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qIAA2AgAgAyAHRw0AQfDtAiAANgIADwsgAEH/AU0EQCAAQXhxQZDuAmohAgJ/QejtAigCACIEQQEgAEEDdnQiAHFFBEBB6O0CIAAgBHI2AgAgAgwBCyACKAIICyEAIAIgAzYCCCAAIAM2AgwgAyACNgIMIAMgADYCCA8LQR8hASAAQf///wdNBEAgAEEmIABBCHZnIgJrdkEBcSACQQF0a0E+aiEBCyADIAE2AhwgA0IANwIQIAFBAnRBmPACaiEEAn8CQAJ/QeztAigCACIGQQEgAXQiAnFFBEBB7O0CIAIgBnI2AgAgBCADNgIAQRghAUEIDAELIABBGSABQQF2a0EAIAFBH0cbdCEBIAQoAgAhBANAIAQiAigCBEF4cSAARg0CIAFBHXYhBCABQQF0IQEgAiAEQQRxaiIGKAIQIgQNAAsgBiADNgIQQRghASACIQRBCAshACADIgIMAQsgAigCCCIEIAM2AgwgAiADNgIIQRghAEEIIQFBAAshBiABIANqIAQ2AgAgAyACNgIMIAAgA2ogBjYCAEGI7gJBiO4CKAIAQQFrIgBBfyAAGzYCAAsLOwECf0EBIAAgAEEBTRshAQNAAkAgARAWIgANAEH4mwMoAgAiAkUNACACEQ4ADAELCyAARQRAEDcLIAALCQBBixMQ8AMACx4AIAAtAAtBB3YEQCAAKAIIGiAAKAIAQQEQZAsgAAsnACAAKAIAIgAgARAoIgEQ3AJFBEAQIAALIAAoAgggAUECdGooAgAL4SgBC38jAEEQayIKJAACQAJAAkACQAJAAkACQAJAAkACQCAAQfQBTQRAQejtAigCACIEQRAgAEELakH4A3EgAEELSRsiBkEDdiIAdiIBQQNxBEACQCABQX9zQQFxIABqIgJBA3QiAUGQ7gJqIgAgAUGY7gJqKAIAIgEoAggiBUYEQEHo7QIgBEF+IAJ3cTYCAAwBCyAFIAA2AgwgACAFNgIICyABQQhqIQAgASACQQN0IgJBA3I2AgQgASACaiIBIAEoAgRBAXI2AgQMCwsgBkHw7QIoAgAiCE0NASABBEACQEECIAB0IgJBACACa3IgASAAdHFoIgFBA3QiAEGQ7gJqIgIgAEGY7gJqKAIAIgAoAggiBUYEQEHo7QIgBEF+IAF3cSIENgIADAELIAUgAjYCDCACIAU2AggLIAAgBkEDcjYCBCAAIAZqIgcgAUEDdCIBIAZrIgVBAXI2AgQgACABaiAFNgIAIAgEQCAIQXhxQZDuAmohAUH87QIoAgAhAgJ/IARBASAIQQN2dCIDcUUEQEHo7QIgAyAEcjYCACABDAELIAEoAggLIQMgASACNgIIIAMgAjYCDCACIAE2AgwgAiADNgIICyAAQQhqIQBB/O0CIAc2AgBB8O0CIAU2AgAMCwtB7O0CKAIAIgtFDQEgC2hBAnRBmPACaigCACICKAIEQXhxIAZrIQMgAiEBA0ACQCABKAIQIgBFBEAgASgCFCIARQ0BCyAAKAIEQXhxIAZrIgEgAyABIANJIgEbIQMgACACIAEbIQIgACEBDAELCyACKAIYIQkgAiACKAIMIgBHBEAgAigCCCIBIAA2AgwgACABNgIIDAoLIAIoAhQiAQR/IAJBFGoFIAIoAhAiAUUNAyACQRBqCyEFA0AgBSEHIAEiAEEUaiEFIAAoAhQiAQ0AIABBEGohBSAAKAIQIgENAAsgB0EANgIADAkLQX8hBiAAQb9/Sw0AIABBC2oiAUF4cSEGQeztAigCACIHRQ0AQR8hCEEAIAZrIQMgAEH0//8HTQRAIAZBJiABQQh2ZyIAa3ZBAXEgAEEBdGtBPmohCAsCQAJAAkAgCEECdEGY8AJqKAIAIgFFBEBBACEADAELQQAhACAGQRkgCEEBdmtBACAIQR9HG3QhAgNAAkAgASgCBEF4cSAGayIEIANPDQAgASEFIAQiAw0AQQAhAyABIQAMAwsgACABKAIUIgQgBCABIAJBHXZBBHFqKAIQIgFGGyAAIAQbIQAgAkEBdCECIAENAAsLIAAgBXJFBEBBACEFQQIgCHQiAEEAIABrciAHcSIARQ0DIABoQQJ0QZjwAmooAgAhAAsgAEUNAQsDQCAAKAIEQXhxIAZrIgIgA0khASACIAMgARshAyAAIAUgARshBSAAKAIQIgEEfyABBSAAKAIUCyIADQALCyAFRQ0AIANB8O0CKAIAIAZrTw0AIAUoAhghCCAFIAUoAgwiAEcEQCAFKAIIIgEgADYCDCAAIAE2AggMCAsgBSgCFCIBBH8gBUEUagUgBSgCECIBRQ0DIAVBEGoLIQIDQCACIQQgASIAQRRqIQIgACgCFCIBDQAgAEEQaiECIAAoAhAiAQ0ACyAEQQA2AgAMBwsgBkHw7QIoAgAiBU0EQEH87QIoAgAhAAJAIAUgBmsiAUEQTwRAIAAgBmoiAiABQQFyNgIEIAAgBWogATYCACAAIAZBA3I2AgQMAQsgACAFQQNyNgIEIAAgBWoiASABKAIEQQFyNgIEQQAhAkEAIQELQfDtAiABNgIAQfztAiACNgIAIABBCGohAAwJCyAGQfTtAigCACICSQRAQfTtAiACIAZrIgE2AgBBgO4CQYDuAigCACIAIAZqIgI2AgAgAiABQQFyNgIEIAAgBkEDcjYCBCAAQQhqIQAMCQtBACEAIAZBL2oiAwJ/QcDxAigCAARAQcjxAigCAAwBC0HM8QJCfzcCAEHE8QJCgKCAgICABDcCAEHA8QIgCkEMakFwcUHYqtWqBXM2AgBB1PECQQA2AgBBpPECQQA2AgBBgCALIgFqIgRBACABayIHcSIBIAZNDQhBoPECKAIAIgUEQEGY8QIoAgAiCCABaiIJIAhNDQkgBSAJSQ0JCwJAQaTxAi0AAEEEcUUEQAJAAkACQAJAQYDuAigCACIFBEBBqPECIQADQCAAKAIAIgggBU0EQCAFIAggACgCBGpJDQMLIAAoAggiAA0ACwtBABCRASICQX9GDQMgASEEQcTxAigCACIAQQFrIgUgAnEEQCABIAJrIAIgBWpBACAAa3FqIQQLIAQgBk0NA0Gg8QIoAgAiAARAQZjxAigCACIFIARqIgcgBU0NBCAAIAdJDQQLIAQQkQEiACACRw0BDAULIAQgAmsgB3EiBBCRASICIAAoAgAgACgCBGpGDQEgAiEACyAAQX9GDQEgBkEwaiAETQRAIAAhAgwEC0HI8QIoAgAiAiADIARrakEAIAJrcSICEJEBQX9GDQEgAiAEaiEEIAAhAgwDCyACQX9HDQILQaTxAkGk8QIoAgBBBHI2AgALIAEQkQEhAkEAEJEBIQAgAkF/Rg0FIABBf0YNBSAAIAJNDQUgACACayIEIAZBKGpNDQULQZjxAkGY8QIoAgAgBGoiADYCAEGc8QIoAgAgAEkEQEGc8QIgADYCAAsCQEGA7gIoAgAiAwRAQajxAiEAA0AgAiAAKAIAIgEgACgCBCIFakYNAiAAKAIIIgANAAsMBAtB+O0CKAIAIgBBACAAIAJNG0UEQEH47QIgAjYCAAtBACEAQazxAiAENgIAQajxAiACNgIAQYjuAkF/NgIAQYzuAkHA8QIoAgA2AgBBtPECQQA2AgADQCAAQQN0IgFBmO4CaiABQZDuAmoiBTYCACABQZzuAmogBTYCACAAQQFqIgBBIEcNAAtB9O0CIARBKGsiAEF4IAJrQQdxIgFrIgU2AgBBgO4CIAEgAmoiATYCACABIAVBAXI2AgQgACACakEoNgIEQYTuAkHQ8QIoAgA2AgAMBAsgAiADTQ0CIAEgA0sNAiAAKAIMQQhxDQIgACAEIAVqNgIEQYDuAiADQXggA2tBB3EiAGoiATYCAEH07QJB9O0CKAIAIARqIgIgAGsiADYCACABIABBAXI2AgQgAiADakEoNgIEQYTuAkHQ8QIoAgA2AgAMAwtBACEADAYLQQAhAAwEC0H47QIoAgAgAksEQEH47QIgAjYCAAsgAiAEaiEFQajxAiEAAkADQCAFIAAoAgAiAUcEQCAAKAIIIgANAQwCCwsgAC0ADEEIcUUNAwtBqPECIQADQAJAIAAoAgAiASADTQRAIAMgASAAKAIEaiIFSQ0BCyAAKAIIIQAMAQsLQfTtAiAEQShrIgBBeCACa0EHcSIBayIHNgIAQYDuAiABIAJqIgE2AgAgASAHQQFyNgIEIAAgAmpBKDYCBEGE7gJB0PECKAIANgIAIAMgBUEnIAVrQQdxakEvayIAIAAgA0EQakkbIgFBGzYCBCABQbDxAikCADcCECABQajxAikCADcCCEGw8QIgAUEIajYCAEGs8QIgBDYCAEGo8QIgAjYCAEG08QJBADYCACABQRhqIQADQCAAQQc2AgQgAEEIaiAAQQRqIQAgBUkNAAsgASADRg0AIAEgASgCBEF+cTYCBCADIAEgA2siAkEBcjYCBCABIAI2AgACfyACQf8BTQRAIAJBeHFBkO4CaiEAAn9B6O0CKAIAIgFBASACQQN2dCICcUUEQEHo7QIgASACcjYCACAADAELIAAoAggLIQEgACADNgIIIAEgAzYCDEEMIQJBCAwBC0EfIQAgAkH///8HTQRAIAJBJiACQQh2ZyIAa3ZBAXEgAEEBdGtBPmohAAsgAyAANgIcIANCADcCECAAQQJ0QZjwAmohAQJAAkBB7O0CKAIAIgVBASAAdCIEcUUEQEHs7QIgBCAFcjYCACABIAM2AgAMAQsgAkEZIABBAXZrQQAgAEEfRxt0IQAgASgCACEFA0AgBSIBKAIEQXhxIAJGDQIgAEEddiEFIABBAXQhACABIAVBBHFqIgQoAhAiBQ0ACyAEIAM2AhALIAMgATYCGEEIIQIgAyIBIQBBDAwBCyABKAIIIgAgAzYCDCABIAM2AgggAyAANgIIQQAhAEEYIQJBDAsgA2ogATYCACACIANqIAA2AgALQfTtAigCACIAIAZNDQBB9O0CIAAgBmsiATYCAEGA7gJBgO4CKAIAIgAgBmoiAjYCACACIAFBAXI2AgQgACAGQQNyNgIEIABBCGohAAwEC0Hk7QJBMDYCAEEAIQAMAwsgACACNgIAIAAgACgCBCAEajYCBCACQXggAmtBB3FqIgggBkEDcjYCBCABQXggAWtBB3FqIgQgBiAIaiIDayEHAkBBgO4CKAIAIARGBEBBgO4CIAM2AgBB9O0CQfTtAigCACAHaiIANgIAIAMgAEEBcjYCBAwBC0H87QIoAgAgBEYEQEH87QIgAzYCAEHw7QJB8O0CKAIAIAdqIgA2AgAgAyAAQQFyNgIEIAAgA2ogADYCAAwBCyAEKAIEIgBBA3FBAUYEQCAAQXhxIQkgBCgCDCECAkAgAEH/AU0EQCAEKAIIIgEgAkYEQEHo7QJB6O0CKAIAQX4gAEEDdndxNgIADAILIAEgAjYCDCACIAE2AggMAQsgBCgCGCEGAkAgAiAERwRAIAQoAggiACACNgIMIAIgADYCCAwBCwJAIAQoAhQiAAR/IARBFGoFIAQoAhAiAEUNASAEQRBqCyEBA0AgASEFIAAiAkEUaiEBIAAoAhQiAA0AIAJBEGohASACKAIQIgANAAsgBUEANgIADAELQQAhAgsgBkUNAAJAIAQoAhwiAEECdEGY8AJqIgEoAgAgBEYEQCABIAI2AgAgAg0BQeztAkHs7QIoAgBBfiAAd3E2AgAMAgsCQCAEIAYoAhBGBEAgBiACNgIQDAELIAYgAjYCFAsgAkUNAQsgAiAGNgIYIAQoAhAiAARAIAIgADYCECAAIAI2AhgLIAQoAhQiAEUNACACIAA2AhQgACACNgIYCyAHIAlqIQcgBCAJaiIEKAIEIQALIAQgAEF+cTYCBCADIAdBAXI2AgQgAyAHaiAHNgIAIAdB/wFNBEAgB0F4cUGQ7gJqIQACf0Ho7QIoAgAiAUEBIAdBA3Z0IgJxRQRAQejtAiABIAJyNgIAIAAMAQsgACgCCAshASAAIAM2AgggASADNgIMIAMgADYCDCADIAE2AggMAQtBHyECIAdB////B00EQCAHQSYgB0EIdmciAGt2QQFxIABBAXRrQT5qIQILIAMgAjYCHCADQgA3AhAgAkECdEGY8AJqIQACQAJAQeztAigCACIBQQEgAnQiBXFFBEBB7O0CIAEgBXI2AgAgACADNgIADAELIAdBGSACQQF2a0EAIAJBH0cbdCECIAAoAgAhAQNAIAEiACgCBEF4cSAHRg0CIAJBHXYhASACQQF0IQIgACABQQRxaiIFKAIQIgENAAsgBSADNgIQCyADIAA2AhggAyADNgIMIAMgAzYCCAwBCyAAKAIIIgEgAzYCDCAAIAM2AgggA0EANgIYIAMgADYCDCADIAE2AggLIAhBCGohAAwCCwJAIAhFDQACQCAFKAIcIgFBAnRBmPACaiICKAIAIAVGBEAgAiAANgIAIAANAUHs7QIgB0F+IAF3cSIHNgIADAILAkAgBSAIKAIQRgRAIAggADYCEAwBCyAIIAA2AhQLIABFDQELIAAgCDYCGCAFKAIQIgEEQCAAIAE2AhAgASAANgIYCyAFKAIUIgFFDQAgACABNgIUIAEgADYCGAsCQCADQQ9NBEAgBSADIAZqIgBBA3I2AgQgACAFaiIAIAAoAgRBAXI2AgQMAQsgBSAGQQNyNgIEIAUgBmoiBCADQQFyNgIEIAMgBGogAzYCACADQf8BTQRAIANBeHFBkO4CaiEAAn9B6O0CKAIAIgFBASADQQN2dCICcUUEQEHo7QIgASACcjYCACAADAELIAAoAggLIQEgACAENgIIIAEgBDYCDCAEIAA2AgwgBCABNgIIDAELQR8hACADQf///wdNBEAgA0EmIANBCHZnIgBrdkEBcSAAQQF0a0E+aiEACyAEIAA2AhwgBEIANwIQIABBAnRBmPACaiEBAkACQCAHQQEgAHQiAnFFBEBB7O0CIAIgB3I2AgAgASAENgIAIAQgATYCGAwBCyADQRkgAEEBdmtBACAAQR9HG3QhACABKAIAIQEDQCABIgIoAgRBeHEgA0YNAiAAQR12IQEgAEEBdCEAIAIgAUEEcWoiBygCECIBDQALIAcgBDYCECAEIAI2AhgLIAQgBDYCDCAEIAQ2AggMAQsgAigCCCIAIAQ2AgwgAiAENgIIIARBADYCGCAEIAI2AgwgBCAANgIICyAFQQhqIQAMAQsCQCAJRQ0AAkAgAigCHCIBQQJ0QZjwAmoiBSgCACACRgRAIAUgADYCACAADQFB7O0CIAtBfiABd3E2AgAMAgsCQCACIAkoAhBGBEAgCSAANgIQDAELIAkgADYCFAsgAEUNAQsgACAJNgIYIAIoAhAiAQRAIAAgATYCECABIAA2AhgLIAIoAhQiAUUNACAAIAE2AhQgASAANgIYCwJAIANBD00EQCACIAMgBmoiAEEDcjYCBCAAIAJqIgAgACgCBEEBcjYCBAwBCyACIAZBA3I2AgQgAiAGaiIFIANBAXI2AgQgAyAFaiADNgIAIAgEQCAIQXhxQZDuAmohAEH87QIoAgAhAQJ/QQEgCEEDdnQiByAEcUUEQEHo7QIgBCAHcjYCACAADAELIAAoAggLIQQgACABNgIIIAQgATYCDCABIAA2AgwgASAENgIIC0H87QIgBTYCAEHw7QIgAzYCAAsgAkEIaiEACyAKQRBqJAAgAAsOACAAQdAAahAWQdAAags3AQF/IAAoAgAiAEGsjgNHBEAgACAAKAIEQQFrIgE2AgQgAUF/RgRAIAAgACgCACgCCBEBAAsLC4ICAQN/AkACfyAALQALQQd2BEAgACgCBAwBCyAALQALQf8AcQsiAiABSQRAIwBBEGsiBCQAIAEgAmsiAgRAIAIgAC0AC0EHdgR/IAAoAghB/////wdxQQFrBUEKCyIDAn8gAC0AC0EHdgRAIAAoAgQMAQsgAC0AC0H/AHELIgFrSwRAIAAgAyACIANrIAFqIAEgARD3AQsgAQJ/IAAtAAtBB3YEQCAAKAIADAELIAALIgNqIAJBABC/AiAAIAEgAmoiABBsIARBADoADyAAIANqIAQtAA86AAALIARBEGokAAwBCyAAAn8gAC0AC0EHdgRAIAAoAgAMAQsgAAsgARDKAgsLwQQBCn8jAEEQayIHJAACQCAHQQRqIAAQZiILLQAAQQFHDQAgASACaiIJIAEgACAAKAIAQQxrKAIAaiICKAIEQbABcUEgRhshCCACKAIYIQMCQCACLQBQQQFGBEAgAigATCEFDAELIAdBDGoiBiACKAIcIgQ2AgAgBEGsjgNHBEAgBCAEKAIEQQFqNgIECyAGQeSPAxAVIgRBICAEKAIAKAIcEQMAIQUgBhAYIAIgBTYATCACQQE6AFALAn8gASEEIAIhBiAFwCEMQQAhAiMAQRBrIgUkAAJAAkAgAyIBRQ0AIAYoAgwhAyAIIARrIgpBAEoEQCABIAQgCiABKAIAKAIwEQQAIApHDQELIAMgCSAEayIEa0EAIAMgBEobIgNBAEoEQCADQfj///8HTw0CAkAgA0ELTwRAIANBB3IiAkEBahASIQQgBSACQf////8HazYCDCAFIAQ2AgQgBSADNgIIDAELIAUgAzoADyAFQQRqIQQLIAMEQCAEIAwgA/wLAAtBACECIAMgBGpBADoAACABIAUoAgQgBUEEaiAFLAAPQQBIGyADIAEoAgAoAjARBAAhBCAFLAAPQQBIBEAgBSgCDBogBSgCBBARCyADIARHDQELAkAgCSAIayIDQQBMDQAgASAIIAMgASgCACgCMBEEACADRg0ADAELIAZBADYCDCABIQILIAVBEGokACACDAELEHEACw0AIAAgACgCAEEMaygCAGoiASABKAIQQQVyEKABCyALEF4gB0EQaiQAIAALlwEBAX8CQCAAKAIIIAAoAgRsIAFHBEAgACgCACIEBEAgBEEEaygCABARCyAAIAFBAEwEf0EABSABQYCAgIACTw0CIAFBA3RBEGoQFiIBRQ0CIAFBcHEiBCABNgIMIARBEGoLNgIACyAAIAM2AgggACACNgIEDwtBBBAXIgBBiOECNgIAIABB4OACNgIAIABBrOECQQIQAQALBgAgABARC4EBAQJ/AkACQCACQQRPBEAgACABckEDcQ0BA0AgACgCACABKAIARw0CIAFBBGohASAAQQRqIQAgAkEEayICQQNLDQALCyACRQ0BCwNAIAAtAAAiAyABLQAAIgRGBEAgAUEBaiEBIABBAWohACACQQFrIgINAQwCCwsgAyAEaw8LQQALigEBAX8CQCAAKAIEIAFHBEAgACgCACIDBEAgA0EEaygCABARCyAAIAFBAEwEf0EABSABQYCAgIACTw0CIAFBA3RBEGoQFiIBRQ0CIAFBcHEiAyABNgIMIANBEGoLNgIACyAAIAI2AgQPC0EEEBciAEGI4QI2AgAgAEHg4AI2AgAgAEGs4QJBAhABAAsuAQF/QQQQFyIAQYjhAjYCACAAQeDgAjYCACAAQfTgAjYCACAAQcjhAkECEAEACwYAEIEGAAvUAQIDfwJ+AkAgACkDcCIEQgBSIAQgACkDeCAAKAIEIgEgACgCLCICa6x8IgVXcUUEQCAAEMIBIgNBAE4NASAAKAIsIQIgACgCBCEBCyAAQn83A3AgACABNgJoIAAgBSACIAFrrHw3A3hBfw8LIAVCAXwhBSAAKAIEIQEgACgCCCECAkAgACkDcCIEUA0AIAQgBX0iBCACIAFrrFkNACABIASnaiECCyAAIAI2AmggACAFIAAoAiwiACABa6x8NwN4IAAgAU8EQCABQQFrIAM6AAALIAML6gEBA38CQCABEMMCIQIgAC0AC0EHdgR/IAAoAghB/////wdxQQFrBUEBCyEDAn8gAC0AC0EHdgRAIAAoAgQMAQsgAC0AC0H/AHELIQQgAiADTQRAAn8gAC0AC0EHdgRAIAAoAgAMAQsgAAshAwJAIAJFDQAgAkECdCIERQ0AIAMgASAE/AoAAAsjAEEQayIBJAACfyAALQALQQd2BEAgACgCBAwBCyAALQALCxogACACEGwgAUEANgIMIAMgAkECdGogASgCDDYCACABQRBqJAAMAQsgACADIAIgA2sgBEEAIAQgAiABELwCCwumAQEDfwJAIAEQSyECIAAtAAtBB3YEfyAAKAIIQf////8HcUEBawVBCgshAwJ/IAAtAAtBB3YEQCAAKAIEDAELIAAtAAtB/wBxCyEEIAIgA00EQAJ/IAAtAAtBB3YEQCAAKAIADAELIAALIQMCQCACRSIEDQAgBA0AIAMgASAC/AoAAAsgACADIAIQygIMAQsgACADIAIgA2sgBEEAIAQgAiABEJgBCwsQACAAELEDIAEQsQNzQQFzCxAAIAAQsgMgARCyA3NBAXMLygIBBH9BqI4DLQAABEBBpI4DKAIADwsjAEEgayIBJAACQAJAA0AgAUEIaiICIABBAnRqIABBoytBmswAQQEgAHRB/////wdxGxCaAyIDNgIAIANBf0YNASAAQQFqIgBBBkcNAAtBuPkBIQAgAkG4+QFBGBAdRQ0BQdD5ASEAIAJB0PkBQRgQHUUNAUEAIQBBtIwDLQAARQRAA0AgAEECdEGEjANqIABBmswAEJoDNgIAIABBAWoiAEEGRw0AC0G0jANBAToAAEGcjANBhIwDKAIANgIAC0GEjAMhACABQQhqIgJBhIwDQRgQHUUNAUGcjAMhACACQZyMA0EYEB1FDQFBGBAWIgBFDQAgACABKQIINwIAIAAgASkCGDcCECAAIAEpAhA3AggMAQtBACEACyABQSBqJABBqI4DQQE6AABBpI4DIAA2AgAgAAu7CgIFfw9+IwBB4ABrIgUkACAEQv///////z+DIQwgAiAEhUKAgICAgICAgIB/gyEKIAJC////////P4MiDUIgiCEOIARCMIinQf//AXEhBwJAAkAgAkIwiKdB//8BcSIJQf//AWtBgoB+TwRAIAdB//8Ba0GBgH5LDQELIAFQIAJC////////////AIMiC0KAgICAgIDA//8AVCALQoCAgICAgMD//wBRG0UEQCACQoCAgICAgCCEIQoMAgsgA1AgBEL///////////8AgyICQoCAgICAgMD//wBUIAJCgICAgICAwP//AFEbRQRAIARCgICAgICAIIQhCiADIQEMAgsgASALQoCAgICAgMD//wCFhFAEQCACIAOEUARAQoCAgICAgOD//wAhCkIAIQEMAwsgCkKAgICAgIDA//8AhCEKQgAhAQwCCyADIAJCgICAgICAwP//AIWEUARAIAEgC4RCACEBUARAQoCAgICAgOD//wAhCgwDCyAKQoCAgICAgMD//wCEIQoMAgsgASALhFAEQEIAIQEMAgsgAiADhFAEQEIAIQEMAgsgC0L///////8/WARAIAVB0ABqIAEgDSABIA0gDVAiBht5IAZBBnStfKciBkEPaxA7QRAgBmshBiAFKQNYIg1CIIghDiAFKQNQIQELIAJC////////P1YNACAFQUBrIAMgDCADIAwgDFAiCBt5IAhBBnStfKciCEEPaxA7IAYgCGtBEGohBiAFKQNIIQwgBSkDQCEDCyADQg+GIgtCgID+/w+DIgIgAUIgiCIEfiIQIAtCIIgiEyABQv////8PgyIBfnwiD0IghiIRIAEgAn58IgsgEVStIAIgDUL/////D4MiDX4iFSAEIBN+fCIRIAxCD4YiEiADQjGIhEL/////D4MiAyABfnwiFCAPIBBUrUIghiAPQiCIhHwiDyACIA5CgIAEhCIMfiIWIA0gE358Ig4gEkIgiEKAgICACIQiAiABfnwiECADIAR+fCISQiCGfCIXfCEBIAcgCWogBmpB//8AayEGAkAgAiAEfiIYIAwgE358IgQgGFStIAQgBCADIA1+fCIEVq18IAIgDH58IAQgBCARIBVUrSARIBRWrXx8IgRWrXwgAyAMfiIDIAIgDX58IgIgA1StQiCGIAJCIIiEfCAEIAJCIIZ8IgIgBFStfCACIAIgECASVq0gDiAWVK0gDiAQVq18fEIghiASQiCIhHwiAlatfCACIAIgDyAUVK0gDyAXVq18fCICVq18IgRCgICAgICAwACDQgBSBEAgBkEBaiEGDAELIAtCP4ggBEIBhiACQj+IhCEEIAJCAYYgAUI/iIQhAiALQgGGIQsgAUIBhoQhAQsgBkH//wFOBEAgCkKAgICAgIDA//8AhCEKQgAhAQwBCwJ+IAZBAEwEQEEBIAZrIgdB/wBNBEAgBUEwaiALIAEgBkH/AGoiBhA7IAVBIGogAiAEIAYQOyAFQRBqIAsgASAHEHogBSACIAQgBxB6IAUpAzAgBSkDOIRCAFKtIAUpAyAgBSkDEISEIQsgBSkDKCAFKQMYhCEBIAUpAwAhAiAFKQMIDAILQgAhAQwCCyAEQv///////z+DIAatQjCGhAsgCoQhCiALUCABQgBZIAFCgICAgICAgICAf1EbRQRAIAogAkIBfCIBUK18IQoMAQsgCyABQoCAgICAgICAgH+FhEIAUgRAIAIhAQwBCyAKIAIgAkIBg3wiASACVK18IQoLIAAgATcDACAAIAo3AwggBUHgAGokAAuBAQEEfyMAQRBrIgEkACABIAA2AgwjAEEQayICJAAgACgCAEF/RwRAIAJBDGoiAyABQQxqNgIAIAJBCGoiBCADNgIAA0AgACgCACIDQQFGDQALIANFBEAgAEEBNgIAIAQQ2gIgAEF/NgIACwsgAkEQaiQAIAAoAgQgAUEQaiQAQQFrC98HAQl/IwBBEGsiByQAIAEgASgCBEEBajYCBCMAQRBrIgMkACADIAE2AgwgByADKAIMNgIMIANBEGokACACIABBCGoiACgCBCAAKAIAIgNrQQJ1TwRAAkAgAkEBaiIBIAAoAgQiBCADa0ECdSIDSwRAIwBBIGsiCiQAAkAgASADayIGIAAoAgggBGtBAnVNBEAgACAGEN8CDAELIABBDGohCCAKQQxqIQECfyAGIAAoAgQgACgCAGtBAnVqIQUjAEEQayIDJAAgAyAFNgIMIAUgABDHAiIETQRAIAAoAgggACgCAGtBAnUiBSAEQQF2SQRAIAMgBUEBdDYCCCMAQRBrIgQkACADQQhqIgUoAgAgA0EMaiIJKAIASSELIARBEGokACAJIAUgCxsoAgAhBAsgA0EQaiQAIAQMAQsQNwALIQUgACgCBCAAKAIAa0ECdSEJQQAhBCMAQRBrIgMkACADQQA2AgwgAUEANgIMIAEgCDYCECAFBH8gA0EEaiABKAIQIAUQxgIgAygCBCEEIAMoAggFQQALIQUgASAENgIAIAEgBCAJQQJ0aiIINgIIIAEgCDYCBCABIAQgBUECdGo2AgwgA0EQaiQAIwBBEGsiAyQAIAEoAgghBCADIAFBCGo2AgwgAyAENgIEIAMgBCAGQQJ0ajYCCCADKAIEIQQDQCADKAIIIARHBEAgASgCEBogAygCBEEANgIAIAMgAygCBEEEaiIENgIEDAELCyADKAIMIAMoAgQ2AgAgA0EQaiQAIAEoAgQgACgCACIDIAAoAgQiBmtqIQQgBiADayIGBEAgBCADIAb8CgAACyABIAQ2AgQgACAAKAIANgIEIAAoAgAhAyAAIAEoAgQ2AgAgASADNgIEIAAoAgQhAyAAIAEoAgg2AgQgASADNgIIIAAoAgghAyAAIAEoAgw2AgggASADNgIMIAEgASgCBDYCACAAKAIEGiAAKAIAGiABKAIEIQMDQCABKAIIIgQgA0cEQCABKAIQGiABIARBBGs2AggMAQsLIAEoAgAiAwRAIAFBDGooAgAaIAEoAhAgAxDEAgsLIApBIGokAAwBCyABIANJBEAgACgCBBogACAAKAIAIAFBAnRqEMUCCwsLIAAoAgAgAkECdGooAgAiAQRAIAEgASgCBEEBayIDNgIEIANBf0YEQCABIAEoAgAoAggRAQALCyAHKAIMIQEgB0EANgIMIAAoAgAgAkECdGogATYCACAHKAIMIQAgB0EANgIMIAAEQCAAIAAoAgRBAWsiATYCBCABQX9GBEAgACAAKAIAKAIIEQEACwsgB0EQaiQACzQBAX8jAEEQayIDJAAgAyABNgIMIAAgAygCDDYCACAAQQRqIAIoAgA2AgAgA0EQaiQAIAAL0wIBA38gACgCCCIEIAAoAgAiBWtBAnUgA08EQCADIAAoAgQiBCAFayIGQQJ1SwRAIAQgBUcEQCAGBEAgBSABIAb8CgAACyAAKAIEIQQLIAIgASAGaiIDayEBAkAgAiADRg0AIAFFDQAgBCADIAH8CgAACyAAIAEgBGo2AgQPCyACIAFrIQMCQCABIAJGDQAgA0UNACAFIAEgA/wKAAALIAAgAyAFajYCBA8LIAUEQCAAIAU2AgQgBRARIABBADYCCCAAQgA3AgBBACEECwJAIANBgICAgARPDQBB/////wMgBEEBdSIFIAMgAyAFSRsgBEH8////B08bIgNBgICAgARPDQAgACADQQJ0IgQQEiIDNgIEIAAgAzYCACAAIAMgBGo2AgggAiABayEEAkAgASACRg0AIARFDQAgAyABIAT8CgAACyAAIAMgBGo2AgQPCxATAAseACAALQALQQd2BEAgACgCCBogACgCAEEEEGQLIAALIAAgAEGI4QI2AgAgAEGM4gI2AgAgAEEEaiABEMECIAAL6w4DCHsCfBd/IwBBEGsiJSQAIAMiJkEASgRAIAQgByAHQX9GGyEdIAQgCCAIQX9GGyEbIARBeHEiA0EBaiEnIAZEAAAAAAAAAACiIRMgBCIIIANrIgRBA3EhGSAFIhogBUEEbUECdCIYa0EDcSEeIARBAXEhKCAIIANBf3NqIRwgAiAJQQN0aiEfIAIgCUEFdGohKSABIQkgACgCBCEVIAAoAgAhICAYIAVrQXxLISoDQCAYQQBKBEAgICAXQQN0aiEWIAkgFyAdbEEDdGohBEEAIRQDQCApIBQgG2xBA3RqIQUgBCEA/QwAAAAAAAAAAAAAAAAAAAAAIQpBACEC/QwAAAAAAAAAAAAAAAAAAAAAIQv9DAAAAAAAAAAAAAAAAAAAAAAhDP0MAAAAAAAAAAAAAAAAAAAAACENIANBAEoEQANAIAsgAP0KAwgiDiAF/QADMP3yAf3wASAA/QoDGCIPIAX9AANw/fIB/fABIAD9CgMoIhAgBf0AA7AB/fIB/fABIAD9CgM4IhEgBf0AA/AB/fIB/fABIQsgCiAOIAX9AAMg/fIB/fABIA8gBf0AA2D98gH98AEgECAF/QADoAH98gH98AEgESAF/QAD4AH98gH98AEhCiANIAD9CgMAIg4gBf0AAxD98gH98AEgAP0KAxAiDyAF/QADUP3yAf3wASAA/QoDICIQIAX9AAOQAf3yAf3wASAA/QoDMCIRIAX9AAPQAf3yAf3wASENIAwgDiAF/QADAP3yAf3wASAPIAX9AANA/fIB/fABIBAgBf0AA4AB/fIB/fABIBEgBf0AA8AB/fIB/fABIQwgBUGAAmohBSAAQUBrIQAgAkEIaiICIANIDQALIAsgDf3wASELIAogDP3wASEKCyAUIBVsQQN0IBZqISEgFSAUQQNybEEDdCAWaiEiIBUgFEECcmxBA3QgFmohIyAVIBRBAXJsQQN0IBZqISQCQCADIAhODQACfyAoRQRAIAMhASAAIQcgBQwBCyAAQQhqIQcgCyAA/QoDACIMIAX9AAMQ/fIB/fABIQsgCiAMIAX9AAMA/fIB/fABIQogJyEBIAVBIGoLIQIgHEUNAANAIAsgB/0KAwAiDCAC/QADEP3yAf3wASAH/QoDCCINIAL9AAMw/fIB/fABIQsgCiAMIAL9AAMA/fIB/fABIA0gAv0AAyD98gH98AEhCiAHQRBqIQcgAkFAayECIAFBAmoiASAIRw0ACwsgJCsDACESICEgBiAK/SEAoiAhKwMAoDkDACAkIBIgBiAK/SEBoqA5AwAgIisDACESICMgBiAL/SEAoiAjKwMAoDkDACAiIBIgBiAL/SEBoqA5AwAgFEEEaiIUIBhIDQALCwJAIBggGk4NACAgIBdBA3RqIRQgCSAXIB1sQQN0aiEEIBghASADQQBKBEADQCABIBVsIQcgHyABIBtsQQN0aiEFRAAAAAAAAAAAIRJBACECIAQhAANAIBIgACsDACAFKwMAoqAgAP0AAwggBf0AAwj98gEiCv0hAKAgCv0hAaAgAP0AAxggBf0AAxj98gEiCv0hAKAgCv0hAaAgAP0AAyggBf0AAyj98gEiCv0hAKAgCv0hAaAgACsDOCAFKwM4oqAhEiAAQUBrIQAgBUFAayEFIAJBCGoiAiADSA0ACyAUIAdBA3RqIRYCQCADIAhODQBBACEHIAMhAiAZBEADQCACQQFqIQIgEiAAKwMAIAUrAwCioCESIAVBCGohBSAAQQhqIQAgB0EBaiIHIBlHDQALCyAcQQNJDQADQCASIAArAwAgBSsDAKKgIAArAwggBSsDCKKgIAArAxAgBSsDEKKgIAArAxggBSsDGKKgIRIgAEEgaiEAIAVBIGohBSACQQRqIgIgCEcNAAsLIBYgBiASoiAWKwMAoDkDACABQQFqIgEgGkcNAAwCCwALAkAgAyAITgRAQQAhACABIQUgHgRAA0AgFCAFIBVsQQN0aiIBIBMgASsDAKA5AwAgBUEBaiEFIABBAWoiACAeRw0ACwsgKkUNAQwCCwNAIB8gASAbbEEDdGohBUEAIQdEAAAAAAAAAAAhEiADIQIgBCEAIBkEQANAIAJBAWohAiASIAArAwAgBSsDAKKgIRIgBUEIaiEFIABBCGohACAHQQFqIgcgGUcNAAsLIBxBA08EQANAIBIgACsDACAFKwMAoqAgACsDCCAFKwMIoqAgACsDECAFKwMQoqAgACsDGCAFKwMYoqAhEiAAQSBqIQAgBUEgaiEFIAJBBGoiAiAIRw0ACwsgFCABIBVsQQN0aiIAIAYgEqIgACsDAKA5AwAgGiABQQFqIgFHDQALDAELA0AgFCAFIBVsQQN0aiIAIBMgACsDAKA5AwAgFCAVIAVBAWpsQQN0aiIAIBMgACsDAKA5AwAgFCAVIAVBAmpsQQN0aiIAIBMgACsDAKA5AwAgFCAVIAVBA2psQQN0aiIAIBMgACsDAKA5AwAgBUEEaiIFIBpHDQALCyAXQQFqIhcgJkcNAAsLICVBEGokAAuDAgEHfyABIAAoAggiAyAAKAIEIgJrQQJ1TQRAIAAgAQR/IAFBAnQiAARAIAJBACAA/AsACyAAIAJqBSACCzYCBA8LAkAgAiAAKAIAIgJrIgZBAnUiBSABaiIEQYCAgIAESQRAQf////8DIAMgAmsiA0EBdSIIIAQgBCAISRsgA0H8////B08bIgQEQCAEQYCAgIAETw0CIARBAnQQEiEHCyAGIAdqIQMgAUECdCIBBEAgA0EAIAH8CwALIAMgBUECdGshBSAGBEAgBSACIAb8CgAACyAAIAcgBEECdGo2AgggACABIANqNgIEIAAgBTYCACACBEAgAhARCw8LEBMACxAfAAsNACAAKAIAELkDGiAACw0AIAAoAgAQvwMaIAALwwEBAn8gASgCBCECAkACQAJAAn8gASgCACIBIAAoAgRGBEAgASEDIAIgACgCCCACRg0BGgsgASACckEASA0BAkAgAUUNACACRQ0AIAFB/////wcgAm1KDQMLIAAgASACbCABIAIQGyAAKAIEIQMgACgCCAsgASADRw0CIAJHDQIPC0GRwgBB/iBBlQJB3yQQAAALQQQQFyIAQYjhAjYCACAAQeDgAjYCACAAQazhAkECEAEAC0HGD0HXHEH9BUGhJhAAAAvTAQEFfyMAQRBrIgUkAAJAIAIgAC0AC0EHdgR/IAAoAghB/////wdxQQFrBUEKCyIDAn8gAC0AC0EHdgRAIAAoAgQMAQsgAC0AC0H/AHELIgRrTQRAIAJFIgMNAQJ/IAAtAAtBB3YEQCAAKAIADAELIAALIgYgBGohBwJAIAMNACADDQAgByABIAL8CgAACyAAIAIgBGoiARBsIAVBADoADyABIAZqIAUtAA86AAAMAQsgACADIAIgA2sgBGogBCAEQQAgAiABEJgBCyAFQRBqJAAgAAsEAEEACxgAIAAtAABBIHFFBEAgASACIAAQ0AEaCwt1AQF+IAAgASAEfiACIAN+fCADQiCIIgIgAUIgiCIEfnwgA0L/////D4MiAyABQv////8PgyIBfiIFQiCIIAMgBH58IgNCIIh8IAEgAn4gA0L/////D4N8IgFCIIh8NwMIIAAgBUL/////D4MgAUIghoQ3AwALBQAQIAALaAEBfyMAQRBrIgUkACAFIAI2AgwgBSAENgIIIAVBBGogBUEMahBUIAAgASADIAUoAggQvQEhASgCACIABEBBoIMDKAIAGiAABEBBoIMDQfjxAiAAIABBf0YbNgIACwsgBUEQaiQAIAEL7QEBAn8CfyAALQALQQd2BEAgACgCBAwBCyAALQALQf8AcQshBAJAIAIgAWtBBUgNACAERQ0AIAEgAhC2ASACQQRrIQQCfyAALQALQQd2BEAgACgCBAwBCyAALQALQf8AcQsCfyAALQALQQd2BEAgACgCAAwBCyAACyICaiEFAkADQAJAIAIsAAAhACABIARPDQACQCAAQQBMDQAgAEH/AE4NACAAIAEoAgBHDQMLIAFBBGohASACIAUgAmtBAUpqIQIMAQsLIABBAEwNASAAQf8ATg0BIAIsAAAgBCgCAEEBa0sNAQsgA0EENgIACwtrAQF/IwBBgAJrIgUkAAJAIAIgA0wNACAEQYDABHENACAFIAEgAiADayIDQYACIANBgAJJIgEbEKMBIAFFBEADQCAAIAVBgAIQNSADQYACayIDQf8BSw0ACwsgACAFIAMQNQsgBUGAAmokAAtQAQF+AkAgA0HAAHEEQCABIANBQGqthiECQgAhAQwBCyADRQ0AIAIgA60iBIYgAUHAACADa62IhCECIAEgBIYhAQsgACABNwMAIAAgAjcDCAvzBgINfwF+IwBBIGsiBCQAIAEEQCAEENMDNwMYIwBBEGsiASQAIAEgBCkDGDcDACMAQRBrIgMkACMAQRBrIgIkACACIAEpAwBCwIQ9fzcDACACIAIpAwA3AwggAikDCCEPIAJBEGokACADQRBqJAAgASAPNwMIIAEpAwghDyABQRBqJAAgBCAPNwMQENkDIAQpAxBB0OwCEApB+OwCQYjtAkGE7QJB8OwCKAIAGygCADYCACAEQe/LADYCDCAEQdDsAjYCCCMAQRBrIggkAAJAIAhBBGpBgIUDEGYiDC0AAEEBRw0AIAhBDGoiAkGAhQMoAgBBDGsoAgBBgIUDaigCHCIBNgIAIAFBrI4DRwRAIAEgASgCBEEBajYCBAsgAkHEjQMQFSELIAIQGEGAhQMoAgBBDGsoAgBBgIUDaiIGKAIYIQMCQCAGLQBQQQFGBEAgBigATCEBDAELIAhBDGoiAiAGKAIcIgE2AgAgAUGsjgNHBEAgASABKAIEQQFqNgIECyACQeSPAxAVIgFBICABKAIAKAIcEQMAIQEgAhAYIAYgATYATCAGQQE6AFALIAHAIQ0gBCgCCCEOIAQoAgwiARBLIAFqIQojAEEQayIFJAAgBSADNgIMIAVBCGoiAyAGKAIcIgI2AgAgAkGsjgNHBEAgAiACKAIEQQFqNgIECyADQeSPAxAVIQcgAxAYAkACQANAIAEgCkYNAgJAAkAgByABLAAAQQAgBygCACgCJBEEAEElRgRAIAogAUEBaiICRgRAIAEhAgwFCwJAAkAgByACLAAAQQAgBygCACgCJBEEACIJQc8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pe()},put_char(n,F){F===null||F===10?(r(pA(n.output)),n.output=[]):F!=0&&n.output.push(F)},fsync(n){n.output&&n.output.length>0&&(r(pA(n.output)),n.output=[])},ioctl_tcgets(n){return{c_iflag:25856,c_oflag:5,c_cflag:191,c_lflag:35387,c_cc:[3,28,127,21,4,0,1,0,17,19,26,0,18,15,23,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}},ioctl_tcsets(n,F,K){return 0},ioctl_tiocgwinsz(n){return[24,80]}},default_tty1_ops:{put_char(n,F){F===null||F===10?(d(pA(n.output)),n.output=[]):F!=0&&n.output.push(F)},fsync(n){n.output&&n.output.length>0&&(d(pA(n.output)),n.output=[])}}},Og=(n,F)=>Math.ceil(n/F)*F,xg=n=>{_A()},De={ops_table:null,mount(n){return De.createNode(null,"/",16895,0)},createNode(n,F,K,W){if(J.isBlkdev(K)||J.isFIFO(K))throw new J.ErrnoError(63);De.ops_table||={dir:{node:{getattr:De.node_ops.getattr,setattr:De.node_ops.setattr,lookup:De.node_ops.lookup,mknod:De.node_ops.mknod,rename:De.node_ops.rename,unlink:De.node_ops.unlink,rmdir:De.node_ops.rmdir,readdir:De.node_ops.readdir,symlink:De.node_ops.symlink},stream:{llseek:De.stream_ops.llseek}},file:{node:{getattr:De.node_ops.getattr,setattr:De.node_ops.setattr},stream:{llseek:De.stream_ops.llseek,read:De.stream_ops.read,write:De.stream_ops.write,allocate:De.stream_ops.allocate,mmap:De.stream_ops.mmap,msync:De.stream_ops.msync}},link:{node:{getattr:De.node_ops.getattr,setattr:De.node_ops.setattr,readlink:De.node_ops.readlink},stream:{}},chrdev:{node:{getattr:De.node_ops.getattr,setattr:De.node_ops.setattr},stream:J.chrdev_stream_ops}};var iA=J.createNode(n,F,K,W);return J.isDir(iA.mode)?(iA.node_ops=De.ops_table.dir.node,iA.stream_ops=De.ops_table.dir.stream,iA.contents={}):J.isFile(iA.mode)?(iA.node_ops=De.ops_table.file.node,iA.stream_ops=De.ops_table.file.stream,iA.usedBytes=0,iA.contents=null):J.isLink(iA.mode)?(iA.node_ops=De.ops_table.link.node,iA.stream_ops=De.ops_table.link.stream):J.isChrdev(iA.mode)&&(iA.node_ops=De.ops_table.chrdev.node,iA.stream_ops=De.ops_table.chrdev.stream),iA.atime=iA.mtime=iA.ctime=Date.now(),n&&(n.contents[F]=iA,n.atime=n.mtime=n.ctime=iA.atime),iA},getFileDataAsTypedArray(n){return n.contents?n.contents.subarray?n.contents.subarray(0,n.usedBytes):new Uint8Array(n.contents):new Uint8Array(0)},expandFileStorage(n,F){var K=n.contents?n.contents.length:0;if(!(K>=F)){var W=1024*1024;F=Math.max(F,K*(K<W?2:1.125)>>>0),K!=0&&(F=Math.max(F,256));var iA=n.contents;n.contents=new Uint8Array(F),n.usedBytes>0&&n.contents.set(iA.subarray(0,n.usedBytes),0)}},resizeFileStorage(n,F){if(n.usedBytes!=F)if(F==0)n.contents=null,n.usedBytes=0;else{var K=n.contents;n.contents=new Uint8Array(F),K&&n.contents.set(K.subarray(0,Math.min(F,n.usedBytes))),n.usedBytes=F}},node_ops:{getattr(n){var F={};return F.dev=J.isChrdev(n.mode)?n.id:1,F.ino=n.id,F.mode=n.mode,F.nlink=1,F.uid=0,F.gid=0,F.rdev=n.rdev,J.isDir(n.mode)?F.size=4096:J.isFile(n.mode)?F.size=n.usedBytes:J.isLink(n.mode)?F.size=n.link.length:F.size=0,F.atime=new Date(n.atime),F.mtime=new Date(n.mtime),F.ctime=new Date(n.ctime),F.blksize=4096,F.blocks=Math.ceil(F.size/F.blksize),F},setattr(n,F){for(const K of["mode","atime","mtime","ctime"])F[K]!=null&&(n[K]=F[K]);F.size!==void 0&&De.resizeFileStorage(n,F.size)},lookup(n,F){throw De.doesNotExistError},mknod(n,F,K,W){return De.createNode(n,F,K,W)},rename(n,F,K){var W;try{W=J.lookupNode(F,K)}catch{}if(W){if(J.isDir(n.mode))for(var iA in W.contents)throw new J.ErrnoError(55);J.hashRemoveNode(W)}delete n.parent.contents[n.name],F.contents[K]=n,n.name=K,F.ctime=F.mtime=n.parent.ctime=n.parent.mtime=Date.now()},unlink(n,F){delete n.contents[F],n.ctime=n.mtime=Date.now()},rmdir(n,F){var K=J.lookupNode(n,F);for(var W in K.contents)throw new J.ErrnoError(55);delete n.contents[F],n.ctime=n.mtime=Date.now()},readdir(n){return[".","..",...Object.keys(n.contents)]},symlink(n,F,K){var W=De.createNode(n,F,41471,0);return W.link=K,W},readlink(n){if(!J.isLink(n.mode))throw new J.ErrnoError(28);return n.link}},stream_ops:{read(n,F,K,W,iA){var QA=n.node.contents;if(iA>=n.node.usedBytes)return 0;var uA=Math.min(n.node.usedBytes-iA,W);if(uA>8&&QA.subarray)F.set(QA.subarray(iA,iA+uA),K);else for(var RA=0;RA<uA;RA++)F[K+RA]=QA[iA+RA];return uA},write(n,F,K,W,iA,QA){if(F.buffer===u.buffer&&(QA=!1),!W)return 0;var uA=n.node;if(uA.mtime=uA.ctime=Date.now(),F.subarray&&(!uA.contents||uA.contents.subarray)){if(QA)return uA.contents=F.subarray(K,K+W),uA.usedBytes=W,W;if(uA.usedBytes===0&&iA===0)return uA.contents=F.slice(K,K+W),uA.usedBytes=W,W;if(iA+W<=uA.usedBytes)return uA.contents.set(F.subarray(K,K+W),iA),W}if(De.expandFileStorage(uA,iA+W),uA.contents.subarray&&F.subarray)uA.contents.set(F.subarray(K,K+W),iA);else for(var RA=0;RA<W;RA++)uA.contents[iA+RA]=F[K+RA];return uA.usedBytes=Math.max(uA.usedBytes,iA+W),W},llseek(n,F,K){var W=F;if(K===1?W+=n.position:K===2&&J.isFile(n.node.mode)&&(W+=n.node.usedBytes),W<0)throw new J.ErrnoError(28);return W},allocate(n,F,K){De.expandFileStorage(n.node,F+K),n.node.usedBytes=Math.max(n.node.usedBytes,F+K)},mmap(n,F,K,W,iA){if(!J.isFile(n.node.mode))throw new J.ErrnoError(43);var QA,uA,RA=n.node.contents;if(!(iA&2)&&RA&&RA.buffer===u.buffer)uA=!1,QA=RA.byteOffset;else{if(uA=!0,QA=xg(),!QA)throw new J.ErrnoError(48);RA&&((K>0||K+F<RA.length)&&(RA.subarray?RA=RA.subarray(K,K+F):RA=Array.prototype.slice.call(RA,K,K+F)),u.set(RA,QA))}return{ptr:QA,allocated:uA}},msync(n,F,K,W,iA){return De.stream_ops.write(n,F,0,W,K,!1),0}}},gg=async n=>{var F=await Q(n);return new Uint8Array(F)},kg=(n,F,K,W,iA,QA)=>{J.createDataFile(n,F,K,W,iA,QA)},bI=I.preloadPlugins||[],xI=(n,F,K,W)=>{typeof Browser<"u"&&Browser.init();var iA=!1;return bI.forEach(QA=>{iA||QA.canHandle(F)&&(QA.handle(n,F,K,W),iA=!0)}),iA},pI=(n,F,K,W,iA,QA,uA,RA,Ce,Ke)=>{var aA=F?Ae.resolve(HA.join2(n,F)):n;function R(H){function $(oA){Ke?.(),RA||kg(n,F,oA,W,iA,Ce),QA?.(),YA()}xI(H,aA,$,()=>{uA?.(),YA()})||$(H)}nA(),typeof K=="string"?gg(K).then(R,uA):R(K)},yI=n=>{var F={r:0,"r+":2,w:577,"w+":578,a:1089,"a+":1090},K=F[n];if(typeof K>"u")throw new Error(`Unknown file open mode: ${n}`);return K},de=(n,F)=>{var K=0;return n&&(K|=365),F&&(K|=146),K},J={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:!1,ignorePermissions:!0,ErrnoError:class{name="ErrnoError";constructor(n){this.errno=n}},filesystems:null,syncFSRequests:0,readFiles:{},FSStream:class{shared={};get object(){return this.node}set object(n){this.node=n}get isRead(){return(this.flags&2097155)!==1}get isWrite(){return(this.flags&2097155)!==0}get isAppend(){return this.flags&1024}get flags(){return this.shared.flags}set flags(n){this.shared.flags=n}get position(){return this.shared.position}set position(n){this.shared.position=n}},FSNode:class{node_ops={};stream_ops={};readMode=365;writeMode=146;mounted=null;constructor(n,F,K,W){n||(n=this),this.parent=n,this.mount=n.mount,this.id=J.nextInode++,this.name=F,this.mode=K,this.rdev=W,this.atime=this.mtime=this.ctime=Date.now()}get read(){return(this.mode&this.readMode)===this.readMode}set read(n){n?this.mode|=this.readMode:this.mode&=~this.readMode}get write(){return(this.mode&this.writeMode)===this.writeMode}set write(n){n?this.mode|=this.writeMode:this.mode&=~this.writeMode}get isFolder(){return J.isDir(this.mode)}get isDevice(){return J.isChrdev(this.mode)}},lookupPath(n,F={}){if(!n)throw new J.ErrnoError(44);F.follow_mount??=!0,HA.isAbs(n)||(n=J.cwd()+"/"+n);A:for(var K=0;K<40;K++){for(var W=n.split("/").filter(Ke=>!!Ke),iA=J.root,QA="/",uA=0;uA<W.length;uA++){var RA=uA===W.length-1;if(RA&&F.parent)break;if(W[uA]!=="."){if(W[uA]===".."){QA=HA.dirname(QA),iA=iA.parent;continue}QA=HA.join2(QA,W[uA]);try{iA=J.lookupNode(iA,W[uA])}catch(Ke){if(Ke?.errno===44&&RA&&F.noent_okay)return{path:QA};throw Ke}if(J.isMountpoint(iA)&&(!RA||F.follow_mount)&&(iA=iA.mounted.root),J.isLink(iA.mode)&&(!RA||F.follow)){if(!iA.node_ops.readlink)throw new J.ErrnoError(52);var Ce=iA.node_ops.readlink(iA);HA.isAbs(Ce)||(Ce=HA.dirname(QA)+"/"+Ce),n=Ce+"/"+W.slice(uA+1).join("/");continue A}}}return{path:QA,node:iA}}throw new J.ErrnoError(32)},getPath(n){for(var F;;){if(J.isRoot(n)){var K=n.mount.mountpoint;return F?K[K.length-1]!=="/"?`${K}/${F}`:K+F:K}F=F?`${n.name}/${F}`:n.name,n=n.parent}},hashName(n,F){for(var K=0,W=0;W<F.length;W++)K=(K<<5)-K+F.charCodeAt(W)|0;return(n+K>>>0)%J.nameTable.length},hashAddNode(n){var F=J.hashName(n.parent.id,n.name);n.name_next=J.nameTable[F],J.nameTable[F]=n},hashRemoveNode(n){var F=J.hashName(n.parent.id,n.name);if(J.nameTable[F]===n)J.nameTable[F]=n.name_next;else for(var K=J.nameTable[F];K;){if(K.name_next===n){K.name_next=n.name_next;break}K=K.name_next}},lookupNode(n,F){var K=J.mayLookup(n);if(K)throw new J.ErrnoError(K);for(var W=J.hashName(n.id,F),iA=J.nameTable[W];iA;iA=iA.name_next){var QA=iA.name;if(iA.parent.id===n.id&&QA===F)return iA}return J.lookup(n,F)},createNode(n,F,K,W){var iA=new J.FSNode(n,F,K,W);return J.hashAddNode(iA),iA},destroyNode(n){J.hashRemoveNode(n)},isRoot(n){return n===n.parent},isMountpoint(n){return!!n.mounted},isFile(n){return(n&61440)===32768},isDir(n){return(n&61440)===16384},isLink(n){return(n&61440)===40960},isChrdev(n){return(n&61440)===8192},isBlkdev(n){return(n&61440)===24576},isFIFO(n){return(n&61440)===4096},isSocket(n){return(n&49152)===49152},flagsToPermissionString(n){var F=["r","w","rw"][n&3];return n&512&&(F+="w"),F},nodePermissions(n,F){return J.ignorePermissions?0:F.includes("r")&&!(n.mode&292)||F.includes("w")&&!(n.mode&146)||F.includes("x")&&!(n.mode&73)?2:0},mayLookup(n){if(!J.isDir(n.mode))return 54;var F=J.nodePermissions(n,"x");return F||(n.node_ops.lookup?0:2)},mayCreate(n,F){if(!J.isDir(n.mode))return 54;try{var K=J.lookupNode(n,F);return 20}catch{}return J.nodePermissions(n,"wx")},mayDelete(n,F,K){var W;try{W=J.lookupNode(n,F)}catch(QA){return QA.errno}var iA=J.nodePermissions(n,"wx");if(iA)return iA;if(K){if(!J.isDir(W.mode))return 54;if(J.isRoot(W)||J.getPath(W)===J.cwd())return 10}else if(J.isDir(W.mode))return 31;return 0},mayOpen(n,F){return n?J.isLink(n.mode)?32:J.isDir(n.mode)&&(J.flagsToPermissionString(F)!=="r"||F&576)?31:J.nodePermissions(n,J.flagsToPermissionString(F)):44},checkOpExists(n,F){if(!n)throw new J.ErrnoError(F);return n},MAX_OPEN_FDS:4096,nextfd(){for(var n=0;n<=J.MAX_OPEN_FDS;n++)if(!J.streams[n])return n;throw new J.ErrnoError(33)},getStreamChecked(n){var F=J.getStream(n);if(!F)throw new J.ErrnoError(8);return F},getStream:n=>J.streams[n],createStream(n,F=-1){return n=Object.assign(new J.FSStream,n),F==-1&&(F=J.nextfd()),n.fd=F,J.streams[F]=n,n},closeStream(n){J.streams[n]=null},dupStream(n,F=-1){var K=J.createStream(n,F);return K.stream_ops?.dup?.(K),K},chrdev_stream_ops:{open(n){var F=J.getDevice(n.node.rdev);n.stream_ops=F.stream_ops,n.stream_ops.open?.(n)},llseek(){throw new J.ErrnoError(70)}},major:n=>n>>8,minor:n=>n&255,makedev:(n,F)=>n<<8|F,registerDevice(n,F){J.devices[n]={stream_ops:F}},getDevice:n=>J.devices[n],getMounts(n){for(var F=[],K=[n];K.length;){var W=K.pop();F.push(W),K.push(...W.mounts)}return F},syncfs(n,F){typeof n=="function"&&(F=n,n=!1),J.syncFSRequests++,J.syncFSRequests>1&&d(`warning: ${J.syncFSRequests} FS.syncfs operations in flight at once, probably just doing extra work`);var K=J.getMounts(J.root.mount),W=0;function iA(uA){return J.syncFSRequests--,F(uA)}function QA(uA){if(uA)return QA.errored?void 0:(QA.errored=!0,iA(uA));++W>=K.length&&iA(null)}K.forEach(uA=>{if(!uA.type.syncfs)return QA(null);uA.type.syncfs(uA,n,QA)})},mount(n,F,K){var W=K==="/",iA=!K,QA;if(W&&J.root)throw new J.ErrnoError(10);if(!W&&!iA){var uA=J.lookupPath(K,{follow_mount:!1});if(K=uA.path,QA=uA.node,J.isMountpoint(QA))throw new J.ErrnoError(10);if(!J.isDir(QA.mode))throw new J.ErrnoError(54)}var RA={type:n,opts:F,mountpoint:K,mounts:[]},Ce=n.mount(RA);return Ce.mount=RA,RA.root=Ce,W?J.root=Ce:QA&&(QA.mounted=RA,QA.mount&&QA.mount.mounts.push(RA)),Ce},unmount(n){var F=J.lookupPath(n,{follow_mount:!1});if(!J.isMountpoint(F.node))throw new J.ErrnoError(28);var K=F.node,W=K.mounted,iA=J.getMounts(W);Object.keys(J.nameTable).forEach(uA=>{for(var RA=J.nameTable[uA];RA;){var Ce=RA.name_next;iA.includes(RA.mount)&&J.destroyNode(RA),RA=Ce}}),K.mounted=null;var QA=K.mount.mounts.indexOf(W);K.mount.mounts.splice(QA,1)},lookup(n,F){return n.node_ops.lookup(n,F)},mknod(n,F,K){var W=J.lookupPath(n,{parent:!0}),iA=W.node,QA=HA.basename(n);if(!QA)throw new J.ErrnoError(28);if(QA==="."||QA==="..")throw new J.ErrnoError(20);var uA=J.mayCreate(iA,QA);if(uA)throw new J.ErrnoError(uA);if(!iA.node_ops.mknod)throw new J.ErrnoError(63);return iA.node_ops.mknod(iA,QA,F,K)},statfs(n){return J.statfsNode(J.lookupPath(n,{follow:!0}).node)},statfsStream(n){return J.statfsNode(n.node)},statfsNode(n){var F={bsize:4096,frsize:4096,blocks:1e6,bfree:5e5,bavail:5e5,files:J.nextInode,ffree:J.nextInode-1,fsid:42,flags:2,namelen:255};return n.node_ops.statfs&&Object.assign(F,n.node_ops.statfs(n.mount.opts.root)),F},create(n,F=438){return F&=4095,F|=32768,J.mknod(n,F,0)},mkdir(n,F=511){return F&=1023,F|=16384,J.mknod(n,F,0)},mkdirTree(n,F){for(var K=n.split("/"),W="",iA=0;iA<K.length;++iA)if(K[iA]){W+="/"+K[iA];try{J.mkdir(W,F)}catch(QA){if(QA.errno!=20)throw QA}}},mkdev(n,F,K){return typeof K>"u"&&(K=F,F=438),F|=8192,J.mknod(n,F,K)},symlink(n,F){if(!Ae.resolve(n))throw new J.ErrnoError(44);var K=J.lookupPath(F,{parent:!0}),W=K.node;if(!W)throw new J.ErrnoError(44);var iA=HA.basename(F),QA=J.mayCreate(W,iA);if(QA)throw new J.ErrnoError(QA);if(!W.node_ops.symlink)throw new J.ErrnoError(63);return W.node_ops.symlink(W,iA,n)},rename(n,F){var K=HA.dirname(n),W=HA.dirname(F),iA=HA.basename(n),QA=HA.basename(F),uA,RA,Ce;if(uA=J.lookupPath(n,{parent:!0}),RA=uA.node,uA=J.lookupPath(F,{parent:!0}),Ce=uA.node,!RA||!Ce)throw new J.ErrnoError(44);if(RA.mount!==Ce.mount)throw new J.ErrnoError(75);var Ke=J.lookupNode(RA,iA),aA=Ae.relative(n,W);if(aA.charAt(0)!==".")throw new J.ErrnoError(28);if(aA=Ae.relative(F,K),aA.charAt(0)!==".")throw new J.ErrnoError(55);var R;try{R=J.lookupNode(Ce,QA)}catch{}if(Ke!==R){var H=J.isDir(Ke.mode),$=J.mayDelete(RA,iA,H);if($)throw new J.ErrnoError($);if($=R?J.mayDelete(Ce,QA,H):J.mayCreate(Ce,QA),$)throw new J.ErrnoError($);if(!RA.node_ops.rename)throw new J.ErrnoError(63);if(J.isMountpoint(Ke)||R&&J.isMountpoint(R))throw new J.ErrnoError(10);if(Ce!==RA&&($=J.nodePermissions(RA,"w"),$))throw new J.ErrnoError($);J.hashRemoveNode(Ke);try{RA.node_ops.rename(Ke,Ce,QA),Ke.parent=Ce}catch(oA){throw oA}finally{J.hashAddNode(Ke)}}},rmdir(n){var F=J.lookupPath(n,{parent:!0}),K=F.node,W=HA.basename(n),iA=J.lookupNode(K,W),QA=J.mayDelete(K,W,!0);if(QA)throw new J.ErrnoError(QA);if(!K.node_ops.rmdir)throw new J.ErrnoError(63);if(J.isMountpoint(iA))throw new J.ErrnoError(10);K.node_ops.rmdir(K,W),J.destroyNode(iA)},readdir(n){var F=J.lookupPath(n,{follow:!0}),K=F.node,W=J.checkOpExists(K.node_ops.readdir,54);return W(K)},unlink(n){var 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QA=J.lookupPath(n,{follow:!(F&131072),noent_okay:!0});W=QA.node,n=QA.path}var uA=!1;if(F&64)if(W){if(F&128)throw new J.ErrnoError(20)}else{if(iA)throw new J.ErrnoError(31);W=J.mknod(n,K|511,0),uA=!0}if(!W)throw new J.ErrnoError(44);if(J.isChrdev(W.mode)&&(F&=-513),F&65536&&!J.isDir(W.mode))throw new J.ErrnoError(54);if(!uA){var RA=J.mayOpen(W,F);if(RA)throw new J.ErrnoError(RA)}F&512&&!uA&&J.truncate(W,0),F&=-131713;var Ce=J.createStream({node:W,path:J.getPath(W),flags:F,seekable:!0,position:0,stream_ops:W.stream_ops,ungotten:[],error:!1});return Ce.stream_ops.open&&Ce.stream_ops.open(Ce),uA&&J.chmod(W,K&511),I.logReadFiles&&!(F&1)&&(n in J.readFiles||(J.readFiles[n]=1)),Ce},close(n){if(J.isClosed(n))throw new J.ErrnoError(8);n.getdents&&(n.getdents=null);try{n.stream_ops.close&&n.stream_ops.close(n)}catch(F){throw F}finally{J.closeStream(n.fd)}n.fd=null},isClosed(n){return n.fd===null},llseek(n,F,K){if(J.isClosed(n))throw new J.ErrnoError(8);if(!n.seekable||!n.stream_ops.llseek)throw 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H=J.open(Ce,577);J.write(H,K,0,K.length,0,QA),J.close(H),J.chmod(Ce,RA)}},createDevice(n,F,K,W){var iA=HA.join2(typeof n=="string"?n:J.getPath(n),F),QA=de(!!K,!!W);J.createDevice.major??=64;var uA=J.makedev(J.createDevice.major++,0);return J.registerDevice(uA,{open(RA){RA.seekable=!1},close(RA){W?.buffer?.length&&W(10)},read(RA,Ce,Ke,aA,R){for(var H=0,$=0;$<aA;$++){var oA;try{oA=K()}catch{throw new J.ErrnoError(29)}if(oA===void 0&&H===0)throw new J.ErrnoError(6);if(oA==null)break;H++,Ce[Ke+$]=oA}return H&&(RA.node.atime=Date.now()),H},write(RA,Ce,Ke,aA,R){for(var H=0;H<aA;H++)try{W(Ce[Ke+H])}catch{throw new J.ErrnoError(29)}return aA&&(RA.node.mtime=RA.node.ctime=Date.now()),H}}),J.mkdev(iA,QA,uA)},forceLoadFile(n){if(n.isDevice||n.isFolder||n.link||n.contents)return!0;if(typeof XMLHttpRequest<"u")throw new Error("Lazy loading should have been performed (contents set) in createLazyFile, but it was not. 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iA=xe.getStreamFromFD(n);W=iA.path}if(F.length==0){if(!K)throw new J.ErrnoError(44);return W}return W+"/"+F},writeStat(n,F){h[n>>2]=F.dev,h[n+4>>2]=F.mode,y[n+8>>2]=F.nlink,h[n+12>>2]=F.uid,h[n+16>>2]=F.gid,h[n+20>>2]=F.rdev,M[n+24>>3]=BigInt(F.size),h[n+32>>2]=4096,h[n+36>>2]=F.blocks;var K=F.atime.getTime(),W=F.mtime.getTime(),iA=F.ctime.getTime();return M[n+40>>3]=BigInt(Math.floor(K/1e3)),y[n+48>>2]=K%1e3*1e3*1e3,M[n+56>>3]=BigInt(Math.floor(W/1e3)),y[n+64>>2]=W%1e3*1e3*1e3,M[n+72>>3]=BigInt(Math.floor(iA/1e3)),y[n+80>>2]=iA%1e3*1e3*1e3,M[n+88>>3]=BigInt(F.ino),0},writeStatFs(n,F){h[n+4>>2]=F.bsize,h[n+40>>2]=F.bsize,h[n+8>>2]=F.blocks,h[n+12>>2]=F.bfree,h[n+16>>2]=F.bavail,h[n+20>>2]=F.files,h[n+24>>2]=F.ffree,h[n+28>>2]=F.fsid,h[n+44>>2]=F.flags,h[n+36>>2]=F.namelen},doMsync(n,F,K,W,iA){if(!J.isFile(F.node.mode))throw new J.ErrnoError(43);if(W&2)return 0;var QA=D.slice(n,n+K);J.msync(F,QA,iA,K,W)},getStreamFromFD(n){var F=J.getStreamChecked(n);return F},varargs:void 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must be a multiple of 8 (BigInt).");let e=A.byteLength/8,I=new BigInt64Array(A.buffer,A.byteOffset,e),i=new Int32Array(e);for(let t=0;t<e;t++){let C=I[t];if(C>2147483647n||C<-2147483648n)throw new Error(`Overflow occurred when converting BigInt to Int32 at index ${t}: ${C}`);i[t]=Number(C)}return g?new Uint8Array(i.buffer):i},Os=(A,g=!0)=>{if(A.byteLength%4!==0)throw new Error("Invalid Uint8Array length - must be a multiple of 4 (Int32).");let e=A.byteLength/4,I=new Int32Array(A.buffer,A.byteOffset,e),i=BigInt64Array.from(I,BigInt);return g?new Uint8Array(i.buffer):i},Ul=1,Ws=()=>Ul++,Jl=new Map([["float32",32],["float16",16],["int32",32],["uint32",32],["int64",64],["uint64",64],["int8",8],["uint8",8],["int4",4],["uint4",4]]),js=(A,g)=>{let e=Jl.get(A);if(!e)throw new Error("Unsupported data type.");return g.length>0?Math.ceil(g.reduce((I,i)=>I*i)*e/8):0},Vs=class{constructor(A){this.shouldConvertInt64toInt32=!1,this.isInt64ToInt32Converted=!1;let{sessionId:g,context:e,tensor:I,dataType:i,shape:t,shouldConvertInt64toInt32:C=!1}=A;this.sessionId=g,this.mlContext=e,this.mlTensor=I,this.dataType=i,this.tensorShape=t,this.shouldConvertInt64toInt32=C}get tensor(){return this.mlTensor}get type(){return this.dataType}get shape(){return this.tensorShape}get byteLength(){return js(this.dataType,this.tensorShape)}destroy(){Oe("verbose",()=>"[WebNN] TensorWrapper.destroy"),this.mlTensor.destroy()}write(A){this.mlContext.writeTensor(this.mlTensor,A)}async read(A,g){if(A){let e=await this.mlContext.readTensor(this.mlTensor),I=Os(new Uint8Array(e));if(g){(g instanceof ArrayBuffer?new Uint8Array(g):new Uint8Array(g.buffer,g.byteOffset,g.byteLength)).set(I);return}else return I.buffer}else return g?this.mlContext.readTensor(this.mlTensor,g):this.mlContext.readTensor(this.mlTensor)}canReuseTensor(A,g,e){return this.mlContext===A&&this.dataType===g&&this.tensorShape.length===e.length&&this.tensorShape.every((I,i)=>I===e[i])}setIsInt64ToInt32Converted(A){this.isInt64ToInt32Converted=A}},zs=class{constructor(A,g){this.tensorManager=A,this.wrapper=g}get tensorWrapper(){return this.wrapper}releaseTensor(){this.tensorWrapper&&(this.tensorManager.releaseTensor(this.tensorWrapper),this.wrapper=void 0)}async ensureTensor(A,g,e,I){let i=g,t=this.tensorManager.getMLContext(A),C=i==="int64"&&!t.opSupportLimits().input.dataTypes.includes("int64");if(C&&(i="int32",Oe("verbose",()=>"[WebNN] TensorIdTracker.ensureTensor: convert dataType from int64 to int32")),this.wrapper){if(this.wrapper.canReuseTensor(t,i,e))return this.wrapper.tensor;if(I){if(this.wrapper.byteLength!==js(i,e))throw new Error("Unable to copy data to tensor with different size.");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let o=typeof MLTensorUsage>"u"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(A,i,e,o,!0,!0,C),I&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(A){let g=A;if(this.wrapper)if(this.wrapper.shouldConvertInt64toInt32&&(g=JB(A,!0),this.wrapper.setIsInt64ToInt32Converted(!0)),g.byteLength===this.wrapper.byteLength){this.wrapper.write(g);return}else Oe("verbose",()=>"Data size does not match tensor size. Releasing tensor."),this.releaseTensor();this.activeUpload?this.activeUpload.set(g):this.activeUpload=new Uint8Array(g)}async download(A){if(this.activeUpload){let g=this.wrapper?.isInt64ToInt32Converted?Os(this.activeUpload):this.activeUpload;if(A){A instanceof ArrayBuffer?new Uint8Array(A).set(g):new Uint8Array(A.buffer,A.byteOffset,A.byteLength).set(g);return}else return g.buffer}if(!this.wrapper)throw new Error("Tensor has not been created.");return A?this.wrapper.read(this.wrapper?.shouldConvertInt64toInt32,A):this.wrapper.read(this.wrapper?.shouldConvertInt64toInt32)}},bl=class{constructor(A){this.backend=A,this.tensorTrackersById=new Map,this.freeTensors=[],this.externalTensors=new Set}getMLContext(A){let g=this.backend.getMLContext(A);if(!g)throw new Error("MLContext not found for session.");return g}reserveTensorId(){let A=Ws();return this.tensorTrackersById.set(A,new zs(this)),A}releaseTensorId(A){let g=this.tensorTrackersById.get(A);g&&(this.tensorTrackersById.delete(A),g.tensorWrapper&&this.releaseTensor(g.tensorWrapper))}async ensureTensor(A,g,e,I,i){Oe("verbose",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${g}, dataType: ${e}, shape: ${I}, copyOld: ${i}}`);let t=this.tensorTrackersById.get(g);if(!t)throw new Error("Tensor not found.");return t.ensureTensor(A,e,I,i)}upload(A,g){let e=this.tensorTrackersById.get(A);if(!e)throw new Error("Tensor not found.");e.upload(g)}async download(A,g){Oe("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${A}, dstBuffer: ${g?.byteLength}}`);let e=this.tensorTrackersById.get(A);if(!e)throw new Error("Tensor not found.");return e.download(g)}releaseTensorsForSession(A){for(let g of this.freeTensors)g.sessionId===A&&g.destroy();this.freeTensors=this.freeTensors.filter(g=>g.sessionId!==A)}registerTensor(A,g,e,I){let i=this.getMLContext(A),t=Ws(),C=new Vs({sessionId:A,context:i,tensor:g,dataType:e,shape:I});return this.tensorTrackersById.set(t,new zs(this,C)),this.externalTensors.add(C),t}async getCachedTensor(A,g,e,I,i,t,C=!1){let o=this.getMLContext(A);for(let[B,Q]of this.freeTensors.entries())if(Q.canReuseTensor(o,g,e)){Oe("verbose",()=>`[WebNN] Reusing tensor {dataType: ${g}, shape: ${e}}`);let a=this.freeTensors.splice(B,1)[0];return a.sessionId=A,a}Oe("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${g}, shape: ${e}}`);let s=await o.createTensor({dataType:g,shape:e,dimensions:e,usage:I,writable:i,readable:t});return new Vs({sessionId:A,context:o,tensor:s,dataType:g,shape:e,shouldConvertInt64toInt32:C})}releaseTensor(A){this.externalTensors.has(A)&&this.externalTensors.delete(A),this.freeTensors.push(A)}},Ku=(...A)=>new bl(...A)}),vo,xl,Uu,Sy=VA(()=>{Fe(),Ni(),Lu(),Fy(),OI(),vo=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),xl=(A,g)=>{if(A===g)return!0;if(A===void 0||g===void 0)return!1;let e=Object.keys(A).sort(),I=Object.keys(g).sort();return e.length===I.length&&e.every((i,t)=>i===I[t]&&A[i]===g[i])},Uu=class{constructor(A){this.tensorManager=Ku(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.temporaryGraphInputs=[],this.temporarySessionTensorIds=new Map,sr(A.logLevel,!!A.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw new Error("No active session");return this.activeSessionId}onRunStart(A){Oe("verbose",()=>`[WebNN] onRunStart {sessionId: ${A}}`),this.activeSessionId=A}onRunEnd(A){Oe("verbose",()=>`[WebNN] onRunEnd {sessionId: ${A}}`);let g=this.temporarySessionTensorIds.get(A);if(g){for(let e of g)Oe("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${e}}`),this.tensorManager.releaseTensorId(e);this.temporarySessionTensorIds.delete(A),this.activeSessionId=void 0}}async createMLContext(A){if(A instanceof GPUDevice){let e=this.mlContextCache.findIndex(I=>I.gpuDevice===A);if(e!==-1)return this.mlContextCache[e].mlContext;{let I=await navigator.ml.createContext(A);return this.mlContextCache.push({gpuDevice:A,mlContext:I}),I}}else if(A===void 0){let e=this.mlContextCache.findIndex(I=>I.options===void 0&&I.gpuDevice===void 0);if(e!==-1)return this.mlContextCache[e].mlContext;{let I=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:I}),I}}let g=this.mlContextCache.findIndex(e=>xl(e.options,A));if(g!==-1)return this.mlContextCache[g].mlContext;{let e=await navigator.ml.createContext(A);return this.mlContextCache.push({options:A,mlContext:e}),e}}registerMLContext(A,g){this.mlContextBySessionId.set(A,g);let e=this.sessionIdsByMLContext.get(g);e||(e=new Set,this.sessionIdsByMLContext.set(g,e)),e.add(A),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(A,this.temporaryGraphInputs),this.temporaryGraphInputs=[])}onReleaseSession(A){this.sessionGraphInputs.delete(A);let g=this.mlContextBySessionId.get(A);if(!g)return;this.tensorManager.releaseTensorsForSession(A),this.mlContextBySessionId.delete(A);let e=this.sessionIdsByMLContext.get(g);if(e.delete(A),e.size===0){this.sessionIdsByMLContext.delete(g);let I=this.mlContextCache.findIndex(i=>i.mlContext===g);I!==-1&&this.mlContextCache.splice(I,1)}}getMLContext(A){return this.mlContextBySessionId.get(A)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(A){Oe("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${A}}`),this.tensorManager.releaseTensorId(A)}async ensureTensor(A,g,e,I,i){let t=vo.get(e);if(!t)throw new Error(`Unsupported ONNX data type: ${e}`);return this.tensorManager.ensureTensor(A??this.currentSessionId,g,t,I,i)}async createTemporaryTensor(A,g,e){Oe("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${g}, shape: ${e}}`);let I=vo.get(g);if(!I)throw new Error(`Unsupported ONNX data type: ${g}`);let i=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(A,i,I,e,!1);let t=this.temporarySessionTensorIds.get(A);return t?t.push(i):this.temporarySessionTensorIds.set(A,[i]),i}uploadTensor(A,g){if(!sg().shouldTransferToMLTensor)throw new Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");Oe("verbose",()=>`[WebNN] uploadTensor {tensorId: ${A}, data: ${g.byteLength}}`),this.tensorManager.upload(A,g)}async downloadTensor(A,g){return this.tensorManager.download(A,g)}createMLTensorDownloader(A,g){return async()=>{let e=await this.tensorManager.download(A);return Br(e,g)}}registerMLTensor(A,g,e,I){let i=vo.get(e);if(!i)throw new Error(`Unsupported ONNX data type: ${e}`);let t=this.tensorManager.registerTensor(A,g,i,I);return Oe("verbose",()=>`[WebNN] registerMLTensor {tensor: ${g}, dataType: ${i}, dimensions: ${I}} -> {tensorId: ${t}}`),t}registerMLConstant(A,g,e,I,i,t,C=!1){if(!t)throw new Error("External mounted files are not available.");let o=A;A.startsWith("./")&&(o=A.substring(2));let s=t.get(o);if(!s)throw new Error(`File with name ${o} not found in preloaded files.`);if(g+e>s.byteLength)throw new Error("Out of bounds: data offset and length exceed the external file data size.");let B=s.slice(g,g+e).buffer,Q;switch(i.dataType){case"float32":Q=new Float32Array(B);break;case"float16":Q=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(B):new Uint16Array(B);break;case"int32":Q=new Int32Array(B);break;case"uint32":Q=new Uint32Array(B);break;case"int64":C?(Q=JB(new Uint8Array(B),!1),i.dataType="int32"):Q=new BigInt64Array(B);break;case"uint64":Q=new BigUint64Array(B);break;case"int8":Q=new Int8Array(B);break;case"int4":case"uint4":case"uint8":Q=new Uint8Array(B);break;default:throw new Error(`Unsupported data type: ${i.dataType} in creating WebNN Constant from external data.`)}return Oe("verbose",()=>`[WebNN] registerMLConstant {dataType: ${i.dataType}, shape: ${i.shape}}} ${C?"(Note: it was int64 data type and registered to int32 as workaround)":""}`),I.constant(i,Q)}registerGraphInput(A){this.temporaryGraphInputs.push(A)}isGraphInput(A,g){let e=this.sessionGraphInputs.get(A);return e?e.includes(g):!1}isInt64Supported(A){return!!this.mlContextBySessionId.get(A)?.opSupportLimits().input.dataTypes.includes("int64")}flush(){}}}),rr=VA(()=>{}),$s,qo,Oo,Tl,Yl,Xs,bB,Hl,Ju,Ny=VA(()=>{OI(),rr(),$s=new Map([[64,250],[128,200],[256,200],[512,200],[2048,230],[4096,200],[8192,50],[16384,50],[32768,50],[65536,50],[131072,50],[262144,50],[524288,50],[1048576,50],[2097152,30],[4194304,20],[8388608,10],[12582912,10],[16777216,10],[26214400,15],[33554432,22],[44236800,2],[58982400,6],[67108864,6],[134217728,6],[167772160,6]]),qo=[],Oo=A=>Math.ceil(Number(A)/16)*16,Tl=A=>{for(let g=0;g<qo.length;g++){let e=qo[g];if(A<=e)return e}return Math.ceil(A/16)*16},Yl=1,Xs=()=>Yl++,bB=async(A,g,e,I)=>{let i=Oo(e),t=A.device.createBuffer({size:i,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});try{let C=A.getCommandEncoder();A.endComputePass(),C.copyBufferToBuffer(g,0,t,0,i),A.flush(),await t.mapAsync(GPUMapMode.READ);let o=t.getMappedRange();if(I){let s=I();return s.set(new Uint8Array(o,0,e)),s}else return new Uint8Array(o.slice(0,e))}finally{t.destroy()}},Hl=class{constructor(A){this.backend=A,this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.buffersPending=[],this.capturedPendingBuffers=new Map;for(let[g]of $s)qo.push(g),this.freeBuffers.set(g,[]),this.freeUniformBuffers.set(g,[]);this.sessionCount=0}upload(A,g){let e=g.buffer,I=g.byteOffset,i=g.byteLength,t=Oo(i),C=this.storageCache.get(A);if(!C)throw new Error("gpu data for uploading does not exist");if(Number(C.originalSize)!==i)throw new Error(`inconsistent data size. gpu data size=${C.originalSize}, data size=${i}`);let o=this.backend.device.createBuffer({mappedAtCreation:!0,size:t,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC}),s=o.getMappedRange();new Uint8Array(s).set(new Uint8Array(e,I,i)),o.unmap();let B=this.backend.device.createCommandEncoder();B.copyBufferToBuffer(o,0,C.gpuData.buffer,0,t),this.backend.device.queue.submit([B.finish()]),o.destroy(),Oe("verbose",()=>`[WebGPU] GpuDataManager.upload(id=${A})`)}memcpy(A,g){let e=this.storageCache.get(A);if(!e)throw new Error("source gpu data for memcpy does not exist");let I=this.storageCache.get(g);if(!I)throw new Error("destination gpu data for memcpy does not exist");if(e.originalSize!==I.originalSize)throw new Error("inconsistent source and destination gpu data size");let i=Oo(e.originalSize),t=this.backend.getCommandEncoder();this.backend.endComputePass(),t.copyBufferToBuffer(e.gpuData.buffer,0,I.gpuData.buffer,0,i)}registerExternalBuffer(A,g,e){let I;if(e){if(I=e[0],A===e[1])return Oe("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${g}) => id=${I}, buffer is the same, skip.`),I;if(this.backend.capturedCommandList.has(this.backend.currentSessionId))throw new Error(`Registering a different external buffer under graph capture mode is not supported yet.
             Please use the previous external buffer!`)}else I=Xs();return this.storageCache.set(I,{gpuData:{id:I,type:0,buffer:A},originalSize:g}),Oe("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${g}) => id=${I}, registered.`),I}unregisterExternalBuffer(A){A!==void 0&&(this.storageCache.delete(A),Oe("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${A}`))}create(A,g=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let e=Tl(A),I,i=(g&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,t=(g&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(i||t){let o=(i?this.freeBuffers:this.freeUniformBuffers).get(e);o?o.length>0?I=o.pop():I=this.backend.device.createBuffer({size:e,usage:g}):I=this.backend.device.createBuffer({size:e,usage:g})}else I=this.backend.device.createBuffer({size:e,usage:g});let C={id:Xs(),type:0,buffer:I};return this.storageCache.set(C.id,{gpuData:C,originalSize:Number(A)}),Oe("verbose",()=>`[WebGPU] GpuDataManager.create(size=${A}) => id=${C.id}`),C}get(A){return this.storageCache.get(A)?.gpuData}release(A){let g=typeof A=="bigint"?Number(A):A,e=this.storageCache.get(g);if(!e){if(this.storageCache.size===0)return 0;throw new Error("releasing data does not exist")}return Oe("verbose",()=>`[WebGPU] GpuDataManager.release(id=${g}), gpuDataId=${e.gpuData.id}`),this.storageCache.delete(g),this.buffersPending.push(e.gpuData.buffer),e.originalSize}async download(A,g){let e=this.storageCache.get(Number(A));if(!e)throw new Error("data does not exist");await bB(this.backend,e.gpuData.buffer,e.originalSize,g)}refreshPendingBuffers(){if(this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let A of this.buffersPending){let g=$s.get(A.size);if((A.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let e=this.freeBuffers.get(A.size)||[];g===void 0||e.length>=g?A.destroy():e.push(A)}else if((A.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let e=this.freeUniformBuffers.get(A.size)||[];g===void 0||e.length>=g?A.destroy():e.push(A)}else A.destroy()}this.buffersPending=[]}else{let A=this.capturedPendingBuffers.get(this.backend.currentSessionId);A||(A=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,A));for(let g of this.buffersPending)A.push(g);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(A=>{A.forEach(g=>{g.destroy()})}),this.freeUniformBuffers.forEach(A=>{A.forEach(g=>{g.destroy()})}),this.storageCache.forEach(A=>{A.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(A=>{A.forEach(g=>{g.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onCreateSession(){this.sessionCount+=1}onReleaseSession(A){let g=this.capturedPendingBuffers.get(A);g&&(g.forEach(e=>{e.destroy()}),this.capturedPendingBuffers.delete(A)),this.sessionCount-=1,this.sessionCount===0&&(Oe("warning",()=>"[WebGPU] Clearing webgpu buffer 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    current = rest${P};
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  fn get_${A}ByIndices(indices: ${r.indices}) -> ${Q} {
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  fn set_${A}ByIndices(indices: ${r.indices}, value: ${Q}) {
    ${T(`i2o_${A}(indices)`,"value")}
  }`,dA=C<2?"":(()=>{let P=o.map(z=>`d${z}: u32`).join(", "),U=o.map(z=>`d${z}`).join(", ");return`
  fn set_${A}(${P}, value: ${Q}) {
    set_${A}ByIndices(${_(U)}, value);
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    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(local_invocation_index) local_idx : u32,
    @builtin(local_invocation_id) local_id : vec3<u32>`:`@builtin(global_invocation_id) global_id : vec3<u32>,
                                             @builtin(local_invocation_id) local_id : vec3<u32>,
    @builtin(local_invocation_index) local_idx : u32,
    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(num_workgroups) num_workgroups : vec3<u32>`,C=i?`let global_idx = global_id.x;
         let workgroup_index = workgroup_id.x;`:`let workgroup_index = workgroup_id.z * num_workgroups[0] * num_workgroups[1] +
             workgroup_id.y * num_workgroups[0] + workgroup_id.x;
         let global_idx = workgroup_index * ${g*e*I}u + local_idx;`;return`@compute @workgroup_size(${g}, ${e}, ${I})
  fn main(${t}) {
    ${C}
  `}appendVariableUniforms(A){A.rank!==0&&(A.shape.startsWith("uniforms.")&&this.uniforms.push({name:A.shape.replace("uniforms.",""),type:"u32",length:A.rank}),A.strides.startsWith("uniforms.")&&this.uniforms.push({name:A.strides.replace("uniforms.",""),type:"u32",length:A.rank}))}declareVariable(A,g){if(A.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(A),this.appendVariableUniforms(A);let e=A.usage==="input"?"read":"read_write",I=A.usage==="atomicOutput"?"atomic<i32>":A.type.storage;return`@group(0) @binding(${g}) var<storage, ${e}> ${A.name}: array<${I}>;`}declareVariables(...A){return A.map(g=>this.declareVariable(g,this.variableIndex++)).join(`
`)}registerInternalVariable(A){if(A.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(A),this.appendVariableUniforms(A)}registerInternalVariables(...A){return A.forEach(g=>this.registerInternalVariable(g)),this}registerUniform(A,g,e=1){return this.uniforms.push({name:A,type:g,length:e}),this}registerUniforms(A){return this.uniforms=this.uniforms.concat(A),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let A=[];for(let{name:g,type:e,length:I}of this.uniforms)if(I&&I>4)e==="f16"?A.push(`@align(16) ${g}:array<mat2x4<${e}>, ${Math.ceil(I/8)}>`):A.push(`${g}:array<vec4<${e}>, ${Math.ceil(I/4)}>`);else{let i=I==null||I===1?e:`vec${I}<${e}>`;A.push(`${g}:${i}`)}return`
      struct Uniforms { ${A.join(", ")} };
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`)+this.internalVariables.map(A=>A.impl()).join(`
`)}get variablesInfo(){if(this.uniforms.length===0)return;let A=g=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(g)];return this.uniforms.map(g=>[A(g.type),g.length??1])}},xu=(A,g)=>new vl(A,g)}),ql,Zs,Ol,Wl,jl,Vl,QI,Tu,Yu,ii=VA(()=>{Fe(),Le(),fg(),Je(),ql=(A,g)=>{if(!A||A.length!==1)throw new Error("Transpose requires 1 input.");if(g.length!==0&&g.length!==A[0].dims.length)throw new Error(`perm size ${g.length} does not match input rank ${A[0].dims.length}`)},Zs=(A,g)=>g.length!==0?g:[...new Array(A).keys()].reverse(),Ol=(A,g)=>FA.sortBasedOnPerm(A,Zs(A.length,g)),Wl=(A,g,e,I)=>{let i=`fn perm(i: ${I.type.indices}) -> ${e.type.indices} {
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  ${c.registerUniform("output_size","u32").declareVariables(f,k)}
  ${c.mainStart()}
    ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    output[global_idx] = input[global_idx];
  }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let c=FA.size(t);return{outputs:[{dims:t,dataType:A.dataType}],dispatchGroup:{x:Math.ceil(c/64/4)},programUniforms:[{type:12,data:Math.ceil(c/4)}]}},getShaderSource:B};let{newShape:Q,newPerm:a}=jl(A.dims,i),r=FA.areEqual(a,[2,3,1]),d=FA.areEqual(a,[3,1,2]);if(Q.length===2||r||d){C=r?[Q[0],Q[1]*Q[2]]:d?[Q[0]*Q[1],Q[2]]:Q,o=[C[1],C[0]];let c=16;return B=f=>{let k=UA("a",e,C.length),u=le("output",e,o.length);return`
  ${f.registerUniform("output_size","u32").declareVariables(k,u)}
  var<workgroup> tile : array<array<${u.type.value}, ${c+1}>, ${c}>;
  ${f.mainStart([c,c,1])}
    let stride = (uniforms.output_shape[1] - 1) / ${c} + 1;
    let workgroup_id_x = workgroup_index % stride;
    let workgroup_id_y = workgroup_index / stride;
    let input_col = workgroup_id_y * ${c}u + local_id.x;
    let input_row = workgroup_id_x * ${c}u + local_id.y;
    if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) {
      tile[local_id.y][local_id.x] = ${k.getByIndices(`${k.type.indices}(input_row, input_col)`)};
    }
    workgroupBarrier();

