transformers.js/pr_1655/en/_app/immutable/nodes/2.45c8d10f.js

import{s as Uo,n as zo,o as Fo}from"../chunks/scheduler.6efaaf90.js";import{S as Bo,i as Jo,e as l,s as i,c,h as Zo,a as d,d as n,b as s,f as b,g as f,j as r,k as a,l as qo,m as o,n as u,t as p,o as m,p as x}from"../chunks/index.eb3e1f0f.js";import{C as Yo,H as v,E as Qo}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.763c1abb.js";import{C as ei}from"../chunks/CodeBlock.26db3458.js";function ti(oo){let k,ze,Ge,Fe,$,Be,_,Je,h,Ze,T,io=`Handler file for choosing the correct version of ONNX Runtime, based on the environment.
Ideally, we could import the <code>onnxruntime-web</code> and <code>onnxruntime-node</code> packages only when needed,
but dynamic imports don’t seem to work with the current webpack version and/or configuration.
This is possibly due to the experimental nature of top-level await statements.
So, we just import both packages, and use the appropriate one based on the environment:`,qe,L,so="<li>When running in node, we use <code>onnxruntime-node</code>.</li> <li>When running in the browser, we use <code>onnxruntime-web</code> (<code>onnxruntime-node</code> is not bundled).</li>",Ye,g,lo="This module is not directly exported, but can be accessed through the environment variables:",Qe,y,et,N,ro='<li><a href="#module_backends/onnx">backends/onnx</a> <ul><li><em>static</em> <ul><li><a href="#module_backends/onnx.deviceToExecutionProviders"><code>.deviceToExecutionProviders([device])</code></a> ⇒ <code>Array</code></li> <li><a href="#module_backends/onnx.createInferenceSession"><code>.createInferenceSession(buffer_or_path, session_options, session_config)</code></a> ⇒ <code>Promise.&lt;(InferenceSession|{config: Object})&gt;</code></li> <li><a href="#module_backends/onnx.runInferenceSession"><code>.runInferenceSession(session, ortFeed)</code></a> ⇒ <code>Promise.&lt;Record.&lt;string, Tensor&gt;&gt;</code></li> <li><a href="#module_backends/onnx.isONNXTensor"><code>.isONNXTensor(x)</code></a> ⇒ <code>boolean</code></li> <li><a href="#module_backends/onnx.isONNXProxy"><code>.isONNXProxy()</code></a> ⇒ <code>boolean</code></li></ul></li> <li><em>inner</em> <ul><li><a href="#module_backends/onnx..defaultDevices"><code>~defaultDevices</code></a> : <code>Array</code></li> <li><a href="#module_backends/onnx..webInitChain"><code>~webInitChain</code></a> : <code>Promise.&lt;any&gt;</code></li> <li><a href="#module_backends/onnx..wasmLoadPromise"><code>~wasmLoadPromise</code></a> : <code>Promise.&lt;void&gt;</code> | <code>null</code></li> <li><a href="#module_backends/onnx..webInferenceChain"><code>~webInferenceChain</code></a> : <code>Promise.&lt;any&gt;</code></li> <li><a href="#module_backends/onnx..DEVICE_TO_EXECUTION_PROVIDER_MAPPING"><code>~DEVICE_TO_EXECUTION_PROVIDER_MAPPING</code></a> : <code>Record.&lt;DeviceType, ONNXExecutionProviders&gt;</code></li> <li><a href="#module_backends/onnx..ONNX_LOG_LEVEL_NAMES"><code>~ONNX_LOG_LEVEL_NAMES</code></a> : <code>Record.&lt;(0|1|2|3|4), (’verbose’|’info’|’warning’|’error’|’fatal’)&gt;</code></li> <li><a href="#module_backends/onnx..supportedDevices"><code>~supportedDevices</code></a> : <code>Array</code></li> <li><a href="#module_backends/onnx..ONNX_ENV"><code>~ONNX_ENV</code></a> : <code>Env</code></li> <li><a href="#module_backends/onnx..getOnnxLogSeverityLevel"><code>~getOnnxLogSeverityLevel(logLevel)</code></a> ⇒ <code>number</code></li> <li><a href="#module_backends/onnx..ensureWasmLoaded"><code>~ensureWasmLoaded()</code></a> ⇒ <code>Promise.