/*!
 * ONNX Runtime Web v1.23.2
 * Copyright (c) Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
 */
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buffer`);this.gpuBufferData=r.gpuBuffer,this.downloader=r.download,this.disposer=r.dispose;break}case"ml-tensor":{if(a!=="float32"&&a!=="float16"&&a!=="int32"&&a!=="int64"&&a!=="uint32"&&a!=="uint64"&&a!=="int8"&&a!=="uint8"&&a!=="bool"&&a!=="uint4"&&a!=="int4")throw new TypeError(`unsupported type "${a}" to create tensor from MLTensor`);this.mlTensorData=r.mlTensor,this.downloader=r.download,this.disposer=r.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let i,d;if(typeof r=="string")if(a=r,d=n,r==="string"){if(!Array.isArray(s))throw new TypeError("A string tensor's data must be a string array.");i=s}else{let m=be.get(r);if(m===void 0)throw new TypeError(`Unsupported tensor type: ${r}.`);if(Array.isArray(s)){if(r==="float16"&&m===Uint16Array||r==="uint4"||r==="int4")throw new TypeError(`Creating a ${r} tensor from number array is not supported. 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