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jgMoAgAiATYCACABQdyNA0cEQCABIAEoAgRBAWo2AgQLQYSPA0EBOgAACyAAQYCPAygCACIBNgIAIAFB3I0DRwRAIAEgASgCBEEBajYCBAsgAAvGBQIFfwJ9IAIoAgAhBiAAAn8CQCABKAIEIgRFDQAgASgCAAJ/IARBAWsgBnEgBGkiB0EBTQ0AGiAGIAQgBksNABogBiAEcAsiBUECdGooAgAiAkUNACACKAIAIgJFDQAgB0EBTQRAIARBAWshBwNAAkAgBiACKAIEIghHBEAgByAIcSAFRw0EDAELIAIoAgggBkcNAEEADAQLIAIoAgAiAg0ACwwBCwNAAkAgBiACKAIEIgdHBEAgBCAHTQR/IAcgBHAFIAcLIAVHDQMMAQsgAigCCCAGRw0AQQAMAwsgAigCACICDQALC0EMEBIiAiAGNgIEIAJBADYCACACIAMoAgA2AgggASoCECEJIAEoAgxBAWqzIQoCQCAEBEAgCSAEs5QgCl1FDQELQQIhBQJAIAQgBEEBa3FBAEcgBEEDSXIgBEEBdHIiAyAKIAmVjfwBIgcgAyAHSxsiA0EBRg0AIAMgA0EBa3FFBEAgAyEFDAELIAMQyQEhBSABKAIEIQQLAkAgBCAFTwRAIAQgBU0NASABKAIMsyABKgIQlY38ASEDIAUCfwJAIARBA0kNACAEaUEBSw0AIANBAUEgIANBAWtna3QgA0ECSRsMAQsgAxDJAQsiByAFIAdLGyIFIARPDQELIAEgBRDEAgsgASgCBCIEIARBAWsiA3FFBEAgAyAGcSEFDAELIAQgBksEQCAGIQUMAQsgBiAEcCEFCwJAIAEoAgAiBiAFQQJ0aiIFKAIAIgNFBEAgAiABKAIINgIAIAEgAjYCCCAFIAFBCGo2AgAgAigCACIDRQ0BIAMoAgQhAwJAIAQgBEEBayIFcUUEQCADIAVxIQMMAQsgAyAESQ0AIAMgBHAhAwsgBiADQQJ0aiACNgIADAELIAIgAygCADYCACADIAI2AgALIAEgASgCDEEBajYCDEEBCzoABCAAIAI2AgALCABB/////wcLBQBB/wALdgEBfyMAQRBrIgIkACACIAA2AgwCQCAAIAFGDQADQCACIAFBBGsiATYCCCAAIAFPDQEgAigCDCIAKAIAIQEgACACKAIIIgAoAgA2AgAgACABNgIAIAIgAigCDEEEaiIANgIMIAIoAgghAQwACwALIAJBEGokAAusAQEBfwJAIANBgBBxRQ0AIAJFDQAgA0HKAHEiBEEIRg0AIARBwABGDQAgAEErOgAAIABBAWohAAsgA0GABHEEQCAAQSM6AAAgAEEBaiEACwNAIAEtAAAiBARAIAAgBDoAACAAQQFqIQAgAUEBaiEBDAELCyAAAn9B7wAgA0HKAHEiAUHAAEYNABpB2ABB+AAgA0GAgAFxGyABQQhGDQAaQeQAQfUAIAIbCzoAAAvkBQEKfyMAQYABayIIJAAgCCABNgJ8IAhB9wE2AhAgCEEANgIIIAggCEEQaiIJKAIANgIMAkACQAJAIAMgAmtBDG0iCkHlAE8EQCAKEBciCUUNASAIKAIIIQEgCCAJNgIIIAEEQCABIAgoAgwRAQALCyAJIQcgAiEBA0AgASADRgRAA0AgACAIQfwAaiIBECFBASAKGwRAIAAgARAhBEAgBSAFKAIAQQJyNgIACwNAIAIgA0YNBiAJLQAAQQJGDQcgCUEBaiEJIAJBDGohAgwACwALAn8gACgCACIHKAIMIgEgBygCEEYEQCAHIAcoAgAoAiQRAAAMAQsgASgCAAshDSAGRQRAIAQgDSAEKAIAKAIcEQMAIQ0LIA5BAWohDEEAIQ8gCSEHIAIhAQNAIAEgA0YEQCAMIQ4gD0UNAiAAEC0aIAkhByACIQEgCiALakECSQ0CA0AgASADRgRADAQFAkAgBy0AAEECRw0AAn8gAS0AC0EHdgRAIAEoAgQMAQsgAS0AC0H/AHELIA5GDQAgB0EAOgAAIAtBAWshCwsgB0EBaiEHIAFBDGohAQwBCwALAAUCQCAHLQAAQQFHDQACfyABLQALQQd2BEAgASgCAAwBCyABCyAOQQJ0aigCACEQAkAgBgR/IBAFIAQgECAEKAIAKAIcEQMACyANRgRAQQEhDwJ/IAEtAAtBB3YEQCABKAIEDAELIAEtAAtB/wBxCyAMRw0CIAdBAjoAACALQQFqIQsMAQsgB0EAOgAACyAKQQFrIQoLIAdBAWohByABQQxqIQEMAQsACwALAAUgB0ECQQECfyABLQALQQd2BEAgASgCBAwBCyABLQALQf8AcQtFIgwbOgAAIAdBAWohByABQQxqIQEgCyAMaiELIAogDGshCgwBCwALAAsQIwALIAUgBSgCAEEEcjYCAAsgCCgCCCEAIAhBADYCCCAABEAgACAIKAIMEQEACyAIQYABaiQAIAIL1iwCFH8EfSMAQRBrIgskACAAQQA2AgggAEIANwIAAkAgASgCCEUNACACIAEoAoABIAEoAowBIAEoAngiCSABKAIMbGpqIAEoAqgBIAEoAqQBEQsAIRkgASgCQCIGQQBKBEADQCAGIghBAWshBgNAAkAgASgCkAEgCUECdGooAgAgASgCECAGbGoiBS8BACEMIAEgASgC5AFBAWo2AuQBIAEgDCABKALgAWo2AuABIAxFDQAgBUEEaiEOQQAhBUEAIQ0CQANAIA4gBUECdGooAgAiByABKAIETQRAIAIgASgCgAEgASgCjAEgASgCDCAHbGpqIAEoAqgBIAEoAqQBEQsAIhogGSAZIBpeIgobIRkgByAJIAobIQkgCiANciENIAwgBUEBaiIFRw0BDAILC0EIEBVBtRMQKkHE4gJBBBABAAsgDUEBcQ0BCwsgCEEBSg0ACwsCQAJAIAQNACABKAIUDQAgASgCKCIEIAMgAyAESRshDiMAQSBrIgckACAHIAk2AhwgASgCRBDpASIRLwEAIRMgESgCBCEVIAtBADYCCCALQgA3AgAgB0EANgIUIAdCADcCDCAHIAIiDCABKAKAASABKAKMASABKAIMIAlsamogASgCqAEgASgCpAERCwAiGjgCCCALIAdBCGogB0EcaiICEEAgByAHKgIIjDgCBCAHQQxqIAdBBGogAhBAIBUgBygCHEEBdGogEzsBAAJAIAcoAgwiBiAHKAIQIgpGDQADQCAaIAYqAgAiGYxdDQEgBigCBCEJAkAgCiAGa0EDdSISQQJIDQAgEkECa0EBdiEQQQAhBCAGIQIDQCAEQQF0Ig1BAXIhBSACIgggBEEDdGoiD0EIaiECAkAgEiANQQJqIg1MBEAgBSEEDAELIAUhBCAPKgIIIA9BEGoiBSoCAF1FDQAgBSECIA0hBAsgCCACKgIAOAIAIAggAigCBDYCBCAEIBBMDQALIApBCGsiBCACRgRAIAIgCTYCBCACIBk4AgAMAQsgAiAEKgIAOAIAIAIgCkEEayIFKAIANgIEIAQgGTgCACAFIAk2AgAgAiAGa0EIakEDdSIEQQJIDQAgBiAEQQJrQQF2IgRBA3RqIggqAgAiGSACKgIAIhtdRQ0AIAIoAgQhBQNAAkAgAiAZOAIAIAIgCCICKAIENgIEIARFDQAgBiAEQQFrQQF2IgRBA3RqIggqAgAiGSAbXQ0BCwsgAiAFNgIEIAIgGzgCAAsgByAKQQhrIgo2AhAgASgChAEgASgCjAEgASgCDCAJbGpqIhQvAQAiFgRAQQEhAgJAAkADQAJAAkAgFSAUIAIiDUECdGooAgAiBkEBdGoiAi8BACATRg0AIAIgEzsBACAaIAwgASgCgAEgASgCjAEgASgCDCAGbGpqIAEoAqgBIAEoAqQBEQsAIhteRSAOIAsoAgQgCygCAGtBA3VNcQ0AIBuMIRkCQCAHKAIQIgIgBygCFCIISQRAIAIgBjYCBCACIBk4AgAgAkEIaiEIDAELIAIgBygCDCICayIEQQN1IglBAWoiBUGAgICAAk8NAiAEQf////8BIAggAmsiCEECdSIKIAUgBSAKSRsgCEH4////B08bIgUEfyAFQYCAgIACTw0FIAVBA3QQEgVBAAsiCmoiCCAGNgIEIAggGTgCACAIIAlBA3RrIQkgBARAIAkgAiAE/AoAAAsgByAKIAVBA3RqNgIUIAcgCEEIaiIINgIQIAcgCTYCDCACRQ0AIAIQEQsgByAINgIQAkAgCCAHKAIMIglrQQN1IgJBAkgNACAJIAJBAmtBAXYiBEEDdGoiBSoCACIZIAhBCGsiAioCACIcXUUNACAIQQRrKAIAIQgDQAJAIAIgGTgCACACIAUiAigCBDYCBCAERQ0AIAkgBEEBa0EBdiIEQQN0aiIFKgIAIhkgHF0NAQsLIAIgCDYCBCACIBw4AgALAkAgCygCBCICIAsoAggiCEkEQCACIAY2AgQgAiAbOAIAIAJBCGohCgwBCyACIAsoAgAiAmsiBEEDdSIJQQFqIgVBgICAgAJPDQIgBEH/////ASAIIAJrIghBAnUiCiAFIAUgCkkbIAhB+P///wdPGyIFBH8gBUGAgICAAk8NBSAFQQN0EBIFQQALIgpqIgggBjYCBCAIIBs4AgAgCCAJQQN0ayEGIAQEQCAGIAIgBPwKAAALIAsgCiAFQQN0ajYCCCALIAhBCGoiCjYCBCALIAY2AgAgAkUNACACEBELIAsgCjYCBAJAIAogCygCACIGa0EDdSIIQQJIDQAgBiAIQQJrQQF2IgRBA3RqIgUqAgAiGSAKQQhrIgIqAgAiG11FDQAgCkEEaygCACEJA0ACQCACIBk4AgAgAiAFIgIoAgQ2AgQgBEUNACAGIARBAWtBAXYiBEEDdGoiBSoCACIZIBtdDQELCyACIAk2AgQgAiAbOAIACyAIIA5LBEADQAJAIAogBmtBA3UiEkECSA0AIBJBAmtBAXYhFyAGKAIEIQ8gBioCACEZQQAhBCAGIQIDQCAEQQF0IglBAXIhBSACIgggBEEDdGoiEEEIaiECAkAgEiAJQQJqIglMBEAgBSEEDAELIAUhBCAQKgIIIBBBEGoiBSoCAF1FDQAgBSECIAkhBAsgCCACKgIAOAIAIAggAigCBDYCBCAEIBdMDQALIApBCGsiBCACRgRAIAIgDzYCBCACIBk4AgAMAQsgAiAEKgIAOAIAIAIgCkEEayIFKAIANgIEIAQgGTgCACAFIA82AgAgAiAGa0EIakEDdSIEQQJIDQAgBiAEQQJrQQF2IgRBA3RqIgUqAgAiGSACKgIAIhtdRQ0AIAIoAgQhCANAAkAgAiAZOAIAIAIgBSICKAIENgIEIARFDQAgBiAEQQFrQQF2IgRBA3RqIgUqAgAiGSAbXQ0BCwsgAiAINgIEIAIgGzgCAAsgCyAKQQhrIgo2AgQgCiAGa0EDdSAOSw0ACwsgBiAKRg0AIAYqAgAhGgsgDUEBaiECIA0gFkcNAQwDCwsQFAALECQACyAHKAIQIQogBygCDCEGCyAGIApHDQALCyABKAJEIQIgAigCECIERQRAIAIQzQEgAigCECEECyACKAIEIgUgBEEIdkH8//8HcWoiBigCACIIIARB/wdxQQJ0aiINQQAgAigCCCAFRxsgCEYEfyAGQQRrKAIAQYAgagUgDQtBBGsgETYCAAwBCyACIQ0gASgCKCICIAMgAiADSxshDiAEIQgjAEEgayIHJAAgByAJNgIcIAEoAkQQ6QEiFS8BACETIBUoAgQhEiALQQA2AgggC0IANwIAIAdBADYCFCAHQgA3AgwCQAJAIAEoAowBIgQgASgCDCAJbCIFaiICIAEoAoQBai0AAkEBcQ0AIAgEQCAIIAIgASgCiAFqKAAAIAgoAgAoAgARAwBFDQEgASgCDCAJbCEFIAEoAowBIQQLIAcgDSABKAKAASAEIAVqaiABKAKoASABKAKkARELACIaOAIIIAsgB0EIaiAHQRxqIgIQQCAHIAcqAgiMOAIEIAdBDGogB0EEaiACEEAMAQsgB0H///97NgIIIAdBDGogB0EIaiAHQRxqEEBD//9/fyEaCyASIAcoAhxBAXRqIBM7AQACQCAHKAIMIgYgBygCECIKRg0AA0AgBigCBCEUIBogBioCAIxdBEAgCygCBCALKAIAa0EDdSAORg0CCwJAIAogBmtBA3UiEUECSA0AIBFBAmtBAXYhFiAGKAIEIQ8gBioCACEZQQAhBCAGIQIDQCAEQQF0IglBAXIhBSACIgwgBEEDdGoiEEEIaiECAkAgESAJQQJqIglMBEAgBSEEDAELIAUhBCAQKgIIIBBBEGoiBSoCAF1FDQAgBSECIAkhBAsgDCACKgIAOAIAIAwgAigCBDYCBCAEIBZMDQALIApBCGsiBCACRgRAIAIgDzYCBCACIBk4AgAMAQsgAiAEKgIAOAIAIAIgCkEEayIFKAIANgIEIAQgGTgCACAFIA82AgAgAiAGa0EIakEDdSIEQQJIDQAgBiAEQQJrQQF2IgRBA3RqIgUqAgAiGSACKgIAIhtdRQ0AIAIoAgQhDANAAkAgAiAZOAIAIAIgBSICKAIENgIEIARFDQAgBiAEQQFrQQF2IgRBA3RqIgUqAgAiGSAbXQ0BCwsgAiAMNgIEIAIgGzgCAAsgByAKQQhrIgo2AhAgASgChAEgASgCjAEgASgCDCAUbGpqIhYvAQAiFwRAQQEhCgJAAkADQAJAIAcgFiAKQQJ0aigCACICNgIIAkAgEiACQQF0aiIELwEAIBNGDQAgBCATOwEAIAcgDSABKAKAASABKAKMASABKAIMIAJsamogASgCqAEgASgCpAERCwAiGTgCBCAZIBpdRSAOIAsoAgQgCygCAGtBA3VNcQ0AIBmMIRkCQCAHKAIQIgIgBygCFCIGSQRAIAIgGTgCACACIAcoAgg2AgQgAkEIaiEGDAELIAIgBygCDCICayIEQQN1IgxBAWoiBUGAgICAAk8NAiAEQf////8BIAYgAmsiBkECdSIJIAUgBSAJSRsgBkH4////B08bIgUEfyAFQYCAgIACTw0FIAVBA3QQEgVBAAsiCWoiBiAZOAIAIAYgBygCCDYCBCAGIAxBA3RrIQwgBARAIAwgAiAE/AoAAAsgByAJIAVBA3RqNgIUIAcgBkEIaiIGNgIQIAcgDDYCDCACRQ0AIAIQEQsgByAGNgIQAkAgBiAHKAIMIgxrQQN1IgJBAkgNACAMIAJBAmtBAXYiBEEDdGoiBSoCACIZIAZBCGsiAioCACIbXUUNACAGQQRrKAIAIQYDQAJAIAIgGTgCACACIAUiAigCBDYCBCAERQ0AIAwgBEEBa0EBdiIEQQN0aiIFKgIAIhkgG10NAQsLIAIgBjYCBCACIBs4AgALAkAgASgCjAEgASgCDCAHKAIIbGoiAiABKAKEAWotAAJBAXENACAIBEAgCCACIAEoAogBaigAACAIKAIAKAIAEQMARQ0BCyALIAdBBGogB0EIahBACyAOIAsoAgQgCygCACIGa0EDdUkEQANAIAYoAgQhDwJAIAsoAgQiESAGa0EDdSIQQQJIDQAgEEECa0EBdiEYIAYqAgAhGUEAIQQgBiECA0AgBEEBdCIJQQFyIQUgAiIMIARBA3RqIhRBCGohAgJAIBAgCUECaiIJTARAIAUhBAwBCyAFIQQgFCoCCCAUQRBqIgUqAgBdRQ0AIAUhAiAJIQQLIAwgAioCADgCACAMIAIoAgQ2AgQgBCAYTA0ACyARQQhrIgQgAkYEQCACIA82AgQgAiAZOAIADAELIAIgBCoCADgCACACIBFBBGsiBSgCADYCBCAEIBk4AgAgBSAPNgIAIAIgBmtBCGpBA3UiBEECSA0AIAYgBEECa0EBdiIEQQN0aiIFKgIAIhkgAioCACIbXUUNACACKAIEIQwDQAJAIAIgGTgCACACIAUiAigCBDYCBCAERQ0AIAYgBEEBa0EBdiIEQQN0aiIFKgIAIhkgG10NAQsLIAIgDDYCBCACIBs4AgALIAsgEUEIayICNgIEIAIgBmtBA3UgDksNAAsLIAYgCygCBEYNACAGKgIAIRoLIAogF0YgCkEBaiEKRQ0BDAMLCxAUAAsQJAALIAcoAhAhCiAHKAIMIQYLIAYgCkcNAAsLIAEoAkQhAiACKAIQIgRFBEAgAhDNASACKAIQIQQLIAIoAgQiBSAEQQh2Qfz//wdxaiIGKAIAIgggBEH/B3FBAnRqIg1BACACKAIIIAVHGyAIRgR/IAZBBGsoAgBBgCBqBSANC0EEayAVNgIACyACIARBAWs2AhAgAiACKAIUQQFqNgIUIAcoAgwiAgRAIAcgAjYCECAHKAIUGiACEBELIAdBIGokACALKAIIGiADIAsoAgQiCSALKAIAIgRrQQN1IgxJBEADQAJAIAxBAkgNACAMQQJrQQF2IQ4gBCgCBCEHIAQqAgAhGUEAIQIgBCEFA0AgAkEBdCINQQFyIQYgBSIIIAJBA3RqIgpBCGohBQJAIAwgDUECaiINTARAIAYhAgwBCyAGIQIgCioCCCAKQRBqIgYqAgBdRQ0AIAYhBSANIQILIAggBSoCADgCACAIIAUoAgQ2AgQgAiAOTA0ACyAJQQhrIgIgBUYEQCAFIAc2AgQgBSAZOAIADAELIAUgAioCADgCACAFIAlBBGsiBigCADYCBCACIBk4AgAgBiAHNgIAIAUgBGtBCGpBA3UiAkECSA0AIAQgAkECa0EBdiICQQN0aiIGKgIAIhkgBSoCACIaXUUNACAFKAIEIQgDQAJAIAUgGTgCACAFIAYiBSgCBDYCBCACRQ0AIAQgAkEBa0EBdiICQQN0aiIGKgIAIhkgGl0NAQsLIAUgCDYCBCAFIBo4AgALIAlBCGsiCSAEa0EDdSIMIANLDQALCyAEIAlHBEADQCAEKgIAIRkgCyABKAKIASABKAKMASABKAIMIAQoAgRsamooAAA2AgQgCyAZOAIAIAkgBGtBA3UhDAJAIAAoAgQiAiAAKAIIIgZJBEAgAiALKQIANwIAIAAgAkEIajYCBAwBCwJAIAIgACgCACICayIDQQN1IghBAWoiBUGAgICAAkkEQCADQf////8BIAYgAmsiBkECdSINIAUgBSANSRsgBkH4////B08bIgUEfyAFQYCAgIACTw0CIAVBA3QQEgVBAAsiDWoiBiALKQIANwIAIAYgCEEDdGshCCADBEAgCCACIAP8CgAACyAAIA0gBUEDdGo2AgggACAGQQhqIgM2AgQgACAINgIAIAIEQCACEBELIAAgAzYCBAwCCxAUAAsQJAALAkAgACgCBCIDIAAoAgAiCGtBA3UiAkECSA0AIAggAkECa0EBdiIGQQN0aiIFKgIAIhkgA0EIayICKgIAIhpdIAUoAgQiDSADQQRrKAIAIgdJIBkgGlwbQQFHDQADQAJAIAUhAyACIA02AgQgAiAZOAIAIAZFDQAgBSECIAggBkEBa0EBdiIGQQN0aiIFKgIAIhkgGl0gBSgCBCINIAdJIBkgGlwbDQELCyADIAc2AgQgAyAaOAIACwJAIAxBAkgNACAMQQJrQQF2IQogBCgCBCENIAQqAgAhGUEAIQIgBCEFA0AgAkEBdCIIQQFyIQMgBSIGIAJBA3RqIgdBCGohBQJAIAwgCEECaiIITARAIAMhAgwBCyADIQIgByoCCCAHQRBqIgMqAgBdRQ0AIAMhBSAIIQILIAYgBSoCADgCACAGIAUoAgQ2AgQgAiAKTA0ACyAJQQhrIgIgBUYEQCAFIA02AgQgBSAZOAIADAELIAUgAioCADgCACAFIAlBBGsiAygCADYCBCACIBk4AgAgAyANNgIAIAUgBGtBCGpBA3UiAkECSA0AIAQgAkECa0EBdiICQQN0aiIGKgIAIhkgBSoCACIaXUUNACAFKAIEIQMDQAJAIAUgGTgCACAFIAYiBSgCBDYCBCACRQ0AIAQgAkEBa0EBdiICQQN0aiIGKgIAIhkgGl0NAQsLIAUgAzYCBCAFIBo4AgALIAlBCGsiCSAERw0ACwsgBEUNACAEEBELIAtBEGokAAviBQEKfyMAQYABayIIJAAgCCABNgJ8IAhB9wE2AhAgCEEANgIIIAggCEEQaiIJKAIANgIMAkACQAJAIAMgAmtBDG0iCkHlAE8EQCAKEBciCUUNASAIKAIIIQEgCCAJNgIIIAEEQCABIAgoAgwRAQALCyAJIQcgAiEBA0AgASADRgRAA0AgACAIQfwAaiIBECJBASAKGwRAIAAgARAiBEAgBSAFKAIAQQJyNgIACwNAIAIgA0YNBiAJLQAAQQJGDQcgCUEBaiEJIAJBDGohAgwACwALAn8gACgCACIHKAIMIgEgBygCEEYEQCAHIAcoAgAoAiQRAAAMAQsgAS0AAAvAIQ0gBkUEQCAEIA0gBCgCACgCDBEDACENCyAOQQFqIQxBACEPIAkhByACIQEDQCABIANGBEAgDCEOIA9FDQIgABAuGiAJIQcgAiEBIAogC2pBAkkNAgNAIAEgA0YEQAwEBQJAIActAABBAkcNAAJ/IAEtAAtBB3YEQCABKAIEDAELIAEtAAtB/wBxCyAORg0AIAdBADoAACALQQFrIQsLIAdBAWohByABQQxqIQEMAQsACwAFAkAgBy0AAEEBRw0AAn8gAS0AC0EHdgRAIAEoAgAMAQsgAQsgDmosAAAhEAJAIAYEfyAQBSAEIBAgBCgCACgCDBEDAAsgDUYEQEEBIQ8CfyABLQALQQd2BEAgASgCBAwBCyABLQALQf8AcQsgDEcNAiAHQQI6AAAgC0EBaiELDAELIAdBADoAAAsgCkEBayEKCyAHQQFqIQcgAUEMaiEBDAELAAsACwAFIAdBAkEBAn8gAS0AC0EHdgRAIAEoAgQMAQsgAS0AC0H/AHELRSIMGzoAACAHQQFqIQcgAUEMaiEBIAsgDGohCyAKIAxrIQoMAQsACwALECMACyAFIAUoAgBBBHI2AgALIAgoAgghACAIQQA2AgggAARAIAAgCCgCDBEBAAsgCEGAAWokACACC00BAn8gAS0AACECAkAgAC0AACIDRQ0AIAIgA0cNAANAIAEtAAEhAiAALQABIgNFDQEgAUEBaiEBIABBAWohACACIANGDQALCyADIAJrC7UDAQN/IwBBoAFrIgQkACAEIAAgBEGeAWogARsiBjYClAEgBCABQQFrIgBBACAAIAFNGzYCmAEgBEEAQZAB/AsAIARBfzYCTCAEQfYBNgIkIARBfzYCUCAEIARBnwFqNgIsIAQgBEGUAWo2AlQgBkEAOgAAQQAhBiMAQdABayIFJAAgBSADNgLMASAFQaABaiIAQQBBKPwLACAFIAUoAswBNgLIAQJAQQAgAiAFQcgBaiAFQdAAaiAAEIYDQQBIBEBBfyEADAELIAQoAkxBAEggBCAEKAIAIgFBX3E2AgACfwJAAkAgBCgCMEUEQCAEQdAANgIwIARBADYCHCAEQgA3AxAgBCgCLCEGIAQgBTYCLAwBCyAEKAIQDQELQX8gBBCGAg0BGgsgBCACIAVByAFqIAVB0ABqIAVBoAFqEIYDCyECIAYEQCAEQQBBACAEKAIkEQQAGiAEQQA2AjAgBCAGNgIsIARBADYCHCAEKAIUIQAgBEIANwMQIAJBfyAAGyECCyAEIAQoAgAiACABQSBxcjYCAEF/IAIgAEEgcRshAA0ACyAFQdABaiQAIARBoAFqJAAgAAseACAAIAEQ+wEgAEEANgJIIABBADoAUCAAQX82AEwLEgAgAEUEQEEADwsgACABELkBC4kCAAJAIAAEfyABQf8ATQ0BAkBB0IIDKAIAKAIARQRAIAFBgH9xQYC/A0YNAwwBCyABQf8PTQRAIAAgAUE/cUGAAXI6AAEgACABQQZ2QcABcjoAAEECDwsgAUGAQHFBgMADRyABQYCwA09xRQRAIAAgAUE/cUGAAXI6AAIgACABQQx2QeABcjoAACAAIAFBBnZBP3FBgAFyOgABQQMPCyABQYCABGtB//8/TQRAIAAgAUE/cUGAAXI6AAMgACABQRJ2QfABcjoAACAAIAFBBnZBP3FBgAFyOgACIAAgAUEMdkE/cUGAAXI6AAFBBA8LC0GU7QJBGTYCAEF/BUEBCw8LIAAgAToAAEEBC0EBAn8jAEEQayIBJABBfyECAkAgABCZAQ0AIAAgAUEPakEBIAAoAiARBABBAUcNACABLQAPIQILIAFBEGokACACC0YBAX8gAEHM8wEoAgAiATYCACAAIAFBDGsoAgBqQezzASgCADYCACAAQfDzASgCADYCCCAAQQxqEP4BGiAAQUBrEE8aIAALvwMBA38gAEGo0wA2AgAgACIBKAKMARARIAFBADYCjAEgASgCCARAA0AgAkECdCIAIAEoApQBaigCAEEASgRAIAEoApABIABqKAIAEBELIAJBAWoiAiABKAIISQ0ACwsgASgCkAEQESABQQA2AgggAUEANgKQASABKAJEIQAgAUEANgJEIAAEQCAAEIcCEBELIAEoAowCIgAEQANAIAAoAgAgABARIgANAAsLIAEoAoQCIQAgAUEANgKEAiAABEAgASgCiAIaIAAQEQsgASgCzAEiAARAA0AgACgCACAAEBEiAA0ACwsgASgCxAEhACABQQA2AsQBIAAEQCABKALIARogABARCyABKAKUASIABEAgASAANgKYASABKAKcARogABARCyABKAJsIgMEQCADIgIgASgCcCIARwRAA0AgAyAAQRhrIgBHDQALIAEoAmwhAgsgASADNgJwIAEoAnQaIAIQEQsgASgCSCIDBEAgAyICIAEoAkwiAEcEQANAIAMgAEEYayIARw0ACyABKAJIIQILIAEgAzYCTCABKAJQGiACEBELIAEoAkQhACABQQA2AkQgAARAIAAQhwIQEQsgAQtOAQF/IABBwOwBNgIAIAAQowMaAkAgAC0AYEEBRw0AIAAoAiAiAUUNACABEBELAkAgAC0AYUEBRw0AIAAoAjgiAUUNACABEBELIAAQmAEL0AEBA38CQCMAQRBrIgMkACACIAFrIgVB9////wdNBEACQCAFQQtJBEAgACAFQf8AcToACyAAIQQMAQsgA0EIaiAFQQtPBH8gBUEIakF4cSIEIARBAWsiBCAEQQtGGwVBCgtBAWoQfiADKAIMGiAAIAMoAggiBDYCACAAIAMoAgxBgICAgHhyNgIIIAAgBTYCBAsCQCACIAFrIgBFIgINACACDQAgBCABIAD8CgAACyADQQA6AAcgACAEaiADLQAHOgAAIANBEGokAAwBCxA4AAsLDAAgAEEMahBPGiAAC9wBAgV/AXwgAbshByMAQRBrIgIkACACQQhqIAAQWxoCQCACLQAIRQ0AIAJBBGoiBCAAIAAoAgBBDGsoAgBqKAIcIgM2AgAgA0HcjQNHBEAgAyADKAIEQQFqNgIECyAEQdSMAxAWIQMgBBAYIAIgACAAKAIAQQxrKAIAaigCGDYCACAAIAAoAgBBDGsoAgBqIgUQwgEhBiACIAMgAigCACAFIAYgByADKAIAKAIgERoANgIEIAQoAgANACAAIAAoAgBBDGsoAgBqQQUQXAsgAkEIahBWIAJBEGokACAAC9UBAQV/IwBBEGsiAiQAIAJBCGogABBbGgJAIAItAAhFDQAgAkEEaiIEIAAgACgCAEEMaygCAGooAhwiAzYCACADQdyNA0cEQCADIAMoAgRBAWo2AgQLIARB1IwDEBYhAyAEEBggAiAAIAAoAgBBDGsoAgBqKAIYNgIAIAAgACgCAEEMaygCAGoiBRDCASEGIAIgAyACKAIAIAUgBiABIAMoAgAoAhgRBwA2AgQgBCgCAA0AIAAgACgCAEEMaygCAGpBBRBcCyACQQhqEFYgAkEQaiQAIAALdgEDfyAALQBQRQRAIwBBEGsiAiQAIAJBDGoiAyAAKAIcIgE2AgAgAUHcjQNHBEAgASABKAIEQQFqNgIECyADQZSPAxAWIgFBICABKAIAKAIcEQMAIQEgAxAYIAJBEGokACAAIAE2AEwgAEEBOgBQCyAAKABMwAvVAQEFfyMAQRBrIgIkACACQQhqIAAQWxoCQCACLQAIRQ0AIAJBBGoiBCAAIAAoAgBBDGsoAgBqKAIcIgM2AgAgA0HcjQNHBEAgAyADKAIEQQFqNgIECyAEQdSMAxAWIQMgBBAYIAIgACAAKAIAQQxrKAIAaigCGDYCACAAIAAoAgBBDGsoAgBqIgUQwgEhBiACIAMgAigCACAFIAYgASADKAIAKAIMEQcANgIEIAQoAgANACAAIAAoAgBBDGsoAgBqQQUQXAsgAkEIahBWIAJBEGokACAACwwAIABBBGoQTxogAAsMACAAQQhqEE8aIAALBABBfwsCAAvCAQEDfwJAIAIoAhAiAwR/IAMFIAIQhgINASACKAIQCyACKAIUIgRrIAFJBEAgAiAAIAEgAigCJBEEAA8LAkACQCACKAJQQQBIDQAgAUUNACABIQMDQCAAIANqIgVBAWstAABBCkcEQCADQQFrIgMNAQwCCwsgAiAAIAMgAigCJBEEACIEIANJDQIgASADayEBIAIoAhQhBAwBCyAAIQVBACEDCyAEIAUgARBXIAIgAigCFCABajYCFCABIANqIQQLIAQLsAwBB38jAEEQayIEJAAgBCAANgIMAkAgAEHTAU0EQEHg5QFBoOcBIARBDGoQvgMoAgAhAAwBCyAAQXxPBEAQIwALIAQgACAAQdIBbiIGQdIBbCIDazYCCEGg5wFB4OgBIARBCGoQvgNBoOcBa0ECdSEFA0AgBUECdCgCoOcBIANqIQBBBSEDAkACQANAIAMiAUEvRg0BIAAgAUECdCgC4OUBIgJuIgcgAkkNBCABQQFqIQMgACACIAdsRw0ACyABQS9JDQELQdMBIQMDQCAAIANuIgEgA0kNAyAAIAEgA2xGDQEgACADQQpqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQQxqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQRBqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQRJqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQRZqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQRxqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQR5qIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQSRqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQShqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQSpqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQS5qIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQTRqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQTpqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQTxqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQcIAaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0HGAGoiAW4iAiABSQ0DIAAgASACbEYNASAAIANByABqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQc4AaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0HSAGoiAW4iAiABSQ0DIAAgASACbEYNASAAIANB2ABqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQeAAaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0HkAGoiAW4iAiABSQ0DIAAgASACbEYNASAAIANB5gBqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQeoAaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0HsAGoiAW4iAiABSQ0DIAAgASACbEYNASAAIANB8ABqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQfgAaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0H+AGoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBggFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQYgBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0GKAWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBjgFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQZQBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0GWAWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBnAFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQaIBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0GmAWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBqAFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQawBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0GyAWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBtAFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQboBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0G+AWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANBwAFqIgFuIgIgAUkNAyAAIAEgAmxGDQEgACADQcQBaiIBbiICIAFJDQMgACABIAJsRg0BIAAgA0HGAWoiAW4iAiABSQ0DIAAgASACbEYNASAAIANB0AFqIgFuIgIgAUkNAyADQdIBaiEDIAAgASACbEcNAAsLQQAgBUEBaiIAIABBMEYiABshBSAAIAZqIgZB0gFsIQMMAAsACyAEQRBqJAAgAAuMCAELfyAARQRAIAEQFw8LIAFBQE8EQEGU7QJBMDYCAEEADwsCf0EQIAFBC2pBeHEgAUELSRshBiAAQQhrIgQoAgQiCUF4cSEIAkAgCUEDcUUEQCAGQYACSQ0BIAZBBGogCE0EQCAEIQIgCCAGa0H48AIoAgBBAXRNDQILQQAMAgsgBCAIaiEHAkAgBiAITQRAIAggBmsiA0EQSQ0BIAQgBiAJQQFxckECcjYCBCAEIAZqIgIgA0EDcjYCBCAHIAcoAgRBAXI2AgQgAiADEMADDAELQbDtAigCACAHRgRAQaTtAigCACAIaiIIIAZNDQIgBCAGIAlBAXFyQQJyNgIEIAQgBmoiAyAIIAZrIgJBAXI2AgRBpO0CIAI2AgBBsO0CIAM2AgAMAQtBrO0CKAIAIAdGBEBBoO0CKAIAIAhqIgMgBkkNAgJAIAMgBmsiAkEQTwRAIAQgBiAJQQFxckECcjYCBCAEIAZqIgggAkEBcjYCBCADIARqIgMgAjYCACADIAMoAgRBfnE2AgQMAQsgBCAJQQFxIANyQQJyNgIEIAMgBGoiAiACKAIEQQFyNgIEQQAhAkEAIQgLQaztAiAINgIAQaDtAiACNgIADAELIAcoAgQiA0ECcQ0BIANBeHEgCGoiCyAGSQ0BIAsgBmshDCAHKAIMIQUCQCADQf8BTQRAIAcoAggiAiAFRgRAQZjtAkGY7QIoAgBBfiADQQN2d3E2AgAMAgsgAiAFNgIMIAUgAjYCCAwBCyAHKAIYIQoCQCAFIAdHBEAgBygCCCICIAU2AgwgBSACNgIIDAELAkAgBygCFCICBH8gB0EUagUgBygCECICRQ0BIAdBEGoLIQgDQCAIIQMgAiIFQRRqIQggAigCFCICDQAgBUEQaiEIIAUoAhAiAg0ACyADQQA2AgAMAQtBACEFCyAKRQ0AAkAgBygCHCIDQQJ0IgIoAsjvAiAHRgRAIAJByO8CaiAFNgIAIAUNAUGc7QJBnO0CKAIAQX4gA3dxNgIADAILAkAgByAKKAIQRgRAIAogBTYCEAwBCyAKIAU2AhQLIAVFDQELIAUgCjYCGCAHKAIQIgIEQCAFIAI2AhAgAiAFNgIYCyAHKAIUIgJFDQAgBSACNgIUIAIgBTYCGAsgDEEPTQRAIAQgCUEBcSALckECcjYCBCAEIAtqIgIgAigCBEEBcjYCBAwBCyAEIAYgCUEBcXJBAnI2AgQgBCAGaiIDIAxBA3I2AgQgBCALaiICIAIoAgRBAXI2AgQgAyAMEMADCyAEIQILIAILIgIEQCACQQhqDwsgARAXIgRFBEBBAA8LIAQgAEF8QXggAEEEaygCACICQQNxGyACQXhxaiICIAEgASACSxsQVyAAEBEgBAvXBAMBfwZ8An4gAL0iCEIwiKchASAIQoCAgICAgID3P31C//////+fwgFYBEAgCEKAgICAgICA+D9RBEBEAAAAAAAAAAAPCyAARAAAAAAAAPC/oCIAIAAgAEQAAAAAAACgQaIiAqAgAqEiAiACokHQoQErAwAiBaIiBqAiByAAIAAgAKIiA6IiBCAEIAQgBEGgogErAwCiIANBmKIBKwMAoiAAQZCiASsDAKJBiKIBKwMAoKCgoiADQYCiASsDAKIgAEH4oQErAwCiQfChASsDAKCgoKIgA0HooQErAwCiIABB4KEBKwMAokHYoQErAwCgoKCiIAAgAqEgBaIgACACoKIgBiAAIAehoKCgoA8LAkAgAUHw/wFrQZ+Afk0EQCAARAAAAAAAAAAAYQRAIwBBEGsiAUQAAAAAAADwvzkDCCABKwMIRAAAAAAAAAAAow8LIAhCgICAgICAgPj/AFENASABQfD/AXFB8P8BRyABQf//AU1xRQRAIAAgAKEiACAAow8LIABEAAAAAAAAMEOivUKAgICAgICAoAN9IQgLIAhCgICAgICAgPM/fSIJQjSHuSIDQZihASsDAKIgCUItiKdB/wBxQQR0IgErA7CiAaAiBCABKwOoogEgCCAJQoCAgICAgIB4g32/IAErA6iyAaEgASsDsLIBoaIiAKAiBSAAIAAgAKIiAqIgAiAAQcihASsDAKJBwKEBKwMAoKIgAEG4oQErAwCiQbChASsDAKCgoiACQaihASsDAKIgA0GgoQErAwCiIAAgBCAFoaCgoKCgIQALIAAL8QEDAnwBfwF+An0CQCAAvEEUdkH/D3EiA0GrCEkNAEMAAAAAIABDAACA/1sNARogA0H4D08EQCAAIACSDwsgAEMXcrFCXgRAIwBBEGsiA0MAAABwOAIMIAMqAgxDAAAAcJQPCyAAQ7Txz8JdRQ0AIwBBEGsiA0MAAAAQOAIMIAMqAgxDAAAAEJQPC0HwjwErAwBB6I8BKwMAIAC7oiIBIAFB4I8BKwMAIgGgIgIgAaGhIgGiQfiPASsDAKAgASABoqJBgJABKwMAIAGiRAAAAAAAAPA/oKAgAr0iBEIvhiAEp0EfcUEDdCkDwI0BfL+itgsL+QQBCH8jAEEgayIBJAACQAJAIAAoAggiBSAAKAIEIgRrIgNBCHRBAWtBACAEIAVHGyAAKAIQIgIgACgCFGprQYAITwRAIAAgAkGACGo2AhAgASAFQQRrIgIoAgA2AgwgACACNgIIIAAgAUEMahDqAQwBCyADIAAoAgwiBiAAKAIAIgJrIgdJBEACQCACIARHBEAgAUGAIBASNgIMIAAgAUEMahDqAQwBCyABQYAgEBI2AgwgACABQQxqIgIQ5AIgASAAKAIIQQRrIgMoAgA2AgwgACADNgIIIAAgAhDqAQsgAEGABCAAKAIQQYAIaiAAKAIIIAAoAgRrQQRGGzYCEAwBCyABIAA2AhxBASAHQQF1IAIgBkYbIgJBgICAgARPDQEgASACQQJ0IgYQEiIDNgIQIAEgAzYCDCABIAMgBmoiBjYCGEGAIBASIQcCQCACBEAgAyECDAELIAFBBBASIgI2AhAgASACNgIMIAEgAkEEaiIGNgIYIAMQESAAKAIIIQUgACgCBCEECyACIAc2AgAgASACQQRqIgc2AhQgBCAFRgR/IAIFA0AgAUEMaiAEEOQCIARBBGoiBCAAKAIIIgVHDQALIAAoAgQhBCABKAIYIQYgASgCFCEHIAEoAhAhAiABKAIMCyEDIAAoAgAhCCAAIAM2AgAg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Dn8BeyABKAIAIgQoAgAhCSAEIAEoAgQiC0YiBUUEQCALIAQiAWtBFGsiA0HQAE8EQCABIANBFG5BAWoiAiACQQNxIgJBBCACG2siBkEUbGohAUEAIQIDQCAEIAJBFGxqIgNBQGsgA0EsaiADQRhqIAP9XAIE/VYCAAH9VgIAAv1WAgADIBD9rgEhECACQQRqIgIgBkcNAAsgECAQIBD9DQgJCgsMDQ4PAAECAwABAgP9rgEiECAQIBD9DQQFBgcAAQIDAAECAwABAgP9rgH9GwAhAgsDQCABKAIEIAJqIQIgAUEUaiIBIAtHDQALCyAAQQA2AhAgAEIANwIIIAAgCTYCBCAAIAI2AgACQCACIAlsIgEEQCABQYCAgIAETw0BIAAgAUECdCIBEBIiBzYCCCAAIAEgB2oiAjYCECABBEAgB0H/ASAB/AsACyAAIAI2AgwLIAAgBzYCFCAFRQRAIAlBAnQhDUEAIQYDQCAEKAIIIgogBCgCDCIORwRAA0AgCigCKCIBIAooAiQiAkcEQCAHIAYgCWxBAnRqIQNBACEIQQAhAAJAAkAgASACa0ECdSIFQQRJDQAgBiANbCAHaiACa0EQSQ0AIAVBfHEhAEEAIQEDQCADIAFBAnQiDGogAiAMav0AAgD9CwIAIAFBBGoiASAARw0ACyAAIAVGDQELIAAhASAFQQNxIgwEQANAIAMgAUECdCIPaiACIA9qKAIANgIAIAFBAWohASAIQQFqIgggDEcNAAsLIAAgBWtBfU8NAANAIAMgAUECdCIAaiAAIAJqKAIANgIAIAMgAEEEaiIIaiACIAhqKAIANgIAIAMgAEEIaiIIaiACIAhqKAIANgIAIAMgAEEMaiIAaiAAIAJqKAIANgIAIAFBBGoiASAFRw0ACwsgBkEBaiEGCyAKQTBqIgogDkcNAAsLIARBFGoiBCALRw0ACwsPCxAUAAvJAwEGfyAAIAEpAgA3AgAgACABKAIINgIIIAEoAgwhAiAAQQA2AhggAEIANwIQIAAgAjYCDEEAIQICQAJAAkAgASgCFCIEIAEoAhAiBUYiBkUEQCAEIAVrIgRBAEgNASAAIAQQEiICNgIUIAAgAjYCECAAIAIgBGoiBzYCGCAEBEAgAiAFIAT8CgAACyAAIAc2AhQLIAAgASgCHCACIAYbNgIcIAAgASgCIDYCICABKAIkIQIgAEEANgIwIABCADcCKCAAIAI2AiQgASgCLCICIAEoAigiBEYiBUUEQCACIARrIgJBAEgNAiAAIAIQEiIDNgIsIAAgAzYCKCAAIAIgA2oiBjYCMCACBEAgAyAEIAL8CgAACyAAIAY2AiwLIAAgASgCNCADIAUbNgI0IAAgASgCODYCOCABKAI8IQNBACECIABBADYCSCAAQgA3AkAgACADNgI8IAEoAkQiAyABKAJAIgRGIgVFBEAgAyAEayIDQQBIDQMgACADEBIiAjYCRCAAIAI2AkAgACACIANqIgY2AkggAwRAIAIgBCAD/AoAAAsgACAGNgJECyAAIAEoAkwgAiAFGzYCTCAADwsQFAALEBQACxAUAAumBQMMfwJ+AXsjAEHQAGsiBSQAIABBADYCCCAAQgA3AgAgAEEUEBIiCjYCACAAIApBFGoiBjYCCCAKIQQDQCAEQQA2AhAgBEIANwIIIARBFGohBCAHQQFqIgdBAUcNAAsgACAGNgIEIAVBEGohDANAIAUgEUIBfCIQIAMpAwB8NwMgIAUgAykDCCAQfDcDKCAFIAMpAxAgEHw3AzAgBSADKQMYIBB8NwM4IAVBIGohDUEAIQhBACEAIwBBIGsiBiQAIAVBCGoiCyACNgIAIAv9DAAAAAAAAAAAAAAAAAAAAAD9CwIEAkACQAJAAkAgASgCACIEBEAgBEGAgICABE8NAyAEQQJ0IgcQEiEAIAdFIg5FBEAgAEEAIAf8CwALIAAhBAJAIAdBBGsiCUEMTwRAIAAgCUECdkEBaiIPQfz///8HcSIIQQJ0aiEE/QwAAAAAAQAAAAIAAAADAAAAIRJBACEJA0AgACAJQQJ0aiAS/QsCACAS/QwEAAAABAAAAAQAAAAEAAAA/a4BIRIgCUEEaiIJIAhHDQALIAggD0YNAQsgACAHaiEJA0AgBCAINgIAIAhBAWohCCAEQQRqIgQgCUcNAAsLDAELIAZBADYCECAGQgA3AggMAQsgB0EASA0BIAYgBxASIgQ2AgggBiAEIAdqIgg2AhAgDkUEQCAEIAAgB/wKAAALIAYgCDYCDAsgCyABIAZBCGogAiANQeQAEIoCIAYoAggiBARAIAYgBDYCDCAGKAIQGiAEEBELIAAEQCAAEBELIAZBIGokAAwBCxAUAAsgCiARp0EUbGoiACAFKQMINwIAIABBCGogBSgCECIAIAUoAhQiBCAEIABrQTBtENABIAUgDDYCTCAFQcwAahBRIBAiEUIBUg0ACyAFQdAAaiQACyIAIAAtAOkBQQFGBEBBCBAVQdMvECpBxOICQQQQAQALIAALjQkCEH8DfSACQQBMBEBBAA8LIAEoAgAgASgCBEcEQANAIAEoAgAiECABKAIEIhFHBEADQAJAIBAoAgAiDSAQKAIEIhJGDQACQANAIA0oAgAiCEEATgRAIA0oAgQiCUEASA0CIA0qAgghFCAPIAggAnBGBEBBACEEAkAgFCAAKAI0IgsgACgCJCAIbCIMQQJ0aioCAGANACAAKAIcIQUgACgCDCIDIAhsIgcgAyAIQQFqbCIDRwRAIAUgA0ECdGohBiAFIAdBAnRqIQMDQCADKAIAIAlGDQIgA0EEaiIDIAZHDQALC0EBIQRBACEDQQIhBiAAKAIEIg5BAUsEQAJAA0AgAyEFIAAoAjQiCyAAKAIkIAhsIgxBAnRqIgcgBEECdGoqAgAhEwJAIAYgDk8EQCAEIQMgEyAUXg0BIAUhAwwDCyAHIAZBAnRqKgIAIhUgE18EQCAEIQMgEyAUXg0BIAUhAwwDCyAGIQMgFSITIBReDQAgBSEDDAILIAAoAhwgACgCDCAIbEECdGoiBCAFQQJ0IgZqIAQgA0ECdGooAgA2AgAgBiAHaiATOAIAIAAoAkwgACgCPCAIbGoiBCAFaiADIARqLQAAOgAAIANBAXQiBEECaiEGIARBAXIiBCAAKAIEIg5JDQALIAAoAiQgCGwhDCAAKAI0IQsLIAAoAgwgCGwhByAAKAIcIQULIANBAnQiBCAFIAdBAnRqaiAJNgIAIAsgDEECdGogBGogFDgCACAAKAJMIAAoAjwgCGxqIANqQTE6AABBASEECyAEIApqIQoLIA8gCSACcEYEQEEAIQQCQCAUIAAoAjQiCyAAKAIkIAlsIgxBAnRqKgIAYA0AIAAoAhwhBSAAKAIMIgMgCWwiByADIAlBAWpsIgNHBEAgBSADQQJ0aiEGIAUgB0ECdGohAwNAIAMoAgAgCEYNAiADQQRqIgMgBkcNAAsLQQEhBEEAIQNBAiEGIAAoAgQiDkEBSwRAAkADQCADIQUgACgCNCILIAAoAiQgCWwiDEECdGoiByAEQQJ0aioCACETAkAgBiAOTwRAIAQhAyATIBReDQEgBSEDDAMLIAcgBkECdGoqAgAiFSATXwRAIAQhAyATIBReDQEgBSEDDAMLIAYhAyAVIhMgFF4NACAFIQMMAgsgACgCHCAAKAIMIAlsQQJ0aiIEIAVBAnQiBmogBCADQQJ0aigCADYCACAGIAdqIBM4AgAgACgCTCAAKAI8IAlsaiIEIAVqIAMgBGotAAA6AAAgA0EBdCIEQQJqIQYgBEEBciIEIAAoAgQiDkkNAAsgACgCJCAJbCEMIAAoAjQhCwsgACgCDCAJbCEHIAAoAhwhBQsgA0ECdCIEIAUgB0ECdGpqIAg2AgAgCyAMQQJ0aiAEaiAUOAIAIAAoAkwgACgCPCAJbGogA2pBMToAAEEBIQQLIAQgCmohCgsgEiANQQxqIg1HDQEMAwsLQY8uQekUQf0CQYUREAAAC0GFLkHpFEH+AkGFERAAAAsgEEEMaiIQIBFHDQALCyAPQQFqIg8gAkcNAAsLIAoLpQ4CEH8EfiMAQSBrIhEkACAAKAIAIQ8gBEEASgRAIAStIRgDQCARIBUiFkIBfCIVIAMpAwB8NwMAIBEgFSADKQMIfDcDCCARIBUgAykDEHw3AxAgESAVIAMpAxh8NwMYAkAgD0EATA0AQQAhCiAAKAIEIgVBAEwNAANAIAVBAEoEQCAKQQJ0IhNBBGohFEEAIQ8DQAJAIAAoAhwgACgCDCAKbEECdGogD0ECdGooAgAiDUF/Rg0AIAAoAkwgACgCPCAKbGogD2otAAAgCiAEcK0hFyAREEWnIQtBMUYEQAJAIBYgF1INACABKAI0IAEoAiQgCmxBAnRqIggoAgAgC0wNACABKAIcIgUgEyABKAIMIgZsIgdqIQwgBiAUbCIGIAdHBEAgBSAGaiEGIAwhBQNAIAUoAgAgDUYNAiAFQQRqIgUgBkcNAAsLQQEhBkEAIQVBAiEJAkAgASgCBCIQQQFNDQADQCAFIQcgCCAGQQJ0aigCACEOAkAgCSAQTwRAIAYhBSALIA5IDQEgByEFDAMLIAggCUECdGooAgAiEiAOTARAIAYhBSALIA5IDQEgByEFDAMLIAkhBSALIBJIDQAgByEFDAILIAwgB0ECdCIGaiAMIAVBAnQiB2ooAgA2AgAgBiAIaiAHIAhqKAIANgIAIAVBAXQiBkECaiEJIAZBAXIiBiAQSQ0ACwsgDCAFQQJ0IgVqIA02AgAgBSAIaiALNgIACyAWIA0gBG+tUg0BIAEoAjQgASgCJCANbEECdGoiCCgCACALTA0BIAEoAhwiBSANQQJ0IgYgASgCDCIHbCIJaiEMIAZBBGogB2wiBiAJRwRAIAUgBmohBiAMIQUDQCAFKAIAIApGDQMgBUEEaiIFIAZHDQALC0EBIQdBACEFQQIhBgJAIAEoAgQiDkEBTQ0AA0AgBSEJIAggB0ECdGooAgAhDQJAIAYgDk8EQCAHIQUgCyANSA0BIAkhBQwDCyAIIAZBAnRqKAIAIhAgDUwEQCAHIQUgCyANSA0BIAkhBQwDCyAGIQUgCyAQSA0AIAkhBQwCCyAMIAlBAnQiBmogDCAFQQJ0IgdqKAIANgIAIAYgCGogByAIaigCADYCACAFQQF0IgdBAmohBiAHQQFyIgcgDkkNAAsLIAwgBUECdCIFaiAKNgIAIAUgCGogCzYCAAwBCwJAIBYgF1INACACKAI0IAIoAiQgCmxBAnRqIggoAgAgC0wNACACKAIcIgUgEyACKAIMIgZsIgdqIQwgBiAUbCIGIAdHBEAgBSAGaiEGIAwhBQNAIAUoAgAgDUYNAiAFQQRqIgUgBkcNAAsLQQEhBkEAIQVBAiEJAkAgAigCBCIQQQFNDQADQCAFIQcgCCAGQQJ0aigCACEOAkAgCSAQTwRAIAYhBSALIA5IDQEgByEFDAMLIAggCUECdGooAgAiEiAOTARAIAYhBSALIA5IDQEgByEFDAMLIAkhBSALIBJIDQAgByEFDAILIAwgB0ECdCIGaiAMIAVBAnQiB2ooAgA2AgAgBiAIaiAHIAhqKAIANgIAIAVBAXQiBkECaiEJIAZBAXIiBiAQSQ0ACwsgDCAFQQJ0IgVqIA02AgAgBSAIaiALNgIACyAWIA0gBG+tUg0AIAIoAjQgAigCJCANbEECdGoiCCgCACALTA0AIAIoAhwiBSANQQJ0IgYgAigCDCIHbCIJaiEMIAZBBGogB2wiBiAJRwRAIAUgBmohBiAMIQUDQCAFKAIAIApGDQIgBUEEaiIFIAZHDQALC0EBIQdBACEFQQIhBgJAIAIoAgQiDkEBTQ0AA0AgBSEJIAggB0ECdGooAgAhDQJAIAYgDk8EQCAHIQUgCyANSA0BIAkhBQwDCyAIIAZBAnRqKAIAIhAgDUwEQCAHIQUgCyANSA0BIAkhBQwDCyAGIQUgCyAQSA0AIAkhBQwCCyAMIAlBAnQiBmogDCAFQQJ0IgdqKAIANgIAIAYgCGogByAIaigCADYCACAFQQF0IgdBAmohBiAHQQFyIgcgDkkNAAsLIAwgBUECdCIFaiAKNgIAIAUgCGogCzYCAAsgD0EBaiIPIAAoAgQiBUgNAAsgACgCACEPCyAKQQFqIgogD0gNAAsLIBUgGFINAAsLAkAgD0UNACAAKAIEIgZFDQBBACEHIAYhCgNAAkAgCkUEQEEAIQoMAQtBACEFIAEoAgRFDQADQAJAIAEoAgQiAkUNACAAKAIcIAAoAgwgB2xBAnRqIAVBAnRqKAIAIQMgASgCHCABKAIMIAdsQQJ0aiEEQQAhCgNAIAMgBCAKQQJ0aigCAEcEQCACIApBAWoiCkcNAQwCCwsgACgCTCAAKAI8IAdsaiAFakEwOgAAIAAoAgQhBgsgBUEBaiIFIAZJDQALIAAoAgAhDyAGIQoLIAdBAWoiByAPSQ0ACwsgEUEgaiQAC/ADAgh/An0CQCAAKAI0IgggACgCJCABbCIGQQJ0aioCAEMAAAAAXw0AIAAoAhwhBCAAKAIMIgMgAWwiByADIAFBAWpsIgNHBEAgBCADQQJ0aiEFIAQgB0ECdGohAwNAIAMoAgAgAkYNAiADQQRqIgMgBUcNAAsLQQAhAyAAKAIEIgpBAk8EQEECIQZBASEEAkADQCADIQUgACgCNCIIIAAoAiQiByABbEECdGoiCSAEQQJ0aioCACELAkAgBiAKTwRAIAQhAyALQwAAAABeDQEgBSEDDAMLIAkgBkECdGoqAgAiDCALXwRAIAQhAyALQwAAAABeDQEgBSEDDAMLIAYhAyAMQwAAAABeDQAgBSEDDAILIAAoAhwgACgCDCABbEECdGoiBCAFQQJ0IgZqIAQgA0ECdCIHaigCADYCACAGIAlqIAcgCWoqAgA4AgAgBSAAKAJMIAAoAjwgAWxqIgRqIAMgBGotAAA6AAAgA0EBdCIFQQJqIQYgBUEBciIEIAAoAgQiCkkNAAsgACgCJCEHIAAoAjQhCAsgASAHbCEGIAAoAgwgAWwhByAAKAIcIQQLIANBAnQiBSAEIAdBAnRqaiACNgIAIAggBkECdGogBWpDAAAAADgCACAAKAJMIAAoAjwgAWxqIANqQTE6AAALCwcAIAAoAgwL8wMCBn8CfCMAQRBrIgUkACABKAIIIQQCQAJAAkACQCABKAIEIgdBAUYEQCADKwMAIQsgASgCACIDQQAgBEEASBsNBCACKAIEIQEgAigCACICQQAgAUEASBsNBCABIARHDQICQCAERQRADAELIARBAEwNBCADKwMAIAIrAwCiIQpBASEBIARBAUYNACAEQQFrIgZBA3EhByAEQQJrQQNPBEAgBkF8cSEJQQAhBgNAIAogAyABQQN0IgRqKwMAIAIgBGorAwCioCADIARBCGoiCGorAwAgAiAIaisDAKKgIAMgBEEQaiIIaisDACACIAhqKwMAoqAgAyAEQRhqIgRqKwMAIAIgBGorAwCioCEKIAFBBGohASAGQQRqIgYgCUcNAAsLIAdFDQBBACEEA0AgCiADIAFBA3QiBmorAwAgAiAGaisDAKKgIQogAUEBaiEBIARBAWoiBCAHRw0ACwsgACgCACIAIAsgCqIgACsDAKA5AwAMAQsgAysDACEKIAIoAgAhAiABKAIAIQEgBSAHNgIMIAUgATYCCCAFQQE2AgQgBSACNgIAIAcgBCAFQQhqIAUgACgCACAKEDkLIAVBEGokAA8LQbA5QfkaQdIAQewLEAAAC0HmOUHbGUGbA0GGCRAAAAtBlDNBjSFBsgFByiQQAAAL/gsDGH8BfAF7IwBBoAJrIgMkAAJAAkACQAJAAkACQAJAIAEoAggiDSAAKAIERw0AIAAoAgggDUcNACABKAIEIA1IDQAgDUEBayIRQQBOBEAgDUEDdCEZIBEhBQNAAkAgDSAFQX9zIgdqIgRBAEwNACAFIAIoAgRODQUgASgCDCIOKAIEIQYgAigCACACKAIMKAIEQQFqIAVsQQN0aisDACEbIAEoAgQiD0EASEEAIAEoAgAiCBsNBiADIAEpAgA3AgwgAyABKAIINgIUIAUgASgCCCILTg0HIAcgD2oiCUEATiIHQQEgCBtFDQYgCSAFQQFqIgxyQQBIDQggB0UNBCALIARrIgsgBHJBAEgNCCADIAEoAgg2AjAgAyABKQIANwMoIAMgASgCGDYCICADIAEpAhA3AxggA0FAayIUIAEoAhg2AgAgAyABKQIQNwM4IAAoAgAiEEEAIAAoAggiB0EASBsNBiAFIAAoAgRODQcgByAEayISIARyQQBIDQggCCAFIAZsQQN0aiIVIAxBA3QiFmohFyAQIAUgB2xBA3RqIhggEkEDdGohECAEQQN0IgoEQCAQQQAgCvwLAAsgA0KAgICAgICA+D83A0ggAyAHNgKcAiADIBI2ApgCIAMgBzYCkAIgA0EANgKMAiADIAU2AogCIAMgADYChAIgAyAHNgKAAiADIBg2AvgBIAMgBDYC9AEgAyAQNgLsASADIAQ2AsABIAMgCTYCvAEgAyAIIBZqIAYgC2xBA3RqNgK4ASADIAMoAjA2AswBIAMgAykDKDcCxAEgAyAONgLQASADIAMoAiA2AtwBIAMgAykDGDcC1AEgAyAGNgLoASADIAs2AuQBIAMgDDYC4AEgAyAPNgJ4IAMgFTYCdCADIAk2AmwgAyAXNgJoIAMgG5o5A2AgAyAJNgJcIAMgA/0AAgj9CwJ8IAMgDjYCjAEgAyAUKAIANgKYASADIAMpAzg3A5ABIAMgBjYCsAEgAyAMNgKoASADIAY2AqQBIAMgBTYCoAEgA0EANgKcASADQbgBaiADQdAAaiADQewBaiADQcgAahDYAyAFIBFODQAgBSAAKAIEIhRODQkgACgCACIMIAAoAggiCSAFbEEDdGohEiAMIAkgGWxqIRBBACEIQQAgCUEDdCIEayEVIARBeHMhFiAMIAkgDSATa0EDdGwiF2ohGCARIQcDQCAJIBFMDQogESAUTg0KIBIgB0EDdCIEaiIGIAYrAwAiGyAEIAwgByAJbEEDdGoiBGorAwCiOQMAAkAgDSAHQX9zaiILQQBMDQAgByAAKAIETg0JIAkgC2siBiALckEASA0KIAQgBkEDdCIGaiEOIAYgEmohD0EAIQQCQCAIQQJJDQAgECAIIBZsaiAYSQR/IAwgFyAIQQN0a2ogECAIIBVsakkFQQALDQAgCEF+cSEEIBv9FCEcQQAhBgNAIA8gBkEDdCIKaiIaIBwgCiAOav0AAwD98gEgGv0AAwD98AH9CwMAIAZBAmoiBiAERw0ACyAEIAhGDQELIARBAXIhBiAIQQFxBEAgDyAEQQN0IgRqIgogGyAEIA5qKwMAoiAKKwMAoDkDACAGIQQLIAYgCEYNAANAIA8gBEEDdCIGaiIKIBsgBiAOaisDAKIgCisDAKA5AwAgDyAGQQhqIgZqIgogGyAGIA5qKwMAoiAKKwMAoDkDACAEQQJqIgQgC0cNAAsLIAhBAWohCCAHQQFrIgcgBUoNAAsLIAUgAigCBE4NBCAFIAAoAgRODQggBSAAKAIIIgRODQggACgCACAEIAVsQQN0aiAFQQN0aiACKAIAIAIoAgwoAgRBAWogBWxBA3RqKwMAOQMAIBNBAWohEyAFQQBKIAVBAWshBQ0ACwsgA0GgAmokAA8LQckRQbMcQTZB/BIQAAALQZ0xQZ8dQcoAQZ0VEAAAC0HHOUHaIEG1AUGAORAAAAtBlDNBjSFBsgFByiQQAAALQb40QasfQfoAQf0YEAAAC0HPD0GrH0GTAUH9GBAAAAtByzhB2iBB7wJBgDkQAAAL4RgDGn8BfAF7IwBBoAJrIgQkAAJAAkACQAJAAkACQAJAIAEoAgQiFyAAKAIERw0AIAAoAgggF0cNACABKAIIIBdIDQAgF0EBayIZQQBOBEAgF0EDdCEbIBkhCwNAAkAgFyALQX9zIgdqIgZBAEwNACALIAIoAgRODQUgAigCACACKAIMKAIEQQFqIAtsQQN0aisDACEdIAEoAggiE0EASEEAIAEoAgAiChsNCSAEIAEpAgA3AgwgBCABKAIINgIUIAsgASgCBCIJTg0GIAEoAgwiFCgCBCEDIAcgE2oiCEEATiIHQQEgChtFDQkgCCALQQFqIhByQQBIDQcgB0UNBCAJIAZrIgkgBnJBAEgNByAEIAEoAgg2AjAgBCABKQIANwMoIAQgASgCGDYCICAEIAEpAhA3AxggBEFAayIRIAEoAhg2AgAgBCABKQIQNwM4IAAoAgAiDUEAIAAoAggiB0EASBsNCSALIAAoAgRODQYgByAGayIMIAZyQQBIDQcgCiALQQN0aiISIAMgEGxBA3QiDmohBSANIAcgC2xBA3RqIhggDEEDdGohDSAGQQN0IhUEQCANQQAgFfwLAAsgBEKAgICAgICA+D83A0ggBCAHNgKcAiAEIAw2ApgCIAQgBzYCkAIgBEEANgKMAiAEIAs2AogCIAQgADYChAIgBCAHNgKAAiAEIBg2AvgBIAQgBjYC9AEgBCANNgLsASAEIAY2AsABIAQgCDYCvAEgBCAKIAlBA3RqIA5qNgK4ASAEIAQoAjA2AswBIAQgBCkDKDcCxAEgBCAUNgLQASAEIAQoAiA2AtwBIAQgBCkDGDcC1AEgBCADNgLoASAEIAk2AuQBIAQgEDYC4AEgBCATNgJ4IAQgEjYCdCAEIAg2AmwgBCAFNgJoIAQgHZo5A2AgBCAINgJcIAQgBP0AAgj9CwJ8IAQgFDYCjAEgBCARKAIANgKYASAEIAQpAzg3A5ABIARBATYCsAEgBCAQNgKoASAEQQE2AqQBIAQgCzYCoAEgBEEANgKcASMAQRBrIgkkACAEKAKMASEIIAQoAmghByAEKALQASEKIAQoAsABIRQgBCgCvAEhECAEKAK4ASETIAkgBCsDYCAEKwNIojkDCAJAIAQoAvQBIhhBgICAgAJJBEACQAJ/QQEgBCgC7AEiBg0AGiAYQQN0IQYgGEGAgAFNBEAgCSAGQR5qQXBxayIGJABBAAwBCyAGQRBqEBciBkUNASAGQXBxIgMgBjYCDCADQRBqIQYgBCgC7AFBAEcLIRwgCigCBCESIAgoAgQhEUEAIQwjAEEQayINJAACQAJAIBNBACAQIBQgECAUSBsiCiAQckEASBtFBEAgEEEATgRAIBRBAEgNAiAKQQBKBEAgCiEIA0ACQCAKIAxrIhVBAEwNACAGIAxBA3QiDmoiAyAJKwMIIAcgDCARbEEDdGorAwCiIAMrAwCgOQMAIAhBAUwNACADIAkrAwggByAMQQFyIgUgEWxBA3RqIg8rAwCiIA4gE2oiDiAFIBJsQQN0aisDAKIgAysDAKA5AwAgBiAFQQN0aiIFIAkrAwggDysDAKIgBSsDAKA5AwAgCEECRg0AIAMgCSsDCCAHIAxBAnIiBSARbEEDdGoiDysDAKIiHSAOIAUgEmxBA3RqIhYrAwCiIAMrAwCgOQMAIAMgHSAWKwMIoiADKwMIoDkDCCAGIAVBA3RqIgUgCSsDCCAPKwMAoiAFKwMAoDkDACAIQQNGDQAgAyAJKwMIIAcgDEEDciIFIBFsQQN0aiIWKwMAoiIdIA4gBSASbEEDdGoiDysDAKIgAysDAKA5AwAgAyAdIA8rAwiiIAMrAwigOQMIIAMgHSAPKwMQoiADKwMQoDkDECAGIAVBA3RqIgUgCSsDCCAWKwMAoiAFKwMAoDkDACAIQQRGDQAgAyAJKwMIIAcgDEEEciIPIBFsQQN0aiIWKwMAoiIdIA4gDyASbEEDdGoiBSsDAKIgAysDAKA5AwAgAyAdIAUrAwiiIAMrAwigOQMIIAMgHSAFKwMQoiADKwMQoDkDECADIB0gBSsDGKIgAysDGKA5AxggBiAPQQN0aiIFIAkrAwggFisDAKIgBSsDAKA5AwAgCEEFRg0AIAMgCSsDCCAHIAxBBXIiDyARbEEDdGoiFisDAKIiHSAOIA8gEmxBA3RqIgUrAwCiIAMrAwCgOQMAIAMgHSAFKwMIoiADKwMIoDkDCCADIB0gBSsDEKIgAysDEKA5AxAgAyAdIAUrAxiiIAMrAxigOQMYIAMgHSAFKwMgoiADKwMgoDkDICAGIA9BA3RqIgUgCSsDCCAWKwMAoiAFKwMAoDkDACAIQQZGDQAgAyAJKwMIIAcgDEEGciIPIBFsQQN0aiIWKwMAoiIdIA4gDyASbEEDdGoiBSsDAKIgAysDAKA5AwAgAyAdIAUrAwiiIAMrAwigOQMIIAMgHSAFKwMQoiADKwMQoDkDECADIB0gBSsDGKIgAysDGKA5AxggAyAdIAUrAyCiIAMrAyCgOQMgIAMgHSAFKwMooiADKwMooDkDKCAGIA9BA3RqIgUgCSsDCCAWKwMAoiAFKwMAoDkDACAIQQdGDQAgAyAJKwMIIAcgDEEHciIFIBFsQQN0aiIPKwMAoiIdIA4gBSASbEEDdGoiDisDAKIgAysDAKA5AwAgAyAdIA4rAwiiIAMrAwigOQMIIAMgHSAOKwMQoiADKwMQoDkDECADIB0gDisDGKIgAysDGKA5AxggAyAdIA4rAyCiIAMrAyCgOQMgIAMgHSAOKwMooiADKwMooDkDKCADIB0gDisDMKIgAysDMKA5AzAgBiAFQQN0aiIDIAkrAwggDysDAKIgAysDAKA5AwALIAwEQCANIBI2AgwgDSATIAwgEmxBA3RqNgIIIA0gETYCBCANIAcgDCARbEEDdGo2AgAgDEEIIBUgFUEIThsgDUEIaiANIAYgCSsDCBA5CyAIQQhrIQggDEEIaiIMIApIDQALCyAQIBRKBEAgDSASNgIMIA0gEyAKIBJsQQN0ajYCCCANIBE2AgQgDSAHIAogEWxBA3RqNgIAIAogECAKayANQQhqIA0gBiAJKwMIEDkLIA1BEGokAAwDCwwBCwwOC0H4LUGNIUGmAUHKJBAAAAsCQCAYQYGAAUkNACAcDQAgBkEEaygCABARCyAJQRBqJAAMAgsLQQQQFSIAQfjfAjYCACAAQdDfAjYCACAAQZzgAkECEAEACyALIBlODQAgCyAAKAIEIhFODQggACgCACITIAAoAggiECALbEEDdGohDCATIBAgG2xqIQ1BACEKQQAgEEEDdCIGayESIAZBeHMhDiATIBAgFyAaa0EDdGwiBWohGCAZIQYDQCAQIBlMDQkgESAZTA0JIAwgBkEDdCIHaiIIIAgrAwAiHSAHIBMgBiAQbEEDdGoiCGorAwCiOQMAAkAgFyAGQX9zaiIJQQBMDQAgBiAAKAIETg0IIBAgCWsiByAJckEASA0JIAggB0EDdCIHaiEUIAcgDGohA0EAIQcCQCAKQQJJDQAgDSAKIA5saiAYSQR/IBMgBSAKQQN0a2ogDSAKIBJsakkFQQALDQAgCkF+cSEHIB39FCEeQQAhCANAIAMgCEEDdCIVaiIPIB4gFCAVav0AAwD98gEgD/0AAwD98AH9CwMAIAhBAmoiCCAHRw0ACyAHIApGDQELIAdBAXIhCCAKQQFxBEAgAyAHQQN0IgdqIhUgHSAHIBRqKwMAoiAVKwMAoDkDACAIIQcLIAggCkYNAANAIAMgB0EDdCIIaiIVIB0gCCAUaisDAKIgFSsDAKA5AwAgAyAIQQhqIghqIhUgHSAIIBRqKwMAoiAVKwMAoDkDACAHQQJqIgcgCUcNAAsLIApBAWohCiAGQQFrIgYgC0oNAAsLIAsgAigCBE4NBCALIAAoAgRODQcgCyAAKAIIIgZODQcgACgCACAGIAtsQQN0aiALQQN0aiACKAIAIAIoAgwoAgRBAWogC2xBA3RqKwMAOQMAIBpBAWohGiALQQBKIAtBAWshCw0ACwsgBEGgAmokAA8LQckRQbMcQTZB/BIQAAALQZ0xQZ8dQcoAQZ0VEAAAC0HHOUHaIEG1AUGAORAAAAtBvjRBqx9B+gBB/RgQAAALQc8PQasfQZMBQf0YEAAAC0HLOEHaIEHvAkGAORAAAAtBlDNBjSFBsgFByiQQAAALvhsDEn8CfAF+IwBBkAFrIgYkACAAKAIEIQMgACgCCCEEAkACQAJAAkACQAJAAkACQCACKAIEIgVBAEwNACADIAVqIARqQRNKDQAgASgCCCIFIAIpAgAiF0IgiKdHDQIgAigCCCEHIAEoAgAhCCABKAIEIQkgBiAFNgIoIAYgCTYCJCAGIAg2AiAgBiABKAIUNgI0IAYgASkCDDcCLCAGIAEoAiQ2AkQgBiABKQIcNwI8IAYgBzYCUCAGIBc3AkggBiACKAIUNgJcIAYgAikCDDcCVCAGIAIoAiQ2AmwgBiACKQIcNwJkIAYgCDYCcCAGIBc+AnwgBiAGKAIwNgJ4IAYgBTYCiAEgBiAGKAJYNgKEASADIAlHDQMgBCAHRw0DIAYgACgCADYCFCAGIAAoAhgoAgQ2AhwgBiAANgIQIAYgBkEDajYCDCAGIAZBIGo2AgggBiAGQRRqNgIEQQAhAgJAIAYoAhAiACgCCCIOQQBMDQAgACgCBCIKQQBMDQAgBigCCCIAKAIIIQMgBigCBCIBKAIIIQ8gASgCACEQAkAgACgCACINQQAgA0EASBsNACADQQFrIgtBfnEhESALQQFxIRICQAJAA0AgECACIA9sQQN0aiEMQQAhAQJAIAMEQEEAIQUgA0EASgRAA0AgBSAAKAIETg0GIAAoAhAhBCAAKAI4IQggACgCKCIJQQAgACgCLCIBQQBIGw0HIAIgACgCME4NBiABIANHDQUgDCAFQQN0IgdqQQEhASAHIA1qIgcrAwAgCSACIAhsQQN0aiIIKwMAoiEVQQAhCQJAAkACQCALDgICAQALA0AgFSAHIAEgBGxBA3RqKwMAIAggAUEDdGorAwCioCAHIAFBAWoiFCAEbEEDdGorAwAgCCAUQQN0aisDAKKgIRUgAUECaiEBIAlBAmoiCSARRw0ACwsgEkUNACAVIAcgASAEbEEDdGorAwAgCCABQQN0aisDAKKgIRULIBU5AwAgBUEBaiIFIApHDQAMAwsACyAAKAIEQQBMDQQgACgCKEEAIAAoAiwiAUEASBsNBSACIAAoAjBODQQgASADRw0DDAwLA0AgASAAKAIETg0EIAAoAihBACAAKAIsIgRBAEgbDQUgAiAAKAIwTg0EIAQNAyAMIAFBA3RqQgA3AwAgAUEBaiIBIApHDQALCyACQQFqIgIgDkcNAAsMAwtB3TdB7hxB9ABBjxUQAAALQb40QasfQfoAQf0YEAAACwwICwwBCyADIARyQQBIDQMCQCADQQBMDQAgBEEATA0AIAAoAgAhByADQQN0IQUgACgCGCgCBEEDdCEIQQAhAyAEQQRPBEAgBEH8////B3EhCwNAIAVFIgpFBEAgByADIAhsakEAIAX8CwALIApFBEAgByAIIANBAXJsakEAIAX8CwALIApFBEAgByAIIANBAnJsakEAIAX8CwALIApFBEAgByAIIANBA3JsakEAIAX8CwALIANBBGohAyAMQQRqIgwgC0cNAAsLIARBA3EiBEUNAANAIAUEQCAHIAMgCGxqQQAgBfwLAAsgA0EBaiEDIAlBAWoiCSAERw0ACwsgBkKAgICAgICA+D83AyAjAEGQAWsiAyQAAkACQCAAKAIEIgQgASgCBEcNACAAKAIIIgUgAigCCEcNAAJAIAVFDQAgBEUNACABKAIIIgdFDQAgBUEBRgRAIAMgACgCACIFNgJAIAMgBDYCRCAEQQBIQQAgBRsNCiADIAAoAjA2AnwgAyAA/QACIP0LAmwgAyAAKQIYIhc3AmQgAyAAKQIQNwJcIAMgAP0AAgD9CwJMIANCADcCgAEgAyAXpygCBDYCiAEgAigCACEAIAMgAigCBCIENgIEIAMgADYCACAAQQAgBEEASBsNCiADIAIoAgg2AhQgAyACKQIANwIMIAMgAigCFDYCICADIAIpAgw3AhggAyACKAIkNgIwIAIpAhwhFyADQgA3AjQgAyADKAIcNgI8IAMgFzcCKCADQUBrIQgjAEEQayIAJAACQCABKAIEIgJBAUYEQCAGKwMgIRYgASgCACIEQQAgASgCCCICQQBIGw0MIAEoAhAhByADKAIAIgVBACADKAIEIgFBAEgbDQwgASACRw0LAkAgAkUNACACQQBMDQsgBCsDACAFKwMAoiEVQQEhASACQQFGDQAgAkEBayIJQQFxIAJBAkcEQCAJQX5xIQlBACECA0AgFSAEIAEgB2xBA3RqKwMAIAUgAUEDdGorAwCioCAEIAFBAWoiCyAHbEEDdGorAwAgBSALQQN0aisDAKKgIRUgAUECaiEBIAJBAmoiAiAJRw0ACwtFDQAgFSAEIAEgB2xBA3RqKwMAIAUgAUEDdGorAwCioCEVCyAIKAIAIgEgFiAVoiABKwMAoDkDAAwBCyAGKwMgIRUgASgCCCEEIAMoAgAhBSABKAIAIQcgACABKAIQNgIMIAAgBzYCCCAAQQE2AgQgACAFNgIAIAIgBCAAQQhqIAAgCCgCACAVEDkLIABBEGokAAwBCyAEQQFGBEAgAyAAKAIAIgQ2AkAgAyAFNgJIIAVBAEhBACAEGw0KIAMgACgCMDYCfCADIAD9AAIg/QsCbCADIAD9AAIQ/QsCXCADIAD9AAIA/QsCTCADQQE2AogBIANCADcCgAEgAyABKAIAIgA2AgAgAyAHNgIIIAdBAEhBACAAGw0KIAMgASgCCDYCFCADIAEpAgA3AgwgAyABKAIUNgIgIAMgASkCDDcCGCADIAEoAiQ2AjAgASkCHCEXIANCADcCNCADQQE2AjwgAyAXNwIoIANBQGshCUEAIQpBACELIwBBwAFrIgQkAAJAIAIoAghBAUYEQCAGKwMgIRYgAygCACIFQQAgAygCCCIBQQBIGw0MIAMoAhwhCCACKAIAIgdBACACKAIEIgBBAEgbDQwgACABRw0LAkAgAUUNACABQQBMDQsgBSsDACAHKwMAoiEVQQEhACABQQFGDQAgAUEBayICQQFxIAFBAkcEQCACQX5xIQEDQCAVIAUgACAIbEEDdGorAwAgByAAQQN0aisDAKKgIAUgAEEBaiICIAhsQQN0aisDACAHIAJBA3RqKwMAoqAhFSAAQQJqIQAgCkECaiIKIAFHDQALC0UNACAVIAUgACAIbEEDdGorAwAgByAAQQN0aisDAKKgIRULIAkoAgAiACAWIBWiIAArAwCgOQMADAELIARB9ABqIAlBzAD8CgAAIAQgAigCCDYCUCAEIAIpAgA3A0ggBCACKAIUNgJcIAQgAikCDDcCVCAEIAIoAiQ2AmwgBCACKQIcNwJkIAQgAygCCDYCECAEIAMpAgA3AwggBCADKAIUNgIcIAQgAykCDDcCFCAEIAMoAiA2AiggBCADKQIYNwMgIAQgAygCMDYCOCAEIAMpAig3AzAgBCADKAI8NgJEIAQgAykCNDcCPCMAQRBrIgckAAJAAkACQAJAIAQoAhAiAkGAgICAAkkEQCAGKwMgIRUgBCgCJCEJIAQoAgghCCAEKAJYIQwgBCgCUCEOIAQoAkwhDyAEKAJIIRAgAkEDdCEAIAJBgYABTwRAIABBEGoQFyIARQ0EIABBcHEiASAANgIMIAFBEGohBQwCCyAHIABBHmpBcHFrIgUkACACDQEMAgsMAgsgAkGAgAFLIQtBACEBAkAgAkEGSQ0AIAlBAUcNACAFIAhrQRBJDQAgAkH+////AXEhAUEAIQADQCAFIABBA3QiDWogCCANav0AAwD9CwMAIABBAmoiACABRw0ACyABIAJGDQELIAIgASIAa0EDcSINBEADQCAFIABBA3RqIAggACAJbEEDdGorAwA5AwAgAEEBaiEAIApBAWoiCiANRw0ACwsgASACa0F8Sw0AA0AgBSAAQQN0aiAIIAAgCWxBA3RqKwMAOQMAIAUgAEEBaiIBQQN0aiAIIAEgCWxBA3RqKwMAOQMAIAUgAEECaiIBQQN0aiAIIAEgCWxBA3RqKwMAOQMAIAUgAEEDaiIBQQN0aiAIIAEgCWxBA3RqKwMAOQMAIABBBGoiACACRw0ACwsgByAMNgIMIAcgEDYCCCAHQQE2AgQgByAFNgIAAkAgBCgCdCIABEAgBCgCfEEASA0BCyAOIA8gB0EIaiAHIAAgBCgCmAEoAgQgFRBIIAsEQCAFQQRrKAIAEBELIAdBEGokAAwCCwwNC0EEEBUiAEH43wI2AgAgAEHQ3wI2AgAgAEGc4AJBAhABAAsLIARBwAFqJAAMAQsgBisDICEVIAMgBzYCUCADIAU2AkwgAyAENgJIIANCADcDQCADQdAAaiADQcgAaiADQcwAahBwIAMgAygCUCIEIAMoAkhsNgJUIAMgBCADKAJMbDYCWCABKAIEIAIoAgggASgCCCABKAIAIAEoAhAgAigCACACKAIQIAAoAgAgACgCGCgCBCAVIANBQGsQhgEgAygCQCIABEAgAEEEaygCABARCyADKAJEIgBFDQAgAEEEaygCABARCyADQZABaiQADAELQag3QYQaQdYDQb0VEAAACwsgBkGQAWokAA8LQao6QaAbQeIAQeoMEAAAC0HfxABBuCFBhgJBgCQQAAALQZ0xQZ8dQcoAQZ0VEAAAC0HmOUHbGUGbA0GGCRAAAAtBsDlB+RpB0gBB7AsQAAALQZQzQY0hQbIBQcokEAAAC4UFAw9/AXwBewJAIAAoAgQiAyAAKAIIIgFBAm0iCXIiBEEASEEAIAAoAgAiBRtFBEAgASAEckEASA0BIANBAEgNASABIAlrIgQgCXJBAEgNAQJAIAFBAkgNACADRQ0AIAUgACgCDCgCBCIGIARsIgBBA3RqIQ0gA0H+////B3EhBCAFIAUgAEEDdGogA0EDdGpJBH8gBSAGIAFBA3RBCGtsaiAFIAYgCUEBa2wgA2pBA3RqSQVBAAsgBkGAgICAAXFBHHZyQQAgBkEDdGtBAEhyIANBBElyQQFxIQ4DQCAFIAYgC2xBA3RqIQcgDSAJIAtBf3NqIAZsQQN0aiEIQQAhAEEAIQECQCAORQRAA0AgByAAQQN0IgFqIgL9AAMAIREgAiABIAhqIgH9AAMA/QsDACABIBH9CwMAIABBAmoiACAERw0ACyAEIgEgA0YNAQtBACECIAMgASIAa0EDcSIKBEADQCAHIABBA3QiDGoiDysDACEQIA8gCCAMaiIMKwMAOQMAIAwgEDkDACAAQQFqIQAgAkEBaiICIApHDQALCyABIANrQXxLDQADQCAHIABBA3QiAWoiAisDACEQIAIgASAIaiICKwMAOQMAIAIgEDkDACAHIAFBCGoiAmoiCisDACEQIAogAiAIaiICKwMAOQMAIAIgEDkDACAHIAFBEGoiAmoiCisDACEQIAogAiAIaiICKwMAOQMAIAIgEDkDACAHIAFBGGoiAWoiAisDACEQIAIgASAIaiIBKwMAOQMAIAEgEDkDACAAQQRqIgAgA0cNAAsLIAtBAWoiCyAJRw0ACwsPC0GUM0GNIUGyAUHKJBAAAAtBzw9Bqx9BkwFB/RgQAAALzgMCBn8CfCMAQRBrIgYkAAJAAkACQAJAIAEoAgQiBEEBRgRAIAMrAwAhCyABKAIAIgNBACABKAIIIgRBAEgbDQQgAigCBCEFIAEoAgwhByACKAIAIgJBACAFQQBIGw0EIAQgBUcNAgJAIARFBEAMAQsgBEEATA0EIAMrAwAgAisDAKIhCkEBIQEgBEEBRg0AIAcoAgwhBSAEQQFrIgdBAXEgBEECRwRAIAdBfnEhB0EAIQQDQCAKIAMgASAFbEEDdGorAwAgAiABQQN0aisDAKKgIAMgAUEBaiIJIAVsQQN0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f=U.getDevice(l.node.rdev);l.stream_ops=f.stream_ops,l.stream_ops.open?.(l)},llseek(){throw new U.ErrnoError(70)}},major:l=>l>>8,minor:l=>l&255,makedev:(l,f)=>l<<8|f,registerDevice(l,f){U.devices[l]={stream_ops:f}},getDevice:l=>U.devices[l],getMounts(l){for(var f=[],k=[l];k.length;){var b=k.pop();f.push(b),k.push(...b.mounts)}return f},syncfs(l,f){typeof l=="function"&&(f=l,l=!1),U.syncFSRequests++,U.syncFSRequests>1&&r(`warning: ${U.syncFSRequests} FS.syncfs operations in flight at once, probably just doing extra work`);var k=U.getMounts(U.root.mount),b=0;function eA(DA){return U.syncFSRequests--,f(DA)}function EA(DA){if(DA)return EA.errored?void 0:(EA.errored=!0,eA(DA));++b>=k.length&&eA(null)}k.forEach(DA=>{if(!DA.type.syncfs)return EA(null);DA.type.syncfs(DA,l,EA)})},mount(l,f,k){var b=k==="/",eA=!k,EA;if(b&&U.root)throw new U.ErrnoError(10);if(!b&&!eA){var DA=U.lookupPath(k,{follow_mount:!1});if(k=DA.path,EA=DA.node,U.isMountpoint(EA))throw new U.ErrnoError(10);if(!U.isDir(EA.mode))throw new U.ErrnoError(54)}var MA={type:l,opts:f,mountpoint:k,mounts:[]},se=l.mount(MA);return se.mount=MA,MA.root=se,b?U.root=se:EA&&(EA.mounted=MA,EA.mount&&EA.mount.mounts.push(MA)),se},unmount(l){var f=U.lookupPath(l,{follow_mount:!1});if(!U.isMountpoint(f.node))throw new U.ErrnoError(28);var k=f.node,b=k.mounted,eA=U.getMounts(b);Object.keys(U.nameTable).forEach(DA=>{for(var MA=U.nameTable[DA];MA;){var se=MA.name_next;eA.includes(MA.mount)&&U.destroyNode(MA),MA=se}}),k.mounted=null;var EA=k.mount.mounts.indexOf(b);k.mount.mounts.splice(EA,1)},lookup(l,f){return l.node_ops.lookup(l,f)},mknod(l,f,k){var b=U.lookupPath(l,{parent:!0}),eA=b.node,EA=dA.basename(l);if(!EA)throw new U.ErrnoError(28);if(EA==="."||EA==="..")throw new U.ErrnoError(20);var DA=U.mayCreate(eA,EA);if(DA)throw new U.ErrnoError(DA);if(!eA.node_ops.mknod)throw new U.ErrnoError(63);return eA.node_ops.mknod(eA,EA,f,k)},statfs(l){return U.statfsNode(U.lookupPath(l,{follow:!0}).node)},statfsStream(l){return U.statfsNode(l.node)},statfsNode(l){var f={bsize:4096,frsize:4096,blocks:1e6,bfree:5e5,bavail:5e5,files:U.nextInode,ffree:U.nextInode-1,fsid:42,flags:2,namelen:255};return l.node_ops.statfs&&Object.assign(f,l.node_ops.statfs(l.mount.opts.root)),f},create(l,f=438){return f&=4095,f|=32768,U.mknod(l,f,0)},mkdir(l,f=511){return f&=1023,f|=16384,U.mknod(l,f,0)},mkdirTree(l,f){var k=l.split("/"),b="";for(var eA of k)if(eA){(b||dA.isAbs(l))&&(b+="/"),b+=eA;try{U.mkdir(b,f)}catch(EA){if(EA.errno!=20)throw EA}}},mkdev(l,f,k){return typeof k>"u"&&(k=f,f=438),f|=8192,U.mknod(l,f,k)},symlink(l,f){if(!Ae.resolve(l))throw new U.ErrnoError(44);var k=U.lookupPath(f,{parent:!0}),b=k.node;if(!b)throw new U.ErrnoError(44);var eA=dA.basename(f),EA=U.mayCreate(b,eA);if(EA)throw new U.ErrnoError(EA);if(!b.node_ops.symlink)throw new U.ErrnoError(63);return b.node_ops.symlink(b,eA,l)},rename(l,f){var k=dA.dirname(l),b=dA.dirname(f),eA=dA.basename(l),EA=dA.basename(f),DA,MA,se;if(DA=U.lookupPath(l,{parent:!0}),MA=DA.node,DA=U.lookupPath(f,{parent:!0}),se=DA.node,!MA||!se)throw new U.ErrnoError(44);if(MA.mount!==se.mount)throw new U.ErrnoError(75);var me=U.lookupNode(MA,eA),ve=Ae.relative(l,b);if(ve.charAt(0)!==".")throw new U.ErrnoError(28);if(ve=Ae.relative(f,k),ve.charAt(0)!==".")throw new U.ErrnoError(55);var Ze;try{Ze=U.lookupNode(se,EA)}catch{}if(me!==Ze){var BA=U.isDir(me.mode),N=U.mayDelete(MA,eA,BA);if(N)throw new U.ErrnoError(N);if(N=Ze?U.mayDelete(se,EA,BA):U.mayCreate(se,EA),N)throw new U.ErrnoError(N);if(!MA.node_ops.rename)throw new U.ErrnoError(63);if(U.isMountpoint(me)||Ze&&U.isMountpoint(Ze))throw new U.ErrnoError(10);if(se!==MA&&(N=U.nodePermissions(MA,"w"),N))throw new U.ErrnoError(N);U.hashRemoveNode(me);try{MA.node_ops.rename(me,se,EA),me.parent=se}catch(H){throw H}finally{U.hashAddNode(me)}}},rmdir(l){var f=U.lookupPath(l,{parent:!0}),k=f.node,b=dA.basename(l),eA=U.lookupNode(k,b),EA=U.mayDelete(k,b,!0);if(EA)throw new U.ErrnoError(EA);if(!k.node_ops.rmdir)throw new U.ErrnoError(63);if(U.isMountpoint(eA))throw new U.ErrnoError(10);k.node_ops.rmdir(k,b),U.destroyNode(eA)},readdir(l){var f=U.lookupPath(l,{follow:!0}),k=f.node,b=U.checkOpExists(k.node_ops.readdir,54);return b(k)},unlink(l){var f=U.lookupPath(l,{parent:!0}),k=f.node;if(!k)throw new U.ErrnoError(44);var b=dA.basename(l),eA=U.lookupNode(k,b),EA=U.mayDelete(k,b,!1);if(EA)throw new U.ErrnoError(EA);if(!k.node_ops.unlink)throw new U.ErrnoError(63);if(U.isMountpoint(eA))throw new U.ErrnoError(10);k.node_ops.unlink(k,b),U.destroyNode(eA)},readlink(l){var f=U.lookupPath(l),k=f.node;if(!k)throw new U.ErrnoError(44);if(!k.node_ops.readlink)throw new U.ErrnoError(28);return k.node_ops.readlink(k)},stat(l,f){var k=U.lookupPath(l,{follow:!f}),b=k.node,eA=U.checkOpExists(b.node_ops.getattr,63);return eA(b)},fstat(l){var f=U.getStreamChecked(l),k=f.node,b=f.stream_ops.getattr,eA=b?f:k;return b??=k.node_ops.getattr,U.checkOpExists(b,63),b(eA)},lstat(l){return U.stat(l,!0)},doChmod(l,f,k,b){U.doSetAttr(l,f,{mode:k&4095|f.mode&-4096,ctime:Date.now(),dontFollow:b})},chmod(l,f,k){var b;if(typeof l=="string"){var eA=U.lookupPath(l,{follow:!k});b=eA.node}else b=l;U.doChmod(null,b,f,k)},lchmod(l,f){U.chmod(l,f,!0)},fchmod(l,f){var k=U.getStreamChecked(l);U.doChmod(k,k.node,f,!1)},doChown(l,f,k){U.doSetAttr(l,f,{timestamp:Date.now(),dontFollow:k})},chown(l,f,k,b){var eA;if(typeof l=="string"){var EA=U.lookupPath(l,{follow:!b});eA=EA.node}else eA=l;U.doChown(null,eA,b)},lchown(l,f,k){U.chown(l,f,k,!0)},fchown(l,f,k){var b=U.getStreamChecked(l);U.doChown(b,b.node,!1)},doTruncate(l,f,k){if(U.isDir(f.mode))throw new U.ErrnoError(31);if(!U.isFile(f.mode))throw new U.ErrnoError(28);var b=U.nodePermissions(f,"w");if(b)throw new U.ErrnoError(b);U.doSetAttr(l,f,{size:k,timestamp:Date.now()})},truncate(l,f){if(f<0)throw new U.ErrnoError(28);var k;if(typeof l=="string"){var b=U.lookupPath(l,{follow:!0});k=b.node}else k=l;U.doTruncate(null,k,f)},ftruncate(l,f){var k=U.getStreamChecked(l);if(f<0||(k.flags&2097155)===0)throw new U.ErrnoError(28);U.doTruncate(k,k.node,f)},utime(l,f,k){var b=U.lookupPath(l,{follow:!0}),eA=b.node,EA=U.checkOpExists(eA.node_ops.setattr,63);EA(eA,{atime:f,mtime:k})},open(l,f,k=438){if(l==="")throw new U.ErrnoError(44);f=typeof f=="string"?ke(f):f,f&64?k=k&4095|32768:k=0;var b,eA;if(typeof l=="object")b=l;else{eA=l.endsWith("/");var EA=U.lookupPath(l,{follow:!(f&131072),noent_okay:!0});b=EA.node,l=EA.path}var DA=!1;if(f&64)if(b){if(f&128)throw new U.ErrnoError(20)}else{if(eA)throw new U.ErrnoError(31);b=U.mknod(l,k|511,0),DA=!0}if(!b)throw new U.ErrnoError(44);if(U.isChrdev(b.mode)&&(f&=-513),f&65536&&!U.isDir(b.mode))throw new U.ErrnoError(54);if(!DA){var MA=U.mayOpen(b,f);if(MA)throw new U.ErrnoError(MA)}f&512&&!DA&&U.truncate(b,0),f&=-131713;var se=U.createStream({node:b,path:U.getPath(b),flags:f,seekable:!0,position:0,stream_ops:b.stream_ops,ungotten:[],error:!1});return se.stream_ops.open&&se.stream_ops.open(se),DA&&U.chmod(b,k&511),e.logReadFiles&&!(f&1)&&(l in U.readFiles||(U.readFiles[l]=1)),se},close(l){if(U.isClosed(l))throw new U.ErrnoError(8);l.getdents&&(l.getdents=null);try{l.stream_ops.close&&l.stream_ops.close(l)}catch(f){throw f}finally{U.closeStream(l.fd)}l.fd=null},isClosed(l){return l.fd===null},llseek(l,f,k){if(U.isClosed(l))throw new U.ErrnoError(8);if(!l.seekable||!l.stream_ops.llseek)throw new U.ErrnoError(70);if(k!=0&&k!=1&&k!=2)throw new U.ErrnoError(28);return l.position=l.stream_ops.llseek(l,f,k),l.ungotten=[],l.position},read(l,f,k,b,eA){if(b<0||eA<0)throw new U.ErrnoError(28);if(U.isClosed(l))throw new U.ErrnoError(8);if((l.flags&2097155)===1)throw new U.ErrnoError(8);if(U.isDir(l.node.mode))throw new U.ErrnoError(31);if(!l.stream_ops.read)throw new U.ErrnoError(28);var EA=typeof eA<"u";if(!EA)eA=l.position;else if(!l.seekable)throw new U.ErrnoError(70);var DA=l.stream_ops.read(l,f,k,b,eA);return EA||(l.position+=DA),DA},write(l,f,k,b,eA,EA){if(b<0||eA<0)throw new U.ErrnoError(28);if(U.isClosed(l))throw new U.ErrnoError(8);if((l.flags&2097155)===0)throw new U.ErrnoError(8);if(U.isDir(l.node.mode))throw new U.ErrnoError(31);if(!l.stream_ops.write)throw new U.ErrnoError(28);l.seekable&&l.flags&1024&&U.llseek(l,0,2);var DA=typeof eA<"u";if(!DA)eA=l.position;else if(!l.seekable)throw new U.ErrnoError(70);var MA=l.stream_ops.write(l,f,k,b,eA,EA);return DA||(l.position+=MA),MA},mmap(l,f,k,b,eA){if((b&2)!==0&&(eA&2)===0&&(l.flags&2097155)!==2)throw new U.ErrnoError(2);if((l.flags&2097155)===1)throw new U.ErrnoError(2);if(!l.stream_ops.mmap)throw new U.ErrnoError(43);if(!f)throw new U.ErrnoError(28);return l.stream_ops.mmap(l,f,k,b,eA)},msync(l,f,k,b,eA){return l.stream_ops.msync?l.stream_ops.msync(l,f,k,b,eA):0},ioctl(l,f,k){if(!l.stream_ops.ioctl)throw new U.ErrnoError(59);return l.stream_ops.ioctl(l,f,k)},readFile(l,f={}){if(f.flags=f.flags||0,f.encoding=f.encoding||"binary",f.encoding!=="utf8"&&f.encoding!=="binary")throw new Error(`Invalid encoding type "${f.encoding}"`);var k=U.open(l,f.flags),b=U.stat(l),eA=b.size,EA=new Uint8Array(eA);return U.read(k,EA,0,eA,0),f.encoding==="utf8"&&(EA=X(EA)),U.close(k),EA},writeFile(l,f,k={}){k.flags=k.flags||577;var b=U.open(l,k.flags,k.mode);if(typeof f=="string"&&(f=new Uint8Array(WA(f))),ArrayBuffer.isView(f))U.write(b,f,0,f.byteLength,void 0,k.canOwn);else throw new Error("Unsupported data type");U.close(b)},cwd:()=>U.currentPath,chdir(l){var f=U.lookupPath(l,{follow:!0});if(f.node===null)throw new U.ErrnoError(44);if(!U.isDir(f.node.mode))throw new U.ErrnoError(54);var k=U.nodePermissions(f.node,"x");if(k)throw new U.ErrnoError(k);U.currentPath=f.path},createDefaultDirectories(){U.mkdir("/tmp"),U.mkdir("/home"),U.mkdir("/home/web_user")},createDefaultDevices(){U.mkdir("/dev"),U.registerDevice(U.makedev(1,3),{read:()=>0,write:(b,eA,EA,DA,MA)=>DA,llseek:()=>0}),U.mkdev("/dev/null",U.makedev(1,3)),ee.register(U.makedev(5,0),ee.default_tty_ops),ee.register(U.makedev(6,0),ee.default_tty1_ops),U.mkdev("/dev/tty",U.makedev(5,0)),U.mkdev("/dev/tty1",U.makedev(6,0));var l=new Uint8Array(1024),f=0,k=()=>(f===0&&(HA(l),f=l.byteLength),l[--f]);U.createDevice("/dev","random",k),U.createDevice("/dev","urandom",k),U.mkdir("/dev/shm"),U.mkdir("/dev/shm/tmp")},createSpecialDirectories(){U.mkdir("/proc");var l=U.mkdir("/proc/self");U.mkdir("/proc/self/fd"),U.mount({mount(){var f=U.createNode(l,"fd",16895,73);return f.stream_ops={llseek:TA.stream_ops.llseek},f.node_ops={lookup(k,b){var eA=+b,EA=U.getStreamChecked(eA),DA={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:()=>EA.path},id:eA+1};return DA.parent=DA,DA},readdir(){return Array.from(U.streams.entries()).filter(([k,b])=>b).map(([k,b])=>k.toString())}},f}},{},"/proc/self/fd")},createStandardStreams(l,f,k){l?U.createDevice("/dev","stdin",l):U.symlink("/dev/tty","/dev/stdin"),f?U.createDevice("/dev","stdout",null,f):U.symlink("/dev/tty","/dev/stdout"),k?U.createDevice("/dev","stderr",null,k):U.symlink("/dev/tty1","/dev/stderr"),U.open("/dev/stdin",0),U.open("/dev/stdout",1),U.open("/dev/stderr",1)},staticInit(){U.nameTable=new Array(4096),U.mount(TA,{},"/"),U.createDefaultDirectories(),U.createDefaultDevices(),U.createSpecialDirectories(),U.filesystems={MEMFS:TA}},init(l,f,k){U.initialized=!0,l??=e.stdin,f??=e.stdout,k??=e.stderr,U.createStandardStreams(l,f,k)},quit(){U.initialized=!1;for(var l of U.streams)l&&U.close(l)},findObject(l,f){var k=U.analyzePath(l,f);return k.exists?k.object:null},analyzePath(l,f){try{var k=U.lookupPath(l,{follow:!f});l=k.path}catch{}var b={isRoot:!1,exists:!1,error:0,name:null,path:null,object:null,parentExists:!1,parentPath:null,parentObject:null};try{var k=U.lookupPath(l,{parent:!0});b.parentExists=!0,b.parentPath=k.path,b.parentObject=k.node,b.name=dA.basename(l),k=U.lookupPath(l,{follow:!f}),b.exists=!0,b.path=k.path,b.object=k.node,b.name=k.node.name,b.isRoot=k.path==="/"}catch(eA){b.error=eA.errno}return b},createPath(l,f,k,b){l=typeof l=="string"?l:U.getPath(l);for(var eA=f.split("/").reverse();eA.length;){var EA=eA.pop();if(EA){var DA=dA.join2(l,EA);try{U.mkdir(DA)}catch(MA){if(MA.errno!=20)throw MA}l=DA}}return DA},createFile(l,f,k,b,eA){var EA=dA.join2(typeof l=="string"?l:U.getPath(l),f),DA=Je(b,eA);return U.create(EA,DA)},createDataFile(l,f,k,b,eA,EA){var DA=f;l&&(l=typeof l=="string"?l:U.getPath(l),DA=f?dA.join2(l,f):l);var MA=Je(b,eA),se=U.create(DA,MA);if(k){if(typeof k=="string"){for(var me=new Array(k.length),ve=0,Ze=k.length;ve<Ze;++ve)me[ve]=k.charCodeAt(ve);k=me}U.chmod(se,MA|146);var BA=U.open(se,577);U.write(BA,k,0,k.length,0,EA),U.close(BA),U.chmod(se,MA)}},createDevice(l,f,k,b){var eA=dA.join2(typeof l=="string"?l:U.getPath(l),f),EA=Je(!!k,!!b);U.createDevice.major??=64;var DA=U.makedev(U.createDevice.major++,0);return U.registerDevice(DA,{open(MA){MA.seekable=!1},close(MA){b?.buffer?.length&&b(10)},read(MA,se,me,ve,Ze){for(var BA=0,N=0;N<ve;N++){var H;try{H=k()}catch{throw new U.ErrnoError(29)}if(H===void 0&&BA===0)throw new U.ErrnoError(6);if(H==null)break;BA++,se[me+N]=H}return BA&&(MA.node.atime=Date.now()),BA},write(MA,se,me,ve,Ze){for(var BA=0;BA<ve;BA++)try{b(se[me+BA])}catch{throw new U.ErrnoError(29)}return ve&&(MA.node.mtime=MA.node.ctime=Date.now()),BA}}),U.mkdev(eA,EA,DA)},forceLoadFile(l){if(l.isDevice||l.isFolder||l.link||l.contents)return!0;if(typeof XMLHttpRequest<"u")throw new Error("Lazy loading should have been performed (contents set) in createLazyFile, but it was not. Lazy loading only works in web workers. Use --embed-file or --preload-file in emcc on the main thread.");try{l.contents=o(l.url),l.usedBytes=l.contents.length}catch{throw new U.ErrnoError(29)}},createLazyFile(l,f,k,b,eA){class EA{lengthKnown=!1;chunks=[];get(N){if(!(N>this.length-1||N<0)){var H=N%this.chunkSize,oA=N/this.chunkSize|0;return this.getter(oA)[H]}}setDataGetter(N){this.getter=N}cacheLength(){var N=new XMLHttpRequest;if(N.open("HEAD",k,!1),N.send(null),!(N.status>=200&&N.status<300||N.status===304))throw new Error("Couldn't load "+k+". 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  ${p.registerUniform("output_size","u32").declareVariables(L,w)}
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    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]) {
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    }
    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]) {
      ${w.setByIndices(`${w.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")}
    }
  }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let p=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:p},...de(s,o)]}},getShaderSource:r}}return r=c=>{let p=UA("a",e,s.length),L=ne("output",e,o.length);return`
  ${c.registerUniform("output_size","u32").declareVariables(p,L)}