    let output_col = workgroup_id_x * ${c}u + local_id.x;
    let output_row = workgroup_id_y * ${c}u + local_id.y;
    if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) {
      ${u.setByIndices(`${u.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")}
    }
  }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let f=FA.size(t);return{outputs:[{dims:t,dataType:A.dataType}],dispatchGroup:{x:Math.ceil(o[1]/c),y:Math.ceil(o[0]/c)},programUniforms:[{type:12,data:f},...he(C,o)]}},getShaderSource:B}}return B=c=>{let f=UA("a",e,C.length),k=le("output",e,o.length);return`
  ${c.registerUniform("output_size","u32").declareVariables(f,k)}

  ${Wl(i,I,f,k)}

  ${c.mainStart()}
    ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${k.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${k.setByOffset("global_idx",f.getByIndices("aIndices"))}
  }`},{name:"Transpose",shaderCache:{hint:`${g}`,inputDependencies:["rank"]},getRunData:()=>{let c=FA.size(t);return{outputs:[{dims:t,dataType:A.dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:[{type:12,data:c},...he(C,o)]}},getShaderSource:B}},Tu=(A,g)=>{ql(A.inputs,g.perm),A.compute(QI(A.inputs[0],g.perm))},Yu=A=>$e({perm:A.perm})}),zl,$l,Xl,Zl,Ac,ec,gc,Ic,ic,tc,SI,Hu,Pu,vu,qu,Ou,Wu,ju,Vu,zu,$u,Ry=VA(()=>{Fe(),Le(),Je(),Qr(),ii(),zl={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},$l={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},Xl={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Zl={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Ac=(A,g)=>{let e=[];for(let I=g-A;I<g;++I)e.push(I);return e},ec=(A,g)=>{let e=[],I=A.length;for(let t=0;t<I;t++)g.indexOf(t)===-1&&e.push(A[t]);let i=g.map(t=>A[t]);return[e,i]},gc=(A,g)=>{let e=A.length+g.length,I=[],i=0;for(let t=0;t<e;t++)g.indexOf(t)===-1?I.push(A[i++]):I.push(1);return I},Ic=(A,g)=>{for(let e=0;e<A.length;++e)if(A[A.length-e-1]!==g-1-e)return!1;return!0},ic=(A,g)=>{let e=[];if(!Ic(A,g)){for(let I=0;I<g;++I)A.indexOf(I)===-1&&e.push(I);A.forEach(I=>e.push(I))}return e},tc=(A,g,e,I,i,t,C)=>{let o=e[0].dims,s=FA.size(t),B=FA.size(C),Q=UA("_A",e[0].dataType,o),a=le("output",i,t),r=64;s===1&&(r=256);let d=`
          var<workgroup> aBestValues : array<f32, ${r}>;
       `,c=f=>`
        ${f.registerUniform("reduceSize","u32").declareVariables(Q,a)}
        ${d}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${f.mainStart(r)}

          let outputIndex = global_idx / ${r};
          let offset = outputIndex * uniforms.reduceSize;

          var bestValue = f32(${Xl[I]});
          let Length = uniforms.reduceSize;
          for (var k = local_idx; k < Length; k = k + ${r}) {
           let candidate = f32(${Q.getByOffset("offset + k")});
           bestValue = ${zl[I]};
          }
          aBestValues[local_idx] = bestValue;
          workgroupBarrier();

         var reduceSize = min(Length, ${r}u);
         for (var currentSize = reduceSize / 2u; reduceSize > 1u;
             currentSize = reduceSize / 2u) {
           let interval = DIV_CEIL(reduceSize, 2u);
           if (local_idx < currentSize) {
            let candidate = aBestValues[local_idx + interval];
            bestValue = ${$l[I]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
          ${a.setByOffset("outputIndex",`${I==="mean"?`${a.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${a.type.storage}(${Zl[I]})`}`)};
         }
        }`;return{name:A,shaderCache:{hint:`${g};${r}`,inputDependencies:["type"]},getShaderSource:c,getRunData:()=>({outputs:[{dims:t,dataType:i}],dispatchGroup:{x:s},programUniforms:[{type:12,data:B}]})}},SI=(A,g,e,I)=>{let i=A.inputs.length===1?e:TB(A.inputs,e),t=i.axes;t.length===0&&!i.noopWithEmptyAxes&&(t=A.inputs[0].dims.map((d,c)=>c));let C=FA.normalizeAxes(t,A.inputs[0].dims.length),o=C,s=A.inputs[0],B=ic(o,A.inputs[0].dims.length);B.length>0&&(s=A.compute(QI(A.inputs[0],B),{inputs:[0],outputs:[-1]})[0],o=Ac(o.length,s.dims.length));let[Q,a]=ec(s.dims,o),r=Q;i.keepDims&&(r=gc(Q,C)),A.compute(tc(g,i.cacheKey,[s],I,A.inputs[0].dataType,r,a),{inputs:[s]})},Hu=(A,g)=>{SI(A,"ReduceMeanShared",g,"mean")},Pu=(A,g)=>{SI(A,"ReduceL1Shared",g,"l1")},vu=(A,g)=>{SI(A,"ReduceL2Shared",g,"l2")},qu=(A,g)=>{SI(A,"ReduceLogSumExpShared",g,"logSumExp")},Ou=(A,g)=>{SI(A,"ReduceMaxShared",g,"max")},Wu=(A,g)=>{SI(A,"ReduceMinShared",g,"min")},ju=(A,g)=>{SI(A,"ReduceProdShared",g,"prod")},Vu=(A,g)=>{SI(A,"ReduceSumShared",g,"sum")},zu=(A,g)=>{SI(A,"ReduceSumSquareShared",g,"sumSquare")},$u=(A,g)=>{SI(A,"ReduceLogSumShared",g,"logSum")}}),NI,oc,sC,TB,RI,Cc,sc,Bc,rc,ac,Qc,Ec,nc,lc,cc,_I,Xu,Zu,AD,eD,gD,ID,iD,tD,oD,CD,Qr=VA(()=>{Fe(),Le(),fg(),Je(),Ry(),NI=A=>{if(!A||A.length===0||A.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(A.length===2&&A[1].dims.length!==1)throw new Error("Invalid axes input dims.")},oc=A=>["","",`var value = ${A.getByIndices("input_indices")};`,""],sC=(A,g,e,I,i,t,C=!1,o=!1)=>{let s=[],B=e[0].dims,Q=B.length,a=FA.normalizeAxes(i,Q),r=!o&&a.length===0;B.forEach((f,k)=>{r||a.indexOf(k)>=0?C&&s.push(1):s.push(f)});let d=s.length,c=FA.size(s);return{name:A,shaderCache:g,getShaderSource:f=>{let k=[],u=UA("_A",e[0].dataType,Q),D=le("output",t,d),G=I(u,D,a),h=G[2];for(let y=0,M=0;y<Q;y++)r||a.indexOf(y)>=0?(C&&M++,h=`for(var j${y}: u32 = 0; j${y} < ${B[y]}; j${y}++) {
                  ${G[2].includes("last_index")?`let last_index = j${y};`:""}
                  ${u.indicesSet("input_indices",y,`j${y}`)}
                  ${h}
                }`):(k.push(`${u.indicesSet("input_indices",y,D.indicesGet("output_indices",M))};`),M++);return`

        ${f.registerUniform("output_size","u32").declareVariables(u,D)}

        ${f.mainStart()}
          ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          var input_indices: ${u.type.indices};
          let output_indices = ${D.offsetToIndices("global_idx")};

          ${k.join(`
`)}
          ${G[0]}       // init ops for reduce max/min
          ${G[1]}
          ${h}
          ${G[3]}
          ${G.length===4?D.setByOffset("global_idx","value"):G.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:s,dataType:t}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:[{type:12,data:c},...he(B,s)]})}},TB=(A,g)=>{let e=[];return A[1].dims[0]>0&&A[1].getBigInt64Array().forEach(I=>e.push(Number(I))),$e({axes:e,keepDims:g.keepDims,noopWithEmptyAxes:g.noopWithEmptyAxes})},RI=(A,g,e,I)=>{let i=A.inputs,t=i.length===1?e:TB(i,e);A.compute(sC(g,{hint:t.cacheKey,inputDependencies:["rank"]},[i[0]],t.noopWithEmptyAxes&&t.axes.length===0?oc:I,t.axes,i[0].dataType,t.keepDims,t.noopWithEmptyAxes),{inputs:[0]})},Cc=(A,g)=>{NI(A.inputs),RI(A,"ReduceLogSum",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += ${e.getByIndices("input_indices")};`,"value = log(value);"])},sc=(A,g)=>{NI(A.inputs),RI(A,"ReduceL1",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += abs(${e.getByIndices("input_indices")});`,""])},Bc=(A,g)=>{NI(A.inputs),RI(A,"ReduceL2",g,(e,I)=>[`var t = ${I.type.value}(0); var value = ${I.type.value}(0);`,"",`t = ${e.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},rc=(A,g)=>{NI(A.inputs),RI(A,"ReduceLogSumExp",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += exp(${e.getByIndices("input_indices")});`,"value = log(value);"])},ac=(A,g)=>{NI(A.inputs),RI(A,"ReduceMax",g,(e,I,i)=>{let t=[];for(let C=0;C<e.rank;C++)(i.indexOf(C)>=0||i.length===0)&&t.push(e.indicesSet("input_indices",C,0));return[`${t.join(`
`)}`,`var value = ${e.getByIndices("input_indices")};`,`value = max(value, ${e.getByIndices("input_indices")});`,""]})},Qc=(A,g)=>{NI(A.inputs),RI(A,"ReduceMean",g,(e,I,i)=>{let t=1;for(let C=0;C<e.rank;C++)(i.indexOf(C)>=0||i.length===0)&&(t*=A.inputs[0].dims[C]);return["var sum = f32(0);","",`sum += f32(${e.getByIndices("input_indices")});`,`let value = ${I.type.value}(sum / ${t});`]})},Ec=(A,g)=>{NI(A.inputs),RI(A,"ReduceMin",g,(e,I,i)=>{let t=[];for(let C=0;C<e.rank;C++)(i.indexOf(C)>=0||i.length===0)&&t.push(`input_indices[${C}] = 0;`);return[`${t.join(`
`)}`,`var value = ${e.getByIndices("input_indices")};`,`value = min(value, ${e.getByIndices("input_indices")});`,""]})},nc=(A,g)=>{NI(A.inputs),RI(A,"ReduceProd",g,(e,I)=>[`var value = ${I.type.storage}(1);`,"",`value *= ${e.getByIndices("input_indices")};`,""])},lc=(A,g)=>{NI(A.inputs),RI(A,"ReduceSum",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += ${e.getByIndices("input_indices")};`,""])},cc=(A,g)=>{NI(A.inputs),RI(A,"ReduceSumSquare",g,(e,I)=>[`var t = ${I.type.value}(0); var value = ${I.type.value}(0);`,"",`t = ${e.getByIndices("input_indices")}; value += t * t;`,""])},_I=(A,g,e)=>{if(g.length===0)return e;let I=1,i=1;for(let t=0;t<g.length;t++)g.indexOf(t)===-1?I*=A[t]:i*=A[t];return i<32&&I>1024},Xu=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?Qc(A,g):Hu(A,g)},Zu=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?sc(A,g):Pu(A,g)},AD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?Bc(A,g):vu(A,g)},eD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?rc(A,g):qu(A,g)},gD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?ac(A,g):Ou(A,g)},ID=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?Ec(A,g):Wu(A,g)},iD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?nc(A,g):ju(A,g)},tD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?lc(A,g):Vu(A,g)},oD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?cc(A,g):zu(A,g)},CD=(A,g)=>{_I(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?Cc(A,g):$u(A,g)}}),AB,sD,BD,YB,_y=VA(()=>{Fe(),fg(),Qr(),AB=A=>{if(!A||A.length===0||A.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(A[0].dataType!==1)throw new Error("Invalid input type.")},sD=(A,g)=>{AB(A.inputs);let e=(I,i,t)=>{let C=[];for(let o=0;o<I.rank;o++)(t.indexOf(o)>=0||t.length===0)&&C.push(`input_indices[${o}] = 0;`);return[`${C.join(`
`)}`,`var value = ${I.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${I.getByIndices("input_indices")} ${g.selectLastIndex>0?"<=":"<"} value) {
         value = ${I.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",i.setByOffset("global_idx","best_index")]};A.compute(sC("ArgMin",{hint:g.cacheKey,inputDependencies:["rank"]},[A.inputs[0]],e,[g.axis],7,g.keepDims),{inputs:[0]})},BD=(A,g)=>{AB(A.inputs);let e=(I,i,t)=>{let C=[];for(let o=0;o<I.rank;o++)(t.indexOf(o)>=0||t.length===0)&&C.push(`input_indices[${o}] = 0;`);return[`${C.join(`
`)}`,`var value = ${I.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${I.getByIndices("input_indices")} ${g.selectLastIndex>0?">=":">"} value) {
         value = ${I.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",i.setByOffset("global_idx","best_index")]};A.compute(sC("argMax",{hint:g.cacheKey,inputDependencies:["rank"]},[A.inputs[0]],e,[g.axis],7,g.keepDims),{inputs:[0]})},YB=A=>$e(A)}),dc,jo,hc,uc,Dc,jt,wc,rD,Er=VA(()=>{Fe(),Le(),rr(),Je(),dc=(A,g)=>{let e=A[0],I=A[1],i=A[2],t=A[3],C=A[4],o=A[5];if(C&&o)throw new Error("Attention cannot have both past and attention_bias");if(e.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let s=e.dims[0],B=e.dims[1],Q=e.dims[2];if(i.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(I.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(I.dims[0]!==Q)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==I.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let a=i.dims[0]/3,r=a,d=r;if(g.qkvHiddenSizes.length>0){if(g.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let G of g.qkvHiddenSizes)if(G%g.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");a=g.qkvHiddenSizes[0],r=g.qkvHiddenSizes[1],d=g.qkvHiddenSizes[2]}let c=B;if(a!==r)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==a+r+d)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let f=0;if(C){if(r!==d)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(C.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(C.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(C.dims[1]!==s)throw new Error('Input "past" second dimension must be batch_size');if(C.dims[2]!==g.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(C.dims[4]!==r/g.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');g.pastPresentShareBuffer||(f=C.dims[3])}let k=c+f,u=-1,D=0;if(t)throw new Error("Mask not supported");if(C)throw new Error("past is not supported");if(o){if(o.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(o.dims[0]!==s||o.dims[1]!==g.numHeads||o.dims[2]!==B||o.dims[3]!==k)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:s,sequenceLength:B,pastSequenceLength:f,kvSequenceLength:c,totalSequenceLength:k,maxSequenceLength:u,inputHiddenSize:Q,hiddenSize:a,vHiddenSize:d,headSize:Math.floor(a/g.numHeads),vHeadSize:Math.floor(d/g.numHeads),numHeads:g.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:g.maskFilterValue,maskType:D,scale:g.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},jo=(A,g,e)=>g&&A?`
      let total_sequence_length_input = u32(${g.getByOffset("0")});
      let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);
      let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;
      let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;
      total_sequence_length = u32(${A?.getByOffset("batchIdx")}) + 1;
      var past_sequence_length: u32 = 0;
      if (is_first_prompt == false) {
        past_sequence_length = total_sequence_length - sequence_length;
      }
       `:`
    ${e?"let past_sequence_length = uniforms.past_sequence_length":""};
    let present_sequence_length = total_sequence_length;
    `,hc=(A,g,e,I,i,t,C,o)=>{let s=Dg(C?1:t),B=64,Q=t/s;Q<B&&(B=32);let a=Math.ceil(t/s/B),r=[{type:12,data:g},{type:12,data:e},{type:12,data:I},{type:12,data:i},{type:12,data:Q},{type:12,data:a}],d=Hg(A.dataType,s),c=Xg(1,s),f=["type"];C&&f.push("type"),o&&f.push("type");let k=u=>{let D=le("x",A.dataType,A.dims,s),G=[D],h=C?UA("seq_lens",C.dataType,C.dims):void 0;h&&G.push(h);let y=o?UA("total_sequence_length_input",o.dataType,o.dims):void 0;y&&G.push(y);let M=Xg(A.dataType),m=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
  var<workgroup> thread_max: array<f32, ${B}>;
  var<workgroup> thread_sum: array<f32, ${B}>;
  ${u.registerUniforms(m).declareVariables(...G)}
  ${u.mainStart([B,1,1])}
    let batchIdx = workgroup_id.z / uniforms.num_heads;
    let headIdx = workgroup_id.z % uniforms.num_heads;
    let sequence_length = uniforms.sequence_length;
    var total_sequence_length = uniforms.total_sequence_length;
    ${jo(h,y,!1)}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = (global_idx / ${B}) * uniforms.total_sequence_length + local_offset;
    let seq_causal_length = ${C?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"};
    var thread_max_vector = ${c}(-3.402823e+38f);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
      thread_max_vector = max(${c}(x[offset + i]), thread_max_vector);
    }
    thread_max[local_idx] = ${(()=>{switch(s){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${s}`)}})()};
    workgroupBarrier();

    var max_value =  f32(-3.402823e+38f);
    for (var i = 0u; i < ${B}; i++) {
      max_value = max(thread_max[i], max_value);
    }

    var sum_vector = ${c}(0);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
      sum_vector += exp(${c}(x[offset + i]) - max_value);
    }
    thread_sum[local_idx] = ${(()=>{switch(s){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${s}`)}})()};
    workgroupBarrier();

    var sum: f32 = 0;
    for (var i = 0u; i < ${B}; i++) {
      sum += thread_sum[i];
    }

    if (sum == 0) {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        x[offset + i] = ${D.type.value}(${M}(1.0) / ${M}(seq_causal_length));
      }
    } else {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        var f32input = ${c}(x[offset + i]);
        x[offset + i] = ${D.type.value}(exp(f32input - max_value) / sum);
      }
    }
      ${C?`
        for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {
          x[offset + total_seq_id] = ${D.type.value}(${M}(0));
        }`:""};
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${B};${d};${s}`,inputDependencies:f},getShaderSource:k,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:g*e},programUniforms:r})}},uc=(A,g,e,I,i,t,C,o,s)=>{let B=C+t.kvSequenceLength,Q=[t.batchSize,t.numHeads,t.sequenceLength,B],a=A>1&&I,r=t.kvNumHeads?t.kvNumHeads:t.numHeads,d=a?[t.batchSize,r,B,t.headSize]:void 0,c=t.nReps?t.nReps:1,f=t.scale===0?1/Math.sqrt(t.headSize):t.scale,k=Dg(t.headSize),u=t.headSize/k,D=12,G={x:Math.ceil(B/D),y:Math.ceil(t.sequenceLength/D),z:t.batchSize*t.numHeads},h=[{type:12,data:t.sequenceLength},{type:12,data:u},{type:12,data:B},{type:12,data:t.numHeads},{type:12,data:t.headSize},{type:1,data:f},{type:12,data:C},{type:12,data:t.kvSequenceLength},{type:12,data:c}],y=a&&I&&FA.size(I.dims)>0,M=["type","type"];y&&M.push("type"),i&&M.push("type"),o&&M.push("type"),s&&M.push("type");let m=[{dims:Q,dataType:g.dataType,gpuDataType:0}];a&&m.push({dims:d,dataType:g.dataType,gpuDataType:0});let _=x=>{let b=UA("q",g.dataType,g.dims,k),X=UA("key",e.dataType,e.dims,k),Z=[b,X];if(y){let cA=UA("past_key",I.dataType,I.dims,k);Z.push(cA)}i&&Z.push(UA("attention_bias",i.dataType,i.dims));let T=o?UA("seq_lens",o.dataType,o.dims):void 0;T&&Z.push(T);let CA=s?UA("total_sequence_length_input",s.dataType,s.dims):void 0;CA&&Z.push(CA);let eA=le("output",g.dataType,Q),tA=[eA];a&&tA.push(le("present_key",g.dataType,d,k));let BA=Xg(1,k),sA=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
  const TILE_SIZE = ${D}u;

  var<workgroup> tileQ: array<${b.type.storage}, ${D*D}>;
  var<workgroup> tileK: array<${b.type.storage}, ${D*D}>;
  ${x.registerUniforms(sA).declareVariables(...Z,...tA)}
  ${x.mainStart([D,D,1])}
    // x holds the N and y holds the M
    let headIdx = workgroup_id.z % uniforms.num_heads;
    let kvHeadIdx = ${c===1?"headIdx":"headIdx / uniforms.n_reps"};
    let kv_num_heads = ${c===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
    let batchIdx = workgroup_id.z / uniforms.num_heads;
    let m = workgroup_id.y * TILE_SIZE;
    let n = workgroup_id.x * TILE_SIZE;
    let sequence_length = uniforms.M;
    var total_sequence_length = uniforms.N;
    ${jo(T,CA,!0)}
    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
    ${y&&a?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
    ${a?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
    var value = ${BA}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
      }
      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
      ${y&&a?`
              if (n + local_id.y < past_sequence_length) {
                tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
              } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
                tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x];
              }`:`
          if (n + local_id.y < uniforms.kv_sequence_length) {
            tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
          }`}
      ${a?`if (n + local_id.y < present_sequence_length) {
        present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];
      }`:""}
      }
      workgroupBarrier();

      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
          value += ${BA}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);
      }

      workgroupBarrier();
    }

    if (global_id.y < uniforms.M && global_id.x < total_sequence_length) {
      let headOffset = workgroup_id.z * uniforms.M * uniforms.N;
      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
      var sum: f32 = ${(()=>{switch(k){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${k}`)}})()};
        output[outputIdx] = ${eA.type.value} (sum * uniforms.alpha) + ${i?"attention_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${k};${i!==void 0};${I!==void 0};${A}`,inputDependencies:M},getRunData:()=>({outputs:m,dispatchGroup:G,programUniforms:h}),getShaderSource:_}},Dc=(A,g,e,I,i,t,C=void 0,o=void 0)=>{let s=t+i.kvSequenceLength,B=i.nReps?i.nReps:1,Q=i.vHiddenSize*B,a=A>1&&I,r=i.kvNumHeads?i.kvNumHeads:i.numHeads,d=a?[i.batchSize,r,s,i.headSize]:void 0,c=[i.batchSize,i.sequenceLength,Q],f=12,k={x:Math.ceil(i.vHeadSize/f),y:Math.ceil(i.sequenceLength/f),z:i.batchSize*i.numHeads},u=[{type:12,data:i.sequenceLength},{type:12,data:s},{type:12,data:i.vHeadSize},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:Q},{type:12,data:t},{type:12,data:i.kvSequenceLength},{type:12,data:B}],D=a&&I&&FA.size(I.dims)>0,G=["type","type"];D&&G.push("type"),C&&G.push("type"),o&&G.push("type");let h=[{dims:c,dataType:g.dataType,gpuDataType:0}];a&&h.push({dims:d,dataType:g.dataType,gpuDataType:0});let y=M=>{let m=UA("probs",g.dataType,g.dims),_=UA("v",e.dataType,e.dims),x=[m,_];D&&x.push(UA("past_value",I.dataType,I.dims));let b=C?UA("seq_lens",C.dataType,C.dims):void 0;C&&x.push(b);let X=o?UA("total_sequence_length_input",o.dataType,o.dims):void 0;o&&x.push(X);let Z=[le("output",g.dataType,c)];a&&Z.push(le("present_value",g.dataType,d));let T=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
  const TILE_SIZE = ${f}u;
  var<workgroup> tileQ: array<${m.type.value}, ${f*f}>;
  var<workgroup> tileV: array<${m.type.value}, ${f*f}>;
  ${M.registerUniforms(T).declareVariables(...x,...Z)}
  ${M.mainStart([f,f,1])}
   let headIdx = workgroup_id.z % uniforms.num_heads;
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let kvHeadIdx = ${B===1?"headIdx":"headIdx / uniforms.n_reps"};
   let kv_num_heads = ${B===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
   let m = global_id.y;
   let n = global_id.x;
   let sequence_length = uniforms.M;
   var total_sequence_length = uniforms.K;
   ${jo(b,X,!0)}
   let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
   let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch
   ${D&&a?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
   ${a?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""}
   var value = ${m.type.storage}(0);
   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
        ${D&&a?`
        if (w + local_id.y < past_sequence_length) {
          tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];
        } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
          tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N];
        }
      `:`
            if (w + local_id.y < uniforms.kv_sequence_length) {
              tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N];
            }`}
        ${a?`
            if (w + local_id.y < present_sequence_length) {
          present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx];
        }`:""}
      }
     workgroupBarrier();
     for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) {
       value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x];
     }
     workgroupBarrier();
   }

   // we need to transpose output from BNSH_v to BSND_v
   if (m < uniforms.M && n < uniforms.N) {
     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
       + headIdx * uniforms.N + n;
     output[outputIdx] = value;
   }
  }`};return{name:"AttentionScore",shaderCache:{hint:`${I!==void 0};${A}`,inputDependencies:G},getRunData:()=>({outputs:h,dispatchGroup:k,programUniforms:u}),getShaderSource:y}},jt=(A,g,e,I,i,t,C,o,s,B,Q=void 0,a=void 0)=>{let r=Math.min(A.outputCount,1+(C?1:0)+(o?1:0)),d=r>1?B.pastSequenceLength:0,c=d+B.kvSequenceLength,f=s&&FA.size(s.dims)>0?s:void 0,k=[g,e];r>1&&C&&FA.size(C.dims)>0&&k.push(C),f&&k.push(f),Q&&k.push(Q),a&&k.push(a);let u=A.compute(uc(r,g,e,C,f,B,d,Q,a),{inputs:k,outputs:r>1?[-1,1]:[-1]})[0];A.compute(hc(u,B.batchSize,B.numHeads,d,B.sequenceLength,c,Q,a),{inputs:Q&&a?[u,Q,a]:[u],outputs:[]});let D=[u,I];r>1&&o&&FA.size(o.dims)>0&&D.push(o),Q&&D.push(Q),a&&D.push(a),A.compute(Dc(r,u,I,o,B,d,Q,a),{inputs:D,outputs:r>1?[0,2]:[0]})},wc=(A,g)=>{let e=[g.batchSize,g.numHeads,g.sequenceLength,g.headSize],I=g.sequenceLength,i=g.inputHiddenSize,t=g.headSize,C=12,o={x:Math.ceil(g.headSize/C),y:Math.ceil(g.sequenceLength/C),z:g.batchSize*g.numHeads},s=[A.inputs[0],A.inputs[1],A.inputs[2]],B=[{type:12,data:I},{type:12,data:i},{type:12,data:t},{type:12,data:g.numHeads},{type:12,data:g.headSize},{type:12,data:g.hiddenSize},{type:12,data:g.hiddenSize+g.hiddenSize+g.vHiddenSize}],Q=a=>{let r=le("output_q",s[0].dataType,e),d=le("output_k",s[0].dataType,e),c=le("output_v",s[0].dataType,e),f=UA("input",s[0].dataType,s[0].dims),k=UA("weight",s[1].dataType,s[1].dims),u=UA("bias",s[2].dataType,s[2].dims),D=f.type.storage,G=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return`
  const TILE_SIZE = ${C}u;
  var<workgroup> tileInput: array<${D}, ${C*C}>;
  var<workgroup> tileWeightQ: array<${D}, ${C*C}>;
  var<workgroup> tileWeightK: array<${D}, ${C*C}>;
  var<workgroup> tileWeightV: array<${D}, ${C*C}>;
  ${a.registerUniforms(G).declareVariables(f,k,u,r,d,c)}
  ${a.mainStart([C,C,1])}
    let batchIndex = workgroup_id.z / uniforms.num_heads;
    let headNumber = workgroup_id.z % uniforms.num_heads;
    let m = global_id.y;
    let n = global_id.x;

    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;
    let biasOffsetQ = headNumber * uniforms.head_size;
    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;
    let biasOffsetV = uniforms.hidden_size + biasOffsetK;

    var valueQ = ${D}(0);
    var valueK = ${D}(0);
    var valueV = ${D}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        let offset = n + (w + local_id.y) * uniforms.ldb;
        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];
        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];
        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];
      }
      workgroupBarrier();
      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {
        let inputTileOffset = TILE_SIZE * local_id.y + k;
        let weightTileOffset = TILE_SIZE * k + local_id.x;
        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];
        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];
        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];
      }

      workgroupBarrier();
    }

    let headOffset = (m * uniforms.N + n) % uniforms.head_size;
    valueQ += bias[headOffset + biasOffsetQ];
    valueK += bias[headOffset + biasOffsetK];
    valueV += bias[headOffset + biasOffsetV];

    let offset = workgroup_id.z * uniforms.M * uniforms.N;
    if (m < uniforms.M && n < uniforms.N) {
      let outputIdx = offset + m * uniforms.N + n;
      output_q[outputIdx] = valueQ;
      output_k[outputIdx] = valueK;
      output_v[outputIdx] = valueV;
    }
  }`};return A.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:e,dataType:A.inputs[0].dataType,gpuDataType:0},{dims:e,dataType:A.inputs[0].dataType,gpuDataType:0},{dims:e,dataType:A.inputs[0].dataType,gpuDataType:0}],dispatchGroup:o,programUniforms:B}),getShaderSource:Q},{inputs:s,outputs:[-1,-1,-1]})},rD=(A,g)=>{let e=dc(A.inputs,g),[I,i,t]=wc(A,e);return jt(A,I,i,t,A.inputs[4],void 0,void 0,void 0,A.inputs[5],e)}}),pc,yc,fc,aD,Gy=VA(()=>{JI(),Fe(),Le(),fg(),Je(),pc=(A,g)=>{if(!A||A.length!==5)throw new Error("BatchNormalization requires 5 inputs");let e=(I,i,t)=>{let C=i.length;if(C!==I.length)throw new Error(`${t}: num dimensions != ${C}`);i.forEach((o,s)=>{if(o!==I[s])throw new Error(`${t}: dim[${s}] do not match`)})};if(A[0].dims.length>1){let I=g.format==="NHWC"?g.spatial?A[0].dims.slice(-1):A[0].dims.slice(-1).concat(A[0].dims.slice(1,A[0].dims.length-1)):A[0].dims.slice(1,g.spatial?2:void 0);e(A[1].dims,I,"Invalid input scale"),e(A[2].dims,I,"Invalid input B"),e(A[3].dims,I,"Invalid input mean"),e(A[4].dims,I,"Invalid input var")}else e(A[1].dims,[1],"Invalid input scale"),e(A[2].dims,[1],"Invalid input B"),e(A[3].dims,[1],"Invalid input mean"),e(A[4].dims,[1],"Invalid input var")},yc=(A,g)=>{let{epsilon:e,spatial:I,format:i}=g,t=A[0].dims,C=I?Dg(t[t.length-1]):1,o=i==="NHWC"&&t.length>1?C:1,s=FA.size(t)/C,B=I,Q=B?t.length:t,a=UA("x",A[0].dataType,A[0].dims,C),r=UA("scale",A[1].dataType,A[1].dims,o),d=UA("bias",A[2].dataType,A[2].dims,o),c=UA("inputMean",A[3].dataType,A[3].dims,o),f=UA("inputVar",A[4].dataType,A[4].dims,o),k=le("y",A[0].dataType,Q,C),u=()=>{let G="";if(I)G=`let cOffset = ${t.length===1?"0u":i==="NHWC"?`outputIndices[${t.length-1}] / ${C}`:"outputIndices[1]"};`;else if(i==="NCHW")G=`
            ${k.indicesSet("outputIndices","0","0")}
            let cOffset = ${k.indicesToOffset("outputIndices")};`;else{G=`var cIndices = ${r.type.indices}(0);
                       cIndices[0] = outputIndices[${t.length-1}];`;for(let h=1;h<r.rank;h++)G+=`cIndices[${h}] = outputIndices[${h}];`;G+=`let cOffset = ${r.indicesToOffset("cIndices")};`}return G},D=G=>`
  const epsilon = ${e};
  ${G.registerUniform("outputSize","u32").declareVariables(a,r,d,c,f,k)}
  ${G.mainStart()}
  ${G.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${k.offsetToIndices(`global_idx * ${C}`)};
    ${u()}
    let scale = ${r.getByOffset("cOffset")};
    let bias = ${d.getByOffset("cOffset")};
    let inputMean = ${c.getByOffset("cOffset")};
    let inputVar = ${f.getByOffset("cOffset")};
    let x = ${a.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${k.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${g.epsilon}_${g.format}_${I}_${C}`,inputDependencies:B?["rank","type","type","type","type"]:void 0},getShaderSource:D,getRunData:()=>({outputs:[{dims:A[0].dims,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:B?[{type:12,data:s},...he(t)]:[{type:12,data:s}]})}},fc=A=>$e(A),aD=(A,g)=>{let{inputs:e,outputCount:I}=A,i=fc({...g,outputCount:I});if(rg.webgpu.validateInputContent&&pc(e,i),g.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");A.compute(yc(e,i))}}),mc,Mc,QD,ky=VA(()=>{Le(),Je(),mc=A=>{if(A[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(A[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(A[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(A[0].dims[2]!==A[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Mc=A=>{let g=A[0].dims,e=A[0].dims[2],I=FA.size(g)/4,i=A[0].dataType,t=UA("input",i,g,4),C=UA("bias",i,[e],4),o=UA("residual",i,g,4),s=le("output",i,g,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:g,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(I/64)}}),getShaderSource:B=>`
  const channels = ${e}u / 4;
  ${B.declareVariables(t,C,o,s)}

  ${B.mainStart()}
    ${B.guardAgainstOutOfBoundsWorkgroupSizes(I)}
    let value = ${t.getByOffset("global_idx")}
      + ${C.getByOffset("global_idx % channels")} + ${o.getByOffset("global_idx")};
    ${s.setByOffset("global_idx","value")}
  }`}},QD=A=>{mc(A.inputs),A.compute(Mc(A.inputs))}}),Fc,Ve,ED,nD,lD,cD,dD,hD,uD,DD,wD,Sc,pD,yD,fD,mD,Pt,MD,iC,FD,SD,ND,RD,_D,GD,kD,LD,KD,UD,JD,bD,xD,TD,YD,HD,eB,PD,HB,PB,vD,qD,OD,Nc,Rc,WD,nr=VA(()=>{Fe(),Le(),fg(),Je(),Fc=(A,g,e,I,i,t,C)=>{let o=Math.ceil(g/4),s="";typeof i=="string"?s=`${i}(a)`:s=i("a");let B=UA("inputData",e,[o],4),Q=le("outputData",I,[o],4),a=[{name:"vec_size",type:"u32"}];return C&&a.push(...C),`
      ${A.registerUniforms(a).declareVariables(B,Q)}

  ${t??""}

  ${A.mainStart()}
    ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}

    let a = ${B.getByOffset("global_idx")};
    ${Q.setByOffset("global_idx",s)}
  }`},Ve=(A,g,e,I,i,t=A.dataType,C,o)=>{let s=[{type:12,data:Math.ceil(FA.size(A.dims)/4)}];return C&&s.push(...C),{name:g,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:B=>Fc(B,FA.size(A.dims),A.dataType,t,e,I,o),getRunData:B=>({outputs:[{dims:A.dims,dataType:t}],dispatchGroup:{x:Math.ceil(FA.size(B[0].dims)/64/4)},programUniforms:s})}},ED=A=>{A.compute(Ve(A.inputs[0],"Abs","abs"))},nD=A=>{A.compute(Ve(A.inputs[0],"Acos","acos"))},lD=A=>{A.compute(Ve(A.inputs[0],"Acosh","acosh"))},cD=A=>{A.compute(Ve(A.inputs[0],"Asin","asin"))},dD=A=>{A.compute(Ve(A.inputs[0],"Asinh","asinh"))},hD=A=>{A.compute(Ve(A.inputs[0],"Atan","atan"))},uD=A=>{A.compute(Ve(A.inputs[0],"Atanh","atanh"))},DD=A=>$e(A),wD=(A,g)=>{let e;switch(g.to){case 10:e="vec4<f16>";break;case 1:e="vec4<f32>";break;case 12:e="vec4<u32>";break;case 6:e="vec4<i32>";break;case 9:e="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${g.to}`)}A.compute(Ve(A.inputs[0],"Cast",e,void 0,g.cacheKey,g.to))},Sc=A=>{let g,e,I=A.length>=2&&A[1].data!==0,i=A.length>=3&&A[2].data!==0;switch(A[0].dataType){case 1:g=I?A[1].getFloat32Array()[0]:-34028234663852886e22,e=i?A[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:g=I?A[1].getUint16Array()[0]:64511,e=i?A[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return $e({min:g,max:e})},pD=(A,g)=>{let e=g||Sc(A.inputs),I=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"Clip",i=>`clamp(${i}, vec4<${I}>(uniforms.min), vec4<${I}>(uniforms.max))`,void 0,e.cacheKey,void 0,[{type:A.inputs[0].dataType,data:e.min},{type:A.inputs[0].dataType,data:e.max}],[{name:"min",type:I},{name:"max",type:I}]),{inputs:[0]})},yD=A=>{A.compute(Ve(A.inputs[0],"Ceil","ceil"))},fD=A=>{A.compute(Ve(A.inputs[0],"Cos","cos"))},mD=A=>{A.compute(Ve(A.inputs[0],"Cosh","cosh"))},Pt=A=>$e(A),MD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"Elu",I=>`elu_vf32(${I})`,`
  const elu_alpha_ = ${e}(${g.alpha});

  fn elu_f32(a: ${e}) -> ${e} {
  return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);
  }

  fn elu_vf32(v: vec4<${e}>) -> vec4<${e}> {
  return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));
  }`,g.cacheKey))},iC=(A="f32")=>`
const r0: ${A} = 0.3275911;
const r1: ${A} = 0.254829592;
const r2: ${A} = -0.284496736;
const r3: ${A} = 1.421413741;
const r4: ${A} = -1.453152027;
const r5: ${A} = 1.061405429;

fn erf_vf32(v: vec4<${A}>) -> vec4<${A}> {
  let absv = abs(v);
  let x = 1.0 / (1.0 + r0 * absv);
  return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));
}`,FD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"Erf",e=>`erf_vf32(${e})`,iC(g)))},SD=A=>{A.compute(Ve(A.inputs[0],"Exp","exp"))},ND=A=>{A.compute(Ve(A.inputs[0],"Floor","floor"))},RD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"Gelu",e=>`0.5 * ${e} * (1.0 + erf_vf32(${e} * 0.7071067811865475))`,iC(g)))},_D=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"LeakyRelu",I=>`select(leaky_relu_alpha_ * ${I}, ${I}, ${I} >= vec4<${e}>(0.0))`,`const leaky_relu_alpha_ = ${e}(${g.alpha});`,g.cacheKey))},GD=A=>{A.compute(Ve(A.inputs[0],"Not",g=>`!${g}`))},kD=A=>{A.compute(Ve(A.inputs[0],"Neg",g=>`-${g}`))},LD=A=>{A.compute(Ve(A.inputs[0],"Reciprocal",g=>`1.0/${g}`))},KD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"Relu",e=>`select(vec4<${g}>(0.0), ${e}, ${e} > vec4<${g}>(0.0))`))},UD=A=>{A.compute(Ve(A.inputs[0],"Sigmoid",g=>`(1.0 / (1.0 + exp(-${g})))`))},JD=A=>$e(A),bD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"HardSigmoid",I=>`max(vec4<${e}>(0.0), min(vec4<${e}>(1.0), ${g.alpha} * ${I} + vec4<${e}>(${g.beta})))`,void 0,g.cacheKey))},xD=A=>{A.compute(Ve(A.inputs[0],"Sin","sin"))},TD=A=>{A.compute(Ve(A.inputs[0],"Sinh","sinh"))},YD=A=>{A.compute(Ve(A.inputs[0],"Sqrt","sqrt"))},HD=A=>{A.compute(Ve(A.inputs[0],"Tan","tan"))},eB=A=>`sign(${A}) * (1 - exp(-2 * abs(${A}))) / (1 + exp(-2 * abs(${A})))`,PD=A=>{A.compute(Ve(A.inputs[0],"Tanh",eB))},HB=(A="f32")=>`
const fast_gelu_a: ${A} = 0.5;
const fast_gelu_b: ${A} = 0.7978845608028654;
const fast_gelu_c: ${A} = 0.035677408136300125;

fn tanh_v(v: vec4<${A}>) -> vec4<${A}> {
  return ${eB("v")};
}
`,PB=A=>`(fast_gelu_a + fast_gelu_a * tanh_v(${A} * (fast_gelu_c * ${A} * ${A} + fast_gelu_b))) * ${A}`,vD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"FastGelu",PB,HB(g),void 0,A.inputs[0].dataType))},qD=(A,g)=>{let e=Xg(A.inputs[0].dataType);return A.compute(Ve(A.inputs[0],"ThresholdedRelu",I=>`select(vec4<${e}>(0.0), ${I}, ${I} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${e}>(${g.alpha});`,g.cacheKey)),0},OD=A=>{A.compute(Ve(A.inputs[0],"Log","log"))},Nc=(A,g)=>`
const alpha = vec4<${A}>(${g});
const one = ${A}(1.0);
const zero = ${A}(0.0);

fn quick_gelu_impl(x: vec4<${A}>) -> vec4<${A}> {
  let v = x *alpha;
  var x1 : vec4<${A}>;
  for (var i = 0; i < 4; i = i + 1) {
    if (v[i] >= zero) {
      x1[i] = one / (one + exp(-v[i]));
    } else {
      x1[i] = one - one / (one + exp(v[i]));
    }
  }
  return x * x1;
}
`,Rc=A=>`quick_gelu_impl(${A})`,WD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(Ve(A.inputs[0],"QuickGelu",Rc,Nc(e,g.alpha),g.cacheKey,A.inputs[0].dataType))}}),_c,Gc,jD,Ly=VA(()=>{Le(),Je(),nr(),_c=A=>{if(A[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(A[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(A[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(A[0].dims[2]!==A[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Gc=A=>{let g=A[0].dims.slice();g[2]=g[2]/2;let e=UA("input",A[0].dataType,A[0].dims,4),I=UA("bias",A[0].dataType,[A[0].dims[2]],4),i=le("output",A[0].dataType,g,4),t=FA.size(g)/4,C=Hg(A[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:g,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(t/64)}}),getShaderSource:o=>`
  const M_SQRT2 = sqrt(2.0);
  const halfChannels = ${A[0].dims[2]/4/2}u;

  ${o.declareVariables(e,I,i)}

  ${iC(C)}

  ${o.mainStart()}
    ${o.guardAgainstOutOfBoundsWorkgroupSizes(t)}
    let biasIdx = global_idx % halfChannels;
    let batchIndex = global_idx / halfChannels;
    let inputOffset = biasIdx + batchIndex * halfChannels * 2;
    let valueLeft = input[inputOffset] + bias[biasIdx];
    let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];
    let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);

    ${i.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},jD=A=>{_c(A.inputs),A.compute(Gc(A.inputs))}}),kc,Lc,GI,VD,zD,$D,XD,ZD,Aw,ew,gw,Iw,iw,Ky=VA(()=>{Fe(),Le(),Je(),kc=(A,g,e,I,i,t,C,o,s,B,Q,a)=>{let r,d;typeof o=="string"?r=d=(D,G)=>`${o}((${D}),(${G}))`:typeof o=="function"?r=d=o:(r=o.scalar,d=o.vector);let c=le("outputData",Q,I.length,4),f=UA("aData",s,g.length,4),k=UA("bData",B,e.length,4),u;if(i)if(t){let D=FA.size(g)===1,G=FA.size(e)===1,h=g.length>0&&g[g.length-1]%4===0,y=e.length>0&&e[e.length-1]%4===0;D||G?u=c.setByOffset("global_idx",d(D?`${f.type.value}(${f.getByOffset("0")}.x)`:f.getByOffset("global_idx"),G?`${k.type.value}(${k.getByOffset("0")}.x)`:k.getByOffset("global_idx"))):u=`
            let outputIndices = ${c.offsetToIndices("global_idx * 4u")};
            let offsetA = ${f.broadcastedIndicesToOffset("outputIndices",c)};
            let offsetB = ${k.broadcastedIndicesToOffset("outputIndices",c)};
            ${c.setByOffset("global_idx",d(C||h?f.getByOffset("offsetA / 4u"):`${f.type.value}(${f.getByOffset("offsetA / 4u")}[offsetA % 4u])`,C||y?k.getByOffset("offsetB / 4u"):`${k.type.value}(${k.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else u=c.setByOffset("global_idx",d(f.getByOffset("global_idx"),k.getByOffset("global_idx")));else{if(!t)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let D=(G,h,y="")=>{let M=`aData[indexA${h}][componentA${h}]`,m=`bData[indexB${h}][componentB${h}]`;return`
            let outputIndices${h} = ${c.offsetToIndices(`global_idx * 4u + ${h}u`)};
            let offsetA${h} = ${f.broadcastedIndicesToOffset(`outputIndices${h}`,c)};
            let offsetB${h} = ${k.broadcastedIndicesToOffset(`outputIndices${h}`,c)};
            let indexA${h} = offsetA${h} / 4u;
            let indexB${h} = offsetB${h} / 4u;
            let componentA${h} = offsetA${h} % 4u;
            let componentB${h} = offsetB${h} % 4u;
            ${G}[${h}] = ${y}(${r(M,m)});
          `};Q===9?u=`
            var data = vec4<u32>(0);
            ${D("data",0,"u32")}
            ${D("data",1,"u32")}
            ${D("data",2,"u32")}
            ${D("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:u=`
            ${D("outputData[global_idx]",0)}
            ${D("outputData[global_idx]",1)}
            ${D("outputData[global_idx]",2)}
            ${D("outputData[global_idx]",3)}
          `}return`
        ${A.registerUniform("vec_size","u32").declareVariables(f,k,c)}

        ${a??""}

        ${A.mainStart()}
        ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${u}
      }`},Lc=(A,g,e,I,i,t,C=e.dataType)=>{let o=e.dims.map(f=>Number(f)??1),s=I.dims.map(f=>Number(f)??1),B=!FA.areEqual(o,s),Q=o,a=FA.size(o),r=!1,d=!1,c=[B];if(B){let f=gt.calcShape(o,s,!1);if(!f)throw new Error("Can't perform binary op on the given tensors");Q=f.slice(),a=FA.size(Q);let k=FA.size(o)===1,u=FA.size(s)===1,D=o.length>0&&o[o.length-1]%4===0,G=s.length>0&&s[s.length-1]%4===0;c.push(k),c.push(u),c.push(D),c.push(G);let h=1;for(let y=1;y<Q.length;y++){let M=o[o.length-y],m=s[s.length-y];if(M===m)h*=M;else break}h%4===0?(d=!0,r=!0):(k||u||D||G)&&(r=!0)}else r=!0;return c.push(r),{name:A,shaderCache:{hint:g+c.map(f=>f.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:f=>kc(f,o,s,Q,r,B,d,i,e.dataType,I.dataType,C,t),getRunData:()=>({outputs:[{dims:Q,dataType:C}],dispatchGroup:{x:Math.ceil(a/64/4)},programUniforms:[{type:12,data:Math.ceil(FA.size(Q)/4)},...he(o,s,Q)]})}},GI=(A,g,e,I,i,t)=>{A.compute(Lc(g,i??"",A.inputs[0],A.inputs[1],e,I,t))},VD=A=>{GI(A,"Add",(g,e)=>`${g}+${e}`)},zD=A=>{GI(A,"Div",(g,e)=>`${g}/${e}`)},$D=A=>{GI(A,"Equal",{scalar:(g,e)=>`u32(${g}==${e})`,vector:(g,e)=>`vec4<u32>(${g}==${e})`},void 0,void 0,9)},XD=A=>{GI(A,"Mul",(g,e)=>`${g}*${e}`)},ZD=A=>{let g=UA("input",A.inputs[0].dataType,A.inputs[0].dims).type.value;GI(A,"Pow",{scalar:(e,I)=>`pow_custom(${e},${I})`,vector:(e,I)=>`pow_vector_custom(${e},${I})`},`
    fn pow_custom(a : ${g}, b : ${g}) -> ${g} {
      if (b == ${g}(0.0)) {
        return ${g}(1.0);
      } else if (a < ${g}(0.0) && f32(b) != floor(f32(b))) {
        return ${g}(pow(f32(a), f32(b))); // NaN
      }
      return select(sign(a), ${g}(1.0), round(f32(abs(b) % ${g}(2.0))) != 1.0) * ${g}(${g==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
    }
    fn pow_vector_custom(a : vec4<${g}>, b : vec4<${g}>) -> vec4<${g}> {
      // TODO: implement vectorized pow
      return vec4<${g}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
    }
      `)},Aw=A=>{GI(A,"Sub",(g,e)=>`${g}-${e}`)},ew=A=>{GI(A,"Greater",{scalar:(g,e)=>`u32(${g}>${e})`,vector:(g,e)=>`vec4<u32>(${g}>${e})`},void 0,void 0,9)},gw=A=>{GI(A,"Less",{scalar:(g,e)=>`u32(${g}<${e})`,vector:(g,e)=>`vec4<u32>(${g}<${e})`},void 0,void 0,9)},Iw=A=>{GI(A,"GreaterOrEqual",{scalar:(g,e)=>`u32(${g}>=${e})`,vector:(g,e)=>`vec4<u32>(${g}>=${e})`},void 0,void 0,9)},iw=A=>{GI(A,"LessOrEqual",{scalar:(g,e)=>`u32(${g}<=${e})`,vector:(g,e)=>`vec4<u32>(${g}<=${e})`},void 0,void 0,9)}}),Kc,Uc,Jc,bc,tw,ow,Uy=VA(()=>{Fe(),Le(),fg(),Je(),Kc=(A,g)=>{if(!A||A.length<1)throw new Error("too few inputs");let e=0,I=A[e],i=I.dataType,t=I.dims.length;A.forEach((C,o)=>{if(o!==e){if(C.dataType!==i)throw new Error("input tensors should be one type");if(C.dims.length!==t)throw new Error("input tensors should have the same shape");C.dims.forEach((s,B)=>{if(B!==g&&s!==I.dims[B])throw new Error("non concat dimensions must match")})}})},Uc=(A,g)=>`
  fn calculateInputIndex(index: u32) -> u32 {
    let sizeInConcatAxis = array<u32, ${A}u>(${g});
    for (var i: u32 = 0u; i < ${A}; i += 1u ) {
      if (index < sizeInConcatAxis[i]) {
        return i;
      }
    }
    return ${A}u;
  }`,Jc=(A,g)=>{let e=A.length,I=[];for(let i=0;i<e;++i){let t=g.setByOffset("global_idx",A[i].getByIndices("indices"));e===1?I.push(t):i===0?I.push(`if (inputIndex == ${i}u) { ${t} }`):i===e-1?I.push(`else { ${t} }`):I.push(`else if (inputIndex == ${i}) { ${t} }`)}return I.join(`
`)},bc=(A,g,e,I)=>{let i=FA.size(e),t=new Array(A.length),C=new Array(A.length),o=0,s=[],B=[],Q=[{type:12,data:i}];for(let f=0;f<A.length;++f)o+=A[f].dims[g],t[f]=o,B.push(A[f].dims.length),C[f]=UA(`input${f}`,I,B[f]),s.push("rank"),Q.push({type:12,data:t[f]});for(let f=0;f<A.length;++f)Q.push(...he(A[f].dims));Q.push(...he(e));let a=le("output",I,e.length),r=a.indicesGet("indices",g),d=Array.from(Array(t.length).keys()).map(f=>`uniforms.sizeInConcatAxis${f}`).join(","),c=f=>`

  ${(()=>{f.registerUniform("outputSize","u32");for(let k=0;k<A.length;k++)f.registerUniform(`sizeInConcatAxis${k}`,"u32");return f.declareVariables(...C,a)})()}

  ${Uc(t.length,d)}

  ${f.mainStart()}
    ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

    var indices = ${a.offsetToIndices("global_idx")};

    let inputIndex = calculateInputIndex(${r});
    if (inputIndex != 0u) {
      let sizeInConcatAxis = array<u32, ${t.length}u>(${d});
      ${r} -= sizeInConcatAxis[inputIndex - 1u];
    }

    ${Jc(C,a)}
  }`;return{name:"Concat",shaderCache:{hint:`${g}`,inputDependencies:s},getRunData:()=>({outputs:[{dims:e,dataType:I}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:Q}),getShaderSource:c}},tw=(A,g)=>{let e=A.inputs,I=e[0].dims,i=FA.normalizeAxis(g.axis,I.length);Kc(e,i);let t=I.slice();t[i]=e.reduce((o,s)=>o+(s.dims.length>i?s.dims[i]:0),0);let C=e.filter(o=>FA.size(o.dims)>0);A.compute(bc(C,i,t,e[0].dataType),{inputs:C})},ow=A=>$e({axis:A.axis})}),Mi,Fi,Si,lr,Ri=VA(()=>{Fe(),Le(),Mi=(A,g,e="f32")=>{switch(A.activation){case"Relu":return`value = max(value, ${g}(0.0));`;case"Sigmoid":return`value = (${g}(1.0) / (${g}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${g}(${e}(uniforms.clip_min)), ${g}(${e}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${g}(0.0), min(${g}(1.0), ${e}(uniforms.alpha) * value + ${e}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${e}(uniforms.alpha) * value, value, value >= ${g}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value));
              value = sign(value) * (1.0 - e2x) / (1.0 + e2x);
        `;case"":return"";default:throw new Error(`Unsupported activation ${A.activation}`)}},Fi=(A,g)=>{A.activation==="Clip"?g.push({type:1,data:A.clipMax},{type:1,data:A.clipMin}):A.activation==="HardSigmoid"?g.push({type:1,data:A.alpha},{type:1,data:A.beta}):A.activation==="LeakyRelu"&&g.push({type:1,data:A.alpha})},Si=(A,g)=>{A.activation==="Clip"?g.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):A.activation==="HardSigmoid"?g.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):A.activation==="LeakyRelu"&&g.push({name:"alpha",type:"f32"})},lr=A=>{let g=A?.activation||"";if(g==="HardSigmoid"){let[e,I]=A?.activation_params||[.2,.5];return{activation:g,alpha:e,beta:I}}else if(g==="Clip"){let[e,I]=A?.activation_params||[Gu,ku];return{activation:g,clipMax:I,clipMin:e}}else if(g==="LeakyRelu"){let[e]=A?.activation_params||[.01];return{activation:g,alpha:e}}return{activation:g}}}),vg,Cw,cr=VA(()=>{vg=(A,g)=>{switch(A){case 1:return g;case 2:return`vec2<${g}>`;case 3:return`vec3<${g}>`;case 4:return`vec4<${g}>`;default:throw new Error(`${A}-component is not supported.`)}},Cw=A=>`
      ${A?"value = value + getBiasByOutputCoords(coords);":""}
      `}),sw,Jy=VA(()=>{sw=A=>`
fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
}
fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
    i32(${A}.x), i32(${A}.y), i32(${A}.z), 1));
}
`}),qt,dr,hr=VA(()=>{Fe(),Le(),Je(),Ri(),qt=(A,g,e,I,i)=>{let t=I-e;return`
      ${Array.from({length:e}).map((C,o)=>`
      if (${ce(g.shape,o,g.rank)} != 1) {
        ${g.indicesSet(A,o,ce(i,o+t,I))}
      } else {
        ${g.indicesSet(A,o,0)}
      }`).join("")}
`},dr=(A,g,e,I,i=!1,t)=>{let C=A[0].dims,o=A[1].dims,s=C[C.length-2],B=o[o.length-1],Q=C[C.length-1],a=Dg(B),r=Dg(Q),d=Dg(s),c=FA.size(e)/a/d,f=A.length>2,k=I?I.slice(0,-2):e.slice(0,-2),u=[FA.size(k),s,B],D=[{type:12,data:c},{type:12,data:s},{type:12,data:B},{type:12,data:Q}];Fi(g,D),D.push(...he(k,C,o)),f&&D.push(...he(A[2].dims)),D.push(...he(u));let G=h=>{let y=ar("batch_dims",A[0].dataType,k.length),M=UA("a",A[0].dataType,C.length,r),m=UA("b",A[1].dataType,o.length,a),_=le("output",A[0].dataType,u.length,a),x=Hg(_.type.tensor),b=Mi(g,_.type.value,x),X=[M,m],Z="";if(f){let eA=i?a:1;X.push(UA("bias",A[2].dataType,A[2].dims.length,eA)),Z=`${i?`value += bias[col / ${eA}];`:`value += ${_.type.value}(bias[row + i]);`}`}let T=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Si(g,T);let CA=()=>{let eA=`var a_data: ${M.type.value};`;for(let tA=0;tA<r;tA++)eA+=`
              let b_data${tA} = b[(b_offset + (k + ${tA}) * uniforms.N + col) / ${a}];`;for(let tA=0;tA<d;tA++){eA+=`a_data = a[(a_offset + (row + ${tA}) * uniforms.K + k) / ${r}];`;for(let BA=0;BA<r;BA++)eA+=`
            values[${tA}] = fma(${m.type.value}(a_data${r===1?"":`[${BA}]`}), b_data${BA}, values[${tA}]);
`}return eA};return`
  ${h.registerUniforms(T).registerInternalVariables(y).declareVariables(...X,_)}
  ${h.mainStart()}
    ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${a})) * ${a};
    var index1 = global_idx / (uniforms.N / ${a});
    let stride1 = uniforms.M / ${d};
    let row = (index1 % stride1) * ${d};
    let batch = index1 / stride1;

