e))}},LL=class extends Nn{async _call(e){return new oe(await super._call(e))}},IL=class extends Nn{async _call(e){return new qe(await super._call(e))}},OL=class extends Nn{async _call(e){return new ut(await super._call(e))}},Dn=class extends P{},NL=class extends Dn{},DL=class extends Dn{async _call(e){return new Ye(await super._call(e))}},BL=class extends Dn{async _call(e){return new oe(await super._call(e))}},zL=class extends Dn{async _call(e){return new qe(await super._call(e))}},RL=class extends Dn{async _call(e){return new ut(await super._call(e))}},bu=class extends P{},$L=class extends bu{},GL=class extends bu{async _call(e){return new Og(await super._call(e))}},Og=class extends bs{},Ng=class extends je{constructor({iou_scores:e,pred_masks:t}){super(),this.iou_scores=e,this.pred_masks=t}},Dg=class extends P{},VL=class extends Dg{async get_image_embeddings({pixel_values:e}){return await kr(this,{pixel_values:e})}async forward(e){!e.image_embeddings||!e.image_positional_embeddings?e={...e,...await this.get_image_embeddings(e)}:e={...e},e.input_labels??(e.input_labels=Ft(e.input_points.dims.slice(0,-1)));const t={image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings};return e.input_points&&(t.input_points=e.input_points),e.input_labels&&(t.input_labels=e.input_labels),e.input_boxes&&(t.input_boxes=e.input_boxes),await Me(this.sessions.prompt_encoder_mask_decoder,t)}async _call(e){return new Ng(await super._call(e))}},Bg=class extends je{constructor({iou_scores:e,pred_masks:t,object_score_logits:r}){super(),this.iou_scores=e,this.pred_masks=t,this.object_score_logits=r}},zg=class extends P{},Mu=class extends zg{async get_image_embeddings({pixel_values:e}){return await kr(this,{pixel_values:e})}async forward(e){const{num_feature_levels:t}=this.config.vision_config;if(Array.from({length:t},(a,o)=>`image_embeddings.${o}`).some(a=>!e[a])?e={...e,...await this.get_image_embeddings(e)}:e={...e},e.input_points){if(e.input_boxes&&e.input_boxes.dims[1]!==1)throw new Error("When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1.");const a=e.input_points.dims;e.input_labels??(e.input_labels=Ft(a.slice(0,-1))),e.input_boxes??(e.input_boxes=ct([a[0],0,4],0))}else if(e.input_boxes){const a=e.input_boxes.dims;e.input_labels=ct([a[0],a[1],0],-1n),e.input_points=ct([a[0],1,0,2],0)}else throw new Error("At least one of `input_points` or `input_boxes` must be provided.");const n=this.sessions.prompt_encoder_mask_decoder,s=mt(e,n.inputNames);return await Me(n,s)}async _call(e){return new Bg(await super._call(e))}},UL=class extends Mu{},WL=class extends Mu{},Ka=class extends P{},jL=class extends Ka{},qL=class extends Ka{},HL=class extends Ka{},Ja=class extends P{},QL=class extends Ja{},XL=class extends Ja{},YL=class extends Ja{},xu=class extends P{},KL=class extends xu{},Rg=class extends xu{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"text_model"})}},JL=class extends Kr{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"vision_model"})}},Tu=class extends P{},ZL=class extends Tu{},eI=class extends Tu{},Za=class extends P{constructor(){super(...arguments);M(this,"main_input_name","input_values");M(this,"forward_params",["input_values"])}},tI=class extends Za{async encode(e){return await Me(this.sessions.encoder_model,e)}async decode(e){return await Me(this.sessions.decoder_model,e)}},$g=class extends Za{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"encoder_model"})}},Gg=class extends Za{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??"decoder_model"})}},eo=class extends P{},rI=class extends eo{},nI=class extends eo{},sI=class extends eo{async generate_speech(e,t,{threshold:r=.5,minlenratio:n=0,maxlenratio:s=20,vocoder:a=null}={}){const