/*!
 * ONNX Runtime Web v1.26.0-dev.20260416-b7804b056c
 * Copyright (c) Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
 */
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a=this.temporarySessionTensorIds.get(t);if(a){for(let u of a)ae("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${u}}`),this.tensorManager.releaseTensorId(u);this.temporarySessionTensorIds.delete(t),this.activeSessionId=void 0}}async createMLContext(t){if(t instanceof GPUDevice){let u=this.mlContextCache.findIndex(i=>i.gpuDevice===t);if(u!==-1)return this.mlContextCache[u].mlContext;{let i=await navigator.ml.createContext(t);return this.mlContextCache.push({gpuDevice:t,mlContext:i}),i}}else if(t===void 0){let u=this.mlContextCache.findIndex(i=>i.options===void 0&&i.gpuDevice===void 0);if(u!==-1)return this.mlContextCache[u].mlContext;{let i=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:i}),i}}let a=this.mlContextCache.findIndex(u=>gu(u.options,t));if(a!==-1)return this.mlContextCache[a].mlContext;{let u=await navigator.ml.createContext(t);return 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i=this.mlContextCache.findIndex(c=>c.mlContext===a);i!==-1&&this.mlContextCache.splice(i,1)}}getMLContext(t){return this.mlContextBySessionId.get(t)}getMLOpSupportLimits(t){return this.mlOpSupportLimitsBySessionId.get(t)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(t){ae("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${t}}`),this.tensorManager.releaseTensorId(t)}async ensureTensor(t,a,u,i,c){let l=tr.get(u);if(!l)throw new Error(`Unsupported ONNX data type: ${u}`);return this.tensorManager.ensureTensor(t??this.currentSessionId,a,l,i,c)}async createTemporaryTensor(t,a,u){ae("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${a}, shape: ${u}}`);let i=tr.get(a);if(!i)throw new Error(`Unsupported ONNX data type: ${a}`);let c=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(t,c,i,u,!1);let l=this.temporarySessionTensorIds.get(t);return 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