    ${e.length===2?"":`let batch_indices = ${y.offsetToIndices("batch")};`}

    var a_indices: ${M.type.indices};
    ${qt("a_indices",M,M.rank-2,y.rank,"batch_indices")}
    ${M.indicesSet("a_indices",M.rank-2,0)}
    ${M.indicesSet("a_indices",M.rank-1,0)}
    let a_offset = ${M.indicesToOffset("a_indices")};

    var b_indices: ${m.type.indices};
    ${qt("b_indices",m,m.rank-2,y.rank,"batch_indices")}
    ${m.indicesSet("b_indices",m.rank-2,0)}
    ${m.indicesSet("b_indices",m.rank-1,0)}
    let b_offset = ${m.indicesToOffset("b_indices")};
    var values: array<${_.type.value}, ${d}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${r}) {
      ${CA()}
    }
    for (var i = 0u; i < ${d}u; i++) {
      var value = values[i];
      ${Z}
      ${b}
      let cur_indices = ${_.type.indices}(batch, row + i, col);
      let offset = ${_.indicesToOffset("cur_indices")};
      ${_.setByOffset(`offset / ${a}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${g.activation};${a};${r};${d};${i}`,inputDependencies:f?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:t?t(e):e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:D}),getShaderSource:G}}}),xc,Tc,vB,gB,Yc,qB,Hc,BC,ur=VA(()=>{Fe(),Le(),Je(),Ri(),hr(),cr(),xc=(A,g)=>A?`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          kStart + inputRow,
          globalRowStart / innerElementSize + inputCol${g?", batchIndices":""});
        `:`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          globalRow + innerRow,
          kStart / innerElementSize + inputCol${g?", batchIndices":""});
        `,Tc=(A,g)=>A?`
        let ACached0 = mm_Asub[k * innerElementSize][localRow];
        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
        ${g===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}
        for (var i = 0; i < rowPerThread; i = i + 1) {
          acc[i] = BCached0 * ACached0[i] + acc[i];
          acc[i] = BCached1 * ACached1[i] + acc[i];
          acc[i] = BCached2 * ACached2[i] + acc[i];
          ${g===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}
        }`:`
        for (var i = 0; i < rowPerThread; i = i + 1) {
          let ACached = mm_Asub[tileRow + i][k];
          acc[i] = BCached0 * ACached.x + acc[i];
          acc[i] = BCached1 * ACached.y + acc[i];
          acc[i] = BCached2 * ACached.z + acc[i];
          ${g===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
        }`,vB=(A,g,e="f32",I,i=!1,t=32,C=!1,o=32)=>{let s=g[1]*A[1],B=g[0]*A[0],Q=i?s:t,a=i?t:s,r=Q/g[0],d=t/g[1];if(!((i&&r===4&&A[1]===4||!i&&(r===3||r===4))&&Q%g[0]===0&&t%g[1]===0&&A[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${r} and workPerThread[1] ${A[1]} must be 4.
      Otherwise, innerElementSize ${r} must be 3 or 4.
  tileAWidth ${Q} must be divisible by workgroupSize[0]${g[0]}. tileInner ${t} must be divisible by workgroupSize[1] ${g[1]}. colPerThread ${A[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${r}<${e}>, ${Q/r}>, ${a}>;
var<workgroup> mm_Bsub: array<array<vec4<${e}>, ${B/A[0]}>, ${t}>;

const rowPerThread = ${A[1]};
const colPerThread = ${A[0]};
const innerElementSize = ${r};
const tileInner = ${t};

@compute @workgroup_size(${g[0]}, ${g[1]}, ${g[2]})
fn main(@builtin(local_invocation_id) localId : vec3<u32>,
        @builtin(global_invocation_id) globalId : vec3<u32>,
        @builtin(workgroup_id) workgroupId : vec3<u32>) {
  let localRow = i32(localId.y);
  let tileRow = localRow * rowPerThread;
  let tileCol = i32(localId.x);

  let globalRow =i32(globalId.y) * rowPerThread;
  let globalCol = i32(globalId.x);
  let batch = ${C?"0":"i32(globalId.z)"};
  ${I?`let batchIndices = ${I.offsetToIndices("u32(batch)")};`:""}
  let globalRowStart = i32(workgroupId.y) * ${s};

  let num_tiles = ${C?`${Math.ceil(o/t)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
  var kStart = ${C?`i32(globalId.z) * ${o}`:"0"};

  var acc: array<vec4<${e}>, rowPerThread>;

  // Loop over shared dimension.
  let tileRowB = localRow * ${d};
  for (var t = 0; t < num_tiles; t = t + 1) {
      // Load one tile of A into local memory.
      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let inputRow = tileRow + innerRow;
          let inputCol = tileCol;
          ${xc(i,I)}
      }

      // Load one tile of B into local memory.
      for (var innerRow = 0; innerRow < ${d}; innerRow = innerRow + 1) {
          let inputRow = tileRowB + innerRow;
          let inputCol = tileCol;
          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${I?", batchIndices":""});
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

      // Compute acc values for a single thread.
      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {
          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];
          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];
          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];
          ${r===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}

          ${Tc(i,r)}
      }

      workgroupBarrier();
  }

  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
  }
}`},gB=(A,g)=>A?`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              kStart + inputRow,
              globalRowStart + inputCol${g?", batchIndices":""});
            `:`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              globalRowStart + inputRow,
              kStart + inputCol${g?", batchIndices":""});
            `,Yc=A=>A?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",qB=(A,g,e="f32",I,i=!1,t=32,C=!1,o=32,s=!1)=>{let B=A[1]*g[1],Q=A[0]*g[0],a=i?B:t,r=i?t:B;if(!(r%g[1]===0&&a%g[0]===0&&t%g[1]===0))throw new Error(`tileAHight ${r} must be divisible by workgroupSize[1]${g[1]}, tileAWidth ${a} must be divisible by workgroupSize[0]${g[0]}, tileInner ${t} must be divisible by workgroupSize[1]${g[1]}`);let d=r/g[1],c=a/g[0],f=t/g[1],k=s?`
    let localRow = i32(localId.y);
    let localCol = i32(localId.x);
    let globalRowStart = i32(workgroupId.y) * ${B};
    let globalColStart = i32(workgroupId.x) * ${Q};

    // Loop over shared dimension.
    for (var t = 0; t < num_tiles; t = t + 1) {
      // Load one tile of A into local memory.
      for (var inputRow = localRow; inputRow < ${r}; inputRow = inputRow + ${g[1]}) {
        for (var inputCol = localCol; inputCol < ${a}; inputCol = inputCol + ${g[0]}) {
          ${gB(i,I)}
        }
      }
      // Load one tile of B into local memory.
      for (var inputRow = localRow; inputRow < ${t}; inputRow = inputRow + ${g[1]}) {
            for (var inputCol = localCol; inputCol < ${Q}; inputCol = inputCol + ${g[0]}) {
          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
            kStart + inputRow,
            globalColStart + inputCol${I?", batchIndices":""});
        }
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

      // Compute acc values for a single thread.
      var BCached : array<${e}, colPerThread>;
      for (var k = 0; k < tileInner; k = k + 1) {
        for (var inner = 0; inner < colPerThread; inner = inner + 1) {
          BCached[inner] = mm_Bsub[k][localCol + inner * ${g[0]}];
        }
        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${g[1]}];`:`mm_Asub[localRow + innerRow * ${g[1]}][k];`}
          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
            acc[innerRow][innerCol] = acc[innerRow][innerCol] +
                ACached * BCached[innerCol];
          }
        }
      }
      workgroupBarrier();
    }
    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      let gRow = globalRowStart + localRow + innerRow * ${g[1]};
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        let gCol = globalColStart + localCol + innerCol * ${g[0]};
        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);
      }
    }
    `:`
let tileRow = i32(localId.y) * rowPerThread;
let tileCol = i32(localId.x) * colPerThread;

let globalRow = i32(globalId.y) * rowPerThread;
let globalCol = i32(globalId.x) * colPerThread;
let globalRowStart = i32(workgroupId.y) * ${B};

let tileRowA = i32(localId.y) * ${d};
let tileColA = i32(localId.x) * ${c};
let tileRowB = i32(localId.y) * ${f};
// Loop over shared dimension.
for (var t = 0; t < num_tiles; t = t + 1) {
  // Load one tile of A into local memory.
  for (var innerRow = 0; innerRow < ${d}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < ${c}; innerCol = innerCol + 1) {
      let inputRow = tileRowA + innerRow;
      let inputCol = tileColA + innerCol;
      ${gB(i,I)}
    }
  }

  // Load one tile of B into local memory.
  for (var innerRow = 0; innerRow < ${f}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
      let inputRow = tileRowB + innerRow;
      let inputCol = tileCol + innerCol;
      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
        kStart + inputRow,
        globalCol + innerCol${I?", batchIndices":""});
    }
  }
  kStart = kStart + tileInner;
  workgroupBarrier();

  // Compute acc values for a single thread.
  var BCached : array<${e}, colPerThread>;
  for (var k = 0; k < tileInner; k = k + 1) {
    for (var inner = 0; inner < colPerThread; inner = inner + 1) {
      BCached[inner] = mm_Bsub[k][tileCol + inner];
    }

    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      ${Yc(i)}
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];
      }
    }
  }

  workgroupBarrier();
}

for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
    mm_write(batch, globalRow + innerRow, globalCol + innerCol,
        acc[innerRow][innerCol]);
  }
}
`;return`
  var<workgroup> mm_Asub : array<array<${e}, ${a}>, ${r}>;
  var<workgroup> mm_Bsub : array<array<${e}, ${Q}>, ${t}>;
  const rowPerThread = ${A[1]};
  const colPerThread = ${A[0]};
  const tileInner = ${t};

@compute @workgroup_size(${g[0]}, ${g[1]}, ${g[2]})
fn main(@builtin(local_invocation_id) localId : vec3<u32>,
        @builtin(global_invocation_id) globalId : vec3<u32>,
        @builtin(workgroup_id) workgroupId : vec3<u32>) {
    let batch = ${C?"0":"i32(globalId.z)"};
    ${I?`let batchIndices = ${I.offsetToIndices("u32(batch)")};`:""}
    let num_tiles = ${C?`${Math.ceil(o/t)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
    var kStart = ${C?`i32(globalId.z) * ${o}`:"0"};

    var acc : array<array<${e}, colPerThread>, rowPerThread>;
    ${k}
  }
`},Hc=(A,g,e,I,i=!1)=>{let[t,C,o,s]=I,B=Hg(I[0].type.tensor);return`
    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${t.type.indices}) -> ${vg(A,B)} {
      var value = ${vg(A,B)}(0.0);
      let col = colIn * ${A};
      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
      {
        var aIndices: ${C.type.indices};
        ${qt("aIndices",C,C.rank-2,t.rank,"batchIndices")}
        ${C.indicesSet("aIndices",C.rank-2,"u32(row)")}
        ${C.indicesSet("aIndices",C.rank-1,"u32(colIn)")}
        value = ${C.getByIndices("aIndices")};
      }
      return value;
    }

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${t.type.indices}) -> ${vg(A,B)} {
      var value = ${vg(A,B)}(0.0);
      let col = colIn * ${A};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        var bIndices: ${o.type.indices};
        ${qt("bIndices",o,o.rank-2,t.rank,"batchIndices")}
        ${o.indicesSet("bIndices",o.rank-2,"u32(row)")}
        ${o.indicesSet("bIndices",o.rank-1,"u32(colIn)")}
        value = ${o.getByIndices("bIndices")};
      }
      return value;
    }

    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${vg(A,B)}) {
      let col = colIn * ${A};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
        var value = valueIn;
        let coords = vec3<i32>(batch, row, colIn);
        ${g?`value = value + ${i?"bias[colIn]":`${vg(A,B)}(bias[row])`};`:""}
        ${e}
        ${s.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},BC=(A,g,e,I,i=!1,t)=>{let C=A[0].dims,o=A[1].dims,s=C.slice(0,-2),B=o.slice(0,-2),Q=I?I.slice(0,-2):e.slice(0,-2),a=FA.size(Q),r=C[C.length-2],d=C[C.length-1],c=o[o.length-1],f=d%4===0&&c%4===0,k=r<=8?[4,1,1]:[4,4,1],u=[8,8,1],D=[Math.ceil(c/u[0]/k[0]),Math.ceil(r/u[1]/k[1]),Math.ceil(a/u[2]/k[2])],G=f?4:1,h=[...s,r,d/G],y=h.length,M=[...B,d,c/G],m=M.length,_=[a,r,c/G],x=[{type:6,data:r},{type:6,data:c},{type:6,data:d}];Fi(g,x),x.push(...he(Q,h,M));let b=["rank","rank"],X=A.length>2;X&&(x.push(...he(A[2].dims)),b.push("rank")),x.push(...he(_));let Z=T=>{let CA=Q.length,eA=ar("batchDims",A[0].dataType,CA,1),tA=Hg(A[0].dataType),BA=UA("a",A[0].dataType,y,G),sA=UA("b",A[1].dataType,m,G),cA=le("result",A[0].dataType,_.length,G),dA=[BA,sA];if(X){let nA=i?G:1;dA.push(UA("bias",A[2].dataType,A[2].dims.length,nA))}let P=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Si(g,P);let U=Hg(cA.type.tensor),z=Mi(g,cA.type.value,U),v=Hc(G,X,z,[eA,BA,sA,cA],i);return`
  ${T.registerUniforms(P).registerInternalVariables(eA).declareVariables(...dA,cA)}
  ${v}
  ${f?vB(k,u,tA,eA):qB(k,u,tA,eA)}
                   `};return{name:"MatMul",shaderCache:{hint:`${k};${g.activation};${f};${i}`,inputDependencies:b},getRunData:()=>({outputs:[{dims:t?t(e):e,dataType:A[0].dataType}],dispatchGroup:{x:D[0],y:D[1],z:D[2]},programUniforms:x}),getShaderSource:Z}}}),Pc,Bw,by=VA(()=>{Fe(),OI(),Je(),Ri(),cr(),Jy(),ur(),Pc=(A,g,e,I,i=!1,t,C=4,o=4,s=4,B="f32")=>{let Q=x=>{switch(x){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${B}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${x} is not supported.`)}},a=x=>{switch(x){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${x} is not supported.`)}},r=A?`
    let coord = vec4<i32>(batch, xRow, xCol, xCh);
    `:`
    let coord = vec4<i32>(batch, xCh, xRow, xCol);
    `,d=A?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,c=A?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",f=A?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",k=A?"row":"col",u=A?"col":"row",D=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${A?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${k} / outWidth;
    let outCol = ${k} % outWidth;

    let WRow = ${u} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${u} / inChannels % i32(uniforms.w_shape[1]);
    let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];
    let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];
    let xCh = ${u} % inChannels;
    var resData = ${vg(C,B)}(0.0);
    // The bounds checking is always needed since we use it to pad zero for
    // the 'same' padding type.
    if (xRow >= 0 && xRow < ${c} && xCol >= 0 && xCol < ${f}) {
      ${r}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${Q(C)}
    }
    return resData;`,G=A?g&&I?`
    let col = colIn * ${C};
    ${D}`:`
    let col = colIn * ${C};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${D}
    }
    return ${vg(C,B)}(0.0);`:I&&e?`
    let col = colIn * ${C};
    ${D}`:`
    let col = colIn * ${C};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${D}
    }
    return ${vg(C,B)}(0.0);`,h=A?I&&e?a(o):`
    let col = colIn * ${o};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${a(o)}
    }
    return ${vg(o,B)}(0.0);`:`
    let col = colIn * ${o};
    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
      ${a(o)}
    }
    return ${vg(o,B)}(0.0);`,y=vg(s,B),M=vg(A?C:o,B),m=vg(A?o:C,B),_=Mi(t,y,B);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${M} {
      ${A?G:h}
    }

    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${m} {
      ${A?h:G}
    }

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${y}) {
      let col = colIn * ${s};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
      {
      var value = valueIn;
      let outWidth = ${A?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${d}
      ${Cw(i)}
      ${_}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},Bw=(A,g,e,I,i,t,C,o,s)=>{let B=g.format==="NHWC",Q=B?A[0].dims[3]:A[0].dims[1],a=e[0],r=B?e[2]:e[3],d=B?e[1]:e[2],c=B?e[3]:e[1],f=B&&(Q%4===0||Q%3===0)&&c%4===0,k=B?c:r*d,u=B?r*d:c,D=[8,8,1],G=I<=8?[4,1,1]:[4,4,1],h=[Math.ceil(k/D[0]/G[0]),Math.ceil(u/D[1]/G[1]),Math.ceil(a/D[2]/G[2])];Oe("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${h}`);let y=f?B&&Q%4!==0?3:4:1,M=D[1]*G[1],m=D[0]*G[0],_=Math.max(D[0]*y,D[1]),x=I%M===0,b=i%m===0,X=t%_===0,Z=f?[y,4,4]:[1,1,1],T=[{type:6,data:I},{type:6,data:i},{type:6,data:t},{type:6,data:[g.pads[0],g.pads[1]]},{type:6,data:g.strides},{type:6,data:g.dilations}];Fi(g,T),T.push(...he(A[0].dims,A[1].dims));let CA=["rank","rank"];C&&(T.push(...he(A[2].dims)),CA.push("rank")),T.push(...he(e));let eA=tA=>{let BA=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];Si(g,BA);let sA=f?4:1,cA=Hg(A[0].dataType),dA=`
      fn setOutputAtIndex(flatIndex : i32, value : ${f?`vec4<${cA}>`:cA}) {
        result[flatIndex] = ${f?`vec4<${cA}>`:cA}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${f?`vec4<${cA}>`:cA}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${f?"/ 4":""}, value);
      }`,P=UA("x",A[0].dataType,A[0].dims.length,y===3?1:y),U=UA("w",A[1].dataType,A[1].dims.length,sA),z=[P,U],v=le("result",A[0].dataType,e.length,sA);if(C){let nA=UA("bias",A[2].dataType,A[2].dims.length,sA);z.push(nA),dA+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${f?`vec4<${cA}>`:cA} {
          return bias[coords.${B?"w":"y"}${f?"/ 4":""}];
        }`}return`
        ${sw("uniforms.result_strides")}
        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,
        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,
        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };
        ${tA.registerUniforms(BA).declareVariables(...z,v)}
        ${dA}
        ${Pc(B,x,b,X,C,g,Z[0],Z[1],Z[2],cA)}
        ${f?vB(G,D,cA,void 0,!B,_):qB(G,D,cA,void 0,!B,_,!1,void 0,o)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${g.cacheKey};${y};${f};${x};${b};${X};${M};${m};${_}`,inputDependencies:CA},getRunData:()=>({outputs:[{dims:s?s(e):e,dataType:A[0].dataType}],dispatchGroup:{x:h[0],y:h[1],z:h[2]},programUniforms:T}),getShaderSource:eA}}}),vc,IB,Kt,qc,iB,Oc,rw,aw,xy=VA(()=>{Fe(),OI(),Le(),Je(),Ri(),cr(),vc=A=>{let g=1;for(let e=0;e<A.length;e++)g*=A[e];return g},IB=A=>typeof A=="number"?[A,A,A]:A,Kt=(A,g)=>g<=1?A:A+(A-1)*(g-1),qc=(A,g,e,I=1)=>{let i=Kt(g,I);return Math.floor((A[0]*(e-1)-e+i)/2)},iB=(A,g,e,I,i)=>{i==null&&(i=qc(A,g[0],I[0]));let t=[0,0,0,e];for(let C=0;C<3;C++)A[C]+2*i>=g[C]&&(t[C]=Math.trunc((A[C]-g[C]+2*i)/I[C]+1));return t},Oc=(A,g,e,I,i,t,C,o,s,B)=>{let Q,a,r,d;if(A==="VALID"&&(A=0),typeof A=="number"){Q={top:A,bottom:A,left:A,right:A,front:A,back:A};let c=iB([g,e,I,1],[o,s,B],1,[i,t,C],A);a=c[0],r=c[1],d=c[2]}else if(Array.isArray(A)){if(!A.every((f,k,u)=>f===u[0]))throw Error(`Unsupported padding parameter: ${A}`);Q={top:A[0],bottom:A[1],left:A[2],right:A[3],front:A[4],back:A[5]};let c=iB([g,e,I,1],[o,s,B],1,[i,t,C],A[0]);a=c[0],r=c[1],d=c[2]}else if(A==="SAME_UPPER"){a=Math.ceil(g/i),r=Math.ceil(e/t),d=Math.ceil(I/C);let c=(a-1)*i+o-g,f=(r-1)*t+s-e,k=(d-1)*C+B-I,u=Math.floor(c/2),D=c-u,G=Math.floor(f/2),h=f-G,y=Math.floor(k/2),M=k-y;Q={top:G,bottom:h,left:y,right:M,front:u,back:D}}else throw Error(`Unknown padding parameter: ${A}`);return{padInfo:Q,outDepth:a,outHeight:r,outWidth:d}},rw=(A,g,e,I,i,t=!1,C="channelsLast")=>{let o,s,B,Q,a;if(C==="channelsLast")[o,s,B,Q,a]=A;else if(C==="channelsFirst")[o,a,s,B,Q]=A;else throw new Error(`Unknown dataFormat ${C}`);let[r,,d,c,f]=g,[k,u,D]=IB(e),[G,h,y]=IB(I),M=Kt(d,G),m=Kt(c,h),_=Kt(f,y),{padInfo:x,outDepth:b,outHeight:X,outWidth:Z}=Oc(i,s,B,Q,k,u,D,M,m,_),T=t?r*a:r,CA=[0,0,0,0,0];return C==="channelsFirst"?CA=[o,T,b,X,Z]:C==="channelsLast"&&(CA=[o,b,X,Z,T]),{batchSize:o,dataFormat:C,inDepth:s,inHeight:B,inWidth:Q,inChannels:a,outDepth:b,outHeight:X,outWidth:Z,outChannels:T,padInfo:x,strideDepth:k,strideHeight:u,strideWidth:D,filterDepth:d,filterHeight:c,filterWidth:f,effectiveFilterDepth:M,effectiveFilterHeight:m,effectiveFilterWidth:_,dilationDepth:G,dilationHeight:h,dilationWidth:y,inShape:A,outShape:CA,filterShape:g}},aw=(A,g,e,I,i,t)=>{let C=t==="channelsLast";C?A[0].dims[3]:A[0].dims[1];let o=[64,1,1],s={x:e.map((k,u)=>u)},B=[Math.ceil(vc(s.x.map(k=>e[k]))/o[0]),1,1];Oe("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${B}`);let Q=1,a=FA.size(e),r=[{type:12,data:a},{type:12,data:I},{type:12,data:i},{type:12,data:g.strides},{type:12,data:g.dilations}];Fi(g,r),r.push(...he(A[0].dims,A[1].dims));let d=["rank","rank"],c=A.length===3;c&&(r.push(...he(A[2].dims)),d.push("rank")),r.push(...he(e));let f=k=>{let u=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:I.length},{name:"pads",type:"u32",length:i.length},{name:"strides",type:"u32",length:g.strides.length},{name:"dilations",type:"u32",length:g.dilations.length}];Si(g,u);let D=1,G=Hg(A[0].dataType),h=UA("x",A[0].dataType,A[0].dims.length,Q),y=UA("W",A[1].dataType,A[1].dims.length,D),M=[h,y],m=le("result",A[0].dataType,e.length,D),_="";if(c){let X=UA("bias",A[2].dataType,A[2].dims.length,D);M.push(X),_+=`
        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${G} {
          return bias[${C?ce("coords",4,5):ce("coords",1,5)}];
        }`}let x=vg(Q,G),b=Mi(g,x,G);return`
            ${_}
            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${h.getByIndices("aIndices")};
            }
            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${y.getByIndices("aIndices")};
            }
          ${k.registerUniforms(u).declareVariables(...M,m)}
          ${k.mainStart()}
          ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
              let coords = ${m.offsetToIndices("global_idx")};
              let batch = ${ce("coords",0,h.rank)};
              let d2 = ${C?ce("coords",h.rank-1,h.rank):ce("coords",1,h.rank)};
              let xFRCCorner = vec3<u32>(${C?ce("coords",1,h.rank):ce("coords",2,h.rank)},
              ${C?ce("coords",2,h.rank):ce("coords",3,h.rank)},
              ${C?ce("coords",3,h.rank):ce("coords",4,h.rank)}) * uniforms.strides - uniforms.pads;
              let xFCorner = xFRCCorner.x;
              let xRCorner = xFRCCorner.y;
              let xCCorner = xFRCCorner.z;
              let xShapeY = ${C?ce("uniforms.x_shape",1,h.rank):ce("uniforms.x_shape",2,h.rank)};
              let xShapeZ = ${C?ce("uniforms.x_shape",2,h.rank):ce("uniforms.x_shape",3,h.rank)};
              let xShapeW = ${C?ce("uniforms.x_shape",3,h.rank):ce("uniforms.x_shape",4,h.rank)};
              let xShapeU = ${C?ce("uniforms.x_shape",4,h.rank):ce("uniforms.x_shape",1,h.rank)};
              let inputDepthNearestVec4 = (xShapeU / 4) * 4;
              let inputDepthVec4Remainder = xShapeU % 4;

              var value = 0.0;
              for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {
                let xF = xFCorner + wF * uniforms.dilations[0];
                if (xF < 0 || xF >= xShapeY) {
                  continue;
                }

                for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {
                  let xR = xRCorner + wR * uniforms.dilations[1];
                  if (xR < 0 || xR >= xShapeZ) {
                    continue;
                  }

                  for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {
                    let xC = xCCorner + wC * uniforms.dilations[2];
                    if (xC < 0 || xC >= xShapeW) {
                      continue;
                    }

                    for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {
                      ${C?`let xValues = vec4<f32>(
                               getX(batch, xF, xR, xC, d1),
                               getX(batch, xF, xR, xC, d1 + 1),
                               getX(batch, xF, xR, xC, d1 + 2),
                               getX(batch, xF, xR, xC, d1 + 3));
                            `:`let xValues = vec4<f32>(
                               getX(batch, d1, xF, xR, xC),
                               getX(batch, d1 + 1, xF, xR, xC),
                               getX(batch, d1 + 2, xF, xR, xC),
                               getX(batch, d1 + 3, xF, xR, xC));
                            `}
                            let wValues = vec4<f32>(
                              getW(d2, d1, wF, wR, wC),
                              getW(d2, d1 + 1, wF, wR, wC),
                              getW(d2, d1 + 2, wF, wR, wC),
                              getW(d2, d1 + 3, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                    if (inputDepthVec4Remainder == 1) {
                        ${C?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}
                    } else if (inputDepthVec4Remainder == 2) {
                      ${C?`let xValues = vec2<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));
                      `:`let xValues = vec2<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));
                    `}
                    let wValues = vec2<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));
                      value += dot(xValues, wValues);
                    } else if (inputDepthVec4Remainder == 3) {
                      ${C?`let xValues = vec3<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));
                      `:`let xValues = vec3<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));
                    `}
                    let wValues = vec3<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                  }
                }
              }
              ${c?"value = value + getBiasByOutputCoords(coords)":""};
              ${b}
              result[global_idx] = f32(value);
          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${g.cacheKey};${C};${Q};${c}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:e,dataType:A[0].dataType}],dispatchGroup:{x:B[0],y:B[1],z:B[2]},programUniforms:r}),getShaderSource:f}}}),Qw,Ew,Ty=VA(()=>{Fe(),Le(),Je(),Ri(),Qw=(A,g,e,I)=>{let i=A.length>2,t=i?"value += b[output_channel];":"",C=A[0].dims,o=A[1].dims,s=g.format==="NHWC",B=s?e[3]:e[1],Q=B/g.group,a=s&&Q>=4?Dg(B):1,r=FA.size(e)/a,d=[{type:12,data:r},{type:12,data:g.dilations},{type:12,data:[g.strides[0],g.strides[1]]},{type:12,data:[g.pads[0],g.pads[1]]},{type:12,data:Q}];Fi(g,d),d.push(...he(C,[o[0],o[1],o[2],o[3]/a]));let c=i?["rank","rank","rank"]:["rank","rank"];d.push(...he([e[0],e[1],e[2],e[3]/a]));let f=k=>{let u=le("output",A[0].dataType,e.length,a),D=Hg(u.type.tensor),G=Mi(g,u.type.value,D),h=UA("x",A[0].dataType,C.length),y=UA("w",A[1].dataType,o.length,a),M=[h,y];i&&M.push(UA("b",A[2].dataType,A[2].dims,a));let m=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:g.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];Si(g,m);let _=s?`
      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) {
        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

        if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) {
          continue;
        }

        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) {
          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
          if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) {
            continue;
          }

          for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) {
            let input_channel = in_channel_offset + wInChannel;
            let xVal = ${h.get("batch","xHeight","xWidth","input_channel")};
            let wVal = ${y.get("wHeight","wWidth","wInChannel","output_channel")};
            value += xVal * wVal;
          }
        }
      }
      `:`
      for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
        let input_channel = in_channel_offset + wInChannel;
        for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
          let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

          if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) {
            continue;
          }

          for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {
            let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
            if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) {
              continue;
            }

            let xVal = ${h.get("batch","input_channel","xHeight","xWidth")};
            let wVal = ${y.get("output_channel","wInChannel","wHeight","wWidth")};
            value += xVal * wVal;
          }
        }
      }
      `;return`
  ${k.registerUniforms(m).declareVariables(...M,u)}

  ${k.mainStart()}
    ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let outputIndices = ${u.offsetToIndices("global_idx")};
    let batch: u32 = outputIndices[0];
    let output_channel: u32 = outputIndices[${s?3:1}];
    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${s?1:2}], outputIndices[${s?2:3}]) * uniforms.strides - uniforms.pads;
    let group_id: u32 = output_channel * ${a} / uniforms.output_channels_per_group;
    var in_channel_offset = group_id * uniforms.w_shape[${s?2:1}];

    var value: ${u.type.value} = ${u.type.value}(0);
    ${_}
    ${t}
    ${G}
    ${u.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:`${g.cacheKey}_${a}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:I?I(e):e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:d}),getShaderSource:f}},Ew=(A,g,e,I)=>{let i=A.length>2,t=Dg(e[3]),C=Dg(e[2]),o=FA.size(e)/t/C,s=[A[0].dims[0],A[0].dims[1],A[0].dims[2],A[0].dims[3]/t],B=[A[1].dims[0],A[1].dims[1],A[1].dims[2],A[1].dims[3]/t],Q=[e[0],e[1],e[2],e[3]/t],a=[{type:12,data:o},{type:6,data:[g.strides[0],g.strides[1]]},{type:6,data:[g.pads[0],g.pads[1]]}];Fi(g,a),a.push(...he(s,B,Q));let r=(C-1)*g.strides[1]+B[1],d=c=>{let f=le("output",A[0].dataType,Q.length,t),k=Hg(f.type.tensor),u=Mi(g,f.type.value,k),D=UA("x",A[0].dataType,s.length,t),G=UA("w",A[1].dataType,B.length,t),h=[D,G];i&&h.push(UA("b",A[2].dataType,A[2].dims,t));let y=i?"value += b[output_channel];":"",M=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Si(g,M),`
  ${c.registerUniforms(M).declareVariables(...h,f)}
  ${c.mainStart()}
    ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let width0 = uniforms.output_shape[3];
    let output_channel = global_idx % width0;
    var index1 = global_idx / width0;
    let width1 = uniforms.output_shape[2] / ${C}u;
    let col = (index1 % width1) * ${C}u;
    index1 = index1 / width1;
    let row = index1 % uniforms.output_shape[1];
    let batch = index1 / uniforms.output_shape[1];

    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;

    var x_vals: array<${D.type.value}, ${r}>;
    var values: array<${f.type.value}, ${C}>;
    let input_channel = output_channel;
    // Use constant instead of uniform can give better performance for w's height/width.
    for (var w_height: u32 = 0u; w_height < ${B[0]}; w_height++) {
      let x_height = x_corner.x + i32(w_height);
      if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {
        for (var i = 0; i < ${r}; i++) {
          let x_width = x_corner.y + i;
          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
            x_vals[i] = ${D.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${D.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${B[1]}; w_width++) {
          let w_val = ${G.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${C}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${C}u; i++) {
      var value = values[i];
      ${y}
      ${u}
      ${f.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${g.cacheKey};${t};${C};${r};${B[0]};${B[1]}`,inputDependencies:i?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:I?I(e):e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a}),getShaderSource:d}}}),Wc,Vo,jc,zo,OB,tB,Vc,zc,WB,Yy=VA(()=>{Le(),by(),xy(),ur(),Ty(),Ri(),hr(),ii(),Wc=(A,g,e,I,i,t)=>{let C=A[0],o=A.slice(t?1:2,t?3:4),s=o.length,B=g[0],Q=g.slice(2).map((r,d)=>r+(r-1)*(e[d]-1)),a=o.map((r,d)=>r+I[d]+I[d+s]).map((r,d)=>Math.floor((r-Q[d]+i[d])/i[d]));return a.splice(0,0,C),a.splice(t?3:1,0,B),a},Vo=[2,3,1,0],jc=(A,g)=>{if(!A||A.length!==2&&A.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(A[0].dims.length>5)throw new Error("greater than 5D is not supported");if(A[0].dims.length!==A[1].dims.length)throw new Error("filter does not have same dimension as input");let e=A[0].dims[g.format==="NHWC"?A[0].dims.length-1:1],I=A[1].dims[1]*g.group;if(e!==I)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(A.length===3&&(A[2].dims.length!==1||A[1].dims[0]!==A[2].dims[0]))throw new Error("invalid bias");let i=A[0].dims.length-2;if(g.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(g.strides.length!==i)throw new Error(`strides should be ${i}D`);if(g.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(g.kernelShape.length!==0&&g.kernelShape.length!==A[1].dims.length-2)throw new Error("invalid kernel shape")},zo=(A,g)=>{let e=A.kernelShape.slice();e.length<g[1].dims.length-2&&e.push(...Array(g[1].dims.length-2-e.length).fill(0));for(let t=2;t<g[1].dims.length;++t)e[t-2]===0&&(e[t-2]=g[1].dims[t]);let I=A.pads.slice();CC.adjustPadsBasedOnAutoPad(g[0].dims,A.strides,A.dilations,e,I,A.format==="NHWC",A.autoPad);let i=Object.assign({},A);return Object.assign(i,{kernelShape:e,pads:I}),i},OB=A=>{let g=lr(A),e=A.format,I=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][A.auto_pad],i=A.dilations,t=A.group,C=A.kernel_shape,o=A.pads,s=A.strides,B=A.w_is_const();return{autoPad:I,format:e,dilations:i,group:t,kernelShape:C,pads:o,strides:s,wIsConst:B,...g,cacheKey:`${A.format};${g.activation};`}},tB=(A,g,e,I)=>{let i=e.format==="NHWC",t=Wc(g[0].dims,g[1].dims,e.dilations,e.pads,e.strides,i);if(e.group!==1){let M=[g[0]];if(i){let m=A.kernelCustomData.wT??A.compute(QI(g[1],Vo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=m),M.push(m)}else M.push(g[1]);g.length===3&&M.push(g[2]),!A.adapterInfo.isArchitecture("ampere")&&i&&g[1].dims[0]===e.group&&g[1].dims[1]===1&&e.dilations[0]===1&&e.dilations[1]===1?A.compute(Ew(M,e,t,I),{inputs:M}):A.compute(Qw(M,e,t,I),{inputs:M});return}let C=g.length===3,o=g[0].dims[i?1:2],s=g[0].dims[i?2:3],B=g[0].dims[i?3:1],Q=g[1].dims[2],a=g[1].dims[3],r=t[i?1:2],d=t[i?2:3],c=t[i?3:1],f=i&&Q===o&&a===s&&e.pads[0]===0&&e.pads[1]===0;if(f||Q===1&&a===1&&e.dilations[0]===1&&e.dilations[1]===1&&e.strides[0]===1&&e.strides[1]===1&&e.pads[0]===0&&e.pads[1]===0){let M=t[0],m,_,x,b=[];if(i){let T=A.kernelCustomData.wT??A.compute(QI(g[1],Vo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];if(e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=T),f){let CA=o*s*B;m=g[0].reshape([1,M,CA]),_=T.reshape([1,CA,c]),x=[1,M,c]}else m=g[0].reshape([M,o*s,B]),_=T.reshape([1,B,c]),x=[M,r*d,c];b.push(m),b.push(_)}else m=g[0].reshape([M,B,o*s]),_=g[1].reshape([1,c,B]),x=[M,c,r*d],b.push(_),b.push(m);C&&b.push(g[2]);let X=x[2],Z=b[0].dims[b[0].dims.length-1];X<8&&Z<8?A.compute(dr(b,e,t,x,i,I),{inputs:b}):A.compute(BC(b,e,t,x,i,I),{inputs:b});return}let k=!0,u=A.kernelCustomData.wT??A.compute(QI(g[1],Vo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=u);let D=[g[0],u];C&&D.push(g[2]);let G=i?r*d:c,h=i?c:r*d,y=Q*a*B;A.compute(Bw(D,e,t,G,h,y,C,k,I),{inputs:D})},Vc=(A,g)=>{let e=g.format==="NHWC",I=[A.inputs[0].reshape(e?[A.inputs[0].dims[0],1,A.inputs[0].dims[1],A.inputs[0].dims[2]]:[A.inputs[0].dims[0],A.inputs[0].dims[1],1,A.inputs[0].dims[2]]),A.inputs[1].reshape([A.inputs[1].dims[0],A.inputs[1].dims[1],1,A.inputs[1].dims[2]])];A.inputs.length===3&&I.push(A.inputs[2]);let i=[0,g.pads[0],0,g.pads[1]],t=[1].concat(g.strides),C=[1].concat(g.dilations),o=[1].concat(g.kernelShape),s=zo({...g,pads:i,strides:t,dilations:C,kernelShape:o},I);tB(A,I,s,B=>e?[B[0],B[2],B[3]]:[B[0],B[1],B[3]])},zc=(A,g,e)=>{let I=e.format==="NHWC"?"channelsLast":"channelsFirst",i=zo(e,g),t=e.autoPad==="NOTSET"?e.pads:e.autoPad,C=rw(g[0].dims,g[1].dims,e.strides,e.dilations,t,!1,I);A.compute(aw(g,i,C.outShape,[C.filterDepth,C.filterHeight,C.filterWidth],[C.padInfo.front,C.padInfo.top,C.padInfo.left],I))},WB=(A,g)=>{if(jc(A.inputs,g),A.inputs[0].dims.length===3)Vc(A,g);else if(A.inputs[0].dims.length===5)zc(A,A.inputs,g);else{let e=zo(g,A.inputs);tB(A,A.inputs,e)}}}),nw,Hy=VA(()=>{Fe(),OI(),Le(),Je(),nw=(A,g,e)=>{let I=A.length>2,i=g.outputShape,t=g.format==="NHWC",C=g.group,o=A[1].dims,s=o[2]/C,B=o[3],Q=t?Dg(s):1,a=t&&B===1&&s>=4,r=a?Math.floor(s/4)*4:Math.floor(s/Q)*Q,d=s-r,c=t?Dg(B):1,f=t?B===1?Q:c:1,k=FA.size(i)/c,u=[Math.ceil(k/64),1,1];Oe("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${u}`);let D=["rank","rank"],G=[g.strides[0],g.strides[1]],h=[g.kernelShape[t?1:2],g.kernelShape[t?2:3]],y=[g.dilations[0],g.dilations[1]],M=[h[0]+(g.dilations[0]<=1?0:(g.kernelShape[t?1:2]-1)*(g.dilations[0]-1)),h[1]+(g.dilations[1]<=1?0:(g.kernelShape[t?2:3]-1)*(g.dilations[1]-1))],m=[M[0]-1-Math.floor((g.pads[0]+g.pads[2])/2),M[1]-1-Math.floor((g.pads[1]+g.pads[3])/2)],_=[{type:12,data:k},{type:12,data:G},{type:12,data:h},{type:12,data:y},{type:12,data:M},{type:6,data:m},{type:12,data:r},{type:12,data:s},{type:12,data:B},...he(A[0].dims,A[1].dims)];I&&(_.push(...he(A[2].dims)),D.push("rank")),_.push(...he(i));let x=b=>{let X=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:G.length},{name:"filter_dims",type:"u32",length:h.length},{name:"dilations",type:"u32",length:h.length},{name:"effective_filter_dims",type:"u32",length:M.length},{name:"pads",type:"i32",length:m.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],Z=Hg(A[0].dataType),T=t?1:2,CA=t?2:3,eA=t?3:1,tA=UA("W",A[1].dataType,A[1].dims.length,f),BA=UA("Dy",A[0].dataType,A[0].dims.length,Q),sA=[BA,tA];I&&sA.push(UA("bias",A[2].dataType,[i[eA]].length,c));let cA=le("result",A[0].dataType,i.length,c),dA=()=>{let z="";if(a)Q===4?z+=`
        let xValue = ${BA.getByOffset("x_offset")};
        let wValue = ${tA.getByOffset("w_offset")};
        dotProd = dotProd + dot(xValue, wValue);
        x_offset += 1u;
        w_offset += 1u;`:Q===2?z+=`
          dotProd = dotProd + dot(vec4<${Z}>(${BA.getByOffset("x_offset")}, ${BA.getByOffset("x_offset + 1u")}), vec4<${Z}>(${tA.getByOffset("w_offset")}, ${tA.getByOffset("w_offset + 1u")}));
          x_offset += 2u;
          w_offset += 2u;`:Q===1&&(z+=`
          dotProd = dotProd + dot(vec4<${Z}>(${BA.getByOffset("x_offset")}, ${BA.getByOffset("x_offset + 1u")}, ${BA.getByOffset("x_offset + 2u")}, ${BA.getByOffset("x_offset + 3u")}), vec4<${Z}>(${tA.getByOffset("w_offset")}, ${tA.getByOffset("w_offset + 1u")}, ${tA.getByOffset("w_offset + 2u")}, ${tA.getByOffset("w_offset + 3u")}));
          x_offset += 4u;
          w_offset += 4u;`);else if(z+=`
                  let xValue = ${t?BA.getByOffset(`${BA.indicesToOffset(`${BA.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${Q}`):BA.get("batch","inputChannel","idyR","idyC")};
        `,Q===1)z+=`
          let w_offset = ${tA.indicesToOffset(`${tA.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
          let wValue = ${tA.getByOffset(`w_offset / ${f}`)};
          dotProd = dotProd + xValue * wValue;`;else for(let v=0;v<Q;v++)z+=`
            let wValue${v} = ${tA.getByOffset(`${tA.indicesToOffset(`${tA.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${v}, wOutChannel)`)} / ${f}`)};
            dotProd = dotProd + xValue[${v}] * wValue${v};`;return z},P=()=>{if(d===0)return"";if(!a)throw new Error(`packInputAs4 ${a} is not true.`);let z="";if(Q===1){z+="dotProd = dotProd";for(let v=0;v<d;v++)z+=`
            + ${BA.getByOffset(`x_offset + ${v}`)} * ${tA.getByOffset(`w_offset + ${v}`)}`;z+=";"}else if(Q===2){if(d!==2)throw new Error(`Invalid inputChannelsRemainder ${d}.`);z+=`
          let xValue = ${BA.getByOffset("x_offset")};
          let wValue = ${tA.getByOffset("w_offset")};
          dotProd = dotProd + dot(xValue, wValue);`}return z},U=`
            let outputIndices = ${cA.offsetToIndices(`global_idx * ${c}`)};
            let batch = ${cA.indicesGet("outputIndices",0)};
            let d1 = ${cA.indicesGet("outputIndices",eA)};
            let r = ${cA.indicesGet("outputIndices",T)};
            let c = ${cA.indicesGet("outputIndices",CA)};
            let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;
            let dyRCorner = dyCorner.x;
            let dyCCorner = dyCorner.y;
            let groupId = d1 / uniforms.output_channels_per_group;
            let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;
            // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
            // ? = to be determined. : = across all values in that axis.
            var dotProd = ${cA.type.value}(0.0);
            var wR: u32 = 0;
            if (uniforms.dilations.x == 1) {
              // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0
              wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner);
            }
            for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
              if (wR % uniforms.dilations.x != 0) {
                continue;
              }
              let dyR = (${Z}(dyRCorner) + ${Z}(wR)) / ${Z}(uniforms.strides[0]);
              let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
              if (dyR < 0.0 || dyR >= ${Z}(uniforms.Dy_shape[${T}]) || fract(dyR) > 0.0 ||
                  wRPerm < 0) {
                continue;
              }
              let idyR: u32 = u32(dyR);
              var wC: u32 = 0;
              if (uniforms.dilations.y == 1) {
                // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0
                wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner);
              }
              for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
                if (wC % uniforms.dilations.y != 0) {
                  continue;
                }
                let dyC = (${Z}(dyCCorner) + ${Z}(wC)) / ${Z}(uniforms.strides.y);
                let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
                if (dyC < 0.0 || dyC >= ${Z}(uniforms.Dy_shape[${CA}]) ||
                    fract(dyC) > 0.0 || wCPerm < 0) {
                  continue;
                }
                let idyC: u32 = u32(dyC);
                var inputChannel = groupId * uniforms.input_channels_per_group;
                ${a?`
                var x_offset = ${BA.indicesToOffset(`${BA.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${Q};
                var w_offset = ${tA.indicesToOffset(`${tA.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${f};
                  `:""}
                for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${a?4:Q}) {
                  ${dA()}
                  inputChannel = inputChannel + ${a?4:Q};
                }
                ${P()}
                wC = wC + uniforms.strides.y - 1;
              }
              wR = wR + uniforms.strides[0] - 1;
            }
            let value = dotProd${I?` + bias[d1 / ${c}]`:""};
            ${cA.setByOffset("global_idx","value")};
          `;return`
    ${b.registerUniforms(X).declareVariables(...sA,cA)}
      ${b.mainStart()}
      ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
    ${U}}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${g.cacheKey};${Q}${f}${c}${a}${d}`,inputDependencies:D},getRunData:()=>({dispatchGroup:{x:u[0],y:u[1],z:u[2]},outputs:[{dims:e?e(i):i,dataType:A[0].dataType}],programUniforms:_}),getShaderSource:x}}}),$c,Xc,Zc,oB,lw,Ad,CB,ed,cw,Py=VA(()=>{Hy(),Ri(),ii(),$c=(A,g,e,I,i,t)=>(A-1)*g+e+(I-1)*i+1-t,Xc=(A,g,e,I,i)=>{let t=Math.floor(A/2);g==="SAME_UPPER"?(e[I]=t,e[i]=A-t):g==="SAME_LOWER"&&(e[I]=A-t,e[i]=t)},Zc=(A,g,e,I,i,t,C,o,s,B)=>{let Q=A.length-2,a=B.length===0;s.length<Q&&s.push(...Array(Q-s.length).fill(0));let r=A[0],d=g[o?3:1]*i;for(let c=0,f=A.length-Q-(o?1:0);c<Q;++c,++f){let k=A[f],u=a?k*C[c]:B[c],D=$c(k,C[c],t[c],g[f],e[c],u);Xc(D,I,t,c,c+Q),a&&B.push(C[c]*(k-1)+s[c]+(g[f]-1)*e[c]+1-t[c]-t[c+Q])}B.splice(0,0,r),B.splice(o?3:1,0,d)},oB=(A,g)=>{let e=A.kernelShape.slice();if(A.kernelShape.length===0||A.kernelShape.reduce((a,r)=>a*r,1)===0){e.length=0;for(let a=2;a<g[1].dims.length;++a)e.push(g[1].dims[a])}let I=A.format==="NHWC";e.splice(0,0,g[1].dims[0]),e.splice(I?3:1,0,g[1].dims[1]);let i=A.pads.slice(),t=A.outputShape.slice(),C=A.outputPadding.slice(),o=g[0].dims,s=A.dilations.slice();if(s.reduce((a,r)=>a+r,0)===0){let a=g[0].dims.length-2;s=new Array(a).fill(1)}let B=A.strides.slice();if(B.reduce((a,r)=>a+r,0)===0){let a=g[0].dims.length-2;B=new Array(a).fill(1)}Zc(o,e,s,A.autoPad,A.group,i,B,I,C,t);let Q=Object.assign({},A);return Object.assign(Q,{kernelShape:e,pads:i,outputPadding:C,outputShape:t,dilations:s,strides:B}),Q},lw=A=>{let g=lr(A),e=A.format,I=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof A.autoPad>"u"?0:A.autoPad],i=A.dilations,t=A.group,C=A.kernelShape,o=A.pads,s=A.strides,B=A.wIsConst(),Q=A.outputPadding,a=A.outputShape;return{autoPad:I,format:e,dilations:i,group:t,kernelShape:C,outputPadding:Q,outputShape:a,pads:o,strides:s,wIsConst:B,...g,cacheKey:`${A.format};${g.activation};`}},Ad=(A,g)=>{if(!A||A.length!==2&&A.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(A[0].dims.length!==4&&A[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(A[0].dims.length!==A[1].dims.length)throw new Error("filter does not have same dimension as input");let e=A[0].dims[g.format==="NHWC"?A[0].dims.length-1:1],I=A[1].dims[0];if(e!==I)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=A[1].dims[1]*g.group;if(A.length===3&&(A[2].dims.length!==1||A[2].dims[0]!==i))throw new Error("invalid bias");let t=A[0].dims.length-2;if(g.dilations.reduce((C,o)=>C+o,0)>0&&g.dilations.length!==t)throw new Error(`dilations should be ${t}D`);if(g.strides.reduce((C,o)=>C+o,0)>0&&g.strides.length!==t)throw new Error(`strides should be ${t}D`);if(g.pads.reduce((C,o)=>C+o,0)>0&&g.pads.length!==t*2)throw new Error(`pads should be ${t*2}D`);if(g.outputPadding.length!==t&&g.outputPadding.length!==0)throw new Error(`output_padding should be ${t}D`);if(g.kernelShape.reduce((C,o)=>C+o,0)>0&&g.kernelShape.length!==0&&g.kernelShape.length!==A[1].dims.length-2)throw new Error("invalid kernel shape");if(g.outputShape.length!==0&&g.outputShape.length!==A[0].dims.length-2)throw new Error("invalid output shape")},CB=(A,g,e,I)=>{let i=A.kernelCustomData.wT??A.compute(QI(g[1],[2,3,0,1]),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=i);let t=[g[0],i];g.length===3&&t.push(g[2]),A.compute(nw(t,e,I),{inputs:t})},ed=(A,g)=>{let e=g.format==="NHWC",I=[A.inputs[0].reshape(e?[A.inputs[0].dims[0],1,A.inputs[0].dims[1],A.inputs[0].dims[2]]:[A.inputs[0].dims[0],A.inputs[0].dims[1],1,A.inputs[0].dims[2]]),A.inputs[1].reshape([A.inputs[1].dims[0],A.inputs[1].dims[1],1,A.inputs[1].dims[2]])];A.inputs.length===3&&I.push(A.inputs[2]);let i=g.kernelShape;(i.length===0||i[0]===0)&&(i=[A.inputs[1].dims[2]]);let t=g.dilations;(t.length===0||t[0]===0)&&(t=[1]);let C=g.strides;(C.length===0||C[0]===0)&&(C=[1]);let o=g.pads;o.length===0&&(o=[0,0]),o=[0,o[0],0,o[1]],C=[1].concat(C),t=[1].concat(t),i=[1].concat(i);let s=g.outputPadding;s=[0].concat(s);let B=oB({...g,pads:o,strides:C,dilations:t,kernelShape:i,outputPadding:s},I);CB(A,I,B,Q=>e?[Q[0],Q[2],Q[3]]:[Q[0],Q[1],Q[3]])},cw=(A,g)=>{if(Ad(A.inputs,g),A.inputs[0].dims.length===3)ed(A,g);else{let e=oB(g,A.inputs);CB(A,A.inputs,e)}}}),gd,dw,hw,vy=VA(()=>{Fe(),Le(),fg(),Je(),gd=(A,g,e,I)=>{let i=FA.size(g),t=g.length,C=UA("input",A,t),o=le("output",A,t),s=e.dataType===6?e.getInt32Array()[0]:Number(e.getBigInt64Array()[0]),B=FA.normalizeAxis(s,t),Q=a=>{let r=` i32(${C.indicesGet("inputIndices","uniforms.axis")}) `,d=ce("uniforms.input_shape","uniforms.axis",t),c=I.reverse?r+(I.exclusive?" + 1":""):"0",f=I.reverse?d:r+(I.exclusive?"":" + 1");return`
                ${a.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(C,o)}
                ${a.mainStart()}
                  ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
                  var inputIndices = ${o.offsetToIndices("global_idx")};
                  var sum = ${o.type.value}(0);
                  let first : i32 = ${c};
                  let last : i32 = ${f};
                  for (var i : i32 = first; i < last; i++) {
                    ${C.indicesSet("inputIndices","uniforms.axis","u32(i)")};
                    sum = sum + ${C.getByIndices("inputIndices")};
                  }
                  ${o.setByOffset("global_idx","sum")};
                }`};return{name:"CumSum",shaderCache:{hint:I.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:g,dataType:A}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},{type:12,data:B},...he(g,g)]}),getShaderSource:Q}},dw=(A,g)=>{let e=A.inputs[0].dims,I=A.inputs[0].dataType,i=A.inputs[1];A.compute(gd(I,e,i,g),{inputs:[0]})},hw=A=>{let g=A.exclusive===1,e=A.reverse===1;return $e({exclusive:g,reverse:e})}}),Id,id,td,uw,Dw,qy=VA(()=>{Fe(),Le(),fg(),Je(),Id=A=>{if(!A||A.length!==1)throw new Error("DepthToSpace requires 1 input.");if(A[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},id=(A,g,e,I)=>{let i=[];i.push(`fn perm(i: ${I.type.indices}) -> ${e.type.indices} {
    var a: ${e.type.indices};`);for(let t=0;t<g;++t)i.push(e.indicesSet("a",A[t],`i[${t}]`));return i.push("return a;}"),i.join(`
`)},td=(A,g)=>{let e,I,i,t,C,o,s=g.format==="NHWC",B=g.blocksize,Q=g.mode==="DCR";s?([e,I,i,t]=A.dims,C=Q?[e,I,i,B,B,t/B**2]:[e,I,i,t/B**2,B,B],o=Q?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([e,I,i,t]=[A.dims[0],A.dims[2],A.dims[3],A.dims[1]],C=Q?[e,B,B,t/B**2,I,i]:[e,t/B**2,B,B,I,i],o=Q?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let a=A.reshape(C),r=a.dims.length,d=A.dataType,c=UA("a",d,r),f=le("output",d,r),k=u=>`
  ${u.registerUniform("output_size","u32").declareVariables(c,f)}

  ${id(o,r,c,f)}

  ${u.mainStart()}
    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${f.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${f.setByOffset("global_idx",c.getByIndices("aIndices"))}
  }`;return{name:"DepthToSpace",shaderCache:{hint:`${A.dims};${g.blocksize};${g.mode}`,inputDependencies:["rank"]},getRunData:u=>{let D=s?[e,I*B,i*B,t/B**2]:[e,t/B**2,I*B,i*B],G=FA.size(D),h=a.dims,y=FA.sortBasedOnPerm(h,o);return{outputs:[{dims:D,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(G/64)},programUniforms:[{type:12,data:G},...he(h,y)]}},getShaderSource:k}},uw=(A,g)=>{Id(A.inputs),A.compute(td(A.inputs[0],g))},Dw=A=>$e({blocksize:A.blocksize,mode:A.mode,format:A.format})}),$o,Ut,sB,od,Cd,sd,Bd,BB,rd,ww,pw,Oy=VA(()=>{Fe(),Le(),fg(),Je(),$o="[a-zA-Z]|\\.\\.\\.",Ut="("+$o+")+",sB="^"+Ut+"$",od="("+Ut+",)*"+Ut,Cd="^"+od+"$",sd=class{constructor(A=-1){this.symbolToIndices=new Map,this.inputIndex=A}addSymbol(A,g){let e=this.symbolToIndices.get(A);e===void 0?e=[g]:e.push(g),this.symbolToIndices.set(A,e)}},Bd=class{constructor(A,g){this.equation=g,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[e,I]=g.includes("->")?g.split("->",2):[g,""];if(!e.match(RegExp(Cd)))throw new Error("Invalid LHS term");if(e.split(",").forEach((i,t)=>{let C=A[t].dims.slice();if(!i.match(RegExp(sB)))throw new Error("Invalid LHS term");let o=this.processTerm(i,!0,C,t);this.lhs.push(o)}),I==="")I+=[...this.symbolToInfo.entries()].filter(([i,t])=>t.count===1||i==="...").map(([i])=>i).join("");else if(!I.match(RegExp(Ut)))throw new Error("Invalid RHS");I.match(RegExp($o,"g"))?.forEach(i=>{if(i==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let t=this.symbolToInfo.get(i);if(t===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(t.dimValue)}}),this.rhs=this.processTerm(I,!1,this.outputDims)}addSymbol(A,g,e){let I=this.symbolToInfo.get(A);if(I!==void 0){if(I.dimValue!==g&&I.count!==1)throw new Error("Dimension mismatch");I.count++,I.inputIndices.push(e)}else I={count:1,dimValue:g,inputIndices:[e]};this.symbolToInfo.set(A,I)}processTerm(A,g,e,I=-1){let i=e.length,t=!1,C=[],o=0;if(!A.match(RegExp(sB))&&!g&&A!=="")throw new Error("Invalid LHS term");let s=A.match(RegExp($o,"g")),B=new sd(I);return s?.forEach((Q,a)=>{if(Q==="..."){if(t)throw new Error("Only one ellipsis is allowed per input term");t=!0;let r=i-s.length+1;if(r<0)throw new Error("Ellipsis out of bounds");if(C=e.slice(o,o+r),this.hasEllipsis){if(this.ellipsisDims.length!==C.length||this.ellipsisDims.toString()!==C.toString())throw new Error("Ellipsis dimensions mismatch")}else if(g)this.hasEllipsis=!0,this.ellipsisDims=C;else throw new Error("Ellipsis must be specified in the LHS");for(let d=0;d<C.length;d++){let c=String.fromCharCode(48+d);B.addSymbol(c,a+d),this.addSymbol(c,e[o++],I)}}else B.addSymbol(Q,a+(this.hasEllipsis?this.ellipsisDims.length-1:0)),this.addSymbol(Q,e[o++],I)}),B}},BB=A=>A+"_max",rd=(A,g,e,I)=>{let i=A.map(B=>B.length).map((B,Q)=>UA(`input${Q}`,g,B)),t=FA.size(I),C=le("output",g,I.length),o=[...e.symbolToInfo.keys()].filter(B=>!e.rhs.symbolToIndices.has(B)),s=B=>{let Q=[],a="var prod = 1.0;",r="var sum = 0.0;",d="sum += prod;",c=[],f=[],k=[],u=[],D=e.symbolToInfo.size===e.rhs.symbolToIndices.size;e.symbolToInfo.forEach((h,y)=>{if(e.rhs.symbolToIndices.has(y)){let M=e.rhs.symbolToIndices.get(y)?.[0];M!==void 0&&e.lhs.forEach((m,_)=>{if(h.inputIndices.includes(_)){let x=m.symbolToIndices.get(y);if(x===void 0)throw new Error("Invalid symbol error");x.forEach(b=>{Q.push(`${i[_].indicesSet(`input${_}Indices`,b,C.indicesGet("outputIndices",M))}`)})}})}else e.lhs.forEach((M,m)=>{if(h.inputIndices.includes(m)){let _=M.symbolToIndices.get(y);if(_===void 0)throw new Error("Invalid symbol error");_.forEach(x=>{c.push(`${i[m].indicesSet(`input${m}Indices`,x,`${y}`)}`)}),u.push(`prod *= ${i[m].getByIndices(`input${m}Indices`)};`)}}),f.push(`for(var ${y}: u32 = 0; ${y} < uniforms.${BB(y)}; ${y}++) {`),k.push("}")});let G=D?[...Q,`let sum = ${i.map((h,y)=>h.getByIndices(`input${y}Indices`)).join(" * ")};`]:[...Q,r,...f,...c,a,...u,d,...k];return`
            ${B.registerUniforms(o.map(h=>({name:`${BB(h)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...i,C)}

            ${B.mainStart()}
            ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
            var outputIndices = ${C.offsetToIndices("global_idx")};
            ${i.map((h,y)=>`var input${y}Indices: ${i[y].type.indices};`).join(`
`)}
            ${G.join(`
`)};
            ${C.setByOffset("global_idx","sum")};
          }`};return{name:"Einsum",shaderCache:{hint:e.equation,inputDependencies:A.map(()=>"rank")},getRunData:()=>{let B=o.filter(a=>e.symbolToInfo.has(a)).map(a=>({type:12,data:e.symbolToInfo.get(a)?.dimValue||0}));B.push({type:12,data:t});let Q=A.map((a,r)=>[...he(a)]).reduce((a,r)=>a.concat(r),B);return Q.push(...he(I)),{outputs:[{dims:I,dataType:g}],dispatchGroup:{x:Math.ceil(t/64)},programUniforms:Q}},getShaderSource:s}},ww=(A,g)=>{let e=new Bd(A.inputs,g.equation),I=e.outputDims,i=A.inputs.map((t,C)=>t.dims);A.compute(rd(i,A.inputs[0].dataType,e,I))},pw=A=>{let g=A.equation.replace(/\s+/g,"");return $e({equation:g})}}),ad,rB,Qd,Ed,yw,Wy=VA(()=>{Fe(),Le(),Je(),ad=A=>{if(!A||A.length!==2)throw new Error("Expand requires 2 input.");let g=A[0].dims,e=Array.from(A[1].getBigInt64Array(),Number),I=e.length<g.length?0:e.length-g.length,i=g.length<e.length?0:g.length-e.length;for(;I<e.length&&i<g.length;++I,++i)if(e[I]!==g[i]&&e[I]!==1&&g[i]!==1)throw new Error("Expand requires shape to be broadcastable to input")},rB=(A,g)=>{let e=A.length-g.length,I=[];for(let i=0;i<e;++i)I.push(A[i]);for(let i=0;i<g.length;++i)I.push(g[i]===1?A[i+e]:g[i]);return I},Qd=(A,g)=>A.length>g.length?rB(A,g):rB(g,A),Ed=A=>{let g=A[0].dims,e=Array.from(A[1].getBigInt64Array(),Number),I=Qd(g,e),i=A[0].dataType,t=i===9||FA.size(g)===1,C=i===9||g.length>0&&g[g.length-1]%4===0?4:1,o=t||I.length>0&&I[I.length-1]%4===0?4:1,s=Math.ceil(FA.size(I)/o),B=a=>{let r=UA("input",i,g.length,C),d=le("output",i,I.length,o),c;if(i===9){let f=(k,u,D="")=>`
          let outputIndices${u} = ${d.offsetToIndices(`outputOffset + ${u}u`)};
          let offset${u} = ${r.broadcastedIndicesToOffset(`outputIndices${u}`,d)};
          let index${u} = offset${u} / 4u;
          let component${u} = offset${u} % 4u;
          ${k}[${u}] = ${D}(${r.getByOffset(`index${u}`)}[component${u}]);
        `;c=`
        let outputOffset = global_idx * ${o};
        var data = vec4<u32>(0);
        ${f("data",0,"u32")}
        ${f("data",1,"u32")}
        ${f("data",2,"u32")}
        ${f("data",3,"u32")}
        ${d.setByOffset("global_idx","data")}
      }`}else c=`
        let outputIndices = ${d.offsetToIndices(`global_idx * ${o}`)};
        let inputOffset = ${r.broadcastedIndicesToOffset("outputIndices",d)};
        let data = ${d.type.value}(${r.getByOffset(`inputOffset / ${C}`)});
        ${d.setByOffset("global_idx","data")}
      }`;return`
    ${a.registerUniform("vec_size","u32").declareVariables(r,d)}
    ${a.mainStart()}
    ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
    ${c}`},Q=[{type:12,data:s},...he(g,I)];return{name:"Expand",shaderCache:{hint:`${I.length};${C}${o}`,inputDependencies:["rank"]},getShaderSource:B,getRunData:()=>({outputs:[{dims:I,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:Q})}},yw=A=>{ad(A.inputs),A.compute(Ed(A.inputs),{inputs:[0]})}}),nd,fw,jy=VA(()=>{Fe(),Le(),Je(),nr(),nd=A=>{let g=A[0].dataType,e=FA.size(A[0].dims),I=FA.size(A[1].dims),i=I%4===0,t=C=>{let o=UA("x",g,[1],4),s=UA("bias",g,[1],4),B=le("y",g,[1],4),Q=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],a=d=>`
      let bias${d}_offset: u32 = (global_idx * 4 + ${d}) % uniforms.bias_size;
      let bias${d} = ${s.getByOffset(`bias${d}_offset / 4`)}[bias${d}_offset % 4];`,r=i?`
      let bias = ${s.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${a(0)}${a(1)}${a(2)}${a(3)}
      let bias = ${o.type.value}(bias0, bias1, bias2, bias3);`;return`${C.registerUniforms(Q).declareVariables(o,s,B)}

    ${HB(Xg(g))}

    ${C.mainStart(It)}
      ${C.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")}

      let x = ${o.getByOffset("global_idx")};
      ${r}
      let x_in = x + bias;
      ${B.setByOffset("global_idx",PB("x_in"))}
    }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:t,getRunData:C=>({outputs:[{dims:C[0].dims,dataType:C[0].dataType}],programUniforms:[{type:12,data:Math.ceil(e/4)},{type:12,data:I}],dispatchGroup:{x:Math.ceil(e/It/4)}})}},fw=A=>{A.inputs.length<2||FA.size(A.inputs[1].dims)===0?vD(A):A.compute(nd(A.inputs))}}),ld,cd,mw,Mw,Vy=VA(()=>{Fe(),Le(),fg(),Je(),ld=A=>{if(!A||A.length!==2)throw new Error("Gather requires 2 inputs.")},cd=(A,g)=>{let e=A[0].dims,I=A[1].dims,i=e.length,t=FA.normalizeAxis(g.axis,i),C=e.slice(0);C.splice(t,1,...I);let o=e[t],s=A[0].dataType===9?4:1,B=Math.ceil(FA.size(C)/s),Q=[{type:12,data:B},{type:6,data:o},{type:12,data:t},...he(A[0].dims,A[1].dims,C)],a=r=>{let d=UA("data",A[0].dataType,A[0].dims.length,s),c=UA("inputIndices",A[1].dataType,A[1].dims.length),f=le("output",A[0].dataType,C.length,s),k=D=>{let G=I.length,h=`var indicesIndices${D}  = ${c.type.indices}(0);`;for(let y=0;y<G;y++)h+=`${G>1?`indicesIndices${D}[${y}]`:`indicesIndices${D}`} = ${C.length>1?`outputIndices${D}[uniforms.axis + ${y}]`:`outputIndices${D}`};`;h+=`
          var idx${D} = ${c.getByIndices(`indicesIndices${D}`)};
          if (idx${D} < 0) {
            idx${D} = idx${D} + uniforms.axisDimLimit;
          }
          var dataIndices${D} : ${d.type.indices};
        `;for(let y=0,M=0;y<i;y++)y===t?(h+=`${i>1?`dataIndices${D}[${y}]`:`dataIndices${D}`} = u32(idx${D});`,M+=G):(h+=`${i>1?`dataIndices${D}[${y}]`:`dataIndices${D}`} = ${C.length>1?`outputIndices${D}[${M}]`:`outputIndices${D}`};`,M++);return h},u;if(A[0].dataType===9){let D=(G,h,y="")=>`
          let outputIndices${h} = ${f.offsetToIndices(`outputOffset + ${h}u`)};
          ${k(h)};
          let offset${h} = ${d.indicesToOffset(`dataIndices${h}`)};
          let index${h} = offset${h} / 4u;
          let component${h} = offset${h} % 4u;
          ${G}[${h}] = ${y}(${d.getByOffset(`index${h}`)}[component${h}]);
        `;u=`
        let outputOffset = global_idx * ${s};
        var value = vec4<u32>(0);
        ${D("value",0,"u32")}
        ${D("value",1,"u32")}
        ${D("value",2,"u32")}
        ${D("value",3,"u32")}
        ${f.setByOffset("global_idx","value")}
      `}else u=`
      let outputIndices = ${f.offsetToIndices("global_idx")};
      ${k("")};
      let value = ${d.getByIndices("dataIndices")};
      ${f.setByOffset("global_idx","value")};
      `;return`
      ${r.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(d,c,f)}
      ${r.mainStart()}
        ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        ${u}
      }`};return{name:"Gather",shaderCache:{hint:g.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:C,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(B/64)},programUniforms:Q}),getShaderSource:a}},mw=A=>$e({axis:A.axis}),Mw=(A,g)=>{let e=A.inputs;ld(e),A.compute(cd(A.inputs,g))}}),dd,Fw,Sw,zy=VA(()=>{Fe(),Le(),Je(),dd=(A,g,e,I,i,t,C,o,s)=>{let B=[{type:12,data:t},{type:12,data:I},{type:12,data:i},{type:12,data:e},{type:12,data:C},{type:12,data:o},{type:12,data:s}],Q=[t];B.push(...he(g.dims,Q));let a=r=>{let d=UA("indices_data",g.dataType,g.dims.length),c=le("input_slice_offsets_data",12,1,1),f=[d,c],k=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:i.length},{name:"sizes_from_slice_dims_data",type:"u32",length:e.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return`
  ${r.registerUniforms(k).declareVariables(...f)}
  ${r.mainStart()}
    ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let batch_idx = global_idx / uniforms.num_slices_per_batch;
    let base_offset = batch_idx * uniforms.input_batch_stride;

    let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;
    var relative_slice_offset = 0;
    for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) {
      var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);
      let input_dim_idx = uniforms.batch_dims + dim_idx;
      if (index < 0) {
        ${i.length===1?"index += i32(uniforms.input_dims);":"index += i32(uniforms.input_dims[input_dim_idx]);"}
      }
      ${e.length===1?"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);":"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);"}
    }

    input_slice_offsets_data[global_idx] =  base_offset + u32(relative_slice_offset);
  }`};return A.compute({name:"computeSliceOffsets",shaderCache:{hint:`${i.length}_${e.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:Q,dataType:A.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(t/64)},programUniforms:B}),getShaderSource:a},{inputs:[g],outputs:[-1]})[0]},Fw=(A,g)=>{let e=A.inputs,I=e[0].dims,i=e[0].dataType,t=e[1].dims,C=t[t.length-1],o=FA.sizeToDimension(t,t.length-1),s=FA.sizeFromDimension(I,g.batchDims+C),B=FA.sizeToDimension(I,g.batchDims),Q=FA.sizeFromDimension(I,g.batchDims),a=o/B,r=new Array(C),d=s;for(let h=0;h<C;++h)r[C-1-h]=d,d*=I[g.batchDims+C-1-h];let c=dd(A,e[1],r,g.batchDims,I,o,a,Q,C),f=g.batchDims+C;if(f>I.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let k=t.slice(0,-1).concat(I.slice(f)),u=FA.size(k),D=[{type:12,data:u},{type:12,data:s},...he(e[0].dims,c.dims,k)],G=h=>{let y=UA("data",e[0].dataType,e[0].dims.length),M=UA("slice_offsets",12,c.dims.length),m=le("output",e[0].dataType,k.length);return`
          ${h.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(y,M,m)}
            ${h.mainStart()}
            ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let slice_offset = slice_offsets[global_idx / uniforms.slice_size];
          output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size];
        }`};A.compute({name:"GatherND",shaderCache:{hint:g.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:k,dataType:i}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:D}),getShaderSource:G},{inputs:[e[0],c]})},Sw=A=>({batchDims:A.batch_dims,cacheKey:""})}),hd,ud,Nw,Rw,$y=VA(()=>{Fe(),Le(),fg(),Je(),hd=(A,g)=>{if(A.length<3||A.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let e=FA.normalizeAxis(g.quantizeAxis,A[0].dims.length),I=g.blockSize,i=A[0],t=A[2],C=A.length===4?A[3]:void 0;if(t.dims.length!==i.dims.length||!i.dims.map((o,s)=>s===e?Math.ceil(o/I)===t.dims[s]:o===t.dims[s]).reduce((o,s)=>o&&s,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(C){if(C.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(C.dims.length!==t.dims.length||!C.dims.map((o,s)=>o===t.dims[s]).reduce((o,s)=>o&&s,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},ud=(A,g)=>{let e=A[0].dims,I=A[1].dims,i=e.length,t=FA.normalizeAxis(g.gatherAxis,i),C=FA.normalizeAxis(g.quantizeAxis,i),o=e.slice(0);o.splice(t,1,...I);let s=FA.size(o),B=A[2].dataType,Q=A[0].dataType===22,a=[{type:12,data:s},{type:12,data:C},{type:12,data:t},{type:12,data:g.blockSize},...he(...A.map((d,c)=>d.dims),o)],r=d=>{let c=UA("data",A[0].dataType,A[0].dims.length),f=UA("inputIndices",A[1].dataType,A[1].dims.length),k=UA("scales",A[2].dataType,A[2].dims.length),u=A.length>3?UA("zeroPoint",A[3].dataType,A[3].dims.length):void 0,D=le("output",B,o.length),G=[c,f,k];u&&G.push(u);let h=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
        ${d.registerUniforms(h).declareVariables(...G,D)}
        ${d.mainStart()}
        let output_indices = ${D.offsetToIndices("global_idx")};
        var indices_indices = ${f.type.indices}(0);
        ${I.length>1?`
          for (var i: u32 = 0; i < ${I.length}; i++) {
            let index = ${D.indicesGet("output_indices","uniforms.gather_axis + i")};
            ${f.indicesSet("indices_indices","i","index")};
          }`:`indices_indices = ${D.indicesGet("output_indices","uniforms.gather_axis")};`};
        var data_indices = ${c.type.indices}(0);
        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
          let index = ${D.indicesGet("output_indices","i")};
          ${c.indicesSet("data_indices","i","index")};
        }
        var index_from_indices = ${f.getByIndices("indices_indices")};
        if (index_from_indices < 0) {
          index_from_indices += ${e[t]};
        }
        ${c.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
        for (var i = uniforms.gather_axis + 1; i < ${o.length}; i++) {
          let index = ${D.indicesGet("output_indices",`i + ${I.length} - 1`)};
          ${c.indicesSet("data_indices","i","index")};
        }
        let data_offset = ${c.indicesToOffset("data_indices")};
        let data_index = data_offset % 8;
        // Convert 4-bit packed data to 8-bit packed data.
        let packed_4bit_quantized_data = ${c.getByOffset("data_offset / 8")};
        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
        let quantized_data_vec = ${Q?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data));
        let quantized_data = quantized_data_vec[data_index / 2];
        var scale_indices = data_indices;
        let quantize_axis_index = ${k.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
        ${k.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
        var scale = ${k.getByIndices("scale_indices")};
        ${u?`
              let zero_point_indices = scale_indices;
              let zero_point_offset = ${u.indicesToOffset("zero_point_indices")};
              let zero_point_index = zero_point_offset % 8;
              let packed_4bit_zero_points = ${u.getByOffset("zero_point_offset / 8")};
              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
              let zero_point_vec = ${Q?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
        let dequantized_data = ${Xg(B)}(quantized_data - zero_point) * scale;
        ${D.setByOffset("global_idx","dequantized_data")};
    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${g.cacheKey};${A.filter((d,c)=>c!==1).map(d=>d.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:A.length},(d,c)=>"rank")},getRunData:()=>({outputs:[{dims:o,dataType:B}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:a}),getShaderSource:r}},Nw=(A,g)=>{let e=A.inputs;hd(e,g),A.compute(ud(A.inputs,g))},Rw=A=>$e({blockSize:A.blockSize,gatherAxis:A.gatherAxis,quantizeAxis:A.quantizeAxis})}),Dd,wd,_w,Gw,Xy=VA(()=>{Fe(),Le(),fg(),Je(),Dd=A=>{if(!A||A.length!==2)throw new Error("GatherElements requires 2 inputs.");if(A[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(A[0].dims.length!==A[1].dims.length)throw new Error(`GatherElements requires that the data input and
                     indices input tensors be of same rank.`)},wd=(A,g)=>{let e=A[0].dims,I=A[0].dataType,i=e.length,t=A[1].dims,C=A[1].dataType,o=FA.normalizeAxis(g.axis,i),s=e[o],B=t.slice(0),Q=FA.size(B),a=UA("input",I,i),r=UA("indicesInput",C,t.length),d=le("output",I,B.length),c=[{type:12,data:Q},{type:6,data:s},{type:12,data:o}];return c.push(...he(e,t,B)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:B,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(Q/64)},programUniforms:c}),getShaderSource:f=>`
      ${f.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(a,r,d)}
      ${f.mainStart()}
      ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

      let outputIndices = ${d.offsetToIndices("global_idx")};

      var idx = ${r.getByOffset("global_idx")};
      if (idx < 0) {
        idx = idx + uniforms.axisDimLimit;
      }
      var inputIndices = ${a.type.indices}(outputIndices);
      ${a.indicesSet("inputIndices","uniforms.axis","u32(idx)")};
      let value = ${a.getByIndices("inputIndices")};