&lt;void&gt;</code></li> <li><a href="#module_backends/onnx..setLogLevel"><code>~setLogLevel(logLevel)</code></a></li> <li><a href="#module_backends/onnx..ONNXExecutionProviders"><code>~ONNXExecutionProviders</code></a> : <code>InferenceSession.ExecutionProviderConfig</code></li></ul></li></ul></li>',tt,nt,ot,P,it,C,st,E,ao="Map a device to the execution providers to use for the given device.",lt,w,co='<strong>Kind</strong>: static method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>Array</code> - The execution providers to use for the given device.',dt,M,fo='<thead><tr><th>Param</th><th>Type</th><th>Default</th><th>Description</th></tr></thead> <tbody><tr><td>[device]</td><td><code><a href="#DeviceType">DeviceType</a></code> | <code>&quot;auto&quot;</code> | <code>null</code></td><td><code></code></td><td><p>(Optional) The device to run the inference on.</p></td></tr></tbody>',rt,at,ct,O,ft,H,ut,I,uo="Create an ONNX inference session.",pt,R,po='<strong>Kind</strong>: static method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>Promise.&lt;(InferenceSession|{config: Object})&gt;</code> - The ONNX inference session.',mt,A,mo="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>buffer_or_path</td><td><code>Uint8Array</code> | <code>string</code></td><td><p>The ONNX model buffer or path.</p></td> </tr><tr><td>session_options</td><td><code>InferenceSession.SessionOptions</code></td><td><p>ONNX inference session options.</p></td> </tr><tr><td>session_config</td><td><code>Object</code></td><td><p>ONNX inference session configuration.</p></td></tr></tbody>",xt,bt,vt,X,kt,S,$t,j,xo="Run an inference session.",_t,D,bo='<strong>Kind</strong>: static method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>Promise.&lt;Record.&lt;string, Tensor&gt;&gt;</code> - The output tensors.',ht,W,vo="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>session</td><td><code>InferenceSession</code></td><td><p>The ONNX inference session.</p></td> </tr><tr><td>ortFeed</td><td><code>Record.&lt;string, Tensor&gt;</code></td><td><p>The input tensors.</p></td></tr></tbody>",Tt,Lt,gt,V,yt,K,Nt,G,ko="Check if an object is an ONNX tensor.",Pt,U,$o='<strong>Kind</strong>: static method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>boolean</code> - Whether the object is an ONNX tensor.',Ct,z,_o="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>x</td><td><code>any</code></td><td><p>The object to check</p></td></tr></tbody>",Et,wt,Mt,F,Ot,B,Ht,J,ho="Check if ONNX’s WASM backend is being proxied.",It,Z,To='<strong>Kind</strong>: static method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>boolean</code> - Whether ONNX’s WASM backend is being proxied.',Rt,At,Xt,q,St,Y,jt,Q,Lo='<strong>Kind</strong>: inner property of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Dt,Wt,Vt,ee,Kt,te,Gt,ne,go=`Currently, Transformers.js doesn’t support simultaneous loading of sessions in WASM/WebGPU.
For this reason, we need to chain the loading calls.`,Ut,oe,yo='<strong>Kind</strong>: inner property of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',zt,Ft,Bt,ie,Jt,se,Zt,le,No=`Promise that resolves when WASM binary has been loaded (if caching is enabled).
This ensures we only attempt to load the WASM binary once.`,qt,de,Po='<strong>Kind</strong>: inner property of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Yt,Qt,en,re,tn,ae,nn,ce,Co=`Currently, Transformers.js doesn’t support simultaneous execution of sessions in WASM/WebGPU.