  ${ec(i,I,p,L)}

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

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

    ${L.setByOffset("global_idx",p.getByIndices("aIndices"))}
  }`},{name:"Transpose",shaderCache:{hint:`${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},...de(s,o)]}},getShaderSource:r}},jh=(A,g)=>{Xl(A.inputs,g.perm),A.compute(nI(A.inputs[0],g.perm))},Vh=A=>We({perm:A.perm})}),ic,tc,oc,sc,Cc,rc,ac,Bc,Qc,nc,NI,zh,$h,Zh,Xh,AD,eD,gD,ID,iD,tD,xf=jA(()=>{ye(),Ge(),Ke(),na(),oi(),ic={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"},tc={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"},oc={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},sc={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Cc=(A,g)=>{let e=[];for(let I=g-A;I<g;++I)e.push(I);return e},rc=(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]},ac=(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},Bc=(A,g)=>{for(let e=0;e<A.length;++e)if(A[A.length-e-1]!==g-1-e)return!1;return!0},Qc=(A,g)=>{let e=[];if(!Bc(A,g)){for(let I=0;I<g;++I)A.indexOf(I)===-1&&e.push(I);A.forEach(I=>e.push(I))}return e},nc=(A,g,e,I,i,t,s)=>{let o=e[0].dims,C=FA.size(t),r=FA.size(s),Q=UA("_A",e[0].dataType,o),B=ne("output",i,t),a=64;C===1&&(a=256);let d=`
          var<workgroup> aBestValues : array<f32, ${a}>;
       `,c=p=>`
        ${p.registerUniform("reduceSize","u32").declareVariables(Q,B)}
        ${d}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${p.mainStart(a)}