      ${d.setByOffset("global_idx","value")};
  }`}},_w=A=>$e({axis:A.axis}),Gw=(A,g)=>{let e=A.inputs;Dd(e),A.compute(wd(A.inputs,g))}}),pd,yd,kw,Lw,Zy=VA(()=>{Fe(),Le(),Je(),pd=A=>{if(!A)throw new Error("Input is missing");if(A.length<2||A.length>3)throw new Error("Invaid input number.");if(A.length===3&&A[2].dims.length>2)throw new Error("Invalid input shape of C");if(A[0].dataType!==A[1].dataType||A.length===3&&A[0].dataType!==A[2].dataType)throw new Error("Input types are mismatched")},yd=(A,g)=>{let e=A[0].dims.slice(),I=A[1].dims.slice(),[i,t,C]=_u.getShapeOfGemmResult(e,g.transA,I,g.transB,A.length===3?A[2].dims:void 0),o=[i,t];if(!o)throw new Error("Can't use gemm on the given tensors");let s=16,B=Math.ceil(t/s),Q=Math.ceil(i/s),a=!0,r=FA.size(o),d=[{type:12,data:a?B:r},{type:12,data:i},{type:12,data:t},{type:12,data:C},{type:1,data:g.alpha},{type:1,data:g.beta}],c=["type","type"];A.length===3&&(d.push(...he(A[2].dims)),c.push("rank")),d.push(...he(o));let f=u=>{let D="";g.transA&&g.transB?D="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":g.transA&&!g.transB?D="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!g.transA&&g.transB?D="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!g.transA&&!g.transB&&(D="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let G=g.alpha===1?"":"value *= uniforms.alpha;",h=UA("a",A[0].dataType,A[0].dims),y=UA("b",A[1].dataType,A[1].dims),M=h.type.value,m=null,_=[h,y];A.length===3&&(m=UA("c",A[2].dataType,A[2].dims.length),_.push(m));let x=le("output",A[0].dataType,o.length);_.push(x);let b=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return`
  ${u.registerUniforms(b).declareVariables(..._)}

  ${u.mainStart()}
    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let m = global_idx / uniforms.N;
    let n = global_idx % uniforms.N;

    var value = ${M}(0);
    for (var k: u32 = 0u; k < uniforms.K; k++) {
      ${D}
    }

    ${G}
    ${m!=null?`let cOffset = ${m.broadcastedIndicesToOffset("vec2(m, n)",x)}; value += ${M}(uniforms.beta) * ${m.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`},k=u=>{let D=UA("a",A[0].dataType,A[0].dims),G=UA("b",A[1].dataType,A[1].dims),h=null,y=[D,G];A.length===3&&(h=UA("c",A[2].dataType,A[2].dims.length),y.push(h));let M=le("output",A[0].dataType,o.length);y.push(M);let m=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],_="",x="";g.transA&&g.transB?(x=`
      var col = tile_row_start + local_id.x;
      var row = k_start + local_id.y;
      if (col < uniforms.M && row < uniforms.K) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${D.type.value}(0);
      }

      col = k_start + local_id.x;
      row = tile_col_start + local_id.y;
      if (col < uniforms.K && row < uniforms.N) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${G.type.value}(0);
      }
      `,_="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):g.transA&&!g.transB?(x=`
      var col = tile_row_start + local_id.x;
      var row = k_start + local_id.y;
      if (col < uniforms.M && row < uniforms.K) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${D.type.value}(0);
      }

      col = tile_col_start + local_id.x;
      row = k_start + local_id.y;
      if (col < uniforms.N && row < uniforms.K) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${G.type.value}(0);
      }
      `,_="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!g.transA&&g.transB?(x=`
      var col = k_start + local_id.x;
      var row = tile_row_start + local_id.y;
      if (col < uniforms.K && row < uniforms.M) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${D.type.value}(0);
      }

      col = k_start + local_id.x;
      row = tile_col_start + local_id.y;
      if (col < uniforms.K && row < uniforms.N) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${G.type.value}(0);
      }
      `,_="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!g.transA&&!g.transB&&(x=`
      var col = k_start + local_id.x;
      var row = tile_row_start + local_id.y;
      if (col < uniforms.K && row < uniforms.M) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${D.type.value}(0);
      }

      col = tile_col_start + local_id.x;
      row = k_start + local_id.y;
      if (col < uniforms.N && row < uniforms.K) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${G.type.value}(0);
      }
      `,_="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let b=g.alpha===1?"":"value *= uniforms.alpha;";return`
  ${u.registerUniforms(m).declareVariables(...y)}
  var<workgroup> tile_a: array<array<${D.type.storage}, ${s}>, ${s}>;
  var<workgroup> tile_b: array<array<${G.type.storage}, ${s}>, ${s}>;
  ${u.mainStart([s,s,1])}
    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${s};
    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${s};
    let num_tiles = (uniforms.K - 1) / ${s} + 1;
    var k_start = 0u;
    var value = ${M.type.value}(0);
    for (var t: u32 = 0u; t < num_tiles; t++) {
      ${x}
      k_start = k_start + ${s};
      workgroupBarrier();

      for (var k: u32 = 0u; k < ${s}; k++) {
        ${_}
      }
      workgroupBarrier();
    }

    ${b}
    let m = tile_row_start + local_id.y;
    let n = tile_col_start + local_id.x;
    ${h!=null?`let cOffset = ${h.broadcastedIndicesToOffset("vec2(m, n)",M)}; value += ${M.type.value}(uniforms.beta) * ${h.getByOffset("cOffset")};`:""}
    if (m < uniforms.M && n < uniforms.N) {
      output[m * uniforms.N + n] = value;
    }
  }`};return a?{name:"GemmShared",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:A[0].dataType}],dispatchGroup:{x:B*Q},programUniforms:d}),getShaderSource:k}:{name:"Gemm",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:d}),getShaderSource:f}},kw=A=>{let g=A.transA,e=A.transB,I=A.alpha,i=A.beta;return{transA:g,transB:e,alpha:I,beta:i,cacheKey:`${A.transA};${A.transB};${A.alpha===1}`}},Lw=(A,g)=>{pd(A.inputs),A.compute(yd(A.inputs,g))}}),HI,vI,hi,ui,fd,md,Md,Fd,Sd,Nd,Rd,_d,Kw,Uw,Af=VA(()=>{Fe(),Le(),fg(),Je(),[HI,vI,hi,ui]=[0,1,2,3],fd=A=>{if(A[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(A[0].dims.length!==A[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(A[0].dims.length-2!==A[1].dims[A[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${A[0].dims.length-2}`);if(A[0].dims[0]!==A[1].dims[0])throw new Error("grid batch size must match input batch size")},md=`
  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
    let cubic_alpha = -0.75f;
    let x_abs = abs(x);
    var coeffs: vec4<f32>;
    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
    return coeffs;
  }
`,Md=A=>`
  fn gs_bicubic_interpolate(p: mat4x4<${A}>, x: f32, y: f32) -> ${A} {
    var v: vec4<f32>;
    var coeffs = gs_get_cubic_coeffs(x);
    for (var i = 0; i < 4; i++) {
      v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3];
    }
    coeffs = gs_get_cubic_coeffs(y);
    let pixel = ${A}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);
    return pixel;
  }
`,Fd=A=>`
  fn gs_denormalize(n: f32, length: i32) -> f32 {
    ${A.alignCorners===0?`
    // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]
    return ((n + 1.0) * f32(length) - 1.0) / 2.0;
    `:`
    // alignCorners: true => [-1, 1] to [0, length - 1]
    return (n + 1.0) / 2.0 * (f32(length - 1));
    `}
  }
`,Sd=A=>`
  ${A.paddingMode==="reflection"?`
      fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {
        var dx = 0.0;
        var fx = f32(x);
        let range = x_max - x_min;
        if (fx < x_min) {
          dx = x_min - fx;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_min + r;
          } else {
            fx = x_max - r;
          }
        } else if (fx > x_max) {
          dx = fx - x_max;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_max - r;
          } else {
            fx = x_min + r;
          }
        }
        return u32(fx);
      }`:""}
`,Nd=(A,g,e)=>`
  fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${g} {
     var pixel = ${g}(0);
     var indices = vec4<u32>(0);
     indices[${HI}] = batch;
     indices[${vI}] = channel;`+(()=>{switch(e.paddingMode){case"zeros":return`
          if (r >= 0 && r < H && c >=0 && c < W) {
            indices[${hi}] = u32(r);
            indices[${ui}] = u32(c);
          } else {
            return ${g}(0);
          }
        `;case"border":return`
          indices[${hi}] = u32(clamp(r, 0, H - 1));
          indices[${ui}] = u32(clamp(c, 0, W - 1));
        `;case"reflection":return`
          indices[${hi}] = gs_reflect(r, border[1], border[3]);
          indices[${ui}] = gs_reflect(c, border[0], border[2]);
        `;default:throw new Error(`padding mode ${e.paddingMode} is not supported`)}})()+`
    return ${A.getByIndices("indices")};
  }
`,Rd=(A,g,e)=>(()=>{switch(e.mode){case"nearest":return`
          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${HI}], indices[${vI}], border);
        `;case"bilinear":return`
          let x1 = i32(floor(x));
          let y1 = i32(floor(y));
          let x2 = x1 + 1;
          let y2 = y1 + 1;

          let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${HI}], indices[${vI}], border);
          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${HI}], indices[${vI}], border);
          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${HI}], indices[${vI}], border);
          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${HI}], indices[${vI}], border);

          let dx2 = ${g}(f32(x2) - x);
          let dx1 = ${g}(x - f32(x1));
          let dy2 = ${g}(f32(y2) - y);
          let dy1 = ${g}(y - f32(y1));
          let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);
        `;case"bicubic":return`
          let x0 = i32(floor(x)) - 1;
          let y0 = i32(floor(y)) - 1;
          var p: mat4x4<${g}>;
          for (var h = 0; h < 4; h++) {
            for (var w = 0; w < 4; w++) {
              p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${HI}], indices[${vI}], border);
            }
          }

          let dx = x - f32(x0 + 1);
          let dy = y - f32(y0 + 1);
          let result = gs_bicubic_interpolate(p, dx, dy);
        `;default:throw new Error(`mode ${e.mode} is not supported`)}})()+`${A.setByOffset("global_idx","result")}`,_d=(A,g)=>{let e=UA("x",A[0].dataType,A[0].dims.length),I=[A[1].dims[0],A[1].dims[1],A[1].dims[2]],i=UA("grid",A[1].dataType,I.length,2),t=[A[0].dims[0],A[0].dims[1],A[1].dims[1],A[1].dims[2]];g.format==="NHWC"&&(t=[A[0].dims[0],A[1].dims[1],A[1].dims[2],A[0].dims[3]],[HI,vI,hi,ui]=[0,3,1,2]);let C=le("output",A[0].dataType,t.length),o=e.type.value,s=FA.size(t),B=[{type:12,data:s},...he(A[0].dims,I,t)],Q=a=>`
  ${a.registerUniform("output_size","u32").declareVariables(e,i,C)}
  ${md}
  ${Md(o)}
  ${Fd(g)}
  ${Sd(g)}
  ${Nd(e,o,g)}

  ${a.mainStart()}
    ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let H_in = i32(uniforms.x_shape[${hi}]);
      let W_in = i32(uniforms.x_shape[${ui}]);

      ${g.alignCorners===0?`
      let x_min = -0.5;
      let x_max = f32(W_in) - 0.5;
      let y_min = -0.5;
      let y_max = f32(H_in) - 0.5;
      `:`
      let x_min = 0.0;
      let x_max = f32(W_in) - 1.0;
      let y_min = 0.0;
      let y_max = f32(H_in) - 1.0;
      `};
      let border = vec4<f32>(x_min, y_min, x_max, y_max);

      let indices = ${C.offsetToIndices("global_idx")};
      var grid_indices = vec3<u32>(indices[${HI}], indices[${hi}], indices[${ui}]);
      let nxy = ${i.getByIndices("grid_indices")};
      var x = gs_denormalize(f32(nxy[0]), W_in);
      var y = gs_denormalize(f32(nxy[1]), H_in);

      ${Rd(C,o,g)}
  }`;return{name:"GridSample",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:["type","type"]},getRunData:a=>{let r=FA.size(t);return{outputs:[{dims:t,dataType:a[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:B}},getShaderSource:Q}},Kw=(A,g)=>{fd(A.inputs),A.compute(_d(A.inputs,g))},Uw=A=>$e({alignCorners:A.align_corners,mode:A.mode,paddingMode:A.padding_mode,format:A.format})}),II,Gd,Jw,aB,kd,vt,bw,xw=VA(()=>{Fe(),Le(),fg(),rr(),Er(),Je(),ii(),II=(A,g)=>A.length>g&&A[g].dims.length>0?A[g]:void 0,Gd=(A,g)=>{let e=A[0],I=II(A,1),i=II(A,2),t=II(A,3),C=II(A,4),o=II(A,5),s=II(A,6),B=II(A,7);if(e.dims.length!==3&&e.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let Q=e.dims[0],a=e.dims[1],r=e.dims.length===3?e.dims[2]:g.numHeads*e.dims[4],d=a,c=0,f=0,k=Math.floor(r/g.numHeads);if(s&&B&&FA.size(s.dims)&&FA.size(B.dims)){if(s.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(s.dims[0]!==Q||s.dims[1]!==g.numHeads||s.dims[3]!==k)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(B.dims[0]!==Q||B.dims[1]!==g.numHeads||B.dims[3]!==k)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(s.dims[2]!==B.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(B.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');c=s.dims[2],f=s.dims[2]}else if(s&&FA.size(s.dims)||B&&FA.size(B.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let u;if(I&&FA.size(I.dims)>0){if(e.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(I.dims.length<3||I.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(e.dims[0]!==I.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(I.dims.length===3){if(I.dims[2]!==e.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');u=2,d=I.dims[1]}else if(I.dims.length===5){if(I.dims[2]!==g.numHeads||I.dims[3]!==2||I.dims[4]!==k)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');u=5,d=I.dims[1]}else{if(I.dims[1]!==g.numHeads||I.dims[3]!==k)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=0,d=I.dims[2]}}else{if(e.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(e.dims[2]!==g.numHeads||e.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');u=3}if(t&&FA.size(t.dims)>0){if(t.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(I&&I.dims.length===5&&I.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let D=c+d,G=0;if(C&&FA.size(C.dims)>0){G=8;let m=C.dims;throw m.length===1?m[0]===Q?G=1:m[0]===3*Q+2&&(G=3):m.length===2&&m[0]===Q&&m[1]===D&&(G=5),G===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let h=!1,y=r;if(i&&FA.size(i.dims)>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(e.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(d!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');y=i.dims[2]}else{if(d!==i.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');y=i.dims[1]*i.dims[3],h=!0}}let M=!1;if(C&&FA.size(C.dims)>0)throw new Error("Key padding mask is not supported");if(o&&FA.size(o.dims)>0){if(o.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(o.dims[0]!==Q||o.dims[1]!==g.numHeads||o.dims[2]!==a||o.dims[3]!==D)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:Q,sequenceLength:a,pastSequenceLength:c,kvSequenceLength:d,totalSequenceLength:D,maxSequenceLength:f,inputHiddenSize:0,hiddenSize:r,vHiddenSize:y,headSize:k,vHeadSize:Math.floor(y/g.numHeads),numHeads:g.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:g.maskFilterValue,maskType:G,scale:g.scale,broadcastResPosBias:M,passPastInKv:h,qkvFormat:u}},Jw=A=>$e({...A}),aB=$e({perm:[0,2,1,3]}),kd=(A,g,e,I,i,t,C)=>{let o=[I,i,t],s=FA.size(o),B=[{type:12,data:s},{type:12,data:C},{type:12,data:t}],Q=a=>{let r=le("qkv_with_bias",g.dataType,o),d=UA("qkv",g.dataType,o),c=UA("bias",e.dataType,o),f=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${a.registerUniforms(f).declareVariables(d,c,r)}
  ${a.mainStart()}
    ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;

    qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];
  }`};return A.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:o,dataType:g.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:B}),getShaderSource:Q},{inputs:[g,e],outputs:[-1]})[0]},vt=(A,g,e,I,i,t,C,o)=>{let s=t;if(C&&FA.size(C.dims)>0){if(I===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return s=kd(A,t,C,g,I,e*i,o),s=s.reshape([g,I,e,i]),e===1||I===1?s:A.compute(QI(s,aB.perm),{inputs:[s],outputs:[-1]})[0]}else return t.dims.length===3&&(s=t.reshape([g,I,e,i])),e===1||I===1?s:A.compute(QI(s,aB.perm),{inputs:[s],outputs:[-1]})[0]},bw=(A,g)=>{let e=Gd(A.inputs,g),I=A.inputs[0],i=II(A.inputs,1),t=II(A.inputs,2),C=II(A.inputs,3),o=II(A.inputs,4),s=II(A.inputs,5),B=II(A.inputs,6),Q=II(A.inputs,7);if(I.dims.length===5)throw new Error("Packed QKV is not implemented");if(i?.dims.length===5)throw new Error("Packed KV is not implemented");let a=i&&t&&i.dims.length===4&&t.dims.length===4,r=vt(A,e.batchSize,e.numHeads,e.sequenceLength,e.headSize,I,C,0);if(a)return jt(A,r,i,t,o,void 0,B,Q,s,e);if(!i||!t)throw new Error("key and value must be provided");let d=vt(A,e.batchSize,e.numHeads,e.kvSequenceLength,e.headSize,i,C,e.hiddenSize),c=vt(A,e.batchSize,e.numHeads,e.kvSequenceLength,e.vHeadSize,t,C,2*e.hiddenSize);jt(A,r,d,c,o,void 0,B,Q,s,e)}}),Ld,Kd,Ud,Jd,jB,Tw,Yw,Hw=VA(()=>{Fe(),Le(),fg(),Je(),Ld=A=>{if(!A||A.length<1)throw new Error("too few inputs")},Kd=(A,g)=>{let e=[],I=g.numOutputs;return A[1].dims[0]>0&&(A[1].getBigInt64Array().forEach(i=>e.push(Number(i))),I=e.length),$e({numOutputs:I,axis:g.axis,splitSizes:e})},Ud=A=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${A}u; i += 1u ) {
    if (index < ${ce("uniforms.size_in_split_axis","i",A)}) {
        return i;
    }
    }
    return ${A}u;
}`,Jd=A=>{let g=A.length,e=[];for(let I=0;I<g;++I){let i=A[I].setByIndices("indices","input[global_idx]");g===1?e.push(i):I===0?e.push(`if (output_number == ${I}u) { ${i} }`):I===g-1?e.push(`else { ${i} }`):e.push(`else if (output_number == ${I}) { ${i} }`)}return`
      fn writeBufferData(output_number: u32, indices: ${A[0].type.indices}, global_idx: u32) {
        ${e.join(`
`)}
      }`},jB=(A,g)=>{let e=A[0].dims,I=FA.size(e),i=A[0].dataType,t=FA.normalizeAxis(g.axis,e.length),C=new Array(g.numOutputs),o=UA("input",i,e.length),s=new Array(g.numOutputs),B=[],Q=[],a=0,r=[{type:12,data:I}];for(let c=0;c<g.numOutputs;c++){a+=g.splitSizes[c],s[c]=a;let f=e.slice();f[t]=g.splitSizes[c],Q.push(f),C[c]=le(`output${c}`,i,f.length),B.push({dims:Q[c],dataType:A[0].dataType})}r.push({type:12,data:s},...he(e,...Q));let d=c=>`
  ${c.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",s.length).declareVariables(o,...C)}
  ${Ud(s.length)}
  ${Jd(C)}

  ${c.mainStart()}
    ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}

    var indices = ${o.offsetToIndices("global_idx")};
    var index = ${o.indicesGet("indices",t)};
    let output_number = calculateOutputIndex(index);
    if (output_number != 0) {
      index -= ${ce("uniforms.size_in_split_axis","output_number - 1u",s.length)};
      ${o.indicesSet("indices",t,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:g.cacheKey,inputDependencies:["rank"]},getShaderSource:d,getRunData:()=>({outputs:B,dispatchGroup:{x:Math.ceil(I/64)},programUniforms:r})}},Tw=(A,g)=>{Ld(A.inputs);let e=A.inputs.length===1?g:Kd(A.inputs,g);A.compute(jB(A.inputs,e),{inputs:[0]})},Yw=A=>{let g=A.axis,e=A.splitSizes,I=A.numOutputs<0?e.length:A.numOutputs;if(I!==e.length)throw new Error("numOutputs and splitSizes lengh must be equal");return $e({axis:g,numOutputs:I,splitSizes:e})}}),bd,rC,Pw,vw=VA(()=>{Fe(),Le(),fg(),Je(),bd=(A,g)=>{let[e,I,i,t]=A,{numHeads:C,rotaryEmbeddingDim:o}=g;if(e.dims.length!==3&&e.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${e.dims.length}`);if(!FA.areEqual(I.dims,[])&&!FA.areEqual(I.dims,[1])&&I.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${I.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(t.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${t.dims.length}`);if(!FA.areEqual(i.dims,t.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(o>0&&C===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let s=e.dims[0],B=e.dims[e.dims.length-2],Q=i.dims[0],a=FA.sizeFromDimension(e.dims,1)/B,r=o===0?i.dims[1]*2:a/C;if(o>r)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(I.dims.length===2){if(s!==I.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${I.dims[0]}`);if(B!==I.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${I.dims[1]}`)}if(r/2!==i.dims[1]&&o/2!==i.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(B>Q)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},rC=(A,g)=>{let{interleaved:e,numHeads:I,rotaryEmbeddingDim:i,scale:t}=g,C=A[0].dims[0],o=FA.sizeFromDimension(A[0].dims,1),s=A[0].dims[A[0].dims.length-2],B=o/s,Q=A[2].dims[1],a=i===0?Q*2:B/I,r=new Array(C,s,B/a,a-Q),d=FA.computeStrides(r),c=[{type:1,data:t},{type:12,data:r},{type:12,data:d},...A[0].dims.length===3?new Array({type:12,data:[o,B,a,1]}):[],...A[0].dims.length===4?new Array({type:12,data:[o,a,s*a,1]}):[],...he(A[0].dims,A[1].dims,A[2].dims,A[3].dims,A[0].dims)],f=k=>{let u=UA("input",A[0].dataType,A[0].dims.length),D=UA("position_ids",A[1].dataType,A[1].dims.length),G=UA("cos_cache",A[2].dataType,A[2].dims.length),h=UA("sin_cache",A[3].dataType,A[3].dims.length),y=le("output",A[0].dataType,A[0].dims.length);return k.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:r.length},{name:"global_strides",type:"u32",length:d.length},{name:"input_output_strides",type:"u32",length:d.length}]),`
        ${k.declareVariables(u,D,G,h,y)}

        ${k.mainStart(It)}
          let half_rotary_emb_dim = uniforms.${G.name}_shape[1];
          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;
          let size = uniforms.global_shape[0] * uniforms.global_strides[0];
          ${k.guardAgainstOutOfBoundsWorkgroupSizes("size")}

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${D.broadcastedIndicesToOffset("bsnh.xy",le("",D.type.tensor,2))};
            let position_id =
                u32(${D.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${e});
            let j = i + select(half_rotary_emb_dim, 1, ${e});
            let re = ${u.getByOffset("i")} * ${G.get("position_id","bsnh[3]")} -
                ${u.getByOffset("j")} * ${h.get("position_id","bsnh[3]")};
            ${y.setByOffset("i","re")}
            let im = ${u.getByOffset("i")} * ${h.get("position_id","bsnh[3]")} +
                ${u.getByOffset("j")} * ${G.get("position_id","bsnh[3]")};
            ${y.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${y.setByOffset("k",u.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:$e({interleaved:e}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:f,getRunData:()=>({outputs:[{dims:A[0].dims,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(FA.size(r)/It)},programUniforms:c})}},Pw=(A,g)=>{bd(A.inputs,g),A.compute(rC(A.inputs,g))}}),xd,Td,QB,Yd,qw,ef=VA(()=>{fg(),Fe(),Er(),xw(),Hw(),ii(),vw(),Je(),xd=(A,g)=>{if(g.doRotary&&A.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let e=A[0],I=A[1],i=A[2],t=A[3],C=A[4];if(g.doRotary!==0&&A.length<=7)throw new Error("cos_cast and sin_cache are expected if do_rotary attribute is non-zero");if(g.localWindowSize!==-1)throw new Error("Local attention is not supported");if(g.softcap!==0)throw new Error("Softcap is not supported");if(g.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(g.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(e.dims.length!==3&&e.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let o=!1,s=e.dims[0],B=e.dims[1],Q=e.dims.length===3?o?e.dims[2]/3:e.dims[2]:g.numHeads*e.dims[4],a=B,r=0,d=!I||I.dims.length===0,c=Math.floor(d?Q/(g.numHeads+2*g.kvNumHeads):Q/g.numHeads);d&&(Q=c*g.numHeads);let f=t&&t.dims.length!==0,k=C&&C.dims.length!==0;if(f&&t.dims.length===4&&t.dims[0]===s&&t.dims[1]!==g.kvNumHeads&&t.dims[2]===g.kvNumHeads&&t.dims[3]===c)throw new Error("BSNH pastKey/pastValue is not supported");if(f&&k){if(t.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(C.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');r=t.dims[2]}else if(f||k)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let u=1;if(I&&I.dims.length>0){if(e.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(I.dims.length<3||I.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(e.dims[0]!==I.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(I.dims.length===3){if(e.dims[2]%I.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');a=I.dims[1]}else if(I.dims.length===5){if(I.dims[2]!==g.numHeads||I.dims[3]!==2||I.dims[4]!==c)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');a=I.dims[1]}else{if(I.dims[1]!==g.numHeads||I.dims[3]!==c)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');a=I.dims[2]}}else{if(e.dims.length!==3&&e.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(e.dims.length===5&&(e.dims[2]!==g.numHeads||e.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');u=3}let D=0,G=!1,h=g.kvNumHeads?c*g.kvNumHeads:Q;if(i&&i.dims.length>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(e.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(a!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');h=i.dims[2]}else{if(a!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');h=i.dims[1]*i.dims[3],G=!0}}let y=A.length>4?A[5]:void 0;if(y&&y.dims.length!==1&&y.dims[0]!==s)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:s,sequenceLength:B,pastSequenceLength:r,kvSequenceLength:a,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:Q,vHiddenSize:h,headSize:c,vHeadSize:Math.floor(h/g.kvNumHeads),numHeads:g.numHeads,kvNumHeads:g.kvNumHeads,nReps:g.numHeads/g.kvNumHeads,pastPresentShareBuffer:!1,maskType:D,scale:g.scale,broadcastResPosBias:!1,passPastInKv:G,qkvFormat:u}},Td=$e({perm:[0,2,1,3]}),QB=(A,g,e)=>{let I=g,i=e.kvNumHeads;return g.dims.length===3&&e.kvSequenceLength!==0&&(I=g.reshape([e.batchSize,e.kvSequenceLength,i,e.headSize]),I=A.compute(QI(I,Td.perm),{inputs:[I],outputs:[-1]})[0]),I},Yd=(A,g,e,I)=>{let i=7,t=["type","type"],C=[A*g],o=A*g,s=[{type:12,data:o},{type:12,data:g},{type:12,data:A}],B=Q=>{let a=UA("seq_lens",e.dataType,e.dims),r=UA("total_seq_lens",I.dataType,I.dims),d=le("pos_ids",i,C),c=[{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}];return`
  ${Q.registerUniforms(c).declareVariables(a,r,d)}
  ${Q.mainStart()}
    ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let total_sequence_length = u32(${r.getByOffset("0")});
    let is_subsequent_prompt = uniforms.sequence_length > 1 && uniforms.sequence_length != total_sequence_length;
    let is_first_prompt = !is_subsequent_prompt && uniforms.sequence_length == total_sequence_length;
    let batch_idx = global_idx / uniforms.sequence_length;
    let sequence_idx = i32(global_idx % uniforms.sequence_length);
    var pos_id: i32 = 0;
    let seqlen = ${a.getByOffset("batch_idx")};
    let total_seqlen = seqlen + 1;
    if (is_first_prompt) {
      if (sequence_idx < total_seqlen) {
        pos_id = sequence_idx;
      } else {
        pos_id = 1;
      }
      ${d.setByOffset("global_idx","pos_id")}
    } else if (is_subsequent_prompt) {
      let past_seqlen = total_seqlen - i32(uniforms.sequence_length);
      if (past_seqlen + sequence_idx < total_seqlen) {
        pos_id = past_seqlen + sequence_idx;
      } else {
        pos_id = 1;
      }
      ${d.setByOffset("global_idx","pos_id")}
    } else if (global_idx < uniforms.batch_size) {
      ${d.setByOffset("global_idx","seqlen")}
    };
  }
  `};return{name:"GeneratePositionIds",shaderCache:{hint:`${A};${g}`,inputDependencies:t},getRunData:()=>({outputs:[{dims:C,dataType:i}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:s}),getShaderSource:B}},qw=(A,g)=>{let e=xd(A.inputs,g);if(A.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(A.inputs[1]?.dims.length===5)throw new Error("Packed KV is not implemented");let I=A.inputs[0],i=A.inputs[1]&&A.inputs[1].dims.length>0?A.inputs[1]:void 0,t=A.inputs[2]&&A.inputs[2].dims.length>0?A.inputs[2]:void 0,C=A.inputs[3]&&A.inputs[3].dims.length!==0?A.inputs[3]:void 0,o=A.inputs[4]&&A.inputs[4].dims.length!==0?A.inputs[4]:void 0,s=A.inputs.length>4?A.inputs[5]:void 0,B=A.inputs.length>5?A.inputs[6]:void 0,Q=e.kvNumHeads?e.kvNumHeads:e.numHeads,a=$e({axis:2,numOutputs:3,splitSizes:[e.numHeads*e.headSize,Q*e.headSize,Q*e.headSize]}),[r,d,c]=!i&&!t?A.compute(jB([I],a),{inputs:[I],outputs:[-1,-1,-1]}):[I,i,t],f,k;if(g.doRotary){let h=A.compute(Yd(e.batchSize,e.sequenceLength,s,B),{inputs:[s,B],outputs:[-1]})[0],y=A.inputs[7],M=A.inputs[8],m=$e({interleaved:g.rotaryInterleaved!==0,numHeads:e.numHeads,rotaryEmbeddingDim:0,scale:g.scale}),_=[r,h,y,M],x=[-1];f=A.compute(rC(_,m),{inputs:_,outputs:x})[0],_.splice(0,1,d);let b=$e({interleaved:g.rotaryInterleaved!==0,numHeads:e.kvNumHeads,rotaryEmbeddingDim:0,scale:g.scale});k=A.compute(rC(_,b),{inputs:_,outputs:x})[0]}let u=vt(A,e.batchSize,e.numHeads,e.sequenceLength,e.headSize,g.doRotary?f:r,void 0,0),D=QB(A,g.doRotary?k:d,e),G=QB(A,c,e);jt(A,u,D,G,void 0,void 0,C,o,void 0,e,s,B)}}),EB,Hd,Pd,Ow,gf=VA(()=>{Fe(),Le(),ii(),Je(),EB=(A,g,e,I,i,t,C,o)=>{let s=Dg(t),B=s===1?"f32":`vec${s}f`,Q=s===1?"vec2f":`mat2x${s}f`,a=i*C,r=64;a===1&&(r=256);let d=[i,C,t/s],c=[i,C,2],f=["rank","type","type"],k=[];k.push(...he(d,c));let u=D=>{let G=UA("x",g.dataType,3,s),h=UA("scale",e.dataType,e.dims),y=UA("bias",I.dataType,I.dims),M=le("output",1,3,2),m=[G,h,y,M];return`
  var<workgroup> workgroup_shared : array<${Q}, ${r}>;
  const workgroup_size = ${r}u;
  ${D.declareVariables(...m)}
  ${D.mainStart(r)}
    let batch = workgroup_index / uniforms.x_shape[1];
    let channel = workgroup_index % uniforms.x_shape[1];
    let hight = uniforms.x_shape[2];
    // initialize workgroup memory
    var sum = ${B}(0);
    var squared_sum = ${B}(0);
    for (var h = local_idx; h < hight; h += workgroup_size) {
      let value = ${B}(${G.get("batch","channel","h")});
      sum += value;
      squared_sum += value * value;
    }
    workgroup_shared[local_idx] = ${Q}(sum, squared_sum);
    workgroupBarrier();

    for (var currSize = workgroup_size >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (local_idx < currSize) {
        workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize];
      }
      workgroupBarrier();
    }
    if (local_idx == 0) {
      let sum_final = ${Ii("workgroup_shared[0][0]",s)} / f32(hight * ${s});
      let squared_sum_final = ${Ii("workgroup_shared[0][1]",s)} / f32(hight * ${s});

      let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${o}));
      let channel_scale = inv_std_dev * f32(scale[channel]);
      let channel_shift = f32(bias[channel]) - sum_final * channel_scale;
      output[workgroup_index] = vec2f(channel_scale, channel_shift);
    }
  }`};return A.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${s};${o};${r}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:c,dataType:1}],dispatchGroup:{x:a},programUniforms:k}),getShaderSource:u},{inputs:[g,e,I],outputs:[-1]})[0]},Hd=(A,g,e)=>{let I=g[0].dims,i=I,t=2,C=I[0],o=I[1],s=FA.sizeFromDimension(I,t),B=Dg(s),Q=FA.size(i)/B,a=EB(A,g[0],g[1],g[2],C,s,o,e.epsilon),r=[C,o,s/B],d=[C,o],c=["type","none"],f=k=>{let u=UA("x",g[0].dataType,r.length,B),D=UA("scale_shift",1,d.length,2),G=le("output",g[0].dataType,r.length,B),h=[u,D,G];return`
  ${k.registerUniform("output_size","u32").declareVariables(...h)}
  ${k.mainStart()}
  ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let outputIndices = ${G.offsetToIndices("global_idx")};
      let batch = outputIndices[0];
      let channel = outputIndices[1];
      let scale_shift = ${D.getByIndices("vec2<u32>(batch, channel)")};
      let value = ${u.getByOffset("global_idx")} * ${G.type.value}(scale_shift.x) + ${G.type.value}(scale_shift.y);
      ${G.setByOffset("global_idx","value")};
  }`};A.compute({name:"InstanceNormalization",shaderCache:{hint:`${B}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:i,dataType:g[0].dataType}],dispatchGroup:{x:Math.ceil(Q/64)},programUniforms:[{type:12,data:Q},...he(r,d,r)]}),getShaderSource:f},{inputs:[g[0],a]})},Pd=(A,g,e)=>{let I=g[0].dims,i=I,t=I[0],C=I[I.length-1],o=FA.sizeFromDimension(I,1)/C,s=Dg(C),B=FA.size(i)/s,Q=[{type:12,data:o},{type:12,data:Math.floor(C/s)}],a=["type","type"],r=!1,d=[0,I.length-1];for(let u=0;u<I.length-2;u++)r=r||I[u+1]!==1,d.push(u+1);r=r&&I[I.length-1]!==1;let c=r?A.compute(QI(A.inputs[0],d),{inputs:[A.inputs[0]],outputs:[-1]})[0]:A.inputs[0].reshape(Array.from({length:I.length},(u,D)=>I[d[D]])),f=EB(A,c,g[1],g[2],t,o,C,e.epsilon),k=u=>{let D=Hg(g[0].dataType),G=s===1?"vec2f":`mat${s}x2f`,h=m=>{let _=m===0?"x":"y",x=s===1?"f32":`vec${s}f`;switch(s){case 1:return`${D}(${x}(scale.${_}))`;case 2:return`vec2<${D}>(${x}(scale[0].${_}, scale[1].${_}))`;case 4:return`vec4<${D}>(${x}(scale[0].${_}, scale[1].${_}, scale[2].${_}, scale[3].${_}))`;default:throw new Error(`Not supported compoents ${s}`)}},y=UA("input",g[0].dataType,g[0].dims,s),M=le("output",g[0].dataType,i,s);return`
  @group(0) @binding(0) var<storage, read> input : array<${y.type.storage}>;
  @group(0) @binding(1) var<storage, read> scale_input : array<${G}>;
  @group(0) @binding(2) var<storage, read_write> output : array<${M.type.storage}>;
  struct Uniforms {H: u32, C : u32};
  @group(0) @binding(3) var<uniform> uniforms: Uniforms;

  ${u.mainStart()}
    let current_image_number = global_idx / (uniforms.C * uniforms.H);
    let current_channel_number = global_idx % uniforms.C;

    let scale_offset = current_image_number * uniforms.C + current_channel_number;
    let scale = scale_input[scale_offset];
    output[global_idx] = fma(input[global_idx], ${h(0)}, ${h(1)});
  }`};A.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${s}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:i,dataType:g[0].dataType}],dispatchGroup:{x:Math.ceil(B/64)},programUniforms:Q}),getShaderSource:k},{inputs:[g[0],f]})},Ow=(A,g)=>{g.format==="NHWC"?Pd(A,A.inputs,g):Hd(A,A.inputs,g)}}),vd,qd,Ww,If=VA(()=>{Fe(),Le(),Je(),vd=A=>{if(!A||A.length<2)throw new Error("layerNorm requires at least 2 inputs.")},qd=(A,g,e)=>{let I=g.simplified,i=A[0].dims,t=A[1],C=!I&&A[2],o=i,s=FA.normalizeAxis(g.axis,i.length),B=FA.sizeToDimension(i,s),Q=FA.sizeFromDimension(i,s),a=FA.size(t.dims),r=C?FA.size(C.dims):0;if(a!==Q||C&&r!==Q)throw new Error(`Size of X.shape()[axis:] == ${Q}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${a} and bias size of ${r}`);let d=[];for(let y=0;y<i.length;++y)y<s?d.push(i[y]):d.push(1);let c=Dg(Q),f=["type","type"],k=[{type:12,data:B},{type:1,data:Q},{type:12,data:Math.floor(Q/c)},{type:1,data:g.epsilon}];C&&f.push("type");let u=e>1,D=e>2,G=y=>{let M=Hg(A[0].dataType),m=[UA("x",A[0].dataType,A[0].dims,c),UA("scale",t.dataType,t.dims,c)];C&&m.push(UA("bias",C.dataType,C.dims,c)),m.push(le("output",A[0].dataType,o,c)),u&&m.push(le("mean_data_output",1,d)),D&&m.push(le("inv_std_output",1,d));let _=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${y.registerUniforms(_).declareVariables(...m)}
  ${y.mainStart()}
    ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${xB("f32",c)};
    var mean_square_vector = ${xB("f32",c)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${et(M,c,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${Ii("mean_vector",c)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${Ii("mean_square_vector",c)} / uniforms.norm_size ${I?"":"- mean * mean"} + uniforms.epsilon);

    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
      let f32input = ${et(M,c,"x[j + offset]")};
      let f32scale = ${et(M,c,"scale[j]")};
      output[j + offset] = ${m[0].type.value}((f32input ${I?"":"- mean"}) * inv_std_dev * f32scale
        ${C?`+ ${et(M,c,"bias[j]")}`:""}
      );
    }

    ${u?"mean_data_output[global_idx] = mean":""};
    ${D?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},h=[{dims:o,dataType:A[0].dataType}];return u&&h.push({dims:d,dataType:1}),D&&h.push({dims:d,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${c};${e};${I}`,inputDependencies:f},getRunData:()=>({outputs:h,dispatchGroup:{x:Math.ceil(B/64)},programUniforms:k}),getShaderSource:G}},Ww=(A,g)=>{vd(A.inputs),A.compute(qd(A.inputs,g,A.outputCount))}}),Od,jw,tf=VA(()=>{Le(),hr(),ur(),Od=A=>{if(!A||A.length!==2)throw new Error("MatMul requires 2 inputs.");if(A[0].dims[A[0].dims.length-1]!==A[1].dims[A[1].dims.length-2])throw new Error("shared dimension does not match.")},jw=A=>{Od(A.inputs);let g=gt.calcShape(A.inputs[0].dims,A.inputs[1].dims,!0);if(!g)throw new Error("Can't use matmul on the given tensors");let e=g[g.length-1],I=A.inputs[0].dims[A.inputs[0].dims.length-1];if(e<8&&I<8)A.compute(dr(A.inputs,{activation:""},g));else{let i=g[g.length-2],t=FA.size(A.inputs[0].dims.slice(0,-2)),C=FA.size(A.inputs[1].dims.slice(0,-2));if(t!==1&&i===1&&C===1){let o=A.inputs[0].reshape([1,t,I]),s=A.inputs[1].reshape([1,I,e]),B=[1,t,e],Q=[o,s];A.compute(BC(Q,{activation:""},g,B),{inputs:Q})}else A.compute(BC(A.inputs,{activation:""},g))}}}),Wd,jd,Vd,Vw,zw,of=VA(()=>{Fe(),Le(),fg(),Je(),Wd=(A,g)=>{if(A.length<3||A.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let e=A[0],I=e.dims.length;if(e.dims[I-1]!==g.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((g.k+g.blockSize-1)/g.blockSize),t=g.blockSize/8*g.bits,C=A[1];if(!FA.areEqual(C.dims,[g.n,i,t]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let o=A[2].dims;if(FA.size(o)!==g.n*i)throw new Error("scales input size error.");if(A.length===4){let s=A[3].dims,B=g.bits>4?g.n*i:g.n*Math.floor((i+1)/2);if(FA.size(s)!==B)throw new Error("zeroPoints input size error.")}},jd=(A,g)=>{let e=A[0].dims,I=e.length,i=e[I-2],t=g.k,C=g.n,o=e.slice(0,I-2),s=FA.size(o),B=A[1].dims[2]/4,Q=A[0].dataType,a=Dg(g.k),r=Dg(B),d=Dg(C),c=o.concat([i,C]),f=i>1&&C/d%2===0?2:1,k=FA.size(c)/d/f,u=64,D=[],G=[s,i,t/a],h=FA.convertShape(A[1].dims).slice();h.splice(-1,1,B/r),D.push(...he(G)),D.push(...he(h)),D.push(...he(A[2].dims)),A.length===4&&D.push(...he(FA.convertShape(A[3].dims)));let y=[s,i,C/d];D.push(...he(y));let M=m=>{let _=G.length,x=UA("a",A[0].dataType,_,a),b=UA("b",12,h.length,r),X=UA("scales",A[2].dataType,A[2].dims.length),Z=[x,b,X],T=A.length===4?UA("zero_points",12,A[3].dims.length):void 0;T&&Z.push(T);let CA=y.length,eA=le("output",A[0].dataType,CA,d),tA=Hg(A[0].dataType),BA=(()=>{switch(a){case 1:return`array<${tA}, 8>`;case 2:return`mat4x2<${tA}>`;case 4:return`mat2x4<${tA}>`;default:throw new Error(`${a}-component is not supported.`)}})(),sA=()=>{let P=`
          // reuse a data
            var input_offset = ${x.indicesToOffset(`${x.type.indices}(batch, row, word_offset)`)};
            var a_data: ${BA};
            for (var j: u32 = 0; j < ${8/a}; j++) {
              a_data[j] = ${x.getByOffset("input_offset")};
              input_offset++;
            }
          `;for(let U=0;U<d*f;U++)P+=`
            b_value = ${r===1?`b${U}_data`:`b${U}_data[i]`};
            b_value_lower = unpack4xU8(b_value & b_mask);
            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
            b_quantized_values = ${BA}(${Array.from({length:4},(z,v)=>`${tA}(b_value_lower[${v}]), ${tA}(b_value_upper[${v}])`).join(", ")});
            b_dequantized_values = ${a===1?`${BA}(${Array.from({length:8},(z,v)=>`(b_quantized_values[${v}] - ${T?`zero_point${U}`:"zero_point"}) * scale${U}`).join(", ")});`:`(b_quantized_values - ${BA}(${Array(8).fill(`${T?`zero_point${U}`:"zero_point"}`).join(",")})) * scale${U};`};
            workgroup_shared[local_id.x * ${f} + ${Math.floor(U/d)}]${d>1?`[${U%d}]`:""} += ${Array.from({length:8/a},(z,v)=>`${a===1?`a_data[${v}] * b_dequantized_values[${v}]`:`dot(a_data[${v}], b_dequantized_values[${v}])`}`).join(" + ")};
          `;return P},cA=()=>{let P=`
            var col_index = col * ${d};
            ${T?`
            let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;
            var zero_point_byte_count: u32;
            var zero_point_word_index: u32;
            var zero_point_byte_offset: u32;
            let zero_point_nibble_offset: u32 = block & 0x1u;
            var zero_point_bits_offset: u32;
            var zero_point_word: u32;`:`
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${tA}(8);`}
            `;for(let U=0;U<d*f;U++)P+=`
            let scale${U} = ${X.getByOffset("col_index * nBlocksPerCol + block")};
            ${T?`
            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);
            zero_point_word_index = zero_point_byte_count >> 0x2u;
            zero_point_byte_offset = zero_point_byte_count & 0x3u;
            zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            zero_point_word = ${T.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point${U} = ${tA}((zero_point_word) & 0xFu);`:""}
            col_index += 1;`;return P},dA=()=>{let P=`col_index = col * ${d};`;for(let U=0;U<d*f;U++)P+=`
            let b${U}_data = ${b.getByIndices(`${b.type.indices}(col_index, block, word)`)};
            col_index += 1;`;return P+=`
            var b_value: u32;
            let b_mask: u32 = 0x0F0F0F0Fu;
            var b_value_lower: vec4<u32>;
            var b_value_upper: vec4<u32>;
            var b_quantized_values: ${BA};
            var b_dequantized_values: ${BA};`,P};return`
        var<workgroup> workgroup_shared: array<${eA.type.value}, ${f*u}>;
        ${m.declareVariables(...Z,eA)}
        ${m.mainStart([u,1,1])}
          let output_indices = ${eA.offsetToIndices(`(global_idx / ${u}) * ${f}`)};
          let col = output_indices[2];
          let row = output_indices[1];
          let batch = output_indices[0];
          let nBlocksPerCol = uniforms.b_shape[1];

          for (var block = local_id.x; block < nBlocksPerCol; block += ${u}) {
            //process one block
            var word_offset: u32 = block * ${g.blockSize/a};
            ${cA()}
            for (var word: u32 = 0; word < ${B}; word += ${r}) {
              ${dA()}
              for (var i: u32 = 0; i < ${r}; i++) {
                ${sA()}
                word_offset += ${8/a};
              }
            }
          }
          workgroupBarrier();

          if (local_id.x < ${f}) {
            var output_value: ${eA.type.value} = ${eA.type.value}(0);
            var workgroup_shared_offset: u32 = local_id.x;
            for (var b: u32 = 0u; b < ${u}u; b++) {
              output_value += workgroup_shared[workgroup_shared_offset];
              workgroup_shared_offset += ${f};
            }
            ${eA.setByIndices(`${eA.type.indices}(batch, row, col + local_id.x)`,"output_value")};
          }
        }`};return{name:"MatMulNBits",shaderCache:{hint:`${g.blockSize};${g.bits};${a};${r};${d};${f};${u}`,inputDependencies:Array(A.length).fill("rank")},getRunData:()=>({outputs:[{dims:c,dataType:Q}],dispatchGroup:{x:k},programUniforms:D}),getShaderSource:M}},Vd=(A,g)=>{let e=A[0].dims,I=e.length,i=e[I-2],t=g.k,C=g.n,o=e.slice(0,I-2),s=FA.size(o),B=A[1].dims[2]/4,Q=A[0].dataType,a=Dg(g.k),r=Dg(B),d=o.concat([i,C]),c=128,f=C%8===0?8:C%4===0?4:1,k=c/f,u=k*r*8,D=u/a,G=u/g.blockSize,h=FA.size(d)/f,y=[],M=[s,i,t/a],m=FA.convertShape(A[1].dims).slice();m.splice(-1,1,B/r),y.push(...he(M)),y.push(...he(m)),y.push(...he(A[2].dims)),A.length===4&&y.push(...he(FA.convertShape(A[3].dims)));let _=[s,i,C];y.push(...he(_));let x=b=>{let X=M.length,Z=UA("a",A[0].dataType,X,a),T=UA("b",12,m.length,r),CA=UA("scales",A[2].dataType,A[2].dims.length),eA=[Z,T,CA],tA=A.length===4?UA("zero_points",12,A[3].dims.length):void 0;tA&&eA.push(tA);let BA=_.length,sA=le("output",A[0].dataType,BA),cA=Hg(A[0].dataType),dA=()=>{switch(a){case 1:return`
          let a_data0 = vec4<${cA}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);
          let a_data1 = vec4<${cA}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return`
          let a_data0 = vec4<${cA}>(sub_a[word_offset], sub_a[word_offset + 1]);
          let a_data1 = vec4<${cA}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return`
          let a_data0 = sub_a[word_offset];
          let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${a}-component is not supported.`)}};return`
        var<workgroup> sub_a: array<${Z.type.value}, ${D}>;
        var<workgroup> inter_results: array<array<${sA.type.value}, ${k}>, ${f}>;
        ${b.declareVariables(...eA,sA)}
        ${b.mainStart([k,f,1])}
          let output_indices = ${sA.offsetToIndices(`workgroup_index * ${f}`)};
          let col = output_indices[2];
          let row = output_indices[1];
          let batch = output_indices[0];
          let n_blocks_per_col = uniforms.b_shape[1];
          let num_tiles =  (n_blocks_per_col - 1) / ${G} + 1;

          // Loop over shared dimension.
          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
            let a_col_start = tile * ${D};
            // load one tile A data into shared memory.
            for (var a_offset = local_idx; a_offset < ${D}; a_offset += ${c})
            {
              let a_col = a_col_start + a_offset;
              if (a_col < uniforms.a_shape[2])
              {
                sub_a[a_offset] = ${Z.getByIndices(`${Z.type.indices}(batch, row, a_col)`)};
              } else {
                sub_a[a_offset] = ${Z.type.value}(0);
              }
            }
            workgroupBarrier();

            // each thread process one block
            let b_row = col + local_id.y;
            let block = tile * ${G} + local_id.x;
            ${tA?`
            let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2;
            let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u);
            let zero_point_word_index = zero_point_byte_count >> 0x2u;
            let zero_point_byte_offset = zero_point_byte_count & 0x3u;
            let zero_point_nibble_offset: u32 = block & 0x1u;
            let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            let zero_point_word = ${tA.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point = ${cA}((zero_point_word) & 0xFu);`:`
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${cA}(8);`}
            let scale = ${CA.getByOffset("b_row * n_blocks_per_col + block")};
            let b_data = ${T.getByIndices(`${T.type.indices}(b_row, block, 0)`)};
            var word_offset = local_id.x * ${g.blockSize/a};
            for (var i: u32 = 0; i < ${r}; i++) {
              ${dA()}
              let b_value = ${r===1?"b_data":"b_data[i]"};
              let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);
              let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);
              let b_quantized_values = mat2x4<${cA}>(${Array.from({length:4},(P,U)=>`${cA}(b_value_lower[${U}]), ${cA}(b_value_upper[${U}])`).join(", ")});
              let b_dequantized_values = (b_quantized_values - mat2x4<${cA}>(${Array(8).fill("zero_point").join(",")})) * scale;
              inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(P,U)=>`${`dot(a_data${U}, b_dequantized_values[${U}])`}`).join(" + ")};
              word_offset += ${8/a};
            }
            workgroupBarrier();
          }

          if (local_idx < ${f}) {
            var output_value: ${sA.type.value} = ${sA.type.value}(0);
            for (var b = 0u; b < ${k}; b++) {
              output_value += inter_results[local_idx][b];
            }
            if (col + local_idx < uniforms.output_shape[2])
            {
              ${sA.setByIndices(`${sA.type.indices}(batch, row, col + local_idx)`,"output_value")}
            }
          }
        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${g.blockSize};${a};${r};${k};${f}`,inputDependencies:Array(A.length).fill("rank")},getRunData:()=>({outputs:[{dims:d,dataType:Q}],dispatchGroup:{x:h},programUniforms:y}),getShaderSource:x}},Vw=(A,g)=>{Wd(A.inputs,g),g.blockSize===32&&A.adapterInfo.isVendor("intel")&&A.adapterInfo.isArchitecture("gen-12lp")?A.compute(Vd(A.inputs,g)):A.compute(jd(A.inputs,g))},zw=A=>$e(A)}),zd,$d,Xd,Zd,Ah,eh,gh,Ih,$w,Cf=VA(()=>{Fe(),Le(),Je(),zd=A=>{if(!A||A.length<1)throw new Error("Too few inputs");if(A[0].dataType!==1&&A[0].dataType!==10)throw new Error("Input type must be float or float16.");if(A.length>=2){let g=A[0].dims.length*2===A[1].dims[0];if(A.length===4&&(g=A[3].dims[0]*2===A[1].dims[0]),!g)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},$d=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
            k = i32(${A.indicesGet("indices",i)}) - ${ce("uniforms.pads",i,e)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${ce("uniforms.x_shape",i,g)})) {
              break;
            }
            offset += k * i32(${ce("uniforms.x_strides",i,g)});
        `;return`
          value = ${A.type.value}(uniforms.constant_value);
          for (var i = 0; i < 1; i++) {
            var offset = 0;
            var k = 0;
            ${I}
            value = x[offset];
          }
      `},Xd=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${ce("uniforms.pads",i,e)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${ce("uniforms.x_shape",i,g)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${ce("uniforms.x_shape",i,g)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${ce("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},Zd=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${ce("uniforms.pads",i,e)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${ce("uniforms.x_shape",i,g)})) {
                  k = i32(${ce("uniforms.x_shape",i,g)}) - 1;
                }
                offset += k * i32(${ce("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},Ah=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${ce("uniforms.pads",i,e)};
                if (k < 0)  {
                  k += i32(${ce("uniforms.x_shape",i,g)}]);
                }
                if (k >= i32(${ce("uniforms.x_shape",i,g)})) {
                  k -= i32(${ce("uniforms.x_shape",i,g)});
                }
                offset += k * i32(${ce("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},eh=(A,g,e)=>{switch(e.mode){case 0:return $d(A,g,e.pads.length);case 1:return Xd(A,g,e.pads.length);case 2:return Zd(A,g,e.pads.length);case 3:return Ah(A,g,e.pads.length);default:throw new Error("Invalid mode")}},gh=(A,g)=>{let e=FA.padShape(A[0].dims.slice(),g.pads),I=A[0].dims,i=FA.size(e),t=[{type:12,data:i},{type:6,data:g.pads}],C=A.length>=3&&A[2].data;g.mode===0&&t.push({type:C?A[2].dataType:1,data:g.value}),t.push(...he(A[0].dims,e));let o=["rank"],s=B=>{let Q=le("output",A[0].dataType,e.length),a=UA("x",A[0].dataType,I.length),r=a.type.value,d=eh(Q,I.length,g),c=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:g.pads.length}];return g.mode===0&&c.push({name:"constant_value",type:C?r:"f32"}),`
            ${B.registerUniforms(c).declareVariables(a,Q)}
            ${B.mainStart()}
            ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

            let indices = ${Q.offsetToIndices("global_idx")};

            var value = ${r}(0);
            ${d}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${g.mode}${C}`,inputDependencies:o},getRunData:()=>({outputs:[{dims:e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(FA.size(e)/64)},programUniforms:t}),getShaderSource:s}},Ih=(A,g)=>{if(A.length>1){let e=A[1].getBigInt64Array(),I=A.length>=3&&A[2].data?A[2].dataType===10?A[2].getUint16Array()[0]:A[2].getFloat32Array()[0]:0,i=A[0].dims.length,t=new Int32Array(2*i).fill(0);if(A.length>=4){let o=A[3].getBigInt64Array();for(let s=0;s<o.length;s++)t[Number(o[s])]=Number(e[s]),t[Number(o[s])+i]=Number(e[s+o.length])}else e.forEach((o,s)=>t[Number(s)]=Number(o));let C=[];return t.forEach(o=>C.push(o)),{mode:g.mode,value:I,pads:C}}else return g},$w=(A,g)=>{zd(A.inputs);let e=Ih(A.inputs,g);A.compute(gh(A.inputs,e),{inputs:[0]})}}),Jt,nB,lB,cB,dB,ih,th,hB,uB,Xw,Zw,DB,A0,e0,wB,g0,I0,i0,t0,sf=VA(()=>{JI(),Fe(),Le(),Je(),Jt=A=>{if(rg.webgpu.validateInputContent&&(!A||A.length!==1))throw new Error("Pool ops requires 1 input.")},nB=(A,g,e)=>{let I=g.format==="NHWC",i=A.dims.slice();I&&i.splice(1,0,i.pop());let t=Object.hasOwnProperty.call(g,"dilations"),C=g.kernelShape.slice(),o=g.strides.slice(),s=t?g.dilations.slice():[],B=g.pads.slice();CC.adjustPoolAttributes(e,i,C,o,s,B);let Q=CC.computePoolOutputShape(e,i,o,s,C,B,g.autoPad),a=Object.assign({},g);t?Object.assign(a,{kernelShape:C,strides:o,pads:B,dilations:s,cacheKey:g.cacheKey}):Object.assign(a,{kernelShape:C,strides:o,pads:B,cacheKey:g.cacheKey});let r=Q.slice();return r.push(r.splice(1,1)[0]),[a,I?r:Q]},lB=(A,g)=>{let e=g.format==="NHWC",I=FA.size(A),i=FA.size(g.kernelShape),t=[{type:12,data:I},{type:12,data:i}],C=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(g.kernelShape.length<=2){let o=g.kernelShape[g.kernelShape.length-1],s=g.strides[g.strides.length-1],B=g.pads[g.pads.length/2-1],Q=g.pads[g.pads.length-1],a=!!(B+Q);t.push({type:12,data:o},{type:12,data:s},{type:12,data:B},{type:12,data:Q}),C.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let r=!1;if(g.kernelShape.length===2){let d=g.kernelShape[g.kernelShape.length-2],c=g.strides[g.strides.length-2],f=g.pads[g.pads.length/2-2],k=g.pads[g.pads.length-2];r=!!(f+k),t.push({type:12,data:d},{type:12,data:c},{type:12,data:f},{type:12,data:k}),C.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[t,C,!0,a,r]}else{if(e)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let o=FA.computeStrides(g.kernelShape);t.push({type:12,data:o},{type:12,data:g.pads},{type:12,data:g.strides}),C.push({name:"kernelStrides",type:"u32",length:o.length},{name:"pads",type:"u32",length:g.pads.length},{name:"strides",type:"u32",length:g.strides.length});let s=g.pads.reduce((B,Q)=>B+Q);return[t,C,!!s,!1,!1]}},cB=(A,g,e,I,i,t,C,o,s,B,Q,a)=>{let r=i.format==="NHWC",d=g.type.value,c=le("output",g.type.tensor,I);if(i.kernelShape.length<=2){let f="",k="",u="",D=e-(r?2:1);if(Q?f=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${D}] = indices[${D}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${D}] < 0 || xIndices[${D}]
                      >= uniforms.x_shape[${D}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${g.indicesToOffset("xIndices")}];
                  ${t}
                }`:f=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${D}] = indices[${D}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${g.indicesToOffset("xIndices")}];
                  ${t}
                }`,i.kernelShape.length===2){let G=e-(r?3:2);a?k=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${G}] = indices[${G}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${G}] < 0 || xIndices[${G}] >= uniforms.x_shape[${G}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:k=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${G}] = indices[${G}] * uniforms.sh - uniforms.phStart + j;
                `,u=`
              }
            `}return`
            ${A.registerUniforms(s).declareVariables(g,c)}

            ${A.mainStart()}
              ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

              let indices = ${c.offsetToIndices("global_idx")};
              var xIndices = ${c.offsetToIndices("global_idx")};

              var value = ${d}(${o});
              var pad = 0;
              ${k}
              ${f}
              ${u}
              ${C}

              output[global_idx] = value;
            }`}else{if(r)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let f=i.kernelShape.length,k=i.pads.length,u="";return B?u=`
                if (xIndices[j] >= uniforms.x_shape[j]) {
                  pad++;
                  isPad = true;
                  break;
                }
              }
              if (!isPad) {
                let x_val = x[${g.indicesToOffset("xIndices")}];
                ${t}
              }`:u=`
              }
              let x_val = x[${g.indicesToOffset("xIndices")}];
              ${t}
            `,`
            ${A.registerUniforms(s).declareVariables(g,c)}

            ${A.mainStart()}
              ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
              let indices = ${c.offsetToIndices("global_idx")};
              var xIndices = ${c.offsetToIndices("global_idx")};

              var offsets: array<u32, ${f}>;

              var value = ${d}(${o});
              var pad = 0;
              var isPad = false;

              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {
                var offset = i;
                for (var j = 0u; j < ${f-1}u; j++) {
                  offsets[j] = offset / ${ce("uniforms.kernelStrides","j",f)};
                  offset -= offsets[j] * ${ce("uniforms.kernelStrides","j",f)};
                }
                offsets[${f-1}] = offset;

                isPad = false;
                for (var j = ${e-f}u; j < ${e}u; j++) {
                  xIndices[j] = indices[j] * ${ce("uniforms.strides",`j - ${e-f}u`,f)}
                    + offsets[j - ${e-f}u] - ${ce("uniforms.pads","j - 2u",k)};
                  ${u}
              }
              ${C}

              output[global_idx] = value;
            }`}},dB=A=>`${A.format};${A.ceilMode};${A.autoPad};${A.kernelShape.length}`,ih=A=>`${dB(A)};${A.countIncludePad}`,th=A=>`${dB(A)};${A.storageOrder};${A.dilations}`,hB=A=>({format:A.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][A.auto_pad],ceilMode:A.ceil_mode,kernelShape:A.kernel_shape,strides:A.strides,pads:A.pads}),uB=(A,g,e,I)=>{let[i,t]=nB(g,I,e),C=UA("x",g.dataType,g.dims.length),o=C.type.value,s="value += x_val;",B="";i.countIncludePad?B+=`value /= ${o}(uniforms.kernelSize);`:B+=`value /= ${o}(i32(uniforms.kernelSize) - pad);`;let[Q,a,r,d,c]=lB(t,i);Q.push(...he(g.dims,t));let f=["rank"];return{name:A,shaderCache:{hint:`${I.cacheKey};${r};${d};${c}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:t,dataType:g.dataType}],dispatchGroup:{x:Math.ceil(FA.size(t)/64)},programUniforms:Q}),getShaderSource:k=>cB(k,C,g.dims.length,t.length,i,s,B,0,a,r,d,c)}},Xw=A=>{let g=A.count_include_pad!==0,e=hB(A);if(e.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let I={countIncludePad:g,...e,cacheKey:""};return{...I,cacheKey:ih(I)}},Zw=(A,g)=>{Jt(A.inputs),A.compute(uB("AveragePool",A.inputs[0],!1,g))},DB={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},A0=A=>{let g=A.format;return{format:g,...DB,cacheKey:g}},e0=(A,g)=>{Jt(A.inputs),A.compute(uB("GlobalAveragePool",A.inputs[0],!0,g))},wB=(A,g,e,I)=>{let[i,t]=nB(g,I,e),C=`
      value = max(x_val, value);
    `,o="",s=UA("x",g.dataType,g.dims.length),B=["rank"],[Q,a,r,d,c]=lB(t,i);return Q.push(...he(g.dims,t)),{name:A,shaderCache:{hint:`${I.cacheKey};${r};${d};${c}`,inputDependencies:B},getRunData:()=>({outputs:[{dims:t,dataType:g.dataType}],dispatchGroup:{x:Math.ceil(FA.size(t)/64)},programUniforms:Q}),getShaderSource:f=>cB(f,s,g.dims.length,t.length,i,C,o,g.dataType===10?-65504:-1e5,a,r,d,c)}},g0=(A,g)=>{Jt(A.inputs),A.compute(wB("MaxPool",A.inputs[0],!1,g))},I0=A=>{let g=A.storage_order,e=A.dilations,I=hB(A);if(g!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(I.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:g,dilations:e,...I,cacheKey:""};return{...i,cacheKey:th(i)}},i0=A=>{let g=A.format;return{format:g,...DB,cacheKey:g}},t0=(A,g)=>{Jt(A.inputs),A.compute(wB("GlobalMaxPool",A.inputs[0],!0,g))}}),oh,Ch,o0,C0,Bf=VA(()=>{Fe(),Le(),fg(),Je(),oh=(A,g)=>{if(A.length<2||A.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(A.length===3&&A[1].dims===A[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(A.length===3&&A[0].dataType!==A[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(A[0].dataType===6&&A.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(A[1].dims.length!==0&&A[1].dims.length!==1&&A[1].dims.length!==A[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(A.length>2){if(A[0].dataType!==A[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(A[1].dims.length!==A[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!A[1].dims.map((e,I)=>e===A[2].dims[I]).reduce((e,I)=>e&&I,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(g.blockSize>0){if(A[1].dims.length===0||A[1].dims.length===1&&A[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!A[1].dims.map((i,t)=>t===g.axis||i===A[0].dims[t]).reduce((i,t)=>i&&t,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(A[1].dims.length!==A[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let e=A[0].dims[g.axis],I=A[1].dims[g.axis];if(g.blockSize<Math.ceil(e/I)||g.blockSize>Math.ceil(e/(I-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},Ch=(A,g)=>{let e=FA.normalizeAxis(g.axis,A[0].dims.length),I=A[0].dataType,i=I===3,t=A[0].dims,C=A[1].dataType,o=FA.size(t),s=I===3||I===2,B=s?[Math.ceil(FA.size(A[0].dims)/4)]:A[0].dims,Q=A[1].dims,a=A.length>2?A[2]:void 0,r=a?s?[Math.ceil(FA.size(a.dims)/4)]:a.dims:void 0,d=Q.length===0||Q.length===1&&Q[0]===1,c=d===!1&&Q.length===1,f=Dg(o),k=d&&(!s||f===4),u=k?f:1,D=k&&!s?f:1,G=UA("input",s?12:I,B.length,D),h=UA("scale",C,Q.length),y=a?UA("zero_point",s?12:I,r.length):void 0,M=le("output",C,t.length,u),m=[G,h];y&&m.push(y);let _=[B,Q];a&&_.push(r);let x=[{type:12,data:o/u},{type:12,data:e},{type:12,data:g.blockSize},...he(..._,t)],b=X=>{let Z=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
      ${X.registerUniforms(Z).declareVariables(...m,M)}
      ${X.mainStart()}
          ${X.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let output_indices = ${M.offsetToIndices("global_idx")};

          // Set input x
          ${s?`
            let input = ${G.getByOffset("global_idx / 4")};
            let x_vec = ${i?"unpack4xI8(input)":"unpack4xU8(input)"};
            let x_value = ${u===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${G.getByOffset("global_idx")};`};

          // Set scale input
          ${d?`let scale_value= ${h.getByOffset("0")}`:c?`
            let scale_index = ${M.indicesGet("output_indices","uniforms.axis")};
            let scale_value= ${h.getByOffset("scale_index")};`:`
            var scale_indices: ${h.type.indices} = output_indices;
            let index = ${h.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size;
            ${h.indicesSet("scale_indices","uniforms.axis","index")};
            let scale_value= ${h.getByIndices("scale_indices")};`};