For this reason, we need to chain the inference calls (otherwise we get “Error: Session already started”).`,on,fe,Eo='<strong>Kind</strong>: inner property of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',sn,ln,dn,ue,rn,pe,an,me,wo='<strong>Kind</strong>: inner constant of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',cn,fn,un,xe,pn,be,mn,ve,Mo="Maps ONNX Runtime numeric severity levels to string log levels.",xn,ke,Oo='<strong>Kind</strong>: inner constant of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',bn,vn,kn,$e,$n,_e,_n,he,Ho="The list of supported devices, sorted by priority/performance.",hn,Te,Io='<strong>Kind</strong>: inner constant of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Tn,Ln,gn,Le,yn,ge,Nn,ye,Ro='<strong>Kind</strong>: inner constant of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Pn,Cn,En,Ne,wn,Pe,Mn,Ce,Ao=`Converts any LogLevel value to ONNX Runtime’s numeric severity level (0-4).
This handles both standard LogLevel values (10, 20, 30, 40, 50) and custom intermediate values.`,On,Ee,Xo='<strong>Kind</strong>: inner method of <a href="#module_backends/onnx"><code>backends/onnx</code></a><br/> <strong>Returns</strong>: <code>number</code> - ONNX Runtime severity level (0-4)',Hn,we,So="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>logLevel</td><td><code>number</code></td><td><p>The LogLevel value to convert</p></td></tr></tbody>",In,Rn,An,Me,Xn,Oe,Sn,He,jo=`Ensures the WASM binary is loaded and cached before creating an inference session.
Only runs once, even if called multiple times.`,jn,Ie,Do='<strong>Kind</strong>: inner method of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Dn,Wn,Vn,Re,Kn,Ae,Gn,Xe,Wo=`A function to map Transformers.js log levels to ONNX Runtime log severity
levels, and set the log level environment variable in ONNX Runtime.`,Un,Se,Vo='<strong>Kind</strong>: inner method of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',zn,je,Ko="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>logLevel</td><td><code>number</code></td><td><p>The log level to set.</p></td></tr></tbody>",Fn,Bn,Jn,De,Zn,We,qn,Ve,Go='<strong>Kind</strong>: inner typedef of <a href="#module_backends/onnx"><code>backends/onnx</code></a>',Yn,Qn,eo,Ke,to,Ue,no;return _=new Yo({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),h=new v({props:{title:"backends/onnx",local:"backendsonnx",headingTag:"h1"}}),y=new ei({props:{code:"aW1wb3J0JTIwJTdCJTIwZW52JTIwJTdEJTIwZnJvbSUyMCclNDBodWdnaW5nZmFjZSUyRnRyYW5zZm9ybWVycyclM0IlMEFjb25zb2xlLmxvZyhlbnYuYmFja2VuZHMub25ueCklM0I=",highlighted:`<span class="hljs-keyword">import</span> { env } <span class="hljs-keyword">from</span> <span class="hljs-string">&#x27;@huggingface/transformers&#x27;</span>;
<span class="hljs-variable language_">console</span>.<span class="hljs-title function_">log</span>(env.<span class="hljs-property">backends</span>.<span class="hljs-property">onnx</span>);`,wrap:!1}}),C=new v({props:{title:"backends/onnx.deviceToExecutionProviders([device]) ⇒ Array",local:"backendsonnxdevicetoexecutionprovidersdevice--array",headingTag:"h2"}}),H=new v({props:{title:"backends/onnx.createInferenceSession(buffer_or_path, session_options, session_config) ⇒ Promise. < (InferenceSession|{config: Object}) >",local:"backendsonnxcreateinferencesessionbufferorpath-sessionoptions-sessionconfig--promise--inferencesessionconfig-object-",headingTag:"h2"}}),S=new v({props:{title:"backends/onnx.runInferenceSession(session, ortFeed) ⇒ Promise. < Record. < string, Tensor > >",local:"backendsonnxruninferencesessionsession-ortfeed--promise--record--string-tensor--",headingTag:"h2"}}),K=new v({props:{title:"backends/onnx.isONNXTensor(x) ⇒ 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