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

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

         var reduceSize = min(Length, ${a}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 = ${tc[I]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
          ${B.setByOffset("outputIndex",`${I==="mean"?`${B.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${B.type.storage}(${sc[I]})`}`)};
         }
        }`;return{name:A,shaderCache:{hint:`${g};${a}`,inputDependencies:["type"]},getShaderSource:c,getRunData:()=>({outputs:[{dims:t,dataType:i}],dispatchGroup:{x:C},programUniforms:[{type:12,data:r}]})}},NI=(A,g,e,I)=>{let i=A.inputs.length===1?e:Yr(A.inputs,e),t=i.axes;t.length===0&&!i.noopWithEmptyAxes&&(t=A.inputs[0].dims.map((d,c)=>c));let s=FA.normalizeAxes(t,A.inputs[0].dims.length),o=s,C=A.inputs[0],r=Qc(o,A.inputs[0].dims.length);r.length>0&&(C=A.compute(nI(A.inputs[0],r),{inputs:[0],outputs:[-1]})[0],o=Cc(o.length,C.dims.length));let[Q,B]=rc(C.dims,o),a=Q;i.keepDims&&(a=ac(Q,s)),A.compute(nc(g,i.cacheKey,[C],I,A.inputs[0].dataType,a,B),{inputs:[C]})},zh=(A,g)=>{NI(A,"ReduceMeanShared",g,"mean")},$h=(A,g)=>{NI(A,"ReduceL1Shared",g,"l1")},Zh=(A,g)=>{NI(A,"ReduceL2Shared",g,"l2")},Xh=(A,g)=>{NI(A,"ReduceLogSumExpShared",g,"logSumExp")},AD=(A,g)=>{NI(A,"ReduceMaxShared",g,"max")},eD=(A,g)=>{NI(A,"ReduceMinShared",g,"min")},gD=(A,g)=>{NI(A,"ReduceProdShared",g,"prod")},ID=(A,g)=>{NI(A,"ReduceSumShared",g,"sum")},iD=(A,g)=>{NI(A,"ReduceSumSquareShared",g,"sumSquare")},tD=(A,g)=>{NI(A,"ReduceLogSumShared",g,"logSum")}}),_I,Ec,ss,Yr,RI,lc,cc,dc,uc,hc,Dc,wc,pc,fc,yc,GI,oD,sD,CD,rD,aD,BD,QD,nD,ED,lD,na=jA(()=>{ye(),Ge(),pg(),Ke(),xf(),_I=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.")},Ec=A=>["","",`var value = ${A.getByIndices("input_indices")};`,""],ss=(A,g,e,I,i,t,s=!1,o=!1)=>{let C=[],r=e[0].dims,Q=r.length,B=FA.normalizeAxes(i,Q),a=!o&&B.length===0;r.forEach((p,L)=>{a||B.indexOf(L)>=0?s&&C.push(1):C.push(p)});let d=C.length,c=FA.size(C);return{name:A,shaderCache:g,getShaderSource:p=>{let L=[],w=UA("_A",e[0].dataType,Q),u=ne("output",t,d),_=I(w,u,B),y=_[2];for(let M=0,F=0;M<Q;M++)a||B.indexOf(M)>=0?(s&&F++,y=`for(var j${M}: u32 = 0; j${M} < ${r[M]}; j${M}++) {
                  ${_[2].includes("last_index")?`let last_index = j${M};`:""}
                  ${w.indicesSet("input_indices",M,`j${M}`)}
                  ${y}
                }`):(L.push(`${w.indicesSet("input_indices",M,u.indicesGet("output_indices",F))};`),F++);return`

        ${p.registerUniform("output_size","u32").declareVariables(w,u)}

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

          ${L.join(`
`)}
          ${_[0]}       // init ops for reduce max/min
          ${_[1]}
          ${y}
          ${_[3]}
          ${_.length===4?u.setByOffset("global_idx","value"):_.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:C,dataType:t}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:[{type:12,data:c},...de(r,C)]})}},Yr=(A,g)=>{let e=[];return A[1].dims[0]>0&&A[1].getBigInt64Array().forEach(I=>e.push(Number(I))),We({axes:e,keepDims:g.keepDims,noopWithEmptyAxes:g.noopWithEmptyAxes})},RI=(A,g,e,I)=>{let i=A.inputs,t=i.length===1?e:Yr(i,e);A.compute(ss(g,{hint:t.cacheKey,inputDependencies:["rank"]},[i[0]],t.noopWithEmptyAxes&&t.axes.length===0?Ec:I,t.axes,i[0].dataType,t.keepDims,t.noopWithEmptyAxes),{inputs:[0]})},lc=(A,g)=>{_I(A.inputs),RI(A,"ReduceLogSum",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += ${e.getByIndices("input_indices")};`,"value = log(value);"])},cc=(A,g)=>{_I(A.inputs),RI(A,"ReduceL1",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += abs(${e.getByIndices("input_indices")});`,""])},dc=(A,g)=>{_I(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);"])},uc=(A,g)=>{_I(A.inputs),RI(A,"ReduceLogSumExp",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += exp(${e.getByIndices("input_indices")});`,"value = log(value);"])},hc=(A,g)=>{_I(A.inputs),RI(A,"ReduceMax",g,(e,I,i)=>{let t=[];for(let s=0;s<e.rank;s++)(i.indexOf(s)>=0||i.length===0)&&t.push(e.indicesSet("input_indices",s,0));return[`${t.join(`
`)}`,`var value = ${e.getByIndices("input_indices")};`,`value = max(value, ${e.getByIndices("input_indices")});`,""]})},Dc=(A,g)=>{_I(A.inputs),RI(A,"ReduceMean",g,(e,I,i)=>{let t=1;for(let s=0;s<e.rank;s++)(i.indexOf(s)>=0||i.length===0)&&(t*=A.inputs[0].dims[s]);return["var sum = f32(0);","",`sum += f32(${e.getByIndices("input_indices")});`,`let value = ${I.type.value}(sum / ${t});`]})},wc=(A,g)=>{_I(A.inputs),RI(A,"ReduceMin",g,(e,I,i)=>{let t=[];for(let s=0;s<e.rank;s++)(i.indexOf(s)>=0||i.length===0)&&t.push(`input_indices[${s}] = 0;`);return[`${t.join(`
`)}`,`var value = ${e.getByIndices("input_indices")};`,`value = min(value, ${e.getByIndices("input_indices")});`,""]})},pc=(A,g)=>{_I(A.inputs),RI(A,"ReduceProd",g,(e,I)=>[`var value = ${I.type.storage}(1);`,"",`value *= ${e.getByIndices("input_indices")};`,""])},fc=(A,g)=>{_I(A.inputs),RI(A,"ReduceSum",g,(e,I)=>[`var value = ${I.type.storage}(0);`,"",`value += ${e.getByIndices("input_indices")};`,""])},yc=(A,g)=>{_I(A.inputs),RI(A,"ReduceSumSquare",g,(e,I)=>[`var t = ${I.type.value}(0); var value = ${I.type.value}(0);`,"",`t = ${e.getByIndices("input_indices")}; value += t * t;`,""])},GI=(A,g,e)=>{if(g.length===0)return e;let I=1,i=1;for(let t=0;t<g.length;t++)g.indexOf(t)===-1?I*=A[t]:i*=A[t];return i<32&&I>1024},oD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?Dc(A,g):zh(A,g)},sD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?cc(A,g):$h(A,g)},CD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?dc(A,g):Zh(A,g)},rD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?uc(A,g):Xh(A,g)},aD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?hc(A,g):AD(A,g)},BD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?wc(A,g):eD(A,g)},QD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?pc(A,g):gD(A,g)},nD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?fc(A,g):ID(A,g)},ED=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?yc(A,g):iD(A,g)},lD=(A,g)=>{GI(A.inputs[0].dims,g.axes,g.noopWithEmptyAxes)?lc(A,g):tD(A,g)}}),er,cD,dD,Pr,Tf=jA(()=>{ye(),pg(),na(),er=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.")},cD=(A,g)=>{er(A.inputs);let e=(I,i,t)=>{let s=[];for(let o=0;o<I.rank;o++)(t.indexOf(o)>=0||t.length===0)&&s.push(`input_indices[${o}] = 0;`);return[`${s.join(`
`)}`,`var value = ${I.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${I.getByIndices("input_indices")} ${g.selectLastIndex>0?"<=":"<"} value) {
         value = ${I.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",i.setByOffset("global_idx","best_index")]};A.compute(ss("ArgMin",{hint:g.cacheKey,inputDependencies:["rank"]},[A.inputs[0]],e,[g.axis],7,g.keepDims),{inputs:[0]})},dD=(A,g)=>{er(A.inputs);let e=(I,i,t)=>{let s=[];for(let o=0;o<I.rank;o++)(t.indexOf(o)>=0||t.length===0)&&s.push(`input_indices[${o}] = 0;`);return[`${s.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(ss("argMax",{hint:g.cacheKey,inputDependencies:["rank"]},[A.inputs[0]],e,[g.axis],7,g.keepDims),{inputs:[0]})},Pr=A=>We(A)}),mc,Wo,Mc,Fc,Sc,Vt,Nc,uD,Ea=jA(()=>{ye(),Ge(),Ba(),Ke(),mc=(A,g)=>{let e=A[0],I=A[1],i=A[2],t=A[3],s=A[4],o=A[5];if(s&&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 C=e.dims[0],r=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 B=i.dims[0]/3,a=B,d=a;if(g.qkvHiddenSizes.length>0){if(g.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let _ of g.qkvHiddenSizes)if(_%g.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");B=g.qkvHiddenSizes[0],a=g.qkvHiddenSizes[1],d=g.qkvHiddenSizes[2]}let c=r;if(B!==a)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==B+a+d)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let p=0;if(s){if(a!==d)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(s.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(s.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(s.dims[1]!==C)throw new Error('Input "past" second dimension must be batch_size');if(s.dims[2]!==g.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(s.dims[4]!==a/g.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');g.pastPresentShareBuffer||(p=s.dims[3])}let L=c+p,w=-1,u=0;if(t)throw new Error("Mask not supported");if(s)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]!==C||o.dims[1]!==g.numHeads||o.dims[2]!==r||o.dims[3]!==L)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:C,sequenceLength:r,pastSequenceLength:p,kvSequenceLength:c,totalSequenceLength:L,maxSequenceLength:w,inputHiddenSize:Q,hiddenSize:B,vHiddenSize:d,headSize:Math.floor(B/g.numHeads),vHeadSize:Math.floor(d/g.numHeads),numHeads:g.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:g.maskFilterValue,maskType:u,scale:g.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Wo=(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;
    `,Mc=(A,g,e,I,i,t,s,o)=>{let C=Dg(s?1:t),r=64,Q=t/C;Q<r&&(r=32);let B=Math.ceil(t/C/r),a=[{type:12,data:g},{type:12,data:e},{type:12,data:I},{type:12,data:i},{type:12,data:Q},{type:12,data:B}],d=Hg(A.dataType,C),c=Xg(1,C),p=["type"];s&&p.push("type"),o&&p.push("type");let L=w=>{let u=ne("x",A.dataType,A.dims,C),_=[u],y=s?UA("seq_lens",s.dataType,s.dims):void 0;y&&_.push(y);let M=o?UA("total_sequence_length_input",o.dataType,o.dims):void 0;M&&_.push(M);let F=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, ${r}>;
  var<workgroup> thread_sum: array<f32, ${r}>;
  ${w.registerUniforms(m).declareVariables(..._)}
  ${w.mainStart([r,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;
    ${Wo(y,M,!1)}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = (global_idx / ${r}) * uniforms.total_sequence_length + local_offset;
    let seq_causal_length = ${s?"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(C){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: ${C}`)}})()};
    workgroupBarrier();

    var max_value =  f32(-3.402823e+38f);
    for (var i = 0u; i < ${r}; 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(C){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: ${C}`)}})()};
    workgroupBarrier();

    var sum: f32 = 0;
    for (var i = 0u; i < ${r}; 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] = ${u.type.value}(${F}(1.0) / ${F}(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] = ${u.type.value}(exp(f32input - max_value) / sum);
      }
    }
      ${s?`
        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] = ${u.type.value}(${F}(0));
        }`:""};
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${r};${d};${C}`,inputDependencies:p},getShaderSource:L,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:g*e},programUniforms:a})}},Fc=(A,g,e,I,i,t,s,o,C)=>{let r=s+t.kvSequenceLength,Q=[t.batchSize,t.numHeads,t.sequenceLength,r],B=A>1&&I,a=t.kvNumHeads?t.kvNumHeads:t.numHeads,d=B?[t.batchSize,a,r,t.headSize]:void 0,c=t.nReps?t.nReps:1,p=t.scale===0?1/Math.sqrt(t.headSize):t.scale,L=Dg(t.headSize),w=t.headSize/L,u=12,_={x:Math.ceil(r/u),y:Math.ceil(t.sequenceLength/u),z:t.batchSize*t.numHeads},y=[{type:12,data:t.sequenceLength},{type:12,data:w},{type:12,data:r},{type:12,data:t.numHeads},{type:12,data:t.headSize},{type:1,data:p},{type:12,data:s},{type:12,data:t.kvSequenceLength},{type:12,data:c}],M=B&&I&&FA.size(I.dims)>0,F=["type","type"];M&&F.push("type"),i&&F.push("type"),o&&F.push("type"),C&&F.push("type");let m=[{dims:Q,dataType:g.dataType,gpuDataType:0}];B&&m.push({dims:d,dataType:g.dataType,gpuDataType:0});let G=T=>{let J=UA("q",g.dataType,g.dims,L),Z=UA("key",e.dataType,e.dims,L),z=[J,Z];if(M){let cA=UA("past_key",I.dataType,I.dims,L);z.push(cA)}i&&z.push(UA("attention_bias",i.dataType,i.dims));let P=o?UA("seq_lens",o.dataType,o.dims):void 0;P&&z.push(P);let tA=C?UA("total_sequence_length_input",C.dataType,C.dims):void 0;tA&&z.push(tA);let AA=ne("output",g.dataType,Q),iA=[AA];B&&iA.push(ne("present_key",g.dataType,d,L));let rA=Xg(1,L),CA=[{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 = ${u}u;

  var<workgroup> tileQ: array<${J.type.storage}, ${u*u}>;
  var<workgroup> tileK: array<${J.type.storage}, ${u*u}>;
  ${T.registerUniforms(CA).declareVariables(...z,...iA)}
  ${T.mainStart([u,u,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;
    ${Wo(P,tA,!0)}
    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
    ${M&&B?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
    ${B?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
    var value = ${rA}(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;
      ${M&&B?`
              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];
          }`}
      ${B?`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 += ${rA}(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(L){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: ${L}`)}})()};
        output[outputIdx] = ${AA.type.value} (sum * uniforms.alpha) + ${i?"attention_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${L};${i!==void 0};${I!==void 0};${A}`,inputDependencies:F},getRunData:()=>({outputs:m,dispatchGroup:_,programUniforms:y}),getShaderSource:G}},Sc=(A,g,e,I,i,t,s=void 0,o=void 0)=>{let C=t+i.kvSequenceLength,r=i.nReps?i.nReps:1,Q=i.vHiddenSize*r,B=A>1&&I,a=i.kvNumHeads?i.kvNumHeads:i.numHeads,d=B?[i.batchSize,a,C,i.headSize]:void 0,c=[i.batchSize,i.sequenceLength,Q],p=12,L={x:Math.ceil(i.vHeadSize/p),y:Math.ceil(i.sequenceLength/p),z:i.batchSize*i.numHeads},w=[{type:12,data:i.sequenceLength},{type:12,data:C},{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:r}],u=B&&I&&FA.size(I.dims)>0,_=["type","type"];u&&_.push("type"),s&&_.push("type"),o&&_.push("type");let y=[{dims:c,dataType:g.dataType,gpuDataType:0}];B&&y.push({dims:d,dataType:g.dataType,gpuDataType:0});let M=F=>{let m=UA("probs",g.dataType,g.dims),G=UA("v",e.dataType,e.dims),T=[m,G];u&&T.push(UA("past_value",I.dataType,I.dims));let J=s?UA("seq_lens",s.dataType,s.dims):void 0;s&&T.push(J);let Z=o?UA("total_sequence_length_input",o.dataType,o.dims):void 0;o&&T.push(Z);let z=[ne("output",g.dataType,c)];B&&z.push(ne("present_value",g.dataType,d));let P=[{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 = ${p}u;
  var<workgroup> tileQ: array<${m.type.value}, ${p*p}>;
  var<workgroup> tileV: array<${m.type.value}, ${p*p}>;
  ${F.registerUniforms(P).declareVariables(...T,...z)}
  ${F.mainStart([p,p,1])}
   let headIdx = workgroup_id.z % uniforms.num_heads;
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let kvHeadIdx = ${r===1?"headIdx":"headIdx / uniforms.n_reps"};
   let kv_num_heads = ${r===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;
   ${Wo(J,Z,!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
   ${u&&B?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
   ${B?"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;
        ${u&&B?`
        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];
            }`}
        ${B?`
            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:_},getRunData:()=>({outputs:y,dispatchGroup:L,programUniforms:w}),getShaderSource:M}},Vt=(A,g,e,I,i,t,s,o,C,r,Q=void 0,B=void 0)=>{let a=Math.min(A.outputCount,1+(s?1:0)+(o?1:0)),d=a>1?r.pastSequenceLength:0,c=d+r.kvSequenceLength,p=C&&FA.size(C.dims)>0?C:void 0,L=[g,e];a>1&&s&&FA.size(s.dims)>0&&L.push(s),p&&L.push(p),Q&&L.push(Q),B&&L.push(B);let w=A.compute(Fc(a,g,e,s,p,r,d,Q,B),{inputs:L,outputs:a>1?[-1,1]:[-1]})[0];A.compute(Mc(w,r.batchSize,r.numHeads,d,r.sequenceLength,c,Q,B),{inputs:Q&&B?[w,Q,B]:[w],outputs:[]});let u=[w,I];a>1&&o&&FA.size(o.dims)>0&&u.push(o),Q&&u.push(Q),B&&u.push(B),A.compute(Sc(a,w,I,o,r,d,Q,B),{inputs:u,outputs:a>1?[0,2]:[0]})},Nc=(A,g)=>{let e=[g.batchSize,g.numHeads,g.sequenceLength,g.headSize],I=g.sequenceLength,i=g.inputHiddenSize,t=g.headSize,s=12,o={x:Math.ceil(g.headSize/s),y:Math.ceil(g.sequenceLength/s),z:g.batchSize*g.numHeads},C=[A.inputs[0],A.inputs[1],A.inputs[2]],r=[{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=B=>{let a=ne("output_q",C[0].dataType,e),d=ne("output_k",C[0].dataType,e),c=ne("output_v",C[0].dataType,e),p=UA("input",C[0].dataType,C[0].dims),L=UA("weight",C[1].dataType,C[1].dims),w=UA("bias",C[2].dataType,C[2].dims),u=p.type.storage,_=[{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 = ${s}u;
  var<workgroup> tileInput: array<${u}, ${s*s}>;
  var<workgroup> tileWeightQ: array<${u}, ${s*s}>;
  var<workgroup> tileWeightK: array<${u}, ${s*s}>;
  var<workgroup> tileWeightV: array<${u}, ${s*s}>;
  ${B.registerUniforms(_).declareVariables(p,L,w,a,d,c)}
  ${B.mainStart([s,s,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 = ${u}(0);
    var valueK = ${u}(0);
    var valueV = ${u}(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:r}),getShaderSource:Q},{inputs:C,outputs:[-1,-1,-1]})},uD=(A,g)=>{let e=mc(A.inputs,g),[I,i,t]=Nc(A,e);return Vt(A,I,i,t,A.inputs[4],void 0,void 0,void 0,A.inputs[5],e)}}),_c,Rc,Gc,hD,Yf=jA(()=>{JI(),ye(),Ge(),pg(),Ke(),_c=(A,g)=>{if(!A||A.length!==5)throw new Error("BatchNormalization requires 5 inputs");let e=(I,i,t)=>{let s=i.length;if(s!==I.length)throw new Error(`${t}: num dimensions != ${s}`);i.forEach((o,C)=>{if(o!==I[C])throw new Error(`${t}: dim[${C}] 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")},Rc=(A,g)=>{let{epsilon:e,spatial:I,format:i}=g,t=A[0].dims,s=I?Dg(t[t.length-1]):1,o=i==="NHWC"&&t.length>1?s:1,C=FA.size(t)/s,r=I,Q=r?t.length:t,B=UA("x",A[0].dataType,A[0].dims,s),a=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),p=UA("inputVar",A[4].dataType,A[4].dims,o),L=ne("y",A[0].dataType,Q,s),w=()=>{let _="";if(I)_=`let cOffset = ${t.length===1?"0u":i==="NHWC"?`outputIndices[${t.length-1}] / ${s}`:"outputIndices[1]"};`;else if(i==="NCHW")_=`
            ${L.indicesSet("outputIndices","0","0")}
            let cOffset = ${L.indicesToOffset("outputIndices")};`;else{_=`var cIndices = ${a.type.indices}(0);
                       cIndices[0] = outputIndices[${t.length-1}];`;for(let y=1;y<a.rank;y++)_+=`cIndices[${y}] = outputIndices[${y}];`;_+=`let cOffset = ${a.indicesToOffset("cIndices")};`}return _},u=_=>`
  const epsilon = ${e};
  ${_.registerUniform("outputSize","u32").declareVariables(B,a,d,c,p,L)}
  ${_.mainStart()}
  ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${L.offsetToIndices(`global_idx * ${s}`)};
    ${w()}
    let scale = ${a.getByOffset("cOffset")};
    let bias = ${d.getByOffset("cOffset")};
    let inputMean = ${c.getByOffset("cOffset")};
    let inputVar = ${p.getByOffset("cOffset")};
    let x = ${B.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${L.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${g.epsilon}_${g.format}_${I}_${s}`,inputDependencies:r?["rank","type","type","type","type"]:void 0},getShaderSource:u,getRunData:()=>({outputs:[{dims:A[0].dims,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:r?[{type:12,data:C},...de(t)]:[{type:12,data:C}]})}},Gc=A=>We(A),hD=(A,g)=>{let{inputs:e,outputCount:I}=A,i=Gc({...g,outputCount:I});if(Cg.webgpu.validateInputContent&&_c(e,i),g.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");A.compute(Rc(e,i))}}),kc,Lc,DD,Pf=jA(()=>{Ge(),Ke(),kc=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")},Lc=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),s=UA("bias",i,[e],4),o=UA("residual",i,g,4),C=ne("output",i,g,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:g,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(I/64)}}),getShaderSource:r=>`
  const channels = ${e}u / 4;
  ${r.declareVariables(t,s,o,C)}

  ${r.mainStart()}
    ${r.guardAgainstOutOfBoundsWorkgroupSizes(I)}
    let value = ${t.getByOffset("global_idx")}
      + ${s.getByOffset("global_idx % channels")} + ${o.getByOffset("global_idx")};
    ${C.setByOffset("global_idx","value")}
  }`}},DD=A=>{kc(A.inputs),A.compute(Lc(A.inputs))}}),Kc,He,wD,pD,fD,yD,mD,MD,FD,SD,ND,Uc,_D,RD,GD,kD,Ht,LD,Is,KD,UD,bD,JD,xD,TD,YD,PD,vD,HD,qD,OD,WD,jD,VD,zD,gr,$D,vr,Hr,ZD,XD,Aw,bc,Jc,ew,la=jA(()=>{ye(),Ge(),pg(),Ke(),Kc=(A,g,e,I,i,t,s)=>{let o=Math.ceil(g/4),C="";typeof i=="string"?C=`${i}(a)`:C=i("a");let r=UA("inputData",e,[o],4),Q=ne("outputData",I,[o],4),B=[{name:"vec_size",type:"u32"}];return s&&B.push(...s),`
      ${A.registerUniforms(B).declareVariables(r,Q)}

  ${t??""}

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

    let a = ${r.getByOffset("global_idx")};
    ${Q.setByOffset("global_idx",C)}
  }`},He=(A,g,e,I,i,t=A.dataType,s,o)=>{let C=[{type:12,data:Math.ceil(FA.size(A.dims)/4)}];return s&&C.push(...s),{name:g,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:r=>Kc(r,FA.size(A.dims),A.dataType,t,e,I,o),getRunData:r=>({outputs:[{dims:A.dims,dataType:t}],dispatchGroup:{x:Math.ceil(FA.size(r[0].dims)/64/4)},programUniforms:C})}},wD=A=>{A.compute(He(A.inputs[0],"Abs","abs"))},pD=A=>{A.compute(He(A.inputs[0],"Acos","acos"))},fD=A=>{A.compute(He(A.inputs[0],"Acosh","acosh"))},yD=A=>{A.compute(He(A.inputs[0],"Asin","asin"))},mD=A=>{A.compute(He(A.inputs[0],"Asinh","asinh"))},MD=A=>{A.compute(He(A.inputs[0],"Atan","atan"))},FD=A=>{A.compute(He(A.inputs[0],"Atanh","atanh"))},SD=A=>We(A),ND=(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): ${g.to}`)}A.compute(He(A.inputs[0],"Cast",e,void 0,g.cacheKey,g.to))},Uc=A=>{let g,e,I=A.length>=2&&A[1].data!==0,i=A.length>=3&&A[2].data!==0;switch(A[0].dataType){case 1:g=I?A[1].getFloat32Array()[0]:-34028234663852886e22,e=i?A[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:g=I?A[1].getUint16Array()[0]:64511,e=i?A[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return We({min:g,max:e})},_D=(A,g)=>{let e=g||Uc(A.inputs),I=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"Clip",i=>`clamp(${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]})},RD=A=>{A.compute(He(A.inputs[0],"Ceil","ceil"))},GD=A=>{A.compute(He(A.inputs[0],"Cos","cos"))},kD=A=>{A.compute(He(A.inputs[0],"Cosh","cosh"))},Ht=A=>We(A),LD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(He(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))},Is=(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));
}`,KD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"Erf",e=>`erf_vf32(${e})`,Is(g)))},UD=A=>{A.compute(He(A.inputs[0],"Exp","exp"))},bD=A=>{A.compute(He(A.inputs[0],"Floor","floor"))},JD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"Gelu",e=>`0.5 * ${e} * (1.0 + erf_vf32(${e} * 0.7071067811865475))`,Is(g)))},xD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(He(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))},TD=A=>{A.compute(He(A.inputs[0],"Not",g=>`!${g}`))},YD=A=>{A.compute(He(A.inputs[0],"Neg",g=>`-${g}`))},PD=A=>{A.compute(He(A.inputs[0],"Reciprocal",g=>`1.0/${g}`))},vD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"Relu",e=>`select(vec4<${g}>(0.0), ${e}, ${e} > vec4<${g}>(0.0))`))},HD=A=>{A.compute(He(A.inputs[0],"Sigmoid",g=>`(1.0 / (1.0 + exp(-${g})))`))},qD=A=>We(A),OD=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"HardSigmoid",I=>`max(vec4<${e}>(0.0), min(vec4<${e}>(1.0), ${g.alpha} * ${I} + vec4<${e}>(${g.beta})))`,void 0,g.cacheKey))},WD=A=>{A.compute(He(A.inputs[0],"Sin","sin"))},jD=A=>{A.compute(He(A.inputs[0],"Sinh","sinh"))},VD=A=>{A.compute(He(A.inputs[0],"Sqrt","sqrt"))},zD=A=>{A.compute(He(A.inputs[0],"Tan","tan"))},gr=A=>`sign(${A}) * (1 - exp(-2 * abs(${A}))) / (1 + exp(-2 * abs(${A})))`,$D=A=>{A.compute(He(A.inputs[0],"Tanh",gr))},vr=(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 ${gr("v")};
}
`,Hr=A=>`(fast_gelu_a + fast_gelu_a * tanh_v(${A} * (fast_gelu_c * ${A} * ${A} + fast_gelu_b))) * ${A}`,ZD=A=>{let g=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"FastGelu",Hr,vr(g),void 0,A.inputs[0].dataType))},XD=(A,g)=>{let e=Xg(A.inputs[0].dataType);return A.compute(He(A.inputs[0],"ThresholdedRelu",I=>`select(vec4<${e}>(0.0), ${I}, ${I} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${e}>(${g.alpha});`,g.cacheKey)),0},Aw=A=>{A.compute(He(A.inputs[0],"Log","log"))},bc=(A,g)=>`
const alpha = vec4<${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<${A}>;
  for (var i = 0; i < 4; i = i + 1) {
    if (v[i] >= zero) {
      x1[i] = one / (one + exp(-v[i]));
    } else {
      x1[i] = one - one / (one + exp(v[i]));
    }
  }
  return x * x1;
}
`,Jc=A=>`quick_gelu_impl(${A})`,ew=(A,g)=>{let e=Xg(A.inputs[0].dataType);A.compute(He(A.inputs[0],"QuickGelu",Jc,bc(e,g.alpha),g.cacheKey,A.inputs[0].dataType))}}),xc,Tc,gw,vf=jA(()=>{Ge(),Ke(),la(),xc=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")},Tc=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=ne("output",A[0].dataType,g,4),t=FA.size(g)/4,s=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)}

  ${Is(s)}

  ${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);

    ${i.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},gw=A=>{xc(A.inputs),A.compute(Tc(A.inputs))}}),Yc,Pc,kI,Iw,iw,tw,ow,sw,Cw,rw,aw,Bw,Qw,Hf=jA(()=>{ye(),Ge(),Ke(),Yc=(A,g,e,I,i,t,s,o,C,r,Q,B)=>{let a,d;typeof o=="string"?a=d=(u,_)=>`${o}((${u}),(${_}))`:typeof o=="function"?a=d=o:(a=o.scalar,d=o.vector);let c=ne("outputData",Q,I.length,4),p=UA("aData",C,g.length,4),L=UA("bData",r,e.length,4),w;if(i)if(t){let u=FA.size(g)===1,_=FA.size(e)===1,y=g.length>0&&g[g.length-1]%4===0,M=e.length>0&&e[e.length-1]%4===0;u||_?w=c.setByOffset("global_idx",d(u?`${p.type.value}(${p.getByOffset("0")}.x)`:p.getByOffset("global_idx"),_?`${L.type.value}(${L.getByOffset("0")}.x)`:L.getByOffset("global_idx"))):w=`
            let outputIndices = ${c.offsetToIndices("global_idx * 4u")};
            let offsetA = ${p.broadcastedIndicesToOffset("outputIndices",c)};
            let offsetB = ${L.broadcastedIndicesToOffset("outputIndices",c)};
            ${c.setByOffset("global_idx",d(s||y?p.getByOffset("offsetA / 4u"):`${p.type.value}(${p.getByOffset("offsetA / 4u")}[offsetA % 4u])`,s||M?L.getByOffset("offsetB / 4u"):`${L.type.value}(${L.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else w=c.setByOffset("global_idx",d(p.getByOffset("global_idx"),L.getByOffset("global_idx")));else{if(!t)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let u=(_,y,M="")=>{let F=`aData[indexA${y}][componentA${y}]`,m=`bData[indexB${y}][componentB${y}]`;return`
            let outputIndices${y} = ${c.offsetToIndices(`global_idx * 4u + ${y}u`)};
            let offsetA${y} = ${p.broadcastedIndicesToOffset(`outputIndices${y}`,c)};
            let offsetB${y} = ${L.broadcastedIndicesToOffset(`outputIndices${y}`,c)};
            let indexA${y} = offsetA${y} / 4u;
            let indexB${y} = offsetB${y} / 4u;
            let componentA${y} = offsetA${y} % 4u;
            let componentB${y} = offsetB${y} % 4u;
            ${_}[${y}] = ${M}(${a(F,m)});
          `};Q===9?w=`
            var data = vec4<u32>(0);
            ${u("data",0,"u32")}
            ${u("data",1,"u32")}
            ${u("data",2,"u32")}
            ${u("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:w=`
            ${u("outputData[global_idx]",0)}
            ${u("outputData[global_idx]",1)}
            ${u("outputData[global_idx]",2)}
            ${u("outputData[global_idx]",3)}
          `}return`
        ${A.registerUniform("vec_size","u32").declareVariables(p,L,c)}

        ${B??""}

        ${A.mainStart()}
        ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${w}
      }`},Pc=(A,g,e,I,i,t,s=e.dataType)=>{let o=e.dims.map(p=>Number(p)??1),C=I.dims.map(p=>Number(p)??1),r=!FA.areEqual(o,C),Q=o,B=FA.size(o),a=!1,d=!1,c=[r];if(r){let p=At.calcShape(o,C,!1);if(!p)throw new Error("Can't perform binary op on the given tensors");Q=p.slice(),B=FA.size(Q);let L=FA.size(o)===1,w=FA.size(C)===1,u=o.length>0&&o[o.length-1]%4===0,_=C.length>0&&C[C.length-1]%4===0;c.push(L),c.push(w),c.push(u),c.push(_);let y=1;for(let M=1;M<Q.length;M++){let F=o[o.length-M],m=C[C.length-M];if(F===m)y*=F;else break}y%4===0?(d=!0,a=!0):(L||w||u||_)&&(a=!0)}else a=!0;return c.push(a),{name:A,shaderCache:{hint:g+c.map(p=>p.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:p=>Yc(p,o,C,Q,a,r,d,i,e.dataType,I.dataType,s,t),getRunData:()=>({outputs:[{dims:Q,dataType:s}],dispatchGroup:{x:Math.ceil(B/64/4)},programUniforms:[{type:12,data:Math.ceil(FA.size(Q)/4)},...de(o,C,Q)]})}},kI=(A,g,e,I,i,t)=>{A.compute(Pc(g,i??"",A.inputs[0],A.inputs[1],e,I,t))},Iw=A=>{kI(A,"Add",(g,e)=>`${g}+${e}`)},iw=A=>{kI(A,"Div",(g,e)=>`${g}/${e}`)},tw=A=>{kI(A,"Equal",{scalar:(g,e)=>`u32(${g}==${e})`,vector:(g,e)=>`vec4<u32>(${g}==${e})`},void 0,void 0,9)},ow=A=>{kI(A,"Mul",(g,e)=>`${g}*${e}`)},sw=A=>{let g=UA("input",A.inputs[0].dataType,A.inputs[0].dims).type.value;kI(A,"Pow",{scalar:(e,I)=>`pow_custom(${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));
    }
      `)},Cw=A=>{kI(A,"Sub",(g,e)=>`${g}-${e}`)},rw=A=>{kI(A,"Greater",{scalar:(g,e)=>`u32(${g}>${e})`,vector:(g,e)=>`vec4<u32>(${g}>${e})`},void 0,void 0,9)},aw=A=>{kI(A,"Less",{scalar:(g,e)=>`u32(${g}<${e})`,vector:(g,e)=>`vec4<u32>(${g}<${e})`},void 0,void 0,9)},Bw=A=>{kI(A,"GreaterOrEqual",{scalar:(g,e)=>`u32(${g}>=${e})`,vector:(g,e)=>`vec4<u32>(${g}>=${e})`},void 0,void 0,9)},Qw=A=>{kI(A,"LessOrEqual",{scalar:(g,e)=>`u32(${g}<=${e})`,vector:(g,e)=>`vec4<u32>(${g}<=${e})`},void 0,void 0,9)}}),vc,Hc,qc,Oc,nw,Ew,qf=jA(()=>{ye(),Ge(),pg(),Ke(),vc=(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((s,o)=>{if(o!==e){if(s.dataType!==i)throw new Error("input tensors should be one type");if(s.dims.length!==t)throw new Error("input tensors should have the same shape");s.dims.forEach((C,r)=>{if(r!==g&&C!==I.dims[r])throw new Error("non concat dimensions must match")})}})},Hc=(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;
  }`,qc=(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}) { ${t} }`)}return I.join(`
`)},Oc=(A,g,e,I)=>{let i=FA.size(e),t=new Array(A.length),s=new Array(A.length),o=0,C=[],r=[],Q=[{type:12,data:i}];for(let p=0;p<A.length;++p)o+=A[p].dims[g],t[p]=o,r.push(A[p].dims.length),s[p]=UA(`input${p}`,I,r[p]),C.push("rank"),Q.push({type:12,data:t[p]});for(let p=0;p<A.length;++p)Q.push(...de(A[p].dims));Q.push(...de(e));let B=ne("output",I,e.length),a=B.indicesGet("indices",g),d=Array.from(Array(t.length).keys()).map(p=>`uniforms.sizeInConcatAxis${p}`).join(","),c=p=>`

  ${(()=>{p.registerUniform("outputSize","u32");for(let L=0;L<A.length;L++)p.registerUniform(`sizeInConcatAxis${L}`,"u32");return p.declareVariables(...s,B)})()}

  ${Hc(t.length,d)}

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

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

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

    ${qc(s,B)}
  }`;return{name:"Concat",shaderCache:{hint:`${g}`,inputDependencies:C},getRunData:()=>({outputs:[{dims:e,dataType:I}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:Q}),getShaderSource:c}},nw=(A,g)=>{let e=A.inputs,I=e[0].dims,i=FA.normalizeAxis(g.axis,I.length);vc(e,i);let t=I.slice();t[i]=e.reduce((o,C)=>o+(C.dims.length>i?C.dims[i]:0),0);let s=e.filter(o=>FA.size(o.dims)>0);A.compute(Oc(s,i,t,e[0].dataType),{inputs:s})},Ew=A=>We({axis:A.axis})}),yi,mi,Mi,ca,Si=jA(()=>{ye(),Ge(),yi=(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 ${A.activation}`)}},mi=(A,g)=>{A.activation==="Clip"?g.push({type:1,data:A.clipMax},{type:1,data:A.clipMin}):A.activation==="HardSigmoid"?g.push({type:1,data:A.alpha},{type:1,data:A.beta}):A.activation==="LeakyRelu"&&g.push({type:1,data:A.alpha})},Mi=(A,g)=>{A.activation==="Clip"?g.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):A.activation==="HardSigmoid"?g.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):A.activation==="LeakyRelu"&&g.push({name:"alpha",type:"f32"})},ca=A=>{let g=A?.activation||"";if(g==="HardSigmoid"){let[e,I]=A?.activation_params||[.2,.5];return{activation:g,alpha:e,beta:I}}else if(g==="Clip"){let[e,I]=A?.activation_params||[Th,Yh];return{activation:g,clipMax:I,clipMin:e}}else if(g==="LeakyRelu"){let[e]=A?.activation_params||[.01];return{activation:g,alpha:e}}return{activation:g}}}),Vg,lw,da=jA(()=>{Vg=(A,g)=>{switch(A){case 1:return g;case 2:return`vec2<${g}>`;case 3:return`vec3<${g}>`;case 4:return`vec4<${g}>`;default:throw new Error(`${A}-component is not supported.`)}},lw=A=>`
      ${A?"value = value + getBiasByOutputCoords(coords);":""}
      `}),cw,Of=jA(()=>{cw=A=>`
fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
}
fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
    i32(${A}.x), i32(${A}.y), i32(${A}.z), 1));
}
`}),Ot,ua,ha=jA(()=>{ye(),Ge(),Ke(),Si(),Ot=(A,g,e,I,i)=>{let t=I-e;return`
      ${Array.from({length:e}).map((s,o)=>`
      if (${le(g.shape,o,g.rank)} != 1) {
        ${g.indicesSet(A,o,le(i,o+t,I))}
      } else {
        ${g.indicesSet(A,o,0)}
      }`).join("")}
`},ua=(A,g,e,I,i=!1,t)=>{let s=A[0].dims,o=A[1].dims,C=s[s.length-2],r=o[o.length-1],Q=s[s.length-1],B=Dg(r),a=Dg(Q),d=Dg(C),c=FA.size(e)/B/d,p=A.length>2,L=I?I.slice(0,-2):e.slice(0,-2),w=[FA.size(L),C,r],u=[{type:12,data:c},{type:12,data:C},{type:12,data:r},{type:12,data:Q}];mi(g,u),u.push(...de(L,s,o)),p&&u.push(...de(A[2].dims)),u.push(...de(w));let _=y=>{let M=Qa("batch_dims",A[0].dataType,L.length),F=UA("a",A[0].dataType,s.length,a),m=UA("b",A[1].dataType,o.length,B),G=ne("output",A[0].dataType,w.length,B),T=Hg(G.type.tensor),J=yi(g,G.type.value,T),Z=[F,m],z="";if(p){let AA=i?B:1;Z.push(UA("bias",A[2].dataType,A[2].dims.length,AA)),z=`${i?`value += bias[col / ${AA}];`:`value += ${G.type.value}(bias[row + i]);`}`}let P=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Mi(g,P);let tA=()=>{let AA=`var a_data: ${F.type.value};`;for(let iA=0;iA<a;iA++)AA+=`
              let b_data${iA} = b[(b_offset + (k + ${iA}) * uniforms.N + col) / ${B}];`;for(let iA=0;iA<d;iA++){AA+=`a_data = a[(a_offset + (row + ${iA}) * uniforms.K + k) / ${a}];`;for(let rA=0;rA<a;rA++)AA+=`
            values[${iA}] = fma(${m.type.value}(a_data${a===1?"":`[${rA}]`}), b_data${rA}, values[${iA}]);
`}return AA};return`
  ${y.registerUniforms(P).registerInternalVariables(M).declareVariables(...Z,G)}
  ${y.mainStart()}
    ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${B})) * ${B};
    var index1 = global_idx / (uniforms.N / ${B});
    let stride1 = uniforms.M / ${d};
    let row = (index1 % stride1) * ${d};
    let batch = index1 / stride1;

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

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

    var b_indices: ${m.type.indices};
    ${Ot("b_indices",m,m.rank-2,M.rank,"batch_indices")}
    ${m.indicesSet("b_indices",m.rank-2,0)}
    ${m.indicesSet("b_indices",m.rank-1,0)}
    let b_offset = ${m.indicesToOffset("b_indices")};
    var values: array<${G.type.value}, ${d}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${a}) {
      ${tA()}
    }
    for (var i = 0u; i < ${d}u; i++) {
      var value = values[i];
      ${z}
      ${J}
      let cur_indices = ${G.type.indices}(batch, row + i, col);
      let offset = ${G.indicesToOffset("cur_indices")};
      ${G.setByOffset(`offset / ${B}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${g.activation};${B};${a};${d};${i}`,inputDependencies:p?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:t?t(e):e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:u}),getShaderSource:_}}}),Wc,jc,qr,Ir,Vc,Or,zc,Cs,Da=jA(()=>{ye(),Ge(),Ke(),Si(),ha(),da(),Wc=(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":""});
        `,jc=(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];"}
        }`,qr=(A,g,e="f32",I,i=!1,t=32,s=!1,o=32)=>{let C=g[1]*A[1],r=g[0]*A[0],Q=i?C:t,B=i?t:C,a=Q/g[0],d=t/g[1];if(!((i&&a===4&&A[1]===4||!i&&(a===3||a===4))&&Q%g[0]===0&&t%g[1]===0&&A[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${a} and workPerThread[1] ${A[1]} must be 4.
      Otherwise, innerElementSize ${a} 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 ${A[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${a}<${e}>, ${Q/a}>, ${B}>;
var<workgroup> mm_Bsub: array<array<vec4<${e}>, ${r/A[0]}>, ${t}>;

const rowPerThread = ${A[1]};
const colPerThread = ${A[0]};
const innerElementSize = ${a};
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 = ${s?"0":"i32(globalId.z)"};
  ${I?`let batchIndices = ${I.offsetToIndices("u32(batch)")};`:""}
  let globalRowStart = i32(workgroupId.y) * ${C};

  let num_tiles = ${s?`${Math.ceil(o/t)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
  var kStart = ${s?`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;
          ${Wc(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];
          ${a===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}

          ${jc(i,a)}
      }

      workgroupBarrier();
  }

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

let tileRowA = i32(localId.y) * ${d};
let tileColA = i32(localId.x) * ${c};
let tileRowB = i32(localId.y) * ${p};
// 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;
      ${Ir(i,I)}
    }
  }

  // Load one tile of B into local memory.
  for (var innerRow = 0; innerRow < ${p}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
      let inputRow = tileRowB + innerRow;
      let inputCol = tileCol + innerCol;
      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
        kStart + inputRow,
        globalCol + innerCol${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) {
      ${Vc(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}, ${B}>, ${a}>;
  var<workgroup> mm_Bsub : array<array<${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 = ${s?"0":"i32(globalId.z)"};
    ${I?`let batchIndices = ${I.offsetToIndices("u32(batch)")};`:""}
    let num_tiles = ${s?`${Math.ceil(o/t)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
    var kStart = ${s?`i32(globalId.z) * ${o}`:"0"};