          // Set zero-point input
          ${y?d?s?`
                let zero_point_input = ${y.getByOffset("0")};
                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${y.getByOffset("0")}`:c?s?`
                let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")};
                let zero_point_input = ${y.getByOffset("zero_point_index / 4")};
                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
                let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")};
                let zero_point_value = ${y.getByOffset("zero_point_index")};`:s?`
                let zero_point_offset = ${h.indicesToOffset("scale_indices")};
                let zero_point_input = ${y.getByOffset("zero_point_offset / 4")};
                let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${y.getByIndices("scale_indices")};`:`let zero_point_value = ${s?i?"i32":"u32":G.type.value}(0);`};
      // Compute and write output
      ${M.setByOffset("global_idx",`${M.type.value}(x_value - zero_point_value) * scale_value`)};
      }`};return{name:"DequantizeLinear",shaderCache:{hint:g.cacheKey,inputDependencies:y?["rank","rank","rank"]:["rank","rank"]},getShaderSource:b,getRunData:()=>({outputs:[{dims:t,dataType:C}],dispatchGroup:{x:Math.ceil(o/u/64),y:1,z:1},programUniforms:x})}},o0=(A,g)=>{oh(A.inputs,g),A.compute(Ch(A.inputs,g))},C0=A=>$e({axis:A.axis,blockSize:A.blockSize})}),sh,Bh,s0,rf=VA(()=>{JI(),Fe(),Je(),sh=(A,g,e)=>{let I=A===g,i=A<g&&e<0,t=A>g&&e>0;if(I||i||t)throw new Error("Range these inputs' contents are invalid.")},Bh=(A,g,e,I)=>{let i=Math.abs(Math.ceil((g-A)/e)),t=[i],C=i,o=[{type:12,data:C},{type:I,data:A},{type:I,data:e},...he(t)],s=B=>{let Q=le("output",I,t.length),a=Q.type.value,r=[{name:"outputSize",type:"u32"},{name:"start",type:a},{name:"delta",type:a}];return`
        ${B.registerUniforms(r).declareVariables(Q)}
        ${B.mainStart()}
        ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${a}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${I}`},getShaderSource:s,getRunData:()=>({outputs:[{dims:t,dataType:I}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:o})}},s0=A=>{let g=0,e=0,I=0;A.inputs[0].dataType===6?(g=A.inputs[0].getInt32Array()[0],e=A.inputs[1].getInt32Array()[0],I=A.inputs[2].getInt32Array()[0]):A.inputs[0].dataType===1&&(g=A.inputs[0].getFloat32Array()[0],e=A.inputs[1].getFloat32Array()[0],I=A.inputs[2].getFloat32Array()[0]),rg.webgpu.validateInputContent&&sh(g,e,I),A.compute(Bh(g,e,I,A.inputs[0].dataType),{inputs:[]})}}),rh,pB,yB,ah,B0,r0,af=VA(()=>{Fe(),Le(),fg(),Je(),rh=(A,g,e,I)=>{if(A!=="none"&&I!=="i32"&&I!=="u32"&&I!=="f32")throw new Error(`Input ${I} is not supported with reduction ${A}.`);let i=`{
                var oldValue = 0;
                loop {
                  let newValueF32 =`,t=`;
                  let newValue = bitcast<i32>(newValueF32);
                  let res = atomicCompareExchangeWeak(&${g}, oldValue, newValue);
                  if res.exchanged {
                    break;
                  }
                  oldValue = res.old_value;
                }
              }`;switch(A){case"none":return`${g}=${e};`;case"add":return I==="i32"||I==="u32"?`atomicAdd(&${g}, bitcast<${I}>(${e}));`:`
              ${i}bitcast<${I}>(oldValue) + (${e})${t}`;case"max":return I==="i32"||I==="u32"?`atomicMax(&${g}, bitcast<${I}>(${e}));`:`
                ${i}max(bitcast<f32>(oldValue), (${e}))${t}`;case"min":return I==="i32"||I==="u32"?`atomicMin(&${g}, bitcast<${I}>(${e}));`:`${i}min(bitcast<${I}>(oldValue), (${e}))${t}`;case"mul":return`${i}(bitcast<${I}>(oldValue) * (${e}))${t}`;default:throw new Error(`Reduction ${A} is not supported.`)}},pB=(A,g)=>`${A===1?`
    let element_count_dim = uniforms.output_strides;
    let dim_value = uniforms.output_shape;`:`
    let element_count_dim = uniforms.output_strides[${g?"i - indices_start":"i"}];
    let dim_value = uniforms.output_shape[${g?"i - indices_start":"i"} + uniforms.last_index_dimension];`}
    
    if (index >= 0) {
      if (index >= i32(dim_value)) {
        index = i32(dim_value - 1);
      }
    } else {
      if (index < -i32(dim_value)) {
        index = 0;
      } else {
        index += i32(dim_value);
      }
    }
    data_offset += u32((u32(index) * element_count_dim));`,yB=(A,g,e)=>`for (var i = 0u; i < uniforms.num_updates_elements; i++) {
        let value = updates[uniforms.num_updates_elements * ${e?"global_idx":"idx"} + i];
        ${rh(A.reduction,"output[data_offset + i]","value",g)}
      }`,ah=(A,g)=>{let e=A[0].dims,I=A[1].dims,i=e,t=1,C=Math.ceil(FA.size(I)/t),o=I[I.length-1],s=FA.sizeFromDimension(e,o),B=FA.sizeFromDimension(I,0)/o,Q=[{type:12,data:C},{type:12,data:o},{type:12,data:s},...he(A[1].dims,A[2].dims,i)],a=r=>{let d=UA("indices",A[1].dataType,A[1].dims.length),c=UA("updates",A[2].dataType,A[2].dims.length,t),f=g.reduction!=="none"&&g.reduction!==""?bu("output",A[0].dataType,i.length):le("output",A[0].dataType,i.length,t);return`
      ${r.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(d,c,f)}
      ${r.mainStart()}
        ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
  var hasDuplicates = false;
  if (${g.reduction==="none"}) {
    for (var i = 0; i < ${B}; i = i + 1) {
      for (var j = i + 1; j < ${B}; j = j + 1) {
        var index_i = i32(indices[i].x);
        var index_j = i32(indices[j].x);
        if (index_i == index_j) {
          hasDuplicates = true;
          break;
        }
      }
      if (hasDuplicates) {
        break;
      }
    }
  }

  if (${g.reduction==="none"} && hasDuplicates) {
    if (global_idx != 0u) {
      return;
    }
    // Process each index-update pair individually when duplicates exist
    for (var idx = 0u; idx < ${B}u; idx++) {
      var data_offset = 0u;
      for (var i = 0u; i < uniforms.last_index_dimension; i++) {
        var index = i32(indices[idx * uniforms.last_index_dimension + i].x);
        ${pB(e.length,!1)}
      }
      ${yB(g,f.type.value,!1)}
    }
    return;
  }

  var data_offset = 0u;
  var indices_start = uniforms.last_index_dimension * global_idx;
  var indices_end = indices_start + uniforms.last_index_dimension;
  for (var i = indices_start; i < indices_end; i++) {
    var index = i32(indices[i].x);
    ${pB(e.length,!0)}
  }
  ${yB(g,f.type.value,!0)}
  }`};return{name:"ScatterND",shaderCache:{hint:`${g.cacheKey}_${g.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:Q}),getShaderSource:a}},B0=A=>$e({reduction:A.reduction}),r0=(A,g)=>{A.compute(ah(A.inputs,g),{inputs:[A.inputs[1],A.inputs[2]],outputs:[]})}}),Qh,Eh,nh,fB,lh,ch,dh,hh,uh,Dh,wh,ph,mB,yh,fh,mh,Mh,Fh,a0,Q0,Qf=VA(()=>{Fe(),Le(),fg(),Je(),Qh=(A,g)=>{if(A.every(e=>e>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),A.length>0){if(g.mode==="linear"){if(!(A.length===2||A.length===3||A.length===4&&A[0]===1&&A[1]===1||A.length===4&&A[0]===1&&A[3]===1||A.length===5&&A[0]===1&&A[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and
            one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(g.mode==="cubic"&&!(A.length===2||A.length===4&&A[0]===1&&A[1]===1||A.length===4&&A[0]===1&&A[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},Eh=(A,g,e)=>{g.every(i=>i>=0&&i<e||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let I=new Array(e).fill(1);return g.forEach((i,t)=>I[i]=A[t]),I},nh=(A,g,e,I,i,t)=>{let[C,o,s]=e>10?[1,2,3]:[-1,A.length>1?1:-1,-1],B=A[0].dims.length;if(C>0&&A.length>C&&A[C].dims.length>0)A[C].getFloat32Array().forEach(Q=>t.push(Q));else if(g.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(o>0&&A.length>o&&A[o].dims.length===1&&A[o].dims[0]>0){if(A[o].getFloat32Array().forEach(Q=>I.push(Q)),I.length!==0&&I.length!==B&&e>=18&&I.length!==g.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");Qh(I,g),g.axes.length>0&&Eh(I,g.axes,B).forEach((Q,a)=>I[a]=Q)}if(s>0&&A.length>s&&A[s].dims.length===1&&A[s].dims[0]>0&&(A[s].getBigInt64Array().forEach(Q=>i.push(Number(Q))),i.length!==0&&i.length!==B&&e>=18&&i.length!==g.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(g.axes.length>0){if(I.length!==0&&I.length!==g.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==0&&i.length!==g.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof I<"u"&&typeof i<"u"&&I.length>0&&i.length>B)throw new Error("Resize requires only of scales or sizes to be specified")},fB=(A,g,e,I)=>`
  // The whole part and the fractional part are calculated separately due to inaccuracy of floating
  // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an
  // offset-by-one error later in floor().
  let big = (${A}) * (${g});
  let whole = ${I}(big / (${e}));
  let fract = ${I}(big % (${e})) / ${I}(${e});
  return whole + fract;
`,lh=(A,g)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${g} { `+(()=>{switch(A){case"asymmetric":return`
          if (xScale < 1.0 || floor(xScale) != xScale) {
            return ${g}(xResized) / ${g}(xScale);
          } else {
            ${fB("xResized","lengthOriginal","lengthResized",g)}
          }
        `;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${g}(xResized) + 0.5) / ${g}(xScale) - 0.5;
                  } else {
                    return 0.0;
                  }`;case"tf_half_pixel_for_nn":return`return (${g}(xResized) + 0.5) / ${g}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
                    return 0.0;
                  } else {
                    ${fB("xResized","lengthOriginal - 1","lengthResized - 1",g)}
                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
                    return ${g}(roiStart) * ${g}(lengthOriginal - 1) +
                        (${g}(xResized) * ${g}(roiEnd - roiStart) * ${g}(lengthOriginal - 1)) /
                        ${g}(lengthResized - 1);
                  } else {
                    return 0.5 * ${g}(roiStart + roiEnd) * ${g}(lengthOriginal - 1);
                  }`;case"half_pixel_symmetric":return`const outputWidth = ${g}xScale * ${g}(lengthResized);
                  const adjustment = ${g}(lengthResized) / outputWidth;
                  const center = ${g}(lengthOriginal) / 2;
                  const offset = center * (1 - adjustment);
                  return offset + ((${g}(xResized) + 0.5) / ${g}(xScale)) - 0.5;`;case"half_pixel":return`return ((${g}(xResized) + 0.5) / ${g}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${A} is not supported`)}})()+"}",ch=(A,g,e)=>`fn getNearestPixelFromOriginal(xOriginal: ${e}, isDownSample: bool) -> ${e} {`+(()=>{switch(A){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) {             return ceil(xOriginal);           } else {             return round(xOriginal);           }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) {                     return floor(xOriginal);                   } else {                     return round(xOriginal);                   }";case"simple":default:if(g<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${A} is not supported`)}})()+"}",dh=(A,g,e)=>{let I=new Array(e).fill(0).concat(new Array(e).fill(1)),i=A.length===0?I:A.slice();return g.length>0?(g.forEach((t,C)=>{I[t]=i[C],I[C+e]=i[g.length+C]}),I):i},hh=(A,g,e,I)=>{let i=[];if(e.length>0)if(I.length>0){if(A.forEach(t=>i.push(t)),Math.max(...I)>A.length)throw new Error("axes is out of bound");I.forEach((t,C)=>i[t]=e[C])}else e.forEach(t=>i.push(t));else{if(g.length===0)throw new Error("Resize requires either scales or sizes.");i=A.map((t,C)=>Math.round(t*g[C]))}return i},uh=(A,g,e)=>{let I=(()=>{switch(e.keepAspectRatioPolicy){case"not_larger":return e.axes.length>0?Math.min(...e.axes.map(t=>g[t]),Number.MAX_VALUE):Math.min(...g,Number.MAX_VALUE);case"not_smaller":return e.axes.length>0?Math.max(...e.axes.map(t=>g[t]),Number.MIN_VALUE):Math.max(...g,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${e.keepAspectRatioPolicy} is not supported`)}})();g.fill(1,0,g.length);let i=A.slice();return e.axes.length>0?(e.axes.forEach(t=>g[t]=I),e.axes.forEach(t=>i[t]=Math.round(A[t]*g[t]))):(g.fill(I,0,g.length),i.forEach((t,C)=>i[C]=Math.round(t*g[C]))),i},Dh=(A,g,e,I,i)=>`
    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${A.type.indices}) -> array<${A.type.value}, ${e.length}> {
      var original_indices: array<${A.type.value}, ${e.length}>;
      for (var i:u32 = 0; i < ${e.length}; i++) {
        var output_index = ${A.indicesGet("output_indices","i")};
        var scale = ${ce("uniforms.scales","i",I)};
        var roi_low = ${ce("uniforms.roi","i",i)};
        var roi_hi = ${ce("uniforms.roi",`i + ${g.length}`,i)};
        if (scale == 1.0) {
          original_indices[i] = ${A.type.value}(output_index);
        } else {
          var input_shape_i = ${ce("uniforms.input_shape","i",g.length)};
          var output_shape_i = ${ce("uniforms.output_shape","i",e.length)};
          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                           input_shape_i, roi_low, roi_hi);
        }
      }
      return original_indices;
    }`,wh=(A,g,e,I,i,t,C)=>`
    fn calculateInputIndicesFromOutputIndices(output_indices: ${g.type.indices}) -> ${A.type.indices} {
      var input_indices: ${A.type.indices};
      for (var i:u32 = 0; i < ${I.length}; i++) {
        var output_index = ${g.indicesGet("output_indices","i")};
        var input_index: u32;
        var scale = ${ce("uniforms.scales","i",i)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${ce("uniforms.roi","i",t)};
          var roi_hi = ${ce("uniforms.roi",`i + ${e.length}`,t)};
          var input_shape_i = ${ce("uniforms.input_shape","i",e.length)};
          var output_shape_i = ${ce("uniforms.output_shape","i",I.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${C} || (original_idx >= 0 && original_idx < ${g.type.value}(input_shape_i))) {
            if (original_idx < 0) {
              input_index = 0;
            } else if (original_idx > ${g.type.value}(input_shape_i - 1)) {
              input_index = input_shape_i - 1;
            } else {
              input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));
            }
          } else {
            input_index = u32(original_idx);
          }
        }
        ${A.indicesSet("input_indices","i","input_index")}
      }
      return input_indices;
    }`,ph=(A,g)=>`
    fn checkInputIndices(input_indices: ${A.type.indices}) -> bool {
      for (var i:u32 = 0; i < ${g.length}; i++) {
        var input_index = ${A.indicesGet("input_indices","i")};
        if (input_index < 0 || input_index >= ${ce("uniforms.input_shape","i",g.length)}) {
          return false;
        }
      }
      return true;
    }`,mB=(A,g,e,I)=>A.rank>I?`
    ${A.indicesSet("input_indices",g,"channel")};
    ${A.indicesSet("input_indices",e,"batch")};
`:"",yh=(A,g,e,I,i)=>{let[t,C,o,s]=e.length===2?[-1,0,1,-1]:[0,2,3,1],B=A.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${B} {
      var input_indices: ${A.type.indices};
      ${A.indicesSet("input_indices",C,`max(0, min(row, ${e[C]} - 1))`)};
      ${A.indicesSet("input_indices",o,`max(0, min(col, ${e[o]} - 1))`)};
      ${mB(A,s,t,2)}
      return ${A.getByIndices("input_indices")};
    }

    fn bilinearInterpolation(output_indices: ${g.type.indices}) -> ${B} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var row:${B} = originalIndices[${C}];
      var col:${B} = originalIndices[${o}];
      ${I?`if (row < 0 || row > (${e[C]} - 1) || col < 0 || col > (${e[o]} - 1)) {
        return ${i};
      }`:""};
      row = max(0, min(row, ${e[C]} - 1));
      col = max(0, min(col, ${e[o]} - 1));
      var row1: u32 = u32(row);
      var col1: u32 = u32(col);
      var row2: u32 = u32(row + 1);
      var col2: u32 = u32(col + 1);
      var channel: u32 = ${e.length>2?`u32(originalIndices[${s}])`:"0"};
      var batch: u32 =  ${e.length>2?`u32(originalIndices[${t}])`:"0"};
      var x11: ${B} = getInputValue(batch, channel, row1, col1);
      var x12: ${B} = getInputValue(batch, channel, row1, col2);
      var x21: ${B} = getInputValue(batch, channel, row2, col1);
      var x22: ${B} = getInputValue(batch, channel, row2, col2);
      var dx1: ${B} = abs(row - ${B}(row1));
      var dx2: ${B} = abs(${B}(row2) - row);
      var dy1: ${B} = abs(col - ${B}(col1));
      var dy2: ${B} = abs(${B}(col2) - col);
      if (row1 == row2) {
        dx1 = 0.5;
        dx2 = 0.5;
      }
      if (col1 == col2) {
        dy1 = 0.5;
        dy2 = 0.5;
      }
      return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);
    }`},fh=(A,g,e,I,i,t,C,o,s,B)=>{let Q=e.length===2,[a,r]=Q?[0,1]:[2,3],d=A.type.value,c=f=>{let k=f===a?"row":"col";return`
      fn ${k}CubicInterpolation(input_indices: ${A.type.indices}, output_indices: ${g.type.indices}) -> ${d} {
        var output_index = ${g.indicesGet("output_indices",f)};
        var originalIdx: ${d} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[f]},
        ${I[f]}, ${e[f]}, ${t[f]}, ${t[f]} + ${e.length});
        var fractOriginalIdx: ${d} = originalIdx - floor(originalIdx);
        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);

        if (${o} && (originalIdx < 0 || originalIdx > (${e[f]} - 1))) {
          return ${s};
        }
        var data: array<${d}, 4> = array<${d}, 4>(0.0, 0.0, 0.0, 0.0);
        for (var i: i32 = -1; i < 3; i++) {
          var ${k}: ${d} = originalIdx + ${d}(i);
          if (${k} < 0 || ${k} >= ${e[f]}) {
            ${B?`coefs[i + 1] = 0.0;
                        continue;`:o?`return ${s};`:`${k} = max(0, min(${k}, ${e[f]} - 1));`};
          }
        var input_indices_copy: ${A.type.indices} = input_indices;
          ${A.indicesSet("input_indices_copy",f,`u32(${k})`)};
          data[i + 1] = ${f===a?A.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
        }
        return cubicInterpolation1D(data, coefs);
      }`};return`
    ${c(a)};
    ${c(r)};
  fn getCubicInterpolationCoefs(s: ${d}) -> array<${d}, 4> {
    var absS = abs(s);
    var coeffs: array<${d}, 4> = array<${d}, 4>(0.0, 0.0, 0.0, 0.0);
    var oneMinusAbsS: ${d} = 1.0 - absS;
    var twoMinusAbsS: ${d} = 2.0 - absS;
    var onePlusAbsS: ${d} = 1.0 + absS;
    coeffs[0] = ((${C} * onePlusAbsS - 5 * ${C}) * onePlusAbsS + 8 * ${C}) * onePlusAbsS - 4 * ${C};
    coeffs[1] = ((${C} + 2) * absS - (${C} + 3)) * absS * absS + 1;
    coeffs[2] = ((${C} + 2) * oneMinusAbsS - (${C} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
    coeffs[3] = ((${C} * twoMinusAbsS - 5 * ${C}) * twoMinusAbsS + 8 * ${C}) * twoMinusAbsS - 4 * ${C};
    return coeffs;
  }

  fn cubicInterpolation1D(x: array<${d}, 4>, coefs: array<${d}, 4>) -> ${d} {
    var coefsSum: ${d} = coefs[0] + coefs[1] + coefs[2] + coefs[3];
    return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;
  }

  fn bicubicInterpolation(output_indices: ${g.type.indices}) -> ${d} {
    var input_indices: ${A.type.indices} = output_indices;
    return colCubicInterpolation(input_indices, output_indices);
  }
    `},mh=(A,g,e,I,i)=>{let[t,C,o,s,B]=e.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],Q=A.type.value;return`
    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${Q} {
      var input_indices: ${A.type.indices};
      ${A.indicesSet("input_indices",C,`max(0, min(depth, ${e[C]} - 1))`)};
      ${A.indicesSet("input_indices",o,`max(0, min(height, ${e[o]} - 1))`)};
      ${A.indicesSet("input_indices",s,`max(0, min(width, ${e[s]} - 1))`)};
      ${mB(A,B,t,3)}
      return ${A.getByIndices("input_indices")};
    }

    fn trilinearInterpolation(output_indices: ${g.type.indices}) -> ${Q} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var depth:${Q} = originalIndices[${C}];
      var height:${Q} = originalIndices[${o}];
      var width:${Q} = originalIndices[${s}];
      ${I?`if (depth < 0 || depth > (${e[C]} - 1) || height < 0 || height > (${e[o]} - 1) || width < 0 || (width > ${e[s]} - 1)) {
      return ${i};
        }`:""};

    depth = max(0, min(depth, ${e[C]} - 1));
      height = max(0, min(height, ${e[o]} - 1));
      width = max(0, min(width, ${e[s]} - 1));
      var depth1: u32 = u32(depth);
      var height1: u32 = u32(height);
      var width1: u32 = u32(width);
      var depth2: u32 = u32(depth + 1);
      var height2: u32 = u32(height + 1);
      var width2: u32 = u32(width + 1);
      var channel: u32 = ${e.length>3?`u32(originalIndices[${B}])`:"0"};
      var batch: u32 =  ${e.length>3?`u32(originalIndices[${t}])`:"0"};

      var x111: ${Q} = getInputValue(batch, channel, depth1, height1, width1);
      var x112: ${Q} = getInputValue(batch, channel, depth1, height1, width2);
      var x121: ${Q} = getInputValue(batch, channel, depth1, height2, width1);
      var x122: ${Q} = getInputValue(batch, channel, depth1, height2, width2);
      var x211: ${Q} = getInputValue(batch, channel, depth2, height1, width1);
      var x212: ${Q} = getInputValue(batch, channel, depth2, height1, width2);
      var x221: ${Q} = getInputValue(batch, channel, depth2, height2, width1);
      var x222: ${Q} = getInputValue(batch, channel, depth2, height2, width2);
      var dx1: ${Q} = abs(depth - ${Q}(depth1));
      var dx2: ${Q} = abs(${Q}(depth2) - depth);
      var dy1: ${Q} = abs(height - ${Q}(height1));
      var dy2: ${Q} = abs(${Q}(height2) - height);
      var dz1: ${Q} = abs(width - ${Q}(width1));
      var dz2: ${Q} = abs(${Q}(width2) - width);
      if (depth1 == depth2) {
        dx1 = 0.5;
        dx2 = 0.5;
      }
      if (height1 == height2) {
        dy1 = 0.5;
        dy2 = 0.5;
      }
      if (width1 == width2) {
        dz1 = 0.5;
        dz2 = 0.5;
      }
      return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +
              x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);
    }`},Mh=(A,g,e,I,i,t)=>{let C=A.dims,o=dh(t,g.axes,C.length),s=hh(C,I,i,g.axes),B=I.slice();I.length===0&&(B=C.map((D,G)=>D===0?1:s[G]/D),g.keepAspectRatioPolicy!=="stretch"&&(s=uh(C,B,g)));let Q=le("output",A.dataType,s.length),a=UA("input",A.dataType,C.length),r=FA.size(s),d=C.length===s.length&&C.every((D,G)=>D===s[G]),c=g.coordinateTransformMode==="tf_crop_and_resize",f=g.extrapolationValue,k=a.type.value,u=D=>`
      ${d?"":`
      ${lh(g.coordinateTransformMode,k)};
      ${(()=>{switch(g.mode){case"nearest":return`
              ${ph(a,C)};
              ${ch(g.nearestMode,e,k)};
              ${wh(a,Q,C,s,B.length,o.length,c)};
              `;case"linear":return`
              ${Dh(Q,C,s,B.length,o.length)};
              ${(()=>{if(C.length===2||C.length===4)return`${yh(a,Q,C,c,f)}`;if(C.length===3||C.length===5)return`${mh(a,Q,C,c,f)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(C.length===2||C.length===4)return`${fh(a,Q,C,s,B,o,g.cubicCoeffA,c,g.extrapolationValue,g.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
            `;default:throw Error("Invalid resize mode")}})()};
      `}
      ${D.registerUniform("output_size","u32").registerUniform("scales","f32",B.length).registerUniform("roi","f32",o.length).declareVariables(a,Q)}
      ${D.mainStart()}
        ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${d?"output[global_idx] = input[global_idx];":`
        let output_indices = ${Q.offsetToIndices("global_idx")};
        var input_indices: ${a.type.indices};
        ${(()=>{switch(g.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${a.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${g.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${C.length===2||C.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${g.mode}`)}})()};
`}
      }`;return{name:"Resize",shaderCache:{hint:`${g.cacheKey}|${e}|${B.length>0?g.mode==="cubic"?B:B.length:""}|${i.length>0?i:""}|${o.length>0?o:""}|${d}|${g.mode==="nearest"?C.length:C}`,inputDependencies:["rank"]},getShaderSource:u,getRunData:()=>({outputs:[{dims:s,dataType:A.dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:[{type:12,data:r},{type:1,data:B},{type:1,data:o},...he(C,s)]})}},Fh=A=>{let g=A.customDataBuffer;return new Uint32Array(g,g.byteOffset,1)[0]},a0=(A,g)=>{let e=[],I=[],i=[],t=Fh(A);if(g.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");nh(A.inputs,g,t,e,I,i),A.compute(Mh(A.inputs[0],g,t,e,I,i),{inputs:[0]})},Q0=A=>{let g=A.antialias,e=A.axes,I=A.coordinateTransformMode,i=A.cubicCoeffA,t=A.excludeOutside!==0,C=A.extrapolationValue,o=A.keepAspectRatioPolicy,s=A.mode,B=A.nearestMode===""?"simple":A.nearestMode;return $e({antialias:g,axes:e,coordinateTransformMode:I,cubicCoeffA:i,excludeOutside:t,extrapolationValue:C,keepAspectRatioPolicy:o,mode:s,nearestMode:B})}}),Sh,Nh,E0,Ef=VA(()=>{Fe(),Le(),Je(),Sh=A=>{if(!A||A.length<3)throw new Error("layerNorm requires at least 3 inputs.");let g=A[0],e=A[1],I=A[2];if(g.dataType!==e.dataType||g.dataType!==I.dataType)throw new Error("All inputs must have the same data type");if(g.dims.length!==3&&g.dims.length!==2)throw new Error("Input must be 2D or 3D");if(e.dims.length!==3&&e.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=g.dims[g.dims.length-1],t=g.dims[g.dims.length-2];if(e.dims[e.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(e.dims[e.dims.length-2]!==t)throw new Error("Skip must have the same sequence length as input");if(I.dims.length!==1)throw new Error("Gamma must be 1D");if(I.dims[I.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(A.length>3){let C=A[3];if(C.dims.length!==1)throw new Error("Beta must be 1D");if(C.dims[C.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(A.length>4){let C=A[4];if(C.dims.length!==1)throw new Error("Bias must be 1D");if(C.dims[C.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Nh=(A,g,e,I)=>{let i=g.simplified,t=A[0].dims,C=FA.size(t),o=t,s=C,B=t.slice(-1)[0],Q=I?t.slice(0,-1).concat(1):[],a=!i&&A.length>3,r=A.length>4,d=I&&e>1,c=I&&e>2,f=e>3,k=64,u=Dg(B),D=[{type:12,data:s},{type:12,data:u},{type:12,data:B},{type:1,data:g.epsilon}],G=y=>{let M=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],m=[UA("x",A[0].dataType,A[0].dims,u),UA("skip",A[1].dataType,A[1].dims,u),UA("gamma",A[2].dataType,A[2].dims,u)];a&&m.push(UA("beta",A[3].dataType,A[3].dims,u)),r&&m.push(UA("bias",A[4].dataType,A[4].dims,u)),m.push(le("output",A[0].dataType,o,u)),d&&m.push(le("mean_output",1,Q)),c&&m.push(le("inv_std_output",1,Q)),f&&m.push(le("input_skip_bias_sum",A[0].dataType,o,u));let _=Hg(A[0].dataType),x=Hg(1,u);return`

      ${y.registerUniforms(M).declareVariables(...m)}
      var<workgroup> sum_shared : array<${x}, ${k}>;
      var<workgroup> sum_squared_shared : array<${x}, ${k}>;

      ${y.mainStart([k,1,1])}
        let ix = local_id.x;
        let iy = global_id.x / ${k};

        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
        var stride = hidden_size_vectorized / ${k};
        let offset = ix * stride + iy * hidden_size_vectorized;
        let offset1d = stride * ix;
        if (ix == ${k-1}) {
          stride = hidden_size_vectorized - stride * ix;
        }
        for (var i: u32 = 0; i < stride; i++) {
          let skip_value = skip[offset + i];
          let bias_value = ${r?"bias[offset1d + i]":_+"(0.0)"};
          let input_value = x[offset + i];
          let value = input_value + skip_value + bias_value;
          ${f?"input_skip_bias_sum[offset + i] = value;":""}
          output[offset + i] = value;
          let f32_value = ${et(_,u,"value")};
          sum_shared[ix] += f32_value;
          sum_squared_shared[ix] += f32_value * f32_value;
        }
        workgroupBarrier();

        var reduce_size : u32 = ${k};
        for (var curr_size = reduce_size >> 1;  curr_size > 0; curr_size = reduce_size >> 1) {
          reduce_size = curr_size + (reduce_size & 1);
          if (ix < curr_size) {
            sum_shared[ix] += sum_shared[ix + reduce_size];
            sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];
          }
          workgroupBarrier();
        }

        let sum = sum_shared[0];
        let square_sum = sum_squared_shared[0];
        let mean = ${Ii("sum",u)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${Ii("square_sum",u)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);
        ${d?"mean_output[global_idx] = mean;":""}
        ${c?"inv_std_output[global_idx] = inv_std_dev;":""}

        for (var i: u32 = 0; i < stride; i++) {
          output[offset + i] = (output[offset + i] ${i?"":`- ${_}(mean)`}) *
            ${_}(inv_std_dev) * gamma[offset1d + i]
            ${a?"+ beta[offset1d + i]":""};
        }
      }`},h=[{dims:o,dataType:A[0].dataType}];return e>1&&h.push({dims:Q,dataType:1}),e>2&&h.push({dims:Q,dataType:1}),e>3&&h.push({dims:t,dataType:A[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${u};${d};${c};${f}`,inputDependencies:A.map((y,M)=>"type")},getShaderSource:G,getRunData:()=>({outputs:h,dispatchGroup:{x:Math.ceil(s/B)},programUniforms:D})}},E0=(A,g)=>{Sh(A.inputs);let e=[0];A.outputCount>1&&e.push(-3),A.outputCount>2&&e.push(-3),A.outputCount>3&&e.push(3),A.compute(Nh(A.inputs,g,A.outputCount,!1),{outputs:e})}}),Rh,bt,_h,MB,Gh,kh,n0,l0,nf=VA(()=>{Fe(),Le(),fg(),Je(),Rh=(A,g)=>{if(!A||A.length<1)throw new Error("too few inputs");if(g.axes.length!==0){if(g.axes.length!==g.starts.length||g.axes.length!==g.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(g.starts.length!==g.ends.length)throw new Error("starts and ends must have the same length");A.slice(1).forEach((e,I)=>{if(A[I+1].dataType!==6&&A[I+1].dataType!==7)throw new Error(`Input ${I} must be an array of int32 or int64`)})},bt=(A,g)=>{let e=[];if(A.length>g)if(A[g].dataType===7)A[g].getBigInt64Array().forEach(I=>e.push(Number(I)));else if(A[g].dataType===6)A[g].getInt32Array().forEach(I=>e.push(Number(I)));else throw new Error(`Input ${g} must be an array of int32 or int64`);return e},_h=(A,g)=>{if(A.length>1){let e=bt(A,1),I=bt(A,2),i=bt(A,3);return i.length===0&&(i=[...Array(A[0].dims.length).keys()]),$e({starts:e,ends:I,axes:i})}else return g},MB=(A,g,e,I,i)=>{let t=A;return A<0&&(t+=e[I[g]]),i[g]<0?Math.max(0,Math.min(t,e[I[g]]-1)):Math.max(0,Math.min(t,e[I[g]]))},Gh=(A,g,e)=>`fn calculateInputIndices(output_indices: ${g.type.indices}) -> ${A.type.indices} {
          var input_indices: ${A.type.indices};
          var carry = 0u;
          for (var i = ${e.length}; i >= 0; i--) {
            let input_shape_i = ${ce("uniforms.input_shape","i",e.length)};
            let steps_i = ${ce("uniforms.steps","i",e.length)};
            let signs_i = ${ce("uniforms.signs","i",e.length)};
            let starts_i = ${ce("uniforms.starts","i",e.length)};
            var output_index = ${g.indicesGet("output_indices","i")};
            var input_index = output_index * steps_i + starts_i + carry;
            carry = input_index / input_shape_i;
            input_index = input_index % input_shape_i;
            if (signs_i < 0) {
              input_index = input_shape_i - input_index - 1u + starts_i;
            }
            ${A.indicesSet("input_indices","i","input_index")};
          }
          return input_indices;
      }`,kh=(A,g)=>{let e=A[0].dims,I=FA.size(e),i=g.axes.length>0?FA.normalizeAxes(g.axes,e.length):[...Array(e.length).keys()],t=bt(A,4);t.forEach(u=>u!==0||(()=>{throw new Error("step cannot be 0")})),t.length===0&&(t=Array(i.length).fill(1));let C=g.starts.map((u,D)=>MB(u,D,e,i,t)),o=g.ends.map((u,D)=>MB(u,D,e,i,t));if(i.length!==C.length||i.length!==o.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==e.length)for(let u=0;u<e.length;++u)i.includes(u)||(C.splice(u,0,0),o.splice(u,0,e[u]),t.splice(u,0,1));let s=t.map(u=>Math.sign(u));t.forEach((u,D,G)=>{if(u<0){let h=(o[D]-C[D])/u,y=C[D],M=y+h*t[D];C[D]=M,o[D]=y,G[D]=-u}});let B=e.slice(0);i.forEach((u,D)=>{B[u]=Math.ceil((o[u]-C[u])/t[u])});let Q={dims:B,dataType:A[0].dataType},a=le("output",A[0].dataType,B.length),r=UA("input",A[0].dataType,A[0].dims.length),d=FA.size(B),c=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:C.length},{name:"signs",type:"i32",length:s.length},{name:"steps",type:"u32",length:t.length}],f=[{type:12,data:d},{type:12,data:C},{type:6,data:s},{type:12,data:t},...he(A[0].dims,B)],k=u=>`
      ${u.registerUniforms(c).declareVariables(r,a)}
        ${Gh(r,a,e)}
        ${u.mainStart()}
          ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${a.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${a.setByOffset("global_idx",r.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${s.length}_${C.length}_${t.length}`,inputDependencies:["rank"]},getShaderSource:k,getRunData:()=>({outputs:[Q],dispatchGroup:{x:Math.ceil(I/64)},programUniforms:f})}},n0=(A,g)=>{Rh(A.inputs,g);let e=_h(A.inputs,g);A.compute(kh(A.inputs,e),{inputs:[0]})},l0=A=>{let g=A.starts,e=A.ends,I=A.axes;return $e({starts:g,ends:e,axes:I})}}),Lh,Kh,c0,d0,lf=VA(()=>{Fe(),Le(),fg(),ii(),Je(),Lh=A=>{if(!A||A.length!==1)throw new Error("Softmax op requires 1 input.")},Kh=(A,g)=>{let e=A.inputs[0],I=e.dims,i=FA.size(I),t=I.length,C=FA.normalizeAxis(g.axis,t),o=C<I.length-1,s,B=[];o?(B=Array.from({length:t},(m,_)=>_),B[C]=t-1,B[t-1]=C,s=A.compute(QI(e,B),{inputs:[e],outputs:[-1]})[0]):s=e;let Q=s.dims,a=Q[t-1],r=i/a,d=Dg(a),c=a/d,f=64;r===1&&(f=256);let k=(m,_)=>_===4?`max(max(${m}.x, ${m}.y), max(${m}.z, ${m}.w))`:_===2?`max(${m}.x, ${m}.y)`:_===3?`max(max(${m}.x, ${m}.y), ${m}.z)`:m,u=UA("x",s.dataType,s.dims,d),D=le("result",s.dataType,s.dims,d),G=u.type.value,h=Hg(s.dataType)==="f32"?`var threadMax = ${G}(-3.402823e+38f);`:`var threadMax = ${G}(-65504.0h);`,y=m=>`
      var<workgroup> rowMaxShared : ${G};
      var<workgroup> rowSumShared : ${G};
      var<workgroup> threadShared : array<${G}, ${f}>;

      fn getValue(row: i32, col: i32, row_stride: i32) -> ${G} {
        let index = row * row_stride + col;
        return x[index];
      }

      fn setValue(row: i32, col: i32, row_stride: i32, value: ${G}) {
        let index = row * row_stride + col;
        result[index] = value;
      }
      ${m.registerUniform("packedCols","i32").declareVariables(u,D)}
      ${m.mainStart(f)}
        let gindex = i32(global_idx);
        let lindex = i32(local_idx);
        const wg = ${f};
        let row = gindex / wg;
        let cols = uniforms.packedCols;
        let row_stride : i32 = uniforms.packedCols;

        // find the rows max
        ${h}
        for (var col = lindex; col < cols; col += wg) {
          let value = getValue(row, col, row_stride);
          threadMax = max(threadMax, value);
        }
        if (lindex < cols) {
          threadShared[lindex] = threadMax;
        }
        workgroupBarrier();

        var reduceSize = min(cols, wg);
        for (var currSize = reduceSize >> 1;  currSize > 0; currSize = reduceSize >> 1) {
          reduceSize = currSize + (reduceSize & 1);
          if (lindex < currSize) {
            threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]);
          }
          workgroupBarrier();
        }
        if (lindex == 0) {
          rowMaxShared = ${G}(${k("threadShared[0]",d)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${G}(0.0);
        for (var col = lindex; col < cols; col += wg) {
          let subExp = exp(getValue(row, col, row_stride) - rowMaxShared);
          threadSum += subExp;
        }
        threadShared[lindex] = threadSum;
        workgroupBarrier();

        for (var currSize = wg >> 1;  currSize > 0; currSize = currSize >> 1) {
          if (lindex < currSize) {
            threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize];
          }
          workgroupBarrier();
        }
        if (lindex == 0) {
          rowSumShared = ${G}(${Ii("threadShared[0]",d)});
        }
        workgroupBarrier();

        // calculate final value for each element in the row
        for (var col = lindex; col < cols; col += wg) {
          let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;
          setValue(row, col, row_stride, value);
        }
      }`,M=A.compute({name:"Softmax",shaderCache:{hint:`${d};${f}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:Q,dataType:s.dataType}],dispatchGroup:{x:r},programUniforms:[{type:6,data:c}]}),getShaderSource:y},{inputs:[s],outputs:[o?-1:0]})[0];o&&A.compute(QI(M,B),{inputs:[M]})},c0=(A,g)=>{Lh(A.inputs),Kh(A,g)},d0=A=>$e({axis:A.axis})}),FB,Uh,Jh,bh,h0,cf=VA(()=>{Fe(),Le(),Je(),FB=A=>Array.from(A.getBigInt64Array(),Number),Uh=A=>{if(!A||A.length!==2)throw new Error("Tile requires 2 inputs.");if(A[0].dataType!==1&&A[0].dataType!==10&&A[0].dataType!==6&&A[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(A[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(A[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(FB(A[1]).length!==A[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},Jh=(A,g)=>{let e=[];for(let I=0;I<A.length;++I)e.push(A[I]*g[I]);return e},bh=(A,g)=>{let e=A[0].dims,I=g??FB(A[1]),i=Jh(e,I),t=FA.size(i),C=A[0].dataType,o=UA("input",C,e.length),s=le("output",C,i.length),B=Q=>`
      const inputShape = ${o.indices(...e)};
      ${Q.registerUniform("output_size","u32").declareVariables(o,s)}
      ${Q.mainStart()}
      ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${s.offsetToIndices("global_idx")};
      var input_indices: ${o.type.indices};
      for (var i = 0; i < ${e.length}; i++) {
        let input_dim_i = ${o.indicesGet("uniforms.input_shape","i")};
        let input_dim_value = ${s.indicesGet("output_indices","i")}  % input_dim_i;