o={input_ids:e},{encoder_outputs:i,encoder_attention_mask:l}=await kr(this,o),u=i.dims[1]/this.config.reduction_factor,h=Math.floor(u*s),f=Math.floor(u*n),_=this.config.num_mel_bins;let g=[],w=null,v=null,b=0;for(;;){++b;const C=Dm(!!v);let F;v?F=v.output_sequence_out:F=new j("float32",new Float32Array(_),[1,1,_]);let O={use_cache_branch:C,output_sequence:F,encoder_attention_mask:l,speaker_embeddings:t,encoder_hidden_states:i};this.addPastKeyValues(O,w),v=await Me(this.sessions.decoder_model_merged,O),w=this.getPastKeyValues(v,w);const{prob:G,spectrum:T}=v;if(g.push(T),b>=f&&(Array.from(G.data).filter(V=>V>=r).length>0||b>=h))break}const k=Re(g),{waveform:E}=await Me(a.sessions.model,{spectrogram:k});return{spectrogram:k,waveform:E}}},aI=class extends P{constructor(){super(...arguments);M(this,"main_input_name","spectrogram")}},Es=class extends P{},oI=class extends Es{},iI=class extends Es{async _call(e){return new Ye(await super._call(e))}},lI=class extends Es{async _call(e){return new oe(await super._call(e))}},cI=class extends Es{async _call(e){return new ut(await super._call(e))}},ku=class extends P{},uI=class extends ku{},dI=class extends ku{},Eu=class extends P{},hI=class extends Eu{},fI=class extends Eu{},Vg=class extends P{},_I=class extends Vg{},Ug=class extends P{},Wg=class extends Ug{async generate_speech({input_ids:e,attention_mask:t,style:r,num_inference_steps:n=5,speed:s=1.05}){const{sampling_rate:a,chunk_compress_factor:o,base_chunk_size:i,latent_dim:l}=this.config,{last_hidden_state:u,durations:h}=await Me(this.sessions.text_encoder,{input_ids:e,attention_mask:t,style:r}),f=h.div(s).mul_(a),_=i*o,g=f.data,w=Int32Array.from(g,R=>Math.ceil(R/_)),v=Math.max(...w),b=e.dims[0],k=new BigInt64Array(b*v);for(let R=0;R=v){const b=g.logits,k=b.data,E=b.dims[b.dims.length-1],C=b.dims.length===3?(b.dims[1]-1)*E:0;for(let F=0;F`;t.push(e.lang_to_id[a]),t.push(e.task_to_id[n??"transcribe"])}else if(r||n)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!e.return_timestamps&&e.no_timestamps_token_id&&t.at(-1)!==e.no_timestamps_token_id?t.push(e.no_timestamps_token_id):e.return_timestamps&&t.at(-1)===e.no_timestamps_token_id&&(ge.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),t.pop()),t.filter(s=>s!=null)}async generate({inputs:e=null,generation_config:t=null,logits_processor:r=null,stopping_criteria:n=null,...s}){t=this._prepare_generation_config(t,s);const a=s.decoder_input_ids??this._retrieve_init_tokens(t);if(t.return_timestamps&&(r??(r=new rl),r.push(new H2(t,a))),t.begin_suppress_tokens&&(r??(r=new rl),r.push(new Im(t.begin_suppress_tokens,a.length))),t.return_token_timestamps){if(!t.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.");t.task==="translate"&&ge.warn("Token-level timestamps may not be reliable for task 'translate'."),t.output_attentions=!0,t.return_dict_in_generate=!0}const o=await super.generate({inputs:e,generation_config:t,logits_processor:r,decoder_input_ids:a,...s});return t.return_token_timestamps&&(o.token_timestamps=this._extract_token_timestamps(o,t.alignment_heads,t.num_frames)),o}_extract_token_timestamps(e,t,r=null,n=.02){if(!e.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`.");r==null&&ge.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 s=this.config.median_filter_width;s===void 0&&(ge.warn("Model config has no `median_filter_width`, using default value of 7."),s=7);const a=e.cross_attentions,o=Array.from({length:this.config.decoder_layers},(w,v)=>Re(a.map(b=>b[v]),2)),i=kn(t.map(([w,v])=>{if(w>=o.length)throw new Error(`Layer index ${w} is out of bounds for cross attentions (length ${o.length}).