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

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${t.type.indices}) -> ${Vg(A,r)} {
      var value = ${Vg(A,r)}(0.0);
      let col = colIn * ${A};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        var bIndices: ${o.type.indices};
        ${Ot("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,r)}) {
      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,r)}(bias[row])`};`:""}
        ${e}
        ${C.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},Cs=(A,g,e,I,i=!1,t)=>{let s=A[0].dims,o=A[1].dims,C=s.slice(0,-2),r=o.slice(0,-2),Q=I?I.slice(0,-2):e.slice(0,-2),B=FA.size(Q),a=s[s.length-2],d=s[s.length-1],c=o[o.length-1],p=d%4===0&&c%4===0,L=a<=8?[4,1,1]:[4,4,1],w=[8,8,1],u=[Math.ceil(c/w[0]/L[0]),Math.ceil(a/w[1]/L[1]),Math.ceil(B/w[2]/L[2])],_=p?4:1,y=[...C,a,d/_],M=y.length,F=[...r,d,c/_],m=F.length,G=[B,a,c/_],T=[{type:6,data:a},{type:6,data:c},{type:6,data:d}];mi(g,T),T.push(...de(Q,y,F));let J=["rank","rank"],Z=A.length>2;Z&&(T.push(...de(A[2].dims)),J.push("rank")),T.push(...de(G));let z=P=>{let tA=Q.length,AA=Qa("batchDims",A[0].dataType,tA,1),iA=Hg(A[0].dataType),rA=UA("a",A[0].dataType,M,_),CA=UA("b",A[1].dataType,m,_),cA=ne("result",A[0].dataType,G.length,_),uA=[rA,CA];if(Z){let nA=i?_:1;uA.push(UA("bias",A[2].dataType,A[2].dims.length,nA))}let v=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Mi(g,v);let x=Hg(cA.type.tensor),$=yi(g,cA.type.value,x),W=zc(_,Z,$,[AA,rA,CA,cA],i);return`
  ${P.registerUniforms(v).registerInternalVariables(AA).declareVariables(...uA,cA)}
  ${W}
  ${p?qr(L,w,iA,AA):Or(L,w,iA,AA)}
                   `};return{name:"MatMul",shaderCache:{hint:`${L};${g.activation};${p};${i}`,inputDependencies:J},getRunData:()=>({outputs:[{dims:t?t(e):e,dataType:A[0].dataType}],dispatchGroup:{x:u[0],y:u[1],z:u[2]},programUniforms:T}),getShaderSource:z}}}),$c,dw,Wf=jA(()=>{ye(),jI(),Ke(),Si(),da(),Of(),Da(),$c=(A,g,e,I,i=!1,t,s=4,o=4,C=4,r="f32")=>{let Q=T=>{switch(T){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${r}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${T} is not supported.`)}},B=T=>{switch(T){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 ${T} is not supported.`)}},a=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])",p=A?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",L=A?"row":"col",w=A?"col":"row",u=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${A?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${L} / outWidth;
    let outCol = ${L} % outWidth;

    let WRow = ${w} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${w} / 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 = ${w} % inChannels;
    var resData = ${Vg(s,r)}(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 < ${p}) {
      ${a}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${Q(s)}
    }
    return resData;`,_=A?g&&I?`
    let col = colIn * ${s};
    ${u}`:`
    let col = colIn * ${s};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${u}
    }
    return ${Vg(s,r)}(0.0);`:I&&e?`
    let col = colIn * ${s};
    ${u}`:`
    let col = colIn * ${s};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${u}
    }
    return ${Vg(s,r)}(0.0);`,y=A?I&&e?B(o):`
    let col = colIn * ${o};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${B(o)}
    }
    return ${Vg(o,r)}(0.0);`:`
    let col = colIn * ${o};
    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
      ${B(o)}
    }
    return ${Vg(o,r)}(0.0);`,M=Vg(C,r),F=Vg(A?s:o,r),m=Vg(A?o:s,r),G=yi(t,M,r);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${F} {
      ${A?_:y}
    }

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

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${M}) {
      let col = colIn * ${C};
      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}
      ${lw(i)}
      ${G}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},dw=(A,g,e,I,i,t,s,o,C)=>{let r=g.format==="NHWC",Q=r?A[0].dims[3]:A[0].dims[1],B=e[0],a=r?e[2]:e[3],d=r?e[1]:e[2],c=r?e[3]:e[1],p=r&&(Q%4===0||Q%3===0)&&c%4===0,L=r?c:a*d,w=r?a*d:c,u=[8,8,1],_=I<=8?[4,1,1]:[4,4,1],y=[Math.ceil(L/u[0]/_[0]),Math.ceil(w/u[1]/_[1]),Math.ceil(B/u[2]/_[2])];Ye("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${y}`);let M=p?r&&Q%4!==0?3:4:1,F=u[1]*_[1],m=u[0]*_[0],G=Math.max(u[0]*M,u[1]),T=I%F===0,J=i%m===0,Z=t%G===0,z=p?[M,4,4]:[1,1,1],P=[{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}];mi(g,P),P.push(...de(A[0].dims,A[1].dims));let tA=["rank","rank"];s&&(P.push(...de(A[2].dims)),tA.push("rank")),P.push(...de(e));let AA=iA=>{let rA=[{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}];Mi(g,rA);let CA=p?4:1,cA=Hg(A[0].dataType),uA=`
      fn setOutputAtIndex(flatIndex : i32, value : ${p?`vec4<${cA}>`:cA}) {
        result[flatIndex] = ${p?`vec4<${cA}>`:cA}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${p?`vec4<${cA}>`:cA}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${p?"/ 4":""}, value);
      }`,v=UA("x",A[0].dataType,A[0].dims.length,M===3?1:M),x=UA("w",A[1].dataType,A[1].dims.length,CA),$=[v,x],W=ne("result",A[0].dataType,e.length,CA);if(s){let nA=UA("bias",A[2].dataType,A[2].dims.length,CA);$.push(nA),uA+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${p?`vec4<${cA}>`:cA} {
          return bias[coords.${r?"w":"y"}${p?"/ 4":""}];
        }`}return`
        ${cw("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 };
        ${iA.registerUniforms(rA).declareVariables(...$,W)}
        ${uA}
        ${$c(r,T,J,Z,s,g,z[0],z[1],z[2],cA)}
        ${p?qr(_,u,cA,void 0,!r,G):Or(_,u,cA,void 0,!r,G,!1,void 0,o)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${g.cacheKey};${M};${p};${T};${J};${Z};${F};${m};${G}`,inputDependencies:tA},getRunData:()=>({outputs:[{dims:C?C(e):e,dataType:A[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:P}),getShaderSource:AA}}}),Zc,ir,Ut,Xc,tr,Ad,uw,hw,jf=jA(()=>{ye(),jI(),Ge(),Ke(),Si(),da(),Zc=A=>{let g=1;for(let e=0;e<A.length;e++)g*=A[e];return g},ir=A=>typeof A=="number"?[A,A,A]:A,Ut=(A,g)=>g<=1?A:A+(A-1)*(g-1),Xc=(A,g,e,I=1)=>{let i=Ut(g,I);return Math.floor((A[0]*(e-1)-e+i)/2)},tr=(A,g,e,I,i)=>{i==null&&(i=Xc(A,g[0],I[0]));let t=[0,0,0,e];for(let s=0;s<3;s++)A[s]+2*i>=g[s]&&(t[s]=Math.trunc((A[s]-g[s]+2*i)/I[s]+1));return t},Ad=(A,g,e,I,i,t,s,o,C,r)=>{let Q,B,a,d;if(A==="VALID"&&(A=0),typeof A=="number"){Q={top:A,bottom:A,left:A,right:A,front:A,back:A};let c=tr([g,e,I,1],[o,C,r],1,[i,t,s],A);B=c[0],a=c[1],d=c[2]}else if(Array.isArray(A)){if(!A.every((p,L,w)=>p===w[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=tr([g,e,I,1],[o,C,r],1,[i,t,s],A[0]);B=c[0],a=c[1],d=c[2]}else if(A==="SAME_UPPER"){B=Math.ceil(g/i),a=Math.ceil(e/t),d=Math.ceil(I/s);let c=(B-1)*i+o-g,p=(a-1)*t+C-e,L=(d-1)*s+r-I,w=Math.floor(c/2),u=c-w,_=Math.floor(p/2),y=p-_,M=Math.floor(L/2),F=L-M;Q={top:_,bottom:y,left:M,right:F,front:w,back:u}}else throw Error(`Unknown padding parameter: ${A}`);return{padInfo:Q,outDepth:B,outHeight:a,outWidth:d}},uw=(A,g,e,I,i,t=!1,s="channelsLast")=>{let o,C,r,Q,B;if(s==="channelsLast")[o,C,r,Q,B]=A;else if(s==="channelsFirst")[o,B,C,r,Q]=A;else throw new Error(`Unknown dataFormat ${s}`);let[a,,d,c,p]=g,[L,w,u]=ir(e),[_,y,M]=ir(I),F=Ut(d,_),m=Ut(c,y),G=Ut(p,M),{padInfo:T,outDepth:J,outHeight:Z,outWidth:z}=Ad(i,C,r,Q,L,w,u,F,m,G),P=t?a*B:a,tA=[0,0,0,0,0];return s==="channelsFirst"?tA=[o,P,J,Z,z]:s==="channelsLast"&&(tA=[o,J,Z,z,P]),{batchSize:o,dataFormat:s,inDepth:C,inHeight:r,inWidth:Q,inChannels:B,outDepth:J,outHeight:Z,outWidth:z,outChannels:P,padInfo:T,strideDepth:L,strideHeight:w,strideWidth:u,filterDepth:d,filterHeight:c,filterWidth:p,effectiveFilterDepth:F,effectiveFilterHeight:m,effectiveFilterWidth:G,dilationDepth:_,dilationHeight:y,dilationWidth:M,inShape:A,outShape:tA,filterShape:g}},hw=(A,g,e,I,i,t)=>{let s=t==="channelsLast";s?A[0].dims[3]:A[0].dims[1];let o=[64,1,1],C={x:e.map((L,w)=>w)},r=[Math.ceil(Zc(C.x.map(L=>e[L]))/o[0]),1,1];Ye("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${r}`);let Q=1,B=FA.size(e),a=[{type:12,data:B},{type:12,data:I},{type:12,data:i},{type:12,data:g.strides},{type:12,data:g.dilations}];mi(g,a),a.push(...de(A[0].dims,A[1].dims));let d=["rank","rank"],c=A.length===3;c&&(a.push(...de(A[2].dims)),d.push("rank")),a.push(...de(e));let p=L=>{let w=[{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}];Mi(g,w);let u=1,_=Hg(A[0].dataType),y=UA("x",A[0].dataType,A[0].dims.length,Q),M=UA("W",A[1].dataType,A[1].dims.length,u),F=[y,M],m=ne("result",A[0].dataType,e.length,u),G="";if(c){let Z=UA("bias",A[2].dataType,A[2].dims.length,u);F.push(Z),G+=`
        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${_} {
          return bias[${s?le("coords",4,5):le("coords",1,5)}];
        }`}let T=Vg(Q,_),J=yi(g,T,_);return`
            ${G}
            fn getX(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")};
            }
            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${M.getByIndices("aIndices")};
            }
          ${L.registerUniforms(w).declareVariables(...F,m)}
          ${L.mainStart()}
          ${L.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
              let coords = ${m.offsetToIndices("global_idx")};
              let batch = ${le("coords",0,y.rank)};
              let d2 = ${s?le("coords",y.rank-1,y.rank):le("coords",1,y.rank)};
              let xFRCCorner = vec3<u32>(${s?le("coords",1,y.rank):le("coords",2,y.rank)},
              ${s?le("coords",2,y.rank):le("coords",3,y.rank)},
              ${s?le("coords",3,y.rank):le("coords",4,y.rank)}) * uniforms.strides - uniforms.pads;
              let xFCorner = xFRCCorner.x;
              let xRCorner = xFRCCorner.y;
              let xCCorner = xFRCCorner.z;
              let xShapeY = ${s?le("uniforms.x_shape",1,y.rank):le("uniforms.x_shape",2,y.rank)};
              let xShapeZ = ${s?le("uniforms.x_shape",2,y.rank):le("uniforms.x_shape",3,y.rank)};
              let xShapeW = ${s?le("uniforms.x_shape",3,y.rank):le("uniforms.x_shape",4,y.rank)};
              let xShapeU = ${s?le("uniforms.x_shape",4,y.rank):le("uniforms.x_shape",1,y.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) {
                      ${s?`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) {
                        ${s?`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) {
                      ${s?`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) {
                      ${s?`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)":""};
              ${J}
              result[global_idx] = f32(value);
          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${g.cacheKey};${s};${Q};${c}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:e,dataType:A[0].dataType}],dispatchGroup:{x:r[0],y:r[1],z:r[2]},programUniforms:a}),getShaderSource:p}}}),Dw,ww,Vf=jA(()=>{ye(),Ge(),Ke(),Si(),Dw=(A,g,e,I)=>{let i=A.length>2,t=i?"value += b[output_channel];":"",s=A[0].dims,o=A[1].dims,C=g.format==="NHWC",r=C?e[3]:e[1],Q=r/g.group,B=C&&Q>=4?Dg(r):1,a=FA.size(e)/B,d=[{type:12,data:a},{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}];mi(g,d),d.push(...de(s,[o[0],o[1],o[2],o[3]/B]));let c=i?["rank","rank","rank"]:["rank","rank"];d.push(...de([e[0],e[1],e[2],e[3]/B]));let p=L=>{let w=ne("output",A[0].dataType,e.length,B),u=Hg(w.type.tensor),_=yi(g,w.type.value,u),y=UA("x",A[0].dataType,s.length),M=UA("w",A[1].dataType,o.length,B),F=[y,M];i&&F.push(UA("b",A[2].dataType,A[2].dims,B));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"}];Mi(g,m);let G=C?`
      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 = ${y.get("batch","xHeight","xWidth","input_channel")};
            let wVal = ${M.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 = ${y.get("batch","input_channel","xHeight","xWidth")};
            let wVal = ${M.get("output_channel","wInChannel","wHeight","wWidth")};
            value += xVal * wVal;
          }
        }
      }
      `;return`
  ${L.registerUniforms(m).declareVariables(...F,w)}

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

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

    var value: ${w.type.value} = ${w.type.value}(0);
    ${G}
    ${t}
    ${_}
    ${w.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:`${g.cacheKey}_${B}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:I?I(e):e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:d}),getShaderSource:p}},ww=(A,g,e,I)=>{let i=A.length>2,t=Dg(e[3]),s=Dg(e[2]),o=FA.size(e)/t/s,C=[A[0].dims[0],A[0].dims[1],A[0].dims[2],A[0].dims[3]/t],r=[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],B=[{type:12,data:o},{type:6,data:[g.strides[0],g.strides[1]]},{type:6,data:[g.pads[0],g.pads[1]]}];mi(g,B),B.push(...de(C,r,Q));let a=(s-1)*g.strides[1]+r[1],d=c=>{let p=ne("output",A[0].dataType,Q.length,t),L=Hg(p.type.tensor),w=yi(g,p.type.value,L),u=UA("x",A[0].dataType,C.length,t),_=UA("w",A[1].dataType,r.length,t),y=[u,_];i&&y.push(UA("b",A[2].dataType,A[2].dims,t));let M=i?"value += b[output_channel];":"",F=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Mi(g,F),`
  ${c.registerUniforms(F).declareVariables(...y,p)}
  ${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] / ${s}u;
    let col = (index1 % width1) * ${s}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<${u.type.value}, ${a}>;
    var values: array<${p.type.value}, ${s}>;
    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 < ${r[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 < ${a}; i++) {
          let x_width = x_corner.y + i;
          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
            x_vals[i] = ${u.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${u.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${r[1]}; w_width++) {
          let w_val = ${_.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${s}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${s}u; i++) {
      var value = values[i];
      ${M}
      ${w}
      ${p.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${g.cacheKey};${t};${s};${a};${r[0]};${r[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:B}),getShaderSource:d}}}),ed,jo,gd,Vo,Wr,or,Id,id,jr,zf=jA(()=>{Ge(),Wf(),jf(),Da(),Vf(),Si(),ha(),oi(),ed=(A,g,e,I,i,t)=>{let s=A[0],o=A.slice(t?1:2,t?3:4),C=o.length,r=g[0],Q=g.slice(2).map((a,d)=>a+(a-1)*(e[d]-1)),B=o.map((a,d)=>a+I[d]+I[d+C]).map((a,d)=>Math.floor((a-Q[d]+i[d])/i[d]));return B.splice(0,0,s),B.splice(t?3:1,0,r),B},jo=[2,3,1,0],gd=(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 ${i*2}D`);if(g.kernelShape.length!==0&&g.kernelShape.length!==A[1].dims.length-2)throw new Error("invalid kernel shape")},Vo=(A,g)=>{let e=A.kernelShape.slice();e.length<g[1].dims.length-2&&e.push(...Array(g[1].dims.length-2-e.length).fill(0));for(let t=2;t<g[1].dims.length;++t)e[t-2]===0&&(e[t-2]=g[1].dims[t]);let I=A.pads.slice();os.adjustPadsBasedOnAutoPad(g[0].dims,A.strides,A.dilations,e,I,A.format==="NHWC",A.autoPad);let i=Object.assign({},A);return Object.assign(i,{kernelShape:e,pads:I}),i},Wr=A=>{let g=ca(A),e=A.format,I=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][A.auto_pad],i=A.dilations,t=A.group,s=A.kernel_shape,o=A.pads,C=A.strides,r=A.w_is_const();return{autoPad:I,format:e,dilations:i,group:t,kernelShape:s,pads:o,strides:C,wIsConst:r,...g,cacheKey:`${A.format};${g.activation};`}},or=(A,g,e,I)=>{let i=e.format==="NHWC",t=ed(g[0].dims,g[1].dims,e.dilations,e.pads,e.strides,i);if(e.group!==1){let F=[g[0]];if(i){let m=A.kernelCustomData.wT??A.compute(nI(g[1],jo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=m),F.push(m)}else F.push(g[1]);g.length===3&&F.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(ww(F,e,t,I),{inputs:F}):A.compute(Dw(F,e,t,I),{inputs:F});return}let s=g.length===3,o=g[0].dims[i?1:2],C=g[0].dims[i?2:3],r=g[0].dims[i?3:1],Q=g[1].dims[2],B=g[1].dims[3],a=t[i?1:2],d=t[i?2:3],c=t[i?3:1],p=i&&Q===o&&B===C&&e.pads[0]===0&&e.pads[1]===0;if(p||Q===1&&B===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 F=t[0],m,G,T,J=[];if(i){let P=A.kernelCustomData.wT??A.compute(nI(g[1],jo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];if(e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=P),p){let tA=o*C*r;m=g[0].reshape([1,F,tA]),G=P.reshape([1,tA,c]),T=[1,F,c]}else m=g[0].reshape([F,o*C,r]),G=P.reshape([1,r,c]),T=[F,a*d,c];J.push(m),J.push(G)}else m=g[0].reshape([F,r,o*C]),G=g[1].reshape([1,c,r]),T=[F,c,a*d],J.push(G),J.push(m);s&&J.push(g[2]);let Z=T[2],z=J[0].dims[J[0].dims.length-1];Z<8&&z<8?A.compute(ua(J,e,t,T,i,I),{inputs:J}):A.compute(Cs(J,e,t,T,i,I),{inputs:J});return}let L=!0,w=A.kernelCustomData.wT??A.compute(nI(g[1],jo),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=w);let u=[g[0],w];s&&u.push(g[2]);let _=i?a*d:c,y=i?c:a*d,M=Q*B*r;A.compute(dw(u,e,t,_,y,M,s,L,I),{inputs:u})},Id=(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),s=[1].concat(g.dilations),o=[1].concat(g.kernelShape),C=Vo({...g,pads:i,strides:t,dilations:s,kernelShape:o},I);or(A,I,C,r=>e?[r[0],r[2],r[3]]:[r[0],r[1],r[3]])},id=(A,g,e)=>{let I=e.format==="NHWC"?"channelsLast":"channelsFirst",i=Vo(e,g),t=e.autoPad==="NOTSET"?e.pads:e.autoPad,s=uw(g[0].dims,g[1].dims,e.strides,e.dilations,t,!1,I);A.compute(hw(g,i,s.outShape,[s.filterDepth,s.filterHeight,s.filterWidth],[s.padInfo.front,s.padInfo.top,s.padInfo.left],I))},jr=(A,g)=>{if(gd(A.inputs,g),A.inputs[0].dims.length===3)Id(A,g);else if(A.inputs[0].dims.length===5)id(A,A.inputs,g);else{let e=Vo(g,A.inputs);or(A,A.inputs,e)}}}),pw,$f=jA(()=>{ye(),jI(),Ge(),Ke(),pw=(A,g,e)=>{let I=A.length>2,i=g.outputShape,t=g.format==="NHWC",s=g.group,o=A[1].dims,C=o[2]/s,r=o[3],Q=t?Dg(C):1,B=t&&r===1&&C>=4,a=B?Math.floor(C/4)*4:Math.floor(C/Q)*Q,d=C-a,c=t?Dg(r):1,p=t?r===1?Q:c:1,L=FA.size(i)/c,w=[Math.ceil(L/64),1,1];Ye("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${w}`);let u=["rank","rank"],_=[g.strides[0],g.strides[1]],y=[g.kernelShape[t?1:2],g.kernelShape[t?2:3]],M=[g.dilations[0],g.dilations[1]],F=[y[0]+(g.dilations[0]<=1?0:(g.kernelShape[t?1:2]-1)*(g.dilations[0]-1)),y[1]+(g.dilations[1]<=1?0:(g.kernelShape[t?2:3]-1)*(g.dilations[1]-1))],m=[F[0]-1-Math.floor((g.pads[0]+g.pads[2])/2),F[1]-1-Math.floor((g.pads[1]+g.pads[3])/2)],G=[{type:12,data:L},{type:12,data:_},{type:12,data:y},{type:12,data:M},{type:12,data:F},{type:6,data:m},{type:12,data:a},{type:12,data:C},{type:12,data:r},...de(A[0].dims,A[1].dims)];I&&(G.push(...de(A[2].dims)),u.push("rank")),G.push(...de(i));let T=J=>{let Z=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:_.length},{name:"filter_dims",type:"u32",length:y.length},{name:"dilations",type:"u32",length:y.length},{name:"effective_filter_dims",type:"u32",length:F.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),P=t?1:2,tA=t?2:3,AA=t?3:1,iA=UA("W",A[1].dataType,A[1].dims.length,p),rA=UA("Dy",A[0].dataType,A[0].dims.length,Q),CA=[rA,iA];I&&CA.push(UA("bias",A[2].dataType,[i[AA]].length,c));let cA=ne("result",A[0].dataType,i.length,c),uA=()=>{let $="";if(B)Q===4?$+=`
        let xValue = ${rA.getByOffset("x_offset")};
        let wValue = ${iA.getByOffset("w_offset")};
        dotProd = dotProd + dot(xValue, wValue);
        x_offset += 1u;
        w_offset += 1u;`:Q===2?$+=`
          dotProd = dotProd + dot(vec4<${z}>(${rA.getByOffset("x_offset")}, ${rA.getByOffset("x_offset + 1u")}), vec4<${z}>(${iA.getByOffset("w_offset")}, ${iA.getByOffset("w_offset + 1u")}));
          x_offset += 2u;
          w_offset += 2u;`:Q===1&&($+=`
          dotProd = dotProd + dot(vec4<${z}>(${rA.getByOffset("x_offset")}, ${rA.getByOffset("x_offset + 1u")}, ${rA.getByOffset("x_offset + 2u")}, ${rA.getByOffset("x_offset + 3u")}), vec4<${z}>(${iA.getByOffset("w_offset")}, ${iA.getByOffset("w_offset + 1u")}, ${iA.getByOffset("w_offset + 2u")}, ${iA.getByOffset("w_offset + 3u")}));
          x_offset += 4u;
          w_offset += 4u;`);else if($+=`
                  let xValue = ${t?rA.getByOffset(`${rA.indicesToOffset(`${rA.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${Q}`):rA.get("batch","inputChannel","idyR","idyC")};
        `,Q===1)$+=`
          let w_offset = ${iA.indicesToOffset(`${iA.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
          let wValue = ${iA.getByOffset(`w_offset / ${p}`)};
          dotProd = dotProd + xValue * wValue;`;else for(let W=0;W<Q;W++)$+=`
            let wValue${W} = ${iA.getByOffset(`${iA.indicesToOffset(`${iA.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${W}, wOutChannel)`)} / ${p}`)};
            dotProd = dotProd + xValue[${W}] * wValue${W};`;return $},v=()=>{if(d===0)return"";if(!B)throw new Error(`packInputAs4 ${B} is not true.`);let $="";if(Q===1){$+="dotProd = dotProd";for(let W=0;W<d;W++)$+=`
            + ${rA.getByOffset(`x_offset + ${W}`)} * ${iA.getByOffset(`w_offset + ${W}`)}`;$+=";"}else if(Q===2){if(d!==2)throw new Error(`Invalid inputChannelsRemainder ${d}.`);$+=`
          let xValue = ${rA.getByOffset("x_offset")};
          let wValue = ${iA.getByOffset("w_offset")};
          dotProd = dotProd + dot(xValue, wValue);`}return $},x=`
            let outputIndices = ${cA.offsetToIndices(`global_idx * ${c}`)};
            let batch = ${cA.indicesGet("outputIndices",0)};
            let d1 = ${cA.indicesGet("outputIndices",AA)};
            let r = ${cA.indicesGet("outputIndices",P)};
            let c = ${cA.indicesGet("outputIndices",tA)};
            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 >= ${z}(uniforms.Dy_shape[${P}]) || 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 >= ${z}(uniforms.Dy_shape[${tA}]) ||
                    fract(dyC) > 0.0 || wCPerm < 0) {
                  continue;
                }
                let idyC: u32 = u32(dyC);
                var inputChannel = groupId * uniforms.input_channels_per_group;
                ${B?`
                var x_offset = ${rA.indicesToOffset(`${rA.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${Q};
                var w_offset = ${iA.indicesToOffset(`${iA.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${p};
                  `:""}
                for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${B?4:Q}) {
                  ${uA()}
                  inputChannel = inputChannel + ${B?4:Q};
                }
                ${v()}
                wC = wC + uniforms.strides.y - 1;
              }
              wR = wR + uniforms.strides[0] - 1;
            }
            let value = dotProd${I?` + bias[d1 / ${c}]`:""};
            ${cA.setByOffset("global_idx","value")};
          `;return`
    ${J.registerUniforms(Z).declareVariables(...CA,cA)}
      ${J.mainStart()}
      ${J.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
    ${x}}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${g.cacheKey};${Q}${p}${c}${B}${d}`,inputDependencies:u},getRunData:()=>({dispatchGroup:{x:w[0],y:w[1],z:w[2]},outputs:[{dims:e?e(i):i,dataType:A[0].dataType}],programUniforms:G}),getShaderSource:T}}}),td,od,sd,sr,fw,Cd,Cr,rd,yw,Zf=jA(()=>{$f(),Si(),oi(),td=(A,g,e,I,i,t)=>(A-1)*g+e+(I-1)*i+1-t,od=(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)},sd=(A,g,e,I,i,t,s,o,C,r)=>{let Q=A.length-2,B=r.length===0;C.length<Q&&C.push(...Array(Q-C.length).fill(0));let a=A[0],d=g[o?3:1]*i;for(let c=0,p=A.length-Q-(o?1:0);c<Q;++c,++p){let L=A[p],w=B?L*s[c]:r[c],u=td(L,s[c],t[c],g[p],e[c],w);od(u,I,t,c,c+Q),B&&r.push(s[c]*(L-1)+C[c]+(g[p]-1)*e[c]+1-t[c]-t[c+Q])}r.splice(0,0,a),r.splice(o?3:1,0,d)},sr=(A,g)=>{let e=A.kernelShape.slice();if(A.kernelShape.length===0||A.kernelShape.reduce((B,a)=>B*a,1)===0){e.length=0;for(let B=2;B<g[1].dims.length;++B)e.push(g[1].dims[B])}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(),s=A.outputPadding.slice(),o=g[0].dims,C=A.dilations.slice();if(C.reduce((B,a)=>B+a,0)===0){let B=g[0].dims.length-2;C=new Array(B).fill(1)}let r=A.strides.slice();if(r.reduce((B,a)=>B+a,0)===0){let B=g[0].dims.length-2;r=new Array(B).fill(1)}sd(o,e,C,A.autoPad,A.group,i,r,I,s,t);let Q=Object.assign({},A);return Object.assign(Q,{kernelShape:e,pads:i,outputPadding:s,outputShape:t,dilations:C,strides:r}),Q},fw=A=>{let g=ca(A),e=A.format,I=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof A.autoPad>"u"?0:A.autoPad],i=A.dilations,t=A.group,s=A.kernelShape,o=A.pads,C=A.strides,r=A.wIsConst(),Q=A.outputPadding,B=A.outputShape;return{autoPad:I,format:e,dilations:i,group:t,kernelShape:s,outputPadding:Q,outputShape:B,pads:o,strides:C,wIsConst:r,...g,cacheKey:`${A.format};${g.activation};`}},Cd=(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((s,o)=>s+o,0)>0&&g.dilations.length!==t)throw new Error(`dilations should be ${t}D`);if(g.strides.reduce((s,o)=>s+o,0)>0&&g.strides.length!==t)throw new Error(`strides should be ${t}D`);if(g.pads.reduce((s,o)=>s+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 ${t}D`);if(g.kernelShape.reduce((s,o)=>s+o,0)>0&&g.kernelShape.length!==0&&g.kernelShape.length!==A[1].dims.length-2)throw new Error("invalid kernel shape");if(g.outputShape.length!==0&&g.outputShape.length!==A[0].dims.length-2)throw new Error("invalid output shape")},Cr=(A,g,e,I)=>{let i=A.kernelCustomData.wT??A.compute(nI(g[1],[2,3,0,1]),{inputs:[1],outputs:[e.wIsConst?-2:-1]})[0];e.wIsConst&&!A.kernelCustomData.wT&&(A.kernelCustomData.wT=i);let t=[g[0],i];g.length===3&&t.push(g[2]),A.compute(pw(t,e,I),{inputs:t})},rd=(A,g)=>{let e=g.format==="NHWC",I=[A.inputs[0].reshape(e?[A.inputs[0].dims[0],1,A.inputs[0].dims[1],A.inputs[0].dims[2]]:[A.inputs[0].dims[0],A.inputs[0].dims[1],1,A.inputs[0].dims[2]]),A.inputs[1].reshape([A.inputs[1].dims[0],A.inputs[1].dims[1],1,A.inputs[1].dims[2]])];A.inputs.length===3&&I.push(A.inputs[2]);let i=g.kernelShape;(i.length===0||i[0]===0)&&(i=[A.inputs[1].dims[2]]);let t=g.dilations;(t.length===0||t[0]===0)&&(t=[1]);let s=g.strides;(s.length===0||s[0]===0)&&(s=[1]);let o=g.pads;o.length===0&&(o=[0,0]),o=[0,o[0],0,o[1]],s=[1].concat(s),t=[1].concat(t),i=[1].concat(i);let C=g.outputPadding;C=[0].concat(C);let r=sr({...g,pads:o,strides:s,dilations:t,kernelShape:i,outputPadding:C},I);Cr(A,I,r,Q=>e?[Q[0],Q[2],Q[3]]:[Q[0],Q[1],Q[3]])},yw=(A,g)=>{if(Cd(A.inputs,g),A.inputs[0].dims.length===3)rd(A,g);else{let e=sr(g,A.inputs);Cr(A,A.inputs,e)}}}),ad,mw,Mw,Xf=jA(()=>{ye(),Ge(),pg(),Ke(),ad=(A,g,e,I)=>{let i=FA.size(g),t=g.length,s=UA("input",A,t),o=ne("output",A,t),C=e.dataType===6?e.getInt32Array()[0]:Number(e.getBigInt64Array()[0]),r=FA.normalizeAxis(C,t),Q=B=>{let a=` i32(${s.indicesGet("inputIndices","uniforms.axis")}) `,d=le("uniforms.input_shape","uniforms.axis",t),c=I.reverse?a+(I.exclusive?" + 1":""):"0",p=I.reverse?d:a+(I.exclusive?"":" + 1");return`
                ${B.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(s,o)}
                ${B.mainStart()}
                  ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
                  var inputIndices = ${o.offsetToIndices("global_idx")};
                  var sum = ${o.type.value}(0);
                  let first : i32 = ${c};
                  let last : i32 = ${p};
                  for (var i : i32 = first; i < last; i++) {
                    ${s.indicesSet("inputIndices","uniforms.axis","u32(i)")};
                    sum = sum + ${s.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:r},...de(g,g)]}),getShaderSource:Q}},mw=(A,g)=>{let e=A.inputs[0].dims,I=A.inputs[0].dataType,i=A.inputs[1];A.compute(ad(I,e,i,g),{inputs:[0]})},Mw=A=>{let g=A.exclusive===1,e=A.reverse===1;return We({exclusive:g,reverse:e})}}),Bd,Qd,nd,Fw,Sw,Ay=jA(()=>{ye(),Ge(),pg(),Ke(),Bd=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.")},Qd=(A,g,e,I)=>{let i=[];i.push(`fn perm(i: ${I.type.indices}) -> ${e.type.indices} {
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  ${w.registerUniform("output_size","u32").declareVariables(c,p)}

  ${Qd(o,a,c,p)}

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

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

    ${p.setByOffset("global_idx",c.getByIndices("aIndices"))}
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            ${r.registerUniforms(o.map(y=>({name:`${ar(y)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...i,s)}

            ${r.mainStart()}
            ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
            var outputIndices = ${s.offsetToIndices("global_idx")};
            ${i.map((y,M)=>`var input${M}Indices: ${i[M].type.indices};`).join(`
`)}
            ${_.join(`
`)};
            ${s.setByOffset("global_idx","sum")};
          }`};return{name:"Einsum",shaderCache:{hint:e.equation,inputDependencies:A.map(()=>"rank")},getRunData:()=>{let r=o.filter(B=>e.symbolToInfo.has(B)).map(B=>({type:12,data:e.symbolToInfo.get(B)?.dimValue||0}));r.push({type:12,data:t});let Q=A.map((B,a)=>[...de(B)]).reduce((B,a)=>B.concat(a),r);return Q.push(...de(I)),{outputs:[{dims:I,dataType:g}],dispatchGroup:{x:Math.ceil(t/64)},programUniforms:Q}},getShaderSource:C}},Nw=(A,g)=>{let e=new dd(A.inputs,g.equation),I=e.outputDims,i=A.inputs.map((t,s)=>t.dims);A.compute(ud(i,A.inputs[0].dataType,e,I))},_w=A=>{let g=A.equation.replace(/\s+/g,"");return We({equation:g})}}),hd,Br,Dd,wd,Rw,gy=jA(()=>{ye(),Ge(),Ke(),hd=A=>{if(!A||A.length!==2)throw new Error("Expand requires 2 input.");let g=A[0].dims,e=Array.from(A[1].getBigInt64Array(),Number),I=e.length<g.length?0:e.length-g.length,i=g.length<e.length?0:g.length-e.length;for(;I<e.length&&i<g.length;++I,++i)if(e[I]!==g[i]&&e[I]!==1&&g[i]!==1)throw new Error("Expand requires shape to be broadcastable to input")},Br=(A,g)=>{let e=A.length-g.length,I=[];for(let i=0;i<e;++i)I.push(A[i]);for(let i=0;i<g.length;++i)I.push(g[i]===1?A[i+e]:g[i]);return I},Dd=(A,g)=>A.length>g.length?Br(A,g):Br(g,A),wd=A=>{let g=A[0].dims,e=Array.from(A[1].getBigInt64Array(),Number),I=Dd(g,e),i=A[0].dataType,t=i===9||FA.size(g)===1,s=i===9||g.length>0&&g[g.length-1]%4===0?4:1,o=t||I.length>0&&I[I.length-1]%4===0?4:1,C=Math.ceil(FA.size(I)/o),r=B=>{let a=UA("input",i,g.length,s),d=ne("output",i,I.length,o),c;if(i===9){let p=(L,w,u="")=>`
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          let offset${w} = ${a.broadcastedIndicesToOffset(`outputIndices${w}`,d)};
          let index${w} = offset${w} / 4u;
          let component${w} = offset${w} % 4u;
          ${L}[${w}] = ${u}(${a.getByOffset(`index${w}`)}[component${w}]);
        `;c=`
        let outputOffset = global_idx * ${o};
        var data = vec4<u32>(0);
        ${p("data",0,"u32")}
        ${p("data",1,"u32")}
        ${p("data",2,"u32")}
        ${p("data",3,"u32")}
        ${d.setByOffset("global_idx","data")}
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        let outputIndices = ${d.offsetToIndices(`global_idx * ${o}`)};
        let inputOffset = ${a.broadcastedIndicesToOffset("outputIndices",d)};
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        ${d.setByOffset("global_idx","data")}
      }`;return`
    ${B.registerUniform("vec_size","u32").declareVariables(a,d)}
    ${B.mainStart()}
    ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
    ${c}`},Q=[{type:12,data:C},...de(g,I)];return{name:"Expand",shaderCache:{hint:`${I.length};${s}${o}`,inputDependencies:["rank"]},getShaderSource:r,getRunData:()=>({outputs:[{dims:I,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:Q})}},Rw=A=>{hd(A.inputs),A.compute(wd(A.inputs),{inputs:[0]})}}),pd,Gw,Iy=jA(()=>{ye(),Ge(),Ke(),la(),pd=A=>{let g=A[0].dataType,e=FA.size(A[0].dims),I=FA.size(A[1].dims),i=I%4===0,t=s=>{let o=UA("x",g,[1],4),C=UA("bias",g,[1],4),r=ne("y",g,[1],4),Q=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],B=d=>`
      let bias${d}_offset: u32 = (global_idx * 4 + ${d}) % uniforms.bias_size;
      let bias${d} = ${C.getByOffset(`bias${d}_offset / 4`)}[bias${d}_offset % 4];`,a=i?`
      let bias = ${C.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${B(0)}${B(1)}${B(2)}${B(3)}
      let bias = ${o.type.value}(bias0, bias1, bias2, bias3);`;return`${s.registerUniforms(Q).declareVariables(o,C,r)}

    ${vr(Xg(g))}

    ${s.mainStart(et)}
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      let x = ${o.getByOffset("global_idx")};
      ${a}
      let x_in = x + bias;
      ${r.setByOffset("global_idx",Hr("x_in"))}
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          var idx${u} = ${c.getByIndices(`indicesIndices${u}`)};
          if (idx${u} < 0) {
            idx${u} = idx${u} + uniforms.axisDimLimit;
          }
          var dataIndices${u} : ${d.type.indices};
        `;for(let M=0,F=0;M<i;M++)M===t?(y+=`${i>1?`dataIndices${u}[${M}]`:`dataIndices${u}`} = u32(idx${u});`,F+=_):(y+=`${i>1?`dataIndices${u}[${M}]`:`dataIndices${u}`} = ${s.length>1?`outputIndices${u}[${F}]`:`outputIndices${u}`};`,F++);return y},w;if(A[0].dataType===9){let u=(_,y,M="")=>`
          let outputIndices${y} = ${p.offsetToIndices(`outputOffset + ${y}u`)};
          ${L(y)};
          let offset${y} = ${d.indicesToOffset(`dataIndices${y}`)};
          let index${y} = offset${y} / 4u;
          let component${y} = offset${y} % 4u;
          ${_}[${y}] = ${M}(${d.getByOffset(`index${y}`)}[component${y}]);
        `;w=`
        let outputOffset = global_idx * ${C};
        var value = vec4<u32>(0);
        ${u("value",0,"u32")}
        ${u("value",1,"u32")}
        ${u("value",2,"u32")}
        ${u("value",3,"u32")}
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      `}else w=`
      let outputIndices = ${p.offsetToIndices("global_idx")};
      ${L("")};
      let value = ${d.getByIndices("dataIndices")};
      ${p.setByOffset("global_idx","value")};
      `;return`
      ${a.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(d,c,p)}
      ${a.mainStart()}
        ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        ${w}
      }`};return{name:"Gather",shaderCache:{hint:g.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:s,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:Q}),getShaderSource:B}},kw=A=>We({axis:A.axis}),Lw=(A,g)=>{let e=A.inputs;fd(e),A.compute(yd(A.inputs,g))}}),md,Kw,Uw,ty=jA(()=>{ye(),Ge(),Ke(),md=(A,g,e,I,i,t,s,o,C)=>{let r=[{type:12,data:t},{type:12,data:I},{type:12,data:i},{type:12,data:e},{type:12,data:s},{type:12,data:o},{type:12,data:C}],Q=[t];r.push(...de(g.dims,Q));let B=a=>{let d=UA("indices_data",g.dataType,g.dims.length),c=ne("input_slice_offsets_data",12,1,1),p=[d,c],L=[{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`
  ${a.registerUniforms(L).declareVariables(...p)}
  ${a.mainStart()}
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    let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;
    var relative_slice_offset = 0;
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      var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);
      let input_dim_idx = uniforms.batch_dims + dim_idx;
      if (index < 0) {
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      }
      ${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]);"}
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          ${y.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(M,F,m)}
            ${y.mainStart()}
            ${y.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:L,dataType:i}],dispatchGroup:{x:Math.ceil(w/64)},programUniforms:u}),getShaderSource:_},{inputs:[e[0],c]})},Uw=A=>({batchDims:A.batch_dims,cacheKey:""})}),Md,Fd,bw,Jw,oy=jA(()=>{ye(),Ge(),pg(),Ke(),Md=(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],s=A.length===4?A[3]:void 0;if(t.dims.length!==i.dims.length||!i.dims.map((o,C)=>C===e?Math.ceil(o/I)===t.dims[C]:o===t.dims[C]).reduce((o,C)=>o&&C,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(s){if(s.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(s.dims.length!==t.dims.length||!s.dims.map((o,C)=>o===t.dims[C]).reduce((o,C)=>o&&C,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},Fd=(A,g)=>{let e=A[0].dims,I=A[1].dims,i=e.length,t=FA.normalizeAxis(g.gatherAxis,i),s=FA.normalizeAxis(g.quantizeAxis,i),o=e.slice(0);o.splice(t,1,...I);let C=FA.size(o),r=A[2].dataType,Q=A[0].dataType===22,B=[{type:12,data:C},{type:12,data:s},{type:12,data:t},{type:12,data:g.blockSize},...de(...A.map((d,c)=>d.dims),o)],a=d=>{let c=UA("data",A[0].dataType,A[0].dims.length),p=UA("inputIndices",A[1].dataType,A[1].dims.length),L=UA("scales",A[2].dataType,A[2].dims.length),w=A.length>3?UA("zeroPoint",A[3].dataType,A[3].dims.length):void 0,u=ne("output",r,o.length),_=[c,p,L];w&&_.push(w);let y=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
        ${d.registerUniforms(y).declareVariables(..._,u)}
        ${d.mainStart()}
        let output_indices = ${u.offsetToIndices("global_idx")};
        var indices_indices = ${p.type.indices}(0);
        ${I.length>1?`
          for (var i: u32 = 0; i < ${I.length}; i++) {
            let index = ${u.indicesGet("output_indices","uniforms.gather_axis + i")};
            ${p.indicesSet("indices_indices","i","index")};
          }`:`indices_indices = ${u.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 = ${u.indicesGet("output_indices","i")};
          ${c.indicesSet("data_indices","i","index")};
        }
        var index_from_indices = ${p.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 = ${u.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 = ${L.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
        ${L.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
        var scale = ${L.getByIndices("scale_indices")};
        ${w?`
              let zero_point_indices = scale_indices;
              let zero_point_offset = ${w.indicesToOffset("zero_point_indices")};
              let zero_point_index = zero_point_offset % 8;
              let packed_4bit_zero_points = ${w.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(r)}(quantized_data - zero_point) * scale;
        ${u.setByOffset("global_idx","dequantized_data")};
    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${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:r}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:B}),getShaderSource:a}},bw=(A,g)=>{let e=A.inputs;Md(e,g),A.compute(Fd(A.inputs,g))},Jw=A=>We({blockSize:A.blockSize,gatherAxis:A.gatherAxis,quantizeAxis:A.quantizeAxis})}),Sd,Nd,xw,Tw,sy=jA(()=>{ye(),Ge(),pg(),Ke(),Sd=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.`)},Nd=(A,g)=>{let e=A[0].dims,I=A[0].dataType,i=e.length,t=A[1].dims,s=A[1].dataType,o=FA.normalizeAxis(g.axis,i),C=e[o],r=t.slice(0),Q=FA.size(r),B=UA("input",I,i),a=UA("indicesInput",s,t.length),d=ne("output",I,r.length),c=[{type:12,data:Q},{type:6,data:C},{type:12,data:o}];return c.push(...de(e,t,r)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(Q/64)},programUniforms:c}),getShaderSource:p=>`
      ${p.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(B,a,d)}
      ${p.mainStart()}
      ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

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

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

      ${d.setByOffset("global_idx","value")};
  }`}},xw=A=>We({axis:A.axis}),Tw=(A,g)=>{let e=A.inputs;Sd(e),A.compute(Nd(A.inputs,g))}}),_d,Rd,Yw,Pw,Cy=jA(()=>{ye(),Ge(),Ke(),_d=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")},Rd=(A,g)=>{let e=A[0].dims.slice(),I=A[1].dims.slice(),[i,t,s]=xh.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 C=16,r=Math.ceil(t/C),Q=Math.ceil(i/C),B=!0,a=FA.size(o),d=[{type:12,data:B?r:a},{type:12,data:i},{type:12,data:t},{type:12,data:s},{type:1,data:g.alpha},{type:1,data:g.beta}],c=["type","type"];A.length===3&&(d.push(...de(A[2].dims)),c.push("rank")),d.push(...de(o));let p=w=>{let u="";g.transA&&g.transB?u="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":g.transA&&!g.transB?u="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!g.transA&&g.transB?u="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!g.transA&&!g.transB&&(u="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let _=g.alpha===1?"":"value *= uniforms.alpha;",y=UA("a",A[0].dataType,A[0].dims),M=UA("b",A[1].dataType,A[1].dims),F=y.type.value,m=null,G=[y,M];A.length===3&&(m=UA("c",A[2].dataType,A[2].dims.length),G.push(m));let T=ne("output",A[0].dataType,o.length);G.push(T);let J=[{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`
  ${w.registerUniforms(J).declareVariables(...G)}

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

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

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

    ${_}
    ${m!=null?`let cOffset = ${m.broadcastedIndicesToOffset("vec2(m, n)",T)}; value += ${F}(uniforms.beta) * ${m.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`},L=w=>{let u=UA("a",A[0].dataType,A[0].dims),_=UA("b",A[1].dataType,A[1].dims),y=null,M=[u,_];A.length===3&&(y=UA("c",A[2].dataType,A[2].dims.length),M.push(y));let F=ne("output",A[0].dataType,o.length);M.push(F);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"}],G="",T="";g.transA&&g.transB?(T=`
      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] = ${u.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] = ${_.type.value}(0);
      }
      `,G="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):g.transA&&!g.transB?(T=`
      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] = ${u.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] = ${_.type.value}(0);
      }
      `,G="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!g.transA&&g.transB?(T=`
      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] = ${u.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] = ${_.type.value}(0);
      }
      `,G="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!g.transA&&!g.transB&&(T=`
      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] = ${u.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] = ${_.type.value}(0);
      }
      `,G="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let J=g.alpha===1?"":"value *= uniforms.alpha;";return`
  ${w.registerUniforms(m).declareVariables(...M)}
  var<workgroup> tile_a: array<array<${u.type.storage}, ${C}>, ${C}>;
  var<workgroup> tile_b: array<array<${_.type.storage}, ${C}>, ${C}>;
  ${w.mainStart([C,C,1])}
    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${C};
    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${C};
    let num_tiles = (uniforms.K - 1) / ${C} + 1;
    var k_start = 0u;
    var value = ${F.type.value}(0);
    for (var t: u32 = 0u; t < num_tiles; t++) {
      ${T}
      k_start = k_start + ${C};
      workgroupBarrier();

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

    ${J}
    let m = tile_row_start + local_id.y;
    let n = tile_col_start + local_id.x;
    ${y!=null?`let cOffset = ${y.broadcastedIndicesToOffset("vec2(m, n)",F)}; value += ${F.type.value}(uniforms.beta) * ${y.getByOffset("cOffset")};`:""}
    if (m < uniforms.M && n < uniforms.N) {
      output[m * uniforms.N + n] = value;
    }
  }`};return B?{name:"GemmShared",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:A[0].dataType}],dispatchGroup:{x:r*Q},programUniforms:d}),getShaderSource:L}:{name:"Gemm",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:d}),getShaderSource:p}},Yw=A=>{let g=A.transA,e=A.transB,I=A.alpha,i=A.beta;return{transA:g,transB:e,alpha:I,beta:i,cacheKey:`${A.transA};${A.transB};${A.alpha===1}`}},Pw=(A,g)=>{_d(A.inputs),A.compute(Rd(A.inputs,g))}}),PI,OI,ci,di,Gd,kd,Ld,Kd,Ud,bd,Jd,xd,vw,Hw,ry=jA(()=>{ye(),Ge(),pg(),Ke(),[PI,OI,ci,di]=[0,1,2,3],Gd=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 ${A[0].dims.length-2}`);if(A[0].dims[0]!==A[1].dims[0])throw new Error("grid batch size must match input batch size")},kd=`
  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
    let cubic_alpha = -0.75f;
    let x_abs = abs(x);
    var coeffs: vec4<f32>;
    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
    return coeffs;
  }
`,Ld=A=>`
  fn gs_bicubic_interpolate(p: mat4x4<${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;
  }
`,Kd=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));
    `}
  }
`,Ud=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);
      }`:""}
`,bd=(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 = ${g}(0);
     var indices = vec4<u32>(0);
     indices[${PI}] = batch;
     indices[${OI}] = channel;`+(()=>{switch(e.paddingMode){case"zeros":return`
          if (r >= 0 && r < H && c >=0 && c < W) {
            indices[${ci}] = u32(r);
            indices[${di}] = u32(c);
          } else {
            return ${g}(0);
          }
        `;case"border":return`
          indices[${ci}] = u32(clamp(r, 0, H - 1));
          indices[${di}] = u32(clamp(c, 0, W - 1));
        `;case"reflection":return`
          indices[${ci}] = gs_reflect(r, border[1], border[3]);
          indices[${di}] = gs_reflect(c, border[0], border[2]);
        `;default:throw new Error(`padding mode ${e.paddingMode} is not supported`)}})()+`
    return ${A.getByIndices("indices")};
  }
`,Jd=(A,g,e)=>(()=>{switch(e.mode){case"nearest":return`
          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${PI}], indices[${OI}], 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[${PI}], indices[${OI}], border);
          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${PI}], indices[${OI}], border);
          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${PI}], indices[${OI}], border);
          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${PI}], indices[${OI}], 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[${PI}], indices[${OI}], 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")}`,xd=(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]],[PI,OI,ci,di]=[0,3,1,2]);let s=ne("output",A[0].dataType,t.length),o=e.type.value,C=FA.size(t),r=[{type:12,data:C},...de(A[0].dims,I,t)],Q=B=>`
  ${B.registerUniform("output_size","u32").declareVariables(e,i,s)}
  ${kd}
  ${Ld(o)}
  ${Kd(g)}
  ${Ud(g)}
  ${bd(e,o,g)}

  ${B.mainStart()}
    ${B.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let H_in = i32(uniforms.x_shape[${ci}]);
      let W_in = i32(uniforms.x_shape[${di}]);