        ${o.indicesSet("input_indices","i","input_dim_value")}
      }
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c=this.programManager.normalizeDispatchGroupSize(s),f=c[1]===1&&c[2]===1,k=Hh(A,g,f),u=this.programManager.getArtifact(k);if(u||(u=this.programManager.build(A,c),this.programManager.setArtifact(k,u),Oe("info",()=>`[artifact] key: ${k}, programName: ${A.name}`)),B&&u.uniformVariablesInfo){if(B.length!==u.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${u.uniformVariablesInfo.length}, got ${B.length} in program "${u.programInfo.name}".`);for(let D=0;D<B.length;D++){let G=B[D],h=G.type,y=typeof G.data=="number"?1:G.data.length,[M,m]=u.uniformVariablesInfo[D];if(h!==M||y!==m)throw new Error(`Uniform variable ${D} mismatch: expect type ${M} with size ${m}, got type ${h} with size ${y} in program "${u.programInfo.name}".`)}}if(Oe("info",()=>`[ProgramManager] run "${A.name}" (key=${k}) with ${c[0]}x${c[1]}x${c[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let D={kernelId:this.currentKernelId,programName:u.programInfo.name,inputTensorViews:g,outputTensorViews:a};this.pendingKernels.push(D),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(D)}return this.programManager.run(u,C,r,c,d),wI(A.name),a}upload(A,g){this.gpuDataManager.upload(A,g)}memcpy(A,g){this.gpuDataManager.memcpy(A,g)}async download(A,g){await this.gpuDataManager.download(A,g)}alloc(A){return this.gpuDataManager.create(A).id}free(A){return this.gpuDataManager.release(A)}createKernel(A,g,e,I){let i=D0.get(A);if(!i)throw new Error(`kernel not implemented: ${A}`);let t={kernelType:A,kernelName:I,kernelEntry:i[0],attributes:[i[1],e]};this.kernels.set(g,t)}releaseKernel(A){let g=this.kernelPersistentData.get(A);if(g){for(let e of g)this.gpuDataManager.release(e.id);this.kernelPersistentData.delete(A)}this.kernelCustomData.delete(A),this.kernels.delete(A)}computeKernel(A,g,e){let I=this.kernels.get(A);if(!I)throw new Error(`kernel not created: ${A}`);let i=I.kernelType,t=I.kernelName,C=I.kernelEntry,o=I.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${i}] ${t}" is not allowed to be called recursively`);this.currentKernelId=A,o[0]&&(o[1]=o[0](o[1]),o[0]=void 0),Oe("info",()=>`[WebGPU] Start to run kernel "[${i}] ${t}"...`);let s=this.env.debug;this.temporaryData=[];try{return s&&this.device.pushErrorScope("validation"),C(g,o[1]),0}catch(B){return e.push(Promise.resolve(`[WebGPU] Kernel "[${i}] ${t}" failed. ${B}`)),1}finally{s&&e.push(this.device.popErrorScope().then(B=>B?`GPU validation error for kernel "[${i}] ${t}": ${B.message}`:null));for(let B of this.temporaryData)this.gpuDataManager.release(B.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(A,g,e,I){let i=this.sessionExternalDataMapping.get(A);i||(i=new Map,this.sessionExternalDataMapping.set(A,i));let t=i.get(g),C=this.gpuDataManager.registerExternalBuffer(e,I,t);return i.set(g,[C,e]),C}unregisterBuffers(A){let g=this.sessionExternalDataMapping.get(A);g&&(g.forEach(e=>this.gpuDataManager.unregisterExternalBuffer(e[0])),this.sessionExternalDataMapping.delete(A))}getBuffer(A){let g=this.gpuDataManager.get(A);if(!g)throw new Error(`no GPU data for buffer: ${A}`);return g.buffer}createDownloader(A,g,e){return async()=>{let I=await bB(this,A,g);return Br(I.buffer,e)}}writeTimestamp(A){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,A)}setQueryType(){this.queryType="none",(this.env.webgpu.profiling?.mode==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){Oe("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){Oe("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){Oe("info","replay"),this.sessionStatus="replaying";let A=this.capturedCommandList.get(this.currentSessionId),g=this.capturedPendingKernels.get(this.currentSessionId),e=A.length;this.pendingKernels=[];for(let I=0;I<e;I++){let i=this.getComputePassEncoder(),t=A[I];this.writeTimestamp(this.pendingDispatchNumber*2),i.setPipeline(t.computePipeline),i.setBindGroup(0,t.bindGroup),i.dispatchWorkgroups(...t.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(g[I]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(A){this.unregisterBuffers(A),this.capturedCommandList.has(A)&&this.capturedCommandList.delete(A),this.capturedPendingKernels.has(A)&&this.capturedPendingKernels.delete(A),this.gpuDataManager.onReleaseSession(A)}onRunStart(A){this.currentSessionId=A,this.setQueryType()}}}),f0={};it(f0,{init:()=>m0});var Xo,vh,m0,wf=VA(()=>{Fe(),OI(),Le(),Sy(),Xo=class 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* @license
* Copyright 2021 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*//**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 *//**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
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No instance will be fused."),x=new Set);const X=y.class_queries_logits??y.logits,T=(y.masks_queries_logits??y.pred_masks).sigmoid();let[CA,eA,tA]=X.dims;if(tA-=1,b!==null&&b.length!==CA)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let BA=[];for(let sA=0;sA<CA;++sA){let cA=b!==null?b[sA]:null,dA=X[sA],P=T[sA],[U,z,v]=c(dA,P,M,tA);if(v.length===0){let[_A,PA]=cA??P.dims.slice(-2),ie=new i.Tensor("int32",new Int32Array(_A*PA).fill(-1),[_A,PA]);BA.push({segmentation:ie,segments_info:[]});continue}let[nA,YA]=k(U,z,v,m,_,x,cA);BA.push({segmentation:nA,segments_info:YA})}return BA}function G(y,M=.5,m=null){throw new Error("`post_process_instance_segmentation` is not yet implemented.")}class h extends I.Callable{constructor(M){super(),this.image_mean=M.image_mean??M.mean,this.image_std=M.image_std??M.std,this.resample=M.resample??2,this.do_rescale=M.do_rescale??!0,this.rescale_factor=M.rescale_factor??1/255,this.do_normalize=M.do_normalize,this.do_thumbnail=M.do_thumbnail,this.size=M.size??M.image_size,this.do_resize=M.do_resize??this.size!==void 0,this.size_divisibility=M.size_divisibility??M.size_divisor,this.do_center_crop=M.do_center_crop,this.crop_size=M.crop_size,this.do_convert_rgb=M.do_convert_rgb??!0,this.do_crop_margin=M.do_crop_margin,this.pad_size=M.pad_size,this.do_pad=M.do_pad,this.min_pixels=M.min_pixels,this.max_pixels=M.max_pixels,this.do_pad&&!this.pad_size&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=M.do_flip_channel_order??!1,this.config=M}async thumbnail(M,m,_=2){const x=M.height,b=M.width,X=m.height,Z=m.width;let T=Math.min(x,X),CA=Math.min(b,Z);return T===x&&CA===b?M:(x>b?CA=Math.floor(b*T/x):b>x&&(T=Math.floor(x*CA/b)),await M.resize(CA,T,{resample:_}))}async crop_margin(M,m=200){const _=M.clone().grayscale(),x=(0,t.min)(_.data)[0],X=(0,t.max)(_.data)[0]-x;if(X===0)return M;const Z=m/255;let T=_.width,CA=_.height,eA=0,tA=0;const BA=_.data;for(let sA=0;sA<_.height;++sA){const cA=sA*_.width;for(let dA=0;dA<_.width;++dA)(BA[cA+dA]-x)/X<Z&&(T=Math.min(T,dA),CA=Math.min(CA,sA),eA=Math.max(eA,dA),tA=Math.max(tA,sA))}return M=await M.crop([T,CA,eA,tA]),M}pad_image(M,m,_,{mode:x="constant",center:b=!1,constant_values:X=0}={}){const[Z,T,CA]=m;let eA,tA;if(typeof _=="number"?(eA=_,tA=_):_==="square"?eA=tA=Math.max(Z,T):(eA=_.width,tA=_.height),eA!==T||tA!==Z){const BA=new Float32Array(eA*tA*CA);if(Array.isArray(X))for(let dA=0;dA<BA.length;++dA)BA[dA]=X[dA%CA];else X!==0&&BA.fill(X);const[sA,cA]=b?[Math.floor((eA-T)/2),Math.floor((tA-Z)/2)]:[0,0];for(let dA=0;dA<Z;++dA){const P=(dA+cA)*eA,U=dA*T;for(let z=0;z<T;++z){const v=(P+z+sA)*CA,nA=(U+z)*CA;for(let YA=0;YA<CA;++YA)BA[v+YA]=M[nA+YA]}}if(x==="symmetric"){if(b)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const dA=Z-1,P=T-1;for(let U=0;U<tA;++U){const z=U*eA,v=(0,C.calculateReflectOffset)(U,dA)*T;for(let nA=0;nA<eA;++nA){if(U<Z&&nA<T)continue;const YA=(z+nA)*CA,_A=(v+(0,C.calculateReflectOffset)(nA,P))*CA;for(let PA=0;PA<CA;++PA)BA[YA+PA]=M[_A+PA]}}}M=BA,m=[tA,eA,CA]}return[M,m]}rescale(M){for(let m=0;m<M.length;++m)M[m]=this.rescale_factor*M[m]}get_resize_output_image_size(M,m){const[_,x]=M.size;let b,X;if(this.do_thumbnail){const{height:Z,width:T}=m;b=Math.min(Z,T)}else Number.isInteger(m)?(b=m,X=this.config.max_size??b):m!==void 0&&(b=m.shortest_edge,X=m.longest_edge);if(b!==void 0||X!==void 0){const Z=b===void 0?1:Math.max(b/_,b/x),T=_*Z,CA=x*Z,eA=X===void 0?1:Math.min(X/T,X/CA);let tA=Math.floor(Number((T*eA).toFixed(2))),BA=Math.floor(Number((CA*eA).toFixed(2)));return this.size_divisibility!==void 0&&([tA,BA]=Q([tA,BA],this.size_divisibility)),[tA,BA]}else if(m!==void 0&&m.width!==void 0&&m.height!==void 0){let Z=m.width,T=m.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let CA=T/x,eA=Z/_;Math.abs(1-eA)<Math.abs(1-CA)?CA=eA:eA=CA,T=B(CA*x,this.config.ensure_multiple_of),Z=B(eA*_,this.config.ensure_multiple_of)}return[Z,T]}else{if(this.size_divisibility!==void 0)return Q([_,x],this.size_divisibility);if(this.min_pixels!==void 0&&this.max_pixels!==void 0){const Z=this.config.patch_size*this.config.merge_size;return u(x,_,Z,this.min_pixels,this.max_pixels)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(m)}`)}}async resize(M){const[m,_]=this.get_resize_output_image_size(M,this.size);return await M.resize(m,_,{resample:this.resample})}async preprocess(M,{do_normalize:m=null,do_pad:_=null,do_convert_rgb:x=null,do_convert_grayscale:b=null,do_flip_channel_order:X=null}={}){this.do_crop_margin&&(M=await this.crop_margin(M));const[Z,T]=M.size;if(x??this.do_convert_rgb?M=M.rgb():b&&(M=M.grayscale()),this.do_resize&&(M=await this.resize(M)),this.do_thumbnail&&(M=await this.thumbnail(M,this.size,this.resample)),this.do_center_crop){let sA,cA;Number.isInteger(this.crop_size)?(sA=this.crop_size,cA=this.crop_size):(sA=this.crop_size.width,cA=this.crop_size.height),M=await M.center_crop(sA,cA)}const CA=[M.height,M.width];let eA=Float32Array.from(M.data),tA=[M.height,M.width,M.channels];if(this.do_rescale&&this.rescale(eA),m??this.do_normalize){let sA=this.image_mean;Array.isArray(this.image_mean)||(sA=new Array(M.channels).fill(sA));let cA=this.image_std;if(Array.isArray(this.image_std)||(cA=new Array(M.channels).fill(sA)),sA.length!==M.channels||cA.length!==M.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${sA.length}) and \`image_std\` (${cA.length}) must match the number of channels in the image (${M.channels}).`);for(let dA=0;dA<eA.length;dA+=M.channels)for(let P=0;P<M.channels;++P)eA[dA+P]=(eA[dA+P]-sA[P])/cA[P]}if(_??this.do_pad){if(this.pad_size)[eA,tA]=this.pad_image(eA,[M.height,M.width,M.channels],this.pad_size);else if(this.size_divisibility){const[sA,cA]=Q([tA[1],tA[0]],this.size_divisibility);[eA,tA]=this.pad_image(eA,tA,{width:sA,height:cA})}}if(X??this.do_flip_channel_order){if(tA[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let sA=0;sA<eA.length;sA+=3){const cA=eA[sA];eA[sA]=eA[sA+2],eA[sA+2]=cA}}const BA=new i.Tensor("float32",eA,tA).permute(2,0,1);return{original_size:[T,Z],reshaped_input_size:CA,pixel_values:BA}}async _call(M,...m){Array.isArray(M)||(M=[M]);const _=await Promise.all(M.map(b=>this.preprocess(b)));return{pixel_values:(0,i.stack)(_.map(b=>b.pixel_values),0),original_sizes:_.map(b=>b.original_size),reshaped_input_sizes:_.map(b=>b.reshaped_input_size)}}static async from_pretrained(M,m={}){const _=await(0,o.getModelJSON)(M,s.IMAGE_PROCESSOR_NAME,!0,m);return new this(_)}}},"./src/base/processing_utils.js":(A,g,e)=>{e.r(g),e.d(g,{Processor:()=>C});var I=e("./src/utils/constants.js"),i=e("./src/utils/generic.js"),t=e("./src/utils/hub.js");class C extends i.Callable{static classes=["image_processor_class","tokenizer_class","feature_extractor_class"];static uses_processor_config=!1;static uses_chat_template_file=!1;constructor(s,B,Q){super(),this.config=s,this.components=B,this.chat_template=Q}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(s,B={}){if(!this.tokenizer)throw new Error("Unable to apply chat template without a tokenizer.");return this.tokenizer.apply_chat_template(s,{tokenize:!1,chat_template:this.chat_template??void 0,...B})}batch_decode(...s){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.batch_decode(...s)}decode(...s){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.decode(...s)}async _call(s,...B){for(const Q of[this.image_processor,this.feature_extractor,this.tokenizer])if(Q)return Q(s,...B);throw new Error("No image processor, feature extractor, or tokenizer found.")}static async from_pretrained(s,B={}){const[Q,a,r]=await Promise.all([this.uses_processor_config?(0,t.getModelJSON)(s,I.PROCESSOR_NAME,!0,B):{},Promise.all(this.classes.filter(d=>d in this).map(async d=>{const c=await this[d].from_pretrained(s,B);return[d.replace(/_class$/,""),c]})).then(Object.fromEntries),this.uses_chat_template_file?(0,t.getModelText)(s,I.CHAT_TEMPLATE_NAME,!0,B):null]);return new this(Q,a,r)}}},"./src/configs.js":(A,g,e)=>{e.r(g),e.d(g,{AutoConfig:()=>Q,PretrainedConfig:()=>B,getCacheShapes:()=>o});var I=e("./src/utils/core.js"),i=e("./src/utils/hub.js");async function t(a,r){return await(0,i.getModelJSON)(a,"config.json",!0,r)}function C(a){const r={};let 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type: ${k[m]}`);return f}return s(a,r)}function s(a,{prefix:r="past_key_values",batch_size:d=1}={}){const c={},f=a.normalized_config;if(f.is_encoder_decoder&&"num_encoder_heads"in f&&"num_decoder_heads"in f){const k=f.encoder_dim_kv??f.encoder_hidden_size/f.num_encoder_heads,u=f.decoder_dim_kv??f.decoder_hidden_size/f.num_decoder_heads,D=[d,f.num_encoder_heads,0,k],G=[d,f.num_decoder_heads,0,u];for(let h=0;h<f.num_decoder_layers;++h)c[`${r}.${h}.encoder.key`]=D,c[`${r}.${h}.encoder.value`]=D,c[`${r}.${h}.decoder.key`]=G,c[`${r}.${h}.decoder.value`]=G}else{const k=f.num_heads,u=f.num_layers,D=f.dim_kv??f.hidden_size/(f.num_attention_heads??k);if(f.model_type==="falcon"){const G=[d*k,0,D];for(let h=0;h<u;++h)c[`${r}.${h}.key`]=G,c[`${r}.${h}.value`]=G}else if(f.multi_query){const G=[d*k,0,2*D];for(let h=0;h<u;++h)c[`${r}.${h}.key_value`]=G}else if(f.model_type==="bloom"){const G=[d*k,D,0],h=[d*k,0,D];for(let y=0;y<u;++y)c[`${r}.${y}.key`]=G,c[`${r}.${y}.value`]=h}else 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self<"u"&&["DedicatedWorkerGlobalScope","ServiceWorkerGlobalScope","SharedWorkerGlobalScope"].includes(self.constructor?.name),B=typeof self<"u"&&"caches"in self,Q=typeof navigator<"u"&&"gpu"in navigator,a=typeof navigator<"u"&&"ml"in navigator,r=typeof process<"u",d=r&&process?.release?.name==="node",c=!_(I),f=!_(i),k=typeof globalThis.Deno<"u",u=Object.freeze({IS_BROWSER_ENV:o,IS_WEBWORKER_ENV:s,IS_WEB_CACHE_AVAILABLE:B,IS_WEBGPU_AVAILABLE:Q,IS_WEBNN_AVAILABLE:a,IS_PROCESS_AVAILABLE:r,IS_NODE_ENV:d,IS_FS_AVAILABLE:c,IS_PATH_AVAILABLE:f}),D=c&&f;let G="./";if(D){const x=Object(import.meta).url;x?G=i.dirname(i.dirname(t.fileURLToPath(x))):typeof __dirname<"u"&&(G=i.dirname(__dirname))}const h=D?i.join(G,"/.cache/"):null,y="/models/",M=D?i.join(G,y):y,m={version:C,backends:{onnx:{}},allowRemoteModels:!0,remoteHost:"https://huggingface.co/",remotePathTemplate:"{model}/resolve/{revision}/",allowLocalModels:!(o||s),localModelPath:M,useFS:c,useBrowserCache:B&&!k,useFSCache:c,cacheDir:h,useCustomCache:!1,customCache:null};function _(x){return Object.keys(x).length===0}},"./src/generation/configuration_utils.js":(A,g,e)=>{e.r(g),e.d(g,{GenerationConfig:()=>i});var I=e("./src/utils/core.js");class i{max_length=20;max_new_tokens=null;min_length=0;min_new_tokens=null;early_stopping=!1;max_time=null;do_sample=!1;num_beams=1;num_beam_groups=1;penalty_alpha=null;use_cache=!0;temperature=1;top_k=50;top_p=1;typical_p=1;epsilon_cutoff=0;eta_cutoff=0;diversity_penalty=0;repetition_penalty=1;encoder_repetition_penalty=1;length_penalty=1;no_repeat_ngram_size=0;bad_words_ids=null;force_words_ids=null;renormalize_logits=!1;constraints=null;forced_bos_token_id=null;forced_eos_token_id=null;remove_invalid_values=!1;exponential_decay_length_penalty=null;suppress_tokens=null;streamer=null;begin_suppress_tokens=null;forced_decoder_ids=null;guidance_scale=null;num_return_sequences=1;output_attentions=!1;output_hidden_states=!1;output_scores=!1;return_dict_in_generate=!1;pad_token_id=null;bos_token_id=null;eos_token_id=null;encoder_no_repeat_ngram_size=0;decoder_start_token_id=null;generation_kwargs={};constructor(C){Object.assign(this,(0,I.pick)(C,Object.getOwnPropertyNames(this)))}}},"./src/generation/logits_process.js":(A,g,e)=>{e.r(g),e.d(g,{ClassifierFreeGuidanceLogitsProcessor:()=>u,ForcedBOSTokenLogitsProcessor:()=>s,ForcedEOSTokenLogitsProcessor:()=>B,LogitsProcessor:()=>t,LogitsProcessorList:()=>o,LogitsWarper:()=>C,MinLengthLogitsProcessor:()=>c,MinNewTokensLengthLogitsProcessor:()=>f,NoBadWordsLogitsProcessor:()=>k,NoRepeatNGramLogitsProcessor:()=>r,RepetitionPenaltyLogitsProcessor:()=>d,SuppressTokensAtBeginLogitsProcessor:()=>Q,TemperatureLogitsWarper:()=>D,TopKLogitsWarper:()=>h,TopPLogitsWarper:()=>G,WhisperTimeStampLogitsProcessor:()=>a});var I=e("./src/utils/generic.js");e("./src/utils/tensor.js");var i=e("./src/utils/maths.js");class t extends I.Callable{_call(M,m){throw Error("`_call` should be implemented in a subclass")}}class C extends I.Callable{_call(M,m){throw Error("`_call` should be implemented in a subclass")}}class o extends I.Callable{constructor(){super(),this.processors=[]}push(M){this.processors.push(M)}extend(M){this.processors.push(...M)}_call(M,m){let _=m;for(const x of this.processors)_=x(M,_);return _}[Symbol.iterator](){return this.processors.values()}}class s extends t{constructor(M){super(),this.bos_token_id=M}_call(M,m){for(let _=0;_<M.length;++_)if(M[_].length===1){const x=m[_].data;x.fill(-1/0),x[this.bos_token_id]=0}return m}}class B extends t{constructor(M,m){super(),this.max_length=M,this.eos_token_id=Array.isArray(m)?m:[m]}_call(M,m){for(let _=0;_<M.length;++_)if(M[_].length===this.max_length-1){const x=m[_].data;x.fill(-1/0);for(const b of this.eos_token_id)x[b]=0}return m}}class Q extends t{constructor(M,m){super(),this.begin_suppress_tokens=M,this.begin_index=m}_call(M,m){for(let _=0;_<M.length;++_)if(M[_].length===this.begin_index){const x=m[_].data;for(const b of this.begin_suppress_tokens)x[b]=-1/0}return m}}class a extends t{constructor(M,m){super(),this.eos_token_id=Array.isArray(M.eos_token_id)?M.eos_token_id[0]:M.eos_token_id,this.no_timestamps_token_id=M.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=m.length,m.at(-1)===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=M.max_initial_timestamp_index}_call(M,m){for(let _=0;_<M.length;++_){const x=m[_].data;if(x[this.no_timestamps_token_id]=-1/0,M[_].length===this.begin_index-1){x.fill(-1/0),x[this.timestamp_begin]=0;continue}const b=M[_].slice(this.begin_index),X=b.length>=1&&b[b.length-1]>=this.timestamp_begin,Z=b.length<2||b[b.length-2]>=this.timestamp_begin;if(X&&(Z?x.subarray(this.timestamp_begin).fill(-1/0):x.subarray(0,this.eos_token_id).fill(-1/0)),M[_].length===this.begin_index&&this.max_initial_timestamp_index!==null){const tA=this.timestamp_begin+this.max_initial_timestamp_index;x.subarray(tA+1).fill(-1/0)}const T=(0,i.log_softmax)(x),CA=Math.log(T.subarray(this.timestamp_begin).map(Math.exp).reduce((tA,BA)=>tA+BA)),eA=(0,i.max)(T.subarray(0,this.timestamp_begin))[0];CA>eA&&x.subarray(0,this.timestamp_begin).fill(-1/0)}return m}}class r extends t{constructor(M){super(),this.no_repeat_ngram_size=M}getNgrams(M){const m=M.length,_=[];for(let b=0;b<m+1-this.no_repeat_ngram_size;++b){const X=[];for(let Z=0;Z<this.no_repeat_ngram_size;++Z)X.push(M[b+Z]);_.push(X.map(Number))}const x=new Map;for(const b of _){const X=b.slice(0,b.length-1),Z=JSON.stringify(X),T=x.get(Z)??[];T.push(b[b.length-1]),x.set(Z,T)}return x}getGeneratedNgrams(M,m){const _=m.slice(m.length+1-this.no_repeat_ngram_size,m.length);return M.get(JSON.stringify(_.map(Number)))??[]}calcBannedNgramTokens(M){const m=[];if(M.length+1<this.no_repeat_ngram_size)return m;{const _=this.getNgrams(M);return this.getGeneratedNgrams(_,M)}}_call(M,m){for(let _=0;_<M.length;++_){const x=m[_].data,b=this.calcBannedNgramTokens(M[_]);for(const X of b)x[X]=-1/0}return m}}class d extends t{constructor(M){super(),this.penalty=M}_call(M,m){for(let _=0;_<M.length;++_){const x=m[_].data;for(const b of new Set(M[_])){const X=Number(b);x[X]<0?x[X]*=this.penalty:x[X]/=this.penalty}}return m}}class c extends t{constructor(M,m){super(),this.min_length=M,this.eos_token_id=Array.isArray(m)?m:[m]}_call(M,m){for(let _=0;_<M.length;++_)if(M[_].length<this.min_length){const x=m[_].data;for(const b of this.eos_token_id)x[b]=-1/0}return m}}class f extends t{constructor(M,m,_){super(),this.prompt_length_to_skip=M,this.min_new_tokens=m,this.eos_token_id=Array.isArray(_)?_:[_]}_call(M,m){for(let _=0;_<M.length;++_)if(M[_].length-this.prompt_length_to_skip<this.min_new_tokens){const b=m[_].data;for(const X of this.eos_token_id)b[X]=-1/0}return m}}class k extends t{constructor(M,m){super(),this.bad_words_ids=M,this.eos_token_id=Array.isArray(m)?m:[m]}_call(M,m){for(let _=0;_<M.length;++_){const x=m[_].data,b=M[_];for(const X of this.bad_words_ids){if(b.length<X.length-1)continue;let Z=!0;for(let T=1;T<=X.length-1;++T)if(X.at(-T-1)!=b.at(-T)){Z=!1;break}Z&&(x[X.at(-1)]=-1/0)}}return m}}class u extends t{constructor(M){if(super(),M<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${M}.`);this.guidance_scale=M}_call(M,m){if(m.dims[0]!==2*M.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${m.dims[0]} for the logits and ${M.length} for the input ids.`);const _=M.length,x=m.slice([0,_],null),b=m.slice([_,m.dims[0]],null);for(let X=0;X<b.data.length;++X)b.data[X]+=(x.data[X]-b.data[X])*this.guidance_scale;return b}}class D extends C{constructor(M){super(),this.temperature=M}_call(M,m){const _=m.data;for(let x=0;x<_.length;++x)_[x]/=this.temperature;return m}}class G extends C{constructor(M,{filter_value:m=-1/0,min_tokens_to_keep:_=1}={}){if(super(),M<0||M>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${M}`);if(!Number.isInteger(_)||_<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${_}`);this.top_p=M,this.filter_value=m,this.min_tokens_to_keep=_}}class h extends C{constructor(M,{filter_value:m=-1/0,min_tokens_to_keep:_=1}={}){if(super(),!Number.isInteger(M)||M<0)throw new Error(`\`top_k\` must be a positive integer, but is ${M}`);this.top_k=Math.max(M,_),this.filter_value=m}}},"./src/generation/logits_sampler.js":(A,g,e)=>{e.r(g),e.d(g,{LogitsSampler:()=>C});var I=e("./src/utils/generic.js"),i=e("./src/utils/tensor.js"),t=e("./src/utils/maths.js");e("./src/generation/configuration_utils.js");class C extends I.Callable{constructor(a){super(),this.generation_config=a}async _call(a){return this.sample(a)}async sample(a){throw Error("sample should be implemented in subclasses.")}getLogits(a,r){let d=a.dims.at(-1),c=a.data;if(r===-1)c=c.slice(-d);else{let f=r*d;c=c.slice(f,f+d)}return c}randomSelect(a){let r=0;for(let c=0;c<a.length;++c)r+=a[c];let d=Math.random()*r;for(let c=0;c<a.length;++c)if(d-=a[c],d<=0)return c;return 0}static getSampler(a){if(a.do_sample)return new s(a);if(a.num_beams>1)return new B(a);if(a.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${a.num_return_sequences}.`);return new o(a)}}class o extends C{async sample(a){const r=(0,t.max)(a.data)[1];return[[BigInt(r),0]]}}class s extends C{async sample(a){let r=a.dims.at(-1);this.generation_config.top_k>0&&(r=Math.min(this.generation_config.top_k,r));const[d,c]=await(0,i.topk)(a,r),f=(0,t.softmax)(d.data);return Array.from({length:this.generation_config.num_beams},()=>{const k=this.randomSelect(f);return[c.data[k],Math.log(f[k])]})}}class B extends C{async sample(a){let r=a.dims.at(-1);this.generation_config.top_k>0&&(r=Math.min(this.generation_config.top_k,r));const[d,c]=await(0,i.topk)(a,r),f=(0,t.softmax)(d.data);return Array.from({length:this.generation_config.num_beams},(k,u)=>[c.data[u],Math.log(f[u])])}}},"./src/generation/stopping_criteria.js":(A,g,e)=>{e.r(g),e.d(g,{EosTokenCriteria:()=>o,InterruptableStoppingCriteria:()=>s,MaxLengthCriteria:()=>C,StoppingCriteria:()=>i,StoppingCriteriaList:()=>t});var I=e("./src/utils/generic.js");class i extends I.Callable{_call(Q,a){throw Error("StoppingCriteria needs to be subclassed")}}class t extends I.Callable{constructor(){super(),this.criteria=[]}push(Q){this.criteria.push(Q)}extend(Q){Q instanceof t?Q=Q.criteria:Q instanceof i&&(Q=[Q]),this.criteria.push(...Q)}_call(Q,a){const r=new Array(Q.length).fill(!1);for(const d of this.criteria){const c=d(Q,a);for(let f=0;f<r.length;++f)r[f]||=c[f]}return r}[Symbol.iterator](){return this.criteria.values()}}class C extends i{constructor(Q,a=null){super(),this.max_length=Q,this.max_position_embeddings=a}_call(Q){return Q.map(a=>a.length>=this.max_length)}}class o extends i{constructor(Q){super(),Array.isArray(Q)||(Q=[Q]),this.eos_token_id=Q}_call(Q,a){return Q.map(r=>{const d=r.at(-1);return this.eos_token_id.some(c=>d==c)})}}class s extends i{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(Q,a){return new Array(Q.length).fill(this.interrupted)}}},"./src/generation/streamers.js":(A,g,e)=>{e.r(g),e.d(g,{BaseStreamer:()=>C,TextStreamer:()=>s,WhisperTextStreamer:()=>B});var I=e("./src/utils/core.js"),i=e("./src/tokenizers.js"),t=e("./src/env.js");class C{put(a){throw Error("Not implemented")}end(){throw Error("Not implemented")}}const o=t.apis.IS_PROCESS_AVAILABLE?Q=>process.stdout.write(Q):Q=>console.log(Q);class s extends C{constructor(a,{skip_prompt:r=!1,callback_function:d=null,token_callback_function:c=null,skip_special_tokens:f=!0,decode_kwargs:k={},...u}={}){super(),this.tokenizer=a,this.skip_prompt=r,this.callback_function=d??o,this.token_callback_function=c,this.decode_kwargs={skip_special_tokens:f,...k,...u},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(a){if(a.length>1)throw Error("TextStreamer only supports batch size of 1");const r=this.next_tokens_are_prompt;if(r&&(this.next_tokens_are_prompt=!1,this.skip_prompt))return;const d=a[0];this.token_callback_function?.(d),this.token_cache=(0,I.mergeArrays)(this.token_cache,d);const c=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let f;r||c.endsWith(`
`)?(f=c.slice(this.print_len),this.token_cache=[],this.print_len=0):c.length>0&&(0,i.is_chinese_char)(c.charCodeAt(c.length-1))?(f=c.slice(this.print_len),this.print_len+=f.length):(f=c.slice(this.print_len,c.lastIndexOf(" ")+1),this.print_len+=f.length),this.on_finalized_text(f,!1)}end(){let a;this.token_cache.length>0?(a=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):a="",this.next_tokens_are_prompt=!0,this.on_finalized_text(a,!0)}on_finalized_text(a,r){a.length>0&&this.callback_function?.(a),r&&this.callback_function===o&&t.apis.IS_PROCESS_AVAILABLE&&this.callback_function?.(`
`)}}class B extends s{constructor(a,{skip_prompt:r=!1,callback_function:d=null,token_callback_function:c=null,on_chunk_start:f=null,on_chunk_end:k=null,on_finalize:u=null,time_precision:D=.02,skip_special_tokens:G=!0,decode_kwargs:h={}}={}){super(a,{skip_prompt:r,skip_special_tokens:G,callback_function:d,token_callback_function:c,decode_kwargs:h}),this.timestamp_begin=a.timestamp_begin,this.on_chunk_start=f,this.on_chunk_end=k,this.on_finalize=u,this.time_precision=D,this.waiting_for_timestamp=!1}put(a){if(a.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const r=a[0];if(r.length===1){const d=Number(r[0])-this.timestamp_begin;if(d>=0){const c=d*this.time_precision;this.waiting_for_timestamp?this.on_chunk_end?.(c):this.on_chunk_start?.(c),this.waiting_for_timestamp=!this.waiting_for_timestamp,this.token_callback_function?.(r);return}}return 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When 'free_dimension_overrides' is not set, you may experience significant performance degradation.`);const Cg=u.apis.IS_NODE_ENV&&u.env.useFSCache,hg=(0,s.getModelFile)(w,Me,!0,q,Cg),_g=q.use_external_data_format??EA.use_external_data_format;let Gg=[];if(_g){let He;typeof _g=="object"?_g.hasOwnProperty(Ag)?He=_g[Ag]:_g.hasOwnProperty(p)?He=_g[p]:He=!1:He=_g;const ug=+He;if(ug>s.MAX_EXTERNAL_DATA_CHUNKS)throw new Error(`The number of external data chunks (${ug}) exceeds the maximum allowed value (${s.MAX_EXTERNAL_DATA_CHUNKS}).`);for(let Yg=0;Yg<ug;++Yg){const li=`${Ag}_data${Yg===0?"":"_"+Yg}`,gI=`${q.subfolder??""}/${li}`;Gg.push(new Promise(async(MI,Wi)=>{const ji=await(0,s.getModelFile)(w,gI,!0,q,Cg);MI(ji instanceof Uint8Array?{path:li,data:ji}:li)}))}}else we.externalData!==void 0&&(Gg=we.externalData.map(async He=>{if(typeof He.data=="string"){const ug=await(0,s.getModelFile)(w,He.data,!0,q);return{...He,data:ug}}return He}));if(Gg.length>0){const He=await Promise.all(Gg);u.apis.IS_NODE_ENV||(we.externalData=He)}if(mA==="webgpu"){const He=(0,I.getCacheShapes)(q.config,{prefix:"present"});if(Object.keys(He).length>0&&!(0,i.isONNXProxy)()){const ug={};for(const Yg in He)ug[Yg]="gpu-buffer";we.preferredOutputLocation=ug}}return{buffer_or_path:await hg,session_options:we,session_config:be}}async function x(w,p,q){return Object.fromEntries(await Promise.all(Object.keys(p).map(async EA=>{const{buffer_or_path:wA,session_options:mA,session_config:TA}=await _(w,p[EA],q),WA=await(0,i.createInferenceSession)(wA,mA,TA);return[EA,WA]})))}async function b(w,p,q){return Object.fromEntries(await Promise.all(Object.keys(p).map(async EA=>{const wA=await(0,s.getModelJSON)(w,p[EA],!1,q);return[EA,wA]})))}function X(w,p){const q=Object.create(null),EA=[];for(const TA of w.inputNames){const WA=p[TA];if(!(WA instanceof r.Tensor)){EA.push(TA);continue}q[TA]=(0,i.isONNXProxy)()?WA.clone():WA}if(EA.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${EA.join(", ")}.`);const wA=Object.keys(p).length,mA=w.inputNames.length;if(wA>mA){let TA=Object.keys(p).filter(WA=>!w.inputNames.includes(WA));console.warn(`WARNING: Too many inputs were provided (${wA} > ${mA}). 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w.encode_text({input_ids:p.input_ids})}if(q.inputNames.includes("token_type_ids")&&!EA.token_type_ids){if(!EA.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");EA.token_type_ids=(0,r.zeros_like)(EA.input_ids)}if(q.inputNames.includes("pixel_mask")&&!EA.pixel_mask){if(!EA.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const wA=EA.pixel_values.dims;EA.pixel_mask=(0,r.ones)([wA[0],wA[2],wA[3]])}return await T(q,EA)}async function cA(w,p){const q=await w.encode(p);return await w.decode(q)}async function dA(w,p,q=!1){const EA=w.sessions[q?"decoder_model_merged":"model"],{past_key_values:wA,...mA}=p;if(EA.inputNames.includes("use_cache_branch")&&(mA.use_cache_branch=tA(!!wA)),EA.inputNames.includes("position_ids")&&mA.attention_mask&&!mA.position_ids){const WA=["paligemma","gemma3_text","gemma3"].includes(w.config.model_type)?1:0;mA.position_ids=PA(mA,wA,WA)}w.addPastKeyValues(mA,wA);const TA=(0,o.pick)(mA,EA.inputNames);return await T(EA,TA)}function P({modality_token_id:w,inputs_embeds:p,modality_features:q,input_ids:EA,attention_mask:wA}){const mA=EA.tolist().map(Qe=>Qe.reduce((Ge,Ue,be)=>(Ue==w&&Ge.push(be),Ge),[])),TA=mA.reduce((Qe,Ge)=>Qe+Ge.length,0),WA=q.dims[0];if(TA!==WA)throw new Error(`Number of tokens and features do not match: tokens: ${TA}, features ${WA}`);let ee=0;for(let Qe=0;Qe<mA.length;++Qe){const Ge=mA[Qe],Ue=p[Qe];for(let be=0;be<Ge.length;++be)Ue[Ge[be]].data.set(q[ee++].data)}return{inputs_embeds:p,attention_mask:wA}}function U({image_token_id:w,inputs_embeds:p,image_features:q,input_ids:EA,attention_mask:wA}){return P({modality_token_id:w,inputs_embeds:p,modality_features:q,input_ids:EA,attention_mask:wA})}function z({audio_token_id:w,inputs_embeds:p,audio_features:q,input_ids:EA,attention_mask:wA}){return P({modality_token_id:w,inputs_embeds:p,modality_features:q,input_ids:EA,attention_mask:wA})}async function v(w,{encode_function:p,merge_function:q,modality_input_name:EA,modality_output_name:wA,input_ids:mA=null,attention_mask:TA=null,position_ids:WA=null,inputs_embeds:ee=null,past_key_values:Qe=null,generation_config:Ge=null,logits_processor:Ue=null,...be}){const ye=be[EA];if(!ee){if(ee=await w.encode_text({input_ids:mA,...be}),ye&&mA.dims[1]!==1){const Me=await p({[EA]:ye,...be});({inputs_embeds:ee,attention_mask:TA}=q({[wA]:Me,inputs_embeds:ee,input_ids:mA,attention_mask:TA}))}else if(Qe&&ye&&mA.dims[1]===1){const Me=mA.dims[1],we=Object.values(Qe)[0].dims.at(-2);TA=(0,r.cat)([(0,r.ones)([mA.dims[0],we]),TA.slice(null,[TA.dims[1]-Me,TA.dims[1]])],1)}}if(!WA&&w.config.model_type==="qwen2_vl"){const{image_grid_thw:Me,video_grid_thw:we}=be;[WA]=w.get_rope_index(mA,Me,we,TA)}return await dA(w,{inputs_embeds:ee,past_key_values:Qe,attention_mask:TA,position_ids:WA,generation_config:Ge,logits_processor:Ue},!0)}async function nA(w,p){return await v(w,{...p,modality_input_name:"audio_values",modality_output_name:"audio_features",encode_function:w.encode_audio.bind(w),merge_function:w._merge_input_ids_with_audio_features.bind(w)})}async function YA(w,p){return await v(w,{...p,modality_input_name:"pixel_values",modality_output_name:"image_features",encode_function:w.encode_image.bind(w),merge_function:w._merge_input_ids_with_image_features.bind(w)})}function _A(w,p=0){const[q,EA]=w.dims,wA=w.data,mA=new BigInt64Array(wA.length);for(let TA=0;TA<q;++TA){const WA=TA*EA;let ee=BigInt(p);for(let Qe=0;Qe<EA;++Qe){const Ge=WA+Qe;wA[Ge]===0n?mA[Ge]=BigInt(1):(mA[Ge]=ee,ee+=wA[Ge])}}return{data:mA,dims:w.dims}}function PA(w,p=null,q=0){const{input_ids:EA,inputs_embeds:wA,attention_mask:mA}=w,{data:TA,dims:WA}=_A(mA,q);let ee=new r.Tensor("int64",TA,WA);if(p){const Qe=-(EA??wA).dims.at(1);ee=ee.slice(null,[Qe,null])}return ee}function ie(w,p,q,EA){const wA=q.past_key_values?Object.values(q.past_key_values)[0].dims.at(-2):0;if(!q.attention_mask){let mA;for(const TA of["input_ids","inputs_embeds","position_ids"])if(q[TA]){mA=q[TA].dims;break}if(!mA)throw new Error("attention_mask is not provided, and unable to infer its shape from model inputs.");q.attention_mask=(0,r.ones)([mA[0],wA+mA[1]])}if(q.past_key_values){const{input_ids:mA,attention_mask:TA}=q;TA&&TA.dims[1]>mA.dims[1]||wA<mA.dims[1]&&(q.input_ids=mA.slice(null,[wA,null]))}return q}function LA(w,p,q,EA){return q.past_key_values&&(p=p.map(wA=>[wA.at(-1)])),{...q,decoder_input_ids:eA(p)}}function AA(w,...p){return w.config.is_encoder_decoder?LA(w,...p):ie(w,...p)}function hA(w,p,q,EA){const wA=!!q.past_key_values;return EA.guidance_scale!==null&&EA.guidance_scale>1&&(wA?q.input_ids=(0,r.cat)([q.input_ids,q.input_ids],0):(q.input_ids=(0,r.cat)([q.input_ids,(0,r.full_like)(q.input_ids,BigInt(EA.pad_token_id))],0),q.attention_mask=(0,r.cat)([q.attention_mask,(0,r.full_like)(q.attention_mask,0n)],0))),(wA||!q.pixel_values)&&(q.pixel_values=(0,r.full)([0,0,3,384,384],1)),wA&&(q.images_seq_mask=new r.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),q.images_emb_mask=new r.Tensor("bool",new Array(0).fill(!1),[1,1,0])),q}class V extends C.Callable{main_input_name="input_ids";forward_params=["input_ids","attention_mask"];constructor(p,q,EA){super(),this.config=p,this.sessions=q,this.configs=EA;const wA=m.get(this.constructor),mA=y.get(wA);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,mA){case h.DecoderOnly:this.can_generate=!0,this._forward=dA,this._prepare_inputs_for_generation=ie;break;case h.Seq2Seq:case h.Vision2Seq:case h.Musicgen:this.can_generate=!0,this._forward=BA,this._prepare_inputs_for_generation=LA;break;case h.EncoderDecoder:this._forward=BA;break;case h.ImageTextToText:this.can_generate=!0,this._forward=YA,this._prepare_inputs_for_generation=AA;break;case h.AudioTextToText:this.can_generate=!0,this._forward=nA,this._prepare_inputs_for_generation=AA;break;case h.Phi3V:case h.ImageAudioTextToText:this.can_generate=!0,this._prepare_inputs_for_generation=AA;break;case h.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=hA;break;case h.AutoEncoder:this._forward=cA;break;default:this._forward=sA;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){const p=[];for(const q of Object.values(this.sessions))q?.handler?.dispose&&p.push(q.handler.dispose());return await Promise.all(p)}static async from_pretrained(p,{progress_callback:q=null,config:EA=null,cache_dir:wA=null,local_files_only:mA=!1,revision:TA="main",model_file_name:WA=null,subfolder:ee="onnx",device:Qe=null,dtype:Ge=null,use_external_data_format:Ue=null,session_options:be={}}={}){let ye={progress_callback:q,config:EA,cache_dir:wA,local_files_only:mA,revision:TA,model_file_name:WA,subfolder:ee,device:Qe,dtype:Ge,use_external_data_format:Ue,session_options:be};const Ag=m.get(this),Me=y.get(Ag);EA=ye.config=await I.AutoConfig.from_pretrained(p,ye);let we;if(Me===h.DecoderOnly)we=await Promise.all([x(p,{model:ye.model_file_name??"model"},ye),b(p,{generation_config:"generation_config.json"},ye)]);else if(Me===h.Seq2Seq||Me===h.Vision2Seq)we=await Promise.all([x(p,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},ye),b(p,{generation_config:"generation_config.json"},ye)]);else if(Me===h.MaskGeneration)we=await Promise.all([x(p,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},ye)]);else if(Me===h.EncoderDecoder)we=await Promise.all([x(p,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},ye)]);else if(Me===h.ImageTextToText){const We={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};EA.is_encoder_decoder&&(We.model="encoder_model"),we=await Promise.all([x(p,We,ye),b(p,{generation_config:"generation_config.json"},ye)])}else if(Me===h.AudioTextToText){const We={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};we=await Promise.all([x(p,We,ye),b(p,{generation_config:"generation_config.json"},ye)])}else if(Me===h.ImageAudioTextToText){const We={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};we=await Promise.all([x(p,We,ye),b(p,{generation_config:"generation_config.json"},ye)])}else if(Me===h.Musicgen)we=await Promise.all([x(p,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},ye),b(p,{generation_config:"generation_config.json"},ye)]);else if(Me===h.MultiModality)we=await Promise.all([x(p,{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"},ye),b(p,{generation_config:"generation_config.json"},ye)]);else if(Me===h.Phi3V)we=await Promise.all([x(p,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},ye),b(p,{generation_config:"generation_config.json"},ye)]);else if(Me===h.AutoEncoder)we=await Promise.all([x(p,{encoder_model:"encoder_model",decoder_model:"decoder_model"},ye)]);else{if(Me!==h.EncoderOnly){const We=Ag??EA?.model_type;We!=="custom"&&console.warn(`Model type for '${We}' not found, assuming encoder-only architecture. Please report this at ${B.GITHUB_ISSUE_URL}.`)}we=await Promise.all([x(p,{model:ye.model_file_name??"model"},ye)])}return new this(EA,...we)}async _call(p){return await this.forward(p)}async forward(p){return await this._forward(this,p)}get generation_config(){return this.configs?.generation_config??null}_get_logits_warper(p){const q=new Q.LogitsProcessorList;return p.temperature!==null&&p.temperature!==1&&q.push(new Q.TemperatureLogitsWarper(p.temperature)),p.top_k!==null&&p.top_k!==0&&q.push(new Q.TopKLogitsWarper(p.top_k)),p.top_p!==null&&p.top_p<1&&q.push(new Q.TopPLogitsWarper(p.top_p)),q}_get_logits_processor(p,q,EA=null){const wA=new Q.LogitsProcessorList;if(p.repetition_penalty!==null&&p.repetition_penalty!==1&&wA.push(new Q.RepetitionPenaltyLogitsProcessor(p.repetition_penalty)),p.no_repeat_ngram_size!==null&&p.no_repeat_ngram_size>0&&wA.push(new Q.NoRepeatNGramLogitsProcessor(p.no_repeat_ngram_size)),p.bad_words_ids!==null&&wA.push(new Q.NoBadWordsLogitsProcessor(p.bad_words_ids,p.eos_token_id)),p.min_length!==null&&p.eos_token_id!==null&&p.min_length>0&&wA.push(new Q.MinLengthLogitsProcessor(p.min_length,p.eos_token_id)),p.min_new_tokens!==null&&p.eos_token_id!==null&&p.min_new_tokens>0&&wA.push(new Q.MinNewTokensLengthLogitsProcessor(q,p.min_new_tokens,p.eos_token_id)),p.forced_bos_token_id!==null&&wA.push(new Q.ForcedBOSTokenLogitsProcessor(p.forced_bos_token_id)),p.forced_eos_token_id!==null&&wA.push(new Q.ForcedEOSTokenLogitsProcessor(p.max_length,p.forced_eos_token_id)),p.begin_suppress_tokens!==null){const mA=q>1||p.forced_bos_token_id===null?q:q+1;wA.push(new Q.SuppressTokensAtBeginLogitsProcessor(p.begin_suppress_tokens,mA))}return p.guidance_scale!==null&&p.guidance_scale>1&&wA.push(new Q.ClassifierFreeGuidanceLogitsProcessor(p.guidance_scale)),EA!==null&&wA.extend(EA),wA}_prepare_generation_config(p,q,EA=a.GenerationConfig){const wA={...this.config};for(const TA of["decoder","generator","text_config"])TA in wA&&Object.assign(wA,wA[TA]);const mA=new EA(wA);return Object.assign(mA,this.generation_config??{}),p&&Object.assign(mA,p),q&&Object.assign(mA,(0,o.pick)(q,Object.getOwnPropertyNames(mA))),mA}_get_stopping_criteria(p,q=null){const EA=new f.StoppingCriteriaList;return p.max_length!==null&&EA.push(new f.MaxLengthCriteria(p.max_length,this.config.max_position_embeddings??null)),p.eos_token_id!==null&&EA.push(new f.EosTokenCriteria(p.eos_token_id)),q&&EA.extend(q),EA}_validate_model_class(){if(!this.can_generate){const p=[fs,ms,ys,ps],q=m.get(this.constructor),EA=new Set,wA=this.config.model_type;for(const TA of p){const WA=TA.get(wA);WA&&EA.add(WA[0])}let mA=`The current model class (${q}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw EA.size>0&&(mA+=` Please use the following class instead: ${[...EA].join(", ")}`),Error(mA)}}prepare_inputs_for_generation(...p){return this._prepare_inputs_for_generation(this,...p)}_update_model_kwargs_for_generation({generated_input_ids:p,outputs:q,model_inputs:EA,is_encoder_decoder:wA}){return EA.past_key_values=this.getPastKeyValues(q,EA.past_key_values),EA.input_ids=new r.Tensor("int64",p.flat(),[p.length,1]),wA||(EA.attention_mask=(0,r.cat)([EA.attention_mask,(0,r.ones)([EA.attention_mask.dims[0],1])],1)),EA.position_ids=null,EA}_prepare_model_inputs({inputs:p,bos_token_id:q,model_kwargs:EA}){const wA=(0,o.pick)(EA,this.forward_params),mA=this.main_input_name;if(mA in wA){if(p)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else wA[mA]=p;return{inputs_tensor:wA[mA],model_inputs:wA,model_input_name:mA}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:p,model_inputs:q,model_input_name:EA,generation_config:wA}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!q.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:TA,pixel_values:WA,attention_mask:ee,...Qe}=q,Ge=await this._prepare_inputs_embeds(q);q={...Qe,...(0,o.pick)(Ge,["inputs_embeds","attention_mask"])}}let{last_hidden_state:mA}=await sA(this,q);if(wA.guidance_scale!==null&&wA.guidance_scale>1)mA=(0,r.cat)([mA,(0,r.full_like)(mA,0)],0),"attention_mask"in q&&(q.attention_mask=(0,r.cat)([q.attention_mask,(0,r.zeros_like)(q.attention_mask)],0));else if(q.decoder_input_ids){const TA=eA(q.decoder_input_ids).dims[0];if(TA!==mA.dims[0]){if(mA.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${mA.dims[0]}) than the decoder inputs (${TA}).`);mA=(0,r.cat)(Array.from({length:TA},()=>mA),0)}}return q.encoder_outputs=mA,q}_prepare_decoder_input_ids_for_generation({batch_size:p,model_input_name:q,model_kwargs:EA,decoder_start_token_id:wA,bos_token_id:mA,generation_config:TA}){let{decoder_input_ids:WA,...ee}=EA;if(!(WA instanceof r.Tensor)){if(WA)Array.isArray(WA[0])||(WA=Array.from({length:p},()=>WA));else if(wA??=mA,this.config.model_type==="musicgen")WA=Array.from({length:p*this.config.decoder.num_codebooks},()=>[wA]);else if(Array.isArray(wA)){if(wA.length!==p)throw new Error(`\`decoder_start_token_id\` expcted to have length ${p} but got ${wA.length}`);WA=wA}else WA=Array.from({length:p},()=>[wA]);WA=eA(WA)}return EA.decoder_attention_mask=(0,r.ones_like)(WA),{input_ids:WA,model_inputs:ee}}async generate({inputs:p=null,generation_config:q=null,logits_processor:EA=null,stopping_criteria:wA=null,streamer:mA=null,...TA}){this._validate_model_class(),q=this._prepare_generation_config(q,TA);let{inputs_tensor:WA,model_inputs:ee,model_input_name:Qe}=this._prepare_model_inputs({inputs:p,model_kwargs:TA});const Ge=this.config.is_encoder_decoder;Ge&&("encoder_outputs"in ee||(ee=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:WA,model_inputs:ee,model_input_name:Qe,generation_config:q})));let Ue;Ge?{input_ids:Ue,model_inputs:ee}=this._prepare_decoder_input_ids_for_generation({batch_size:ee[Qe].dims.at(0),model_input_name:Qe,model_kwargs:ee,decoder_start_token_id:q.decoder_start_token_id,bos_token_id:q.bos_token_id,generation_config:q}):Ue=ee[Qe];let be=Ue.dims.at(-1);q.max_new_tokens!==null&&(q.max_length=be+q.max_new_tokens);const ye=this._get_logits_processor(q,be,EA),Ag=this._get_stopping_criteria(q,wA),Me=ee[Qe].dims.at(0),we=k.LogitsSampler.getSampler(q),We=new Array(Me).fill(0),Cg=Ue.tolist();mA&&mA.put(Cg);let hg,_g={};for(;;){if(ee=this.prepare_inputs_for_generation(Cg,ee,q),hg=await this.forward(ee),q.output_attentions&&q.return_dict_in_generate){const gI=this.getAttentions(hg);for(const MI in gI)MI in _g||(_g[MI]=[]),_g[MI].push(gI[MI])}const He=hg.logits.slice(null,-1,null),ug=ye(Cg,He),Yg=[];for(let gI=0;gI<ug.dims.at(0);++gI){const MI=ug[gI],Wi=await we(MI);for(const[ji,Jo]of Wi){const Rt=BigInt(ji);We[gI]+=Jo,Cg[gI].push(Rt),Yg.push([Rt]);break}}if(mA&&mA.put(Yg),Ag(Cg).every(gI=>gI))break;ee=this._update_model_kwargs_for_generation({generated_input_ids:Yg,outputs:hg,model_inputs:ee,is_encoder_decoder:Ge})}mA&&mA.end();const Gg=this.getPastKeyValues(hg,ee.past_key_values,!0),Ng=new r.Tensor("int64",Cg.flat(),[Cg.length,Cg[0].length]);if(q.return_dict_in_generate)return{sequences:Ng,past_key_values:Gg,..._g};for(const He of Object.values(hg))He.location==="gpu-buffer"&&He.dispose();return Ng}getPastKeyValues(p,q,EA=!1){const wA=Object.create(null);for(const mA in p)if(mA.startsWith("present")){const TA=mA.replace("present_conv","past_conv").replace("present","past_key_values"),WA=mA.includes("encoder");if(WA&&q?wA[TA]=q[TA]:wA[TA]=p[mA],q&&(!WA||EA)){const ee=q[TA];ee.location==="gpu-buffer"&&ee.dispose()}}return wA}getAttentions(p){const q={};for(const EA of["cross_attentions","encoder_attentions","decoder_attentions"])for(const wA in p)wA.startsWith(EA)&&(EA in q||(q[EA]=[]),q[EA].push(p[wA]));return q}addPastKeyValues(p,q){if(q)Object.assign(p,q);else{const EA=this.sessions.decoder_model_merged??this.sessions.model,wA=(p[this.main_input_name]??p.attention_mask)?.dims?.[0]??1,mA=EA?.config?.kv_cache_dtype??"float32",TA=mA==="float16"?r.DataTypeMap.float16:r.DataTypeMap.float32,WA=(0,I.getCacheShapes)(this.config,{batch_size:wA});for(const ee in WA){const Qe=WA[ee].reduce((Ge,Ue)=>Ge*Ue,1);p[ee]=new r.Tensor(mA,new TA(Qe),WA[ee])}}}async encode_image({pixel_values:p}){return(await T(this.sessions.vision_encoder,{pixel_values:p})).image_features}async encode_text({input_ids:p}){return(await T(this.sessions.embed_tokens,{input_ids:p})).inputs_embeds}async encode_audio({audio_values:p}){return(await T(this.sessions.audio_encoder,{audio_values:p})).audio_features}}class fA{}class bA extends fA{constructor({last_hidden_state:p,hidden_states:q=null,attentions:EA=null}){super(),this.last_hidden_state=p,this.hidden_states=q,this.attentions=EA}}class NA extends V{}class pA extends NA{}class kA extends NA{async _call(p){return new Tg(await super._call(p))}}class MA extends NA{async _call(p){return new _e(await super._call(p))}}class xA extends NA{async _call(p){return new Jg(await super._call(p))}}class vA extends NA{async _call(p){return new qg(await super._call(p))}}class ge extends V{}class SA extends ge{}class re extends ge{async _call(p){return new Tg(await super._call(p))}}class HA extends ge{async _call(p){return new _e(await super._call(p))}}class zA extends ge{async _call(p){return new Jg(await super._call(p))}}class Be extends ge{async _call(p){return new qg(await super._call(p))}}class Ae extends V{}class oe extends Ae{}class se extends Ae{async _call(p){return new Tg(await super._call(p))}}class Ne extends Ae{async _call(p){return new _e(await super._call(p))}}class Pe extends Ae{async _call(p){return new Jg(await super._call(p))}}class pe extends V{}class tg extends pe{}class Og extends pe{}class xg extends V{}class De extends xg{}class gg extends V{}class kg extends gg{}class bI extends gg{async _call(p){return new Tg(await super._call(p))}}class xI extends gg{async _call(p){return new _e(await super._call(p))}}class pI extends gg{async _call(p){return new Jg(await super._call(p))}}class yI extends gg{async _call(p){return new qg(await super._call(p))}}class de extends V{}class J extends de{}class xe extends de{async _call(p){return new Tg(await super._call(p))}}class ke extends de{async _call(p){return new _e(await super._call(p))}}class EI extends de{async _call(p){return new Jg(await super._call(p))}}class N extends de{async _call(p){return new qg(await super._call(p))}}class gA extends V{}class O extends gA{}class IA extends gA{async _call(p){return new Tg(await super._call(p))}}class rA extends gA{async _call(p){return new _e(await super._call(p))}}class yA extends gA{async _call(p){return new Jg(await super._call(p))}}class JA extends gA{async _call(p){return new qg(await super._call(p))}}class ae extends V{}class Ee extends ae{}class Ie extends ae{async _call(p){return new Tg(await super._call(p))}}class Se extends ae{async _call(p){return new _e(await super._call(p))}}class Te extends ae{async _call(p){return new Jg(await super._call(p))}}class wg extends ae{async _call(p){return new qg(await super._call(p))}}class je extends V{}class lg extends je{}class Wg extends je{async _call(p){return new Tg(await super._call(p))}}class Ig extends je{async _call(p){return new _e(await super._call(p))}}class pg extends je{async _call(p){return new Jg(await super._call(p))}}class iI extends je{async _call(p){return new qg(await super._call(p))}}class cg extends V{}class Zg extends cg{}class oI extends cg{async _call(p){return new Tg(await super._call(p))}}class mg extends cg{async _call(p){return new _e(await super._call(p))}}class nI extends cg{async _call(p){return new Jg(await super._call(p))}}class CI extends cg{async _call(p){return new qg(await super._call(p))}}class ag extends V{}class jg extends ag{}class dg extends ag{async _call(p){return new _e(await super._call(p))}}class Mg extends ag{async _call(p){return new Jg(await super._call(p))}}class tI extends ag{async _call(p){return new qg(await super._call(p))}}class lI extends ag{async _call(p){return new Tg(await super._call(p))}}class AI extends V{}class fI extends AI{}class ve extends AI{async _call(p){return new Tg(await super._call(p))}}class qA extends AI{async _call(p){return new _e(await super._call(p))}}class n extends AI{async _call(p){return new Jg(await super._call(p))}}class F extends V{}class K extends F{}class W extends F{async _call(p){return new Tg(await super._call(p))}}class iA extends F{async _call(p){return new _e(await super._call(p))}}class QA extends F{async _call(p){return new qg(await super._call(p))}}class uA extends V{}class RA extends uA{}class Ce extends uA{async _call(p){return new Tg(await super._call(p))}}class Ke extends uA{async _call(p){return new _e(await super._call(p))}}class aA extends uA{async _call(p){return new Jg(await super._call(p))}}class R extends uA{async _call(p){return new qg(await super._call(p))}}class H extends V{}class $ extends H{}class oA extends H{async _call(p){return new Tg(await super._call(p))}}class DA extends H{async _call(p){return new _e(await super._call(p))}}class GA extends H{async _call(p){return new qg(await super._call(p))}}class jA extends V{}class XA extends jA{}class ZA extends jA{async _call(p){return new _e(await super._call(p))}}class $A extends jA{async _call(p){return new qg(await super._call(p))}}class fe extends jA{async _call(p){return new Tg(await super._call(p))}}class me extends V{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]}class Ye extends me{}class Lg extends me{}class og extends V{}class ng extends og{}class ig extends og{}class eI extends V{}class cI extends eI{}class Pg extends eI{}class sI extends V{}class Qg extends sI{}class Fg extends sI{}class Vg extends sI{async _call(p){return new _e(await super._call(p))}}class zg extends V{}class mI extends zg{}class Rg extends zg{}class dI extends zg{async _call(p){return new _e(await super._call(p))}}class Kg extends zg{}class Bg extends V{}class Sg extends Bg{}class yg extends Bg{}class $g extends V{}class WI extends $g{}class _i extends $g{}class PI extends V{}class zt extends PI{}class $t extends PI{async _call(p){return new Tg(await super._call(p))}}class Xt extends PI{async _call(p){return new _e(await super._call(p))}}class Zt extends PI{async _call(p){return new Jg(await super._call(p))}}class Ao extends PI{async _call(p){return new qg(await super._call(p))}}class jI extends V{}class eo extends jI{}class go extends jI{async _call(p){return new Tg(await super._call(p))}}class Io extends jI{async _call(p){return new _e(await super._call(p))}}class io extends jI{async _call(p){return new Jg(await super._call(p))}}class to extends jI{async _call(p){return new qg(await super._call(p))}}class VI extends V{}class tt extends VI{}class ot extends VI{async _call(p){return new Tg(await super._call(p))}}class Ct extends VI{async _call(p){return new _e(await super._call(p))}}class oo extends VI{async _call(p){return new Jg(await super._call(p))}}class Co extends VI{async _call(p){return new qg(await super._call(p))}}class Gi extends V{}class st extends Gi{}class zI extends Gi{}class Bt extends V{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]}class rt extends Bt{}class at extends Bt{_prepare_generation_config(p,q){return super._prepare_generation_config(p,q,D.WhisperGenerationConfig)}_retrieve_init_tokens(p){const q=[p.decoder_start_token_id];let EA=p.language;const wA=p.task;if(p.is_multilingual){EA||(console.warn("No language specified - defaulting to English (en)."),EA="en");const TA=`<|${(0,G.whisper_language_to_code)(EA)}|>`;q.push(p.lang_to_id[TA]),q.push(p.task_to_id[wA??"transcribe"])}else if(EA||wA)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!p.return_timestamps&&p.no_timestamps_token_id&&q.at(-1)!==p.no_timestamps_token_id?q.push(p.no_timestamps_token_id):p.return_timestamps&&q.at(-1)===p.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),q.pop()),q.filter(mA=>mA!=null)}async generate({inputs:p=null,generation_config:q=null,logits_processor:EA=null,stopping_criteria:wA=null,...mA}){q=this._prepare_generation_config(q,mA);const TA=mA.decoder_input_ids??this._retrieve_init_tokens(q);if(q.return_timestamps&&(EA??=new Q.LogitsProcessorList,EA.push(new Q.WhisperTimeStampLogitsProcessor(q,TA))),q.begin_suppress_tokens&&(EA??=new Q.LogitsProcessorList,EA.push(new Q.SuppressTokensAtBeginLogitsProcessor(q.begin_suppress_tokens,TA.length))),q.return_token_timestamps){if(!q.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.");q.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),q.output_attentions=!0,q.return_dict_in_generate=!0}const WA=await super.generate({inputs:p,generation_config:q,logits_processor:EA,decoder_input_ids:TA,...mA});return q.return_token_timestamps&&(WA.token_timestamps=this._extract_token_timestamps(WA,q.alignment_heads,q.num_frames)),WA}_extract_token_timestamps(p,q,EA=null,wA=.02){if(!p.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`.");EA==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let mA=this.config.median_filter_width;mA===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),mA=7);const TA=p.cross_attentions,WA=Array.from({length:this.config.decoder_layers},(Me,we)=>(0,r.cat)(TA.map(We=>We[we]),2)),ee=(0,r.stack)(q.map(([Me,we])=>{if(Me>=WA.length)throw new Error(`Layer index ${Me} is out of bounds for cross attentions (length ${WA.length}).`);return EA?WA[Me].slice(null,we,null,[0,EA]):WA[Me].slice(null,we)})).transpose(1,0,2,3),[Qe,Ge]=(0,r.std_mean)(ee,-2,0,!0),Ue=ee.clone();for(let Me=0;Me<Ue.dims[0];++Me){const we=Ue[Me];for(let We=0;We<we.dims[0];++We){const Cg=we[We],hg=Qe[Me][We][0].data,_g=Ge[Me][We][0].data;for(let Gg=0;Gg<Cg.dims[0];++Gg){let Ng=Cg[Gg].data;for(let He=0;He<Ng.length;++He)Ng[He]=(Ng[He]-_g[He])/hg[He];Ng.set((0,c.medianFilter)(Ng,mA))}}}const be=[(0,r.mean)(Ue,1)],ye=p.sequences.dims,Ag=new r.Tensor("float32",new Float32Array(ye[0]*ye[1]),ye);for(let Me=0;Me<ye[0];++Me){const we=be[Me].neg().squeeze_(0),[We,Cg]=(0,c.dynamic_time_warping)(we.tolist()),hg=Array.from({length:We.length-1},(Ng,He)=>We[He+1]-We[He]),_g=(0,o.mergeArrays)([1],hg).map(Ng=>!!Ng),Gg=[];for(let Ng=0;Ng<_g.length;++Ng)_g[Ng]&&Gg.push(Cg[Ng]*wA);Ag[Me].data.set(Gg,1)}return Ag}}class so extends at{}class Qt extends V{requires_attention_mask=!1;main_input_name="input_values";forward_params=["input_values","decoder_input_ids","past_key_values"]}class Et extends Qt{}class nt extends Qt{}class lt extends V{main_input_name="pixel_values";forward_params=["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"]}class ct extends V{forward_params=["input_ids","attention_mask","pixel_values","position_ids","past_key_values"]}class ki extends ct{_merge_input_ids_with_image_features(p){const q=p.image_features.dims.at(-1),EA=p.image_features.view(-1,q);return U({image_token_id:this.config.image_token_index,...p,image_features:EA})}}class Bo extends ki{}class ro extends ki{}class ao extends V{forward_params=["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"];main_input_name="inputs_embeds"}class Qo extends ao{_merge_input_ids_with_image_features({inputs_embeds:p,image_features:q,input_ids:EA,attention_mask:wA}){return{inputs_embeds:(0,r.cat)([q,p],1),attention_mask:(0,r.cat)([(0,r.ones)(q.dims.slice(0,2)),wA],1)}}async _prepare_inputs_embeds({input_ids:p,pixel_values:q,inputs_embeds:EA,attention_mask:wA}){if(!p&&!q)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let mA,TA;return p&&(mA=await this.encode_text({input_ids:p})),q&&(TA=await this.encode_image({pixel_values:q})),mA&&TA?