`);return r?o[w].slice(null,v,null,[0,r]):o[w].slice(null,v)})).transpose(1,0,2,3),[l,u]=IT(i,-2,0,!0),h=i.clone();for(let w=0;wb[G+1]-b[G]),C=Dt([1],E).map(O=>!!O),F=[];for(let O=0;Oe[0])),M(da,"BASE_IF_FAIL",!0);var pi;pi=class extends Ce{},M(pi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]);var mi;mi=class extends Ce{},M(mi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]);var gi;gi=class extends Ce{},M(gi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]);var wi;wi=class extends Ce{},M(wi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]);var vi;vi=class extends Ce{},M(vi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]);var yi;yi=class extends Ce{},M(yi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]);var bi;bi=class extends Ce{},M(bi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]);var Mi;Mi=class extends Ce{},M(Mi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_MASKED_LM_MAPPING_NAMES]);var xi;xi=class extends Ce{},M(xi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]);var Ti;Ti=class extends Ce{},M(Ti,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]);var ki;ki=class extends Ce{},M(ki,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]);var Ei;Ei=class extends Ce{},M(Ei,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]);var Ci;Ci=class extends Ce{},M(Ci,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]);var Si;Si=class extends Ce{},M(Si,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]);var Ai;Ai=class extends Ce{},M(Ai,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]);var Pi;Pi=class extends Ce{},M(Pi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]);var Fi;Fi=class extends Ce{},M(Fi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]);var Li;Li=class extends Ce{},M(Li,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_CTC_MAPPING_NAMES]);var Ii;Ii=class extends Ce{},M(Ii,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]);var Oi;Oi=class extends Ce{},M(Oi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]);var Ni;Ni=class extends Ce{},M(Ni,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]);var Di;Di=class extends Ce{},M(Di,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]);var Bi;Bi=class extends Ce{},M(Bi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]);var zi;zi=class extends Ce{},M(zi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]);var Ri;Ri=class extends Ce{},M(Ri,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]);var $i;$i=class extends Ce{},M($i,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]);var Gi;Gi=class extends Ce{},M(Gi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]);var Vi;Vi=class extends Ce{},M(Vi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]);var Ui;Ui=class extends Ce{},M(Ui,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]);var Wi;Wi=class extends Ce{},M(Wi,"MODEL_CLASS_MAPPINGS",[Ee.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]);var AO=e=>e>=19968&&e<=40959||e>=13312&&e<=19903||e>=131072&&e<=173791||e>=173824&&e<=177983||e>=177984&&e<=178207||e>=178208&&e<=183983||e>=63744&&e<=64255||e>=194560&&e<=195103,PO=class{put(e){throw Error("Not implemented")}end(){throw Error("Not implemented")}},u_=_e.IS_PROCESS_AVAILABLE?e=>process.stdout.write(e):e=>console.log(e),FO=class extends PO{constructor(e,{skip_prompt:t=!1,callback_function:r=null,token_callback_function:n=null,skip_special_tokens:s=!0,decode_kwargs:a={},...o}={}){super(),this.tokenizer=e,this.skip_prompt=t,this.callback_function=r??u_,this.token_callback_function=n,this.decode_kwargs={skip_special_tokens:s,...a,...o},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0,this.special_ids=new Set(this.tokenizer.all_special_ids.map(BigInt))}put(e){var a;if(e.length>1)throw Error("TextStreamer only supports batch size of 1");const t=this.next_tokens_are_prompt;if(t&&(this.next_tokens_are_prompt=!1,this.skip_prompt))return;const