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

      ${Jd(s,o,g)}
  }`;return{name:"GridSample",shaderCache:{hint:`${g.cacheKey}`,inputDependencies:["type","type"]},getRunData:B=>{let a=FA.size(t);return{outputs:[{dims:t,dataType:B[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:r}},getShaderSource:Q}},vw=(A,g)=>{Gd(A.inputs),A.compute(xd(A.inputs,g))},Hw=A=>We({alignCorners:A.align_corners,mode:A.mode,paddingMode:A.padding_mode,format:A.format})}),II,Td,qw,Qr,Yd,qt,Ow,Ww=jA(()=>{ye(),Ge(),pg(),Ba(),Ea(),Ke(),oi(),II=(A,g)=>A.length>g&&A[g].dims.length>0?A[g]:void 0,Td=(A,g)=>{let e=A[0],I=II(A,1),i=II(A,2),t=II(A,3),s=II(A,4),o=II(A,5),C=II(A,6),r=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],B=e.dims[1],a=e.dims.length===3?e.dims[2]:g.numHeads*e.dims[4],d=B,c=0,p=0,L=Math.floor(a/g.numHeads);if(C&&r&&FA.size(C.dims)&&FA.size(r.dims)){if(C.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(C.dims[0]!==Q||C.dims[1]!==g.numHeads||C.dims[3]!==L)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(r.dims[0]!==Q||r.dims[1]!==g.numHeads||r.dims[3]!==L)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(C.dims[2]!==r.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(r.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');c=C.dims[2],p=C.dims[2]}else if(C&&FA.size(C.dims)||r&&FA.size(r.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let w;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)');w=2,d=I.dims[1]}else if(I.dims.length===5){if(I.dims[2]!==g.numHeads||I.dims[3]!==2||I.dims[4]!==L)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.');w=5,d=I.dims[1]}else{if(I.dims[1]!==g.numHeads||I.dims[3]!==L)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');w=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');w=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 u=c+d,_=0;if(s&&FA.size(s.dims)>0){_=8;let m=s.dims;throw m.length===1?m[0]===Q?_=1:m[0]===3*Q+2&&(_=3):m.length===2&&m[0]===Q&&m[1]===u&&(_=5),_===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let y=!1,M=a;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)');M=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)');M=i.dims[1]*i.dims[3],y=!0}}let F=!1;if(s&&FA.size(s.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]!==B||o.dims[3]!==u)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:Q,sequenceLength:B,pastSequenceLength:c,kvSequenceLength:d,totalSequenceLength:u,maxSequenceLength:p,inputHiddenSize:0,hiddenSize:a,vHiddenSize:M,headSize:L,vHeadSize:Math.floor(M/g.numHeads),numHeads:g.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:g.maskFilterValue,maskType:_,scale:g.scale,broadcastResPosBias:F,passPastInKv:y,qkvFormat:w}},qw=A=>We({...A}),Qr=We({perm:[0,2,1,3]}),Yd=(A,g,e,I,i,t,s)=>{let o=[I,i,t],C=FA.size(o),r=[{type:12,data:C},{type:12,data:s},{type:12,data:t}],Q=B=>{let a=ne("qkv_with_bias",g.dataType,o),d=UA("qkv",g.dataType,o),c=UA("bias",e.dataType,o),p=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${B.registerUniforms(p).declareVariables(d,c,a)}
  ${B.mainStart()}
    ${B.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(C/64)},programUniforms:r}),getShaderSource:Q},{inputs:[g,e],outputs:[-1]})[0]},qt=(A,g,e,I,i,t,s,o)=>{let C=t;if(s&&FA.size(s.dims)>0){if(I===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return C=Yd(A,t,s,g,I,e*i,o),C=C.reshape([g,I,e,i]),e===1||I===1?C:A.compute(nI(C,Qr.perm),{inputs:[C],outputs:[-1]})[0]}else return t.dims.length===3&&(C=t.reshape([g,I,e,i])),e===1||I===1?C:A.compute(nI(C,Qr.perm),{inputs:[C],outputs:[-1]})[0]},Ow=(A,g)=>{let e=Td(A.inputs,g),I=A.inputs[0],i=II(A.inputs,1),t=II(A.inputs,2),s=II(A.inputs,3),o=II(A.inputs,4),C=II(A.inputs,5),r=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 B=i&&t&&i.dims.length===4&&t.dims.length===4,a=qt(A,e.batchSize,e.numHeads,e.sequenceLength,e.headSize,I,s,0);if(B)return Vt(A,a,i,t,o,void 0,r,Q,C,e);if(!i||!t)throw new Error("key and value must be provided");let d=qt(A,e.batchSize,e.numHeads,e.kvSequenceLength,e.headSize,i,s,e.hiddenSize),c=qt(A,e.batchSize,e.numHeads,e.kvSequenceLength,e.vHeadSize,t,s,2*e.hiddenSize);Vt(A,a,d,c,o,void 0,r,Q,C,e)}}),Pd,vd,Hd,qd,Vr,jw,Vw,zw=jA(()=>{ye(),Ge(),pg(),Ke(),Pd=A=>{if(!A||A.length<1)throw new Error("too few inputs")},vd=(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),We({numOutputs:I,axis:g.axis,splitSizes:e})},Hd=A=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${A}u; i += 1u ) {
    if (index < ${le("uniforms.size_in_split_axis","i",A)}) {
        return i;
    }
    }
    return ${A}u;
}`,qd=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) {
        ${e.join(`
`)}
      }`},Vr=(A,g)=>{let e=A[0].dims,I=FA.size(e),i=A[0].dataType,t=FA.normalizeAxis(g.axis,e.length),s=new Array(g.numOutputs),o=UA("input",i,e.length),C=new Array(g.numOutputs),r=[],Q=[],B=0,a=[{type:12,data:I}];for(let c=0;c<g.numOutputs;c++){B+=g.splitSizes[c],C[c]=B;let p=e.slice();p[t]=g.splitSizes[c],Q.push(p),s[c]=ne(`output${c}`,i,p.length),r.push({dims:Q[c],dataType:A[0].dataType})}a.push({type:12,data:C},...de(e,...Q));let d=c=>`
  ${c.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",C.length).declareVariables(o,...s)}
  ${Hd(C.length)}
  ${qd(s)}

  ${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 -= ${le("uniforms.size_in_split_axis","output_number - 1u",C.length)};
      ${o.indicesSet("indices",t,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:g.cacheKey,inputDependencies:["rank"]},getShaderSource:d,getRunData:()=>({outputs:r,dispatchGroup:{x:Math.ceil(I/64)},programUniforms:a})}},jw=(A,g)=>{Pd(A.inputs);let e=A.inputs.length===1?g:vd(A.inputs,g);A.compute(Vr(A.inputs,e),{inputs:[0]})},Vw=A=>{let g=A.axis,e=A.splitSizes,I=A.numOutputs<0?e.length:A.numOutputs;if(I!==e.length)throw new Error("numOutputs and splitSizes lengh must be equal");return We({axis:g,numOutputs:I,splitSizes:e})}}),Od,rs,$w,Zw=jA(()=>{ye(),Ge(),pg(),Ke(),Od=(A,g)=>{let[e,I,i,t]=A,{numHeads:s,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&&s===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let C=e.dims[0],r=e.dims[e.dims.length-2],Q=i.dims[0],B=FA.sizeFromDimension(e.dims,1)/r,a=o===0?i.dims[1]*2:B/s;if(o>a)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(I.dims.length===2){if(C!==I.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${I.dims[0]}`);if(r!==I.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${I.dims[1]}`)}if(a/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(r>Q)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},rs=(A,g)=>{let{interleaved:e,numHeads:I,rotaryEmbeddingDim:i,scale:t}=g,s=A[0].dims[0],o=FA.sizeFromDimension(A[0].dims,1),C=A[0].dims[A[0].dims.length-2],r=o/C,Q=A[2].dims[1],B=i===0?Q*2:r/I,a=new Array(s,C,r/B,B-Q),d=FA.computeStrides(a),c=[{type:1,data:t},{type:12,data:a},{type:12,data:d},...A[0].dims.length===3?new Array({type:12,data:[o,r,B,1]}):[],...A[0].dims.length===4?new Array({type:12,data:[o,B,C*B,1]}):[],...de(A[0].dims,A[1].dims,A[2].dims,A[3].dims,A[0].dims)],p=L=>{let w=UA("input",A[0].dataType,A[0].dims.length),u=UA("position_ids",A[1].dataType,A[1].dims.length),_=UA("cos_cache",A[2].dataType,A[2].dims.length),y=UA("sin_cache",A[3].dataType,A[3].dims.length),M=ne("output",A[0].dataType,A[0].dims.length);return L.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:a.length},{name:"global_strides",type:"u32",length:d.length},{name:"input_output_strides",type:"u32",length:d.length}]),`
        ${L.declareVariables(w,u,_,y,M)}

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

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${u.broadcastedIndicesToOffset("bsnh.xy",ne("",u.type.tensor,2))};
            let position_id =
                u32(${u.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 = ${w.getByOffset("i")} * ${_.get("position_id","bsnh[3]")} -
                ${w.getByOffset("j")} * ${y.get("position_id","bsnh[3]")};
            ${M.setByOffset("i","re")}
            let im = ${w.getByOffset("i")} * ${y.get("position_id","bsnh[3]")} +
                ${w.getByOffset("j")} * ${_.get("position_id","bsnh[3]")};
            ${M.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${M.setByOffset("k",w.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:We({interleaved:e}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:p,getRunData:()=>({outputs:[{dims:A[0].dims,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(FA.size(a)/et)},programUniforms:c})}},$w=(A,g)=>{Od(A.inputs,g),A.compute(rs(A.inputs,g))}}),Wd,jd,nr,Vd,Xw,ay=jA(()=>{pg(),ye(),Ea(),Ww(),zw(),oi(),Zw(),Ke(),Wd=(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],s=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,C=e.dims[0],r=e.dims[1],Q=e.dims.length===3?o?e.dims[2]/3:e.dims[2]:g.numHeads*e.dims[4],B=r,a=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 p=t&&t.dims.length!==0,L=s&&s.dims.length!==0;if(p&&t.dims.length===4&&t.dims[0]===C&&t.dims[1]!==g.kvNumHeads&&t.dims[2]===g.kvNumHeads&&t.dims[3]===c)throw new Error("BSNH pastKey/pastValue is not supported");if(p&&L){if(t.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(s.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');a=t.dims[2]}else if(p||L)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let w=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"');B=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.');B=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');B=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');w=3}let u=0,_=!1,y=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(B!==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(B!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');y=i.dims[1]*i.dims[3],_=!0}}let M=A.length>4?A[5]:void 0;if(M&&M.dims.length!==1&&M.dims[0]!==C)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:C,sequenceLength:r,pastSequenceLength:a,kvSequenceLength:B,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:Q,vHiddenSize:y,headSize:c,vHeadSize:Math.floor(y/g.kvNumHeads),numHeads:g.numHeads,kvNumHeads:g.kvNumHeads,nReps:g.numHeads/g.kvNumHeads,pastPresentShareBuffer:!1,maskType:u,scale:g.scale,broadcastResPosBias:!1,passPastInKv:_,qkvFormat:w}},jd=We({perm:[0,2,1,3]}),nr=(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(nI(I,jd.perm),{inputs:[I],outputs:[-1]})[0]),I},Vd=(A,g,e,I)=>{let i=7,t=["type","type"],s=[A*g],o=A*g,C=[{type:12,data:o},{type:12,data:g},{type:12,data:A}],r=Q=>{let B=UA("seq_lens",e.dataType,e.dims),a=UA("total_seq_lens",I.dataType,I.dims),d=ne("pos_ids",i,s),c=[{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}];return`
  ${Q.registerUniforms(c).declareVariables(B,a,d)}
  ${Q.mainStart()}
    ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let total_sequence_length = u32(${a.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 = ${B.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};${g}`,inputDependencies:t},getRunData:()=>({outputs:[{dims:s,dataType:i}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:C}),getShaderSource:r}},Xw=(A,g)=>{let e=Wd(A.inputs,g);if(A.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(A.inputs[1]?.dims.length===5)throw new Error("Packed KV is not implemented");let I=A.inputs[0],i=A.inputs[1]&&A.inputs[1].dims.length>0?A.inputs[1]:void 0,t=A.inputs[2]&&A.inputs[2].dims.length>0?A.inputs[2]:void 0,s=A.inputs[3]&&A.inputs[3].dims.length!==0?A.inputs[3]:void 0,o=A.inputs[4]&&A.inputs[4].dims.length!==0?A.inputs[4]:void 0,C=A.inputs.length>4?A.inputs[5]:void 0,r=A.inputs.length>5?A.inputs[6]:void 0,Q=e.kvNumHeads?e.kvNumHeads:e.numHeads,B=We({axis:2,numOutputs:3,splitSizes:[e.numHeads*e.headSize,Q*e.headSize,Q*e.headSize]}),[a,d,c]=!i&&!t?A.compute(Vr([I],B),{inputs:[I],outputs:[-1,-1,-1]}):[I,i,t],p,L;if(g.doRotary){let y=A.compute(Vd(e.batchSize,e.sequenceLength,C,r),{inputs:[C,r],outputs:[-1]})[0],M=A.inputs[7],F=A.inputs[8],m=We({interleaved:g.rotaryInterleaved!==0,numHeads:e.numHeads,rotaryEmbeddingDim:0,scale:g.scale}),G=[a,y,M,F],T=[-1];p=A.compute(rs(G,m),{inputs:G,outputs:T})[0],G.splice(0,1,d);let J=We({interleaved:g.rotaryInterleaved!==0,numHeads:e.kvNumHeads,rotaryEmbeddingDim:0,scale:g.scale});L=A.compute(rs(G,J),{inputs:G,outputs:T})[0]}let w=qt(A,e.batchSize,e.numHeads,e.sequenceLength,e.headSize,g.doRotary?p:a,void 0,0),u=nr(A,g.doRotary?L:d,e),_=nr(A,c,e);Vt(A,w,u,_,void 0,void 0,s,o,void 0,e,C,r)}}),Er,zd,$d,A0,By=jA(()=>{ye(),Ge(),oi(),Ke(),Er=(A,g,e,I,i,t,s,o)=>{let C=Dg(t),r=C===1?"f32":`vec${C}f`,Q=C===1?"vec2f":`mat2x${C}f`,B=i*s,a=64;B===1&&(a=256);let d=[i,s,t/C],c=[i,s,2],p=["rank","type","type"],L=[];L.push(...de(d,c));let w=u=>{let _=UA("x",g.dataType,3,C),y=UA("scale",e.dataType,e.dims),M=UA("bias",I.dataType,I.dims),F=ne("output",1,3,2),m=[_,y,M,F];return`
  var<workgroup> workgroup_shared : array<${Q}, ${a}>;
  const workgroup_size = ${a}u;
  ${u.declareVariables(...m)}
  ${u.mainStart(a)}
    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 = ${r}(0);
    var squared_sum = ${r}(0);
    for (var h = local_idx; h < hight; h += workgroup_size) {
      let value = ${r}(${_.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 = ${ti("workgroup_shared[0][0]",C)} / f32(hight * ${C});
      let squared_sum_final = ${ti("workgroup_shared[0][1]",C)} / f32(hight * ${C});

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

  ${w.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], ${y(0)}, ${y(1)});
  }`};A.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${C}`,inputDependencies:B},getRunData:()=>({outputs:[{dims:i,dataType:g[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:Q}),getShaderSource:L},{inputs:[g[0],p]})},A0=(A,g)=>{g.format==="NHWC"?$d(A,A.inputs,g):zd(A,A.inputs,g)}}),Zd,Xd,e0,Qy=jA(()=>{ye(),Ge(),Ke(),Zd=A=>{if(!A||A.length<2)throw new Error("layerNorm requires at least 2 inputs.")},Xd=(A,g,e)=>{let I=g.simplified,i=A[0].dims,t=A[1],s=!I&&A[2],o=i,C=FA.normalizeAxis(g.axis,i.length),r=FA.sizeToDimension(i,C),Q=FA.sizeFromDimension(i,C),B=FA.size(t.dims),a=s?FA.size(s.dims):0;if(B!==Q||s&&a!==Q)throw new Error(`Size of X.shape()[axis:] == ${Q}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${B} and bias size of ${a}`);let d=[];for(let M=0;M<i.length;++M)M<C?d.push(i[M]):d.push(1);let c=Dg(Q),p=["type","type"],L=[{type:12,data:r},{type:1,data:Q},{type:12,data:Math.floor(Q/c)},{type:1,data:g.epsilon}];s&&p.push("type");let w=e>1,u=e>2,_=M=>{let F=Hg(A[0].dataType),m=[UA("x",A[0].dataType,A[0].dims,c),UA("scale",t.dataType,t.dims,c)];s&&m.push(UA("bias",s.dataType,s.dims,c)),m.push(ne("output",A[0].dataType,o,c)),w&&m.push(ne("mean_data_output",1,d)),u&&m.push(ne("inv_std_output",1,d));let G=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${M.registerUniforms(G).declareVariables(...m)}
  ${M.mainStart()}
    ${M.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${Tr("f32",c)};
    var mean_square_vector = ${Tr("f32",c)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${Xi(F,c,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${ti("mean_vector",c)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${ti("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 = ${Xi(F,c,"x[j + offset]")};
      let f32scale = ${Xi(F,c,"scale[j]")};
      output[j + offset] = ${m[0].type.value}((f32input ${I?"":"- mean"}) * inv_std_dev * f32scale
        ${s?`+ ${Xi(F,c,"bias[j]")}`:""}
      );
    }

    ${w?"mean_data_output[global_idx] = mean":""};
    ${u?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},y=[{dims:o,dataType:A[0].dataType}];return w&&y.push({dims:d,dataType:1}),u&&y.push({dims:d,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${c};${e};${I}`,inputDependencies:p},getRunData:()=>({outputs:y,dispatchGroup:{x:Math.ceil(r/64)},programUniforms:L}),getShaderSource:_}},e0=(A,g)=>{Zd(A.inputs),A.compute(Xd(A.inputs,g,A.outputCount))}}),Au,g0,ny=jA(()=>{Ge(),ha(),Da(),Au=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.")},g0=A=>{Au(A.inputs);let g=At.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(ua(A.inputs,{activation:""},g));else{let i=g[g.length-2],t=FA.size(A.inputs[0].dims.slice(0,-2)),s=FA.size(A.inputs[1].dims.slice(0,-2));if(t!==1&&i===1&&s===1){let o=A.inputs[0].reshape([1,t,I]),C=A.inputs[1].reshape([1,I,e]),r=[1,t,e],Q=[o,C];A.compute(Cs(Q,{activation:""},g,r),{inputs:Q})}else A.compute(Cs(A.inputs,{activation:""},g))}}}),eu,gu,Iu,I0,i0,Ey=jA(()=>{ye(),Ge(),pg(),Ke(),eu=(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,s=A[1];if(!FA.areEqual(s.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 C=A[3].dims,r=g.bits>4?g.n*i:g.n*Math.floor((i+1)/2);if(FA.size(C)!==r)throw new Error("zeroPoints input size error.")}},gu=(A,g)=>{let e=A[0].dims,I=e.length,i=e[I-2],t=g.k,s=g.n,o=e.slice(0,I-2),C=FA.size(o),r=A[1].dims[2]/4,Q=A[0].dataType,B=Dg(g.k),a=Dg(r),d=Dg(s),c=o.concat([i,s]),p=i>1&&s/d%2===0?2:1,L=FA.size(c)/d/p,w=64,u=[],_=[C,i,t/B],y=FA.convertShape(A[1].dims).slice();y.splice(-1,1,r/a),u.push(...de(_)),u.push(...de(y)),u.push(...de(A[2].dims)),A.length===4&&u.push(...de(FA.convertShape(A[3].dims)));let M=[C,i,s/d];u.push(...de(M));let F=m=>{let G=_.length,T=UA("a",A[0].dataType,G,B),J=UA("b",12,y.length,a),Z=UA("scales",A[2].dataType,A[2].dims.length),z=[T,J,Z],P=A.length===4?UA("zero_points",12,A[3].dims.length):void 0;P&&z.push(P);let tA=M.length,AA=ne("output",A[0].dataType,tA,d),iA=Hg(A[0].dataType),rA=(()=>{switch(B){case 1:return`array<${iA}, 8>`;case 2:return`mat4x2<${iA}>`;case 4:return`mat2x4<${iA}>`;default:throw new Error(`${B}-component is not supported.`)}})(),CA=()=>{let v=`
          // reuse a data
            var input_offset = ${T.indicesToOffset(`${T.type.indices}(batch, row, word_offset)`)};
            var a_data: ${rA};
            for (var j: u32 = 0; j < ${8/B}; j++) {
              a_data[j] = ${T.getByOffset("input_offset")};
              input_offset++;
            }
          `;for(let x=0;x<d*p;x++)v+=`
            b_value = ${a===1?`b${x}_data`:`b${x}_data[i]`};
            b_value_lower = unpack4xU8(b_value & b_mask);
            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
            b_quantized_values = ${rA}(${Array.from({length:4},($,W)=>`${iA}(b_value_lower[${W}]), ${iA}(b_value_upper[${W}])`).join(", ")});
            b_dequantized_values = ${B===1?`${rA}(${Array.from({length:8},($,W)=>`(b_quantized_values[${W}] - ${P?`zero_point${x}`:"zero_point"}) * scale${x}`).join(", ")});`:`(b_quantized_values - ${rA}(${Array(8).fill(`${P?`zero_point${x}`:"zero_point"}`).join(",")})) * scale${x};`};
            workgroup_shared[local_id.x * ${p} + ${Math.floor(x/d)}]${d>1?`[${x%d}]`:""} += ${Array.from({length:8/B},($,W)=>`${B===1?`a_data[${W}] * b_dequantized_values[${W}]`:`dot(a_data[${W}], b_dequantized_values[${W}])`}`).join(" + ")};
          `;return v},cA=()=>{let v=`
            var col_index = col * ${d};
            ${P?`
            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 = ${iA}(8);`}
            `;for(let x=0;x<d*p;x++)v+=`
            let scale${x} = ${Z.getByOffset("col_index * nBlocksPerCol + block")};
            ${P?`
            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 = ${P.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point${x} = ${iA}((zero_point_word) & 0xFu);`:""}
            col_index += 1;`;return v},uA=()=>{let v=`col_index = col * ${d};`;for(let x=0;x<d*p;x++)v+=`
            let b${x}_data = ${J.getByIndices(`${J.type.indices}(col_index, block, word)`)};
            col_index += 1;`;return v+=`
            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: ${rA};
            var b_dequantized_values: ${rA};`,v};return`
        var<workgroup> workgroup_shared: array<${AA.type.value}, ${p*w}>;
        ${m.declareVariables(...z,AA)}
        ${m.mainStart([w,1,1])}
          let output_indices = ${AA.offsetToIndices(`(global_idx / ${w}) * ${p}`)};
          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 += ${w}) {
            //process one block
            var word_offset: u32 = block * ${g.blockSize/B};
            ${cA()}
            for (var word: u32 = 0; word < ${r}; word += ${a}) {
              ${uA()}
              for (var i: u32 = 0; i < ${a}; i++) {
                ${CA()}
                word_offset += ${8/B};
              }
            }
          }
          workgroupBarrier();

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

          // Loop over shared dimension.
          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
            let a_col_start = tile * ${u};
            // load one tile A data into shared memory.
            for (var a_offset = local_idx; a_offset < ${u}; 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 * ${_} + local_id.x;
            ${iA?`
            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 = ${iA.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 = ${tA.getByOffset("b_row * n_blocks_per_col + block")};
            let b_data = ${P.getByIndices(`${P.type.indices}(b_row, block, 0)`)};
            var word_offset = local_id.x * ${g.blockSize/B};
            for (var i: u32 = 0; i < ${a}; i++) {
              ${uA()}
              let b_value = ${a===1?"b_data":"b_data[i]"};
              let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);
              let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);
              let b_quantized_values = mat2x4<${cA}>(${Array.from({length:4},(v,x)=>`${cA}(b_value_lower[${x}]), ${cA}(b_value_upper[${x}])`).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] += ${Array.from({length:2},(v,x)=>`${`dot(a_data${x}, b_dequantized_values[${x}])`}`).join(" + ")};
              word_offset += ${8/B};
            }
            workgroupBarrier();
          }

          if (local_idx < ${p}) {
            var output_value: ${CA.type.value} = ${CA.type.value}(0);
            for (var b = 0u; b < ${L}; b++) {
              output_value += inter_results[local_idx][b];
            }
            if (col + local_idx < uniforms.output_shape[2])
            {
              ${CA.setByIndices(`${CA.type.indices}(batch, row, col + local_idx)`,"output_value")}
            }
          }
        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${g.blockSize};${B};${a};${L};${p}`,inputDependencies:Array(A.length).fill("rank")},getRunData:()=>({outputs:[{dims:d,dataType:Q}],dispatchGroup:{x:y},programUniforms:M}),getShaderSource:T}},I0=(A,g)=>{eu(A.inputs,g),g.blockSize===32&&A.adapterInfo.isVendor("intel")&&A.adapterInfo.isArchitecture("gen-12lp")?A.compute(Iu(A.inputs,g)):A.compute(gu(A.inputs,g))},i0=A=>We(A)}),iu,tu,ou,su,Cu,ru,au,Bu,t0,ly=jA(()=>{ye(),Ge(),Ke(),iu=A=>{if(!A||A.length<1)throw new Error("Too few inputs");if(A[0].dataType!==1&&A[0].dataType!==10)throw new Error("Input type must be float or float16.");if(A.length>=2){let g=A[0].dims.length*2===A[1].dims[0];if(A.length===4&&(g=A[3].dims[0]*2===A[1].dims[0]),!g)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},tu=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
            k = i32(${A.indicesGet("indices",i)}) - ${le("uniforms.pads",i,e)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${le("uniforms.x_shape",i,g)})) {
              break;
            }
            offset += k * i32(${le("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;
            ${I}
            value = x[offset];
          }
      `},ou=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${le("uniforms.pads",i,e)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${le("uniforms.x_shape",i,g)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${le("uniforms.x_shape",i,g)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${le("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},su=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${le("uniforms.pads",i,e)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${le("uniforms.x_shape",i,g)})) {
                  k = i32(${le("uniforms.x_shape",i,g)}) - 1;
                }
                offset += k * i32(${le("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},Cu=(A,g,e)=>{let I="";for(let i=g-1;i>=0;--i)I+=`
                k = i32(${A.indicesGet("indices",i)}) - ${le("uniforms.pads",i,e)};
                if (k < 0)  {
                  k += i32(${le("uniforms.x_shape",i,g)}]);
                }
                if (k >= i32(${le("uniforms.x_shape",i,g)})) {
                  k -= i32(${le("uniforms.x_shape",i,g)});
                }
                offset += k * i32(${le("uniforms.x_strides",i,g)});
            `;return`
              var offset = 0;
              var k = 0;
              ${I}
              value = x[offset];
          `},ru=(A,g,e)=>{switch(e.mode){case 0:return tu(A,g,e.pads.length);case 1:return ou(A,g,e.pads.length);case 2:return su(A,g,e.pads.length);case 3:return Cu(A,g,e.pads.length);default:throw new Error("Invalid mode")}},au=(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}],s=A.length>=3&&A[2].data;g.mode===0&&t.push({type:s?A[2].dataType:1,data:g.value}),t.push(...de(A[0].dims,e));let o=["rank"],C=r=>{let Q=ne("output",A[0].dataType,e.length),B=UA("x",A[0].dataType,I.length),a=B.type.value,d=ru(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:s?a:"f32"}),`
            ${r.registerUniforms(c).declareVariables(B,Q)}
            ${r.mainStart()}
            ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

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

            var value = ${a}(0);
            ${d}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${g.mode}${s}`,inputDependencies:o},getRunData:()=>({outputs:[{dims:e,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(FA.size(e)/64)},programUniforms:t}),getShaderSource:C}},Bu=(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 C=0;C<o.length;C++)t[Number(o[C])]=Number(e[C]),t[Number(o[C])+i]=Number(e[C+o.length])}else e.forEach((o,C)=>t[Number(C)]=Number(o));let s=[];return t.forEach(o=>s.push(o)),{mode:g.mode,value:I,pads:s}}else return g},t0=(A,g)=>{iu(A.inputs);let e=Bu(A.inputs,g);A.compute(au(A.inputs,e),{inputs:[0]})}}),Jt,lr,cr,dr,ur,Qu,nu,hr,Dr,o0,s0,wr,C0,r0,pr,a0,B0,Q0,n0,cy=jA(()=>{JI(),ye(),Ge(),Ke(),Jt=A=>{if(Cg.webgpu.validateInputContent&&(!A||A.length!==1))throw new Error("Pool ops requires 1 input.")},lr=(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"),s=g.kernelShape.slice(),o=g.strides.slice(),C=t?g.dilations.slice():[],r=g.pads.slice();os.adjustPoolAttributes(e,i,s,o,C,r);let Q=os.computePoolOutputShape(e,i,o,C,s,r,g.autoPad),B=Object.assign({},g);t?Object.assign(B,{kernelShape:s,strides:o,pads:r,dilations:C,cacheKey:g.cacheKey}):Object.assign(B,{kernelShape:s,strides:o,pads:r,cacheKey:g.cacheKey});let a=Q.slice();return a.push(a.splice(1,1)[0]),[B,I?a:Q]},cr=(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}],s=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(g.kernelShape.length<=2){let o=g.kernelShape[g.kernelShape.length-1],C=g.strides[g.strides.length-1],r=g.pads[g.pads.length/2-1],Q=g.pads[g.pads.length-1],B=!!(r+Q);t.push({type:12,data:o},{type:12,data:C},{type:12,data:r},{type:12,data:Q}),s.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let a=!1;if(g.kernelShape.length===2){let d=g.kernelShape[g.kernelShape.length-2],c=g.strides[g.strides.length-2],p=g.pads[g.pads.length/2-2],L=g.pads[g.pads.length-2];a=!!(p+L),t.push({type:12,data:d},{type:12,data:c},{type:12,data:p},{type:12,data:L}),s.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[t,s,!0,B,a]}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}),s.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 C=g.pads.reduce((r,Q)=>r+Q);return[t,s,!!C,!1,!1]}},dr=(A,g,e,I,i,t,s,o,C,r,Q,B)=>{let a=i.format==="NHWC",d=g.type.value,c=ne("output",g.type.tensor,I);if(i.kernelShape.length<=2){let p="",L="",w="",u=e-(a?2:1);if(Q?p=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${u}] = indices[${u}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${u}] < 0 || xIndices[${u}]
                      >= uniforms.x_shape[${u}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${g.indicesToOffset("xIndices")}];
                  ${t}
                }`:p=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${u}] = indices[${u}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${g.indicesToOffset("xIndices")}];
                  ${t}
                }`,i.kernelShape.length===2){let _=e-(a?3:2);B?L=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${_}] = indices[${_}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${_}] < 0 || xIndices[${_}] >= uniforms.x_shape[${_}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:L=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${_}] = indices[${_}] * uniforms.sh - uniforms.phStart + j;
                `,w=`
              }
            `}return`
            ${A.registerUniforms(C).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;
              ${L}
              ${p}
              ${w}
              ${s}

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

              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 < ${p-1}u; j++) {
                  offsets[j] = offset / ${le("uniforms.kernelStrides","j",p)};
                  offset -= offsets[j] * ${le("uniforms.kernelStrides","j",p)};
                }
                offsets[${p-1}] = offset;

                isPad = false;
                for (var j = ${e-p}u; j < ${e}u; j++) {
                  xIndices[j] = indices[j] * ${le("uniforms.strides",`j - ${e-p}u`,p)}
                    + offsets[j - ${e-p}u] - ${le("uniforms.pads","j - 2u",L)};
                  ${w}
              }
              ${s}

              output[global_idx] = value;
            }`}},ur=A=>`${A.format};${A.ceilMode};${A.autoPad};${A.kernelShape.length}`,Qu=A=>`${ur(A)};${A.countIncludePad}`,nu=A=>`${ur(A)};${A.storageOrder};${A.dilations}`,hr=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}),Dr=(A,g,e,I)=>{let[i,t]=lr(g,I,e),s=UA("x",g.dataType,g.dims.length),o=s.type.value,C="value += x_val;",r="";i.countIncludePad?r+=`value /= ${o}(uniforms.kernelSize);`:r+=`value /= ${o}(i32(uniforms.kernelSize) - pad);`;let[Q,B,a,d,c]=cr(t,i);Q.push(...de(g.dims,t));let p=["rank"];return{name:A,shaderCache:{hint:`${I.cacheKey};${a};${d};${c}`,inputDependencies:p},getRunData:()=>({outputs:[{dims:t,dataType:g.dataType}],dispatchGroup:{x:Math.ceil(FA.size(t)/64)},programUniforms:Q}),getShaderSource:L=>dr(L,s,g.dims.length,t.length,i,C,r,0,B,a,d,c)}},o0=A=>{let g=A.count_include_pad!==0,e=hr(A);if(e.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let I={countIncludePad:g,...e,cacheKey:""};return{...I,cacheKey:Qu(I)}},s0=(A,g)=>{Jt(A.inputs),A.compute(Dr("AveragePool",A.inputs[0],!1,g))},wr={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},C0=A=>{let g=A.format;return{format:g,...wr,cacheKey:g}},r0=(A,g)=>{Jt(A.inputs),A.compute(Dr("GlobalAveragePool",A.inputs[0],!0,g))},pr=(A,g,e,I)=>{let[i,t]=lr(g,I,e),s=`
      value = max(x_val, value);
    `,o="",C=UA("x",g.dataType,g.dims.length),r=["rank"],[Q,B,a,d,c]=cr(t,i);return Q.push(...de(g.dims,t)),{name:A,shaderCache:{hint:`${I.cacheKey};${a};${d};${c}`,inputDependencies:r},getRunData:()=>({outputs:[{dims:t,dataType:g.dataType}],dispatchGroup:{x:Math.ceil(FA.size(t)/64)},programUniforms:Q}),getShaderSource:p=>dr(p,C,g.dims.length,t.length,i,s,o,g.dataType===10?-65504:-1e5,B,a,d,c)}},a0=(A,g)=>{Jt(A.inputs),A.compute(pr("MaxPool",A.inputs[0],!1,g))},B0=A=>{let g=A.storage_order,e=A.dilations,I=hr(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:nu(i)}},Q0=A=>{let g=A.format;return{format:g,...wr,cacheKey:g}},n0=(A,g)=>{Jt(A.inputs),A.compute(pr("GlobalMaxPool",A.inputs[0],!0,g))}}),Eu,lu,E0,l0,dy=jA(()=>{ye(),Ge(),pg(),Ke(),Eu=(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)].")}},lu=(A,g)=>{let e=FA.normalizeAxis(g.axis,A[0].dims.length),I=A[0].dataType,i=I===3,t=A[0].dims,s=A[1].dataType,o=FA.size(t),C=I===3||I===2,r=C?[Math.ceil(FA.size(A[0].dims)/4)]:A[0].dims,Q=A[1].dims,B=A.length>2?A[2]:void 0,a=B?C?[Math.ceil(FA.size(B.dims)/4)]:B.dims:void 0,d=Q.length===0||Q.length===1&&Q[0]===1,c=d===!1&&Q.length===1,p=Dg(o),L=d&&(!C||p===4),w=L?p:1,u=L&&!C?p:1,_=UA("input",C?12:I,r.length,u),y=UA("scale",s,Q.length),M=B?UA("zero_point",C?12:I,a.length):void 0,F=ne("output",s,t.length,w),m=[_,y];M&&m.push(M);let G=[r,Q];B&&G.push(a);let T=[{type:12,data:o/w},{type:12,data:e},{type:12,data:g.blockSize},...de(...G,t)],J=Z=>{let z=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
      ${Z.registerUniforms(z).declareVariables(...m,F)}
      ${Z.mainStart()}
          ${Z.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let output_indices = ${F.offsetToIndices("global_idx")};

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

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

          // Set zero-point input
          ${M?d?C?`
                let zero_point_input = ${M.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 = ${M.getByOffset("0")}`:c?C?`
                let zero_point_index = ${F.indicesGet("output_indices","uniforms.axis")};
                let zero_point_input = ${M.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 = ${F.indicesGet("output_indices","uniforms.axis")};
                let zero_point_value = ${M.getByOffset("zero_point_index")};`:C?`
                let zero_point_offset = ${y.indicesToOffset("scale_indices")};
                let zero_point_input = ${M.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 = ${M.getByIndices("scale_indices")};`:`let zero_point_value = ${C?i?"i32":"u32":_.type.value}(0);`};
      // Compute and write output
      ${F.setByOffset("global_idx",`${F.type.value}(x_value - zero_point_value) * scale_value`)};
      }`};return{name:"DequantizeLinear",shaderCache:{hint:g.cacheKey,inputDependencies:M?["rank","rank","rank"]:["rank","rank"]},getShaderSource:J,getRunData:()=>({outputs:[{dims:t,dataType:s}],dispatchGroup:{x:Math.ceil(o/w/64),y:1,z:1},programUniforms:T})}},E0=(A,g)=>{Eu(A.inputs,g),A.compute(lu(A.inputs,g))},l0=A=>We({axis:A.axis,blockSize:A.blockSize})}),cu,du,c0,uy=jA(()=>{JI(),ye(),Ke(),cu=(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.")},du=(A,g,e,I)=>{let i=Math.abs(Math.ceil((g-A)/e)),t=[i],s=i,o=[{type:12,data:s},{type:I,data:A},{type:I,data:e},...de(t)],C=r=>{let Q=ne("output",I,t.length),B=Q.type.value,a=[{name:"outputSize",type:"u32"},{name:"start",type:B},{name:"delta",type:B}];return`
        ${r.registerUniforms(a).declareVariables(Q)}
        ${r.mainStart()}
        ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${B}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${I}`},getShaderSource:C,getRunData:()=>({outputs:[{dims:t,dataType:I}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:o})}},c0=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]),Cg.webgpu.validateInputContent&&cu(g,e,I),A.compute(du(g,e,I,A.inputs[0].dataType),{inputs:[]})}}),uu,fr,yr,hu,d0,u0,hy=jA(()=>{ye(),Ge(),pg(),Ke(),uu=(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 ${A} is not supported.`)}},fr=(A,g)=>`${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));`,yr=(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];
        ${uu(A.reduction,"output[data_offset + i]","value",g)}
      }`,hu=(A,g)=>{let e=A[0].dims,I=A[1].dims,i=e,t=1,s=Math.ceil(FA.size(I)/t),o=I[I.length-1],C=FA.sizeFromDimension(e,o),r=FA.sizeFromDimension(I,0)/o,Q=[{type:12,data:s},{type:12,data:o},{type:12,data:C},...de(A[1].dims,A[2].dims,i)],B=a=>{let d=UA("indices",A[1].dataType,A[1].dims.length),c=UA("updates",A[2].dataType,A[2].dims.length,t),p=g.reduction!=="none"&&g.reduction!==""?Oh("output",A[0].dataType,i.length):ne("output",A[0].dataType,i.length,t);return`
      ${a.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(d,c,p)}
      ${a.mainStart()}
        ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
  var hasDuplicates = false;
  if (${g.reduction==="none"}) {
    for (var i = 0; i < ${r}; i = i + 1) {
      for (var j = i + 1; j < ${r}; 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 < ${r}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);
        ${fr(e.length,!1)}
      }
      ${yr(g,p.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);
    ${fr(e.length,!0)}
  }
  ${yr(g,p.type.value,!0)}
  }`};return{name:"ScatterND",shaderCache:{hint:`${g.cacheKey}_${g.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:A[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:Q}),getShaderSource:B}},d0=A=>We({reduction:A.reduction}),u0=(A,g)=>{A.compute(hu(A.inputs,g),{inputs:[A.inputs[1],A.inputs[2]],outputs:[]})}}),Du,wu,pu,mr,fu,yu,mu,Mu,Fu,Su,Nu,_u,Mr,Ru,Gu,ku,Lu,Ku,h0,D0,Dy=jA(()=>{ye(),Ge(),pg(),Ke(),Du=(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")}},wu=(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},pu=(A,g,e,I,i,t)=>{let[s,o,C]=e>10?[1,2,3]:[-1,A.length>1?1:-1,-1],r=A[0].dims.length;if(s>0&&A.length>s&&A[s].dims.length>0)A[s].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!==r&&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");Du(I,g),g.axes.length>0&&wu(I,g.axes,r).forEach((Q,B)=>I[B]=Q)}if(C>0&&A.length>C&&A[C].dims.length===1&&A[C].dims[0]>0&&(A[C].getBigInt64Array().forEach(Q=>i.push(Number(Q))),i.length!==0&&i.length!==r&&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>r)throw new Error("Resize requires only of scales or sizes to be specified")},mr=(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;
`,fu=(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 {
            ${mr("xResized","lengthOriginal","lengthResized",g)}
          }
        `;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${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 {
                    ${mr("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`)}})()+"}",yu=(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`)}})()+"}",mu=(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,s)=>{I[t]=i[s],I[s+e]=i[g.length+s]}),I):i},Mu=(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,s)=>i[t]=e[s])}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,s)=>Math.round(t*g[s]))}return i},Fu=(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,s)=>i[s]=Math.round(t*g[s]))),i},Su=(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 = ${le("uniforms.scales","i",I)};
        var roi_low = ${le("uniforms.roi","i",i)};
        var roi_hi = ${le("uniforms.roi",`i + ${g.length}`,i)};
        if (scale == 1.0) {
          original_indices[i] = ${A.type.value}(output_index);
        } else {
          var input_shape_i = ${le("uniforms.input_shape","i",g.length)};
          var output_shape_i = ${le("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;
    }`,Nu=(A,g,e,I,i,t,s)=>`
    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 = ${le("uniforms.scales","i",i)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${le("uniforms.roi","i",t)};
          var roi_hi = ${le("uniforms.roi",`i + ${e.length}`,t)};
          var input_shape_i = ${le("uniforms.input_shape","i",e.length)};
          var output_shape_i = ${le("uniforms.output_shape","i",I.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${s} || (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;
    }`,_u=(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 >= ${le("uniforms.input_shape","i",g.length)}) {
          return false;
        }
      }
      return true;
    }`,Mr=(A,g,e,I)=>A.rank>I?`
    ${A.indicesSet("input_indices",g,"channel")};
    ${A.indicesSet("input_indices",e,"batch")};
`:"",Ru=(A,g,e,I,i)=>{let[t,s,o,C]=e.length===2?[-1,0,1,-1]:[0,2,3,1],r=A.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${r} {
      var input_indices: ${A.type.indices};
      ${A.indicesSet("input_indices",s,`max(0, min(row, ${e[s]} - 1))`)};
      ${A.indicesSet("input_indices",o,`max(0, min(col, ${e[o]} - 1))`)};
      ${Mr(A,C,t,2)}
      return ${A.getByIndices("input_indices")};
    }

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

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

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

    depth = max(0, min(depth, ${e[s]} - 1));
      height = max(0, min(height, ${e[o]} - 1));
      width = max(0, min(width, ${e[C]} - 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 = ${e.length>3?`u32(originalIndices[${r}])`:"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);
    }`},Lu=(A,g,e,I,i,t)=>{let s=A.dims,o=mu(t,g.axes,s.length),C=Mu(s,I,i,g.axes),r=I.slice();I.length===0&&(r=s.map((u,_)=>u===0?1:C[_]/u),g.keepAspectRatioPolicy!=="stretch"&&(C=Fu(s,r,g)));let Q=ne("output",A.dataType,C.length),B=UA("input",A.dataType,s.length),a=FA.size(C),d=s.length===C.length&&s.every((u,_)=>u===C[_]),c=g.coordinateTransformMode==="tf_crop_and_resize",p=g.extrapolationValue,L=B.type.value,w=u=>`
      ${d?"":`
      ${fu(g.coordinateTransformMode,L)};
      ${(()=>{switch(g.mode){case"nearest":return`
              ${_u(B,s)};
              ${yu(g.nearestMode,e,L)};
              ${Nu(B,Q,s,C,r.length,o.length,c)};
              `;case"linear":return`
              ${Su(Q,s,C,r.length,o.length)};
              ${(()=>{if(s.length===2||s.length===4)return`${Ru(B,Q,s,c,p)}`;if(s.length===3||s.length===5)return`${ku(B,Q,s,c,p)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(s.length===2||s.length===4)return`${Gu(B,Q,s,C,r,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")}})()};
      `}
      ${u.registerUniform("output_size","u32").registerUniform("scales","f32",r.length).registerUniform("roi","f32",o.length).declareVariables(B,Q)}
      ${u.mainStart()}
        ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${d?"output[global_idx] = input[global_idx];":`
        let output_indices = ${Q.offsetToIndices("global_idx")};
        var input_indices: ${B.type.indices};
        ${(()=>{switch(g.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${B.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${g.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${s.length===2||s.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}|${e}|${r.length>0?g.mode==="cubic"?r:r.length:""}|${i.length>0?i:""}|${o.length>0?o:""}|${d}|${g.mode==="nearest"?s.length:s}`,inputDependencies:["rank"]},getShaderSource:w,getRunData:()=>({outputs:[{dims:C,dataType:A.dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:[{type:12,data:a},{type:1,data:r},{type:1,data:o},...de(s,C)]})}},Ku=A=>{let g=A.customDataBuffer;return new Uint32Array(g,g.byteOffset,1)[0]},h0=(A,g)=>{let e=[],I=[],i=[],t=Ku(A);if(g.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");pu(A.inputs,g,t,e,I,i),A.compute(Lu(A.inputs[0],g,t,e,I,i),{inputs:[0]})},D0=A=>{let g=A.antialias,e=A.axes,I=A.coordinateTransformMode,i=A.cubicCoeffA,t=A.excludeOutside!==0,s=A.extrapolationValue,o=A.keepAspectRatioPolicy,C=A.mode,r=A.nearestMode===""?"simple":A.nearestMode;return We({antialias:g,axes:e,coordinateTransformMode:I,cubicCoeffA:i,excludeOutside:t,extrapolationValue:s,keepAspectRatioPolicy:o,mode:C,nearestMode:r})}}),Uu,bu,w0,wy=jA(()=>{ye(),Ge(),Ke(),Uu=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 s=A[3];if(s.dims.length!==1)throw new Error("Beta must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(A.length>4){let s=A[4];if(s.dims.length!==1)throw new Error("Bias must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},bu=(A,g,e,I)=>{let i=g.simplified,t=A[0].dims,s=FA.size(t),o=t,C=s,r=t.slice(-1)[0],Q=I?t.slice(0,-1).concat(1):[],B=!i&&A.length>3,a=A.length>4,d=I&&e>1,c=I&&e>2,p=e>3,L=64,w=Dg(r),u=[{type:12,data:C},{type:12,data:w},{type:12,data:r},{type:1,data:g.epsilon}],_=M=>{let F=[{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,w),UA("skip",A[1].dataType,A[1].dims,w),UA("gamma",A[2].dataType,A[2].dims,w)];B&&m.push(UA("beta",A[3].dataType,A[3].dims,w)),a&&m.push(UA("bias",A[4].dataType,A[4].dims,w)),m.push(ne("output",A[0].dataType,o,w)),d&&m.push(ne("mean_output",1,Q)),c&&m.push(ne("inv_std_output",1,Q)),p&&m.push(ne("input_skip_bias_sum",A[0].dataType,o,w));let G=Hg(A[0].dataType),T=Hg(1,w);return`

      ${M.registerUniforms(F).declareVariables(...m)}
      var<workgroup> sum_shared : array<${T}, ${L}>;
      var<workgroup> sum_squared_shared : array<${T}, ${L}>;

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

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

        var reduce_size : u32 = ${L};
        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 = ${ti("sum",w)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${ti("square_sum",w)} / 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?"":`- ${G}(mean)`}) *
            ${G}(inv_std_dev) * gamma[offset1d + i]
            ${B?"+ beta[offset1d + i]":""};
        }
      }`},y=[{dims:o,dataType:A[0].dataType}];return e>1&&y.push({dims:Q,dataType:1}),e>2&&y.push({dims:Q,dataType:1}),e>3&&y.push({dims:t,dataType:A[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${w};${d};${c};${p}`,inputDependencies:A.map((M,F)=>"type")},getShaderSource:_,getRunData:()=>({outputs:y,dispatchGroup:{x:Math.ceil(C/r)},programUniforms:u})}},w0=(A,g)=>{Uu(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(bu(A.inputs,g,A.outputCount,!1),{outputs:e})}}),Ju,xt,xu,Fr,Tu,Yu,p0,f0,py=jA(()=>{ye(),Ge(),pg(),Ke(),Ju=(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`)})},xt=(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},xu=(A,g)=>{if(A.length>1){let e=xt(A,1),I=xt(A,2),i=xt(A,3);return i.length===0&&(i=[...Array(A[0].dims.length).keys()]),We({starts:e,ends:I,axes:i})}else return g},Fr=(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]]))},Tu=(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 = ${le("uniforms.input_shape","i",e.length)};
            let steps_i = ${le("uniforms.steps","i",e.length)};
            let signs_i = ${le("uniforms.signs","i",e.length)};
            let starts_i = ${le("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;
      }`,Yu=(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=xt(A,4);t.forEach(w=>w!==0||(()=>{throw new Error("step cannot be 0")})),t.length===0&&(t=Array(i.length).fill(1));let s=g.starts.map((w,u)=>Fr(w,u,e,i,t)),o=g.ends.map((w,u)=>Fr(w,u,e,i,t));if(i.length!==s.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 w=0;w<e.length;++w)i.includes(w)||(s.splice(w,0,0),o.splice(w,0,e[w]),t.splice(w,0,1));let C=t.map(w=>Math.sign(w));t.forEach((w,u,_)=>{if(w<0){let y=(o[u]-s[u])/w,M=s[u],F=M+y*t[u];s[u]=F,o[u]=M,_[u]=-w}});let r=e.slice(0);i.forEach((w,u)=>{r[w]=Math.ceil((o[w]-s[w])/t[w])});let Q={dims:r,dataType:A[0].dataType},B=ne("output",A[0].dataType,r.length),a=UA("input",A[0].dataType,A[0].dims.length),d=FA.size(r),c=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:s.length},{name:"signs",type:"i32",length:C.length},{name:"steps",type:"u32",length:t.length}],p=[{type:12,data:d},{type:12,data:s},{type:6,data:C},{type:12,data:t},...de(A[0].dims,r)],L=w=>`
      ${w.registerUniforms(c).declareVariables(a,B)}
        ${Tu(a,B,e)}
        ${w.mainStart()}
          ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${B.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${B.setByOffset("global_idx",a.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${C.length}_${s.length}_${t.length}`,inputDependencies:["rank"]},getShaderSource:L,getRunData:()=>({outputs:[Q],dispatchGroup:{x:Math.ceil(I/64)},programUniforms:p})}},p0=(A,g)=>{Ju(A.inputs,g);let e=xu(A.inputs,g);A.compute(Yu(A.inputs,e),{inputs:[0]})},f0=A=>{let g=A.starts,e=A.ends,I=A.axes;return We({starts:g,ends:e,axes:I})}}),Pu,vu,y0,m0,fy=jA(()=>{ye(),Ge(),pg(),oi(),Ke(),Pu=A=>{if(!A||A.length!==1)throw new Error("Softmax op requires 1 input.")},vu=(A,g)=>{let e=A.inputs[0],I=e.dims,i=FA.size(I),t=I.length,s=FA.normalizeAxis(g.axis,t),o=s<I.length-1,C,r=[];o?(r=Array.from({length:t},(m,G)=>G),r[s]=t-1,r[t-1]=s,C=A.compute(nI(e,r),{inputs:[e],outputs:[-1]})[0]):C=e;let Q=C.dims,B=Q[t-1],a=i/B,d=Dg(B),c=B/d,p=64;a===1&&(p=256);let L=(m,G)=>G===4?`max(max(${m}.x, ${m}.y), max(${m}.z, ${m}.w))`:G===2?`max(${m}.x, ${m}.y)`:G===3?`max(max(${m}.x, ${m}.y), ${m}.z)`:m,w=UA("x",C.dataType,C.dims,d),u=ne("result",C.dataType,C.dims,d),_=w.type.value,y=Hg(C.dataType)==="f32"?`var threadMax = ${_}(-3.402823e+38f);`:`var threadMax = ${_}(-65504.0h);`,M=m=>`
      var<workgroup> rowMaxShared : ${_};
      var<workgroup> rowSumShared : ${_};
      var<workgroup> threadShared : array<${_}, ${p}>;

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

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

        // find the rows max
        ${y}
        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 = ${_}(${L("threadShared[0]",d)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${_}(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 = ${_}(${ti("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);
        }
      }`,F=A.compute({name:"Softmax",shaderCache:{hint:`${d};${p}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:Q,dataType:C.dataType}],dispatchGroup:{x:a},programUniforms:[{type:6,data:c}]}),getShaderSource:M},{inputs:[C],outputs:[o?-1:0]})[0];o&&A.compute(nI(F,r),{inputs:[F]})},y0=(A,g)=>{Pu(A.inputs),vu(A,g)},m0=A=>We({axis:A.axis})}),Sr,Hu,qu,Ou,M0,yy=jA(()=>{ye(),Ge(),Ke(),Sr=A=>Array.from(A.getBigInt64Array(),Number),Hu=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(Sr(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")},qu=(A,g)=>{let e=[];for(let I=0;I<A.length;++I)e.push(A[I]*g[I]);return e},Ou=(A,g)=>{let e=A[0].dims,I=g??Sr(A[1]),i=qu(e,I),t=FA.size(i),s=A[0].dataType,o=UA("input",s,e.length),C=ne("output",s,i.length),r=Q=>`
      const inputShape = ${o.indices(...e)};
      ${Q.registerUniform("output_size","u32").declareVariables(o,C)}
      ${Q.mainStart()}
      ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${C.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 = ${C.indicesGet("output_indices","i")}  % input_dim_i;