{inputs_embeds:EA,attention_mask:wA}=this._merge_input_ids_with_image_features({inputs_embeds:mA,image_features:TA,input_ids:p,attention_mask:wA}):EA=mA||TA,{inputs_embeds:EA,attention_mask:wA}}async forward({input_ids:p,pixel_values:q,attention_mask:EA,decoder_input_ids:wA,decoder_attention_mask:mA,encoder_outputs:TA,past_key_values:WA,inputs_embeds:ee,decoder_inputs_embeds:Qe}){if(ee||({inputs_embeds:ee,attention_mask:EA}=await this._prepare_inputs_embeds({input_ids:p,pixel_values:q,inputs_embeds:ee,attention_mask:EA})),!TA){let{last_hidden_state:be}=await sA(this,{inputs_embeds:ee,attention_mask:EA});TA=be}if(!Qe){if(!wA)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Qe=await this.encode_text({input_ids:wA})}return await dA(this,{inputs_embeds:Qe,attention_mask:mA,encoder_attention_mask:EA,encoder_hidden_states:TA,past_key_values:WA},!0)}}class Eo extends V{forward_params=["input_ids","attention_mask","pixel_values","position_ids","past_key_values"]}class no extends Eo{_merge_input_ids_with_image_features(p){const q=p.image_features.dims.at(-1),EA=p.image_features.view(-1,q);return U({image_token_id:this.config.image_token_index,...p,image_features:EA})}}class ti extends ct{_merge_input_ids_with_image_features(p){const q=p.image_features.dims.at(-1),EA=p.image_features.view(-1,q);return U({image_token_id:this.config.image_token_index,...p,image_features:EA})}}class $I extends V{forward_params=["input_ids","attention_mask","inputs_embeds","per_layer_inputs","position_ids","pixel_values","input_features","input_features_mask","past_key_values"]}class Li extends $I{async forward({input_ids:p=null,attention_mask:q=null,pixel_values:EA=null,input_features:wA=null,input_features_mask:mA=null,position_ids:TA=null,inputs_embeds:WA=null,per_layer_inputs:ee=null,past_key_values:Qe=null,generation_config:Ge=null,logits_processor:Ue=null,...be}){if((!WA||!ee)&&({inputs_embeds:WA,per_layer_inputs:ee}=await T(this.sessions.embed_tokens,{input_ids:p}),p.dims[1]!==1)){if(EA){const{image_features:Ag}=await T(this.sessions.vision_encoder,{pixel_values:EA});({inputs_embeds:WA,attention_mask:q}=this._merge_input_ids_with_image_features({image_features:Ag,inputs_embeds:WA,input_ids:p,attention_mask:q}))}if(wA){const{audio_features:Ag}=await T(this.sessions.audio_encoder,{input_features:wA,input_features_mask:mA});({inputs_embeds:WA,attention_mask:q}=this._merge_input_ids_with_audio_features({audio_features:Ag,inputs_embeds:WA,input_ids:p,attention_mask:q}))}}return await dA(this,{inputs_embeds:WA,per_layer_inputs:ee,past_key_values:Qe,attention_mask:q,position_ids:TA,generation_config:Ge,logits_processor:Ue},!0)}_merge_input_ids_with_image_features(p){const q=p.image_features.dims.at(-1),EA=p.image_features.view(-1,q);return U({image_token_id:this.config.image_token_id,...p,image_features:EA})}_merge_input_ids_with_audio_features(p){const q=p.audio_features.dims.at(-1),EA=p.audio_features.view(-1,q);return z({audio_token_id:this.config.audio_token_id,...p,audio_features:EA})}}class lo extends V{forward_params=["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"]}class Ki extends lo{async encode_image({pixel_values:p,pixel_attention_mask:q}){return(await T(this.sessions.vision_encoder,{pixel_values:p,pixel_attention_mask:q})).image_features}_merge_input_ids_with_image_features(p){const q=p.image_features.dims.at(-1),EA=p.image_features.view(-1,q);return U({image_token_id:this.config.image_token_id,...p,image_features:EA})}}class oi extends Ki{}class Ui extends V{forward_params=["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"]}class Ji extends Ui{async forward({input_ids:p=null,attention_mask:q=null,pixel_values:EA=null,image_sizes:wA=null,position_ids:mA=null,inputs_embeds:TA=null,past_key_values:WA=null,generation_config:ee=null,logits_processor:Qe=null,...Ge}){if(!TA){let be;if(EA&&p.dims[1]!==1){if(!wA)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:be}=await T(this.sessions.vision_encoder,{pixel_values:EA,image_sizes:wA}))}else{const ye=this.config.normalized_config.hidden_size;be=new r.Tensor("float32",[],[0,ye])}({inputs_embeds:TA}=await T(this.sessions.prepare_inputs_embeds,{input_ids:p,image_features:be}))}return await dA(this,{inputs_embeds:TA,past_key_values:WA,attention_mask:q,position_ids:mA,generation_config:ee,logits_processor:Qe},!1)}}class TI extends V{}class dt extends TI{}class co extends TI{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"text_model"})}}class ht extends TI{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"text_model"})}}class ho extends TI{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"vision_model"})}}class uo extends TI{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"vision_model"})}}class bi extends V{}class ut extends bi{}class Ci extends bi{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"text_model"})}}class ue extends TI{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"vision_model"})}}class Do extends V{}class Dt extends Do{}class si extends V{}class Bi extends si{async forward(p){const q=!p.input_ids,EA=!p.pixel_values;if(q&&EA)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(q&&(p.input_ids=(0,r.ones)([p.pixel_values.dims[0],1])),EA){const{image_size:Qe}=this.config.vision_config;p.pixel_values=(0,r.full)([0,3,Qe,Qe],0)}const{text_embeddings:wA,image_embeddings:mA,l2norm_text_embeddings:TA,l2norm_image_embeddings:WA}=await super.forward(p),ee={};return q||(ee.text_embeddings=wA,ee.l2norm_text_embeddings=TA),EA||(ee.image_embeddings=mA,ee.l2norm_image_embeddings=WA),ee}}class BI extends si{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"text_model"})}}class ri extends si{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"vision_model"})}}class ai extends V{}class wt extends ai{}class pt extends ai{}class xi extends V{}class Ti extends xi{}class yt extends xi{}class Yi extends V{}class ft extends Yi{}class Qi extends Yi{}class Ei extends V{}class Hi extends Ei{}class mt extends Ei{}class Pi extends V{}class Mt extends Pi{}class Ft extends Pi{}class vi extends V{}class E extends vi{}class S extends vi{}class L extends V{}class Y extends L{}class j extends L{}class lA extends V{}class KA extends lA{}class OA extends lA{}class te extends V{}class ne extends te{}class Re extends te{}class qe extends V{}class Xe extends qe{}class Ug extends qe{}class YI extends V{}class wo extends YI{}class Sr extends YI{}class QC extends V{}class Nr extends QC{}class Rr extends QC{}class EC extends V{}class _r extends EC{}class Gr extends EC{}class nC extends V{}class kr extends nC{}class Lr extends nC{}class lC extends V{}class Kr extends lC{}class Ur extends lC{}class cC extends V{}class Jr extends cC{}class br extends cC{}class dC extends V{}class xr extends dC{}class Tr extends dC{}class hC extends V{}class Yr extends hC{}class Hr extends hC{}class uC extends V{}class Pr extends uC{}class vr extends uC{}class DC extends V{}class qr extends DC{}class Or extends DC{}class wC extends V{}class Wr extends wC{}class jr extends wC{}class pC extends V{}class Vr extends pC{}class zr extends pC{}class yC extends V{}class $r extends yC{}class Xr extends yC{}class fC extends V{}class Zr extends fC{}class Aa extends fC{}class mC extends V{}class ea extends mC{}class ga extends mC{}class MC extends V{}class Ia extends MC{}class ia extends MC{}class ta extends V{forward_params=["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"]}class oa extends ta{get_rope_index(p,q,EA,wA){const{vision_config:mA,image_token_id:TA,video_token_id:WA,vision_start_token_id:ee}=this.config,Qe=mA.spatial_merge_size??2,Ge=[];if(q||EA){let Ue=p.tolist();wA||(wA=(0,r.ones_like)(p));const be=wA.tolist(),ye=Array.from({length:3},Cg=>Array.from({length:p.dims[0]},hg=>Array.from({length:p.dims[1]},_g=>1))),Ag=q?q.tolist():[],Me=EA?EA.tolist():[];let we=0,We=0;for(let Cg=0;Cg<Ue.length;++Cg){const hg=Ue[Cg].filter((Eg,bg)=>be[Cg][bg]==1),Gg=hg.reduce((Eg,bg,ZI)=>(bg==ee&&Eg.push(ZI),Eg),[]).map(Eg=>hg[Eg+1]),Ng=Gg.filter(Eg=>Eg==TA).length,He=Gg.filter(Eg=>Eg==WA).length;let ug=[],Yg=0,li=Ng,gI=He;for(let Eg=0;Eg<Gg.length;++Eg){const bg=hg.findIndex((di,FI)=>FI>Yg&&di==TA),ZI=hg.findIndex((di,FI)=>FI>Yg&&di==WA),ci=li>0&&bg!==-1?bg:hg.length+1,Vi=gI>0&&ZI!==-1?ZI:hg.length+1;let bo,Ms,Fs,Ss;ci<Vi?([Ms,Fs,Ss]=Ag[we],++we,--li,bo=ci):([Ms,Fs,Ss]=Me[We],++We,--gI,bo=Vi);const[Gp,Ns,xo]=[Number(Ms),Math.floor(Number(Fs)/Qe),Math.floor(Number(Ss)/Qe)],Rs=bo-Yg,nl=ug.length>0?(0,c.max)(ug.at(-1))[0]+1:0;ug.push(Array.from({length:3*Rs},(di,FI)=>nl+FI%Rs));const _s=Rs+nl,To=Gp*Ns*xo,kp=Array.from({length:To},(di,FI)=>_s+Math.floor(FI/(Ns*xo))),Lp=Array.from({length:To},(di,FI)=>_s+Math.floor(FI/xo)%Ns),Kp=Array.from({length:To},(di,FI)=>_s+FI%xo);ug.push([kp,Lp,Kp].flat()),Yg=bo+To}if(Yg<hg.length){const Eg=ug.length>0?(0,c.max)(ug.at(-1))[0]+1:0,bg=hg.length-Yg;ug.push(Array.from({length:3*bg},(ZI,ci)=>Eg+ci%bg))}const MI=ug.reduce((Eg,bg)=>Eg+bg.length,0),Wi=new Array(MI);let ji=0;for(let Eg=0;Eg<3;++Eg)for(let bg=0;bg<ug.length;++bg){const ZI=ug[bg],ci=ZI.length/3;for(let Vi=Eg*ci;Vi<(Eg+1)*ci;++Vi)Wi[ji++]=ZI[Vi]}let Jo=0;const Rt=be[Cg];for(let Eg=0;Eg<Rt.length;++Eg)if(Rt[Eg]==1){for(let bg=0;bg<3;++bg)ye[bg][Cg][Eg]=Wi[bg*MI/3+Jo];++Jo}const _p=(0,c.max)(Wi)[0];Ge.push(_p+1-Ue[Cg].length)}return[new r.Tensor("int64",ye.flat(1/0),[3,p.dims[0],p.dims[1]]),new r.Tensor("int64",Ge,[Ge.length,1])]}else if(wA){const{data:Ue,dims:be}=_A(wA),ye=BigInt64Array.from({length:3*Ue.length},(Me,we)=>Ue[we%Ue.length]),Ag=Array.from({length:be[0]},(Me,we)=>(0,c.max)(Ue.subarray(be[1]*we,be[1]*(we+1)))[0]+1n+BigInt(be[1]));return[new r.Tensor("int64",ye,[3,...be]),new r.Tensor("int64",Ag,[Ag.length,1])]}else{const[Ue,be]=p.dims,ye=BigInt64Array.from({length:3*Ue*be},(Ag,Me)=>BigInt(Math.floor(Me%be/Ue)));return[new r.Tensor("int64",ye,[3,...p.dims]),(0,r.zeros)([Ue,1])]}}async encode_image({pixel_values:p,image_grid_thw:q}){return(await T(this.sessions.vision_encoder,{pixel_values:p,grid_thw:q})).image_features}_merge_input_ids_with_image_features(p){return U({image_token_id:this.config.image_token_id,...p})}prepare_inputs_for_generation(p,q,EA){if(q.attention_mask&&!q.position_ids)if(!q.past_key_values)[q.position_ids,q.rope_deltas]=this.get_rope_index(q.input_ids,q.image_grid_thw,q.video_grid_thw,q.attention_mask);else{q.pixel_values=null;const wA=BigInt(Object.values(q.past_key_values)[0].dims.at(-2)),mA=q.rope_deltas.map(TA=>wA+TA);q.position_ids=(0,r.stack)([mA,mA,mA],0)}return q}}class FC extends V{}class Ca extends FC{}class sa extends FC{}class SC extends V{}class Ba extends SC{}class ra extends SC{}class NC extends V{}class aa extends NC{}class Qa extends NC{}class RC extends V{}class Ea extends RC{}class na extends RC{}class _C extends V{}class la extends _C{}class ca extends _C{}class GC extends V{}class da extends GC{}class ha extends GC{async _call(p){return new _e(await super._call(p))}}class kC extends V{}class ua extends kC{}class Da extends kC{async _call(p){return new _e(await super._call(p))}}class wa extends V{}class pa extends wa{}class LC extends V{}class ya extends LC{}class fa extends LC{async _call(p){return new _e(await super._call(p))}}class ma extends V{}class Ma extends ma{}class KC extends V{}class Fa extends KC{}class Sa extends KC{async _call(p){return new _e(await super._call(p))}}class Na extends V{}class Ra extends Na{}class UC extends V{}class _a extends UC{}class Ga extends UC{async _call(p){return new _e(await super._call(p))}}class ka extends V{}class La extends ka{async _call(p){return new Ql(await super._call(p))}}class JC extends V{}class Ka extends JC{}class Ua extends JC{async _call(p){return new _e(await super._call(p))}}class bC extends V{}class Ja extends bC{}class ba extends bC{async _call(p){return new _e(await super._call(p))}}class xC extends V{}class xa extends xC{}class Ta extends xC{}class TC extends V{}class Ya extends TC{}class Ha extends TC{}class YC extends V{}class Pa extends YC{}class va extends YC{async _call(p){return new _e(await super._call(p))}}class po extends V{}class qa extends po{}class Oa extends po{async _call(p){return new PC(await super._call(p))}}class HC extends po{async _call(p){return new Wa(await super._call(p))}}class PC extends fA{constructor({logits:p,pred_boxes:q}){super(),this.logits=p,this.pred_boxes=q}}class Wa extends fA{constructor({logits:p,pred_boxes:q,pred_masks:EA}){super(),this.logits=p,this.pred_boxes=q,this.pred_masks=EA}}class vC extends V{}class ja extends vC{}class Va extends vC{async _call(p){return new St(await super._call(p))}}class St extends fA{constructor({logits:p,pred_boxes:q}){super(),this.logits=p,this.pred_boxes=q}}class qC extends V{}class za extends qC{}class $a extends qC{async _call(p){return new Xa(await super._call(p))}}class Xa extends St{}class OC extends V{}class Za extends OC{}class AQ extends OC{async _call(p){return new eQ(await super._call(p))}}class eQ extends St{}class WC extends V{}class gQ extends WC{}class IQ extends WC{async _call(p){return new St(await super._call(p))}}class jC extends V{}class iQ extends jC{}class tQ extends jC{async _call(p){return new oQ(await super._call(p))}}class oQ extends PC{}class VC extends V{}class CQ extends VC{}class sQ extends VC{async _call(p){return new _e(await super._call(p))}}class zC extends V{}class BQ extends zC{}class rQ extends zC{async _call(p){return new _e(await super._call(p))}}class $C extends V{}class aQ extends $C{}class QQ extends $C{async _call(p){return new _e(await super._call(p))}}class yo extends V{}class EQ extends yo{}class nQ extends yo{async _call(p){return new _e(await super._call(p))}}class lQ extends yo{}class XC extends V{}class cQ extends XC{}class dQ extends XC{}class ZC extends V{}class hQ extends ZC{}class uQ extends ZC{}class DQ extends V{}class wQ extends DQ{}class fo extends V{}class pQ extends fo{}class yQ extends fo{}class fQ extends fo{}class mQ extends V{}class MQ extends mQ{}class FQ extends V{}class SQ extends FQ{}class NQ extends V{}class RQ extends NQ{}class As extends V{}class _Q extends As{}class GQ extends As{}class es extends V{}class kQ extends es{}class LQ extends es{}class KQ extends V{}class UQ extends KQ{}class gs extends V{}class JQ extends gs{}class bQ extends gs{async _call(p){return new _e(await super._call(p))}}class Is extends V{}class xQ extends Is{}class TQ extends Is{async _call(p){return new _e(await super._call(p))}}class is extends V{}class YQ extends is{}class HQ extends is{async _call(p){return new _e(await super._call(p))}}class ts extends V{}class PQ extends ts{}class vQ extends ts{async _call(p){return new _e(await super._call(p))}}class qQ extends V{}class OQ extends qQ{}class os extends V{}class WQ extends os{}class jQ extends os{async _call(p){return new VQ(await super._call(p))}}class VQ extends fA{constructor({logits:p,pred_boxes:q}){super(),this.logits=p,this.pred_boxes=q}}class zQ extends V{}class $Q extends zQ{async get_image_embeddings({pixel_values:p}){return await sA(this,{pixel_values:p})}async forward(p){if((!p.image_embeddings||!p.image_positional_embeddings)&&(p={...p,...await this.get_image_embeddings(p)}),!p.input_labels&&p.input_points){const EA=p.input_points.dims.slice(0,-1),wA=EA.reduce((mA,TA)=>mA*TA,1);p.input_labels=new r.Tensor("int64",new BigInt64Array(wA).fill(1n),EA)}const q={image_embeddings:p.image_embeddings,image_positional_embeddings:p.image_positional_embeddings};return p.input_points&&(q.input_points=p.input_points),p.input_labels&&(q.input_labels=p.input_labels),p.input_boxes&&(q.input_boxes=p.input_boxes),await T(this.sessions.prompt_encoder_mask_decoder,q)}async _call(p){return new XQ(await super._call(p))}}class XQ extends fA{constructor({iou_scores:p,pred_masks:q}){super(),this.iou_scores=p,this.pred_masks=q}}class Cs extends V{}class ZQ extends Cs{}class AE extends Cs{}class ss extends V{}class eE extends ss{}class gE extends ss{}class XI extends V{}class IE extends XI{}class iE extends XI{async _call(p){return new ni(await super._call(p))}}class tE extends XI{async _call(p){return new _e(await super._call(p))}}class oE extends XI{async _call(p){return new Jg(await super._call(p))}}class Bs extends V{}class CE extends Bs{}class sE extends Bs{async _call(p){return new Jg(await super._call(p))}}class BE extends V{}class rE extends BE{}class mo extends V{}class aE extends mo{}class QE extends mo{async _call(p){return new ni(await super._call(p))}}class EE extends mo{async _call(p){return new _e(await super._call(p))}}class Nt extends V{}class nE extends Nt{}class lE extends Nt{async _call(p){return new ni(await super._call(p))}}class cE extends Nt{async _call(p){return new _e(await super._call(p))}}class dE extends Nt{async _call(p){return new Jg(await super._call(p))}}class Mo extends V{}class hE extends Mo{}class uE extends Mo{async _call(p){return new ni(await super._call(p))}}class DE extends Mo{async _call(p){return new _e(await super._call(p))}}class x0 extends V{}class wE extends XI{}class pE extends XI{async _call(p){return new ni(await super._call(p))}}class yE extends XI{async _call(p){return new _e(await super._call(p))}}class qi extends V{}class fE extends qi{}class mE extends qi{async _call(p){return new ni(await super._call(p))}}class ME extends qi{async _call(p){return new _e(await super._call(p))}}class FE extends qi{async _call(p){return new al(await super._call(p))}}class SE extends qi{async _call(p){return new Jg(await super._call(p))}}class NE extends V{}class RE extends NE{}class Fo extends V{}class T0 extends Fo{}class _E extends Fo{}class GE extends Fo{async generate_speech(p,q,{threshold:EA=.5,minlenratio:wA=0,maxlenratio:mA=20,vocoder:TA=null}={}){const WA={input_ids:p},{encoder_outputs:ee,encoder_attention_mask:Qe}=await sA(this,WA),Ge=ee.dims[1]/this.config.reduction_factor,Ue=Math.floor(Ge*mA),be=Math.floor(Ge*wA),ye=this.config.num_mel_bins;let Ag=[],Me=null,we=null,We=0;for(;;){++We;const _g=tA(!!we);let Gg;we?Gg=we.output_sequence_out:Gg=new r.Tensor("float32",new Float32Array(ye),[1,1,ye]);let Ng={use_cache_branch:_g,output_sequence:Gg,encoder_attention_mask:Qe,speaker_embeddings:q,encoder_hidden_states:ee};this.addPastKeyValues(Ng,Me),we=await T(this.sessions.decoder_model_merged,Ng),Me=this.getPastKeyValues(we,Me);const{prob:He,spectrum:ug}=we;if(Ag.push(ug),We>=be&&(Array.from(He.data).filter(Yg=>Yg>=EA).length>0||We>=Ue))break}const Cg=(0,r.cat)(Ag),{waveform:hg}=await T(TA.sessions.model,{spectrogram:Cg});return{spectrogram:Cg,waveform:hg}}}class kE extends V{main_input_name="spectrogram"}class LE extends V{}class KE extends LE{}class rs extends V{}class UE extends rs{}class JE extends rs{}class as extends V{}class bE extends as{}class xE extends as{}class Qs extends V{}class TE extends Qs{}class YE extends Qs{}class Es extends V{}class HE extends Es{}class PE extends Es{}class So extends V{}class vE extends So{}class qE extends So{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"text_model"})}}class OE extends So{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"audio_model"})}}class WE extends V{}class ns extends WE{async _call(p){return new El(await super._call(p))}}class No extends V{}class Y0 extends No{}class jE extends No{}class VE extends No{}class ls extends V{}class zE extends ls{}class $E extends ls{}class cs extends V{}class XE extends cs{}class ZE extends cs{async _call(p){return new _e(await super._call(p))}}class ds extends V{}class H0 extends ds{}class P0 extends ds{}class hs extends V{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];_apply_and_filter_by_delay_pattern_mask(p){const[q,EA]=p.dims,wA=this.config.decoder.num_codebooks,mA=EA-wA;let TA=0;for(let Qe=0;Qe<p.size;++Qe){if(p.data[Qe]===this.config.decoder.pad_token_id)continue;const Ge=Qe%EA,Ue=Math.floor(Qe/EA)%wA,be=Ge-Ue;be>0&&be<=mA&&(p.data[TA++]=p.data[Qe])}const WA=Math.floor(q/wA),ee=TA/(WA*wA);return new r.Tensor(p.type,p.data.slice(0,TA),[WA,wA,ee])}prepare_inputs_for_generation(p,q,EA){let wA=structuredClone(p);for(let TA=0;TA<wA.length;++TA)for(let WA=0;WA<wA[TA].length;++WA)TA%this.config.decoder.num_codebooks>=WA&&(wA[TA][WA]=BigInt(this.config.decoder.pad_token_id));return EA.guidance_scale!==null&&EA.guidance_scale>1&&(wA=wA.concat(wA)),super.prepare_inputs_for_generation(wA,q,EA)}async generate(p){const q=await super.generate(p),EA=this._apply_and_filter_by_delay_pattern_mask(q).unsqueeze_(0),{audio_values:wA}=await T(this.sessions.encodec_decode,{audio_codes:EA});return wA}}class Ro extends V{}class An extends Ro{}class en extends Ro{async _call(p){return new _e(await super._call(p))}}class gn extends Ro{}class _o extends V{}class In extends _o{}class tn extends _o{async _call(p){return new _e(await super._call(p))}}class on extends _o{}class Go extends V{}class Cn extends Go{}class sn extends Go{async _call(p){return new _e(await super._call(p))}}class Bn extends Go{}class ko extends V{}class rn extends ko{}class an extends ko{async _call(p){return new _e(await super._call(p))}}class Qn extends ko{}class En extends V{}class nn extends En{}class ln extends V{}class cn extends ln{forward_params=["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"];constructor(...p){super(...p),this._generation_mode="text"}async forward(p){const q=this._generation_mode??"text";let EA;if(q==="text"||!p.past_key_values){const ee=this.sessions.prepare_inputs_embeds,Qe=(0,o.pick)(p,ee.inputNames);EA=await T(ee,Qe)}else{const ee=this.sessions.gen_img_embeds,Qe=(0,o.pick)({image_ids:p.input_ids},ee.inputNames);EA=await T(ee,Qe)}const wA={...p,...EA},mA=await dA(this,wA),TA=this.sessions[q==="text"?"lm_head":"gen_head"];if(!TA)throw new Error(`Unable to find "${TA}" generation head`);const WA=await T(TA,(0,o.pick)(mA,TA.inputNames));return{...EA,...mA,...WA}}async generate(p){return this._generation_mode="text",super.generate(p)}async generate_images(p){this._generation_mode="image";const q=(p.inputs??p[this.main_input_name]).dims[1],wA=(await super.generate(p)).slice(null,[q,null]),mA=this.sessions.image_decode,{decoded_image:TA}=await T(mA,{generated_tokens:wA}),WA=TA.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),ee=[];for(const Qe of WA){const Ge=d.RawImage.fromTensor(Qe);ee.push(Ge)}return ee}}class dn extends fA{constructor({char_logits:p,bpe_logits:q,wp_logits:EA}){super(),this.char_logits=p,this.bpe_logits=q,this.wp_logits=EA}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class hn extends V{}class un extends hn{async _call(p){return new dn(await super._call(p))}}class us extends V{}class Dn extends us{}class wn extends us{}class Ds extends V{}class pn extends Ds{}class yn extends Ds{}class fn extends V{forward_params=["input_ids","attention_mask","position_ids","audio_values","past_key_values"]}class ws extends fn{_merge_input_ids_with_audio_features(p){const q=p.audio_features.dims.at(-1),EA=p.audio_features.view(-1,q);return z({audio_token_id:this.config.ignore_index??this.config.audio_token_id,...p,audio_features:EA})}}class mn extends ws{}class Lo extends V{main_input_name="input_values";forward_params=["input_values"]}class Mn extends fA{constructor({audio_codes:p}){super(),this.audio_codes=p}}class Fn extends fA{constructor({audio_values:p}){super(),this.audio_values=p}}class Sn extends Lo{async encode(p){return new Mn(await T(this.sessions.encoder_model,p))}async decode(p){return new Fn(await T(this.sessions.decoder_model,p))}}class Nn extends Lo{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"encoder_model"})}}class Rn extends Lo{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"decoder_model"})}}class Ko extends V{main_input_name="input_values";forward_params=["input_values"]}class _n extends fA{constructor({audio_codes:p}){super(),this.audio_codes=p}}class Gn extends fA{constructor({audio_values:p}){super(),this.audio_values=p}}class kn extends Ko{async encode(p){return new _n(await T(this.sessions.encoder_model,p))}async decode(p){return new Gn(await T(this.sessions.decoder_model,p))}}class Ln extends Ko{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"encoder_model"})}}class Kn extends Ko{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"decoder_model"})}}class Uo extends V{main_input_name="input_values";forward_params=["input_values"]}class Un extends Uo{async encode(p){return await T(this.sessions.encoder_model,p)}async decode(p){return await T(this.sessions.decoder_model,p)}}class Jn extends Uo{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"encoder_model"})}}class bn extends Uo{static async from_pretrained(p,q={}){return super.from_pretrained(p,{...q,model_file_name:q.model_file_name??"decoder_model"})}}class Ze{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(p,{progress_callback:q=null,config:EA=null,cache_dir:wA=null,local_files_only:mA=!1,revision:TA="main",model_file_name:WA=null,subfolder:ee="onnx",device:Qe=null,dtype:Ge=null,use_external_data_format:Ue=null,session_options:be={}}={}){const ye={progress_callback:q,config:EA,cache_dir:wA,local_files_only:mA,revision:TA,model_file_name:WA,subfolder:ee,device:Qe,dtype:Ge,use_external_data_format:Ue,session_options:be};if(ye.config=await I.AutoConfig.from_pretrained(p,ye),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const Ag=ye.config.model_type;for(const Me of this.MODEL_CLASS_MAPPINGS){let we=Me.get(Ag);if(!we){for(const We of Me.values())if(We[0]===Ag){we=We;break}if(!we)continue}return await we[1].from_pretrained(p,ye)}if(this.BASE_IF_FAIL)return rl.has(Ag)||console.warn(`Unknown model class "${Ag}", attempting to construct from base class.`),await V.from_pretrained(p,ye);throw Error(`Unsupported model type: ${Ag}`)}}const v0=new Map([["bert",["BertModel",pA]],["neobert",["NeoBertModel",SA]],["modernbert",["ModernBertModel",oe]],["nomic_bert",["NomicBertModel",De]],["roformer",["RoFormerModel",kg]],["electra",["ElectraModel",O]],["esm",["EsmModel",fI]],["convbert",["ConvBertModel",J]],["camembert",["CamembertModel",Ee]],["deberta",["DebertaModel",lg]],["deberta-v2",["DebertaV2Model",Zg]],["mpnet",["MPNetModel",RA]],["albert",["AlbertModel",XA]],["distilbert",["DistilBertModel",jg]],["roberta",["RobertaModel",zt]],["xlm",["XLMModel",eo]],["xlm-roberta",["XLMRobertaModel",tt]],["clap",["ClapModel",vE]],["clip",["CLIPModel",dt]],["clipseg",["CLIPSegModel",wt]],["chinese_clip",["ChineseCLIPModel",Dt]],["siglip",["SiglipModel",ut]],["jina_clip",["JinaCLIPModel",Bi]],["mobilebert",["MobileBertModel",K]],["squeezebert",["SqueezeBertModel",$]],["wav2vec2",["Wav2Vec2Model",IE]],["wav2vec2-bert",["Wav2Vec2BertModel",hE]],["unispeech",["UniSpeechModel",aE]],["unispeech-sat",["UniSpeechSatModel",nE]],["hubert",["HubertModel",wE]],["wavlm",["WavLMModel",fE]],["audio-spectrogram-transformer",["ASTModel",st]],["vits",["VitsModel",ns]],["pyannote",["PyAnnoteModel",CE]],["wespeaker-resnet",["WeSpeakerResNetModel",rE]],["detr",["DetrModel",qa]],["rt_detr",["RTDetrModel",ja]],["rt_detr_v2",["RTDetrV2Model",za]],["rf_detr",["RFDetrModel",Za]],["d_fine",["DFineModel",gQ]],["table-transformer",["TableTransformerModel",iQ]],["vit",["ViTModel",da]],["ijepa",["IJepaModel",ua]],["pvt",["PvtModel",ya]],["vit_msn",["ViTMSNModel",Fa]],["vit_mae",["ViTMAEModel",Ma]],["groupvit",["GroupViTModel",Ra]],["fastvit",["FastViTModel",_a]],["mobilevit",["MobileViTModel",Ka]],["mobilevitv2",["MobileViTV2Model",Ja]],["owlvit",["OwlViTModel",xa]],["owlv2",["Owlv2Model",Ya]],["beit",["BeitModel",Pa]],["deit",["DeiTModel",CQ]],["hiera",["HieraModel",BQ]],["convnext",["ConvNextModel",JQ]],["convnextv2",["ConvNextV2Model",xQ]],["dinov2",["Dinov2Model",YQ]],["dinov2_with_registers",["Dinov2WithRegistersModel",PQ]],["resnet",["ResNetModel",aQ]],["swin",["SwinModel",EQ]],["swin2sr",["Swin2SRModel",cQ]],["donut-swin",["DonutSwinModel",UQ]],["yolos",["YolosModel",WQ]],["dpt",["DPTModel",hQ]],["glpn",["GLPNModel",kQ]],["hifigan",["SpeechT5HifiGan",kE]],["efficientnet",["EfficientNetModel",XE]],["decision_transformer",["DecisionTransformerModel",nn]],["patchtst",["PatchTSTForPrediction",Dn]],["patchtsmixer",["PatchTSMixerForPrediction",pn]],["mobilenet_v1",["MobileNetV1Model",An]],["mobilenet_v2",["MobileNetV2Model",In]],["mobilenet_v3",["MobileNetV3Model",Cn]],["mobilenet_v4",["MobileNetV4Model",rn]],["maskformer",["MaskFormerModel",_Q]],["mgp-str",["MgpstrForSceneTextRecognition",un]],["style_text_to_speech_2",["StyleTextToSpeech2Model",RE]]]),q0=new Map([["t5",["T5Model",Ye]],["longt5",["LongT5Model",ng]],["mt5",["MT5Model",cI]],["bart",["BartModel",Qg]],["mbart",["MBartModel",mI]],["marian",["MarianModel",ZQ]],["whisper",["WhisperModel",rt]],["m2m_100",["M2M100Model",eE]],["blenderbot",["BlenderbotModel",Sg]],["blenderbot-small",["BlenderbotSmallModel",WI]]]),O0=new Map([["mimi",["MimiModel",Sn]],["dac",["DacModel",kn]],["snac",["SnacModel",Un]]]),W0=new Map([["bloom",["BloomModel",aa]],["jais",["JAISModel",ft]],["gpt2",["GPT2Model",Ti]],["gptj",["GPTJModel",E]],["gpt_bigcode",["GPTBigCodeModel",Y]],["gpt_neo",["GPTNeoModel",Hi]],["gpt_neox",["GPTNeoXModel",Mt]],["codegen",["CodeGenModel",KA]],["llama",["LlamaModel",ne]],["arcee",["ArceeModel",Xe]],["lfm2",["Lfm2Model",wo]],["smollm3",["SmolLM3Model",Nr]],["exaone",["ExaoneModel",Kr]],["olmo",["OlmoModel",xr]],["olmo2",["Olmo2Model",Yr]],["mobilellm",["MobileLLMModel",Jr]],["granite",["GraniteModel",Pr]],["cohere",["CohereModel",qr]],["gemma",["GemmaModel",Wr]],["gemma2",["Gemma2Model",Vr]],["gemma3_text",["Gemma3Model",$r]],["helium",["HeliumModel",_r]],["glm",["GlmModel",kr]],["openelm",["OpenELMModel",Zr]],["qwen2",["Qwen2Model",ea]],["qwen3",["Qwen3Model",Ia]],["phi",["PhiModel",Ca]],["phi3",["Phi3Model",Ba]],["mpt",["MptModel",Ea]],["opt",["OPTModel",la]],["mistral",["MistralModel",UE]],["ernie4_5",["Ernie4_5_Model",bE]],["starcoder2",["Starcoder2Model",TE]],["falcon",["FalconModel",HE]],["stablelm",["StableLmModel",zE]],["modernbert-decoder",["ModernBertDecoderModel",tg]]]),ps=new Map([["speecht5",["SpeechT5ForSpeechToText",_E]],["whisper",["WhisperForConditionalGeneration",at]],["lite-whisper",["LiteWhisperForConditionalGeneration",so]],["moonshine",["MoonshineForConditionalGeneration",nt]]]),xn=new Map([["speecht5",["SpeechT5ForTextToSpeech",GE]]]),Tn=new Map([["vits",["VitsModel",ns]],["musicgen",["MusicgenForConditionalGeneration",hs]]]),Yn=new Map([["bert",["BertForSequenceClassification",MA]],["neobert",["NeoBertForSequenceClassification",HA]],["modernbert",["ModernBertForSequenceClassification",Ne]],["roformer",["RoFormerForSequenceClassification",xI]],["electra",["ElectraForSequenceClassification",rA]],["esm",["EsmForSequenceClassification",qA]],["convbert",["ConvBertForSequenceClassification",ke]],["camembert",["CamembertForSequenceClassification",Se]],["deberta",["DebertaForSequenceClassification",Ig]],["deberta-v2",["DebertaV2ForSequenceClassification",mg]],["mpnet",["MPNetForSequenceClassification",Ke]],["albert",["AlbertForSequenceClassification",ZA]],["distilbert",["DistilBertForSequenceClassification",dg]],["roberta",["RobertaForSequenceClassification",Xt]],["xlm",["XLMForSequenceClassification",Io]],["xlm-roberta",["XLMRobertaForSequenceClassification",Ct]],["bart",["BartForSequenceClassification",Vg]],["mbart",["MBartForSequenceClassification",dI]],["mobilebert",["MobileBertForSequenceClassification",iA]],["squeezebert",["SqueezeBertForSequenceClassification",DA]]]),Hn=new Map([["bert",["BertForTokenClassification",xA]],["neobert",["NeoBertForTokenClassification",zA]],["modernbert",["ModernBertForTokenClassification",Pe]],["roformer",["RoFormerForTokenClassification",pI]],["electra",["ElectraForTokenClassification",yA]],["esm",["EsmForTokenClassification",n]],["convbert",["ConvBertForTokenClassification",EI]],["camembert",["CamembertForTokenClassification",Te]],["deberta",["DebertaForTokenClassification",pg]],["deberta-v2",["DebertaV2ForTokenClassification",nI]],["mpnet",["MPNetForTokenClassification",aA]],["distilbert",["DistilBertForTokenClassification",Mg]],["roberta",["RobertaForTokenClassification",Zt]],["xlm",["XLMForTokenClassification",io]],["xlm-roberta",["XLMRobertaForTokenClassification",oo]]]),ys=new Map([["t5",["T5ForConditionalGeneration",Lg]],["longt5",["LongT5ForConditionalGeneration",ig]],["mt5",["MT5ForConditionalGeneration",Pg]],["bart",["BartForConditionalGeneration",Fg]],["mbart",["MBartForConditionalGeneration",Rg]],["marian",["MarianMTModel",AE]],["m2m_100",["M2M100ForConditionalGeneration",gE]],["blenderbot",["BlenderbotForConditionalGeneration",yg]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",_i]]]),fs=new Map([["bloom",["BloomForCausalLM",Qa]],["gpt2",["GPT2LMHeadModel",yt]],["jais",["JAISLMHeadModel",Qi]],["gptj",["GPTJForCausalLM",S]],["gpt_bigcode",["GPTBigCodeForCausalLM",j]],["gpt_neo",["GPTNeoForCausalLM",mt]],["gpt_neox",["GPTNeoXForCausalLM",Ft]],["codegen",["CodeGenForCausalLM",OA]],["llama",["LlamaForCausalLM",Re]],["arcee",["ArceeForCausalLM",Ug]],["lfm2",["Lfm2ForCausalLM",Sr]],["smollm3",["SmolLM3ForCausalLM",Rr]],["exaone",["ExaoneForCausalLM",Ur]],["olmo",["OlmoForCausalLM",Tr]],["olmo2",["Olmo2ForCausalLM",Hr]],["mobilellm",["MobileLLMForCausalLM",br]],["granite",["GraniteForCausalLM",vr]],["cohere",["CohereForCausalLM",Or]],["gemma",["GemmaForCausalLM",jr]],["gemma2",["Gemma2ForCausalLM",zr]],["gemma3_text",["Gemma3ForCausalLM",Xr]],["helium",["HeliumForCausalLM",Gr]],["glm",["GlmForCausalLM",Lr]],["openelm",["OpenELMForCausalLM",Aa]],["qwen2",["Qwen2ForCausalLM",ga]],["qwen3",["Qwen3ForCausalLM",ia]],["phi",["PhiForCausalLM",sa]],["phi3",["Phi3ForCausalLM",ra]],["mpt",["MptForCausalLM",na]],["opt",["OPTForCausalLM",ca]],["mbart",["MBartForCausalLM",Kg]],["mistral",["MistralForCausalLM",JE]],["ernie4_5",["Ernie4_5_ForCausalLM",xE]],["starcoder2",["Starcoder2ForCausalLM",YE]],["falcon",["FalconForCausalLM",PE]],["trocr",["TrOCRForCausalLM",KE]],["stablelm",["StableLmForCausalLM",$E]],["modernbert-decoder",["ModernBertDecoderForCausalLM",Og]],["phi3_v",["Phi3VForCausalLM",Ji]]]),j0=new Map([["multi_modality",["MultiModalityCausalLM",cn]]]),Pn=new Map([["bert",["BertForMaskedLM",kA]],["neobert",["NeoBertForMaskedLM",re]],["modernbert",["ModernBertForMaskedLM",se]],["roformer",["RoFormerForMaskedLM",bI]],["electra",["ElectraForMaskedLM",IA]],["esm",["EsmForMaskedLM",ve]],["convbert",["ConvBertForMaskedLM",xe]],["camembert",["CamembertForMaskedLM",Ie]],["deberta",["DebertaForMaskedLM",Wg]],["deberta-v2",["DebertaV2ForMaskedLM",oI]],["mpnet",["MPNetForMaskedLM",Ce]],["albert",["AlbertForMaskedLM",fe]],["distilbert",["DistilBertForMaskedLM",lI]],["roberta",["RobertaForMaskedLM",$t]],["xlm",["XLMWithLMHeadModel",go]],["xlm-roberta",["XLMRobertaForMaskedLM",ot]],["mobilebert",["MobileBertForMaskedLM",W]],["squeezebert",["SqueezeBertForMaskedLM",oA]]]),vn=new Map([["bert",["BertForQuestionAnswering",vA]],["neobert",["NeoBertForQuestionAnswering",Be]],["roformer",["RoFormerForQuestionAnswering",yI]],["electra",["ElectraForQuestionAnswering",JA]],["convbert",["ConvBertForQuestionAnswering",N]],["camembert",["CamembertForQuestionAnswering",wg]],["deberta",["DebertaForQuestionAnswering",iI]],["deberta-v2",["DebertaV2ForQuestionAnswering",CI]],["mpnet",["MPNetForQuestionAnswering",R]],["albert",["AlbertForQuestionAnswering",$A]],["distilbert",["DistilBertForQuestionAnswering",tI]],["roberta",["RobertaForQuestionAnswering",Ao]],["xlm",["XLMForQuestionAnswering",to]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Co]],["mobilebert",["MobileBertForQuestionAnswering",QA]],["squeezebert",["SqueezeBertForQuestionAnswering",GA]]]),ms=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",lt]],["idefics3",["Idefics3ForConditionalGeneration",Ki]],["smolvlm",["SmolVLMForConditionalGeneration",oi]]]),qn=new Map([["llava",["LlavaForConditionalGeneration",ki]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",Bo]],["moondream1",["Moondream1ForConditionalGeneration",ro]],["florence2",["Florence2ForConditionalGeneration",Qo]],["qwen2-vl",["Qwen2VLForConditionalGeneration",oa]],["idefics3",["Idefics3ForConditionalGeneration",Ki]],["smolvlm",["SmolVLMForConditionalGeneration",oi]],["paligemma",["PaliGemmaForConditionalGeneration",no]],["llava_qwen2",["LlavaQwen2ForCausalLM",ti]],["gemma3n",["Gemma3nForConditionalGeneration",Li]]]),On=new Map([["ultravox",["UltravoxModel",ws]],["voxtral",["VoxtralForConditionalGeneration",mn]]]),V0=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",lt]]]),Wn=new Map([["vit",["ViTForImageClassification",ha]],["ijepa",["IJepaForImageClassification",Da]],["pvt",["PvtForImageClassification",fa]],["vit_msn",["ViTMSNForImageClassification",Sa]],["fastvit",["FastViTForImageClassification",Ga]],["mobilevit",["MobileViTForImageClassification",Ua]],["mobilevitv2",["MobileViTV2ForImageClassification",ba]],["beit",["BeitForImageClassification",va]],["deit",["DeiTForImageClassification",sQ]],["hiera",["HieraForImageClassification",rQ]],["convnext",["ConvNextForImageClassification",bQ]],["convnextv2",["ConvNextV2ForImageClassification",TQ]],["dinov2",["Dinov2ForImageClassification",HQ]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",vQ]],["resnet",["ResNetForImageClassification",QQ]],["swin",["SwinForImageClassification",nQ]],["segformer",["SegformerForImageClassification",jE]],["efficientnet",["EfficientNetForImageClassification",ZE]],["mobilenet_v1",["MobileNetV1ForImageClassification",en]],["mobilenet_v2",["MobileNetV2ForImageClassification",tn]],["mobilenet_v3",["MobileNetV3ForImageClassification",sn]],["mobilenet_v4",["MobileNetV4ForImageClassification",an]]]),jn=new Map([["detr",["DetrForObjectDetection",Oa]],["rt_detr",["RTDetrForObjectDetection",Va]],["rt_detr_v2",["RTDetrV2ForObjectDetection",$a]],["rf_detr",["RFDetrForObjectDetection",AQ]],["d_fine",["DFineForObjectDetection",IQ]],["table-transformer",["TableTransformerForObjectDetection",tQ]],["yolos",["YolosForObjectDetection",jQ]]]),Vn=new Map([["owlvit",["OwlViTForObjectDetection",Ta]],["owlv2",["Owlv2ForObjectDetection",Ha]],["grounding-dino",["GroundingDinoForObjectDetection",OQ]]]),Oi=new Map([["detr",["DetrForSegmentation",HC]],["clipseg",["CLIPSegForImageSegmentation",pt]]]),zn=new Map([["segformer",["SegformerForSemanticSegmentation",VE]],["sapiens",["SapiensForSemanticSegmentation",pQ]],["swin",["SwinForSemanticSegmentation",lQ]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",gn]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",on]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",Bn]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",Qn]]]),$n=new Map([["detr",["DetrForSegmentation",HC]],["maskformer",["MaskFormerForInstanceSegmentation",GQ]]]),Xn=new Map([["sam",["SamModel",$Q]]]),Zn=new Map([["wav2vec2",["Wav2Vec2ForCTC",iE]],["wav2vec2-bert",["Wav2Vec2BertForCTC",uE]],["unispeech",["UniSpeechForCTC",QE]],["unispeech-sat",["UniSpeechSatForCTC",lE]],["wavlm",["WavLMForCTC",mE]],["hubert",["HubertForCTC",pE]]]),Al=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",tE]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",DE]],["unispeech",["UniSpeechForSequenceClassification",EE]],["unispeech-sat",["UniSpeechSatForSequenceClassification",cE]],["wavlm",["WavLMForSequenceClassification",ME]],["hubert",["HubertForSequenceClassification",yE]],["audio-spectrogram-transformer",["ASTForAudioClassification",zI]]]),el=new Map([["wavlm",["WavLMForXVector",FE]]]),gl=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",dE]],["wavlm",["WavLMForAudioFrameClassification",SE]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",oE]],["pyannote",["PyAnnoteForAudioFrameClassification",sE]]]),Il=new Map([["vitmatte",["VitMatteForImageMatting",La]]]),z0=new Map([["patchtst",["PatchTSTForPrediction",wn]],["patchtsmixer",["PatchTSMixerForPrediction",yn]]]),il=new Map([["swin2sr",["Swin2SRForImageSuperResolution",dQ]]]),tl=new Map([["dpt",["DPTForDepthEstimation",uQ]],["depth_anything",["DepthAnythingForDepthEstimation",wQ]],["glpn",["GLPNForDepthEstimation",LQ]],["sapiens",["SapiensForDepthEstimation",yQ]],["depth_pro",["DepthProForDepthEstimation",MQ]],["metric3d",["Metric3DForDepthEstimation",SQ]],["metric3dv2",["Metric3Dv2ForDepthEstimation",RQ]]]),ol=new Map([["sapiens",["SapiensForNormalEstimation",fQ]]]),Cl=new Map([["vitpose",["VitPoseForPoseEstimation",pa]]]),sl=new Map([["clip",["CLIPVisionModelWithProjection",uo]],["siglip",["SiglipVisionModel",ue]],["jina_clip",["JinaCLIPVisionModel",ri]]]),Bl=[[v0,h.EncoderOnly],[q0,h.EncoderDecoder],[W0,h.DecoderOnly],[O0,h.AutoEncoder],[Yn,h.EncoderOnly],[Hn,h.EncoderOnly],[ys,h.Seq2Seq],[ps,h.Seq2Seq],[fs,h.DecoderOnly],[j0,h.MultiModality],[Pn,h.EncoderOnly],[vn,h.EncoderOnly],[ms,h.Vision2Seq],[qn,h.ImageTextToText],[On,h.AudioTextToText],[Wn,h.EncoderOnly],[Oi,h.EncoderOnly],[$n,h.EncoderOnly],[zn,h.EncoderOnly],[Il,h.EncoderOnly],[z0,h.EncoderOnly],[il,h.EncoderOnly],[tl,h.EncoderOnly],[ol,h.EncoderOnly],[Cl,h.EncoderOnly],[jn,h.EncoderOnly],[Vn,h.EncoderOnly],[Xn,h.MaskGeneration],[Zn,h.EncoderOnly],[Al,h.EncoderOnly],[xn,h.Seq2Seq],[Tn,h.EncoderOnly],[el,h.EncoderOnly],[gl,h.EncoderOnly],[sl,h.EncoderOnly]];for(const[w,p]of Bl)for(const[q,EA]of w.values())y.set(q,p),m.set(EA,q),M.set(q,EA);const $0=[["MusicgenForConditionalGeneration",hs,h.Musicgen],["Phi3VForCausalLM",Ji,h.Phi3V],["CLIPTextModelWithProjection",ht,h.EncoderOnly],["SiglipTextModel",Ci,h.EncoderOnly],["JinaCLIPTextModel",BI,h.EncoderOnly],["ClapTextModelWithProjection",qE,h.EncoderOnly],["ClapAudioModelWithProjection",OE,h.EncoderOnly],["DacEncoderModel",Ln,h.EncoderOnly],["DacDecoderModel",Kn,h.EncoderOnly],["MimiEncoderModel",Nn,h.EncoderOnly],["MimiDecoderModel",Rn,h.EncoderOnly],["SnacEncoderModel",Jn,h.EncoderOnly],["SnacDecoderModel",bn,h.EncoderOnly],["Gemma3nForConditionalGeneration",Li,h.ImageAudioTextToText]];for(const[w,p,q]of $0)y.set(w,q),m.set(p,w),M.set(w,p);const rl=new Map([["modnet",Oi],["birefnet",Oi],["isnet",Oi],["ben",Oi]]);for(const[w,p]of rl.entries())p.set(w,["PreTrainedModel",V]),y.set(w,h.EncoderOnly),m.set(V,w),M.set(w,V);class X0 extends Ze{static MODEL_CLASS_MAPPINGS=Bl.map(p=>p[0]);static BASE_IF_FAIL=!0}class Z0 extends Ze{static MODEL_CLASS_MAPPINGS=[Yn]}class Ap extends Ze{static MODEL_CLASS_MAPPINGS=[Hn]}class ep extends Ze{static MODEL_CLASS_MAPPINGS=[ys]}class gp extends Ze{static MODEL_CLASS_MAPPINGS=[ps]}class Ip extends Ze{static MODEL_CLASS_MAPPINGS=[xn]}class ip extends Ze{static MODEL_CLASS_MAPPINGS=[Tn]}class tp extends Ze{static MODEL_CLASS_MAPPINGS=[fs]}class op extends Ze{static MODEL_CLASS_MAPPINGS=[Pn]}class Cp extends Ze{static MODEL_CLASS_MAPPINGS=[vn]}class sp extends Ze{static MODEL_CLASS_MAPPINGS=[ms]}class Bp extends Ze{static MODEL_CLASS_MAPPINGS=[Wn]}class rp extends Ze{static MODEL_CLASS_MAPPINGS=[Oi]}class ap extends Ze{static MODEL_CLASS_MAPPINGS=[zn]}class Qp extends Ze{static MODEL_CLASS_MAPPINGS=[$n]}class Ep extends Ze{static MODEL_CLASS_MAPPINGS=[jn]}class np extends Ze{static MODEL_CLASS_MAPPINGS=[Vn]}class lp extends Ze{static MODEL_CLASS_MAPPINGS=[Xn]}class cp extends Ze{static MODEL_CLASS_MAPPINGS=[Zn]}class dp extends Ze{static MODEL_CLASS_MAPPINGS=[Al]}class hp extends Ze{static MODEL_CLASS_MAPPINGS=[el]}class up extends Ze{static MODEL_CLASS_MAPPINGS=[gl]}class Dp extends Ze{static MODEL_CLASS_MAPPINGS=[V0]}class wp extends Ze{static MODEL_CLASS_MAPPINGS=[Il]}class pp extends Ze{static MODEL_CLASS_MAPPINGS=[il]}class yp extends Ze{static MODEL_CLASS_MAPPINGS=[tl]}class fp extends Ze{static MODEL_CLASS_MAPPINGS=[ol]}class mp extends Ze{static MODEL_CLASS_MAPPINGS=[Cl]}class Mp extends Ze{static MODEL_CLASS_MAPPINGS=[sl]}class Fp extends Ze{static MODEL_CLASS_MAPPINGS=[qn]}class Sp extends Ze{static MODEL_CLASS_MAPPINGS=[On]}class Np extends fA{constructor({logits:p,past_key_values:q,encoder_outputs:EA,decoder_attentions:wA=null,cross_attentions:mA=null}){super(),this.logits=p,this.past_key_values=q,this.encoder_outputs=EA,this.decoder_attentions=wA,this.cross_attentions=mA}}class _e extends fA{constructor({logits:p,...q}){super(),this.logits=p;const EA=Object.values(q);EA.length>0&&(this.attentions=EA)}}class al extends fA{constructor({logits:p,embeddings:q}){super(),this.logits=p,this.embeddings=q}}class Jg extends fA{constructor({logits:p}){super(),this.logits=p}}class Tg extends fA{constructor({logits:p}){super(),this.logits=p}}class qg extends fA{constructor({start_logits:p,end_logits:q}){super(),this.start_logits=p,this.end_logits=q}}class ni extends fA{constructor({logits:p}){super(),this.logits=p}}class Rp extends fA{constructor({logits:p,past_key_values:q}){super(),this.logits=p,this.past_key_values=q}}class Ql extends fA{constructor({alphas:p}){super(),this.alphas=p}}class El extends fA{constructor({waveform:p,spectrogram:q}){super(),this.waveform=p,this.spectrogram=q}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(A,g,e)=>{e.r(g),e.d(g,{ASTFeatureExtractor:()=>t});var I=e("./src/base/feature_extraction_utils.js");e("./src/utils/tensor.js");var i=e("./src/utils/audio.js");class t extends I.FeatureExtractor{constructor(o){super(o);const s=this.config.sampling_rate,B=(0,i.mel_filter_bank)(257,this.config.num_mel_bins,20,Math.floor(s/2),s,null,"kaldi",!0);this.mel_filters=B,this.window=(0,i.window_function)(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(o,s){return(0,i.spectrogram)(o,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:s,transpose:!0})}async _call(o){(0,I.validate_audio_inputs)(o,"ASTFeatureExtractor");const s=await this._extract_fbank_features(o,this.config.max_length);if(this.config.do_normalize){const B=this.std*2,Q=s.data;for(let a=0;a<Q.length;++a)Q[a]=(Q[a]-this.mean)/B}return{input_values:s.unsqueeze_(0)}}}},"./src/models/auto/feature_extraction_auto.js":(A,g,e)=>{e.r(g),e.d(g,{AutoFeatureExtractor:()=>C});var I=e("./src/utils/constants.js"),i=e("./src/utils/hub.js");e("./src/base/feature_extraction_utils.js");var t=e("./src/models/feature_extractors.js");class C{static async from_pretrained(s,B={}){const Q=await(0,i.getModelJSON)(s,I.FEATURE_EXTRACTOR_NAME,!0,B),a=Q.feature_extractor_type,r=t[a];if(!r)throw new Error(`Unknown feature_extractor_type: '${a}'. Please report this at ${I.GITHUB_ISSUE_URL}.`);return new r(Q)}}},"./src/models/auto/image_processing_auto.js":(A,g,e)=>{e.r(g),e.d(g,{AutoImageProcessor:()=>o});var I=e("./src/utils/constants.js"),i=e("./src/utils/hub.js"),t=e("./src/base/image_processors_utils.js"),C=e("./src/models/image_processors.js");class o{static async from_pretrained(B,Q={}){const a=await(0,i.getModelJSON)(B,I.IMAGE_PROCESSOR_NAME,!0,Q),r=a.image_processor_type??a.feature_extractor_type;let d=C[r?.replace(/Fast$/,"")];return d||(r!==void 0&&console.warn(`Image processor type '${r}' not found, assuming base ImageProcessor. Please report this at ${I.GITHUB_ISSUE_URL}.`),d=t.ImageProcessor),new d(a)}}},"./src/models/auto/processing_auto.js":(A,g,e)=>{e.r(g),e.d(g,{AutoProcessor:()=>B});var I=e("./src/utils/constants.js"),i=e("./src/utils/hub.js"),t=e("./src/base/processing_utils.js"),C=e("./src/models/processors.js"),o=e("./src/models/image_processors.js"),s=e("./src/models/feature_extractors.js");class B{static async from_pretrained(a,r={}){const d=await(0,i.getModelJSON)(a,I.IMAGE_PROCESSOR_NAME,!0,r),{image_processor_type:c,feature_extractor_type:f,processor_class:k}=d;if(k&&C[k])return C[k].from_pretrained(a,r);if(!c&&!f)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const u={};if(c){const G=o[c.replace(/Fast$/,"")];if(!G)throw new Error(`Unknown image_processor_type: '${c}'.`);u.image_processor=new G(d)}if(f){const G=o[f];if(G)u.image_processor=new G(d);else{const h=s[f];if(!h)throw new Error(`Unknown feature_extractor_type: '${f}'.`);u.feature_extractor=new h(d)}}const D={};return new t.Processor(D,u,null)}}},"./src/models/beit/image_processing_beit.js":(A,g,e)=>{e.r(g),e.d(g,{BeitFeatureExtractor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(A,g,e)=>{e.r(g),e.d(g,{BitImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(A,g,e)=>{e.r(g),e.d(g,{ChineseCLIPFeatureExtractor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(A,g,e)=>{e.r(g),e.d(g,{ClapFeatureExtractor:()=>t});var I=e("./src/base/feature_extraction_utils.js");e("./src/utils/tensor.js");var i=e("./src/utils/audio.js");class t extends I.FeatureExtractor{constructor(o){super(o),this.mel_filters=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(o,s,B,Q){let a;const r=o.length-s;if(r>0)if(B==="rand_trunc"){const d=Math.floor(Math.random()*(r+1));o=o.subarray(d,d+s),a=await this._extract_fbank_features(o,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${B}" not implemented`);else{if(r<0){let d=new Float64Array(s);if(d.set(o),Q==="repeat")for(let c=o.length;c<s;c+=o.length)d.set(o.subarray(0,Math.min(o.length,s-c)),c);else if(Q==="repeatpad")for(let c=o.length;c<-r;c+=o.length)d.set(o,c);o=d}if(B==="fusion")throw new Error(`Truncation strategy "${B}" not implemented`);a=await this._extract_fbank_features(o,this.mel_filters_slaney,this.config.nb_max_samples)}return a.unsqueeze_(0)}async _extract_fbank_features(o,s,B=null){return(0,i.spectrogram)(o,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:s,log_mel:"dB",max_num_frames:B,do_pad:!1,transpose:!0})}async _call(o,{max_length:s=null}={}){return(0,I.validate_audio_inputs)(o,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(o,s??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}},"./src/models/clip/image_processing_clip.js":(A,g,e)=>{e.r(g),e.d(g,{CLIPFeatureExtractor:()=>t,CLIPImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/convnext/image_processing_convnext.js":(A,g,e)=>{e.r(g),e.d(g,{ConvNextFeatureExtractor:()=>t,ConvNextImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{constructor(o){super(o),this.crop_pct=this.config.crop_pct??224/256}async resize(o){const s=this.size?.shortest_edge;if(s===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(s<384){const B=Math.floor(s/this.crop_pct),[Q,a]=this.get_resize_output_image_size(o,{shortest_edge:B});o=await o.resize(Q,a,{resample:this.resample}),o=await o.center_crop(s,s)}else o=await o.resize(s,s,{resample:this.resample});return o}}class t extends i{}},"./src/models/dac/feature_extraction_dac.js":(A,g,e)=>{e.r(g),e.d(g,{DacFeatureExtractor:()=>i});var I=e("./src/models/encodec/feature_extraction_encodec.js");class i extends I.EncodecFeatureExtractor{}},"./src/models/deit/image_processing_deit.js":(A,g,e)=>{e.r(g),e.d(g,{DeiTFeatureExtractor:()=>t,DeiTImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/detr/image_processing_detr.js":(A,g,e)=>{e.r(g),e.d(g,{DetrFeatureExtractor:()=>C,DetrImageProcessor:()=>t});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");class t extends I.ImageProcessor{async _call(s){const B=await super._call(s),Q=[B.pixel_values.dims[0],64,64],a=(0,i.full)(Q,1n);return{...B,pixel_mask:a}}post_process_object_detection(...s){return(0,I.post_process_object_detection)(...s)}post_process_panoptic_segmentation(...s){return(0,I.post_process_panoptic_segmentation)(...s)}post_process_instance_segmentation(...s){return(0,I.post_process_instance_segmentation)(...s)}}class C extends t{}},"./src/models/donut/image_processing_donut.js":(A,g,e)=>{e.r(g),e.d(g,{DonutFeatureExtractor:()=>t,DonutImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{pad_image(o,s,B,Q={}){const[a,r,d]=s;let c=this.image_mean;Array.isArray(this.image_mean)||(c=new Array(d).fill(c));let f=this.image_std;Array.isArray(f)||(f=new Array(d).fill(c));const k=c.map((u,D)=>-u/f[D]);return super.pad_image(o,s,B,{center:!0,constant_values:k,...Q})}}class t extends i{}},"./src/models/dpt/image_processing_dpt.js":(A,g,e)=>{e.r(g),e.d(g,{DPTFeatureExtractor:()=>t,DPTImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/efficientnet/image_processing_efficientnet.js":(A,g,e)=>{e.r(g),e.d(g,{EfficientNetImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{constructor(C){super(C),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(o=>o*o))}}},"./src/models/encodec/feature_extraction_encodec.js":(A,g,e)=>{e.r(g),e.d(g,{EncodecFeatureExtractor:()=>t});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js");class t extends I.FeatureExtractor{async _call(o){(0,I.validate_audio_inputs)(o,"EncodecFeatureExtractor"),o instanceof Float64Array&&(o=new Float32Array(o));const s=this.config.feature_size;if(o.length%s!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${s}).`);const B=[1,s,o.length/s];return{input_values:new i.Tensor("float32",o,B)}}}},"./src/models/feature_extractors.js":(A,g,e)=>{e.r(g),e.d(g,{ASTFeatureExtractor:()=>I.ASTFeatureExtractor,ClapFeatureExtractor:()=>t.ClapFeatureExtractor,DacFeatureExtractor:()=>C.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,Gemma3nAudioFeatureExtractor:()=>o.Gemma3nAudioFeatureExtractor,ImageFeatureExtractor:()=>k.ImageProcessor,MoonshineFeatureExtractor:()=>s.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>B.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>Q.SeamlessM4TFeatureExtractor,SnacFeatureExtractor:()=>a.SnacFeatureExtractor,SpeechT5FeatureExtractor:()=>r.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>d.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>c.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>f.WhisperFeatureExtractor});var I=e("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),i=e("./src/models/encodec/feature_extraction_encodec.js"),t=e("./src/models/clap/feature_extraction_clap.js"),C=e("./src/models/dac/feature_extraction_dac.js"),o=e("./src/models/gemma3n/feature_extraction_gemma3n.js"),s=e("./src/models/moonshine/feature_extraction_moonshine.js"),B=e("./src/models/pyannote/feature_extraction_pyannote.js"),Q=e("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),a=e("./src/models/snac/feature_extraction_snac.js"),r=e("./src/models/speecht5/feature_extraction_speecht5.js"),d=e("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),c=e("./src/models/wespeaker/feature_extraction_wespeaker.js"),f=e("./src/models/whisper/feature_extraction_whisper.js"),k=e("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(A,g,e)=>{e.r(g),e.d(g,{Florence2Processor:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class C extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;constructor(s,B,Q){super(s,B,Q);const{tasks_answer_post_processing_type:a,task_prompts_without_inputs:r,task_prompts_with_input:d}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(a??{})),this.task_prompts_without_inputs=new Map(Object.entries(r??{})),this.task_prompts_with_input=new Map(Object.entries(d??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(s){typeof s=="string"&&(s=[s]);const B=[];for(const Q of s)if(this.task_prompts_without_inputs.has(Q))B.push(this.task_prompts_without_inputs.get(Q));else{for(const[a,r]of this.task_prompts_with_input)if(Q.includes(a)){B.push(r.replaceAll("{input}",Q).replaceAll(a,""));break}B.length!==s.length&&B.push(Q)}return B}post_process_generation(s,B,Q){const a=this.tasks_answer_post_processing_type.get(B)??"pure_text";s=s.replaceAll("<s>","").replaceAll("</s>","");let r;switch(a){case"pure_text":r=s;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const d=a==="ocr"?"quad_boxes":"bboxes",c=s.matchAll(this.regexes[d]),f=[],k=[];for(const[u,D,...G]of c)f.push(D?D.trim():f.at(-1)??""),k.push(G.map((h,y)=>(Number(h)+.5)/this.size_per_bin*Q[y%2]));r={labels:f,[d]:k};break;default:throw new Error(`Task "${B}" (of type "${a}") not yet implemented.`)}return{[B]:r}}async _call(s,B=null,Q={}){if(!s&&!B)throw new Error("Either text or images must be provided");const a=await this.image_processor(s,Q),r=B?this.tokenizer(this.construct_prompts(B),Q):{};return{...a,...r}}}},"./src/models/gemma3n/feature_extraction_gemma3n.js":(A,g,e)=>{e.r(g),e.d(g,{Gemma3nAudioFeatureExtractor:()=>C});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js"),t=e("./src/utils/audio.js");class C extends I.FeatureExtractor{constructor(s){super(s);const{fft_length:B,feature_size:Q,min_frequency:a,max_frequency:r,sampling_rate:d,frame_length:c}=this.config,f=(0,t.mel_filter_bank)(Math.floor(1+B/2),Q,a,r,d,null,"htk",!1);this.mel_filters=f,this.window=(0,t.window_function)(c,"hann")}async _extract_fbank_features(s,B){return(0,t.spectrogram)(s,this.window,this.config.frame_length,this.config.hop_length,{fft_length:this.config.fft_length,center:!1,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:"log",mel_floor:this.config.mel_floor,remove_dc_offset:!1,transpose:!0})}async _call(s,{max_length:B=48e4,truncation:Q=!0,padding:a=!0,pad_to_multiple_of:r=128}={}){if((0,I.validate_audio_inputs)(s,"Gemma3nAudioFeatureExtractor"),Q&&s.length>B&&(s=s.slice(0,B)),a&&s.length%r!==0){const f=r-s.length%r,k=new Float64Array(s.length+f);k.set(s),this.config.padding_value!==0&&k.fill(this.config.padding_value,s.length),s=k}const d=await this._extract_fbank_features(s,this.config.max_length),c=(0,i.full)([1,d.dims[0]],!0);return{input_features:d.unsqueeze_(0),input_features_mask:c}}}},"./src/models/gemma3n/processing_gemma3n.js":(A,g,e)=>{e.r(g),e.d(g,{Gemma3nProcessor:()=>o});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/models/auto/feature_extraction_auto.js"),C=e("./src/tokenizers.js");e("./src/utils/image.js"),e("./src/utils/audio.js");class o extends I.Processor{static image_processor_class=i.AutoImageProcessor;static feature_extractor_class=t.AutoFeatureExtractor;static tokenizer_class=C.AutoTokenizer;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(B,Q,a){super(B,Q,a),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;const{audio_token_id:r,boa_token:d,audio_token:c,eoa_token:f,image_token_id:k,boi_token:u,image_token:D,eoi_token:G}=this.tokenizer.config;this.audio_token_id=r,this.boa_token=d,this.audio_token=c;const h=c.repeat(this.audio_seq_length);this.full_audio_sequence=`