r=e[0];if((a=this.token_callback_function)==null||a.call(this,r),r.length===1&&this.special_ids.has(r[0])){if(this.decode_kwargs.skip_special_tokens)return;if(this.token_cache.length>0){const l=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len);this.on_finalized_text(l,!1),this.token_cache=[],this.print_len=0}const o=this.tokenizer.decode(r,this.decode_kwargs);this.on_finalized_text(o,!1);return}this.token_cache=Dt(this.token_cache,r);const n=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let s;t||n.endsWith(` +`)?(s=n.slice(this.print_len),this.token_cache=[],this.print_len=0):n.length>0&&AO(n.charCodeAt(n.length-1))?(s=n.slice(this.print_len),this.print_len+=s.length):(s=n.slice(this.print_len,n.lastIndexOf(" ")+1),this.print_len+=s.length),this.on_finalized_text(s,!1)}end(){let e;this.token_cache.length>0?(e=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):e="",this.next_tokens_are_prompt=!0,this.on_finalized_text(e,!0)}on_finalized_text(e,t){var r,n;e.length>0&&((r=this.callback_function)==null||r.call(this,e)),t&&this.callback_function===u_&&_e.IS_PROCESS_AVAILABLE&&((n=this.callback_function)==null||n.call(this,` +`))}};const d_="onnx-community/Voxtral-Mini-4B-Realtime-2602-ONNX",LO=32n,IO=.015,OO=700,NO=400,Dw=16e3,gt=e=>document.getElementById(e),Du=gt("micBtn"),DO=gt("status"),ui=gt("transcript"),BO=gt("transcriptCard"),zO=gt("timing"),Bw=gt("progressBar"),zw=gt("progressFill"),ma=gt("loadStatus"),RO=gt("loadSection"),h_=gt("loadBtn"),$O=gt("activeUI"),lr=gt("waveCanvas"),rt=lr.getContext("2d");let Rw=null,sl=null,br=null,hs=null,cr=null,Gr=null,ga=null,vn=!1,wa=!1,yr=[],Vr=!1,dn=0,f_=0,di="";function jr(e){DO.textContent=e}function al(e){Bw.classList.add("visible"),zw.style.width=`${Math.round(e)}%`}function __(){Bw.classList.remove("visible"),zw.style.width="0%"}function GO(){lr.width=lr.offsetWidth*devicePixelRatio,lr.height=lr.offsetHeight*devicePixelRatio}function $w(){if(!cr)return;ga=requestAnimationFrame($w);const e=cr.frequencyBinCount,t=new Uint8Array(e);cr.getByteTimeDomainData(t);const r=lr.width,n=lr.height;rt.fillStyle="#1A1008",rt.fillRect(0,0,r,n),rt.lineWidth=2*devicePixelRatio,rt.strokeStyle=Vr?"#4ADE80":vn?"#554830":"#2A2018",rt.beginPath();const s=r/e;let a=0;for(let o=0;om_(r,0,.15)}),ma.textContent="Loading model...",al(15),Rw=await Yg.from_pretrained(d_,{dtype:{audio_encoder:e,embed_tokens:e,decoder_model_merged:e},device:t,progress_callback:r=>m_(r,15,.85)}),__(),RO.style.display="none",$O.style.display="block",BO.style.display="block",GO(),Gw(),jr("Click the mic to start listening")}catch(r){ma.textContent=`Error: 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HO(){vn=!1,Vr=!1,yr=[],Du.classList.remove("listening"),ga&&(cancelAnimationFrame(ga),ga=null),Gr&&(Gr.disconnect(),Gr=null),hs&&(hs.getTracks().forEach(e=>e.stop()),hs=null),cr&&(cr.disconnect(),cr=null),br&&(br.close(),br=null),Gw(),jr("Click the mic to start listening")}async function QO(e){if(wa)return;wa=!0;const t=(e.length/Dw).toFixed(1);jr(`Transcribing ${t}s...`);try{const r=performance.now(),n=await sl(null,e);let s="";const a=new FO(sl.tokenizer,{skip_special_tokens:!0,skip_prompt:!0,callback_function:_=>{s+=_,ui.textContent=di+s}}),o=a.put.bind(a);a.put=_=>{if(!(_[0].length===1&&_[0][0]===LO))return o(_)};const i=await Rw.generate({...n,max_new_tokens:512,streamer:a}),l=performance.now();s.trim()&&(ui.classList.remove("placeholder"),di+=s.trim()+" ",ui.textContent=di);const u=i.dims.at(-1)-n.input_ids.dims.at(-1),h=((l-r)/1e3).toFixed(2),f=(u/((l-r)/1e3)).toFixed(1);zO.textContent=`${h}s | ${u} tok | ${f} tok/s`,vn&&jr("Listening — speak naturally...")}catch(r){jr(`Error: 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