        ${o.indicesSet("input_indices","i","input_dim_value")}
      }
      ${C.setByOffset("global_idx",o.getByIndices("input_indices"))}
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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."),T=new Set);const Z=M.class_queries_logits??M.logits,P=(M.masks_queries_logits??M.pred_masks).sigmoid();let[tA,AA,iA]=Z.dims;if(iA-=1,J!==null&&J.length!==tA)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let rA=[];for(let CA=0;CA<tA;++CA){let cA=J!==null?J[CA]:null,uA=Z[CA],v=P[CA],[x,$,W]=c(uA,v,F,iA);if(W.length===0){let[RA,vA]=cA??v.dims.slice(-2),ie=new i.Tensor("int32",new Int32Array(RA*vA).fill(-1),[RA,vA]);rA.push({segmentation:ie,segments_info:[]});continue}let[nA,xA]=L(x,$,W,m,G,T,cA);rA.push({segmentation:nA,segments_info:xA})}return rA}function _(M,F=.5,m=null){throw new Error("`post_process_instance_segmentation` is not yet implemented.")}class y extends I.Callable{constructor(F){super(),this.image_mean=F.image_mean??F.mean,this.image_std=F.image_std??F.std,this.resample=F.resample??2,this.do_rescale=F.do_rescale??!0,this.rescale_factor=F.rescale_factor??1/255,this.do_normalize=F.do_normalize,this.do_thumbnail=F.do_thumbnail,this.size=F.size??F.image_size,this.do_resize=F.do_resize??this.size!==void 0,this.size_divisibility=F.size_divisibility??F.size_divisor,this.do_center_crop=F.do_center_crop,this.crop_size=F.crop_size,this.do_convert_rgb=F.do_convert_rgb??!0,this.do_crop_margin=F.do_crop_margin,this.pad_size=F.pad_size,this.do_pad=F.do_pad,this.min_pixels=F.min_pixels,this.max_pixels=F.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=F.do_flip_channel_order??!1,this.config=F}async thumbnail(F,m,G=2){const T=F.height,J=F.width,Z=m.height,z=m.width;let P=Math.min(T,Z),tA=Math.min(J,z);return P===T&&tA===J?F:(T>J?tA=Math.floor(J*P/T):J>T&&(P=Math.floor(T*tA/J)),await F.resize(tA,P,{resample:G}))}async crop_margin(F,m=200){const G=F.clone().grayscale(),T=(0,t.min)(G.data)[0],Z=(0,t.max)(G.data)[0]-T;if(Z===0)return F;const z=m/255;let P=G.width,tA=G.height,AA=0,iA=0;const rA=G.data;for(let CA=0;CA<G.height;++CA){const cA=CA*G.width;for(let uA=0;uA<G.width;++uA)(rA[cA+uA]-T)/Z<z&&(P=Math.min(P,uA),tA=Math.min(tA,CA),AA=Math.max(AA,uA),iA=Math.max(iA,CA))}return F=await F.crop([P,tA,AA,iA]),F}pad_image(F,m,G,{mode:T="constant",center:J=!1,constant_values:Z=0}={}){const[z,P,tA]=m;let AA,iA;if(typeof G=="number"?(AA=G,iA=G):G==="square"?AA=iA=Math.max(z,P):(AA=G.width,iA=G.height),AA!==P||iA!==z){const rA=new Float32Array(AA*iA*tA);if(Array.isArray(Z))for(let uA=0;uA<rA.length;++uA)rA[uA]=Z[uA%tA];else Z!==0&&rA.fill(Z);const[CA,cA]=J?[Math.floor((AA-P)/2),Math.floor((iA-z)/2)]:[0,0];for(let uA=0;uA<z;++uA){const v=(uA+cA)*AA,x=uA*P;for(let $=0;$<P;++$){const W=(v+$+CA)*tA,nA=(x+$)*tA;for(let xA=0;xA<tA;++xA)rA[W+xA]=F[nA+xA]}}if(T==="symmetric"){if(J)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const uA=z-1,v=P-1;for(let x=0;x<iA;++x){const $=x*AA,W=(0,s.calculateReflectOffset)(x,uA)*P;for(let nA=0;nA<AA;++nA){if(x<z&&nA<P)continue;const xA=($+nA)*tA,RA=(W+(0,s.calculateReflectOffset)(nA,v))*tA;for(let vA=0;vA<tA;++vA)rA[xA+vA]=F[RA+vA]}}}F=rA,m=[iA,AA,tA]}return[F,m]}rescale(F){for(let m=0;m<F.length;++m)F[m]=this.rescale_factor*F[m]}get_resize_output_image_size(F,m){const[G,T]=F.size;let J,Z;if(this.do_thumbnail){const{height:z,width:P}=m;J=Math.min(z,P)}else Number.isInteger(m)?(J=m,Z=this.config.max_size??J):m!==void 0&&(J=m.shortest_edge,Z=m.longest_edge);if(J!==void 0||Z!==void 0){const z=J===void 0?1:Math.max(J/G,J/T),P=G*z,tA=T*z,AA=Z===void 0?1:Math.min(Z/P,Z/tA);let iA=Math.floor(Number((P*AA).toFixed(2))),rA=Math.floor(Number((tA*AA).toFixed(2)));return this.size_divisibility!==void 0&&([iA,rA]=Q([iA,rA],this.size_divisibility)),[iA,rA]}else if(m!==void 0&&m.width!==void 0&&m.height!==void 0){let z=m.width,P=m.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let tA=P/T,AA=z/G;Math.abs(1-AA)<Math.abs(1-tA)?tA=AA:AA=tA,P=r(tA*T,this.config.ensure_multiple_of),z=r(AA*G,this.config.ensure_multiple_of)}return[z,P]}else{if(this.size_divisibility!==void 0)return Q([G,T],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 w(T,G,z,this.min_pixels,this.max_pixels)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(m)}`)}}async resize(F){const[m,G]=this.get_resize_output_image_size(F,this.size);return await F.resize(m,G,{resample:this.resample})}async preprocess(F,{do_normalize:m=null,do_pad:G=null,do_convert_rgb:T=null,do_convert_grayscale:J=null,do_flip_channel_order:Z=null}={}){this.do_crop_margin&&(F=await this.crop_margin(F));const[z,P]=F.size;if(T??this.do_convert_rgb?F=F.rgb():J&&(F=F.grayscale()),this.do_resize&&(F=await this.resize(F)),this.do_thumbnail&&(F=await this.thumbnail(F,this.size,this.resample)),this.do_center_crop){let CA,cA;Number.isInteger(this.crop_size)?(CA=this.crop_size,cA=this.crop_size):(CA=this.crop_size.width,cA=this.crop_size.height),F=await F.center_crop(CA,cA)}const tA=[F.height,F.width];let AA=Float32Array.from(F.data),iA=[F.height,F.width,F.channels];if(this.do_rescale&&this.rescale(AA),m??this.do_normalize){let CA=this.image_mean;Array.isArray(this.image_mean)||(CA=new Array(F.channels).fill(CA));let cA=this.image_std;if(Array.isArray(this.image_std)||(cA=new Array(F.channels).fill(CA)),CA.length!==F.channels||cA.length!==F.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${CA.length}) and \`image_std\` (${cA.length}) must match the number of channels in the image (${F.channels}).`);for(let uA=0;uA<AA.length;uA+=F.channels)for(let v=0;v<F.channels;++v)AA[uA+v]=(AA[uA+v]-CA[v])/cA[v]}if(G??this.do_pad){if(this.pad_size)[AA,iA]=this.pad_image(AA,[F.height,F.width,F.channels],this.pad_size);else if(this.size_divisibility){const[CA,cA]=Q([iA[1],iA[0]],this.size_divisibility);[AA,iA]=this.pad_image(AA,iA,{width:CA,height:cA})}}if(Z??this.do_flip_channel_order){if(iA[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let CA=0;CA<AA.length;CA+=3){const cA=AA[CA];AA[CA]=AA[CA+2],AA[CA+2]=cA}}const rA=new i.Tensor("float32",AA,iA).permute(2,0,1);return{original_size:[P,z],reshaped_input_size:tA,pixel_values:rA}}async _call(F,...m){Array.isArray(F)||(F=[F]);const G=await Promise.all(F.map(J=>this.preprocess(J)));return{pixel_values:(0,i.stack)(G.map(J=>J.pixel_values),0),original_sizes:G.map(J=>J.original_size),reshaped_input_sizes:G.map(J=>J.reshaped_input_size)}}static async from_pretrained(F,m={}){const G=await(0,o.getModelJSON)(F,C.IMAGE_PROCESSOR_NAME,!0,m);return new this(G)}}}),"./src/base/processing_utils.js":((A,g,e)=>{e.r(g),e.d(g,{Processor:()=>s});var I=e("./src/utils/constants.js"),i=e("./src/utils/generic.js"),t=e("./src/utils/hub.js");class s 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(C,r,Q){super(),this.config=C,this.components=r,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(C,r={}){if(!this.tokenizer)throw new Error("Unable to apply chat template without a tokenizer.");return this.tokenizer.apply_chat_template(C,{tokenize:!1,chat_template:this.chat_template??void 0,...r})}batch_decode(...C){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.batch_decode(...C)}decode(...C){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.decode(...C)}async _call(C,...r){for(const Q of[this.image_processor,this.feature_extractor,this.tokenizer])if(Q)return Q(C,...r);throw new Error("No image processor, feature extractor, or tokenizer found.")}static async from_pretrained(C,r={}){const[Q,B,a]=await Promise.all([this.uses_processor_config?(0,t.getModelJSON)(C,I.PROCESSOR_NAME,!0,r):{},Promise.all(this.classes.filter(d=>d in this).map(async d=>{const c=await this[d].from_pretrained(C,r);return[d.replace(/_class$/,""),c]})).then(Object.fromEntries),this.uses_chat_template_file?(0,t.getModelText)(C,I.CHAT_TEMPLATE_NAME,!0,r):null]);return new 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I=e("./src/utils/generic.js");e("./src/utils/tensor.js");var i=e("./src/utils/maths.js");class t extends I.Callable{_call(F,m){throw Error("`_call` should be implemented in a subclass")}}class s extends I.Callable{_call(F,m){throw Error("`_call` should be implemented in a subclass")}}class o extends I.Callable{constructor(){super(),this.processors=[]}push(F){this.processors.push(F)}extend(F){this.processors.push(...F)}_call(F,m){let G=m;for(const T of this.processors)G=T(F,G);return G}[Symbol.iterator](){return this.processors.values()}}class C extends t{constructor(F){super(),this.bos_token_id=F}_call(F,m){for(let G=0;G<F.length;++G)if(F[G].length===1){const T=m[G].data;T.fill(-1/0),T[this.bos_token_id]=0}return m}}class r extends t{constructor(F,m){super(),this.max_length=F,this.eos_token_id=Array.isArray(m)?m:[m]}_call(F,m){for(let G=0;G<F.length;++G)if(F[G].length===this.max_length-1){const T=m[G].data;T.fill(-1/0);for(const J of this.eos_token_id)T[J]=0}return m}}class Q extends t{constructor(F,m){super(),this.begin_suppress_tokens=F,this.begin_index=m}_call(F,m){for(let G=0;G<F.length;++G)if(F[G].length===this.begin_index){const T=m[G].data;for(const J of this.begin_suppress_tokens)T[J]=-1/0}return m}}class B extends t{constructor(F,m){super(),this.eos_token_id=Array.isArray(F.eos_token_id)?F.eos_token_id[0]:F.eos_token_id,this.no_timestamps_token_id=F.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=F.max_initial_timestamp_index}_call(F,m){for(let G=0;G<F.length;++G){const T=m[G].data;if(T[this.no_timestamps_token_id]=-1/0,F[G].length===this.begin_index-1){T.fill(-1/0),T[this.timestamp_begin]=0;continue}const J=F[G].slice(this.begin_index),Z=J.length>=1&&J[J.length-1]>=this.timestamp_begin,z=J.length<2||J[J.length-2]>=this.timestamp_begin;if(Z&&(z?T.subarray(this.timestamp_begin).fill(-1/0):T.subarray(0,this.eos_token_id).fill(-1/0)),F[G].length===this.begin_index&&this.max_initial_timestamp_index!==null){const iA=this.timestamp_begin+this.max_initial_timestamp_index;T.subarray(iA+1).fill(-1/0)}const P=(0,i.log_softmax)(T),tA=Math.log(P.subarray(this.timestamp_begin).map(Math.exp).reduce((iA,rA)=>iA+rA)),AA=(0,i.max)(P.subarray(0,this.timestamp_begin))[0];tA>AA&&T.subarray(0,this.timestamp_begin).fill(-1/0)}return m}}class a extends t{constructor(F){super(),this.no_repeat_ngram_size=F}getNgrams(F){const m=F.length,G=[];for(let J=0;J<m+1-this.no_repeat_ngram_size;++J){const Z=[];for(let z=0;z<this.no_repeat_ngram_size;++z)Z.push(F[J+z]);G.push(Z.map(Number))}const T=new Map;for(const J of G){const 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t{constructor(F,m,G){super(),this.prompt_length_to_skip=F,this.min_new_tokens=m,this.eos_token_id=Array.isArray(G)?G:[G]}_call(F,m){for(let G=0;G<F.length;++G)if(F[G].length-this.prompt_length_to_skip<this.min_new_tokens){const J=m[G].data;for(const Z of this.eos_token_id)J[Z]=-1/0}return m}}class L extends t{constructor(F,m){super(),this.bad_words_ids=F,this.eos_token_id=Array.isArray(m)?m:[m]}_call(F,m){for(let G=0;G<F.length;++G){const T=m[G].data,J=F[G];for(const Z of this.bad_words_ids){if(J.length<Z.length-1)continue;let z=!0;for(let P=1;P<=Z.length-1;++P)if(Z.at(-P-1)!=J.at(-P)){z=!1;break}z&&(T[Z.at(-1)]=-1/0)}}return m}}class w extends t{constructor(F){if(super(),F<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${F}.`);this.guidance_scale=F}_call(F,m){if(m.dims[0]!==2*F.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 ${F.length} for the input ids.`);const G=F.length,T=m.slice([0,G],null),J=m.slice([G,m.dims[0]],null);for(let Z=0;Z<J.data.length;++Z)J.data[Z]+=(T.data[Z]-J.data[Z])*this.guidance_scale;return J}}class u extends s{constructor(F){super(),this.temperature=F}_call(F,m){const G=m.data;for(let T=0;T<G.length;++T)G[T]/=this.temperature;return m}}class _ extends s{constructor(F,{filter_value:m=-1/0,min_tokens_to_keep:G=1}={}){if(super(),F<0||F>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${F}`);if(!Number.isInteger(G)||G<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${G}`);this.top_p=F,this.filter_value=m,this.min_tokens_to_keep=G}}class y extends s{constructor(F,{filter_value:m=-1/0,min_tokens_to_keep:G=1}={}){if(super(),!Number.isInteger(F)||F<0)throw new Error(`\`top_k\` must be a positive integer, but is ${F}`);this.top_k=Math.max(F,G),this.filter_value=m}}}),"./src/generation/logits_sampler.js":((A,g,e)=>{e.r(g),e.d(g,{LogitsSampler:()=>s});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 s extends I.Callable{constructor(B){super(),this.generation_config=B}async _call(B){return this.sample(B)}async sample(B){throw Error("sample should be implemented in subclasses.")}getLogits(B,a){let d=B.dims.at(-1),c=B.data;if(a===-1)c=c.slice(-d);else{let p=a*d;c=c.slice(p,p+d)}return c}randomSelect(B){let a=0;for(let c=0;c<B.length;++c)a+=B[c];let d=Math.random()*a;for(let c=0;c<B.length;++c)if(d-=B[c],d<=0)return c;return 0}static getSampler(B){if(B.do_sample)return new C(B);if(B.num_beams>1)return new r(B);if(B.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${B.num_return_sequences}.`);return new o(B)}}class o extends s{async sample(B){const a=(0,t.max)(B.data)[1];return[[BigInt(a),0]]}}class C extends s{async sample(B){let a=B.dims.at(-1);this.generation_config.top_k>0&&(a=Math.min(this.generation_config.top_k,a));const[d,c]=await(0,i.topk)(B,a),p=(0,t.softmax)(d.data);return Array.from({length:this.generation_config.num_beams},()=>{const L=this.randomSelect(p);return[c.data[L],Math.log(p[L])]})}}class r extends s{async sample(B){let a=B.dims.at(-1);this.generation_config.top_k>0&&(a=Math.min(this.generation_config.top_k,a));const[d,c]=await(0,i.topk)(B,a),p=(0,t.softmax)(d.data);return Array.from({length:this.generation_config.num_beams},(L,w)=>[c.data[w],Math.log(p[w])])}}}),"./src/generation/stopping_criteria.js":((A,g,e)=>{e.r(g),e.d(g,{EosTokenCriteria:()=>o,InterruptableStoppingCriteria:()=>C,MaxLengthCriteria:()=>s,StoppingCriteria:()=>i,StoppingCriteriaList:()=>t});var I=e("./src/utils/generic.js");class i extends I.Callable{_call(Q,B){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,B){const a=new Array(Q.length).fill(!1);for(const d of this.criteria){const c=d(Q,B);for(let p=0;p<a.length;++p)a[p]||=c[p]}return a}[Symbol.iterator](){return this.criteria.values()}}class s extends i{constructor(Q,B=null){super(),this.max_length=Q,this.max_position_embeddings=B}_call(Q){return Q.map(B=>B.length>=this.max_length)}}class o extends i{constructor(Q){super(),Array.isArray(Q)||(Q=[Q]),this.eos_token_id=Q}_call(Q,B){return Q.map(a=>{const d=a.at(-1);return this.eos_token_id.some(c=>d==c)})}}class C extends i{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(Q,B){return new Array(Q.length).fill(this.interrupted)}}}),"./src/generation/streamers.js":((A,g,e)=>{e.r(g),e.d(g,{BaseStreamer:()=>s,TextStreamer:()=>C,WhisperTextStreamer:()=>r});var I=e("./src/utils/core.js"),i=e("./src/tokenizers.js"),t=e("./src/env.js");class s{put(B){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 C extends s{constructor(B,{skip_prompt:a=!1,callback_function:d=null,token_callback_function:c=null,skip_special_tokens:p=!0,decode_kwargs:L={},...w}={}){super(),this.tokenizer=B,this.skip_prompt=a,this.callback_function=d??o,this.token_callback_function=c,this.decode_kwargs={skip_special_tokens:p,...L,...w},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(B){if(B.length>1)throw Error("TextStreamer only supports batch size of 1");const a=this.next_tokens_are_prompt;if(a&&(this.next_tokens_are_prompt=!1,this.skip_prompt))return;const d=B[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 p;a||c.endsWith(`
`)?(p=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))?(p=c.slice(this.print_len),this.print_len+=p.length):(p=c.slice(this.print_len,c.lastIndexOf(" ")+1),this.print_len+=p.length),this.on_finalized_text(p,!1)}end(){let B;this.token_cache.length>0?(B=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):B="",this.next_tokens_are_prompt=!0,this.on_finalized_text(B,!0)}on_finalized_text(B,a){B.length>0&&this.callback_function?.(B),a&&this.callback_function===o&&t.apis.IS_PROCESS_AVAILABLE&&this.callback_function?.(`
`)}}class r extends C{constructor(B,{skip_prompt:a=!1,callback_function:d=null,token_callback_function:c=null,on_chunk_start:p=null,on_chunk_end:L=null,on_finalize:w=null,time_precision:u=.02,skip_special_tokens:_=!0,decode_kwargs:y={}}={}){super(B,{skip_prompt:a,skip_special_tokens:_,callback_function:d,token_callback_function:c,decode_kwargs:y}),this.timestamp_begin=B.timestamp_begin,this.on_chunk_start=p,this.on_chunk_end=L,this.on_finalize=w,this.time_precision=u,this.waiting_for_timestamp=!1}put(B){if(B.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const a=B[0];if(a.length===1){const d=Number(a[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?.(a);return}}return 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When 'free_dimension_overrides' is not set, you may experience significant performance degradation.`);const Ig=w.apis.IS_NODE_ENV&&w.env.useFSCache,ug=(0,C.getModelFile)(h,fe,!0,O,Ig),Gg=O.use_external_data_format??QA.use_external_data_format;let kg=[];if(Gg){let xe;typeof Gg=="object"?Gg.hasOwnProperty(Ve)?xe=Gg[Ve]:Gg.hasOwnProperty(D)?xe=Gg[D]:xe=!1:xe=Gg;const hg=+xe;if(hg>C.MAX_EXTERNAL_DATA_CHUNKS)throw new Error(`The number of external data chunks (${hg}) exceeds the maximum allowed value (${C.MAX_EXTERNAL_DATA_CHUNKS}).`);for(let vg=0;vg<hg;++vg){const ni=`${Ve}_data${vg===0?"":"_"+vg}`,gI=`${O.subfolder??""}/${ni}`;kg.push(new Promise(async(FI,qi)=>{const Oi=await(0,C.getModelFile)(h,gI,!0,O,Ig);FI(Oi instanceof Uint8Array?{path:ni,data:Oi}:ni)}))}}else De.externalData!==void 0&&(kg=De.externalData.map(async xe=>{if(typeof xe.data=="string"){const hg=await(0,C.getModelFile)(h,xe.data,!0,O);return{...xe,data:hg}}return xe}));if(kg.length>0){const xe=await Promise.all(kg);w.apis.IS_NODE_ENV||(De.externalData=xe)}if(mA==="webgpu"){const xe=(0,I.getCacheShapes)(O.config,{prefix:"present"});if(Object.keys(xe).length>0&&!(0,i.isONNXProxy)()){const hg={};for(const vg in xe)hg[vg]="gpu-buffer";De.preferredOutputLocation=hg}}return{buffer_or_path:await ug,session_options:De,session_config:Ue}}async function T(h,D,O){return Object.fromEntries(await Promise.all(Object.keys(D).map(async QA=>{const{buffer_or_path:pA,session_options:mA,session_config:PA}=await G(h,D[QA],O),OA=await(0,i.createInferenceSession)(pA,mA,PA);return[QA,OA]})))}async function J(h,D,O){return Object.fromEntries(await Promise.all(Object.keys(D).map(async QA=>{const pA=await(0,C.getModelJSON)(h,D[QA],!1,O);return[QA,pA]})))}function Z(h,D){const O=Object.create(null),QA=[];for(const PA of h.inputNames){const OA=D[PA];if(!(OA instanceof a.Tensor)){QA.push(PA);continue}O[PA]=(0,i.isONNXProxy)()?OA.clone():OA}if(QA.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${QA.join(", ")}.`);const pA=Object.keys(D).length,mA=h.inputNames.length;if(pA>mA){let PA=Object.keys(D).filter(OA=>!h.inputNames.includes(OA));console.warn(`WARNING: Too many inputs were provided (${pA} > ${mA}). 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h.encode_text({input_ids:D.input_ids})}if(O.inputNames.includes("token_type_ids")&&!QA.token_type_ids){if(!QA.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");QA.token_type_ids=(0,a.zeros_like)(QA.input_ids)}if(O.inputNames.includes("pixel_mask")&&!QA.pixel_mask){if(!QA.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const pA=QA.pixel_values.dims;QA.pixel_mask=(0,a.ones)([pA[0],pA[2],pA[3]])}return await z(O,QA)}async function CA(h,D){const O=await h.encode(D);return await h.decode(O)}async function cA(h,D,O=!1){const QA=h.sessions[O?"decoder_model_merged":"model"],{past_key_values:pA,...mA}=D;if(QA.inputNames.includes("use_cache_branch")&&(mA.use_cache_branch=AA(!!pA)),QA.inputNames.includes("position_ids")&&mA.attention_mask&&!mA.position_ids){const OA=["paligemma","gemma3_text","gemma3"].includes(h.config.model_type)?1:0;mA.position_ids=RA(mA,pA,OA)}h.addPastKeyValues(mA,pA);const PA=(0,o.pick)(mA,QA.inputNames);return await z(QA,PA)}function uA({modality_token_id:h,inputs_embeds:D,modality_features:O,input_ids:QA,attention_mask:pA}){const mA=QA.tolist().map(Be=>Be.reduce((Se,Le,Ue)=>(Le==h&&Se.push(Ue),Se),[])),PA=mA.reduce((Be,Se)=>Be+Se.length,0),OA=O.dims[0];if(PA!==OA)throw new Error(`Number of tokens and features do not match: tokens: ${PA}, features ${OA}`);let XA=0;for(let Be=0;Be<mA.length;++Be){const Se=mA[Be],Le=D[Be];for(let Ue=0;Ue<Se.length;++Ue)Le[Se[Ue]].data.set(O[XA++].data)}return{inputs_embeds:D,attention_mask:pA}}function v({image_token_id:h,inputs_embeds:D,image_features:O,input_ids:QA,attention_mask:pA}){return uA({modality_token_id:h,inputs_embeds:D,modality_features:O,input_ids:QA,attention_mask:pA})}function x({audio_token_id:h,inputs_embeds:D,audio_features:O,input_ids:QA,attention_mask:pA}){return uA({modality_token_id:h,inputs_embeds:D,modality_features:O,input_ids:QA,attention_mask:pA})}async function $(h,{encode_function:D,merge_function:O,modality_input_name:QA,modality_output_name:pA,input_ids:mA=null,attention_mask:PA=null,position_ids:OA=null,inputs_embeds:XA=null,past_key_values:Be=null,generation_config:Se=null,logits_processor:Le=null,...Ue}){const we=Ue[QA];if(!XA){if(XA=await h.encode_text({input_ids:mA,...Ue}),we&&mA.dims[1]!==1){const fe=await D({[QA]:we,...Ue});({inputs_embeds:XA,attention_mask:PA}=O({[pA]:fe,inputs_embeds:XA,input_ids:mA,attention_mask:PA}))}else if(Be&&we&&mA.dims[1]===1){const fe=mA.dims[1],De=Object.values(Be)[0].dims.at(-2);PA=(0,a.cat)([(0,a.ones)([mA.dims[0],De]),PA.slice(null,[PA.dims[1]-fe,PA.dims[1]])],1)}}if(!OA&&h.config.model_type==="qwen2_vl"){const{image_grid_thw:fe,video_grid_thw:De}=Ue;[OA]=h.get_rope_index(mA,fe,De,PA)}return await cA(h,{inputs_embeds:XA,past_key_values:Be,attention_mask:PA,position_ids:OA,generation_config:Se,logits_processor:Le},!0)}async function W(h,D){return await $(h,{...D,modality_input_name:"audio_values",modality_output_name:"audio_features",encode_function:h.encode_audio.bind(h),merge_function:h._merge_input_ids_with_audio_features.bind(h)})}async function nA(h,D){return await $(h,{...D,modality_input_name:"pixel_values",modality_output_name:"image_features",encode_function:h.encode_image.bind(h),merge_function:h._merge_input_ids_with_image_features.bind(h)})}function xA(h,D=0){const[O,QA]=h.dims,pA=h.data,mA=new BigInt64Array(pA.length);for(let PA=0;PA<O;++PA){const OA=PA*QA;let XA=BigInt(D);for(let Be=0;Be<QA;++Be){const Se=OA+Be;pA[Se]===0n?mA[Se]=BigInt(1):(mA[Se]=XA,XA+=pA[Se])}}return{data:mA,dims:h.dims}}function RA(h,D=null,O=0){const{input_ids:QA,inputs_embeds:pA,attention_mask:mA}=h,{data:PA,dims:OA}=xA(mA,O);let XA=new a.Tensor("int64",PA,OA);if(D){const Be=-(QA??pA).dims.at(1);XA=XA.slice(null,[Be,null])}return XA}function vA(h,D,O,QA){const pA=O.past_key_values?Object.values(O.past_key_values)[0].dims.at(-2):0;if(!O.attention_mask){let mA;for(const PA of["input_ids","inputs_embeds","position_ids"])if(O[PA]){mA=O[PA].dims;break}if(!mA)throw new Error("attention_mask is not provided, and unable to infer its shape from model inputs.");O.attention_mask=(0,a.ones)([mA[0],pA+mA[1]])}if(O.past_key_values){const{input_ids:mA,attention_mask:PA}=O;PA&&PA.dims[1]>mA.dims[1]||pA<mA.dims[1]&&(O.input_ids=mA.slice(null,[pA,null]))}return O}function ie(h,D,O,QA){return O.past_key_values&&(D=D.map(pA=>[pA.at(-1)])),{...O,decoder_input_ids:tA(D)}}function kA(h,...D){return h.config.is_encoder_decoder?ie(h,...D):vA(h,...D)}function X(h,D,O,QA){const pA=!!O.past_key_values;return QA.guidance_scale!==null&&QA.guidance_scale>1&&(pA?O.input_ids=(0,a.cat)([O.input_ids,O.input_ids],0):(O.input_ids=(0,a.cat)([O.input_ids,(0,a.full_like)(O.input_ids,BigInt(QA.pad_token_id))],0),O.attention_mask=(0,a.cat)([O.attention_mask,(0,a.full_like)(O.attention_mask,0n)],0))),(pA||!O.pixel_values)&&(O.pixel_values=(0,a.full)([0,0,3,384,384],1)),pA&&(O.images_seq_mask=new a.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),O.images_emb_mask=new a.Tensor("bool",new Array(0).fill(!1),[1,1,0])),O}class q extends s.Callable{main_input_name="input_ids";forward_params=["input_ids","attention_mask"];constructor(D,O,QA){super(),this.config=D,this.sessions=O,this.configs=QA;const pA=m.get(this.constructor),mA=M.get(pA);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,mA){case y.DecoderOnly:this.can_generate=!0,this._forward=cA,this._prepare_inputs_for_generation=vA;break;case y.Seq2Seq:case y.Vision2Seq:case y.Musicgen:this.can_generate=!0,this._forward=iA,this._prepare_inputs_for_generation=ie;break;case y.EncoderDecoder:this._forward=iA;break;case y.ImageTextToText:this.can_generate=!0,this._forward=nA,this._prepare_inputs_for_generation=kA;break;case y.AudioTextToText:this.can_generate=!0,this._forward=W,this._prepare_inputs_for_generation=kA;break;case y.Phi3V:case y.ImageAudioTextToText:this.can_generate=!0,this._prepare_inputs_for_generation=kA;break;case y.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=X;break;case y.AutoEncoder:this._forward=CA;break;default:this._forward=rA;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){const D=[];for(const O of Object.values(this.sessions))O?.handler?.dispose&&D.push(O.handler.dispose());return await Promise.all(D)}static async from_pretrained(D,{progress_callback:O=null,config:QA=null,cache_dir:pA=null,local_files_only:mA=!1,revision:PA="main",model_file_name:OA=null,subfolder:XA="onnx",device:Be=null,dtype:Se=null,use_external_data_format:Le=null,session_options:Ue={}}={}){let we={progress_callback:O,config:QA,cache_dir:pA,local_files_only:mA,revision:PA,model_file_name:OA,subfolder:XA,device:Be,dtype:Se,use_external_data_format:Le,session_options:Ue};const Ve=m.get(this),fe=M.get(Ve);QA=we.config=await I.AutoConfig.from_pretrained(D,we);let De;if(fe===y.DecoderOnly)De=await Promise.all([T(D,{model:we.model_file_name??"model"},we),J(D,{generation_config:"generation_config.json"},we)]);else if(fe===y.Seq2Seq||fe===y.Vision2Seq)De=await Promise.all([T(D,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},we),J(D,{generation_config:"generation_config.json"},we)]);else if(fe===y.MaskGeneration)De=await Promise.all([T(D,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},we)]);else if(fe===y.EncoderDecoder)De=await Promise.all([T(D,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},we)]);else if(fe===y.ImageTextToText){const Pe={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};QA.is_encoder_decoder&&(Pe.model="encoder_model"),De=await Promise.all([T(D,Pe,we),J(D,{generation_config:"generation_config.json"},we)])}else if(fe===y.AudioTextToText){const Pe={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};De=await Promise.all([T(D,Pe,we),J(D,{generation_config:"generation_config.json"},we)])}else if(fe===y.ImageAudioTextToText){const Pe={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};De=await Promise.all([T(D,Pe,we),J(D,{generation_config:"generation_config.json"},we)])}else if(fe===y.Musicgen)De=await Promise.all([T(D,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},we),J(D,{generation_config:"generation_config.json"},we)]);else if(fe===y.MultiModality)De=await Promise.all([T(D,{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"},we),J(D,{generation_config:"generation_config.json"},we)]);else if(fe===y.Phi3V)De=await Promise.all([T(D,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},we),J(D,{generation_config:"generation_config.json"},we)]);else if(fe===y.AutoEncoder)De=await Promise.all([T(D,{encoder_model:"encoder_model",decoder_model:"decoder_model"},we)]);else{if(fe!==y.EncoderOnly){const Pe=Ve??QA?.model_type;Pe!=="custom"&&console.warn(`Model type for '${Pe}' not found, assuming encoder-only architecture. Please report this at ${r.GITHUB_ISSUE_URL}.`)}De=await Promise.all([T(D,{model:we.model_file_name??"model"},we)])}return new this(QA,...De)}async _call(D){return await this.forward(D)}async forward(D){return await this._forward(this,D)}get generation_config(){return this.configs?.generation_config??null}_get_logits_warper(D){const O=new Q.LogitsProcessorList;return D.temperature!==null&&D.temperature!==1&&O.push(new Q.TemperatureLogitsWarper(D.temperature)),D.top_k!==null&&D.top_k!==0&&O.push(new Q.TopKLogitsWarper(D.top_k)),D.top_p!==null&&D.top_p<1&&O.push(new Q.TopPLogitsWarper(D.top_p)),O}_get_logits_processor(D,O,QA=null){const pA=new Q.LogitsProcessorList;if(D.repetition_penalty!==null&&D.repetition_penalty!==1&&pA.push(new Q.RepetitionPenaltyLogitsProcessor(D.repetition_penalty)),D.no_repeat_ngram_size!==null&&D.no_repeat_ngram_size>0&&pA.push(new Q.NoRepeatNGramLogitsProcessor(D.no_repeat_ngram_size)),D.bad_words_ids!==null&&pA.push(new Q.NoBadWordsLogitsProcessor(D.bad_words_ids,D.eos_token_id)),D.min_length!==null&&D.eos_token_id!==null&&D.min_length>0&&pA.push(new Q.MinLengthLogitsProcessor(D.min_length,D.eos_token_id)),D.min_new_tokens!==null&&D.eos_token_id!==null&&D.min_new_tokens>0&&pA.push(new Q.MinNewTokensLengthLogitsProcessor(O,D.min_new_tokens,D.eos_token_id)),D.forced_bos_token_id!==null&&pA.push(new Q.ForcedBOSTokenLogitsProcessor(D.forced_bos_token_id)),D.forced_eos_token_id!==null&&pA.push(new Q.ForcedEOSTokenLogitsProcessor(D.max_length,D.forced_eos_token_id)),D.begin_suppress_tokens!==null){const mA=O>1||D.forced_bos_token_id===null?O:O+1;pA.push(new Q.SuppressTokensAtBeginLogitsProcessor(D.begin_suppress_tokens,mA))}return D.guidance_scale!==null&&D.guidance_scale>1&&pA.push(new Q.ClassifierFreeGuidanceLogitsProcessor(D.guidance_scale)),QA!==null&&pA.extend(QA),pA}_prepare_generation_config(D,O,QA=B.GenerationConfig){const pA={...this.config};for(const PA of["decoder","generator","text_config"])PA in pA&&Object.assign(pA,pA[PA]);const mA=new QA(pA);return Object.assign(mA,this.generation_config??{}),D&&Object.assign(mA,D),O&&Object.assign(mA,(0,o.pick)(O,Object.getOwnPropertyNames(mA))),mA}_get_stopping_criteria(D,O=null){const QA=new p.StoppingCriteriaList;return D.max_length!==null&&QA.push(new p.MaxLengthCriteria(D.max_length,this.config.max_position_embeddings??null)),D.eos_token_id!==null&&QA.push(new p.EosTokenCriteria(D.eos_token_id)),O&&QA.extend(O),QA}_validate_model_class(){if(!this.can_generate){const D=[mC,MC,yC,fC],O=m.get(this.constructor),QA=new Set,pA=this.config.model_type;for(const PA of D){const OA=PA.get(pA);OA&&QA.add(OA[0])}let mA=`The current model class (${O}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw QA.size>0&&(mA+=` Please use the following class instead: ${[...QA].join(", ")}`),Error(mA)}}prepare_inputs_for_generation(...D){return this._prepare_inputs_for_generation(this,...D)}_update_model_kwargs_for_generation({generated_input_ids:D,outputs:O,model_inputs:QA,is_encoder_decoder:pA}){return QA.past_key_values=this.getPastKeyValues(O,QA.past_key_values),QA.input_ids=new a.Tensor("int64",D.flat(),[D.length,1]),pA||(QA.attention_mask=(0,a.cat)([QA.attention_mask,(0,a.ones)([QA.attention_mask.dims[0],1])],1)),QA.position_ids=null,QA}_prepare_model_inputs({inputs:D,bos_token_id:O,model_kwargs:QA}){const pA=(0,o.pick)(QA,this.forward_params),mA=this.main_input_name;if(mA in pA){if(D)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else pA[mA]=D;return{inputs_tensor:pA[mA],model_inputs:pA,model_input_name:mA}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:D,model_inputs:O,model_input_name:QA,generation_config:pA}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!O.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:PA,pixel_values:OA,attention_mask:XA,...Be}=O,Se=await this._prepare_inputs_embeds(O);O={...Be,...(0,o.pick)(Se,["inputs_embeds","attention_mask"])}}let{last_hidden_state:mA}=await rA(this,O);if(pA.guidance_scale!==null&&pA.guidance_scale>1)mA=(0,a.cat)([mA,(0,a.full_like)(mA,0)],0),"attention_mask"in O&&(O.attention_mask=(0,a.cat)([O.attention_mask,(0,a.zeros_like)(O.attention_mask)],0));else if(O.decoder_input_ids){const PA=tA(O.decoder_input_ids).dims[0];if(PA!==mA.dims[0]){if(mA.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${mA.dims[0]}) than the decoder inputs (${PA}).`);mA=(0,a.cat)(Array.from({length:PA},()=>mA),0)}}return O.encoder_outputs=mA,O}_prepare_decoder_input_ids_for_generation({batch_size:D,model_input_name:O,model_kwargs:QA,decoder_start_token_id:pA,bos_token_id:mA,generation_config:PA}){let{decoder_input_ids:OA,...XA}=QA;if(!(OA instanceof a.Tensor)){if(OA)Array.isArray(OA[0])||(OA=Array.from({length:D},()=>OA));else if(pA??=mA,this.config.model_type==="musicgen")OA=Array.from({length:D*this.config.decoder.num_codebooks},()=>[pA]);else if(Array.isArray(pA)){if(pA.length!==D)throw new Error(`\`decoder_start_token_id\` expcted to have length ${D} but got ${pA.length}`);OA=pA}else OA=Array.from({length:D},()=>[pA]);OA=tA(OA)}return QA.decoder_attention_mask=(0,a.ones_like)(OA),{input_ids:OA,model_inputs:XA}}async generate({inputs:D=null,generation_config:O=null,logits_processor:QA=null,stopping_criteria:pA=null,streamer:mA=null,...PA}){this._validate_model_class(),O=this._prepare_generation_config(O,PA);let{inputs_tensor:OA,model_inputs:XA,model_input_name:Be}=this._prepare_model_inputs({inputs:D,model_kwargs:PA});const Se=this.config.is_encoder_decoder;Se&&("encoder_outputs"in XA||(XA=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:OA,model_inputs:XA,model_input_name:Be,generation_config:O})));let Le;Se?{input_ids:Le,model_inputs:XA}=this._prepare_decoder_input_ids_for_generation({batch_size:XA[Be].dims.at(0),model_input_name:Be,model_kwargs:XA,decoder_start_token_id:O.decoder_start_token_id,bos_token_id:O.bos_token_id,generation_config:O}):Le=XA[Be];let Ue=Le.dims.at(-1);O.max_new_tokens!==null&&(O.max_length=Ue+O.max_new_tokens);const we=this._get_logits_processor(O,Ue,QA),Ve=this._get_stopping_criteria(O,pA),fe=XA[Be].dims.at(0),De=L.LogitsSampler.getSampler(O),Pe=new Array(fe).fill(0),Ig=Le.tolist();mA&&mA.put(Ig);let ug,Gg={};for(;;){if(XA=this.prepare_inputs_for_generation(Ig,XA,O),ug=await this.forward(XA),O.output_attentions&&O.return_dict_in_generate){const gI=this.getAttentions(ug);for(const FI in gI)FI in Gg||(Gg[FI]=[]),Gg[FI].push(gI[FI])}const xe=ug.logits.slice(null,-1,null),hg=we(Ig,xe),vg=[];for(let gI=0;gI<hg.dims.at(0);++gI){const FI=hg[gI],qi=await De(FI);for(const[Oi,Uo]of qi){const Rt=BigInt(Oi);Pe[gI]+=Uo,Ig[gI].push(Rt),vg.push([Rt]);break}}if(mA&&mA.put(vg),Ve(Ig).every(gI=>gI))break;XA=this._update_model_kwargs_for_generation({generated_input_ids:vg,outputs:ug,model_inputs:XA,is_encoder_decoder:Se})}mA&&mA.end();const kg=this.getPastKeyValues(ug,XA.past_key_values,!0),Sg=new a.Tensor("int64",Ig.flat(),[Ig.length,Ig[0].length]);if(O.return_dict_in_generate)return{sequences:Sg,past_key_values:kg,...Gg};for(const xe of Object.values(ug))xe.location==="gpu-buffer"&&xe.dispose();return Sg}getPastKeyValues(D,O,QA=!1){const pA=Object.create(null);for(const mA in D)if(mA.startsWith("present")){const PA=mA.replace("present_conv","past_conv").replace("present","past_key_values"),OA=mA.includes("encoder");if(OA&&O?pA[PA]=O[PA]:pA[PA]=D[mA],O&&(!OA||QA)){const XA=O[PA];XA.location==="gpu-buffer"&&XA.dispose()}}return pA}getAttentions(D){const O={};for(const QA of["cross_attentions","encoder_attentions","decoder_attentions"])for(const pA in D)pA.startsWith(QA)&&(QA in O||(O[QA]=[]),O[QA].push(D[pA]));return O}addPastKeyValues(D,O){if(O)Object.assign(D,O);else{const QA=this.sessions.decoder_model_merged??this.sessions.model,pA=(D[this.main_input_name]??D.attention_mask)?.dims?.[0]??1,mA=QA?.config?.kv_cache_dtype??"float32",PA=mA==="float16"?a.DataTypeMap.float16:a.DataTypeMap.float32,OA=(0,I.getCacheShapes)(this.config,{batch_size:pA});for(const XA in OA){const Be=OA[XA].reduce((Se,Le)=>Se*Le,1);D[XA]=new a.Tensor(mA,new PA(Be),OA[XA])}}}async encode_image({pixel_values:D}){return(await z(this.sessions.vision_encoder,{pixel_values:D})).image_features}async encode_text({input_ids:D}){return(await z(this.sessions.embed_tokens,{input_ids:D})).inputs_embeds}async encode_audio({audio_values:D}){return(await z(this.sessions.audio_encoder,{audio_values:D})).audio_features}}class wA{}class LA extends wA{constructor({last_hidden_state:D,hidden_states:O=null,attentions:QA=null}){super(),this.last_hidden_state=D,this.hidden_states=O,this.attentions=QA}}class JA extends q{}class GA extends JA{}class fA extends JA{async _call(D){return new Pg(await super._call(D))}}class _A extends JA{async _call(D){return new Fe(await super._call(D))}}class dA extends JA{async _call(D){return new bg(await super._call(D))}}class YA extends JA{async _call(D){return new Zg(await super._call(D))}}class HA extends q{}class Ae extends HA{}class SA extends HA{async _call(D){return new Pg(await super._call(D))}}class re extends HA{async _call(D){return new Fe(await super._call(D))}}class $A extends HA{async _call(D){return new bg(await super._call(D))}}class WA extends HA{async _call(D){return new Zg(await super._call(D))}}class Ce extends q{}class ee extends Ce{}class oe extends Ce{async _call(D){return new Pg(await super._call(D))}}class TA extends Ce{async _call(D){return new Fe(await super._call(D))}}class ke extends Ce{async _call(D){return new bg(await super._call(D))}}class Je extends q{}class pe extends Je{}class fg extends Je{}class zg extends q{}class qg extends zg{}class xg extends q{}class rg extends xg{}class U extends xg{async _call(D){return new Pg(await super._call(D))}}class wg extends xg{async _call(D){return new Fe(await super._call(D))}}class xI extends xg{async _call(D){return new bg(await super._call(D))}}class fI extends xg{async _call(D){return new Zg(await super._call(D))}}class AI extends q{}class he extends AI{}class EI extends AI{async _call(D){return new Pg(await super._call(D))}}class ze extends AI{async _call(D){return new Fe(await super._call(D))}}class Ne extends AI{async _call(D){return new bg(await super._call(D))}}class lI extends AI{async _call(D){return new Zg(await super._call(D))}}class R extends q{}class gA extends R{}class j extends R{async _call(D){return new Pg(await super._call(D))}}class IA extends R{async _call(D){return new Fe(await super._call(D))}}class aA extends R{async _call(D){return new bg(await super._call(D))}}class yA extends R{async _call(D){return new Zg(await super._call(D))}}class bA extends q{}class ae extends bA{}class Ee extends bA{async _call(D){return new Pg(await super._call(D))}}class Ie extends bA{async _call(D){return new Fe(await super._call(D))}}class _e extends bA{async _call(D){return new bg(await super._call(D))}}class be extends bA{async _call(D){return new Zg(await super._call(D))}}class tg extends q{}class Ag extends tg{}class lg extends tg{async _call(D){return new Pg(await super._call(D))}}class Og extends tg{async _call(D){return new Fe(await super._call(D))}}class gg extends tg{async _call(D){return new bg(await super._call(D))}}class og extends tg{async _call(D){return new Zg(await super._call(D))}}class Wg extends q{}class Lg extends Wg{}class sI extends Wg{async _call(D){return new Pg(await super._call(D))}}class CI extends Wg{async _call(D){return new Fe(await super._call(D))}}class jg extends Wg{async _call(D){return new bg(await super._call(D))}}class cI extends Wg{async _call(D){return new Zg(await super._call(D))}}class $g extends q{}class yg extends $g{}class cg extends $g{async _call(D){return new Fe(await super._call(D))}}class $e extends $g{async _call(D){return new bg(await super._call(D))}}class mg extends $g{async _call(D){return new Zg(await super._call(D))}}class iI extends $g{async _call(D){return new Pg(await super._call(D))}}class Tg extends q{}class tI extends Tg{}class yI extends Tg{async _call(D){return new Pg(await super._call(D))}}class l extends Tg{async _call(D){return new Fe(await super._call(D))}}class f extends Tg{async _call(D){return new bg(await super._call(D))}}class k extends q{}class b extends k{}class eA extends k{async _call(D){return new Pg(await super._call(D))}}class EA extends k{async _call(D){return new Fe(await super._call(D))}}class DA extends k{async _call(D){return new Zg(await super._call(D))}}class MA extends q{}class se extends MA{}class me extends MA{async _call(D){return new Pg(await super._call(D))}}class ve extends MA{async _call(D){return new Fe(await super._call(D))}}class Ze extends MA{async _call(D){return new bg(await super._call(D))}}class BA extends MA{async _call(D){return new Zg(await super._call(D))}}class N extends q{}class H extends N{}class oA extends N{async _call(D){return new Pg(await super._call(D))}}class sA extends N{async _call(D){return new Fe(await super._call(D))}}class hA extends N{async _call(D){return new Zg(await super._call(D))}}class NA extends q{}class zA extends NA{}class ge extends NA{async _call(D){return new Fe(await super._call(D))}}class ZA extends NA{async _call(D){return new Zg(await super._call(D))}}class VA extends NA{async _call(D){return new Pg(await super._call(D))}}class ce extends q{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]}class Re extends ce{}class ng extends ce{}class Ng extends q{}class sg extends Ng{}class Eg extends Ng{}class eg extends q{}class oI extends eg{}class dI extends eg{}class Kg extends q{}class mI extends Kg{}class ag extends Kg{}class Mg extends Kg{async _call(D){return new Fe(await super._call(D))}}class Yg extends q{}class rI extends Yg{}class MI extends Yg{}class _g extends Yg{async _call(D){return new Fe(await super._call(D))}}class uI extends Yg{}class Rg extends q{}class Bg extends Rg{}class Fg extends Rg{}class dg extends q{}class eI extends dg{}class VI extends dg{}class TI extends q{}class It extends TI{}class $t extends TI{async _call(D){return new Pg(await super._call(D))}}class Zt extends TI{async _call(D){return new Fe(await super._call(D))}}class Xt extends TI{async _call(D){return new bg(await super._call(D))}}class Ao extends TI{async _call(D){return new Zg(await super._call(D))}}class zI extends q{}class eo extends zI{}class go extends zI{async _call(D){return new Pg(await super._call(D))}}class Io extends zI{async _call(D){return new Fe(await super._call(D))}}class io extends zI{async _call(D){return new bg(await super._call(D))}}class to extends zI{async _call(D){return new Zg(await super._call(D))}}class $I extends q{}class oo extends $I{}class it extends $I{async _call(D){return new Pg(await super._call(D))}}class tt extends $I{async _call(D){return new Fe(await super._call(D))}}class ot extends $I{async _call(D){return new bg(await super._call(D))}}class so extends $I{async _call(D){return new Zg(await super._call(D))}}class st extends q{}class Ct extends st{}class rt extends st{}class vI extends q{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]}class Co extends vI{}class Ni extends vI{_prepare_generation_config(D,O){return super._prepare_generation_config(D,O,u.WhisperGenerationConfig)}_retrieve_init_tokens(D){const O=[D.decoder_start_token_id];let QA=D.language;const pA=D.task;if(D.is_multilingual){QA||(console.warn("No language specified - defaulting to English (en)."),QA="en");const PA=`<|${(0,_.whisper_language_to_code)(QA)}|>`;O.push(D.lang_to_id[PA]),O.push(D.task_to_id[pA??"transcribe"])}else if(QA||pA)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!D.return_timestamps&&D.no_timestamps_token_id&&O.at(-1)!==D.no_timestamps_token_id?O.push(D.no_timestamps_token_id):D.return_timestamps&&O.at(-1)===D.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),O.pop()),O.filter(mA=>mA!=null)}async generate({inputs:D=null,generation_config:O=null,logits_processor:QA=null,stopping_criteria:pA=null,...mA}){O=this._prepare_generation_config(O,mA);const PA=mA.decoder_input_ids??this._retrieve_init_tokens(O);if(O.return_timestamps&&(QA??=new Q.LogitsProcessorList,QA.push(new Q.WhisperTimeStampLogitsProcessor(O,PA))),O.begin_suppress_tokens&&(QA??=new Q.LogitsProcessorList,QA.push(new Q.SuppressTokensAtBeginLogitsProcessor(O.begin_suppress_tokens,PA.length))),O.return_token_timestamps){if(!O.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.");O.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),O.output_attentions=!0,O.return_dict_in_generate=!0}const OA=await super.generate({inputs:D,generation_config:O,logits_processor:QA,decoder_input_ids:PA,...mA});return O.return_token_timestamps&&(OA.token_timestamps=this._extract_token_timestamps(OA,O.alignment_heads,O.num_frames)),OA}_extract_token_timestamps(D,O,QA=null,pA=.02){if(!D.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`.");QA==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 PA=D.cross_attentions,OA=Array.from({length:this.config.decoder_layers},(fe,De)=>(0,a.cat)(PA.map(Pe=>Pe[De]),2)),XA=(0,a.stack)(O.map(([fe,De])=>{if(fe>=OA.length)throw new Error(`Layer index ${fe} is out of bounds for cross attentions (length ${OA.length}).`);return QA?OA[fe].slice(null,De,null,[0,QA]):OA[fe].slice(null,De)})).transpose(1,0,2,3),[Be,Se]=(0,a.std_mean)(XA,-2,0,!0),Le=XA.clone();for(let fe=0;fe<Le.dims[0];++fe){const De=Le[fe];for(let Pe=0;Pe<De.dims[0];++Pe){const Ig=De[Pe],ug=Be[fe][Pe][0].data,Gg=Se[fe][Pe][0].data;for(let kg=0;kg<Ig.dims[0];++kg){let Sg=Ig[kg].data;for(let xe=0;xe<Sg.length;++xe)Sg[xe]=(Sg[xe]-Gg[xe])/ug[xe];Sg.set((0,c.medianFilter)(Sg,mA))}}}const Ue=[(0,a.mean)(Le,1)],we=D.sequences.dims,Ve=new a.Tensor("float32",new Float32Array(we[0]*we[1]),we);for(let fe=0;fe<we[0];++fe){const De=Ue[fe].neg().squeeze_(0),[Pe,Ig]=(0,c.dynamic_time_warping)(De.tolist()),ug=Array.from({length:Pe.length-1},(Sg,xe)=>Pe[xe+1]-Pe[xe]),Gg=(0,o.mergeArrays)([1],ug).map(Sg=>!!Sg),kg=[];for(let Sg=0;Sg<Gg.length;++Sg)Gg[Sg]&&kg.push(Ig[Sg]*pA);Ve[fe].data.set(kg,1)}return Ve}}class ro extends Ni{}class at extends q{requires_attention_mask=!1;main_input_name="input_values";forward_params=["input_values","decoder_input_ids","past_key_values"]}class Bs extends at{}class _i extends at{}class Ri extends q{main_input_name="pixel_values";forward_params=["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"]}class Bt extends q{forward_params=["input_ids","attention_mask","pixel_values","position_ids","past_key_values"]}class Gi extends Bt{_merge_input_ids_with_image_features(D){const O=D.image_features.dims.at(-1),QA=D.image_features.view(-1,O);return v({image_token_id:this.config.image_token_index,...D,image_features:QA})}}class ao extends Gi{}class Bo extends Gi{}class Qo extends q{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 no extends Qo{_merge_input_ids_with_image_features({inputs_embeds:D,image_features:O,input_ids:QA,attention_mask:pA}){return{inputs_embeds:(0,a.cat)([O,D],1),attention_mask:(0,a.cat)([(0,a.ones)(O.dims.slice(0,2)),pA],1)}}async _prepare_inputs_embeds({input_ids:D,pixel_values:O,inputs_embeds:QA,attention_mask:pA}){if(!D&&!O)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let mA,PA;return D&&(mA=await this.encode_text({input_ids:D})),O&&(PA=await this.encode_image({pixel_values:O})),mA&&PA?{inputs_embeds:QA,attention_mask:pA}=this._merge_input_ids_with_image_features({inputs_embeds:mA,image_features:PA,input_ids:D,attention_mask:pA}):QA=mA||PA,{inputs_embeds:QA,attention_mask:pA}}async forward({input_ids:D,pixel_values:O,attention_mask:QA,decoder_input_ids:pA,decoder_attention_mask:mA,encoder_outputs:PA,past_key_values:OA,inputs_embeds:XA,decoder_inputs_embeds:Be}){if(XA||({inputs_embeds:XA,attention_mask:QA}=await this._prepare_inputs_embeds({input_ids:D,pixel_values:O,inputs_embeds:XA,attention_mask:QA})),!PA){let{last_hidden_state:Ue}=await rA(this,{inputs_embeds:XA,attention_mask:QA});PA=Ue}if(!Be){if(!pA)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Be=await this.encode_text({input_ids:pA})}return await cA(this,{inputs_embeds:Be,attention_mask:mA,encoder_attention_mask:QA,encoder_hidden_states:PA,past_key_values:OA},!0)}}class Eo extends q{forward_params=["input_ids","attention_mask","pixel_values","position_ids","past_key_values"]}class lo extends Eo{_merge_input_ids_with_image_features(D){const O=D.image_features.dims.at(-1),QA=D.image_features.view(-1,O);return v({image_token_id:this.config.image_token_index,...D,image_features:QA})}}class co extends Bt{_merge_input_ids_with_image_features(D){const O=D.image_features.dims.at(-1),QA=D.image_features.view(-1,O);return v({image_token_id:this.config.image_token_index,...D,image_features:QA})}}class si extends q{forward_params=["input_ids","attention_mask","inputs_embeds","per_layer_inputs","position_ids","pixel_values","input_features","input_features_mask","past_key_values"]}class HI extends si{async forward({input_ids:D=null,attention_mask:O=null,pixel_values:QA=null,input_features:pA=null,input_features_mask:mA=null,position_ids:PA=null,inputs_embeds:OA=null,per_layer_inputs:XA=null,past_key_values:Be=null,generation_config:Se=null,logits_processor:Le=null,...Ue}){if((!OA||!XA)&&({inputs_embeds:OA,per_layer_inputs:XA}=await z(this.sessions.embed_tokens,{input_ids:D}),D.dims[1]!==1)){if(QA){const{image_features:Ve}=await z(this.sessions.vision_encoder,{pixel_values:QA});({inputs_embeds:OA,attention_mask:O}=this._merge_input_ids_with_image_features({image_features:Ve,inputs_embeds:OA,input_ids:D,attention_mask:O}))}if(pA){const{audio_features:Ve}=await z(this.sessions.audio_encoder,{input_features:pA,input_features_mask:mA});({inputs_embeds:OA,attention_mask:O}=this._merge_input_ids_with_audio_features({audio_features:Ve,inputs_embeds:OA,input_ids:D,attention_mask:O}))}}return await cA(this,{inputs_embeds:OA,per_layer_inputs:XA,past_key_values:Be,attention_mask:O,position_ids:PA,generation_config:Se,logits_processor:Le},!0)}_merge_input_ids_with_image_features(D){const O=D.image_features.dims.at(-1),QA=D.image_features.view(-1,O);return v({image_token_id:this.config.image_token_id,...D,image_features:QA})}_merge_input_ids_with_audio_features(D){const O=D.audio_features.dims.at(-1),QA=D.audio_features.view(-1,O);return x({audio_token_id:this.config.audio_token_id,...D,audio_features:QA})}}class Qt extends q{forward_params=["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"]}class ki extends Qt{async encode_image({pixel_values:D,pixel_attention_mask:O}){return(await z(this.sessions.vision_encoder,{pixel_values:D,pixel_attention_mask:O})).image_features}_merge_input_ids_with_image_features(D){const O=D.image_features.dims.at(-1),QA=D.image_features.view(-1,O);return v({image_token_id:this.config.image_token_id,...D,image_features:QA})}}class nt extends ki{}class Li extends q{forward_params=["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"]}class Ci extends Li{async forward({input_ids:D=null,attention_mask:O=null,pixel_values:QA=null,image_sizes:pA=null,position_ids:mA=null,inputs_embeds:PA=null,past_key_values:OA=null,generation_config:XA=null,logits_processor:Be=null,...Se}){if(!PA){let Ue;if(QA&&D.dims[1]!