${d}${h}${f}

`,this.image_token_id=k,this.boi_token=u,this.image_token=D;const y=D.repeat(this.image_seq_length);this.full_image_sequence=`

${u}${y}${G}

`}async _call(B,Q=null,a=null,r={}){typeof B=="string"&&(B=[B]);let d;a&&(d=await this.feature_extractor(a,r),B=B.map(k=>k.replaceAll(this.audio_token,this.full_audio_sequence)));let c;return Q&&(c=await this.image_processor(Q,r),B=B.map(k=>k.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(B,r),...c,...d}}}},"./src/models/glpn/image_processing_glpn.js":(A,g,e)=>{e.r(g),e.d(g,{GLPNFeatureExtractor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/grounding_dino/image_processing_grounding_dino.js":(A,g,e)=>{e.r(g),e.d(g,{GroundingDinoImageProcessor:()=>t});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");class t extends I.ImageProcessor{async _call(o){const s=await super._call(o),B=s.pixel_values.dims,Q=(0,i.ones)([B[0],B[2],B[3]]);return{...s,pixel_mask:Q}}}},"./src/models/grounding_dino/processing_grounding_dino.js":(A,g,e)=>{e.r(g),e.d(g,{GroundingDinoProcessor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),C=e("./src/base/image_processors_utils.js");function o(B,Q){const r=B.dims.at(-1)-1,d=B.tolist();d.fill(!1,0,1),d.fill(!1,r);const c=Q.tolist();return d.map((f,k)=>f?k:null).filter(f=>f!==null).map(f=>c[f])}class s extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;async _call(Q,a,r={}){const d=Q?await this.image_processor(Q,r):{};return{...a?this.tokenizer(a,r):{},...d}}post_process_grounded_object_detection(Q,a,{box_threshold:r=.25,text_threshold:d=.25,target_sizes:c=null}={}){const{logits:f,pred_boxes:k}=Q,u=f.dims[0];if(c!==null&&c.length!==u)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const D=f.dims.at(1),G=f.sigmoid(),h=G.max(-1).tolist(),y=k.tolist().map(m=>m.map(_=>(0,C.center_to_corners_format)(_))),M=[];for(let m=0;m<u;++m){const _=c!==null?c[m]:null;_!==null&&(y[m]=y[m].map(T=>T.map((CA,eA)=>CA*_[(eA+1)%2])));const x=h[m],b=[],X=[],Z=[];for(let T=0;T<D;++T){const CA=x[T];if(CA<=r)continue;const eA=y[m][T],tA=G[m][T];b.push(CA),Z.push(eA);const BA=o(tA.gt(d),a[m]);X.push(BA)}M.push({scores:b,boxes:Z,labels:this.batch_decode(X)})}return M}}},"./src/models/idefics3/image_processing_idefics3.js":(A,g,e)=>{e.r(g),e.d(g,{Idefics3ImageProcessor:()=>t});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");class t extends I.ImageProcessor{constructor(o){super(o),this.do_image_splitting=o.do_image_splitting??!0,this.max_image_size=o.max_image_size}get_resize_for_vision_encoder(o,s){let[B,Q]=o.dims.slice(-2);const a=Q/B;return Q>=B?(Q=Math.ceil(Q/s)*s,B=Math.floor(Q/a),B=Math.ceil(B/s)*s):(B=Math.ceil(B/s)*s,Q=Math.floor(B*a),Q=Math.ceil(Q/s)*s),{height:B,width:Q}}async _call(o,{do_image_splitting:s=null,return_row_col_info:B=!1}={}){let Q;if(!Array.isArray(o))Q=[[o]];else{if(o.length===0||!o[0])throw new Error("No images provided.");Array.isArray(o[0])?Q=o:Q=[o]}let a=[],r=[],d=[];const c=[],f=[];for(const m of Q){let _=await Promise.all(m.map(X=>this.preprocess(X)));c.push(..._.map(X=>X.original_size)),f.push(..._.map(X=>X.reshaped_input_size)),_.forEach(X=>X.pixel_values.unsqueeze_(0));const{longest_edge:x}=this.max_image_size;let b;if(s??this.do_image_splitting){let X=new Array(_.length),Z=new Array(_.length);b=await Promise.all(_.map(async(T,CA)=>{const eA=this.get_resize_for_vision_encoder(T.pixel_values,x),tA=await(0,i.interpolate_4d)(T.pixel_values,{size:[eA.height,eA.width]}),{frames:BA,num_splits_h:sA,num_splits_w:cA}=await this.split_image(tA,this.max_image_size);return X[CA]=sA,Z[CA]=cA,(0,i.cat)(BA,0)})),r.push(X),d.push(Z)}else{const X=[x,x];b=await Promise.all(_.map(Z=>(0,i.interpolate_4d)(Z.pixel_values,{size:X}))),r.push(new Array(_.length).fill(0)),d.push(new Array(_.length).fill(0))}a.push((0,i.cat)(b,0))}const k=a.length,[u,D,G,h]=a[0].dims;let y,M;if(k===1)y=a[0].unsqueeze_(0),M=(0,i.full)([k,u,G,h],!0);else{const m=Math.max(...a.map(b=>b.dims.at(0)));M=(0,i.full)([k,m,G,h],!0);const _=M.data,x=m*G*h;for(let b=0;b<k;++b){const X=a[b].dims[0];if(X<m){a[b]=(0,i.cat)([a[b],(0,i.full)([m-X,D,G,h],0)],0);const Z=b*x+X*G*h,T=(b+1)*x;_.fill(!1,Z,T)}}y=(0,i.stack)(a,0)}return{pixel_values:y,pixel_attention_mask:M,original_sizes:c,reshaped_input_sizes:f,...B?{rows:r,cols:d}:{}}}async split_image(o,{longest_edge:s}){const B=s,Q=s,a=[],[r,d]=o.dims.slice(-2);let c=0,f=0;if(r>B||d>Q){c=Math.ceil(r/B),f=Math.ceil(d/Q);const k=Math.ceil(r/c),u=Math.ceil(d/f);for(let h=0;h<c;++h)for(let y=0;y<f;++y){let M,m,_,x;h===c-1?(m=r-k,x=r):(m=h*k,x=(h+1)*k),y===f-1?(M=d-u,_=d):(M=y*u,_=(y+1)*u);const b=[m,M],X=[x,_],Z=await(0,i.slice)(o,b,X,[2,3]);a.push(Z)}const D=B,G=Q;(r!==D||d!==G)&&(o=await(0,i.interpolate_4d)(o,{size:[D,G]}))}return a.push(o),{frames:a,num_splits_h:c,num_splits_w:f}}}},"./src/models/idefics3/processing_idefics3.js":(A,g,e)=>{e.r(g),e.d(g,{Idefics3Processor:()=>Q});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");e("./src/utils/image.js");var C=e("./src/utils/core.js");function o(a,r,d,c,f,k){let u="";for(let D=0;D<r;++D){for(let G=0;G<d;++G)u+=c+`<row_${D+1}_col_${G+1}>`+f.repeat(a);u+=`
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${c}${k}`+f.repeat(a)+`${c}`,u}function s(a,r,d,c){return`${r}${c}`+d.repeat(a)+`${r}`}function B(a,r,d,c,f,k){return a===0&&r===0?s(d,c,f,k):o(d,a,r,c,f,k)}class Q extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;static uses_processor_config=!0;fake_image_token="<fake_token_around_image>";image_token="<image>";global_img_token="<global-img>";async _call(r,d=null,c={}){c.return_row_col_info??=!0;let f;d&&(f=await this.image_processor(d,c)),Array.isArray(r)||(r=[r]);const k=f.rows??[new Array(r.length).fill(0)],u=f.cols??[new Array(r.length).fill(0)],D=this.config.image_seq_len,G=[],h=[];for(let M=0;M<r.length;++M){const m=r[M],_=k[M],x=u[M];G.push((0,C.count)(m,this.image_token));const b=_.map((T,CA)=>B(T,x[CA],D,this.fake_image_token,this.image_token,this.global_img_token)),X=m.split(this.image_token);if(X.length===0)throw new Error("The image token should be present in the text.");let Z=X[0];for(let T=0;T<b.length;++T)Z+=b[T]+X[T+1];h.push(Z)}return{...this.tokenizer(h),...f}}}},"./src/models/image_processors.js":(A,g,e)=>{e.r(g),e.d(g,{BeitFeatureExtractor:()=>I.BeitFeatureExtractor,BitImageProcessor:()=>i.BitImageProcessor,CLIPFeatureExtractor:()=>C.CLIPFeatureExtractor,CLIPImageProcessor:()=>C.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>t.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>o.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>o.ConvNextImageProcessor,DPTFeatureExtractor:()=>a.DPTFeatureExtractor,DPTImageProcessor:()=>a.DPTImageProcessor,DeiTFeatureExtractor:()=>s.DeiTFeatureExtractor,DeiTImageProcessor:()=>s.DeiTImageProcessor,DetrFeatureExtractor:()=>B.DetrFeatureExtractor,DetrImageProcessor:()=>B.DetrImageProcessor,DonutFeatureExtractor:()=>Q.DonutFeatureExtractor,DonutImageProcessor:()=>Q.DonutImageProcessor,EfficientNetImageProcessor:()=>r.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>d.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>c.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>f.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>u.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>D.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>G.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>h.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>h.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>y.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>y.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>M.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>M.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>m.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>m.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>_.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>_.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>x.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>x.MobileViTImageProcessor,NougatImageProcessor:()=>b.NougatImageProcessor,OwlViTFeatureExtractor:()=>Z.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>Z.OwlViTImageProcessor,Owlv2ImageProcessor:()=>X.Owlv2ImageProcessor,Phi3VImageProcessor:()=>T.Phi3VImageProcessor,PvtImageProcessor:()=>CA.PvtImageProcessor,Qwen2VLImageProcessor:()=>eA.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>tA.RTDetrImageProcessor,SamImageProcessor:()=>BA.SamImageProcessor,SegformerFeatureExtractor:()=>sA.SegformerFeatureExtractor,SegformerImageProcessor:()=>sA.SegformerImageProcessor,SiglipImageProcessor:()=>cA.SiglipImageProcessor,SmolVLMImageProcessor:()=>dA.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>P.Swin2SRImageProcessor,VLMImageProcessor:()=>k.VLMImageProcessor,ViTFeatureExtractor:()=>U.ViTFeatureExtractor,ViTImageProcessor:()=>U.ViTImageProcessor,VitMatteImageProcessor:()=>z.VitMatteImageProcessor,VitPoseImageProcessor:()=>v.VitPoseImageProcessor,YolosFeatureExtractor:()=>nA.YolosFeatureExtractor,YolosImageProcessor:()=>nA.YolosImageProcessor});var I=e("./src/models/beit/image_processing_beit.js"),i=e("./src/models/bit/image_processing_bit.js"),t=e("./src/models/chinese_clip/image_processing_chinese_clip.js"),C=e("./src/models/clip/image_processing_clip.js"),o=e("./src/models/convnext/image_processing_convnext.js"),s=e("./src/models/deit/image_processing_deit.js"),B=e("./src/models/detr/image_processing_detr.js"),Q=e("./src/models/donut/image_processing_donut.js"),a=e("./src/models/dpt/image_processing_dpt.js"),r=e("./src/models/efficientnet/image_processing_efficientnet.js"),d=e("./src/models/glpn/image_processing_glpn.js"),c=e("./src/models/grounding_dino/image_processing_grounding_dino.js"),f=e("./src/models/idefics3/image_processing_idefics3.js"),k=e("./src/models/janus/image_processing_janus.js"),u=e("./src/models/jina_clip/image_processing_jina_clip.js"),D=e("./src/models/llava_onevision/image_processing_llava_onevision.js"),G=e("./src/models/mask2former/image_processing_mask2former.js"),h=e("./src/models/maskformer/image_processing_maskformer.js"),y=e("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),M=e("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),m=e("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),_=e("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),x=e("./src/models/mobilevit/image_processing_mobilevit.js"),b=e("./src/models/nougat/image_processing_nougat.js"),X=e("./src/models/owlv2/image_processing_owlv2.js"),Z=e("./src/models/owlvit/image_processing_owlvit.js"),T=e("./src/models/phi3_v/image_processing_phi3_v.js"),CA=e("./src/models/pvt/image_processing_pvt.js"),eA=e("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),tA=e("./src/models/rt_detr/image_processing_rt_detr.js"),BA=e("./src/models/sam/image_processing_sam.js"),sA=e("./src/models/segformer/image_processing_segformer.js"),cA=e("./src/models/siglip/image_processing_siglip.js"),dA=e("./src/models/smolvlm/image_processing_smolvlm.js"),P=e("./src/models/swin2sr/image_processing_swin2sr.js"),U=e("./src/models/vit/image_processing_vit.js"),z=e("./src/models/vitmatte/image_processing_vitmatte.js"),v=e("./src/models/vitpose/image_processing_vitpose.js"),nA=e("./src/models/yolos/image_processing_yolos.js")},"./src/models/janus/image_processing_janus.js":(A,g,e)=>{e.r(g),e.d(g,{VLMImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{constructor(C){super({do_pad:!0,pad_size:{width:C.image_size,height:C.image_size},...C}),this.constant_values=this.config.background_color.map(o=>o*this.rescale_factor)}pad_image(C,o,s,B){return super.pad_image(C,o,s,{constant_values:this.constant_values,center:!0,...B})}}},"./src/models/janus/processing_janus.js":(A,g,e)=>{e.r(g),e.d(g,{VLChatProcessor:()=>B});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),C=e("./src/utils/core.js"),o=e("./src/utils/tensor.js"),s=e("./src/utils/image.js");class B extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;static uses_processor_config=!0;constructor(a,r,d){super(a,r,d),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(a,{images:r=null,chat_template:d="default"}={}){r?Array.isArray(r)||(r=[r]):r=await Promise.all(a.filter(b=>b.images).flatMap(b=>b.images).map(b=>s.RawImage.read(b)));const c=this.tokenizer,f=c.apply_chat_template(a,{tokenize:!1,add_generation_prompt:!0,chat_template:d}),k=b=>c.encode(b,{add_special_tokens:!1}),u=f.split(this.image_tag),D=u.length-1;if(r.length!==D)throw new Error(`Number of images provided (${r.length}) does not match number of "${this.image_tag}" image tags (${D})`);const[G,h,y]=c.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let M=k(u[0]),m=new Array(M.length).fill(!1);for(let b=1;b<u.length;++b){const X=new Array(this.num_image_tokens).fill(G),Z=k(u[b]);M=(0,C.mergeArrays)(M,[h],X,[y],Z);const T=new Array(this.num_image_tokens).fill(!0);m=(0,C.mergeArrays)(m,[!1],T,[!1],new Array(Z.length).fill(!1))}const _=[1,M.length],x={input_ids:new o.Tensor("int64",M,_),attention_mask:new o.Tensor("int64",new Array(M.length).fill(1),_),images_seq_mask:new o.Tensor("bool",m,_),images_emb_mask:new o.Tensor("bool",new Array(D*this.num_image_tokens).fill(!0),[1,D,this.num_image_tokens])};if(r&&r.length>0){const b=await this.image_processor(r);return b.pixel_values.unsqueeze_(0),{...x,...b}}return x}}},"./src/models/jina_clip/image_processing_jina_clip.js":(A,g,e)=>{e.r(g),e.d(g,{JinaCLIPImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{constructor(C){const{resize_mode:o,fill_color:s,interpolation:B,size:Q,...a}=C,r=o==="squash"?{width:Q,height:Q}:o==="shortest"?{shortest_edge:Q}:{longest_edge:Q},d=B==="bicubic"?3:2;super({...a,size:r,resample:d,do_center_crop:!0,crop_size:Q,do_normalize:!0})}}},"./src/models/jina_clip/processing_jina_clip.js":(A,g,e)=>{e.r(g),e.d(g,{JinaCLIPProcessor:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class C extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;async _call(s=null,B=null,Q={}){if(!s&&!B)throw new Error("Either text or images must be provided");const a=s?this.tokenizer(s,Q):{},r=B?await this.image_processor(B,Q):{};return{...a,...r}}}},"./src/models/llava/processing_llava.js":(A,g,e)=>{e.r(g),e.d(g,{LlavaProcessor:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class C extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;static uses_processor_config=!0;async _call(s,B=null,Q={}){const a=await this.image_processor(s,Q);if(B){const[d,c]=a.pixel_values.dims.slice(-2),{image_token:f,patch_size:k,num_additional_image_tokens:u}=this.config,D=Math.floor(d/k)*Math.floor(c/k)+u;B=structuredClone(B),Array.isArray(B)||(B=[B]);for(let G=0;G<B.length;++G)B[G]=B[G].replace(f,f.repeat(D))}const r=B?this.tokenizer(B,Q):{};return{...a,...r}}}},"./src/models/llava_onevision/image_processing_llava_onevision.js":(A,g,e)=>{e.r(g),e.d(g,{LlavaOnevisionImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(A,g,e)=>{e.r(g),e.d(g,{Mask2FormerImageProcessor:()=>i});var I=e("./src/models/maskformer/image_processing_maskformer.js");class i extends I.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(A,g,e)=>{e.r(g),e.d(g,{MaskFormerFeatureExtractor:()=>t,MaskFormerImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{post_process_panoptic_segmentation(...o){return(0,I.post_process_panoptic_segmentation)(...o)}post_process_instance_segmentation(...o){return(0,I.post_process_instance_segmentation)(...o)}}class t extends i{}},"./src/models/mgp_str/processing_mgp_str.js":(A,g,e)=>{e.r(g),e.d(g,{MgpstrProcessor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),C=e("./src/utils/maths.js");const o={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class s extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(Q,a){if(!o.hasOwnProperty(a))throw new Error(`Format ${a} is not supported.`);const[r,d]=o[a],c=this[r].bind(this),[f,k]=Q.dims,u=[],D=[],G=Q.tolist();for(let y=0;y<f;++y){const M=G[y],m=[],_=[];for(let b=1;b<k;++b){const[X,Z]=(0,C.max)((0,C.softmax)(M[b]));if(_.push(X),Z==d)break;m.push(Z)}const x=_.length>0?_.reduce((b,X)=>b*X,1):0;D.push(m),u.push(x)}return[c(D),u]}char_decode(Q){return this.char_tokenizer.batch_decode(Q).map(a=>a.replaceAll(" ",""))}bpe_decode(Q){return this.bpe_tokenizer.batch_decode(Q)}wp_decode(Q){return this.wp_tokenizer.batch_decode(Q).map(a=>a.replaceAll(" ",""))}batch_decode([Q,a,r]){const[d,c]=this._decode_helper(Q,"char"),[f,k]=this._decode_helper(a,"bpe"),[u,D]=this._decode_helper(r,"wp"),G=[],h=[];for(let y=0;y<d.length;++y){const[M,m]=(0,C.max)([c[y],k[y],D[y]]);G.push([d[y],f[y],u[y]][m]),h.push(M)}return{generated_text:G,scores:h,char_preds:d,bpe_preds:f,wp_preds:u}}static async from_pretrained(...Q){const a=await super.from_pretrained(...Q),r=await t.AutoTokenizer.from_pretrained("Xenova/gpt2"),d=await t.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return a.components={image_processor:a.image_processor,char_tokenizer:a.tokenizer,bpe_tokenizer:r,wp_tokenizer:d},a}async _call(Q,a=null){const r=await this.image_processor(Q);return a&&(r.labels=this.tokenizer(a).input_ids),r}}},"./src/models/mobilenet_v1/image_processing_mobilenet_v1.js":(A,g,e)=>{e.r(g),e.d(g,{MobileNetV1FeatureExtractor:()=>t,MobileNetV1ImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(A,g,e)=>{e.r(g),e.d(g,{MobileNetV2FeatureExtractor:()=>t,MobileNetV2ImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":(A,g,e)=>{e.r(g),e.d(g,{MobileNetV3FeatureExtractor:()=>t,MobileNetV3ImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/mobilenet_v4/image_processing_mobilenet_v4.js":(A,g,e)=>{e.r(g),e.d(g,{MobileNetV4FeatureExtractor:()=>t,MobileNetV4ImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/mobilevit/image_processing_mobilevit.js":(A,g,e)=>{e.r(g),e.d(g,{MobileViTFeatureExtractor:()=>t,MobileViTImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}class t extends i{}},"./src/models/moonshine/feature_extraction_moonshine.js":(A,g,e)=>{e.r(g),e.d(g,{MoonshineFeatureExtractor:()=>t});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js");class t extends I.FeatureExtractor{async _call(o){(0,I.validate_audio_inputs)(o,"MoonshineFeatureExtractor"),o instanceof Float64Array&&(o=new Float32Array(o));const s=[1,o.length];return{input_values:new i.Tensor("float32",o,s)}}}},"./src/models/moonshine/processing_moonshine.js":(A,g,e)=>{e.r(g),e.d(g,{MoonshineProcessor:()=>C});var I=e("./src/models/auto/feature_extraction_auto.js"),i=e("./src/tokenizers.js"),t=e("./src/base/processing_utils.js");class C extends t.Processor{static tokenizer_class=i.AutoTokenizer;static feature_extractor_class=I.AutoFeatureExtractor;async _call(s){return await this.feature_extractor(s)}}},"./src/models/nougat/image_processing_nougat.js":(A,g,e)=>{e.r(g),e.d(g,{NougatImageProcessor:()=>i});var I=e("./src/models/donut/image_processing_donut.js");class i extends I.DonutImageProcessor{}},"./src/models/owlv2/image_processing_owlv2.js":(A,g,e)=>{e.r(g),e.d(g,{Owlv2ImageProcessor:()=>i});var I=e("./src/models/owlvit/image_processing_owlvit.js");class i extends I.OwlViTImageProcessor{}},"./src/models/owlvit/image_processing_owlvit.js":(A,g,e)=>{e.r(g),e.d(g,{OwlViTFeatureExtractor:()=>t,OwlViTImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{post_process_object_detection(...o){return(0,I.post_process_object_detection)(...o)}}class t extends i{}},"./src/models/owlvit/processing_owlvit.js":(A,g,e)=>{e.r(g),e.d(g,{OwlViTProcessor:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class C extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor}},"./src/models/paligemma/processing_paligemma.js":(A,g,e)=>{e.r(g),e.d(g,{PaliGemmaProcessor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");const C="<image>";function o(B,Q,a,r,d){return`${r.repeat(a*d)}${Q}${B}
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For this call, we will infer how many images each text has and add special tokens."),f=a.map(D=>o(D,d,c,C,Q.length)));const k=this.tokenizer(f,r);return{...await this.image_processor(Q,r),...k}}}},"./src/models/phi3_v/image_processing_phi3_v.js":(A,g,e)=>{e.r(g),e.d(g,{Phi3VImageProcessor:()=>Q});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");const t=336,C=[2,3],{ceil:o,floor:s,sqrt:B}=Math;class Q extends I.ImageProcessor{constructor(r){super({...r,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0}),this._num_crops=r.num_crops}calc_num_image_tokens_from_image_size(r,d){const{num_img_tokens:c}=this.config;return s((s(d/t)*s(r/t)+1)*c+1+(s(d/t)+1)*B(c))}get_resize_output_image_size(r,d){const c=this._num_crops,[f,k]=r.size;let u=f/k,D=1;for(;D*Math.ceil(D/u)<=c;)D+=1;D-=1;const G=Math.floor(D*336),h=Math.floor(G/u);return[G,h]}pad_image(r,d,c,f={}){const[k,u]=d,D=t*o(k/t),G=t*o(u/t),h=[1,1,1].map((y,M)=>(y-this.image_mean[M])/this.image_std[M]);return super.pad_image(r,d,{width:G,height:D},{center:!0,constant_values:h,...f})}async _call(r,{num_crops:d=null}={}){if(this._num_crops=d??=this.config.num_crops,d<4||B(d)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(r)||(r=[r]);const c=r.length,f=await Promise.all(r.map(m=>this.preprocess(m))),k=f.map(m=>m.original_size),u=f.map(m=>m.reshaped_input_size),D=[];for(const{pixel_values:m}of f){m.unsqueeze_(0);const[_,x]=m.dims.slice(-2),b=await(0,i.interpolate_4d)(m,{size:[t,t],mode:"bicubic"});if(d>0){const X=[],Z=B(d),T=s(x/Z),CA=s(_/Z);for(let tA=0;tA<Z;++tA)for(let BA=0;BA<Z;++BA){let sA,cA,dA,P;tA===Z-1?(cA=_-CA,P=_):(cA=tA*CA,P=(tA+1)*CA),BA===Z-1?(sA=x-T,dA=x):(sA=BA*T,dA=(BA+1)*T);const U=[cA,sA],z=[P,dA],v=await(0,i.slice)(m,U,z,C);X.push(v)}const eA=await(0,i.interpolate_4d)((0,i.cat)(X,0),{size:[t,t],mode:"bicubic"});D.push((0,i.cat)([b,eA],0))}else D.push(b)}const G=(0,i.stack)(D,0),h=u.map(m=>m.map(_=>t*o(_/t))),y=new i.Tensor("int64",h.flat(),[c,2]),M=h.map(([m,_])=>this.calc_num_image_tokens_from_image_size(_,m));return{pixel_values:G,original_sizes:k,reshaped_input_sizes:u,image_sizes:y,num_img_tokens:M}}}},"./src/models/phi3_v/processing_phi3_v.js":(A,g,e)=>{e.r(g),e.d(g,{Phi3VProcessor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");e("./src/utils/image.js");const C="<|image|>",o=/<\|image_\d+\|>/g;class s extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;async _call(Q,a=null,{padding:r=!0,truncation:d=!0,num_crops:c=null}={}){Array.isArray(Q)||(Q=[Q]);let f,k;if(a){k=await this.image_processor(a,{num_crops:c});const{num_img_tokens:u}=k,D=Q.map((h,y)=>h.split(o).join(C.repeat(u[y])));f=this.tokenizer(D,{padding:r,truncation:d});const G=this.tokenizer.model.convert_tokens_to_ids([C])[0];f.input_ids.map_(h=>h==G?-h:h)}else f=this.tokenizer(Q);return{...f,...k}}}},"./src/models/processors.js":(A,g,e)=>{e.r(g),e.d(g,{Florence2Processor:()=>I.Florence2Processor,Gemma3nProcessor:()=>i.Gemma3nProcessor,GroundingDinoProcessor:()=>t.GroundingDinoProcessor,Idefics3Processor:()=>C.Idefics3Processor,JinaCLIPProcessor:()=>s.JinaCLIPProcessor,LlavaProcessor:()=>B.LlavaProcessor,MgpstrProcessor:()=>Q.MgpstrProcessor,MoonshineProcessor:()=>a.MoonshineProcessor,OwlViTProcessor:()=>r.OwlViTProcessor,PaliGemmaProcessor:()=>c.PaliGemmaProcessor,Phi3VProcessor:()=>d.Phi3VProcessor,PyAnnoteProcessor:()=>f.PyAnnoteProcessor,Qwen2VLProcessor:()=>k.Qwen2VLProcessor,SamProcessor:()=>u.SamProcessor,SmolVLMProcessor:()=>D.SmolVLMProcessor,SpeechT5Processor:()=>G.SpeechT5Processor,UltravoxProcessor:()=>h.UltravoxProcessor,VLChatProcessor:()=>o.VLChatProcessor,VoxtralProcessor:()=>y.VoxtralProcessor,Wav2Vec2Processor:()=>M.Wav2Vec2Processor,Wav2Vec2ProcessorWithLM:()=>m.Wav2Vec2ProcessorWithLM,WhisperProcessor:()=>_.WhisperProcessor});var I=e("./src/models/florence2/processing_florence2.js"),i=e("./src/models/gemma3n/processing_gemma3n.js"),t=e("./src/models/grounding_dino/processing_grounding_dino.js"),C=e("./src/models/idefics3/processing_idefics3.js"),o=e("./src/models/janus/processing_janus.js"),s=e("./src/models/jina_clip/processing_jina_clip.js"),B=e("./src/models/llava/processing_llava.js"),Q=e("./src/models/mgp_str/processing_mgp_str.js"),a=e("./src/models/moonshine/processing_moonshine.js"),r=e("./src/models/owlvit/processing_owlvit.js"),d=e("./src/models/phi3_v/processing_phi3_v.js"),c=e("./src/models/paligemma/processing_paligemma.js"),f=e("./src/models/pyannote/processing_pyannote.js"),k=e("./src/models/qwen2_vl/processing_qwen2_vl.js"),u=e("./src/models/sam/processing_sam.js"),D=e("./src/models/smolvlm/processing_smolvlm.js"),G=e("./src/models/speecht5/processing_speecht5.js"),h=e("./src/models/ultravox/processing_ultravox.js"),y=e("./src/models/voxtral/processing_voxtral.js"),M=e("./src/models/wav2vec2/processing_wav2vec2.js"),m=e("./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js"),_=e("./src/models/whisper/processing_whisper.js")},"./src/models/pvt/image_processing_pvt.js":(A,g,e)=>{e.r(g),e.d(g,{PvtImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}},"./src/models/pyannote/feature_extraction_pyannote.js":(A,g,e)=>{e.r(g),e.d(g,{PyAnnoteFeatureExtractor:()=>C});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js"),t=e("./src/utils/maths.js");class C extends I.FeatureExtractor{async _call(s){(0,I.validate_audio_inputs)(s,"PyAnnoteFeatureExtractor"),s instanceof Float64Array&&(s=new Float32Array(s));const B=[1,1,s.length];return{input_values:new i.Tensor("float32",s,B)}}samples_to_frames(s){return(s-this.config.offset)/this.config.step}post_process_speaker_diarization(s,B){const Q=B/this.samples_to_frames(B)/this.config.sampling_rate,a=[];for(const r of s.tolist()){const d=[];let c=-1;for(let f=0;f<r.length;++f){const 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I=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian 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Must be one of: ${JSON.stringify(Array.from(a))}`)}}return s}},"./src/models/whisper/feature_extraction_whisper.js":(A,g,e)=>{e.r(g),e.d(g,{WhisperFeatureExtractor:()=>C});var I=e("./src/base/feature_extraction_utils.js");e("./src/utils/tensor.js");var i=e("./src/utils/audio.js"),t=e("./src/utils/maths.js");class C extends I.FeatureExtractor{constructor(s){super(s),this.config.mel_filters??=(0,i.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(s){const B=await(0,i.spectrogram)(s,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:Math.min(Math.floor(s.length/this.config.hop_length),this.config.nb_max_frames)}),Q=B.data,a=(0,t.max)(Q)[0];for(let r=0;r<Q.length;++r)Q[r]=(Math.max(Q[r],a-8)+4)/4;return B}async _call(s,{max_length:B=null}={}){(0,I.validate_audio_inputs)(s,"WhisperFeatureExtractor");let Q;const a=B??this.config.n_samples;return s.length>a?(s.length>this.config.n_samples&&console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),Q=s.slice(0,a)):(Q=new Float32Array(a),Q.set(s)),{input_features:(await this._extract_fbank_features(Q)).unsqueeze_(0)}}}},"./src/models/whisper/generation_whisper.js":(A,g,e)=>{e.r(g),e.d(g,{WhisperGenerationConfig:()=>i});var I=e("./src/generation/configuration_utils.js");class i extends I.GenerationConfig{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1}},"./src/models/whisper/processing_whisper.js":(A,g,e)=>{e.r(g),e.d(g,{WhisperProcessor:()=>C});var I=e("./src/models/auto/feature_extraction_auto.js"),i=e("./src/tokenizers.js"),t=e("./src/base/processing_utils.js");class C extends t.Processor{static tokenizer_class=i.AutoTokenizer;static feature_extractor_class=I.AutoFeatureExtractor;async _call(s){return await this.feature_extractor(s)}}},"./src/models/yolos/image_processing_yolos.js":(A,g,e)=>{e.r(g),e.d(g,{YolosFeatureExtractor:()=>t,YolosImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{post_process_object_detection(...o){return(0,I.post_process_object_detection)(...o)}}class t extends i{}},"./src/ops/registry.js":(A,g,e)=>{e.r(g),e.d(g,{TensorOpRegistry:()=>s});var I=e("./src/backends/onnx.js"),i=e("./src/utils/tensor.js"),t=e("./src/env.js");const C=t.apis.IS_BROWSER_ENV||t.apis.IS_WEBWORKER_ENV,o=async(B,Q,a)=>{const r=await(0,I.createInferenceSession)(new Uint8Array(B),Q);let d=Promise.resolve();return async c=>{const f=(0,I.isONNXProxy)(),k=Object.fromEntries(Object.entries(c).map(([D,G])=>[D,(f?G.clone():G).ort_tensor])),u=await(d=C?d.then(()=>r.run(k)):r.run(k));return Array.isArray(a)?a.map(D=>new i.Tensor(u[D])):new i.Tensor(u[a])}};class s{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=o([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=o([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=o([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=o([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=o([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=o([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=o([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=o([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}}},"./src/pipelines.js":(A,g,e)=>{e.r(g),e.d(g,{AudioClassificationPipeline:()=>Z,AutomaticSpeechRecognitionPipeline:()=>CA,BackgroundRemovalPipeline:()=>sA,DepthEstimationPipeline:()=>nA,DocumentQuestionAnsweringPipeline:()=>U,FeatureExtractionPipeline:()=>b,FillMaskPipeline:()=>G,ImageClassificationPipeline:()=>tA,ImageFeatureExtractionPipeline:()=>X,ImageSegmentationPipeline:()=>BA,ImageToImagePipeline:()=>v,ImageToTextPipeline:()=>eA,ObjectDetectionPipeline:()=>dA,Pipeline:()=>f,QuestionAnsweringPipeline:()=>D,SummarizationPipeline:()=>y,Text2TextGenerationPipeline:()=>h,TextClassificationPipeline:()=>k,TextGenerationPipeline:()=>_,TextToAudioPipeline:()=>z,TokenClassificationPipeline:()=>u,TranslationPipeline:()=>M,ZeroShotAudioClassificationPipeline:()=>T,ZeroShotClassificationPipeline:()=>x,ZeroShotImageClassificationPipeline:()=>cA,ZeroShotObjectDetectionPipeline:()=>P,pipeline:()=>PA});var I=e("./src/tokenizers.js"),i=e("./src/models.js"),t=e("./src/models/auto/processing_auto.js");e("./src/base/processing_utils.js");var C=e("./src/utils/generic.js"),o=e("./src/utils/core.js"),s=e("./src/utils/maths.js"),B=e("./src/utils/audio.js"),Q=e("./src/utils/tensor.js"),a=e("./src/utils/image.js");async function r(LA){return Array.isArray(LA)||(LA=[LA]),await Promise.all(LA.map(AA=>a.RawImage.read(AA)))}async function d(LA,AA){return Array.isArray(LA)||(LA=[LA]),await Promise.all(LA.map(hA=>typeof hA=="string"||hA instanceof URL?(0,B.read_audio)(hA,AA):hA instanceof Float64Array?new Float32Array(hA):hA))}function c(LA,AA){AA&&(LA=LA.map(NA=>NA|0));const[hA,V,fA,bA]=LA;return{xmin:hA,ymin:V,xmax:fA,ymax:bA}}class f extends C.Callable{constructor({task:AA,model:hA,tokenizer:V=null,processor:fA=null}){super(),this.task=AA,this.model=hA,this.tokenizer=V,this.processor=fA}async dispose(){await this.model.dispose()}}class k extends f{constructor(AA){super(AA)}async _call(AA,{top_k:hA=1}={}){const V=this.tokenizer(AA,{padding:!0,truncation:!0}),fA=await this.model(V),bA=this.model.config.problem_type==="multi_label_classification"?kA=>kA.sigmoid():kA=>new Q.Tensor("float32",(0,s.softmax)(kA.data),kA.dims),NA=this.model.config.id2label,pA=[];for(const kA of fA.logits){const MA=bA(kA),xA=await(0,Q.topk)(MA,hA),vA=xA[0].tolist(),SA=xA[1].tolist().map((re,HA)=>({label:NA?NA[re]:`LABEL_${re}`,score:vA[HA]}));hA===1?pA.push(...SA):pA.push(SA)}return Array.isArray(AA)||hA===1?pA:pA[0]}}class u extends f{constructor(AA){super(AA)}async _call(AA,{ignore_labels:hA=["O"]}={}){const V=Array.isArray(AA),fA=this.tokenizer(V?AA:[AA],{padding:!0,truncation:!0}),NA=(await this.model(fA)).logits,pA=this.model.config.id2label,kA=[];for(let MA=0;MA<NA.dims[0];++MA){const xA=fA.input_ids[MA],vA=NA[MA],ge=[];for(let SA=0;SA<vA.dims[0];++SA){const re=vA[SA],HA=(0,s.max)(re.data)[1],zA=pA?pA[HA]:`LABEL_${HA}`;if(hA.includes(zA))continue;const Be=this.tokenizer.decode([xA[SA].item()],{skip_special_tokens:!0});if(Be==="")continue;const Ae=(0,s.softmax)(re.data);ge.push({entity:zA,score:Ae[HA],index:SA,word:Be})}kA.push(ge)}return V?kA:kA[0]}}class D extends f{constructor(AA){super(AA)}async _call(AA,hA,{top_k:V=1}={}){const fA=this.tokenizer(AA,{text_pair:hA,padding:!0,truncation:!0}),{start_logits:bA,end_logits:NA}=await this.model(fA),pA=fA.input_ids.tolist(),kA=fA.attention_mask.tolist(),MA=this.tokenizer.all_special_ids,xA=[];for(let vA=0;vA<bA.dims[0];++vA){const ge=pA[vA],SA=ge.findIndex(oe=>oe==this.tokenizer.sep_token_id);kA[vA].map((oe,se)=>oe==1&&(se===0||se>SA&&MA.findIndex(Ne=>Ne==ge[se])===-1));const re=bA[vA].tolist(),HA=NA[vA].tolist();for(let oe=1;oe<re.length;++oe)(kA[vA]==0||oe<=SA||MA.findIndex(se=>se==ge[oe])!==-1)&&(re[oe]=-1/0,HA[oe]=-1/0);const zA=(0,s.softmax)(re).map((oe,se)=>[oe,se]),Be=(0,s.softmax)(HA).map((oe,se)=>[oe,se]);zA[0][0]=0,Be[0][0]=0;const Ae=(0,o.product)(zA,Be).filter(oe=>oe[0][1]<=oe[1][1]).map(oe=>[oe[0][1],oe[1][1],oe[0][0]*oe[1][0]]).sort((oe,se)=>se[2]-oe[2]);for(let oe=0;oe<Math.min(Ae.length,V);++oe){const[se,Ne,Pe]=Ae[oe],pe=ge.slice(se,Ne+1),tg=this.tokenizer.decode(pe,{skip_special_tokens:!0});xA.push({answer:tg,score:Pe})}}return V===1?xA[0]:xA}}class G extends f{constructor(AA){super(AA)}async _call(AA,{top_k:hA=5}={}){const V=this.tokenizer(AA,{padding:!0,truncation:!0}),{logits:fA}=await this.model(V),bA=[],NA=V.input_ids.tolist();for(let pA=0;pA<NA.length;++pA){const kA=NA[pA],MA=kA.findIndex(re=>re==this.tokenizer.mask_token_id);if(MA===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const xA=fA[pA][MA],vA=await(0,Q.topk)(new Q.Tensor("float32",(0,s.softmax)(xA.data),xA.dims),hA),ge=vA[0].tolist(),SA=vA[1].tolist();bA.push(SA.map((re,HA)=>{const zA=kA.slice();return zA[MA]=re,{score:ge[HA],token:Number(re),token_str:this.tokenizer.decode([re]),sequence:this.tokenizer.decode(zA,{skip_special_tokens:!0})}}))}return Array.isArray(AA)?bA:bA[0]}}class h extends f{_key="generated_text";constructor(AA){super(AA)}async _call(AA,hA={}){Array.isArray(AA)||(AA=[AA]),this.model.config.prefix&&(AA=AA.map(kA=>this.model.config.prefix+kA));const V=this.model.config.task_specific_params;V&&V[this.task]&&V[this.task].prefix&&(AA=AA.map(kA=>V[this.task].prefix+kA));const fA=this.tokenizer,bA={padding:!0,truncation:!0};let NA;this instanceof M&&"_build_translation_inputs"in fA?NA=fA._build_translation_inputs(AA,bA,hA):NA=fA(AA,bA);const pA=await this.model.generate({...NA,...hA});return fA.batch_decode(pA,{skip_special_tokens:!0}).map(kA=>({[this._key]:kA}))}}class y extends h{_key="summary_text";constructor(AA){super(AA)}}class M extends h{_key="translation_text";constructor(AA){super(AA)}}function m(LA){return Array.isArray(LA)&&LA.every(AA=>"role"in AA&&"content"in AA)}class _ extends f{constructor(AA){super(AA)}async _call(AA,hA={}){let V=!1,fA=!1,bA=hA.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,NA;if(typeof AA=="string")NA=AA=[AA];else if(Array.isArray(AA)&&AA.every(SA=>typeof SA=="string"))V=!0,NA=AA;else{if(m(AA))AA=[AA];else if(Array.isArray(AA)&&AA.every(m))V=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");fA=!0,NA=AA.map(SA=>this.tokenizer.apply_chat_template(SA,{tokenize:!1,add_generation_prompt:!0})),bA=!1}const pA=fA?!1:hA.return_full_text??!0;this.tokenizer.padding_side="left";const kA=this.tokenizer(NA,{add_special_tokens:bA,padding:!0,truncation:!0}),MA=await this.model.generate({...kA,...hA}),xA=this.tokenizer.batch_decode(MA,{skip_special_tokens:!0});let vA;!pA&&kA.input_ids.dims.at(-1)>0&&(vA=this.tokenizer.batch_decode(kA.input_ids,{skip_special_tokens:!0}).map(SA=>SA.length));const ge=Array.from({length:AA.length},SA=>[]);for(let SA=0;SA<xA.length;++SA){const re=Math.floor(SA/MA.dims[0]*AA.length);vA&&(xA[SA]=xA[SA].slice(vA[re])),ge[re].push({generated_text:fA?[...AA[re],{role:"assistant",content:xA[SA]}]:xA[SA]})}return!V&&ge.length===1?ge[0]:ge}}class x extends f{constructor(AA){super(AA),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([hA,V])=>[hA.toLowerCase(),V])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(AA,hA,{hypothesis_template:V="This example is {}.",multi_label:fA=!1}={}){const bA=Array.isArray(AA);bA||(AA=[AA]),Array.isArray(hA)||(hA=[hA]);const NA=hA.map(MA=>V.replace("{}",MA)),pA=fA||hA.length===1,kA=[];for(const MA of AA){const xA=[];for(const SA of NA){const re=this.tokenizer(MA,{text_pair:SA,padding:!0,truncation:!0}),HA=await this.model(re);pA?xA.push([HA.logits.data[this.contradiction_id],HA.logits.data[this.entailment_id]]):xA.push(HA.logits.data[this.entailment_id])}const ge=(pA?xA.map(SA=>(0,s.softmax)(SA)[1]):(0,s.softmax)(xA)).map((SA,re)=>[SA,re]).sort((SA,re)=>re[0]-SA[0]);kA.push({sequence:MA,labels:ge.map(SA=>hA[SA[1]]),scores:ge.map(SA=>SA[0])})}return bA?kA:kA[0]}}class b extends f{constructor(AA){super(AA)}async _call(AA,{pooling:hA="none",normalize:V=!1,quantize:fA=!1,precision:bA="binary"}={}){const NA=this.tokenizer(AA,{padding:!0,truncation:!0}),pA=await this.model(NA);let kA=pA.last_hidden_state??pA.logits??pA.token_embeddings;switch(hA){case"none":break;case"mean":kA=(0,Q.mean_pooling)(kA,NA.attention_mask);break;case"first_token":case"cls":kA=kA.slice(null,0);break;case"last_token":case"eos":kA=kA.slice(null,-1);break;default:throw Error(`Pooling method '${hA}' not supported.`)}return V&&(kA=kA.normalize(2,-1)),fA&&(kA=(0,Q.quantize_embeddings)(kA,bA)),kA}}class X extends f{constructor(AA){super(AA)}async _call(AA,{pool:hA=null}={}){const V=await r(AA),{pixel_values:fA}=await this.processor(V),bA=await this.model({pixel_values:fA});let NA;if(hA){if(!("pooler_output"in bA))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");NA=bA.pooler_output}else NA=bA.last_hidden_state??bA.logits??bA.image_embeds;return NA}}class Z extends f{constructor(AA){super(AA)}async _call(AA,{top_k:hA=5}={}){const V=this.processor.feature_extractor.config.sampling_rate,fA=await d(AA,V),bA=this.model.config.id2label,NA=[];for(const pA of fA){const kA=await this.processor(pA),xA=(await this.model(kA)).logits[0],vA=await(0,Q.topk)(new Q.Tensor("float32",(0,s.softmax)(xA.data),xA.dims),hA),ge=vA[0].tolist(),re=vA[1].tolist().map((HA,zA)=>({label:bA?bA[HA]:`LABEL_${HA}`,score:ge[zA]}));NA.push(re)}return Array.isArray(AA)?NA:NA[0]}}class T extends f{constructor(AA){super(AA)}async _call(AA,hA,{hypothesis_template:V="This is a sound of {}."}={}){const fA=!Array.isArray(AA);fA&&(AA=[AA]);const bA=hA.map(xA=>V.replace("{}",xA)),NA=this.tokenizer(bA,{padding:!0,truncation:!0}),pA=this.processor.feature_extractor.config.sampling_rate,kA=await d(AA,pA),MA=[];for(const xA of kA){const vA=await this.processor(xA),ge=await this.model({...NA,...vA}),SA=(0,s.softmax)(ge.logits_per_audio.data);MA.push([...SA].map((re,HA)=>({score:re,label:hA[HA]})))}return fA?MA[0]:MA}}class CA extends f{constructor(AA){super(AA)}async _call(AA,hA={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(AA,hA);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(AA,hA);case"moonshine":return this._call_moonshine(AA,hA);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(AA,hA){hA.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),hA.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const V=!Array.isArray(AA);V&&(AA=[AA]);const fA=this.processor.feature_extractor.config.sampling_rate,bA=await d(AA,fA),NA=[];for(const pA of bA){const kA=await this.processor(pA),xA=(await this.model(kA)).logits[0],vA=[];for(const SA of xA)vA.push((0,s.max)(SA.data)[1]);const ge=this.tokenizer.decode(vA);NA.push({text:ge})}return V?NA[0]:NA}async _call_whisper(AA,hA){const V=hA.return_timestamps??!1,fA=hA.chunk_length_s??0,bA=hA.force_full_sequences??!1;let NA=hA.stride_length_s??null;const pA={...hA};V==="word"&&(pA.return_token_timestamps=!0,pA.return_timestamps=!1);const kA=!Array.isArray(AA);kA&&(AA=[AA]);const MA=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,xA=this.processor.feature_extractor.config.hop_length,vA=this.processor.feature_extractor.config.sampling_rate,ge=await d(AA,vA),SA=[];for(const re of ge){let HA=[];if(fA>0){if(NA===null)NA=fA/6;else if(fA<=NA)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Ae=vA*fA,oe=vA*NA,se=Ae-2*oe;let Ne=0;for(;;){const Pe=Ne+Ae,pe=re.subarray(Ne,Pe),tg=await this.processor(pe),Og=Ne===0,xg=Pe>=re.length;if(HA.push({stride:[pe.length,Og?0:oe,xg?0:oe],input_features:tg.input_features,is_last:xg}),xg)break;Ne+=se}}else HA=[{stride:[re.length,0,0],input_features:(await this.processor(re)).input_features,is_last:!0}];for(const Ae of HA){pA.num_frames=Math.floor(Ae.stride[0]/xA);const oe=await this.model.generate({inputs:Ae.input_features,...pA});V==="word"?(Ae.tokens=oe.sequences.tolist()[0],Ae.token_timestamps=oe.token_timestamps.tolist()[0].map(se=>(0,s.round)(se,2))):Ae.tokens=oe[0].tolist(),Ae.stride=Ae.stride.map(se=>se/vA)}const[zA,Be]=this.tokenizer._decode_asr(HA,{time_precision:MA,return_timestamps:V,force_full_sequences:bA});SA.push({text:zA,...Be})}return kA?SA[0]:SA}async _call_moonshine(AA,hA){const V=!Array.isArray(AA);V&&(AA=[AA]);const fA=this.processor.feature_extractor.config.sampling_rate,bA=await d(AA,fA),NA=[];for(const pA of bA){const kA=await this.processor(pA),MA=Math.floor(pA.length/fA)*6,xA=await this.model.generate({max_new_tokens:MA,...hA,...kA}),vA=this.processor.batch_decode(xA,{skip_special_tokens:!0})[0];NA.push({text:vA})}return V?NA[0]:NA}}class eA extends f{constructor(AA){super(AA)}async _call(AA,hA={}){const V=Array.isArray(AA),fA=await r(AA),{pixel_values:bA}=await this.processor(fA),NA=[];for(const pA of bA){pA.dims=[1,...pA.dims];const kA=await this.model.generate({inputs:pA,...hA}),MA=this.tokenizer.batch_decode(kA,{skip_special_tokens:!0}).map(xA=>({generated_text:xA.trim()}));NA.push(MA)}return V?NA:NA[0]}}class tA extends f{constructor(AA){super(AA)}async _call(AA,{top_k:hA=5}={}){const V=await r(AA),{pixel_values:fA}=await this.processor(V),bA=await this.model({pixel_values:fA}),NA=this.model.config.id2label,pA=[];for(const kA of bA.logits){const MA=await(0,Q.topk)(new Q.Tensor("float32",(0,s.softmax)(kA.data),kA.dims),hA),xA=MA[0].tolist(),ge=MA[1].tolist().map((SA,re)=>({label:NA?NA[SA]:`LABEL_${SA}`,score:xA[re]}));pA.push(ge)}return Array.isArray(AA)?pA:pA[0]}}class BA extends f{constructor(AA){super(AA),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(AA,{threshold:hA=.5,mask_threshold:V=.5,overlap_mask_area_threshold:fA=.8,label_ids_to_fuse:bA=null,target_sizes:NA=null,subtask:pA=null}={}){if(Array.isArray(AA)&&AA.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const MA=await r(AA),xA=MA.map(Ae=>[Ae.height,Ae.width]),vA=await this.processor(MA),{inputNames:ge,outputNames:SA}=this.model.sessions.model;if(!ge.includes("pixel_values")){if(ge.length!==1)throw Error(`Expected a single input name, but got ${ge.length} inputs: ${ge}.`);const Ae=ge[0];if(Ae in vA)throw Error(`Input name ${Ae} already exists in the inputs.`);vA[Ae]=vA.pixel_values}const re=await this.model(vA);let HA=null;if(pA!==null)HA=this.subtasks_mapping[pA];else if(this.processor.image_processor){for(const[Ae,oe]of Object.entries(this.subtasks_mapping))if(oe in this.processor.image_processor){HA=this.processor.image_processor[oe].bind(this.processor.image_processor),pA=Ae;break}}const zA=this.model.config.id2label,Be=[];if(pA)if(pA==="panoptic"||pA==="instance"){const Ae=HA(re,hA,V,fA,bA,NA??xA)[0],oe=Ae.segmentation;for(const se of Ae.segments_info){const Ne=new Uint8ClampedArray(oe.data.length);for(let pe=0;pe<oe.data.length;++pe)oe.data[pe]===se.id&&(Ne[pe]=255);const Pe=new a.RawImage(Ne,oe.dims[1],oe.dims[0],1);Be.push({score:se.score,label:zA[se.label_id],mask:Pe})}}else if(pA==="semantic"){const{segmentation:Ae,labels:oe}=HA(re,NA??xA)[0];for(const se of oe){const Ne=new Uint8ClampedArray(Ae.data.length);for(let pe=0;pe<Ae.data.length;++pe)Ae.data[pe]===se&&(Ne[pe]=255);const Pe=new a.RawImage(Ne,Ae.dims[1],Ae.dims[0],1);Be.push({score:null,label:zA[se],mask:Pe})}}else throw Error(`Subtask ${pA} not supported.`);else{const oe=re[SA[0]];for(let se=0;se<xA.length;++se){const Ne=xA[se],Pe=oe[se];Pe.data.some(tg=>tg<-1e-5||tg>1+1e-5)&&Pe.sigmoid_();const pe=await a.RawImage.fromTensor(Pe.mul_(255).to("uint8")).resize(Ne[1],Ne[0]);Be.push({label:null,score:null,mask:pe})}}return Be}}class sA extends BA{constructor(AA){super(AA)}async _call(AA,hA={}){if(Array.isArray(AA)&&AA.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const fA=await r(AA),bA=await super._call(AA,hA);return fA.map((pA,kA)=>{const MA=pA.clone();return MA.putAlpha(bA[kA].mask),MA})}}class cA extends f{constructor(AA){super(AA)}async _call(AA,hA,{hypothesis_template:V="This is a photo of {}"}={}){const fA=Array.isArray(AA),bA=await r(AA),NA=hA.map(ge=>V.replace("{}",ge)),pA=this.tokenizer(NA,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:kA}=await this.processor(bA),MA=await this.model({...pA,pixel_values:kA}),xA=this.model.config.model_type==="siglip"?ge=>ge.sigmoid().data:ge=>(0,s.softmax)(ge.data),vA=[];for(const ge of MA.logits_per_image){const re=[...xA(ge)].map((HA,zA)=>({score:HA,label:hA[zA]}));re.sort((HA,zA)=>zA.score-HA.score),vA.push(re)}return fA?vA:vA[0]}}class dA extends f{constructor(AA){super(AA)}async _call(AA,{threshold:hA=.9,percentage:V=!1}={}){const fA=Array.isArray(AA);if(fA&&AA.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const bA=await r(AA),NA=V?null:bA.map(SA=>[SA.height,SA.width]),{pixel_values:pA,pixel_mask:kA}=await this.processor(bA),MA=await this.model({pixel_values:pA,pixel_mask:kA}),xA=this.processor.image_processor.post_process_object_detection(MA,hA,NA),vA=this.model.config.id2label,ge=xA.map(SA=>SA.boxes.map((re,HA)=>({score:SA.scores[HA],label:vA[SA.classes[HA]],box:c(re,!V)})));return fA?ge:ge[0]}}class P extends f{constructor(AA){super(AA)}async _call(AA,hA,{threshold:V=.1,top_k:fA=null,percentage:bA=!1}={}){const NA=Array.isArray(AA),pA=await r(AA),kA=this.tokenizer(hA,{padding:!0,truncation:!0}),MA=await this.processor(pA),xA=[];for(let vA=0;vA<pA.length;++vA){const ge=pA[vA],SA=bA?null:[[ge.height,ge.width]],re=MA.pixel_values[vA].unsqueeze_(0),HA=await this.model({...kA,pixel_values:re});let zA;if("post_process_grounded_object_detection"in this.processor){const Be=this.processor.post_process_grounded_object_detection(HA,kA.input_ids,{box_threshold:V,text_threshold:V,target_sizes:SA})[0];zA=Be.boxes.map((Ae,oe)=>({score:Be.scores[oe],label:Be.labels[oe],box:c(Ae,!bA)}))}else{const Be=this.processor.image_processor.post_process_object_detection(HA,V,SA,!0)[0];zA=Be.boxes.map((Ae,oe)=>({score:Be.scores[oe],label:hA[Be.classes[oe]],box:c(Ae,!bA)}))}zA.sort((Be,Ae)=>Ae.score-Be.score),fA!==null&&(zA=zA.slice(0,fA)),xA.push(zA)}return NA?xA:xA[0]}}class U extends f{constructor(AA){super(AA)}async _call(AA,hA,V={}){const fA=(await r(AA))[0],{pixel_values:bA}=await this.processor(fA),NA=`<s_docvqa><s_question>${hA}</s_question><s_answer>`,pA=this.tokenizer(NA,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,kA=await this.model.generate({inputs:bA,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:pA,...V}),xA=this.tokenizer.batch_decode(kA)[0].match(/<s_answer>(.*?)<\/s_answer>/);let vA=null;return xA&&xA.length>=2&&(vA=xA[1].trim()),[{answer:vA}]}}class z extends f{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(AA){super(AA),this.vocoder=AA.vocoder??null}async _call(AA,{speaker_embeddings:hA=null}={}){return this.processor?this._call_text_to_spectrogram(AA,{speaker_embeddings:hA}):this._call_text_to_waveform(AA)}async _call_text_to_waveform(AA){const hA=this.tokenizer(AA,{padding:!0,truncation:!0}),{waveform:V}=await this.model(hA),fA=this.model.config.sampling_rate;return new B.RawAudio(V.data,fA)}async _call_text_to_spectrogram(AA,{speaker_embeddings:hA}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await i.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof hA=="string"||hA instanceof URL)&&(hA=new Float32Array(await(await fetch(hA)).arrayBuffer())),hA instanceof Float32Array)hA=new Q.Tensor("float32",hA,[1,hA.length]);else if(!(hA instanceof Q.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:V}=this.tokenizer(AA,{padding:!0,truncation:!0}),{waveform:fA}=await this.model.generate_speech(V,hA,{vocoder:this.vocoder}),bA=this.processor.feature_extractor.config.sampling_rate;return new B.RawAudio(fA.data,bA)}}class v extends f{constructor(AA){super(AA)}async _call(AA){const hA=await r(AA),V=await this.processor(hA),fA=await this.model(V),bA=[];for(const NA of fA.reconstruction){const pA=NA.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");bA.push(a.RawImage.fromTensor(pA))}return bA.length>1?bA:bA[0]}}class nA extends f{constructor(AA){super(AA)}async _call(AA){const hA=await r(AA),V=await this.processor(hA),{predicted_depth:fA}=await this.model(V),bA=[];for(let NA=0;NA<hA.length;++NA){const pA=fA[NA],[kA,MA]=pA.dims.slice(-2),[xA,vA]=hA[NA].size,ge=(await(0,Q.interpolate_4d)(pA.view(1,1,kA,MA),{size:[vA,xA],mode:"bilinear"})).view(vA,xA),SA=ge.min().item(),re=ge.max().item(),HA=ge.sub(SA).div_(re-SA).mul_(255).to("uint8").unsqueeze(0),zA=a.RawImage.fromTensor(HA);bA.push({predicted_depth:ge,depth:zA})}return bA.length>1?bA:bA[0]}}const YA=Object.freeze({"text-classification":{tokenizer:I.AutoTokenizer,pipeline:k,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:I.AutoTokenizer,pipeline:u,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:I.AutoTokenizer,pipeline:D,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:I.AutoTokenizer,pipeline:G,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:I.AutoTokenizer,pipeline:y,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:I.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:I.AutoTokenizer,pipeline:h,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:I.AutoTokenizer,pipeline:_,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:I.AutoTokenizer,pipeline:x,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:Z,model:i.AutoModelForAudioClassification,processor:t.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:I.AutoTokenizer,pipeline:T,model:i.AutoModel,processor:t.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:I.AutoTokenizer,pipeline:CA,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:t.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:I.AutoTokenizer,pipeline:z,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[t.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:I.AutoTokenizer,pipeline:eA,model:i.AutoModelForVision2Seq,processor:t.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:tA,model:i.AutoModelForImageClassification,processor:t.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:BA,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:t.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:sA,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:t.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:I.AutoTokenizer,pipeline:cA,model:i.AutoModel,processor:t.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:dA,model:i.AutoModelForObjectDetection,processor:t.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:I.AutoTokenizer,pipeline:P,model:i.AutoModelForZeroShotObjectDetection,processor:t.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:I.AutoTokenizer,pipeline:U,model:i.AutoModelForDocumentQuestionAnswering,processor:t.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:v,model:i.AutoModelForImageToImage,processor:t.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:nA,model:i.AutoModelForDepthEstimation,processor:t.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:I.AutoTokenizer,pipeline:b,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:t.AutoProcessor,pipeline:X,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),_A=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function PA(LA,AA=null,{progress_callback:hA=null,config:V=null,cache_dir:fA=null,local_files_only:bA=!1,revision:NA="main",device:pA=null,dtype:kA=null,subfolder:MA="onnx",use_external_data_format:xA=null,model_file_name:vA=null,session_options:ge={}}={}){LA=_A[LA]??LA;const SA=YA[LA.split("_",1)[0]];if(!SA)throw Error(`Unsupported pipeline: ${LA}. Must be one of [${Object.keys(YA)}]`);AA||(AA=SA.default.model,console.log(`No model specified. Using default model: "${AA}".`));const re={progress_callback:hA,config:V,cache_dir:fA,local_files_only:bA,revision:NA,device:pA,dtype:kA,subfolder:MA,use_external_data_format:xA,model_file_name:vA,session_options:ge},HA=new Map([["tokenizer",SA.tokenizer],["model",SA.model],["processor",SA.processor]]),zA=await ie(HA,AA,re);zA.task=LA,(0,o.dispatchCallback)(hA,{status:"ready",task:LA,model:AA});const Be=SA.pipeline;return new Be(zA)}async function ie(LA,AA,hA){const V=Object.create(null),fA=[];for(const[bA,NA]of LA.entries()){if(!NA)continue;let pA;Array.isArray(NA)?pA=new Promise(async(kA,MA)=>{let xA;for(const vA of NA){if(vA===null){kA(null);return}try{kA(await vA.from_pretrained(AA,hA));return}catch(ge){if(ge.message?.includes("Unsupported model type"))xA=ge;else if(ge.message?.includes("Could not locate file"))xA=ge;else{MA(ge);return}}}MA(xA)}):pA=NA.from_pretrained(AA,hA),V[bA]=pA,fA.push(pA)}await Promise.all(fA);for(const[bA,NA]of Object.entries(V))V[bA]=await NA;return V}},"./src/tokenizers.js":(A,g,e)=>{e.r(g),e.d(g,{AlbertTokenizer:()=>xe,AutoTokenizer:()=>Ke,BartTokenizer:()=>Te,BertTokenizer:()=>J,BlenderbotSmallTokenizer:()=>K,BlenderbotTokenizer:()=>F,BloomTokenizer:()=>Wg,CLIPTokenizer:()=>fI,CamembertTokenizer:()=>JA,CodeGenTokenizer:()=>AI,CodeLlamaTokenizer:()=>iI,CohereTokenizer:()=>uA,ConvBertTokenizer:()=>IA,DebertaTokenizer:()=>N,DebertaV2Tokenizer:()=>gA,DistilBertTokenizer:()=>yA,ElectraTokenizer:()=>Ee,Ernie4_5_Tokenizer:()=>Ce,EsmTokenizer:()=>nI,FalconTokenizer:()=>oI,GPT2Tokenizer:()=>Se,GPTNeoXTokenizer:()=>mg,GemmaTokenizer:()=>ag,Grok1Tokenizer:()=>jg,HerbertTokenizer:()=>O,LlamaTokenizer:()=>pg,M2M100Tokenizer:()=>tI,MBart50Tokenizer:()=>je,MBartTokenizer:()=>wg,MPNetTokenizer:()=>Zg,MarianTokenizer:()=>qA,MgpstrTokenizer:()=>RA,MobileBertTokenizer:()=>ke,NllbTokenizer:()=>Mg,NougatTokenizer:()=>iA,PreTrainedTokenizer:()=>de,Qwen2Tokenizer:()=>CI,RoFormerTokenizer:()=>rA,RobertaTokenizer:()=>lg,SiglipTokenizer:()=>ve,SpeechT5Tokenizer:()=>W,SqueezeBertTokenizer:()=>EI,T5Tokenizer:()=>Ie,TokenizerModel:()=>X,VitsTokenizer:()=>QA,Wav2Vec2CTCTokenizer:()=>n,WhisperTokenizer:()=>lI,XLMRobertaTokenizer:()=>cg,XLMTokenizer:()=>ae,is_chinese_char:()=>G});var I=e("./src/utils/generic.js"),i=e("./src/utils/core.js"),t=e("./src/utils/hub.js"),C=e("./src/utils/maths.js"),o=e("./src/utils/tensor.js"),s=e("./src/utils/data-structures.js"),B=e("./node_modules/@huggingface/jinja/dist/index.js"),Q=e("./src/models/whisper/common_whisper.js");async function a(aA,R){const H=await Promise.all([(0,t.getModelJSON)(aA,"tokenizer.json",!0,R),(0,t.getModelJSON)(aA,"tokenizer_config.json",!0,R)]);return R.legacy!==null&&(H[1].legacy=R.legacy),H}function r(aA,R){const H=[];let $=0;for(const oA of aA.matchAll(R)){const DA=oA[0];$<oA.index&&H.push(aA.slice($,oA.index)),DA.length>0&&H.push(DA),$=oA.index+DA.length}return $<aA.length&&H.push(aA.slice($)),H}function d(aA,R=!0){if(aA.Regex!==void 0){let H=aA.Regex.replace(/\\([#&~])/g,"$1");for(const[$,oA]of x)H=H.replaceAll($,oA);return new RegExp(H,"gu")}else if(aA.String!==void 0){const H=(0,i.escapeRegExp)(aA.String);return new RegExp(R?H:`(${H})`,"gu")}else return console.warn("Unknown pattern type:",aA),null}function c(aA){return new Map(Object.entries(aA))}function f(aA){const R=aA.dims;switch(R.length){case 1:return aA.tolist();case 2:if(R[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return aA.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${R.length}.`)}}function k(aA){return aA.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function u(aA){return aA.replace(/\p{M}/gu,"")}function D(aA){return u(aA.toLowerCase())}function G(aA){return aA>=19968&&aA<=40959||aA>=13312&&aA<=19903||aA>=131072&&aA<=173791||aA>=173824&&aA<=177983||aA>=177984&&aA<=178207||aA>=178208&&aA<=183983||aA>=63744&&aA<=64255||aA>=194560&&aA<=195103}function h(aA,R,H){const $=[];let oA=0;for(;oA<aA.length;){if($.push(aA[oA]),(R.get(aA[oA])??H)!==H){++oA;continue}for(;++oA<aA.length&&(R.get(aA[oA])??H)===H;)R.get($.at(-1))!==H&&($[$.length-1]+=aA[oA])}return $}function y(aA){return aA.match(/\S+/g)||[]}const M="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",m=new RegExp(`^[${M}]+$`,"gu"),_=".,!?…。，、।۔،",x=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],[` ?[^(\\s|[${_}])]+`,` ?[^\\s${_}]+`]]);class b{constructor(R){this.content=R.content,this.id=R.id,this.single_word=R.single_word??!1,this.lstrip=R.lstrip??!1,this.rstrip=R.rstrip??!1,this.special=R.special??!1,this.normalized=R.normalized??null}}class X extends I.Callable{constructor(R){super(),this.config=R,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(R,...H){switch(R.type){case"WordPiece":return new Z(R);case"Unigram":return new T(R,...H);case"BPE":return new tA(R);default:if(R.vocab)return Array.isArray(R.vocab)?new T(R,...H):Object.hasOwn(R,"continuing_subword_prefix")&&Object.hasOwn(R,"unk_token")?Object.hasOwn(R,"merges")?new tA(R):new Z(R):new BA(R,...H);throw new Error(`Unknown TokenizerModel type: ${R.type}`)}}_call(R){return R=this.encode(R),this.fuse_unk&&(R=h(R,this.tokens_to_ids,this.unk_token_id)),R}encode(R){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(R){return R.map(H=>this.tokens_to_ids.get(H)??this.unk_token_id)}convert_ids_to_tokens(R){return R.map(H=>this.vocab[H]??this.unk_token)}}class Z extends X{constructor(R){super(R),this.tokens_to_ids=c(R.vocab),this.unk_token_id=this.tokens_to_ids.get(R.unk_token),this.unk_token=R.unk_token,this.max_input_chars_per_word=R.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[H,$]of this.tokens_to_ids)this.vocab[$]=H}encode(R){const H=[];for(const $ of R){const oA=[...$];if(oA.length>this.max_input_chars_per_word){H.push(this.unk_token);continue}let DA=!1,GA=0;const jA=[];for(;GA<oA.length;){let XA=oA.length,ZA=null;for(;GA<XA;){let $A=oA.slice(GA,XA).join("");if(GA>0&&($A=this.config.continuing_subword_prefix+$A),this.tokens_to_ids.has($A)){ZA=$A;break}--XA}if(ZA===null){DA=!0;break}jA.push(ZA),GA=XA}DA?H.push(this.unk_token):H.push(...jA)}return H}}class T extends X{constructor(R,H){super(R);const $=R.vocab.length;this.vocab=new Array($),this.scores=new Array($);for(let oA=0;oA<$;++oA)[this.vocab[oA],this.scores[oA]]=R.vocab[oA];this.unk_token_id=R.unk_id,this.unk_token=this.vocab[R.unk_id],this.tokens_to_ids=new Map(this.vocab.map((oA,DA)=>[oA,DA])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=H.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,C.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new s.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(R){const H=R.chars,$=1;let oA=0;for(;oA<H.length;){let DA=!1;const GA=H.slice(oA).join(""),jA=this.trie.commonPrefixSearch(GA);for(const XA of jA){const ZA=this.tokens_to_ids.get(XA),$A=this.scores[ZA],fe=(0,i.len)(XA);R.insert(oA,fe,$A,ZA),!DA&&fe===$&&(DA=!0)}DA||R.insert(oA,$,this.unk_score,this.unk_token_id),oA+=$}}tokenize(R){const H=new s.TokenLattice(R,this.bos_token_id,this.eos_token_id);return this.populateNodes(H),H.tokens()}encode(R){const H=[];for(const $ of R){const oA=this.tokenize($);H.push(...oA)}return H}}const CA=(()=>{const aA=[...Array.from({length:94},(oA,DA)=>DA+33),...Array.from({length:12},(oA,DA)=>DA+161),...Array.from({length:82},(oA,DA)=>DA+174)],R=aA.slice();let H=0;for(let oA=0;oA<256;++oA)aA.includes(oA)||(aA.push(oA),R.push(256+H),H+=1);const $=R.map(oA=>String.fromCharCode(oA));return Object.fromEntries(aA.map((oA,DA)=>[oA,$[DA]]))})(),eA=(0,i.reverseDictionary)(CA);class tA extends X{constructor(R){super(R),this.tokens_to_ids=c(R.vocab),this.unk_token_id=this.tokens_to_ids.get(R.unk_token),this.unk_token=R.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[$,oA]of this.tokens_to_ids)this.vocab[oA]=$;const H=Array.isArray(R.merges[0]);this.merges=H?R.merges:R.merges.map($=>$.split(" ",2)),this.bpe_ranks=new Map(this.merges.map(($,oA)=>[JSON.stringify($),oA])),this.end_of_word_suffix=R.end_of_word_suffix,this.continuing_subword_suffix=R.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 s.LRUCache(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(R){if(R.length===0)return[];const H=this.cache.get(R);if(H!==void 0)return H;const $=Array.from(R);this.end_of_word_suffix&&($[$.length-1]+=this.end_of_word_suffix);let oA=[];if($.length>1){const DA=new s.PriorityQueue((XA,ZA)=>XA.score<ZA.score);let GA={token:$[0],bias:0,prev:null,next:null},jA=GA;for(let XA=1;XA<$.length;++XA){const ZA={bias:XA/$.length,token:$[XA],prev:jA,next:null};jA.next=ZA,this._add_node(DA,jA),jA=ZA}for(;!DA.isEmpty();){const XA=DA.pop();if(XA.deleted||!XA.next||XA.next.deleted)continue;if(XA.deleted=!0,XA.next.deleted=!0,XA.prev){const $A={...XA.prev};XA.prev.deleted=!0,XA.prev=$A,$A.prev?$A.prev.next=$A:GA=$A}const ZA={token:XA.token+XA.next.token,bias:XA.bias,prev:XA.prev,next:XA.next.next};ZA.prev?(ZA.prev.next=ZA,this._add_node(DA,ZA.prev)):GA=ZA,ZA.next&&(ZA.next.prev=ZA,this._add_node(DA,ZA))}for(let XA=GA;XA!==null;XA=XA.next)oA.push(XA.token)}else oA=$;if(this.continuing_subword_suffix)for(let DA=0;DA<oA.length-1;++DA)oA[DA]+=this.continuing_subword_suffix;return R.length<this.max_length_to_cache&&this.cache.put(R,oA),oA}_add_node(R,H){const $=this.bpe_ranks.get(JSON.stringify([H.token,H.next.token]));$!==void 0&&(H.score=$+H.bias,R.push(H))}encode(R){const H=[];for(const $ of R){if(this.ignore_merges&&this.tokens_to_ids.has($)){H.push($);continue}const oA=this.bpe($);for(const DA of oA)if(this.tokens_to_ids.has(DA))H.push(DA);else if(this.byte_fallback){const GA=Array.from(this.text_encoder.encode(DA)).map(jA=>`<0x${jA.toString(16).toUpperCase().padStart(2,"0")}>`);GA.every(jA=>this.tokens_to_ids.has(jA))?H.push(...GA):H.push(this.unk_token)}else H.push(this.unk_token)}return H}}class BA extends X{constructor(R,H){super(R),this.tokens_to_ids=c(H.target_lang?R.vocab[H.target_lang]:R.vocab),this.bos_token=H.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=H.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=H.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=H.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[$,oA]of this.tokens_to_ids)this.vocab[oA]=$}encode(R){return R}}class sA extends I.Callable{constructor(R){super(),this.config=R}static fromConfig(R){if(R===null)return null;switch(R.type){case"BertNormalizer":return new LA(R);case"Precompiled":return new xg(R);case"Sequence":return new ie(R);case"Replace":return new cA(R);case"NFC":return new P(R);case"NFD":return new U(R);case"NFKC":return new z(R);case"NFKD":return new v(R);case"Strip":return new nA(R);case"StripAccents":return new YA(R);case"Lowercase":return new _A(R);case"Prepend":return new PA(R);default:throw new Error(`Unknown Normalizer type: ${R.type}`)}}normalize(R){throw Error("normalize should be implemented in subclass.")}_call(R){return this.normalize(R)}}class cA extends sA{normalize(R){const H=d(this.config.pattern);return H===null?R:R.replaceAll(H,this.config.content)}}class dA extends sA{form=void 0;normalize(R){return R=R.normalize(this.form),R}}class P extends dA{form="NFC"}class U extends dA{form="NFD"}class z extends dA{form="NFKC"}class v extends dA{form="NFKD"}class nA extends sA{normalize(R){return this.config.strip_left&&this.config.strip_right?R=R.trim():(this.config.strip_left&&(R=R.trimStart()),this.config.strip_right&&(R=R.trimEnd())),R}}class YA extends sA{normalize(R){return R=u(R),R}}class _A extends sA{normalize(R){return R=R.toLowerCase(),R}}class PA extends sA{normalize(R){return R=this.config.prepend+R,R}}class ie extends sA{constructor(R){super(R),this.normalizers=R.normalizers.map(H=>sA.fromConfig(H))}normalize(R){return this.normalizers.reduce((H,$)=>$.normalize(H),R)}}class LA extends sA{_tokenize_chinese_chars(R){const H=[];for(let $=0;$<R.length;++$){const oA=R[$],DA=oA.charCodeAt(0);G(DA)?(H.push(" "),H.push(oA),H.push(" ")):H.push(oA)}return H.join("")}stripAccents(R){return R.normalize("NFD").replace(/\p{Mn}/gu,"")}_is_control(R){switch(R){case"	":case`
`:case"\r":return!1;default:return/^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(R)}}_clean_text(R){const H=[];for(const $ of R){const oA=$.charCodeAt(0);oA===0||oA===65533||this._is_control($)||(/^\s$/.test($)?H.push(" "):H.push($))}return H.join("")}normalize(R){return this.config.clean_text&&(R=this._clean_text(R)),this.config.handle_chinese_chars&&(R=this._tokenize_chinese_chars(R)),this.config.lowercase?(R=R.toLowerCase(),this.config.strip_accents!==!1&&(R=this.stripAccents(R))):this.config.strip_accents&&(R=this.stripAccents(R)),R}}class AA extends I.Callable{static fromConfig(R){if(R===null)return null;switch(R.type){case"BertPreTokenizer":return new hA(R);case"Sequence":return new De(R);case"Whitespace":return new gg(R);case"WhitespaceSplit":return new kg(R);case"Metaspace":return new tg(R);case"ByteLevel":return new V(R);case"Split":return new fA(R);case"Punctuation":return new bA(R);case"Digits":return new NA(R);case"Replace":return new bI(R);default:throw new Error(`Unknown PreTokenizer type: ${R.type}`)}}pre_tokenize_text(R,H){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(R,H){return(Array.isArray(R)?R.map($=>this.pre_tokenize_text($,H)):this.pre_tokenize_text(R,H)).flat()}_call(R,H){return this.pre_tokenize(R,H)}}class hA extends AA{constructor(R){super(),this.pattern=new RegExp(`[^\\s${M}]+|[${M}]`,"gu")}pre_tokenize_text(R,H){return R.trim().match(this.pattern)||[]}}class V extends AA{constructor(R){super(),this.config=R,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=CA,this.text_encoder=new TextEncoder}pre_tokenize_text(R,H){return this.add_prefix_space&&!R.startsWith(" ")&&(R=" "+R),(this.use_regex?R.match(this.pattern)||[]:[R]).map(oA=>Array.from(this.text_encoder.encode(oA),DA=>this.byte_encoder[DA]).join(""))}}class fA extends AA{constructor(R){super(),this.config=R,this.pattern=d(this.config.pattern,this.config.invert)}pre_tokenize_text(R,H){return this.pattern===null?[]:this.config.invert?R.match(this.pattern)||[]:this.config.behavior?.toLowerCase()==="removed"?R.split(this.pattern).filter($=>$):r(R,this.pattern)}}class bA extends AA{constructor(R){super(),this.config=R,this.pattern=new RegExp(`[^${M}]+|[${M}]+`,"gu")}pre_tokenize_text(R,H){return R.match(this.pattern)||[]}}class NA extends AA{constructor(R){super(),this.config=R;const H=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(H,"gu")}pre_tokenize_text(R,H){return R.match(this.pattern)||[]}}class pA extends I.Callable{constructor(R){super(),this.config=R}static fromConfig(R){if(R===null)return null;switch(R.type){case"TemplateProcessing":return new xA(R);case"ByteLevel":return new vA(R);case"RobertaProcessing":return new MA(R);case"BertProcessing":return new kA(R);case"Sequence":return new ge(R);default:throw new Error(`Unknown PostProcessor type: ${R.type}`)}}post_process(R,...H){throw Error("post_process should be implemented in subclass.")}_call(R,...H){return this.post_process(R,...H)}}class kA extends pA{constructor(R){super(R),this.cls=R.cls[0],this.sep=R.sep[0]}post_process(R,H=null,{add_special_tokens:$=!0}={}){$&&(R=(0,i.mergeArrays)([this.cls],R,[this.sep]));let oA=new Array(R.length).fill(0);if(H!==null){const DA=$&&this instanceof MA?[this.sep]:[],GA=$?[this.sep]:[];R=(0,i.mergeArrays)(R,DA,H,GA),oA=(0,i.mergeArrays)(oA,new Array(H.length+DA.length+GA.length).fill(1))}return{tokens:R,token_type_ids:oA}}}class MA extends kA{}class xA extends pA{constructor(R){super(R),this.single=R.single,this.pair=R.pair}post_process(R,H=null,{add_special_tokens:$=!0}={}){const oA=H===null?this.single:this.pair;let DA=[],GA=[];for(const jA of oA)"SpecialToken"in jA?$&&(DA.push(jA.SpecialToken.id),GA.push(jA.SpecialToken.type_id)):"Sequence"in jA&&(jA.Sequence.id==="A"?(DA=(0,i.mergeArrays)(DA,R),GA=(0,i.mergeArrays)(GA,new Array(R.length).fill(jA.Sequence.type_id))):jA.Sequence.id==="B"&&(DA=(0,i.mergeArrays)(DA,H),GA=(0,i.mergeArrays)(GA,new Array(H.length).fill(jA.Sequence.type_id))));return{tokens:DA,token_type_ids:GA}}}class vA extends pA{post_process(R,H=null){return H&&(R=(0,i.mergeArrays)(R,H)),{tokens:R}}}class ge extends pA{constructor(R){super(R),this.processors=R.processors.map(H=>pA.fromConfig(H))}post_process(R,H=null,$={}){let oA;for(const DA of this.processors)if(DA instanceof vA)R=DA.post_process(R).tokens,H&&(H=DA.post_process(H).tokens);else{const GA=DA.post_process(R,H,$);R=GA.tokens,oA=GA.token_type_ids}return{tokens:R,token_type_ids:oA}}}class SA extends I.Callable{constructor(R){super(),this.config=R,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=R.trim_offsets}static fromConfig(R){if(R===null)return null;switch(R.type){case"WordPiece":return new Ae(R);case"Metaspace":return new Og(R);case"ByteLevel":return new oe(R);case"Replace":return new re(R);case"ByteFallback":return new HA(R);case"Fuse":return new zA(R);case"Strip":return new Be(R);case"Sequence":return new Ne(R);case"CTC":return new se(R);case"BPEDecoder":return new Pe(R);default:throw new Error(`Unknown Decoder type: ${R.type}`)}}_call(R){return this.decode(R)}decode(R){return this.decode_chain(R).join("")}decode_chain(R){throw Error("`decode_chain` should be implemented in subclass.")}}class re extends SA{decode_chain(R){const H=d(this.config.pattern);return H===null?R:R.map($=>$.replaceAll(H,this.config.content))}}class HA extends SA{constructor(R){super(R),this.text_decoder=new TextDecoder}decode_chain(R){const H=[];let $=[];for(const oA of R){let DA=null;if(oA.length===6&&oA.startsWith("<0x")&&oA.endsWith(">")){const GA=parseInt(oA.slice(3,5),16);isNaN(GA)||(DA=GA)}if(DA!==null)$.push(DA);else{if($.length>0){const GA=this.text_decoder.decode(Uint8Array.from($));H.push(GA),$=[]}H.push(oA)}}if($.length>0){const oA=this.text_decoder.decode(Uint8Array.from($));H.push(oA),$=[]}return H}}class zA extends SA{decode_chain(R){return[R.join("")]}}class Be extends SA{constructor(R){super(R),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(R){return R.map(H=>{let $=0;for(let DA=0;DA<this.start&&H[DA]===this.content;++DA){$=DA+1;continue}let oA=H.length;for(let DA=0;DA<this.stop;++DA){const GA=H.length-DA-1;if(H[GA]===this.content){oA=GA;continue}else break}return H.slice($,oA)})}}class Ae extends SA{constructor(R){super(R),this.cleanup=R.cleanup}decode_chain(R){return R.map((H,$)=>($!==0&&(H.startsWith(this.config.prefix)?H=H.replace(this.config.prefix,""):H=" "+H),this.cleanup&&(H=k(H)),H))}}class oe extends SA{constructor(R){super(R),this.byte_decoder=eA,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(R){const H=R.join(""),$=new Uint8Array([...H].map(DA=>this.byte_decoder[DA]));return this.text_decoder.decode($)}decode_chain(R){const H=[];let $=[];for(const oA of R)this.added_tokens.find(DA=>DA.content===oA)!==void 0?($.length>0&&(H.push(this.convert_tokens_to_string($)),$=[]),H.push(oA)):$.push(oA);return $.length>0&&H.push(this.convert_tokens_to_string($)),H}}class se extends SA{constructor(R){super(R),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(R){if(R.length===0)return"";const H=[R[0]];for(let DA=1;DA<R.length;++DA)R[DA]!==H.at(-1)&&H.push(R[DA]);let oA=H.filter(DA=>DA!==this.pad_token).join("");return this.cleanup&&(oA=k(oA).replaceAll(this.word_delimiter_token," ").trim()),oA}decode_chain(R){return[this.convert_tokens_to_string(R)]}}class Ne extends SA{constructor(R){super(R),this.decoders=R.decoders.map(H=>SA.fromConfig(H))}decode_chain(R){return this.decoders.reduce((H,$)=>$.decode_chain(H),R)}}class Pe extends SA{constructor(R){super(R),this.suffix=this.config.suffix}decode_chain(R){return R.map((H,$)=>H.replaceAll(this.suffix,$===R.length-1?"":" "))}}class pe extends SA{decode_chain(R){let H="";for(let $=1;$<R.length;$+=2)H+=R[$];return[H]}}class tg extends AA{constructor(R){super(),this.addPrefixSpace=R.add_prefix_space,this.replacement=R.replacement,this.strRep=R.str_rep||this.replacement,this.prepend_scheme=R.prepend_scheme??"always"}pre_tokenize_text(R,{section_index:H=void 0}={}){let $=R.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!$.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&H===0)&&($=this.strRep+$),[$]}}class Og extends SA{constructor(R){super(R),this.addPrefixSpace=R.add_prefix_space,this.replacement=R.replacement}decode_chain(R){const H=[];for(let $=0;$<R.length;++$){let oA=R[$].replaceAll(this.replacement," ");this.addPrefixSpace&&$==0&&oA.startsWith(" ")&&(oA=oA.substring(1)),H.push(oA)}return H}}class xg extends sA{constructor(R){super(R),this.charsmap=R.precompiled_charsmap}normalize(R){return R=R.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),R=R.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),R.includes("～")?R=R.split("～").map($=>$.normalize("NFKC")).join("～"):R=R.normalize("NFKC"),R}}class De extends AA{constructor(R){super(),this.tokenizers=R.pretokenizers.map(H=>AA.fromConfig(H))}pre_tokenize_text(R,H){return this.tokenizers.reduce(($,oA)=>oA.pre_tokenize($,H),[R])}}class gg extends AA{constructor(R){super()}pre_tokenize_text(R,H){return R.match(/\w+|[^\w\s]+/g)||[]}}class kg extends AA{constructor(R){super()}pre_tokenize_text(R,H){return y(R)}}class bI extends AA{constructor(R){super(),this.config=R,this.pattern=d(this.config.pattern),this.content=this.config.content}pre_tokenize_text(R,H){return this.pattern===null?[R]:[R.replaceAll(this.pattern,this.config.content)]}}const xI=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function pI(aA,R,H,$){for(const oA of Object.keys(aA)){const DA=R-aA[oA].length,GA=H(oA),jA=new Array(DA).fill(GA);aA[oA]=$==="right"?(0,i.mergeArrays)(aA[oA],jA):(0,i.mergeArrays)(jA,aA[oA])}}function yI(aA,R){for(const H of Object.keys(aA))aA[H].length=R}class de extends I.Callable{return_token_type_ids=!1;padding_side="right";constructor(R,H){super(),this.config=H,this.normalizer=sA.fromConfig(R.normalizer),this.pre_tokenizer=AA.fromConfig(R.pre_tokenizer),this.model=X.fromConfig(R.model,H),this.post_processor=pA.fromConfig(R.post_processor),this.decoder=SA.fromConfig(R.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const $ of R.added_tokens){const oA=new b($);this.added_tokens.push(oA),this.model.tokens_to_ids.set(oA.content,oA.id),this.model.vocab[oA.id]=oA.content,oA.special&&(this.special_tokens.push(oA.content),this.all_special_ids.push(oA.id))}if(this.additional_special_tokens=H.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_splitter=new s.DictionarySplitter(this.added_tokens.map($=>$.content)),this.added_tokens_map=new Map(this.added_tokens.map($=>[$.content,$])),this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=H.model_max_length,this.remove_space=H.remove_space,this.clean_up_tokenization_spaces=H.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=H.do_lowercase_and_remove_accent??!1,H.padding_side&&(this.padding_side=H.padding_side),this.add_bos_token=H.add_bos_token,this.add_eos_token=H.add_eos_token,this.legacy=!1,this.chat_template=H.chat_template??null,Array.isArray(this.chat_template)){const $=Object.create(null);for(const{name:oA,template:DA}of this.chat_template){if(typeof oA!="string"||typeof DA!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');$[oA]=DA}this.chat_template=$}this._compiled_template_cache=new Map}getToken(...R){for(const H of R){const $=this.config[H];if($)if(typeof $=="object"){if($.__type==="AddedToken")return $.content;throw Error(`Unknown token: ${$}`)}else return $}return null}static async from_pretrained(R,{progress_callback:H=null,config:$=null,cache_dir:oA=null,local_files_only:DA=!1,revision:GA="main",legacy:jA=null}={}){const XA=await a(R,{progress_callback:H,config:$,cache_dir:oA,local_files_only:DA,revision:GA,legacy:jA});return new this(...XA)}_call(R,{text_pair:H=null,add_special_tokens:$=!0,padding:oA=!1,truncation:DA=null,max_length:GA=null,return_tensor:jA=!0,return_token_type_ids:XA=null}={}){const ZA=Array.isArray(R);let $A;if(ZA){if(R.length===0)throw Error("text array must be non-empty");if(H!==null){if(Array.isArray(H)){if(R.length!==H.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");$A=R.map((me,Ye)=>this._encode_plus(me,{text_pair:H[Ye],add_special_tokens:$,return_token_type_ids:XA}))}else $A=R.map(me=>this._encode_plus(me,{add_special_tokens:$,return_token_type_ids:XA}))}else{if(R==null)throw Error("text may not be null or undefined");if(Array.isArray(H))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");$A=[this._encode_plus(R,{text_pair:H,add_special_tokens:$,return_token_type_ids:XA})]}if(GA===null?GA=this.model_max_length:DA===null&&(oA===!0?(console.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),GA=this.model_max_length):oA===!1&&(console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),DA=!0)),oA===!0&&(GA=Math.min((0,C.max)($A.map(me=>me.input_ids.length))[0],GA??1/0)),GA=Math.min(GA,this.model_max_length??1/0),oA||DA)for(let me=0;me<$A.length;++me)$A[me].input_ids.length!==GA&&($A[me].input_ids.length>GA?DA&&yI($A[me],GA):oA&&pI($A[me],GA,Ye=>Ye==="input_ids"?this.pad_token_id:0,this.padding_side));const fe={};if(jA){if(!(oA&&DA)&&$A.some(Ye=>{for(const Lg of Object.keys(Ye))if(Ye[Lg].length!==$A[0][Lg]?.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 me=[$A.length,$A[0].input_ids.length];for(const Ye of Object.keys($A[0]))fe[Ye]=new o.Tensor("int64",BigInt64Array.from($A.flatMap(Lg=>Lg[Ye]).map(BigInt)),me)}else{for(const me of Object.keys($A[0]))fe[me]=$A.map(Ye=>Ye[me]);if(!ZA)for(const me of Object.keys(fe))fe[me]=fe[me][0]}return fe}_encode_text(R){if(R===null)return null;const H=this.added_tokens_splitter.split(R);for(let oA=0;oA<H.length;++oA){const DA=this.added_tokens_map.get(H[oA]);DA&&(DA.lstrip&&oA>0&&(H[oA-1]=H[oA-1].trimEnd()),DA.rstrip&&oA<H.length-1&&(H[oA+1]=H[oA+1].trimStart()))}return H.flatMap((oA,DA)=>{if(oA.length===0)return[];if(this.added_tokens_map.has(oA))return[oA];if(this.remove_space===!0&&(oA=oA.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(oA=D(oA)),this.normalizer!==null&&(oA=this.normalizer(oA)),oA.length===0)return[];const GA=this.pre_tokenizer!==null?this.pre_tokenizer(oA,{section_index:DA}):[oA];return this.model(GA)})}_encode_plus(R,{text_pair:H=null,add_special_tokens:$=!0,return_token_type_ids:oA=null}={}){const{tokens:DA,token_type_ids:GA}=this._tokenize_helper(R,{pair:H,add_special_tokens:$}),jA=this.model.convert_tokens_to_ids(DA),XA={input_ids:jA,attention_mask:new Array(jA.length).fill(1)};return(oA??this.return_token_type_ids)&&GA&&(XA.token_type_ids=GA),XA}_tokenize_helper(R,{pair:H=null,add_special_tokens:$=!1}={}){const oA=this._encode_text(R),DA=this._encode_text(H);return this.post_processor?this.post_processor(oA,DA,{add_special_tokens:$}):{tokens:(0,i.mergeArrays)(oA??[],DA??[])}}tokenize(R,{pair:H=null,add_special_tokens:$=!1}={}){return this._tokenize_helper(R,{pair:H,add_special_tokens:$}).tokens}encode(R,{text_pair:H=null,add_special_tokens:$=!0,return_token_type_ids:oA=null}={}){return this._encode_plus(R,{text_pair:H,add_special_tokens:$,return_token_type_ids:oA}).input_ids}batch_decode(R,H={}){return R instanceof o.Tensor&&(R=R.tolist()),R.map($=>this.decode($,H))}decode(R,H={}){if(R instanceof o.Tensor&&(R=f(R)),!Array.isArray(R)||R.length===0||!(0,i.isIntegralNumber)(R[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(R,H)}decode_single(R,{skip_special_tokens:H=!1,clean_up_tokenization_spaces:$=null}){let oA=this.model.convert_ids_to_tokens(R);H&&(oA=oA.filter(GA=>!this.special_tokens.includes(GA)));let DA=this.decoder?this.decoder(oA):oA.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(DA=DA.replaceAll(this.decoder.end_of_word_suffix," "),H&&(DA=DA.trim())),($??this.clean_up_tokenization_spaces)&&(DA=k(DA)),DA}get_chat_template({chat_template:R=null,tools:H=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const $=this.chat_template;if(R!==null&&Object.hasOwn($,R))R=$[R];else if(R===null)if(H!==null&&"tool_use"in $)R=$.tool_use;else if("default"in $)R=$.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 ${Object.keys($).sort()}.`)}else if(R===null)if(this.chat_template)R=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 R}apply_chat_template(R,{tools:H=null,documents:$=null,chat_template:oA=null,add_generation_prompt:DA=!1,tokenize:GA=!0,padding:jA=!1,truncation:XA=!1,max_length:ZA=null,return_tensor:$A=!0,return_dict:fe=!1,tokenizer_kwargs:me={},...Ye}={}){if(oA=this.get_chat_template({chat_template:oA,tools:H}),typeof oA!="string")throw Error(`chat_template must be a string, but got ${typeof oA}`);let Lg=this._compiled_template_cache.get(oA);Lg===void 0&&(Lg=new B.Template(oA),this._compiled_template_cache.set(oA,Lg));const og=Object.create(null);for(const ig of xI){const eI=this.getToken(ig);eI&&(og[ig]=eI)}const ng=Lg.render({messages:R,add_generation_prompt:DA,tools:H,documents:$,...og,...Ye});if(GA){const ig=this._call(ng,{add_special_tokens:!1,padding:jA,truncation:XA,max_length:ZA,return_tensor:$A,...me});return fe?ig:ig.input_ids}return ng}}class J extends de{return_token_type_ids=!0}class xe extends de{return_token_type_ids=!0}class ke extends de{return_token_type_ids=!0}class EI extends de{return_token_type_ids=!0}class N extends de{return_token_type_ids=!0}class gA extends de{return_token_type_ids=!0}class O extends de{return_token_type_ids=!0}class IA extends de{return_token_type_ids=!0}class rA extends de{return_token_type_ids=!0}class yA extends de{}class JA extends de{}class ae extends de{return_token_type_ids=!0;constructor(R,H){super(R,H),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class Ee extends de{return_token_type_ids=!0}class Ie extends de{}class Se extends de{}class Te extends de{}class wg extends de{constructor(R,H){super(R,H),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter($=>this.languageRegex.test($)),this.lang_to_token=$=>$}_build_translation_inputs(R,H,$){return dg(this,R,H,$)}}class je extends wg{}class lg extends de{}class Wg extends de{}const Ig="▁";class pg extends de{padding_side="left";constructor(R,H){super(R,H),this.legacy=H.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new tg({replacement:Ig,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(R){if(R===null)return null;if(this.legacy||R.length===0)return super._encode_text(R);let H=super._encode_text(Ig+R.replaceAll(Ig," "));return H.length>1&&H[0]===Ig&&this.special_tokens.includes(H[1])&&(H=H.slice(1)),H}}class iI extends de{}class cg extends de{}class Zg extends de{}class oI extends de{}class mg extends de{}class nI extends de{}class CI extends de{}class ag extends de{}class jg extends de{}function dg(aA,R,H,$){if(!("language_codes"in aA)||!Array.isArray(aA.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in aA)||!(aA.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in aA)||typeof aA.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const oA=$.src_lang,DA=$.tgt_lang;if(!aA.language_codes.includes(DA))throw new Error(`Target language code "${DA}" is not valid. Must be one of: {${aA.language_codes.join(", ")}}`);if(oA!==void 0){if(!aA.language_codes.includes(oA))throw new Error(`Source language code "${oA}" is not valid. Must be one of: {${aA.language_codes.join(", ")}}`);for(const GA of aA.post_processor.config.single)if("SpecialToken"in GA&&aA.languageRegex.test(GA.SpecialToken.id)){GA.SpecialToken.id=aA.lang_to_token(oA);break}}return $.forced_bos_token_id=aA.model.convert_tokens_to_ids([aA.lang_to_token(DA)])[0],aA._call(R,H)}class Mg extends de{constructor(R,H){super(R,H),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter($=>this.languageRegex.test($)),this.lang_to_token=$=>$}_build_translation_inputs(R,H,$){return dg(this,R,H,$)}}class tI extends de{constructor(R,H){super(R,H),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter($=>this.languageRegex.test($)).map($=>$.slice(2,-2)),this.lang_to_token=$=>`__${$}__`}_build_translation_inputs(R,H,$){return dg(this,R,H,$)}}class lI extends de{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(R,{return_timestamps:H=!1,return_language:$=!1,time_precision:oA=null,force_full_sequences:DA=!0}={}){if(oA===null)throw Error("Must specify time_precision");let GA=null;const jA=H==="word";function XA(){return{language:GA,timestamp:[null,null],text:""}}const ZA=[];let $A=XA(),fe=0;const me=this.timestamp_begin,Lg=me+1500;let og=[],ng=[],ig=!1,eI=null;const cI=new Set(this.all_special_ids);for(const Qg of R){const Fg=Qg.tokens,Vg=jA?Qg.token_timestamps:null;let zg=null,mI=me;if("stride"in Qg){const[Kg,Bg,Sg]=Qg.stride;if(fe-=Bg,eI=Kg-Sg,Bg&&(mI=Bg/oA+me),Sg)for(let yg=Fg.length-1;yg>=0;--yg){const $g=Number(Fg[yg]);if($g>=me){if(zg!==null&&($g-me)*oA<eI)break;zg=$g}}}let Rg=[],dI=[];for(let Kg=0;Kg<Fg.length;++Kg){const Bg=Number(Fg[Kg]);if(cI.has(Bg)){const Sg=this.decode([Bg]),yg=Q.WHISPER_LANGUAGE_MAPPING.get(Sg.slice(2,-2));if(yg!==void 0){if(GA!==null&&yg!==GA&&!H){og.push(Rg);const $g=this.findLongestCommonSequence(og)[0],WI=this.decode($g);$A.text=WI,ZA.push($A),og=[],Rg=[],$A=XA()}GA=$A.language=yg}}else if(Bg>=me&&Bg<=Lg){const Sg=(Bg-me)*oA+fe,yg=(0,C.round)(Sg,2);if(zg!==null&&Bg>=zg)ig=!0;else if(ig||og.length>0&&Bg<mI)ig=!1;else if($A.timestamp[0]===null)$A.timestamp[0]=yg;else if(yg!==$A.timestamp[0]){$A.timestamp[1]=yg,og.push(Rg),jA&&ng.push(dI);const[$g,WI]=this.findLongestCommonSequence(og,ng),_i=this.decode($g);$A.text=_i,jA&&($A.words=this.collateWordTimestamps($g,WI,GA)),ZA.push($A),og=[],Rg=[],ng=[],dI=[],$A=XA()}}else if(Rg.push(Bg),jA){let Sg=(0,C.round)(Vg[Kg]+fe,2),yg;if(Kg+1<Vg.length){yg=(0,C.round)(Vg[Kg+1]+fe,2);const $g=this.decode([Bg]);m.test($g)&&(yg=(0,C.round)(Math.min(Sg+oA,yg),2))}else yg=null;dI.push([Sg,yg])}}if("stride"in Qg){const[Kg,Bg,Sg]=Qg.stride;fe+=Kg-Sg}Rg.length>0?(og.push(Rg),jA&&ng.push(dI)):og.every(Kg=>Kg.length===0)&&($A=XA(),og=[],Rg=[],ng=[],dI=[])}if(og.length>0){if(DA&&H)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. 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Dropping to prevent bad inference.");let Rg;GA?Rg=Fg.filter((Bg,Sg)=>Bg===mI[Sg]&&XA[sI+Sg]<=H[ZA][Vg+Sg]).length:Rg=Fg.filter((Bg,Sg)=>Bg===mI[Sg]).length;const dI=Pg/1e4,Kg=Rg/Pg+dI;Rg>1&&Kg>fe&&(fe=Kg,me=[sI,Qg,Vg,zg])}const[Lg,og,ng,ig]=me,eI=Math.floor((og+Lg)/2),cI=Math.floor((ig+ng)/2);DA.push(...$.slice(0,eI)),$=$A.slice(cI),oA=$.length,GA&&(jA.push(...XA.slice(0,eI)),XA=H[ZA].slice(cI))}return DA.push(...$),GA?(jA.push(...XA),[DA,jA]):[DA,[]]}collateWordTimestamps(R,H,$){const[oA,DA,GA]=this.combineTokensIntoWords(R,$),jA=[];for(let XA=0;XA<oA.length;++XA){const ZA=GA[XA];jA.push({text:oA[XA],timestamp:[H[ZA.at(0)][0],H[ZA.at(-1)][1]]})}return jA}combineTokensIntoWords(R,H,$=`"'“¡¿([{-`,oA=`"'.。,，!！?？:：”)]}、`){H=H??"english";let DA,GA,jA;return["chinese","japanese","thai","lao","myanmar"].includes(H)?[DA,GA,jA]=this.splitTokensOnUnicode(R):[DA,GA,jA]=this.splitTokensOnSpaces(R),this.mergePunctuations(DA,GA,jA,$,oA)}decode(R,H){let $;return H?.decode_with_timestamps?(R instanceof o.Tensor&&(R=f(R)),$=this.decodeWithTimestamps(R,H)):$=super.decode(R,H),$}decodeWithTimestamps(R,H){const $=H?.time_precision??.02,oA=Array.from(this.all_special_ids).at(-1)+1;let DA=[[]];for(let GA of R)if(GA=Number(GA),GA>=oA){const jA=((GA-oA)*$).toFixed(2);DA.push(`<|${jA}|>`),DA.push([])}else DA[DA.length-1].push(GA);return DA=DA.map(GA=>typeof GA=="string"?GA:super.decode(GA,H)),DA.join("")}splitTokensOnUnicode(R){const H=this.decode(R,{decode_with_timestamps:!0}),$="�",oA=[],DA=[],GA=[];let jA=[],XA=[],ZA=0;for(let $A=0;$A<R.length;++$A){const fe=R[$A];jA.push(fe),XA.push($A);const me=this.decode(jA,{decode_with_timestamps:!0});(!me.includes($)||H[ZA+me.indexOf($)]===$)&&(oA.push(me),DA.push(jA),GA.push(XA),jA=[],XA=[],ZA+=me.length)}return[oA,DA,GA]}splitTokensOnSpaces(R){const[H,$,oA]=this.splitTokensOnUnicode(R),DA=[],GA=[],jA=[],XA=new RegExp(`^[${M}]$`,"gu");for(let ZA=0;ZA<H.length;++ZA){const $A=H[ZA],fe=$[ZA],me=oA[ZA],Ye=fe[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),Lg=$A.startsWith(" "),og=$A.trim(),ng=XA.test(og);if(Ye||Lg||ng||DA.length===0)DA.push($A),GA.push(fe),jA.push(me);else{const ig=DA.length-1;DA[ig]+=$A,GA[ig].push(...fe),jA[ig].push(...me)}}return[DA,GA,jA]}mergePunctuations(R,H,$,oA,DA){const GA=structuredClone(R),jA=structuredClone(H),XA=structuredClone($);let ZA=GA.length-2,$A=GA.length-1;for(;ZA>=0;)GA[ZA].startsWith(" ")&&oA.includes(GA[ZA].trim())?(GA[$A]=GA[ZA]+GA[$A],jA[$A]=(0,i.mergeArrays)(jA[ZA],jA[$A]),XA[$A]=(0,i.mergeArrays)(XA[ZA],XA[$A]),GA[ZA]="",jA[ZA]=[],XA[ZA]=[]):$A=ZA,--ZA;for(ZA=0,$A=1;$A<GA.length;)!GA[ZA].endsWith(" ")&&DA.includes(GA[$A])?(GA[ZA]+=GA[$A],jA[ZA]=(0,i.mergeArrays)(jA[ZA],jA[$A]),XA[ZA]=(0,i.mergeArrays)(XA[ZA],XA[$A]),GA[$A]="",jA[$A]=[],XA[$A]=[]):ZA=$A,++$A;return[GA.filter(fe=>fe),jA.filter(fe=>fe.length>0),XA.filter(fe=>fe.length>0)]}}class AI extends de{}class fI extends de{}class ve extends de{}class qA extends de{constructor(R,H){super(R,H),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter($=>this.languageRegex.test($)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(R){if(R===null)return null;const[H,...$]=R.trim().split(this.languageRegex);if($.length===0)return super._encode_text(H);if($.length===2){const[oA,DA]=$;return this.supported_language_codes.includes(oA)||console.warn(`Unsupported language code "${oA}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,i.mergeArrays)([oA],super._encode_text(DA))}}}class n extends de{}class F extends de{}class K extends de{}class W extends de{}class iA extends de{}class QA extends de{constructor(R,H){super(R,H),this.decoder=new pe({})}}class uA extends de{}class RA extends de{}class Ce extends de{}class Ke{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:Ie,DistilBertTokenizer:yA,CamembertTokenizer:JA,DebertaTokenizer:N,DebertaV2Tokenizer:gA,BertTokenizer:J,HerbertTokenizer:O,ConvBertTokenizer:IA,RoFormerTokenizer:rA,XLMTokenizer:ae,ElectraTokenizer:Ee,MobileBertTokenizer:ke,SqueezeBertTokenizer:EI,AlbertTokenizer:xe,GPT2Tokenizer:Se,BartTokenizer:Te,MBartTokenizer:wg,MBart50Tokenizer:je,RobertaTokenizer:lg,WhisperTokenizer:lI,CodeGenTokenizer:AI,CLIPTokenizer:fI,SiglipTokenizer:ve,MarianTokenizer:qA,BloomTokenizer:Wg,NllbTokenizer:Mg,M2M100Tokenizer:tI,LlamaTokenizer:pg,CodeLlamaTokenizer:iI,XLMRobertaTokenizer:cg,MPNetTokenizer:Zg,FalconTokenizer:oI,GPTNeoXTokenizer:mg,EsmTokenizer:nI,Wav2Vec2CTCTokenizer:n,BlenderbotTokenizer:F,BlenderbotSmallTokenizer:K,SpeechT5Tokenizer:W,NougatTokenizer:iA,VitsTokenizer:QA,Qwen2Tokenizer:CI,GemmaTokenizer:ag,Grok1Tokenizer:jg,CohereTokenizer:uA,MgpstrTokenizer:RA,Ernie4_5_Tokenizer:Ce,PreTrainedTokenizer:de};static async from_pretrained(R,{progress_callback:H=null,config:$=null,cache_dir:oA=null,local_files_only:DA=!1,revision:GA="main",legacy:jA=null}={}){const[XA,ZA]=await a(R,{progress_callback:H,config:$,cache_dir:oA,local_files_only:DA,revision:GA,legacy:jA}),$A=ZA.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer";let fe=this.TOKENIZER_CLASS_MAPPING[$A];return fe||(console.warn(`Unknown tokenizer class "${$A}", attempting to construct from base class.`),fe=de),new fe(XA,ZA)}}},"./src/utils/audio.js":(A,g,e)=>{e.r(g),e.d(g,{RawAudio:()=>Z,hamming:()=>r,hanning:()=>a,mel_filter_bank:()=>G,read_audio:()=>B,spectrogram:()=>_,window_function:()=>x});var I=e("./src/utils/hub.js"),i=e("./src/utils/maths.js"),t=e("./src/utils/core.js"),C=e("./src/env.js"),o=e("./src/utils/tensor.js"),s=e("?7992");async function B(T,CA){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. 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Error("fromCanvas() is only supported in browser environments.");const G=u.getContext("2d").getImageData(0,0,u.width,u.height).data;return new c(G,u.width,u.height,4)}static async fromURL(u){const D=await(0,i.getFile)(u);if(D.status!==200)throw new Error(`Unable to read image from "${u}" (${D.status} ${D.statusText})`);const G=await D.blob();return this.fromBlob(G)}static async fromBlob(u){if(a){const D=await Q(u),G=s(D.width,D.height).getContext("2d");return G.drawImage(D,0,0),new this(G.getImageData(0,0,D.width,D.height).data,D.width,D.height,4)}else{const D=o(await u.arrayBuffer());return await Q(D)}}static fromTensor(u,D="CHW"){if(u.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${u.dims.length} dimensions.`);if(D==="CHW")u=u.transpose(1,2,0);else if(D!=="HWC")throw new Error(`Unsupported channel format: ${D}`);if(!(u.data instanceof Uint8ClampedArray||u.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${u.type}`);switch(u.dims[2]){case 1:case 2:case 3:case 4:return new c(u.data,u.dims[1],u.dims[0],u.dims[2]);default:throw new Error(`Unsupported number of channels: ${u.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const u=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let D=0,G=0;D<this.data.length;D+=this.channels){const h=this.data[D],y=this.data[D+1],M=this.data[D+2];u[G++]=Math.round(.2989*h+.587*y+.114*M)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(u,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const u=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let D=0,G=0;D<this.data.length;++D)u[G++]=this.data[D],u[G++]=this.data[D],u[G++]=this.data[D];break;case 4:for(let D=0,G=0;D<this.data.length;D+=4)u[G++]=this.data[D],u[G++]=this.data[D+1],u[G++]=this.data[D+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(u,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const u=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let D=0,G=0;D<this.data.length;++D)u[G++]=this.data[D],u[G++]=this.data[D],u[G++]=this.data[D],u[G++]=255;break;case 3:for(let D=0,G=0;D<this.data.length;D+=3)u[G++]=this.data[D],u[G++]=this.data[D+1],u[G++]=this.data[D+2],u[G++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(u,this.width,this.height,4)}putAlpha(u){if(u.width!==this.width||u.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${u.width}x${u.height}`);if(u.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${u.channels}`);const D=this.data,G=u.data,h=this.width*this.height;if(this.channels===3){const y=new Uint8ClampedArray(h*4);for(let M=0,m=0,_=0;M<h;++M)y[_++]=D[m++],y[_++]=D[m++],y[_++]=D[m++],y[_++]=G[M];return this._update(y,this.width,this.height,4)}else if(this.channels===4){for(let y=0;y<h;++y)D[4*y+3]=G[y];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(u,D,{resample:G=2}={}){if(this.width===u&&this.height===D)return this;let h=r[G]??G;const y=(0,I.isNullishDimension)(u),M=(0,I.isNullishDimension)(D);if(y&&M)return this;if(y?u=D/this.height*this.width:M&&(D=u/this.width*this.height),a){const m=this.channels,_=this.toCanvas(),x=s(u,D).getContext("2d");return x.drawImage(_,0,0,u,D),new c(x.getImageData(0,0,u,D).data,u,D,4).convert(m)}else{let m=this.toSharp();switch(h){case"box":case"hamming":(h==="box"||h==="hamming")&&(console.warn(`Resampling method ${h} is not yet supported. Using bilinear instead.`),h="bilinear");case"nearest":case"bilinear":case"bicubic":m=m.affine([u/this.width,0,0,D/this.height],{interpolator:h});break;case"lanczos":m=m.resize({width:u,height:D,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${h} is not supported.`)}return await Q(m)}}async pad([u,D,G,h]){if(u=Math.max(u,0),D=Math.max(D,0),G=Math.max(G,0),h=Math.max(h,0),u===0&&D===0&&G===0&&h===0)return this;if(a){const y=this.channels,M=this.toCanvas(),m=this.width+u+D,_=this.height+G+h,x=s(m,_).getContext("2d");return x.drawImage(M,0,0,this.width,this.height,u,G,this.width,this.height),new c(x.getImageData(0,0,m,_).data,m,_,4).convert(y)}else{const y=this.toSharp().extend({left:u,right:D,top:G,bottom:h});return await Q(y)}}async crop([u,D,G,h]){if(u=Math.max(u,0),D=Math.max(D,0),G=Math.min(G,this.width-1),h=Math.min(h,this.height-1),u===0&&D===0&&G===this.width-1&&h===this.height-1)return this;const y=G-u+1,M=h-D+1;if(a){const m=this.channels,_=this.toCanvas(),x=s(y,M).getContext("2d");return x.drawImage(_,u,D,y,M,0,0,y,M),new c(x.getImageData(0,0,y,M).data,y,M,4).convert(m)}else{const m=this.toSharp().extract({left:u,top:D,width:y,height:M});return await Q(m)}}async center_crop(u,D){if(this.width===u&&this.height===D)return this;const G=(this.width-u)/2,h=(this.height-D)/2;if(a){const y=this.channels,M=this.toCanvas(),m=s(u,D).getContext("2d");let _=0,x=0,b=0,X=0;return G>=0?_=G:b=-G,h>=0?x=h:X=-h,m.drawImage(M,_,x,u,D,b,X,u,D),new c(m.getImageData(0,0,u,D).data,u,D,4).convert(y)}else{let y=this.toSharp();if(G>=0&&h>=0)y=y.extract({left:Math.floor(G),top:Math.floor(h),width:u,height:D});else if(G<=0&&h<=0){const M=Math.floor(-h),m=Math.floor(-G);y=y.extend({top:M,left:m,right:u-this.width-m,bottom:D-this.height-M})}else{let M=[0,0],m=0;h<0?(M[0]=Math.floor(-h),M[1]=D-this.height-M[0]):m=Math.floor(h);let 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BA=CA[T];this._singleRealTransform2(M,y,Z,BA>>>1,b>>>1)}else for(Z=0,T=0;Z<_;Z+=X,++T){const BA=CA[T];this._singleRealTransform4(M,y,Z,BA>>>1,b>>>1,m)}const eA=this.table;for(b>>=2;b>=2;b>>=2){X=_/b<<1;const BA=X>>>1,sA=BA>>>1,cA=sA>>>1;for(Z=0;Z<_;Z+=X)for(let dA=0,P=0;dA<=cA;dA+=2,P+=b){const U=Z+dA,z=U+sA,v=z+sA,nA=v+sA,YA=y[U],_A=y[U+1],PA=y[z],ie=y[z+1],LA=y[v],AA=y[v+1],hA=y[nA],V=y[nA+1],fA=YA,bA=_A,NA=eA[P],pA=m*eA[P+1],kA=PA*NA-ie*pA,MA=PA*pA+ie*NA,xA=eA[2*P],vA=m*eA[2*P+1],ge=LA*xA-AA*vA,SA=LA*vA+AA*xA,re=eA[3*P],HA=m*eA[3*P+1],zA=hA*re-V*HA,Be=hA*HA+V*re,Ae=fA+ge,oe=bA+SA,se=fA-ge,Ne=bA-SA,Pe=kA+zA,pe=MA+Be,tg=m*(kA-zA),Og=m*(MA-Be);if(y[U]=Ae+Pe,y[U+1]=oe+pe,y[z]=se+Og,y[z+1]=Ne-tg,dA===0){y[v]=Ae-Pe,y[v+1]=oe-pe;continue}if(dA===cA)continue;const xg=Z+sA-dA,De=Z+BA-dA;y[xg]=se-m*Og,y[xg+1]=-Ne-m*tg,y[De]=Ae-m*Pe,y[De+1]=-oe+m*pe}}const tA=_>>>1;for(let BA=2;BA<tA;BA+=2)y[_-BA]=y[BA],y[_-BA+1]=-y[BA+1]}_singleRealTransform2(y,M,m,_,x){const b=y[_],X=y[_+x];M[m]=b+X,M[m+1]=0,M[m+2]=b-X,M[m+3]=0}_singleRealTransform4(y,M,m,_,x,b){const X=x*2,Z=x*3,T=y[_],CA=y[_+x],eA=y[_+X],tA=y[_+Z],BA=T+eA,sA=T-eA,cA=CA+tA,dA=b*(CA-tA);M[m]=BA+cA,M[m+1]=0,M[m+2]=sA,M[m+3]=-dA,M[m+4]=BA-cA,M[m+5]=0,M[m+6]=sA,M[m+7]=dA}}class c{constructor(y){const M=2*(y-1),m=2*(2*y-1),_=2**Math.ceil(Math.log2(m));this.bufferSize=_,this._a=M;const x=new Float64Array(m),b=new Float64Array(_);this._chirpBuffer=new Float64Array(_),this._buffer1=new Float64Array(_),this._buffer2=new Float64Array(_),this._outBuffer1=new Float64Array(_),this._outBuffer2=new Float64Array(_);const X=-2*Math.PI/y,Z=Math.cos(X),T=Math.sin(X);for(let CA=0;CA<m>>1;++CA){const eA=(CA+1-y)**2/2,tA=Math.sqrt(Z**2+T**2)**eA,BA=eA*Math.atan2(T,Z),sA=2*CA;x[sA]=tA*Math.cos(BA),x[sA+1]=tA*Math.sin(BA),b[sA]=x[sA],b[sA+1]=-x[sA+1]}this._slicedChirpBuffer=x.subarray(M,m),this._f=new d(_>>1),this._f.transform(this._chirpBuffer,b)}_transform(y,M,m){const _=this._buffer1,x=this._buffer2,b=this._outBuffer1,X=this._outBuffer2,Z=this._chirpBuffer,T=this._slicedChirpBuffer,CA=this._a;if(m)for(let eA=0;eA<T.length;eA+=2){const tA=eA+1,BA=eA>>1,sA=M[BA];_[eA]=sA*T[eA],_[tA]=sA*T[tA]}else for(let eA=0;eA<T.length;eA+=2){const tA=eA+1;_[eA]=M[eA]*T[eA]-M[tA]*T[tA],_[tA]=M[eA]*T[tA]+M[tA]*T[eA]}this._f.transform(b,_);for(let eA=0;eA<Z.length;eA+=2){const tA=eA+1;x[eA]=b[eA]*Z[eA]-b[tA]*Z[tA],x[tA]=b[eA]*Z[tA]+b[tA]*Z[eA]}this._f.inverseTransform(X,x);for(let eA=0;eA<X.length;eA+=2){const tA=X[eA+CA],BA=X[eA+CA+1],sA=T[eA],cA=T[eA+1];y[eA]=tA*sA-BA*cA,y[eA+1]=tA*cA+BA*sA}}transform(y,M){this._transform(y,M,!1)}realTransform(y,M){this._transform(y,M,!0)}}class f{constructor(y){this.fft_length=y,this.isPowerOfTwo=r(y),this.isPowerOfTwo?(this.fft=new d(y),this.outputBufferSize=2*y):(this.fft=new c(y),this.outputBufferSize=this.fft.bufferSize)}realTransform(y,M){this.fft.realTransform(y,M)}transform(y,M){this.fft.transform(y,M)}}function 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b=y,X=M,Z=[],T=[];for(;b>0||X>0;)switch(Z.push(b-1),T.push(X-1),x[b][X]){case 0:--b,--X;break;case 1:--b;break;case 2:--X;break;default:throw new Error(`Internal error in dynamic time warping. 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this.ort_tensor.type}get data(){return this.ort_tensor.data}get size(){return this.ort_tensor.size}get location(){return this.ort_tensor.location}ort_tensor;constructor(...U){return(0,i.isONNXTensor)(U[0])?this.ort_tensor=U[0]:this.ort_tensor=new i.Tensor(U[0],U[1],U[2]),new Proxy(this,{get:(z,v)=>{if(typeof v=="string"){let nA=Number(v);if(Number.isInteger(nA))return z._getitem(nA)}return z[v]},set:(z,v,nA)=>z[v]=nA})}dispose(){this.ort_tensor.dispose()}*[Symbol.iterator](){const[U,...z]=this.dims;if(z.length>0){const v=z.reduce((nA,YA)=>nA*YA);for(let nA=0;nA<U;++nA)yield this._subarray(nA,v,z)}else yield*this.data}_getitem(U){const[z,...v]=this.dims;if(U=y(U,z),v.length>0){const nA=v.reduce((YA,_A)=>YA*_A);return this._subarray(U,nA,v)}else return new o(this.type,[this.data[U]],v)}indexOf(U){const z=this.data;for(let v=0;v<z.length;++v)if(z[v]==U)return v;return-1}_subarray(U,z,v){const nA=U*z,YA=(U+1)*z,_A="subarray"in 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o(this.type,this.data.slice(),this.dims.slice())}slice(...U){const z=[],v=[];for(let AA=0;AA<this.dims.length;++AA){let hA=U[AA];if(hA==null)v.push([0,this.dims[AA]]),z.push(this.dims[AA]);else if(typeof hA=="number")hA=y(hA,this.dims[AA],AA),v.push([hA,hA+1]);else if(Array.isArray(hA)&&hA.length===2){let[V,fA]=hA;if(V=V===null?0:y(V,this.dims[AA],AA,!1),fA=fA===null?this.dims[AA]:y(fA,this.dims[AA],AA,!1),V>fA)throw new Error(`Invalid slice: ${hA}`);const bA=[Math.max(V,0),Math.min(fA,this.dims[AA])];v.push(bA),z.push(bA[1]-bA[0])}else throw new Error(`Invalid slice: ${hA}`)}const nA=v.map(([AA,hA])=>hA-AA),YA=nA.reduce((AA,hA)=>AA*hA),_A=this.data,PA=new _A.constructor(YA),ie=this.stride();let LA=!0;for(let AA=1;AA<nA.length;++AA)if(v[AA][0]!==0||v[AA][1]!==this.dims[AA]){LA=!1;break}if(LA){const AA=v[0][0]*ie[0],hA=v[0][1]*ie[0];if(ArrayBuffer.isView(_A))PA.set(_A.subarray(AA,hA));else if(Array.isArray(_A)){const V=_A.slice(AA,hA);for(let fA=0;fA<V.length;++fA)PA[fA]=V[fA]}else throw new Error("Unsupported data type for slicing")}else for(let AA=0;AA<YA;++AA){let hA=0;for(let V=nA.length-1,fA=AA;V>=0;--V){const bA=nA[V];hA+=(fA%bA+v[V][0])*ie[V],fA=Math.floor(fA/bA)}PA[AA]=_A[hA]}return new o(this.type,PA,z)}permute(...U){return B(this,U)}transpose(...U){return this.permute(...U)}sum(U=null,z=!1){return this.norm(1,U,z)}norm(U="fro",z=null,v=!1){if(U==="fro")U=2;else if(typeof U=="string")throw Error(`Unsupported norm: ${U}`);const nA=this.data,YA=(LA,AA)=>LA+AA**U;if(z===null){const LA=nA.reduce(YA,0)**(1/U);return new o(this.type,[LA],[])}const[_A,PA,ie]=_(YA,this,z,v);if(U!==1)for(let LA=0;LA<PA.length;++LA)PA[LA]=PA[LA]**(1/U);return new o(_A,PA,ie)}normalize_(U=2,z=1){z=y(z,this.dims.length);const v=this.norm(U,z,!0),nA=this.data,YA=v.data;for(let _A=0;_A<nA.length;++_A){let PA=0;for(let ie=this.dims.length-1,LA=_A,AA=1;ie>=0;--ie){const hA=this.dims[ie];if(ie!==z){const V=LA%hA;PA+=V*AA,AA*=this.dims[ie]}LA=Math.floor(LA/hA)}nA[_A]/=YA[PA]}return this}normalize(U=2,z=1){return this.clone().normalize_(U,z)}stride(){return X(this.dims)}squeeze(U=null){return new o(this.type,this.data,G(this.dims,U))}squeeze_(U=null){return this.dims=G(this.dims,U),this}unsqueeze(U=null){return new o(this.type,this.data,h(this.dims,U))}unsqueeze_(U=null){return this.dims=h(this.dims,U),this}flatten_(U=0,z=-1){z=(z+this.dims.length)%this.dims.length;let v=this.dims.slice(0,U),nA=this.dims.slice(U,z+1),YA=this.dims.slice(z+1);return this.dims=[...v,nA.reduce((_A,PA)=>_A*PA,1),...YA],this}flatten(U=0,z=-1){return this.clone().flatten_(U,z)}view(...U){let z=-1;for(let nA=0;nA<U.length;++nA)if(U[nA]===-1){if(z!==-1)throw new Error("Only one dimension can be inferred");z=nA}const v=this.data;if(z!==-1){const nA=U.reduce((YA,_A,PA)=>PA!==z?YA*_A:YA,1);U[z]=v.length/nA}return new o(this.type,v,U)}neg_(){const U=this.data;for(let z=0;z<U.length;++z)U[z]=-U[z];return this}neg(){return this.clone().neg_()}gt(U){const z=new 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Sf=l.load_image;l.load_video;l.log_softmax;l.magnitude;l.matmul;l.max;l.mean;l.mean_pooling;l.medianFilter;l.mel_filter_bank;l.min;l.ones;l.ones_like;l.permute;l.permute_data;var zh=l.pipeline;l.quantize_embeddings;l.rand;l.read_audio;l.rfft;l.round;l.slice;l.softmax;l.spectrogram;l.stack;l.std_mean;l.topk;l.window_function;l.zeros;l.zeros_like;function Nf(A){let g="";for(let e=0;e<A.length;e++)g+=String.fromCharCode(A[e]);return btoa(g)}function Rf(A){const g=atob(A);return new Uint8Array([...g].map(e=>e.charCodeAt(0)))}function $i(A,g){if(A.length<g.length)return!1;for(let e=0;e<g.length;e++)if(A[e]!=g[e])return!1;return!0}function $h(A){return $i(A,[137,80,78,71,13,10,26,10])?"image/png":$i(A,[255,216,255])?"image/jpeg":$i(A,[73,73,42,0])?"image/tiff":$i(A,[66,77])?"image/bmp":$i(A,[71,73,70,56,55,97])||$i(A,[71,73,70,56,55,97])?"image/gif":"application/octet-stream"}function _f(A){if(A==null)return null;if(typeof A=="string")return 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g=[];return{async batch(e){g.push(await A(e))},async finalize(){let e=g.reduce((B,Q)=>B+Q.dims[0],0),I=g[0].dims[1],i=2,t=new Float32Array(e*I),C=0;for(let B=0;B<g.length;B++){let Q=g[B].dims[0]*I;t.set(g[B].data.subarray(0,Q),C),C+=Q}let o=await Tp(e,I,i,t,{metric:"cosine"});o.run();let s=new Float32Array(o.embedding);return o.destroy(),s}}}Fr("embedding.new",async A=>{let g=new Date().getTime()+"-"+Math.random(),e={device:"webgpu"};if(A.type=="text"){let I=await zh("feature-extraction",A.model,e),i=Xh(async t=>{let C=t.map(s=>s?.toString()??""),o=await I(C,{pooling:"mean",normalize:!0});if(o.dims.length==3&&(o=o.mean(1)),o.dims.length!=2||o.dims[0]!=t.length)throw new Error("output embedding dimension mismatch");return o});return Vt.set(g,i),g}else if(A.type=="image"){let I=await zh("image-feature-extraction",A.model,e),i=Xh(async t=>{let C=t.map(s=>_f(s)??"");C=await Promise.all(C.map(s=>Sf(s)));let o=await I(C);if(o.dims.length==3&&(o=o.mean(1)),o.dims.length!=2||o.dims[0]!=C.length)throw new Error("output embedding dimension mismatch");return o});return Vt.set(g,i),g}else throw new Error("invalid data type")});Fr("embedding.batch",async(A,g)=>{await Vt.get(A)?.batch(g)});Fr("embedding.finalize",async A=>{let g=Vt.get(A);if(g)return Vt.delete(A),g.finalize()});