==1){if(!pA)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:Ue}=await z(this.sessions.vision_encoder,{pixel_values:QA,image_sizes:pA}))}else{const we=this.config.normalized_config.hidden_size;Ue=new a.Tensor("float32",[],[0,we])}({inputs_embeds:PA}=await z(this.sessions.prepare_inputs_embeds,{input_ids:D,image_features:Ue}))}return await cA(this,{inputs_embeds:PA,past_key_values:OA,attention_mask:O,position_ids:mA,generation_config:XA,logits_processor:Be},!1)}}class YI extends q{}class Et extends YI{}class uo extends YI{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"text_model"})}}class lt extends YI{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"text_model"})}}class ho extends YI{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"vision_model"})}}class ct extends YI{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"vision_model"})}}class dt extends q{}class ut extends dt{}class ht extends dt{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"text_model"})}}class ri extends YI{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"vision_model"})}}class ue extends q{}class Do extends ue{}class ai extends q{}class Dt extends ai{async forward(D){const O=!D.input_ids,QA=!D.pixel_values;if(O&&QA)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(O&&(D.input_ids=(0,a.ones)([D.pixel_values.dims[0],1])),QA){const{image_size:Be}=this.config.vision_config;D.pixel_values=(0,a.full)([0,3,Be,Be],0)}const{text_embeddings:pA,image_embeddings:mA,l2norm_text_embeddings:PA,l2norm_image_embeddings:OA}=await super.forward(D),XA={};return O||(XA.text_embeddings=pA,XA.l2norm_text_embeddings=PA),QA||(XA.image_embeddings=mA,XA.l2norm_image_embeddings=OA),XA}}class Bi extends ai{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"text_model"})}}class aI extends ai{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"vision_model"})}}class ZI extends q{}class Ki extends ZI{}class wt extends ZI{}class Ui extends q{}class pt extends Ui{}class bi extends Ui{}class Ji extends q{}class ft extends Ji{}class yt extends Ji{}class XI extends q{}class xi extends XI{}class Ti extends XI{}class Yi extends q{}class mt extends Yi{}class Mt extends Yi{}class Pi extends q{}class Ft extends Pi{}class n extends Pi{}class S extends q{}class K extends S{}class Y extends S{}class V extends q{}class lA extends V{}class KA extends V{}class qA extends q{}class te extends qA{}class Qe extends qA{}class Me extends q{}class Te extends Me{}class qe extends q{}class Ug extends qe{}class qI extends qe{}class St extends q{}class Na extends St{}class _a extends St{}class Qs extends q{}class Ra extends Qs{}class Ga extends Qs{}class ns extends q{}class ka extends ns{}class La extends ns{}class Es extends q{}class Ka extends Es{}class Ua extends Es{}class ls extends q{}class ba extends ls{}class Ja extends ls{}class cs extends q{}class xa extends cs{}class Ta extends cs{}class ds extends q{}class Ya extends ds{}class Pa extends ds{}class us extends q{}class va extends us{}class Ha extends us{}class hs extends q{}class qa extends hs{}class Oa extends hs{}class Ds extends q{}class Wa extends Ds{}class ja extends Ds{}class ws extends q{}class Va extends ws{}class za extends ws{}class ps extends q{}class $a extends ps{}class Za extends ps{}class fs extends q{}class Xa extends fs{}class AB extends fs{}class ys extends q{}class eB extends ys{}class gB extends ys{}class ms extends q{}class IB extends ms{}class iB extends ms{}class Ms extends q{}class tB extends Ms{}class oB extends Ms{}class Fs extends q{}class sB extends Fs{}class CB extends Fs{}class rB extends q{forward_params=["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"]}class aB extends rB{get_rope_index(D,O,QA,pA){const{vision_config:mA,image_token_id:PA,video_token_id:OA,vision_start_token_id:XA}=this.config,Be=mA.spatial_merge_size??2,Se=[];if(O||QA){let Le=D.tolist();pA||(pA=(0,a.ones_like)(D));const Ue=pA.tolist(),we=Array.from({length:3},Ig=>Array.from({length:D.dims[0]},ug=>Array.from({length:D.dims[1]},Gg=>1))),Ve=O?O.tolist():[],fe=QA?QA.tolist():[];let De=0,Pe=0;for(let Ig=0;Ig<Le.length;++Ig){const ug=Le[Ig].filter((Qg,Jg)=>Ue[Ig][Jg]==1),kg=ug.reduce((Qg,Jg,ei)=>(Jg==XA&&Qg.push(ei),Qg),[]).map(Qg=>ug[Qg+1]),Sg=kg.filter(Qg=>Qg==PA).length,xe=kg.filter(Qg=>Qg==OA).length;let hg=[],vg=0,ni=Sg,gI=xe;for(let Qg=0;Qg<kg.length;++Qg){const Jg=ug.findIndex((li,SI)=>SI>vg&&li==PA),ei=ug.findIndex((li,SI)=>SI>vg&&li==OA),Ei=ni>0&&Jg!==-1?Jg:ug.length+1,Wi=gI>0&&ei!==-1?ei:ug.length+1;let bo,FC,SC,NC;Ei<Wi?([FC,SC,NC]=Ve[De],++De,--ni,bo=Ei):([FC,SC,NC]=fe[Pe],++Pe,--gI,bo=Wi);const[Tp,_C,Jo]=[Number(FC),Math.floor(Number(SC)/Be),Math.floor(Number(NC)/Be)],RC=bo-vg,pl=hg.length>0?(0,c.max)(hg.at(-1))[0]+1:0;hg.push(Array.from({length:3*RC},(li,SI)=>pl+SI%RC));const GC=RC+pl,xo=Tp*_C*Jo,Yp=Array.from({length:xo},(li,SI)=>GC+Math.floor(SI/(_C*Jo))),Pp=Array.from({length:xo},(li,SI)=>GC+Math.floor(SI/Jo)%_C),vp=Array.from({length:xo},(li,SI)=>GC+SI%Jo);hg.push([Yp,Pp,vp].flat()),vg=bo+xo}if(vg<ug.length){const Qg=hg.length>0?(0,c.max)(hg.at(-1))[0]+1:0,Jg=ug.length-vg;hg.push(Array.from({length:3*Jg},(ei,Ei)=>Qg+Ei%Jg))}const FI=hg.reduce((Qg,Jg)=>Qg+Jg.length,0),qi=new Array(FI);let Oi=0;for(let Qg=0;Qg<3;++Qg)for(let Jg=0;Jg<hg.length;++Jg){const ei=hg[Jg],Ei=ei.length/3;for(let Wi=Qg*Ei;Wi<(Qg+1)*Ei;++Wi)qi[Oi++]=ei[Wi]}let Uo=0;const Rt=Ue[Ig];for(let Qg=0;Qg<Rt.length;++Qg)if(Rt[Qg]==1){for(let Jg=0;Jg<3;++Jg)we[Jg][Ig][Qg]=qi[Jg*FI/3+Uo];++Uo}const xp=(0,c.max)(qi)[0];Se.push(xp+1-Le[Ig].length)}return[new a.Tensor("int64",we.flat(1/0),[3,D.dims[0],D.dims[1]]),new a.Tensor("int64",Se,[Se.length,1])]}else if(pA){const{data:Le,dims:Ue}=xA(pA),we=BigInt64Array.from({length:3*Le.length},(fe,De)=>Le[De%Le.length]),Ve=Array.from({length:Ue[0]},(fe,De)=>(0,c.max)(Le.subarray(Ue[1]*De,Ue[1]*(De+1)))[0]+1n+BigInt(Ue[1]));return[new a.Tensor("int64",we,[3,...Ue]),new a.Tensor("int64",Ve,[Ve.length,1])]}else{const[Le,Ue]=D.dims,we=BigInt64Array.from({length:3*Le*Ue},(Ve,fe)=>BigInt(Math.floor(fe%Ue/Le)));return[new a.Tensor("int64",we,[3,...D.dims]),(0,a.zeros)([Le,1])]}}async encode_image({pixel_values:D,image_grid_thw:O}){return(await z(this.sessions.vision_encoder,{pixel_values:D,grid_thw:O})).image_features}_merge_input_ids_with_image_features(D){return v({image_token_id:this.config.image_token_id,...D})}prepare_inputs_for_generation(D,O,QA){if(O.attention_mask&&!O.position_ids)if(!O.past_key_values)[O.position_ids,O.rope_deltas]=this.get_rope_index(O.input_ids,O.image_grid_thw,O.video_grid_thw,O.attention_mask);else{O.pixel_values=null;const pA=BigInt(Object.values(O.past_key_values)[0].dims.at(-2)),mA=O.rope_deltas.map(PA=>pA+PA);O.position_ids=(0,a.stack)([mA,mA,mA],0)}return O}}class Ss extends q{}class BB extends Ss{}class QB extends Ss{}class Ns extends q{}class nB extends Ns{}class EB extends Ns{}class _s extends q{}class lB extends _s{}class cB extends _s{}class Rs extends q{}class dB extends Rs{}class uB extends Rs{}class Gs extends q{}class hB extends Gs{}class DB extends Gs{}class ks extends q{}class wB extends ks{}class pB extends ks{async _call(D){return new Fe(await super._call(D))}}class Ls extends q{}class fB extends Ls{}class yB extends Ls{async _call(D){return new Fe(await super._call(D))}}class mB extends q{}class MB extends mB{}class Ks extends q{}class FB extends Ks{}class SB extends Ks{async _call(D){return new Fe(await super._call(D))}}class NB extends q{}class _B extends NB{}class Us extends q{}class RB extends Us{}class GB extends Us{async _call(D){return new Fe(await super._call(D))}}class kB extends q{}class LB extends kB{}class bs extends q{}class KB extends bs{}class UB extends bs{async _call(D){return new Fe(await super._call(D))}}class bB extends q{}class JB extends bB{async _call(D){return new Dl(await super._call(D))}}class Js extends q{}class xB extends Js{}class TB extends Js{async _call(D){return new Fe(await super._call(D))}}class xs extends q{}class YB extends xs{}class PB extends xs{async _call(D){return new Fe(await super._call(D))}}class Ts extends q{}class vB extends Ts{}class HB extends Ts{}class Ys extends q{}class qB extends Ys{}class OB extends Ys{}class Ps extends q{}class WB extends Ps{}class jB extends Ps{async _call(D){return new Fe(await super._call(D))}}class wo extends q{}class VB extends wo{}class zB extends wo{async _call(D){return new Hs(await super._call(D))}}class vs extends wo{async _call(D){return new $B(await super._call(D))}}class Hs extends wA{constructor({logits:D,pred_boxes:O}){super(),this.logits=D,this.pred_boxes=O}}class $B extends wA{constructor({logits:D,pred_boxes:O,pred_masks:QA}){super(),this.logits=D,this.pred_boxes=O,this.pred_masks=QA}}class qs extends q{}class ZB extends qs{}class XB extends qs{async _call(D){return new Nt(await super._call(D))}}class Nt extends wA{constructor({logits:D,pred_boxes:O}){super(),this.logits=D,this.pred_boxes=O}}class Os extends q{}class AQ extends Os{}class eQ extends Os{async _call(D){return new gQ(await super._call(D))}}class gQ extends Nt{}class Ws extends q{}class IQ extends Ws{}class iQ extends Ws{async _call(D){return new tQ(await super._call(D))}}class tQ extends Nt{}class js extends q{}class oQ extends js{}class sQ extends js{async _call(D){return new Nt(await super._call(D))}}class Vs extends q{}class CQ extends Vs{}class rQ extends Vs{async _call(D){return new aQ(await super._call(D))}}class aQ extends Hs{}class zs extends q{}class BQ extends zs{}class QQ extends zs{async _call(D){return new Fe(await super._call(D))}}class $s extends q{}class nQ extends $s{}class EQ extends $s{async _call(D){return new Fe(await super._call(D))}}class Zs extends q{}class lQ extends Zs{}class cQ extends Zs{async _call(D){return new Fe(await super._call(D))}}class po extends q{}class dQ extends po{}class uQ extends po{async _call(D){return new Fe(await super._call(D))}}class hQ extends po{}class Xs extends q{}class DQ extends Xs{}class wQ extends Xs{}class AC extends q{}class pQ extends AC{}class fQ extends AC{}class yQ extends q{}class mQ extends yQ{}class fo extends q{}class MQ extends fo{}class FQ extends fo{}class SQ extends fo{}class NQ extends q{}class _Q extends NQ{}class RQ extends q{}class GQ extends RQ{}class kQ extends q{}class LQ extends kQ{}class eC extends q{}class KQ extends eC{}class UQ extends eC{}class gC extends q{}class bQ extends gC{}class JQ extends gC{}class xQ extends q{}class TQ extends xQ{}class IC extends q{}class YQ extends IC{}class PQ extends IC{async _call(D){return new Fe(await super._call(D))}}class iC extends q{}class vQ extends iC{}class HQ extends iC{async _call(D){return new Fe(await super._call(D))}}class tC extends q{}class qQ extends tC{}class OQ extends tC{async _call(D){return new Fe(await super._call(D))}}class oC extends q{}class WQ extends oC{}class jQ extends oC{async _call(D){return new Fe(await super._call(D))}}class VQ extends q{}class zQ extends VQ{}class $Q extends q{}class ZQ extends $Q{}class XQ extends q{}class An extends XQ{}class sC extends q{}class en extends sC{}class gn extends sC{async _call(D){return new In(await super._call(D))}}class In extends wA{constructor({logits:D,pred_boxes:O}){super(),this.logits=D,this.pred_boxes=O}}class tn extends q{}class on extends tn{async get_image_embeddings({pixel_values:D}){return await rA(this,{pixel_values:D})}async forward(D){if((!D.image_embeddings||!D.image_positional_embeddings)&&(D={...D,...await this.get_image_embeddings(D)}),!D.input_labels&&D.input_points){const QA=D.input_points.dims.slice(0,-1),pA=QA.reduce((mA,PA)=>mA*PA,1);D.input_labels=new a.Tensor("int64",new BigInt64Array(pA).fill(1n),QA)}const O={image_embeddings:D.image_embeddings,image_positional_embeddings:D.image_positional_embeddings};return D.input_points&&(O.input_points=D.input_points),D.input_labels&&(O.input_labels=D.input_labels),D.input_boxes&&(O.input_boxes=D.input_boxes),await z(this.sessions.prompt_encoder_mask_decoder,O)}async _call(D){return new sn(await super._call(D))}}class sn extends wA{constructor({iou_scores:D,pred_masks:O}){super(),this.iou_scores=D,this.pred_masks=O}}class CC extends q{}class Cn extends CC{}class rn extends CC{}class rC extends q{}class an extends rC{}class Bn extends rC{}class Ai extends q{}class Qn extends Ai{}class nn extends Ai{async _call(D){return new Qi(await super._call(D))}}class En extends Ai{async _call(D){return new Fe(await super._call(D))}}class ln extends Ai{async _call(D){return new bg(await super._call(D))}}class aC extends q{}class cn extends aC{}class dn extends aC{async _call(D){return new bg(await super._call(D))}}class un extends q{}class hn extends un{}class yo extends q{}class Dn extends yo{}class wn extends yo{async _call(D){return new Qi(await super._call(D))}}class pn extends yo{async _call(D){return new Fe(await super._call(D))}}class _t extends q{}class fn extends _t{}class yn extends _t{async _call(D){return new Qi(await super._call(D))}}class mn extends _t{async _call(D){return new Fe(await super._call(D))}}class Mn extends _t{async _call(D){return new bg(await super._call(D))}}class mo extends q{}class Fn extends mo{}class Sn extends mo{async _call(D){return new Qi(await super._call(D))}}class Nn extends mo{async _call(D){return new Fe(await super._call(D))}}class W0 extends q{}class _n extends Ai{}class Rn extends Ai{async _call(D){return new Qi(await super._call(D))}}class Gn extends Ai{async _call(D){return new Fe(await super._call(D))}}class vi extends q{}class kn extends vi{}class Ln extends vi{async _call(D){return new Qi(await super._call(D))}}class Kn extends vi{async _call(D){return new Fe(await super._call(D))}}class Un extends vi{async _call(D){return new hl(await super._call(D))}}class bn extends vi{async _call(D){return new bg(await super._call(D))}}class Jn extends q{}class xn extends Jn{}class Mo extends q{}class j0 extends Mo{}class Tn extends Mo{}class Yn extends Mo{async generate_speech(D,O,{threshold:QA=.5,minlenratio:pA=0,maxlenratio:mA=20,vocoder:PA=null}={}){const OA={input_ids:D},{encoder_outputs:XA,encoder_attention_mask:Be}=await rA(this,OA),Se=XA.dims[1]/this.config.reduction_factor,Le=Math.floor(Se*mA),Ue=Math.floor(Se*pA),we=this.config.num_mel_bins;let Ve=[],fe=null,De=null,Pe=0;for(;;){++Pe;const Gg=AA(!!De);let kg;De?kg=De.output_sequence_out:kg=new a.Tensor("float32",new Float32Array(we),[1,1,we]);let Sg={use_cache_branch:Gg,output_sequence:kg,encoder_attention_mask:Be,speaker_embeddings:O,encoder_hidden_states:XA};this.addPastKeyValues(Sg,fe),De=await z(this.sessions.decoder_model_merged,Sg),fe=this.getPastKeyValues(De,fe);const{prob:xe,spectrum:hg}=De;if(Ve.push(hg),Pe>=Ue&&(Array.from(xe.data).filter(vg=>vg>=QA).length>0||Pe>=Le))break}const Ig=(0,a.cat)(Ve),{waveform:ug}=await z(PA.sessions.model,{spectrogram:Ig});return{spectrogram:Ig,waveform:ug}}}class Pn extends q{main_input_name="spectrogram"}class vn extends q{}class Hn extends vn{}class BC extends q{}class qn extends BC{}class On extends BC{}class QC extends q{}class Wn extends QC{}class jn extends QC{}class nC extends q{}class Vn extends nC{}class zn extends nC{}class EC extends q{}class $n extends EC{}class Zn extends EC{}class Fo extends q{}class Xn extends Fo{}class AE extends Fo{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"text_model"})}}class eE extends Fo{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"audio_model"})}}class gE extends q{}class lC extends gE{async _call(D){return new wl(await super._call(D))}}class So extends q{}class V0 extends So{}class IE extends So{}class iE extends So{}class cC extends q{}class tE extends cC{}class oE extends cC{}class dC extends q{}class sE extends dC{}class CE extends dC{async _call(D){return new Fe(await super._call(D))}}class uC extends q{}class z0 extends uC{}class $0 extends uC{}class hC extends q{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];_apply_and_filter_by_delay_pattern_mask(D){const[O,QA]=D.dims,pA=this.config.decoder.num_codebooks,mA=QA-pA;let PA=0;for(let Be=0;Be<D.size;++Be){if(D.data[Be]===this.config.decoder.pad_token_id)continue;const Se=Be%QA,Le=Math.floor(Be/QA)%pA,Ue=Se-Le;Ue>0&&Ue<=mA&&(D.data[PA++]=D.data[Be])}const OA=Math.floor(O/pA),XA=PA/(OA*pA);return new a.Tensor(D.type,D.data.slice(0,PA),[OA,pA,XA])}prepare_inputs_for_generation(D,O,QA){let pA=structuredClone(D);for(let PA=0;PA<pA.length;++PA)for(let OA=0;OA<pA[PA].length;++OA)PA%this.config.decoder.num_codebooks>=OA&&(pA[PA][OA]=BigInt(this.config.decoder.pad_token_id));return QA.guidance_scale!==null&&QA.guidance_scale>1&&(pA=pA.concat(pA)),super.prepare_inputs_for_generation(pA,O,QA)}async generate(D){const O=await super.generate(D),QA=this._apply_and_filter_by_delay_pattern_mask(O).unsqueeze_(0),{audio_values:pA}=await z(this.sessions.encodec_decode,{audio_codes:QA});return pA}}class No extends q{}class rE extends No{}class aE extends No{async _call(D){return new Fe(await super._call(D))}}class BE extends No{}class _o extends q{}class QE extends _o{}class nE extends _o{async _call(D){return new Fe(await super._call(D))}}class EE extends _o{}class Ro extends q{}class lE extends Ro{}class cE extends Ro{async _call(D){return new Fe(await super._call(D))}}class dE extends Ro{}class Go extends q{}class uE extends Go{}class hE extends Go{async _call(D){return new Fe(await super._call(D))}}class DE extends Go{}class wE extends q{}class pE extends wE{}class fE extends q{}class yE extends fE{forward_params=["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"];constructor(...D){super(...D),this._generation_mode="text"}async forward(D){const O=this._generation_mode??"text";let QA;if(O==="text"||!D.past_key_values){const XA=this.sessions.prepare_inputs_embeds,Be=(0,o.pick)(D,XA.inputNames);QA=await z(XA,Be)}else{const XA=this.sessions.gen_img_embeds,Be=(0,o.pick)({image_ids:D.input_ids},XA.inputNames);QA=await z(XA,Be)}const pA={...D,...QA},mA=await cA(this,pA),PA=this.sessions[O==="text"?"lm_head":"gen_head"];if(!PA)throw new Error(`Unable to find "${PA}" generation head`);const OA=await z(PA,(0,o.pick)(mA,PA.inputNames));return{...QA,...mA,...OA}}async generate(D){return this._generation_mode="text",super.generate(D)}async generate_images(D){this._generation_mode="image";const O=(D.inputs??D[this.main_input_name]).dims[1],pA=(await super.generate(D)).slice(null,[O,null]),mA=this.sessions.image_decode,{decoded_image:PA}=await z(mA,{generated_tokens:pA}),OA=PA.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),XA=[];for(const Be of OA){const Se=d.RawImage.fromTensor(Be);XA.push(Se)}return XA}}class mE extends wA{constructor({char_logits:D,bpe_logits:O,wp_logits:QA}){super(),this.char_logits=D,this.bpe_logits=O,this.wp_logits=QA}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class ME extends q{}class FE extends ME{async _call(D){return new mE(await super._call(D))}}class DC extends q{}class SE extends DC{}class NE extends DC{}class wC extends q{}class _E extends wC{}class RE extends wC{}class GE extends q{forward_params=["input_ids","attention_mask","position_ids","audio_values","past_key_values"]}class pC extends GE{_merge_input_ids_with_audio_features(D){const O=D.audio_features.dims.at(-1),QA=D.audio_features.view(-1,O);return x({audio_token_id:this.config.ignore_index??this.config.audio_token_id,...D,audio_features:QA})}}class kE extends pC{}class ko extends q{main_input_name="input_values";forward_params=["input_values"]}class LE extends wA{constructor({audio_codes:D}){super(),this.audio_codes=D}}class KE extends wA{constructor({audio_values:D}){super(),this.audio_values=D}}class UE extends ko{async encode(D){return new LE(await z(this.sessions.encoder_model,D))}async decode(D){return new KE(await z(this.sessions.decoder_model,D))}}class bE extends ko{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"encoder_model"})}}class JE extends ko{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"decoder_model"})}}class Lo extends q{main_input_name="input_values";forward_params=["input_values"]}class xE extends wA{constructor({audio_codes:D}){super(),this.audio_codes=D}}class TE extends wA{constructor({audio_values:D}){super(),this.audio_values=D}}class YE extends Lo{async encode(D){return new xE(await z(this.sessions.encoder_model,D))}async decode(D){return new TE(await z(this.sessions.decoder_model,D))}}class PE extends Lo{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"encoder_model"})}}class vE extends Lo{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"decoder_model"})}}class Ko extends q{main_input_name="input_values";forward_params=["input_values"]}class HE extends Ko{async encode(D){return await z(this.sessions.encoder_model,D)}async decode(D){return await z(this.sessions.decoder_model,D)}}class qE extends Ko{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"encoder_model"})}}class OE extends Ko{static async from_pretrained(D,O={}){return super.from_pretrained(D,{...O,model_file_name:O.model_file_name??"decoder_model"})}}class je{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(D,{progress_callback:O=null,config:QA=null,cache_dir:pA=null,local_files_only:mA=!1,revision:PA="main",model_file_name:OA=null,subfolder:XA="onnx",device:Be=null,dtype:Se=null,use_external_data_format:Le=null,session_options:Ue={}}={}){const we={progress_callback:O,config:QA,cache_dir:pA,local_files_only:mA,revision:PA,model_file_name:OA,subfolder:XA,device:Be,dtype:Se,use_external_data_format:Le,session_options:Ue};if(we.config=await I.AutoConfig.from_pretrained(D,we),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const Ve=we.config.model_type;for(const fe of this.MODEL_CLASS_MAPPINGS){let De=fe.get(Ve);if(!De){for(const Pe of fe.values())if(Pe[0]===Ve){De=Pe;break}if(!De)continue}return await De[1].from_pretrained(D,we)}if(this.BASE_IF_FAIL)return ul.has(Ve)||console.warn(`Unknown model class "${Ve}", attempting to construct from base class.`),await q.from_pretrained(D,we);throw Error(`Unsupported model type: ${Ve}`)}}const Z0=new Map([["bert",["BertModel",GA]],["neobert",["NeoBertModel",Ae]],["modernbert",["ModernBertModel",ee]],["nomic_bert",["NomicBertModel",qg]],["roformer",["RoFormerModel",rg]],["electra",["ElectraModel",gA]],["esm",["EsmModel",tI]],["convbert",["ConvBertModel",he]],["camembert",["CamembertModel",ae]],["deberta",["DebertaModel",Ag]],["deberta-v2",["DebertaV2Model",Lg]],["mpnet",["MPNetModel",se]],["albert",["AlbertModel",zA]],["distilbert",["DistilBertModel",yg]],["roberta",["RobertaModel",It]],["xlm",["XLMModel",eo]],["xlm-roberta",["XLMRobertaModel",oo]],["clap",["ClapModel",Xn]],["clip",["CLIPModel",Et]],["clipseg",["CLIPSegModel",Ki]],["chinese_clip",["ChineseCLIPModel",Do]],["siglip",["SiglipModel",ut]],["jina_clip",["JinaCLIPModel",Dt]],["mobilebert",["MobileBertModel",b]],["squeezebert",["SqueezeBertModel",H]],["wav2vec2",["Wav2Vec2Model",Qn]],["wav2vec2-bert",["Wav2Vec2BertModel",Fn]],["unispeech",["UniSpeechModel",Dn]],["unispeech-sat",["UniSpeechSatModel",fn]],["hubert",["HubertModel",_n]],["wavlm",["WavLMModel",kn]],["audio-spectrogram-transformer",["ASTModel",Ct]],["vits",["VitsModel",lC]],["pyannote",["PyAnnoteModel",cn]],["wespeaker-resnet",["WeSpeakerResNetModel",hn]],["detr",["DetrModel",VB]],["rt_detr",["RTDetrModel",ZB]],["rt_detr_v2",["RTDetrV2Model",AQ]],["rf_detr",["RFDetrModel",IQ]],["d_fine",["DFineModel",oQ]],["table-transformer",["TableTransformerModel",CQ]],["vit",["ViTModel",wB]],["ijepa",["IJepaModel",fB]],["pvt",["PvtModel",FB]],["vit_msn",["ViTMSNModel",RB]],["vit_mae",["ViTMAEModel",_B]],["groupvit",["GroupViTModel",LB]],["fastvit",["FastViTModel",KB]],["mobilevit",["MobileViTModel",xB]],["mobilevitv2",["MobileViTV2Model",YB]],["owlvit",["OwlViTModel",vB]],["owlv2",["Owlv2Model",qB]],["beit",["BeitModel",WB]],["deit",["DeiTModel",BQ]],["hiera",["HieraModel",nQ]],["convnext",["ConvNextModel",YQ]],["convnextv2",["ConvNextV2Model",vQ]],["dinov2",["Dinov2Model",qQ]],["dinov2_with_registers",["Dinov2WithRegistersModel",WQ]],["dinov3_vit",["DINOv3ViTModel",zQ]],["dinov3_convnext",["DINOv3ConvNextModel",ZQ]],["resnet",["ResNetModel",lQ]],["swin",["SwinModel",dQ]],["swin2sr",["Swin2SRModel",DQ]],["donut-swin",["DonutSwinModel",TQ]],["yolos",["YolosModel",en]],["dpt",["DPTModel",pQ]],["glpn",["GLPNModel",bQ]],["hifigan",["SpeechT5HifiGan",Pn]],["efficientnet",["EfficientNetModel",sE]],["decision_transformer",["DecisionTransformerModel",pE]],["patchtst",["PatchTSTForPrediction",SE]],["patchtsmixer",["PatchTSMixerForPrediction",_E]],["mobilenet_v1",["MobileNetV1Model",rE]],["mobilenet_v2",["MobileNetV2Model",QE]],["mobilenet_v3",["MobileNetV3Model",lE]],["mobilenet_v4",["MobileNetV4Model",uE]],["maskformer",["MaskFormerModel",KQ]],["mgp-str",["MgpstrForSceneTextRecognition",FE]],["style_text_to_speech_2",["StyleTextToSpeech2Model",xn]]]),X0=new Map([["t5",["T5Model",Re]],["longt5",["LongT5Model",sg]],["mt5",["MT5Model",oI]],["bart",["BartModel",mI]],["mbart",["MBartModel",rI]],["marian",["MarianModel",Cn]],["whisper",["WhisperModel",Co]],["m2m_100",["M2M100Model",an]],["blenderbot",["BlenderbotModel",Bg]],["blenderbot-small",["BlenderbotSmallModel",eI]]]),Ap=new Map([["mimi",["MimiModel",UE]],["dac",["DacModel",YE]],["snac",["SnacModel",HE]]]),ep=new Map([["bloom",["BloomModel",lB]],["jais",["JAISModel",ft]],["gpt2",["GPT2Model",pt]],["gptj",["GPTJModel",Ft]],["gpt_bigcode",["GPTBigCodeModel",K]],["gpt_neo",["GPTNeoModel",xi]],["gpt_neox",["GPTNeoXModel",mt]],["codegen",["CodeGenModel",lA]],["llama",["LlamaModel",te]],["arcee",["ArceeModel",Ug]],["lfm2",["Lfm2Model",Na]],["smollm3",["SmolLM3Model",Ra]],["exaone",["ExaoneModel",ba]],["olmo",["OlmoModel",Ya]],["olmo2",["Olmo2Model",va]],["mobilellm",["MobileLLMModel",xa]],["granite",["GraniteModel",qa]],["cohere",["CohereModel",Wa]],["gemma",["GemmaModel",Va]],["gemma2",["Gemma2Model",$a]],["vaultgemma",["VaultGemmaModel",Xa]],["gemma3_text",["Gemma3Model",eB]],["helium",["HeliumModel",ka]],["glm",["GlmModel",Ka]],["openelm",["OpenELMModel",IB]],["qwen2",["Qwen2Model",tB]],["qwen3",["Qwen3Model",sB]],["phi",["PhiModel",BB]],["phi3",["Phi3Model",nB]],["mpt",["MptModel",dB]],["opt",["OPTModel",hB]],["mistral",["MistralModel",qn]],["ernie4_5",["Ernie4_5_Model",Wn]],["starcoder2",["Starcoder2Model",Vn]],["falcon",["FalconModel",$n]],["stablelm",["StableLmModel",tE]],["modernbert-decoder",["ModernBertDecoderModel",pe]]]),fC=new Map([["speecht5",["SpeechT5ForSpeechToText",Tn]],["whisper",["WhisperForConditionalGeneration",Ni]],["lite-whisper",["LiteWhisperForConditionalGeneration",ro]],["moonshine",["MoonshineForConditionalGeneration",_i]]]),WE=new Map([["speecht5",["SpeechT5ForTextToSpeech",Yn]]]),jE=new Map([["vits",["VitsModel",lC]],["musicgen",["MusicgenForConditionalGeneration",hC]]]),VE=new Map([["bert",["BertForSequenceClassification",_A]],["neobert",["NeoBertForSequenceClassification",re]],["modernbert",["ModernBertForSequenceClassification",TA]],["roformer",["RoFormerForSequenceClassification",wg]],["electra",["ElectraForSequenceClassification",IA]],["esm",["EsmForSequenceClassification",l]],["convbert",["ConvBertForSequenceClassification",ze]],["camembert",["CamembertForSequenceClassification",Ie]],["deberta",["DebertaForSequenceClassification",Og]],["deberta-v2",["DebertaV2ForSequenceClassification",CI]],["mpnet",["MPNetForSequenceClassification",ve]],["albert",["AlbertForSequenceClassification",ge]],["distilbert",["DistilBertForSequenceClassification",cg]],["roberta",["RobertaForSequenceClassification",Zt]],["xlm",["XLMForSequenceClassification",Io]],["xlm-roberta",["XLMRobertaForSequenceClassification",tt]],["bart",["BartForSequenceClassification",Mg]],["mbart",["MBartForSequenceClassification",_g]],["mobilebert",["MobileBertForSequenceClassification",EA]],["squeezebert",["SqueezeBertForSequenceClassification",sA]]]),zE=new Map([["bert",["BertForTokenClassification",dA]],["neobert",["NeoBertForTokenClassification",$A]],["modernbert",["ModernBertForTokenClassification",ke]],["roformer",["RoFormerForTokenClassification",xI]],["electra",["ElectraForTokenClassification",aA]],["esm",["EsmForTokenClassification",f]],["convbert",["ConvBertForTokenClassification",Ne]],["camembert",["CamembertForTokenClassification",_e]],["deberta",["DebertaForTokenClassification",gg]],["deberta-v2",["DebertaV2ForTokenClassification",jg]],["mpnet",["MPNetForTokenClassification",Ze]],["distilbert",["DistilBertForTokenClassification",$e]],["roberta",["RobertaForTokenClassification",Xt]],["xlm",["XLMForTokenClassification",io]],["xlm-roberta",["XLMRobertaForTokenClassification",ot]]]),yC=new Map([["t5",["T5ForConditionalGeneration",ng]],["longt5",["LongT5ForConditionalGeneration",Eg]],["mt5",["MT5ForConditionalGeneration",dI]],["bart",["BartForConditionalGeneration",ag]],["mbart",["MBartForConditionalGeneration",MI]],["marian",["MarianMTModel",rn]],["m2m_100",["M2M100ForConditionalGeneration",Bn]],["blenderbot",["BlenderbotForConditionalGeneration",Fg]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",VI]]]),mC=new Map([["bloom",["BloomForCausalLM",cB]],["gpt2",["GPT2LMHeadModel",bi]],["jais",["JAISLMHeadModel",yt]],["gptj",["GPTJForCausalLM",n]],["gpt_bigcode",["GPTBigCodeForCausalLM",Y]],["gpt_neo",["GPTNeoForCausalLM",Ti]],["gpt_neox",["GPTNeoXForCausalLM",Mt]],["codegen",["CodeGenForCausalLM",KA]],["llama",["LlamaForCausalLM",Qe]],["llama4_text",["Llama4ForCausalLM",Te]],["arcee",["ArceeForCausalLM",qI]],["lfm2",["Lfm2ForCausalLM",_a]],["smollm3",["SmolLM3ForCausalLM",Ga]],["exaone",["ExaoneForCausalLM",Ja]],["olmo",["OlmoForCausalLM",Pa]],["olmo2",["Olmo2ForCausalLM",Ha]],["mobilellm",["MobileLLMForCausalLM",Ta]],["granite",["GraniteForCausalLM",Oa]],["cohere",["CohereForCausalLM",ja]],["gemma",["GemmaForCausalLM",za]],["gemma2",["Gemma2ForCausalLM",Za]],["vaultgemma",["VaultGemmaForCausalLM",AB]],["gemma3_text",["Gemma3ForCausalLM",gB]],["helium",["HeliumForCausalLM",La]],["glm",["GlmForCausalLM",Ua]],["openelm",["OpenELMForCausalLM",iB]],["qwen2",["Qwen2ForCausalLM",oB]],["qwen3",["Qwen3ForCausalLM",CB]],["phi",["PhiForCausalLM",QB]],["phi3",["Phi3ForCausalLM",EB]],["mpt",["MptForCausalLM",uB]],["opt",["OPTForCausalLM",DB]],["mbart",["MBartForCausalLM",uI]],["mistral",["MistralForCausalLM",On]],["ernie4_5",["Ernie4_5_ForCausalLM",jn]],["starcoder2",["Starcoder2ForCausalLM",zn]],["falcon",["FalconForCausalLM",Zn]],["trocr",["TrOCRForCausalLM",Hn]],["stablelm",["StableLmForCausalLM",oE]],["modernbert-decoder",["ModernBertDecoderForCausalLM",fg]],["phi3_v",["Phi3VForCausalLM",Ci]]]),gp=new Map([["multi_modality",["MultiModalityCausalLM",yE]]]),$E=new Map([["bert",["BertForMaskedLM",fA]],["neobert",["NeoBertForMaskedLM",SA]],["modernbert",["ModernBertForMaskedLM",oe]],["roformer",["RoFormerForMaskedLM",U]],["electra",["ElectraForMaskedLM",j]],["esm",["EsmForMaskedLM",yI]],["convbert",["ConvBertForMaskedLM",EI]],["camembert",["CamembertForMaskedLM",Ee]],["deberta",["DebertaForMaskedLM",lg]],["deberta-v2",["DebertaV2ForMaskedLM",sI]],["mpnet",["MPNetForMaskedLM",me]],["albert",["AlbertForMaskedLM",VA]],["distilbert",["DistilBertForMaskedLM",iI]],["roberta",["RobertaForMaskedLM",$t]],["xlm",["XLMWithLMHeadModel",go]],["xlm-roberta",["XLMRobertaForMaskedLM",it]],["mobilebert",["MobileBertForMaskedLM",eA]],["squeezebert",["SqueezeBertForMaskedLM",oA]]]),ZE=new Map([["bert",["BertForQuestionAnswering",YA]],["neobert",["NeoBertForQuestionAnswering",WA]],["roformer",["RoFormerForQuestionAnswering",fI]],["electra",["ElectraForQuestionAnswering",yA]],["convbert",["ConvBertForQuestionAnswering",lI]],["camembert",["CamembertForQuestionAnswering",be]],["deberta",["DebertaForQuestionAnswering",og]],["deberta-v2",["DebertaV2ForQuestionAnswering",cI]],["mpnet",["MPNetForQuestionAnswering",BA]],["albert",["AlbertForQuestionAnswering",ZA]],["distilbert",["DistilBertForQuestionAnswering",mg]],["roberta",["RobertaForQuestionAnswering",Ao]],["xlm",["XLMForQuestionAnswering",to]],["xlm-roberta",["XLMRobertaForQuestionAnswering",so]],["mobilebert",["MobileBertForQuestionAnswering",DA]],["squeezebert",["SqueezeBertForQuestionAnswering",hA]]]),MC=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Ri]],["idefics3",["Idefics3ForConditionalGeneration",ki]],["smolvlm",["SmolVLMForConditionalGeneration",nt]]]),XE=new Map([["llava",["LlavaForConditionalGeneration",Gi]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",ao]],["moondream1",["Moondream1ForConditionalGeneration",Bo]],["florence2",["Florence2ForConditionalGeneration",no]],["qwen2-vl",["Qwen2VLForConditionalGeneration",aB]],["idefics3",["Idefics3ForConditionalGeneration",ki]],["smolvlm",["SmolVLMForConditionalGeneration",nt]],["paligemma",["PaliGemmaForConditionalGeneration",lo]],["llava_qwen2",["LlavaQwen2ForCausalLM",co]],["gemma3n",["Gemma3nForConditionalGeneration",HI]]]),Al=new Map([["ultravox",["UltravoxModel",pC]],["voxtral",["VoxtralForConditionalGeneration",kE]]]),Ip=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Ri]]]),el=new Map([["vit",["ViTForImageClassification",pB]],["ijepa",["IJepaForImageClassification",yB]],["pvt",["PvtForImageClassification",SB]],["vit_msn",["ViTMSNForImageClassification",GB]],["fastvit",["FastViTForImageClassification",UB]],["mobilevit",["MobileViTForImageClassification",TB]],["mobilevitv2",["MobileViTV2ForImageClassification",PB]],["beit",["BeitForImageClassification",jB]],["deit",["DeiTForImageClassification",QQ]],["hiera",["HieraForImageClassification",EQ]],["convnext",["ConvNextForImageClassification",PQ]],["convnextv2",["ConvNextV2ForImageClassification",HQ]],["dinov2",["Dinov2ForImageClassification",OQ]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",jQ]],["resnet",["ResNetForImageClassification",cQ]],["swin",["SwinForImageClassification",uQ]],["segformer",["SegformerForImageClassification",IE]],["efficientnet",["EfficientNetForImageClassification",CE]],["mobilenet_v1",["MobileNetV1ForImageClassification",aE]],["mobilenet_v2",["MobileNetV2ForImageClassification",nE]],["mobilenet_v3",["MobileNetV3ForImageClassification",cE]],["mobilenet_v4",["MobileNetV4ForImageClassification",hE]]]),gl=new Map([["detr",["DetrForObjectDetection",zB]],["rt_detr",["RTDetrForObjectDetection",XB]],["rt_detr_v2",["RTDetrV2ForObjectDetection",eQ]],["rf_detr",["RFDetrForObjectDetection",iQ]],["d_fine",["DFineForObjectDetection",sQ]],["table-transformer",["TableTransformerForObjectDetection",rQ]],["yolos",["YolosForObjectDetection",gn]]]),Il=new Map([["owlvit",["OwlViTForObjectDetection",HB]],["owlv2",["Owlv2ForObjectDetection",OB]],["grounding-dino",["GroundingDinoForObjectDetection",An]]]),Hi=new Map([["detr",["DetrForSegmentation",vs]],["clipseg",["CLIPSegForImageSegmentation",wt]]]),il=new Map([["segformer",["SegformerForSemanticSegmentation",iE]],["sapiens",["SapiensForSemanticSegmentation",MQ]],["swin",["SwinForSemanticSegmentation",hQ]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",BE]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",EE]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",dE]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",DE]]]),tl=new Map([["detr",["DetrForSegmentation",vs]],["maskformer",["MaskFormerForInstanceSegmentation",UQ]]]),ol=new Map([["sam",["SamModel",on]]]),sl=new Map([["wav2vec2",["Wav2Vec2ForCTC",nn]],["wav2vec2-bert",["Wav2Vec2BertForCTC",Sn]],["unispeech",["UniSpeechForCTC",wn]],["unispeech-sat",["UniSpeechSatForCTC",yn]],["wavlm",["WavLMForCTC",Ln]],["hubert",["HubertForCTC",Rn]]]),Cl=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",En]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Nn]],["unispeech",["UniSpeechForSequenceClassification",pn]],["unispeech-sat",["UniSpeechSatForSequenceClassification",mn]],["wavlm",["WavLMForSequenceClassification",Kn]],["hubert",["HubertForSequenceClassification",Gn]],["audio-spectrogram-transformer",["ASTForAudioClassification",rt]]]),rl=new Map([["wavlm",["WavLMForXVector",Un]]]),al=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Mn]],["wavlm",["WavLMForAudioFrameClassification",bn]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",ln]],["pyannote",["PyAnnoteForAudioFrameClassification",dn]]]),Bl=new Map([["vitmatte",["VitMatteForImageMatting",JB]]]),ip=new Map([["patchtst",["PatchTSTForPrediction",NE]],["patchtsmixer",["PatchTSMixerForPrediction",RE]]]),Ql=new Map([["swin2sr",["Swin2SRForImageSuperResolution",wQ]]]),nl=new Map([["dpt",["DPTForDepthEstimation",fQ]],["depth_anything",["DepthAnythingForDepthEstimation",mQ]],["glpn",["GLPNForDepthEstimation",JQ]],["sapiens",["SapiensForDepthEstimation",FQ]],["depth_pro",["DepthProForDepthEstimation",_Q]],["metric3d",["Metric3DForDepthEstimation",GQ]],["metric3dv2",["Metric3Dv2ForDepthEstimation",LQ]]]),El=new Map([["sapiens",["SapiensForNormalEstimation",SQ]]]),ll=new Map([["vitpose",["VitPoseForPoseEstimation",MB]]]),cl=new Map([["clip",["CLIPVisionModelWithProjection",ct]],["siglip",["SiglipVisionModel",ri]],["jina_clip",["JinaCLIPVisionModel",aI]]]),dl=[[Z0,y.EncoderOnly],[X0,y.EncoderDecoder],[ep,y.DecoderOnly],[Ap,y.AutoEncoder],[VE,y.EncoderOnly],[zE,y.EncoderOnly],[yC,y.Seq2Seq],[fC,y.Seq2Seq],[mC,y.DecoderOnly],[gp,y.MultiModality],[$E,y.EncoderOnly],[ZE,y.EncoderOnly],[MC,y.Vision2Seq],[XE,y.ImageTextToText],[Al,y.AudioTextToText],[el,y.EncoderOnly],[Hi,y.EncoderOnly],[tl,y.EncoderOnly],[il,y.EncoderOnly],[Bl,y.EncoderOnly],[ip,y.EncoderOnly],[Ql,y.EncoderOnly],[nl,y.EncoderOnly],[El,y.EncoderOnly],[ll,y.EncoderOnly],[gl,y.EncoderOnly],[Il,y.EncoderOnly],[ol,y.MaskGeneration],[sl,y.EncoderOnly],[Cl,y.EncoderOnly],[WE,y.Seq2Seq],[jE,y.EncoderOnly],[rl,y.EncoderOnly],[al,y.EncoderOnly],[cl,y.EncoderOnly]];for(const[h,D]of dl)for(const[O,QA]of h.values())M.set(O,D),m.set(QA,O),F.set(O,QA);const tp=[["MusicgenForConditionalGeneration",hC,y.Musicgen],["Phi3VForCausalLM",Ci,y.Phi3V],["CLIPTextModelWithProjection",lt,y.EncoderOnly],["SiglipTextModel",ht,y.EncoderOnly],["JinaCLIPTextModel",Bi,y.EncoderOnly],["ClapTextModelWithProjection",AE,y.EncoderOnly],["ClapAudioModelWithProjection",eE,y.EncoderOnly],["DacEncoderModel",PE,y.EncoderOnly],["DacDecoderModel",vE,y.EncoderOnly],["MimiEncoderModel",bE,y.EncoderOnly],["MimiDecoderModel",JE,y.EncoderOnly],["SnacEncoderModel",qE,y.EncoderOnly],["SnacDecoderModel",OE,y.EncoderOnly],["Gemma3nForConditionalGeneration",HI,y.ImageAudioTextToText]];for(const[h,D,O]of tp)M.set(h,O),m.set(D,h),F.set(h,D);const ul=new Map([["modnet",Hi],["birefnet",Hi],["isnet",Hi],["ben",Hi]]);for(const[h,D]of ul.entries())D.set(h,["PreTrainedModel",q]),M.set(h,y.EncoderOnly),m.set(q,h),F.set(h,q);class op extends je{static MODEL_CLASS_MAPPINGS=dl.map(D=>D[0]);static BASE_IF_FAIL=!0}class sp extends je{static MODEL_CLASS_MAPPINGS=[VE]}class Cp extends je{static MODEL_CLASS_MAPPINGS=[zE]}class rp extends je{static MODEL_CLASS_MAPPINGS=[yC]}class ap extends je{static MODEL_CLASS_MAPPINGS=[fC]}class Bp extends je{static MODEL_CLASS_MAPPINGS=[WE]}class Qp extends je{static MODEL_CLASS_MAPPINGS=[jE]}class np extends je{static MODEL_CLASS_MAPPINGS=[mC]}class Ep extends je{static MODEL_CLASS_MAPPINGS=[$E]}class lp extends je{static MODEL_CLASS_MAPPINGS=[ZE]}class cp extends je{static MODEL_CLASS_MAPPINGS=[MC]}class dp extends je{static MODEL_CLASS_MAPPINGS=[el]}class up extends je{static MODEL_CLASS_MAPPINGS=[Hi]}class hp extends je{static MODEL_CLASS_MAPPINGS=[il]}class Dp extends je{static MODEL_CLASS_MAPPINGS=[tl]}class wp extends je{static MODEL_CLASS_MAPPINGS=[gl]}class pp extends je{static MODEL_CLASS_MAPPINGS=[Il]}class fp extends je{static MODEL_CLASS_MAPPINGS=[ol]}class yp extends je{static MODEL_CLASS_MAPPINGS=[sl]}class mp extends je{static MODEL_CLASS_MAPPINGS=[Cl]}class Mp extends je{static MODEL_CLASS_MAPPINGS=[rl]}class Fp extends je{static MODEL_CLASS_MAPPINGS=[al]}class Sp extends je{static MODEL_CLASS_MAPPINGS=[Ip]}class Np extends je{static MODEL_CLASS_MAPPINGS=[Bl]}class _p extends je{static MODEL_CLASS_MAPPINGS=[Ql]}class Rp extends je{static MODEL_CLASS_MAPPINGS=[nl]}class Gp extends je{static MODEL_CLASS_MAPPINGS=[El]}class kp extends je{static MODEL_CLASS_MAPPINGS=[ll]}class Lp extends je{static MODEL_CLASS_MAPPINGS=[cl]}class Kp extends je{static MODEL_CLASS_MAPPINGS=[XE]}class Up extends je{static MODEL_CLASS_MAPPINGS=[Al]}class bp extends wA{constructor({logits:D,past_key_values:O,encoder_outputs:QA,decoder_attentions:pA=null,cross_attentions:mA=null}){super(),this.logits=D,this.past_key_values=O,this.encoder_outputs=QA,this.decoder_attentions=pA,this.cross_attentions=mA}}class Fe extends wA{constructor({logits:D,...O}){super(),this.logits=D;const QA=Object.values(O);QA.length>0&&(this.attentions=QA)}}class hl extends wA{constructor({logits:D,embeddings:O}){super(),this.logits=D,this.embeddings=O}}class bg extends wA{constructor({logits:D}){super(),this.logits=D}}class Pg extends wA{constructor({logits:D}){super(),this.logits=D}}class Zg extends wA{constructor({start_logits:D,end_logits:O}){super(),this.start_logits=D,this.end_logits=O}}class Qi extends wA{constructor({logits:D}){super(),this.logits=D}}class Jp extends wA{constructor({logits:D,past_key_values:O}){super(),this.logits=D,this.past_key_values=O}}class Dl extends wA{constructor({alphas:D}){super(),this.alphas=D}}class wl extends wA{constructor({waveform:D,spectrogram:O}){super(),this.waveform=D,this.spectrogram=O}}}),"./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 C=this.config.sampling_rate,r=(0,i.mel_filter_bank)(257,this.config.num_mel_bins,20,Math.floor(C/2),C,null,"kaldi",!0);this.mel_filters=r,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,C){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:C,transpose:!0})}async _call(o){(0,I.validate_audio_inputs)(o,"ASTFeatureExtractor");const C=await this._extract_fbank_features(o,this.config.max_length);if(this.config.do_normalize){const r=this.std*2,Q=C.data;for(let B=0;B<Q.length;++B)Q[B]=(Q[B]-this.mean)/r}return{input_values:C.unsqueeze_(0)}}}}),"./src/models/auto/feature_extraction_auto.js":((A,g,e)=>{e.r(g),e.d(g,{AutoFeatureExtractor:()=>s});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 s{static async from_pretrained(C,r={}){const Q=await(0,i.getModelJSON)(C,I.FEATURE_EXTRACTOR_NAME,!0,r),B=Q.feature_extractor_type,a=t[B];if(!a)throw new Error(`Unknown feature_extractor_type: '${B}'. Please report this at ${I.GITHUB_ISSUE_URL}.`);return new a(Q)}}}),"./src/models/auto/image_processing_auto.js":((A,g,e)=>{e.r(g),e.d(g,{AutoImageProcessor:()=>o});var I=e("./src/utils/constants.js"),i=e("./src/utils/hub.js"),t=e("./src/base/image_processors_utils.js"),s=e("./src/models/image_processors.js");class o{static async from_pretrained(r,Q={}){const B=await(0,i.getModelJSON)(r,I.IMAGE_PROCESSOR_NAME,!0,Q),a=B.image_processor_type??B.feature_extractor_type;let d=s[a?.replace(/Fast$/,"")];return d||(a!==void 0&&console.warn(`Image processor type '${a}' not found, assuming base ImageProcessor. Please report this at ${I.GITHUB_ISSUE_URL}.`),d=t.ImageProcessor),new d(B)}}}),"./src/models/auto/processing_auto.js":((A,g,e)=>{e.r(g),e.d(g,{AutoProcessor:()=>r});var I=e("./src/utils/constants.js"),i=e("./src/utils/hub.js"),t=e("./src/base/processing_utils.js"),s=e("./src/models/processors.js"),o=e("./src/models/image_processors.js"),C=e("./src/models/feature_extractors.js");class r{static async from_pretrained(B,a={}){const d=await(0,i.getModelJSON)(B,I.IMAGE_PROCESSOR_NAME,!0,a),{image_processor_type:c,feature_extractor_type:p,processor_class:L}=d;if(L&&s[L])return s[L].from_pretrained(B,a);if(!c&&!p)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const w={};if(c){const _=o[c.replace(/Fast$/,"")];if(!_)throw new Error(`Unknown image_processor_type: '${c}'.`);w.image_processor=new _(d)}if(p){const _=o[p];if(_)w.image_processor=new _(d);else{const y=C[p];if(!y)throw new Error(`Unknown feature_extractor_type: '${p}'.`);w.feature_extractor=new y(d)}}const u={};return new t.Processor(u,w,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,C,r,Q){let B;const a=o.length-C;if(a>0)if(r==="rand_trunc"){const d=Math.floor(Math.random()*(a+1));o=o.subarray(d,d+C),B=await this._extract_fbank_features(o,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${r}" not implemented`);else{if(a<0){let d=new Float64Array(C);if(d.set(o),Q==="repeat")for(let c=o.length;c<C;c+=o.length)d.set(o.subarray(0,Math.min(o.length,C-c)),c);else if(Q==="repeatpad")for(let c=o.length;c<-a;c+=o.length)d.set(o,c);o=d}if(r==="fusion")throw new Error(`Truncation strategy "${r}" not implemented`);B=await this._extract_fbank_features(o,this.mel_filters_slaney,this.config.nb_max_samples)}return B.unsqueeze_(0)}async _extract_fbank_features(o,C,r=null){return(0,i.spectrogram)(o,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:C,log_mel:"dB",max_num_frames:r,do_pad:!1,transpose:!0})}async _call(o,{max_length:C=null}={}){return(0,I.validate_audio_inputs)(o,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(o,C??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 C=this.size?.shortest_edge;if(C===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(C<384){const r=Math.floor(C/this.crop_pct),[Q,B]=this.get_resize_output_image_size(o,{shortest_edge:r});o=await o.resize(Q,B,{resample:this.resample}),o=await o.center_crop(C,C)}else o=await o.resize(C,C,{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:()=>s,DetrImageProcessor:()=>t});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");class t extends I.ImageProcessor{async _call(C){const r=await super._call(C),Q=[r.pixel_values.dims[0],64,64],B=(0,i.full)(Q,1n);return{...r,pixel_mask:B}}post_process_object_detection(...C){return(0,I.post_process_object_detection)(...C)}post_process_panoptic_segmentation(...C){return(0,I.post_process_panoptic_segmentation)(...C)}post_process_instance_segmentation(...C){return(0,I.post_process_instance_segmentation)(...C)}}class s extends t{}}),"./src/models/dinov3_vit/image_processing_dinov3_vit.js":((A,g,e)=>{e.r(g),e.d(g,{DINOv3ViTImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{}}),"./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,C,r,Q={}){const[B,a,d]=C;let c=this.image_mean;Array.isArray(this.image_mean)||(c=new Array(d).fill(c));let p=this.image_std;Array.isArray(p)||(p=new Array(d).fill(c));const L=c.map((w,u)=>-w/p[u]);return super.pad_image(o,C,r,{center:!0,constant_values:L,...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(s){super(s),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 C=this.config.feature_size;if(o.length%C!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${C}).`);const r=[1,C,o.length/C];return{input_values:new i.Tensor("float32",o,r)}}}}),"./src/models/feature_extractors.js":((A,g,e)=>{e.r(g),e.d(g,{ASTFeatureExtractor:()=>I.ASTFeatureExtractor,ClapFeatureExtractor:()=>t.ClapFeatureExtractor,DacFeatureExtractor:()=>s.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,Gemma3nAudioFeatureExtractor:()=>o.Gemma3nAudioFeatureExtractor,ImageFeatureExtractor:()=>L.ImageProcessor,MoonshineFeatureExtractor:()=>C.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>r.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>Q.SeamlessM4TFeatureExtractor,SnacFeatureExtractor:()=>B.SnacFeatureExtractor,SpeechT5FeatureExtractor:()=>a.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>d.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>c.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>p.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"),s=e("./src/models/dac/feature_extraction_dac.js"),o=e("./src/models/gemma3n/feature_extraction_gemma3n.js"),C=e("./src/models/moonshine/feature_extraction_moonshine.js"),r=e("./src/models/pyannote/feature_extraction_pyannote.js"),Q=e("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),B=e("./src/models/snac/feature_extraction_snac.js"),a=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"),p=e("./src/models/whisper/feature_extraction_whisper.js"),L=e("./src/base/image_processors_utils.js")}),"./src/models/florence2/processing_florence2.js":((A,g,e)=>{e.r(g),e.d(g,{Florence2Processor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class s extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;constructor(C,r,Q){super(C,r,Q);const{tasks_answer_post_processing_type:B,task_prompts_without_inputs:a,task_prompts_with_input:d}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(B??{})),this.task_prompts_without_inputs=new Map(Object.entries(a??{})),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(C){typeof C=="string"&&(C=[C]);const r=[];for(const Q of C)if(this.task_prompts_without_inputs.has(Q))r.push(this.task_prompts_without_inputs.get(Q));else{for(const[B,a]of this.task_prompts_with_input)if(Q.includes(B)){r.push(a.replaceAll("{input}",Q).replaceAll(B,""));break}r.length!==C.length&&r.push(Q)}return r}post_process_generation(C,r,Q){const B=this.tasks_answer_post_processing_type.get(r)??"pure_text";C=C.replaceAll("<s>","").replaceAll("</s>","");let a;switch(B){case"pure_text":a=C;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const d=B==="ocr"?"quad_boxes":"bboxes",c=C.matchAll(this.regexes[d]),p=[],L=[];for(const[w,u,..._]of c)p.push(u?u.trim():p.at(-1)??""),L.push(_.map((y,M)=>(Number(y)+.5)/this.size_per_bin*Q[M%2]));a={labels:p,[d]:L};break;default:throw new Error(`Task "${r}" (of type "${B}") not yet implemented.`)}return{[r]:a}}async _call(C,r=null,Q={}){if(!C&&!r)throw new Error("Either text or images must be provided");const B=await this.image_processor(C,Q),a=r?this.tokenizer(this.construct_prompts(r),Q):{};return{...B,...a}}}}),"./src/models/gemma3n/feature_extraction_gemma3n.js":((A,g,e)=>{e.r(g),e.d(g,{Gemma3nAudioFeatureExtractor:()=>s});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js"),t=e("./src/utils/audio.js");class s extends I.FeatureExtractor{constructor(C){super(C);const{fft_length:r,feature_size:Q,min_frequency:B,max_frequency:a,sampling_rate:d,frame_length:c}=this.config,p=(0,t.mel_filter_bank)(Math.floor(1+r/2),Q,B,a,d,null,"htk",!1);this.mel_filters=p,this.window=(0,t.window_function)(c,"hann")}async _extract_fbank_features(C,r){return(0,t.spectrogram)(C,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(C,{max_length:r=48e4,truncation:Q=!0,padding:B=!0,pad_to_multiple_of:a=128}={}){if((0,I.validate_audio_inputs)(C,"Gemma3nAudioFeatureExtractor"),Q&&C.length>r&&(C=C.slice(0,r)),B&&C.length%a!==0){const p=a-C.length%a,L=new Float64Array(C.length+p);L.set(C),this.config.padding_value!==0&&L.fill(this.config.padding_value,C.length),C=L}const d=await this._extract_fbank_features(C,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"),s=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=s.AutoTokenizer;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(r,Q,B){super(r,Q,B),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;const{audio_token_id:a,boa_token:d,audio_token:c,eoa_token:p,image_token_id:L,boi_token:w,image_token:u,eoi_token:_}=this.tokenizer.config;this.audio_token_id=a,this.boa_token=d,this.audio_token=c;const y=c.repeat(this.audio_seq_length);this.full_audio_sequence=`

${d}${y}${p}

`,this.image_token_id=L,this.boi_token=w,this.image_token=u;const M=u.repeat(this.image_seq_length);this.full_image_sequence=`

${w}${M}${_}

`}async _call(r,Q=null,B=null,a={}){typeof r=="string"&&(r=[r]);let d;B&&(d=await this.feature_extractor(B,a),r=r.map(L=>L.replaceAll(this.audio_token,this.full_audio_sequence)));let c;return Q&&(c=await this.image_processor(Q,a),r=r.map(L=>L.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(r,a),...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 C=await super._call(o),r=C.pixel_values.dims,Q=(0,i.ones)([r[0],r[2],r[3]]);return{...C,pixel_mask:Q}}}}),"./src/models/grounding_dino/processing_grounding_dino.js":((A,g,e)=>{e.r(g),e.d(g,{GroundingDinoProcessor:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),s=e("./src/base/image_processors_utils.js");function o(r,Q){const a=r.dims.at(-1)-1,d=r.tolist();d.fill(!1,0,1),d.fill(!1,a);const c=Q.tolist();return d.map((p,L)=>p?L:null).filter(p=>p!==null).map(p=>c[p])}class C extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;async _call(Q,B,a={}){const d=Q?await this.image_processor(Q,a):{};return{...B?this.tokenizer(B,a):{},...d}}post_process_grounded_object_detection(Q,B,{box_threshold:a=.25,text_threshold:d=.25,target_sizes:c=null}={}){const{logits:p,pred_boxes:L}=Q,w=p.dims[0];if(c!==null&&c.length!==w)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const u=p.dims.at(1),_=p.sigmoid(),y=_.max(-1).tolist(),M=L.tolist().map(m=>m.map(G=>(0,s.center_to_corners_format)(G))),F=[];for(let m=0;m<w;++m){const G=c!==null?c[m]:null;G!==null&&(M[m]=M[m].map(P=>P.map((tA,AA)=>tA*G[(AA+1)%2])));const T=y[m],J=[],Z=[],z=[];for(let P=0;P<u;++P){const tA=T[P];if(tA<=a)continue;const AA=M[m][P],iA=_[m][P];J.push(tA),z.push(AA);const rA=o(iA.gt(d),B[m]);Z.push(rA)}F.push({scores:J,boxes:z,labels:this.batch_decode(Z)})}return F}}}),"./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,C){let[r,Q]=o.dims.slice(-2);const B=Q/r;return Q>=r?(Q=Math.ceil(Q/C)*C,r=Math.floor(Q/B),r=Math.ceil(r/C)*C):(r=Math.ceil(r/C)*C,Q=Math.floor(r*B),Q=Math.ceil(Q/C)*C),{height:r,width:Q}}async _call(o,{do_image_splitting:C=null,return_row_col_info:r=!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 B=[],a=[],d=[];const c=[],p=[];for(const m of Q){let G=await Promise.all(m.map(Z=>this.preprocess(Z)));c.push(...G.map(Z=>Z.original_size)),p.push(...G.map(Z=>Z.reshaped_input_size)),G.forEach(Z=>Z.pixel_values.unsqueeze_(0));const{longest_edge:T}=this.max_image_size;let J;if(C??this.do_image_splitting){let Z=new Array(G.length),z=new Array(G.length);J=await Promise.all(G.map(async(P,tA)=>{const AA=this.get_resize_for_vision_encoder(P.pixel_values,T),iA=await(0,i.interpolate_4d)(P.pixel_values,{size:[AA.height,AA.width]}),{frames:rA,num_splits_h:CA,num_splits_w:cA}=await this.split_image(iA,this.max_image_size);return Z[tA]=CA,z[tA]=cA,(0,i.cat)(rA,0)})),a.push(Z),d.push(z)}else{const Z=[T,T];J=await Promise.all(G.map(z=>(0,i.interpolate_4d)(z.pixel_values,{size:Z}))),a.push(new Array(G.length).fill(0)),d.push(new Array(G.length).fill(0))}B.push((0,i.cat)(J,0))}const L=B.length,[w,u,_,y]=B[0].dims;let M,F;if(L===1)M=B[0].unsqueeze_(0),F=(0,i.full)([L,w,_,y],!0);else{const m=Math.max(...B.map(J=>J.dims.at(0)));F=(0,i.full)([L,m,_,y],!0);const G=F.data,T=m*_*y;for(let J=0;J<L;++J){const Z=B[J].dims[0];if(Z<m){B[J]=(0,i.cat)([B[J],(0,i.full)([m-Z,u,_,y],0)],0);const z=J*T+Z*_*y,P=(J+1)*T;G.fill(!1,z,P)}}M=(0,i.stack)(B,0)}return{pixel_values:M,pixel_attention_mask:F,original_sizes:c,reshaped_input_sizes:p,...r?{rows:a,cols:d}:{}}}async split_image(o,{longest_edge:C}){const r=C,Q=C,B=[],[a,d]=o.dims.slice(-2);let c=0,p=0;if(a>r||d>Q){c=Math.ceil(a/r),p=Math.ceil(d/Q);const L=Math.ceil(a/c),w=Math.ceil(d/p);for(let y=0;y<c;++y)for(let M=0;M<p;++M){let F,m,G,T;y===c-1?(m=a-L,T=a):(m=y*L,T=(y+1)*L),M===p-1?(F=d-w,G=d):(F=M*w,G=(M+1)*w);const J=[m,F],Z=[T,G],z=await(0,i.slice)(o,J,Z,[2,3]);B.push(z)}const u=r,_=Q;(a!==u||d!==_)&&(o=await(0,i.interpolate_4d)(o,{size:[u,_]}))}return B.push(o),{frames:B,num_splits_h:c,num_splits_w:p}}}}),"./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 s=e("./src/utils/core.js");function o(B,a,d,c,p,L){let w="";for(let u=0;u<a;++u){for(let _=0;_<d;++_)w+=c+`<row_${u+1}_col_${_+1}>`+p.repeat(B);w+=`
`}return w+=`
${c}${L}`+p.repeat(B)+`${c}`,w}function C(B,a,d,c){return`${a}${c}`+d.repeat(B)+`${a}`}function r(B,a,d,c,p,L){return B===0&&a===0?C(d,c,p,L):o(d,B,a,c,p,L)}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(a,d=null,c={}){c.return_row_col_info??=!0;let p;d&&(p=await this.image_processor(d,c)),Array.isArray(a)||(a=[a]);const L=p.rows??[new Array(a.length).fill(0)],w=p.cols??[new Array(a.length).fill(0)],u=this.config.image_seq_len,_=[],y=[];for(let F=0;F<a.length;++F){const m=a[F],G=L[F],T=w[F];_.push((0,s.count)(m,this.image_token));const J=G.map((P,tA)=>r(P,T[tA],u,this.fake_image_token,this.image_token,this.global_img_token)),Z=m.split(this.image_token);if(Z.length===0)throw new Error("The image token should be present in the text.");let z=Z[0];for(let P=0;P<J.length;++P)z+=J[P]+Z[P+1];y.push(z)}return{...this.tokenizer(y),...p}}}}),"./src/models/image_processors.js":((A,g,e)=>{e.r(g),e.d(g,{BeitFeatureExtractor:()=>I.BeitFeatureExtractor,BitImageProcessor:()=>i.BitImageProcessor,CLIPFeatureExtractor:()=>s.CLIPFeatureExtractor,CLIPImageProcessor:()=>s.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>t.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>o.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>o.ConvNextImageProcessor,DINOv3ViTImageProcessor:()=>Q.DINOv3ViTImageProcessor,DPTFeatureExtractor:()=>a.DPTFeatureExtractor,DPTImageProcessor:()=>a.DPTImageProcessor,DeiTFeatureExtractor:()=>C.DeiTFeatureExtractor,DeiTImageProcessor:()=>C.DeiTImageProcessor,DetrFeatureExtractor:()=>r.DetrFeatureExtractor,DetrImageProcessor:()=>r.DetrImageProcessor,DonutFeatureExtractor:()=>B.DonutFeatureExtractor,DonutImageProcessor:()=>B.DonutImageProcessor,EfficientNetImageProcessor:()=>d.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>c.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>p.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>L.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>u.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>_.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>y.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>M.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>M.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>F.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>F.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>m.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>m.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>G.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>G.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>T.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>T.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>J.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>J.MobileViTImageProcessor,NougatImageProcessor:()=>Z.NougatImageProcessor,OwlViTFeatureExtractor:()=>P.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>P.OwlViTImageProcessor,Owlv2ImageProcessor:()=>z.Owlv2ImageProcessor,Phi3VImageProcessor:()=>tA.Phi3VImageProcessor,PvtImageProcessor:()=>AA.PvtImageProcessor,Qwen2VLImageProcessor:()=>iA.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>rA.RTDetrImageProcessor,SamImageProcessor:()=>CA.SamImageProcessor,SegformerFeatureExtractor:()=>cA.SegformerFeatureExtractor,SegformerImageProcessor:()=>cA.SegformerImageProcessor,SiglipImageProcessor:()=>uA.SiglipImageProcessor,SmolVLMImageProcessor:()=>v.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>x.Swin2SRImageProcessor,VLMImageProcessor:()=>w.VLMImageProcessor,ViTFeatureExtractor:()=>$.ViTFeatureExtractor,ViTImageProcessor:()=>$.ViTImageProcessor,VitMatteImageProcessor:()=>W.VitMatteImageProcessor,VitPoseImageProcessor:()=>nA.VitPoseImageProcessor,YolosFeatureExtractor:()=>xA.YolosFeatureExtractor,YolosImageProcessor:()=>xA.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"),s=e("./src/models/clip/image_processing_clip.js"),o=e("./src/models/convnext/image_processing_convnext.js"),C=e("./src/models/deit/image_processing_deit.js"),r=e("./src/models/detr/image_processing_detr.js"),Q=e("./src/models/dinov3_vit/image_processing_dinov3_vit.js"),B=e("./src/models/donut/image_processing_donut.js"),a=e("./src/models/dpt/image_processing_dpt.js"),d=e("./src/models/efficientnet/image_processing_efficientnet.js"),c=e("./src/models/glpn/image_processing_glpn.js"),p=e("./src/models/grounding_dino/image_processing_grounding_dino.js"),L=e("./src/models/idefics3/image_processing_idefics3.js"),w=e("./src/models/janus/image_processing_janus.js"),u=e("./src/models/jina_clip/image_processing_jina_clip.js"),_=e("./src/models/llava_onevision/image_processing_llava_onevision.js"),y=e("./src/models/mask2former/image_processing_mask2former.js"),M=e("./src/models/maskformer/image_processing_maskformer.js"),F=e("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),m=e("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),G=e("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),T=e("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),J=e("./src/models/mobilevit/image_processing_mobilevit.js"),Z=e("./src/models/nougat/image_processing_nougat.js"),z=e("./src/models/owlv2/image_processing_owlv2.js"),P=e("./src/models/owlvit/image_processing_owlvit.js"),tA=e("./src/models/phi3_v/image_processing_phi3_v.js"),AA=e("./src/models/pvt/image_processing_pvt.js"),iA=e("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),rA=e("./src/models/rt_detr/image_processing_rt_detr.js"),CA=e("./src/models/sam/image_processing_sam.js"),cA=e("./src/models/segformer/image_processing_segformer.js"),uA=e("./src/models/siglip/image_processing_siglip.js"),v=e("./src/models/smolvlm/image_processing_smolvlm.js"),x=e("./src/models/swin2sr/image_processing_swin2sr.js"),$=e("./src/models/vit/image_processing_vit.js"),W=e("./src/models/vitmatte/image_processing_vitmatte.js"),nA=e("./src/models/vitpose/image_processing_vitpose.js"),xA=e("./src/models/yolos/image_processing_yolos.js")}),"./src/models/janus/image_processing_janus.js":((A,g,e)=>{e.r(g),e.d(g,{VLMImageProcessor:()=>i});var I=e("./src/base/image_processors_utils.js");class i extends I.ImageProcessor{constructor(s){super({do_pad:!0,pad_size:{width:s.image_size,height:s.image_size},...s}),this.constant_values=this.config.background_color.map(o=>o*this.rescale_factor)}pad_image(s,o,C,r){return super.pad_image(s,o,C,{constant_values:this.constant_values,center:!0,...r})}}}),"./src/models/janus/processing_janus.js":((A,g,e)=>{e.r(g),e.d(g,{VLChatProcessor:()=>r});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),s=e("./src/utils/core.js"),o=e("./src/utils/tensor.js"),C=e("./src/utils/image.js");class r extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;static uses_processor_config=!0;constructor(B,a,d){super(B,a,d),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(B,{images:a=null,chat_template:d="default"}={}){a?Array.isArray(a)||(a=[a]):a=await Promise.all(B.filter(J=>J.images).flatMap(J=>J.images).map(J=>C.RawImage.read(J)));const c=this.tokenizer,p=c.apply_chat_template(B,{tokenize:!1,add_generation_prompt:!0,chat_template:d}),L=J=>c.encode(J,{add_special_tokens:!1}),w=p.split(this.image_tag),u=w.length-1;if(a.length!==u)throw new Error(`Number of images provided (${a.length}) does not match number of "${this.image_tag}" image tags (${u})`);const[_,y,M]=c.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let F=L(w[0]),m=new Array(F.length).fill(!1);for(let J=1;J<w.length;++J){const Z=new Array(this.num_image_tokens).fill(_),z=L(w[J]);F=(0,s.mergeArrays)(F,[y],Z,[M],z);const P=new Array(this.num_image_tokens).fill(!0);m=(0,s.mergeArrays)(m,[!1],P,[!1],new Array(z.length).fill(!1))}const G=[1,F.length],T={input_ids:new o.Tensor("int64",F,G),attention_mask:new o.Tensor("int64",new Array(F.length).fill(1),G),images_seq_mask:new o.Tensor("bool",m,G),images_emb_mask:new o.Tensor("bool",new Array(u*this.num_image_tokens).fill(!0),[1,u,this.num_image_tokens])};if(a&&a.length>0){const J=await this.image_processor(a);return J.pixel_values.unsqueeze_(0),{...T,...J}}return T}}}),"./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(s){const{resize_mode:o,fill_color:C,interpolation:r,size:Q,...B}=s,a=o==="squash"?{width:Q,height:Q}:o==="shortest"?{shortest_edge:Q}:{longest_edge:Q},d=r==="bicubic"?3:2;super({...B,size:a,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:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class s extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;async _call(C=null,r=null,Q={}){if(!C&&!r)throw new Error("Either text or images must be provided");const B=C?this.tokenizer(C,Q):{},a=r?await this.image_processor(r,Q):{};return{...B,...a}}}}),"./src/models/llava/processing_llava.js":((A,g,e)=>{e.r(g),e.d(g,{LlavaProcessor:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class s extends I.Processor{static tokenizer_class=t.AutoTokenizer;static image_processor_class=i.AutoImageProcessor;static uses_processor_config=!0;async _call(C,r=null,Q={}){const B=await this.image_processor(C,Q);if(r){const[d,c]=B.pixel_values.dims.slice(-2),{image_token:p,patch_size:L,num_additional_image_tokens:w}=this.config,u=Math.floor(d/L)*Math.floor(c/L)+w;r=structuredClone(r),Array.isArray(r)||(r=[r]);for(let _=0;_<r.length;++_)r[_]=r[_].replace(p,p.repeat(u))}const a=r?this.tokenizer(r,Q):{};return{...B,...a}}}}),"./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:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js"),s=e("./src/utils/maths.js");const o={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class C 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,B){if(!o.hasOwnProperty(B))throw new Error(`Format ${B} is not supported.`);const[a,d]=o[B],c=this[a].bind(this),[p,L]=Q.dims,w=[],u=[],_=Q.tolist();for(let M=0;M<p;++M){const F=_[M],m=[],G=[];for(let J=1;J<L;++J){const[Z,z]=(0,s.max)((0,s.softmax)(F[J]));if(G.push(Z),z==d)break;m.push(z)}const T=G.length>0?G.reduce((J,Z)=>J*Z,1):0;u.push(m),w.push(T)}return[c(u),w]}char_decode(Q){return this.char_tokenizer.batch_decode(Q).map(B=>B.replaceAll(" ",""))}bpe_decode(Q){return this.bpe_tokenizer.batch_decode(Q)}wp_decode(Q){return this.wp_tokenizer.batch_decode(Q).map(B=>B.replaceAll(" ",""))}batch_decode([Q,B,a]){const[d,c]=this._decode_helper(Q,"char"),[p,L]=this._decode_helper(B,"bpe"),[w,u]=this._decode_helper(a,"wp"),_=[],y=[];for(let M=0;M<d.length;++M){const[F,m]=(0,s.max)([c[M],L[M],u[M]]);_.push([d[M],p[M],w[M]][m]),y.push(F)}return{generated_text:_,scores:y,char_preds:d,bpe_preds:p,wp_preds:w}}static async from_pretrained(...Q){const B=await super.from_pretrained(...Q),a=await t.AutoTokenizer.from_pretrained("Xenova/gpt2"),d=await t.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return B.components={image_processor:B.image_processor,char_tokenizer:B.tokenizer,bpe_tokenizer:a,wp_tokenizer:d},B}async _call(Q,B=null){const a=await this.image_processor(Q);return B&&(a.labels=this.tokenizer(B).input_ids),a}}}),"./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 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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:()=>s});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");class s 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:()=>C});var I=e("./src/base/processing_utils.js"),i=e("./src/models/auto/image_processing_auto.js"),t=e("./src/tokenizers.js");const s="<image>";function o(r,Q,B,a,d){return`${a.repeat(B*d)}${Q}${r}
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For this call, we will infer how many images each text has and add special tokens."),p=B.map(u=>o(u,d,c,s,Q.length)));const L=this.tokenizer(p,a);return{...await this.image_processor(Q,a),...L}}}}),"./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,s=[2,3],{ceil:o,floor:C,sqrt:r}=Math;class Q extends I.ImageProcessor{constructor(a){super({...a,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0}),this._num_crops=a.num_crops}calc_num_image_tokens_from_image_size(a,d){const{num_img_tokens:c}=this.config;return C((C(d/t)*C(a/t)+1)*c+1+(C(d/t)+1)*r(c))}get_resize_output_image_size(a,d){const c=this._num_crops,[p,L]=a.size;let w=p/L,u=1;for(;u*Math.ceil(u/w)<=c;)u+=1;u-=1;const _=Math.floor(u*336),y=Math.floor(_/w);return[_,y]}pad_image(a,d,c,p={}){const[L,w]=d,u=t*o(L/t),_=t*o(w/t),y=[1,1,1].map((M,F)=>(M-this.image_mean[F])/this.image_std[F]);return super.pad_image(a,d,{width:_,height:u},{center:!0,constant_values:y,...p})}async _call(a,{num_crops:d=null}={}){if(this._num_crops=d??=this.config.num_crops,d<4||r(d)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(a)||(a=[a]);const c=a.length,p=await Promise.all(a.map(m=>this.preprocess(m))),L=p.map(m=>m.original_size),w=p.map(m=>m.reshaped_input_size),u=[];for(const{pixel_values:m}of p){m.unsqueeze_(0);const[G,T]=m.dims.slice(-2),J=await(0,i.interpolate_4d)(m,{size:[t,t],mode:"bicubic"});if(d>0){const Z=[],z=r(d),P=C(T/z),tA=C(G/z);for(let iA=0;iA<z;++iA)for(let rA=0;rA<z;++rA){let CA,cA,uA,v;iA===z-1?(cA=G-tA,v=G):(cA=iA*tA,v=(iA+1)*tA),rA===z-1?(CA=T-P,uA=T):(CA=rA*P,uA=(rA+1)*P);const x=[cA,CA],$=[v,uA],W=await(0,i.slice)(m,x,$,s);Z.push(W)}const AA=await(0,i.interpolate_4d)((0,i.cat)(Z,0),{size:[t,t],mode:"bicubic"});u.push((0,i.cat)([J,AA],0))}else u.push(J)}const _=(0,i.stack)(u,0),y=w.map(m=>m.map(G=>t*o(G/t))),M=new i.Tensor("int64",y.flat(),[c,2]),F=y.map(([m,G])=>this.calc_num_image_tokens_from_image_size(G,m));return{pixel_values:_,original_sizes:L,reshaped_input_sizes:w,image_sizes:M,num_img_tokens:F}}}}),"./src/models/phi3_v/processing_phi3_v.js":((A,g,e)=>{e.r(g),e.d(g,{Phi3VProcessor:()=>C});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 s="<|image|>",o=/<\|image_\d+\|>/g;class C extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;async _call(Q,B=null,{padding:a=!0,truncation:d=!0,num_crops:c=null}={}){Array.isArray(Q)||(Q=[Q]);let p,L;if(B){L=await this.image_processor(B,{num_crops:c});const{num_img_tokens:w}=L,u=Q.map((y,M)=>y.split(o).join(s.repeat(w[M])));p=this.tokenizer(u,{padding:a,truncation:d});const _=this.tokenizer.model.convert_tokens_to_ids([s])[0];p.input_ids.map_(y=>y==_?-y:y)}else p=this.tokenizer(Q);return{...p,...L}}}}),"./src/models/processors.js":((A,g,e)=>{e.r(g),e.d(g,{Florence2Processor:()=>I.Florence2Processor,Gemma3nProcessor:()=>i.Gemma3nProcessor,GroundingDinoProcessor:()=>t.GroundingDinoProcessor,Idefics3Processor:()=>s.Idefics3Processor,JinaCLIPProcessor:()=>C.JinaCLIPProcessor,LlavaProcessor:()=>r.LlavaProcessor,MgpstrProcessor:()=>Q.MgpstrProcessor,MoonshineProcessor:()=>B.MoonshineProcessor,OwlViTProcessor:()=>a.OwlViTProcessor,PaliGemmaProcessor:()=>c.PaliGemmaProcessor,Phi3VProcessor:()=>d.Phi3VProcessor,PyAnnoteProcessor:()=>p.PyAnnoteProcessor,Qwen2VLProcessor:()=>L.Qwen2VLProcessor,SamProcessor:()=>w.SamProcessor,SmolVLMProcessor:()=>u.SmolVLMProcessor,SpeechT5Processor:()=>_.SpeechT5Processor,UltravoxProcessor:()=>y.UltravoxProcessor,VLChatProcessor:()=>o.VLChatProcessor,VoxtralProcessor:()=>M.VoxtralProcessor,Wav2Vec2Processor:()=>F.Wav2Vec2Processor,Wav2Vec2ProcessorWithLM:()=>m.Wav2Vec2ProcessorWithLM,WhisperProcessor:()=>G.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"),s=e("./src/models/idefics3/processing_idefics3.js"),o=e("./src/models/janus/processing_janus.js"),C=e("./src/models/jina_clip/processing_jina_clip.js"),r=e("./src/models/llava/processing_llava.js"),Q=e("./src/models/mgp_str/processing_mgp_str.js"),B=e("./src/models/moonshine/processing_moonshine.js"),a=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"),p=e("./src/models/pyannote/processing_pyannote.js"),L=e("./src/models/qwen2_vl/processing_qwen2_vl.js"),w=e("./src/models/sam/processing_sam.js"),u=e("./src/models/smolvlm/processing_smolvlm.js"),_=e("./src/models/speecht5/processing_speecht5.js"),y=e("./src/models/ultravox/processing_ultravox.js"),M=e("./src/models/voxtral/processing_voxtral.js"),F=e("./src/models/wav2vec2/processing_wav2vec2.js"),m=e("./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js"),G=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:()=>s});var I=e("./src/base/feature_extraction_utils.js"),i=e("./src/utils/tensor.js"),t=e("./src/utils/maths.js");class s extends I.FeatureExtractor{async _call(C){(0,I.validate_audio_inputs)(C,"PyAnnoteFeatureExtractor"),C instanceof Float64Array&&(C=new Float32Array(C));const r=[1,1,C.length];return{input_values:new i.Tensor("float32",C,r)}}samples_to_frames(C){return(C-this.config.offset)/this.config.step}post_process_speaker_diarization(C,r){const Q=r/this.samples_to_frames(r)/this.config.sampling_rate,B=[];for(const a of C.tolist()){const d=[];let c=-1;for(let p=0;p<a.length;++p){const L=(0,t.softmax)(a[p]),[w,u]=(0,t.max)(L),[_,y]=[p,p+1];u!==c?(c=u,d.push({id:u,start:_,end:y,score:w})):(d.at(-1).end=y,d.at(-1).score+=w)}B.push(d.map(({id:p,start:L,end:w,score:u})=>({id:p,start:L*Q,end:w*Q,confidence:u/(w-L)})))}return B}}}),"./src/models/pyannote/processing_pyannote.js":((A,g,e)=>{e.r(g),e.d(g,{PyAnnoteProcessor:()=>t});var I=e("./src/base/processing_utils.js"),i=e("./src/models/pyannote/feature_extraction_pyannote.js");class t extends I.Processor{static feature_extractor_class=i.PyAnnoteFeatureExtractor;async _call(o){return await this.feature_extractor(o)}post_process_speaker_diarization(...o){return this.feature_extractor.post_process_speaker_diarization(...o)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}}}),"./src/models/qwen2_vl/image_processing_qwen2_vl.js":((A,g,e)=>{e.r(g),e.d(g,{Qwen2VLImageProcessor:()=>t});var I=e("./src/base/image_processors_utils.js"),i=e("./src/utils/tensor.js");class t extends I.ImageProcessor{async _call(o,...C){const{pixel_values:r,original_sizes:Q,reshaped_input_sizes:B}=await super._call(o,...C);let a=r;const{temporal_patch_size:d,merge_size:c,patch_size:p}=this.config;a.dims[0]===1&&(a=(0,i.cat)(Array.from({length:d},()=>a),0));const L=a.dims[0]/d,w=a.dims[1],u=Math.floor(a.dims[2]/p),_=Math.floor(a.dims[3]/p),y=a.view(L,d,w,Math.floor(u/c),c,p,Math.floor(_/c),c,p).permute(0,3,6,4,7,2,1,5,8).view(L*u*_,w*d*p*p),M=new i.Tensor("int64",[L,u,_],[1,3]);return{pixel_values:y,image_grid_thw:M,original_sizes:Q,reshaped_input_sizes:B}}}}),"./src/models/qwen2_vl/processing_qwen2_vl.js":((A,g,e)=>{e.r(g),e.d(g,{Qwen2VLProcessor:()=>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");class s extends I.Processor{static image_processor_class=i.AutoImageProcessor;static tokenizer_class=t.AutoTokenizer;async _call(C,r=null,...Q){Array.isArray(C)||(C=[C]);let B,a;if(r&&(B=await 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Must be one of: ${JSON.stringify(Array.from(B))}`)}}return C}}),"./src/models/whisper/feature_extraction_whisper.js":((A,g,e)=>{e.r(g),e.d(g,{WhisperFeatureExtractor:()=>s});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 s extends I.FeatureExtractor{constructor(C){super(C),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(C){const r=await(0,i.spectrogram)(C,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(C.length/this.config.hop_length),this.config.nb_max_frames)}),Q=r.data,B=(0,t.max)(Q)[0];for(let a=0;a<Q.length;++a)Q[a]=(Math.max(Q[a],B-8)+4)/4;return r}async _call(C,{max_length:r=null}={}){(0,I.validate_audio_inputs)(C,"WhisperFeatureExtractor");let Q;const B=r??this.config.n_samples;return C.length>B?(C.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=C.slice(0,B)):(Q=new Float32Array(B),Q.set(C)),{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:()=>s});var I=e("./src/models/auto/feature_extraction_auto.js"),i=e("./src/tokenizers.js"),t=e("./src/base/processing_utils.js");class s extends t.Processor{static tokenizer_class=i.AutoTokenizer;static feature_extractor_class=I.AutoFeatureExtractor;async _call(C){return await this.feature_extractor(C)}}}),"./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");const t=async(o,C,r)=>{const Q=await(0,I.createInferenceSession)(new Uint8Array(o),C);return(async B=>{const a=(0,I.isONNXProxy)(),d=Object.fromEntries(Object.entries(B).map(([p,L])=>[p,(a?L.clone():L).ort_tensor])),c=await(0,I.runInferenceSession)(Q,d);return Array.isArray(r)?r.map(p=>new i.Tensor(c[p])):new i.Tensor(c[r])})};class s{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=t([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=t([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=t([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=t([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=t([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=t([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=t([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=t([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:()=>tA,BackgroundRemovalPipeline:()=>CA,DepthEstimationPipeline:()=>nA,DocumentQuestionAnsweringPipeline:()=>x,FeatureExtractionPipeline:()=>J,FillMaskPipeline:()=>_,ImageClassificationPipeline:()=>iA,ImageFeatureExtractionPipeline:()=>Z,ImageSegmentationPipeline:()=>rA,ImageToImagePipeline:()=>W,ImageToTextPipeline:()=>AA,ObjectDetectionPipeline:()=>uA,Pipeline:()=>p,QuestionAnsweringPipeline:()=>u,SummarizationPipeline:()=>M,Text2TextGenerationPipeline:()=>y,TextClassificationPipeline:()=>L,TextGenerationPipeline:()=>G,TextToAudioPipeline:()=>$,TokenClassificationPipeline:()=>w,TranslationPipeline:()=>F,ZeroShotAudioClassificationPipeline:()=>P,ZeroShotClassificationPipeline:()=>T,ZeroShotImageClassificationPipeline:()=>cA,ZeroShotObjectDetectionPipeline:()=>v,pipeline:()=>vA});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 s=e("./src/utils/generic.js"),o=e("./src/utils/core.js"),C=e("./src/utils/maths.js"),r=e("./src/utils/audio.js"),Q=e("./src/utils/tensor.js"),B=e("./src/utils/image.js");async function a(kA){return Array.isArray(kA)||(kA=[kA]),await Promise.all(kA.map(X=>B.RawImage.read(X)))}async function d(kA,X){return Array.isArray(kA)||(kA=[kA]),await Promise.all(kA.map(q=>typeof q=="string"||q instanceof URL?(0,r.read_audio)(q,X):q instanceof Float64Array?new Float32Array(q):q))}function c(kA,X){X&&(kA=kA.map(GA=>GA|0));const[q,wA,LA,JA]=kA;return{xmin:q,ymin:wA,xmax:LA,ymax:JA}}class p extends s.Callable{constructor({task:X,model:q,tokenizer:wA=null,processor:LA=null}){super(),this.task=X,this.model=q,this.tokenizer=wA,this.processor=LA}async dispose(){await this.model.dispose()}}class L extends p{constructor(X){super(X)}async _call(X,{top_k:q=1}={}){const wA=this.tokenizer(X,{padding:!0,truncation:!0}),LA=await this.model(wA),JA=this.model.config.problem_type==="multi_label_classification"?_A=>_A.sigmoid():_A=>new Q.Tensor("float32",(0,C.softmax)(_A.data),_A.dims),GA=this.model.config.id2label,fA=[];for(const _A of LA.logits){const dA=JA(_A),YA=await(0,Q.topk)(dA,q),HA=YA[0].tolist(),SA=YA[1].tolist().map((re,$A)=>({label:GA?GA[re]:`LABEL_${re}`,score:HA[$A]}));q===1?fA.push(...SA):fA.push(SA)}return Array.isArray(X)||q===1?fA:fA[0]}}class w extends p{constructor(X){super(X)}async _call(X,{ignore_labels:q=["O"]}={}){const wA=Array.isArray(X),LA=this.tokenizer(wA?X:[X],{padding:!0,truncation:!0}),GA=(await this.model(LA)).logits,fA=this.model.config.id2label,_A=[];for(let dA=0;dA<GA.dims[0];++dA){const YA=LA.input_ids[dA],HA=GA[dA],Ae=[];for(let SA=0;SA<HA.dims[0];++SA){const re=HA[SA],$A=(0,C.max)(re.data)[1],WA=fA?fA[$A]:`LABEL_${$A}`;if(q.includes(WA))continue;const Ce=this.tokenizer.decode([YA[SA].item()],{skip_special_tokens:!0});if(Ce==="")continue;const ee=(0,C.softmax)(re.data);Ae.push({entity:WA,score:ee[$A],index:SA,word:Ce})}_A.push(Ae)}return wA?_A:_A[0]}}class u extends p{constructor(X){super(X)}async _call(X,q,{top_k:wA=1}={}){const LA=this.tokenizer(X,{text_pair:q,padding:!0,truncation:!0}),{start_logits:JA,end_logits:GA}=await this.model(LA),fA=LA.input_ids.tolist(),_A=LA.attention_mask.tolist(),dA=this.tokenizer.all_special_ids,YA=[];for(let HA=0;HA<JA.dims[0];++HA){const Ae=fA[HA],SA=Ae.findIndex(oe=>oe==this.tokenizer.sep_token_id);_A[HA].map((oe,TA)=>oe==1&&(TA===0||TA>SA&&dA.findIndex(ke=>ke==Ae[TA])===-1));const re=JA[HA].tolist(),$A=GA[HA].tolist();for(let oe=1;oe<re.length;++oe)(_A[HA]==0||oe<=SA||dA.findIndex(TA=>TA==Ae[oe])!==-1)&&(re[oe]=-1/0,$A[oe]=-1/0);const WA=(0,C.softmax)(re).map((oe,TA)=>[oe,TA]),Ce=(0,C.softmax)($A).map((oe,TA)=>[oe,TA]);WA[0][0]=0,Ce[0][0]=0;const ee=(0,o.product)(WA,Ce).filter(oe=>oe[0][1]<=oe[1][1]).map(oe=>[oe[0][1],oe[1][1],oe[0][0]*oe[1][0]]).sort((oe,TA)=>TA[2]-oe[2]);for(let oe=0;oe<Math.min(ee.length,wA);++oe){const[TA,ke,Je]=ee[oe],pe=Ae.slice(TA,ke+1),fg=this.tokenizer.decode(pe,{skip_special_tokens:!0});YA.push({answer:fg,score:Je})}}return wA===1?YA[0]:YA}}class _ extends p{constructor(X){super(X)}async _call(X,{top_k:q=5}={}){const wA=this.tokenizer(X,{padding:!0,truncation:!0}),{logits:LA}=await this.model(wA),JA=[],GA=wA.input_ids.tolist();for(let fA=0;fA<GA.length;++fA){const _A=GA[fA],dA=_A.findIndex(re=>re==this.tokenizer.mask_token_id);if(dA===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const YA=LA[fA][dA],HA=await(0,Q.topk)(new Q.Tensor("float32",(0,C.softmax)(YA.data),YA.dims),q),Ae=HA[0].tolist(),SA=HA[1].tolist();JA.push(SA.map((re,$A)=>{const WA=_A.slice();return WA[dA]=re,{score:Ae[$A],token:Number(re),token_str:this.tokenizer.decode([re]),sequence:this.tokenizer.decode(WA,{skip_special_tokens:!0})}}))}return Array.isArray(X)?JA:JA[0]}}class y extends p{_key="generated_text";constructor(X){super(X)}async _call(X,q={}){Array.isArray(X)||(X=[X]),this.model.config.prefix&&(X=X.map(_A=>this.model.config.prefix+_A));const wA=this.model.config.task_specific_params;wA&&wA[this.task]&&wA[this.task].prefix&&(X=X.map(_A=>wA[this.task].prefix+_A));const LA=this.tokenizer,JA={padding:!0,truncation:!0};let GA;this instanceof F&&"_build_translation_inputs"in LA?GA=LA._build_translation_inputs(X,JA,q):GA=LA(X,JA);const fA=await this.model.generate({...GA,...q});return LA.batch_decode(fA,{skip_special_tokens:!0}).map(_A=>({[this._key]:_A}))}}class M extends y{_key="summary_text";constructor(X){super(X)}}class F extends y{_key="translation_text";constructor(X){super(X)}}function m(kA){return Array.isArray(kA)&&kA.every(X=>"role"in X&&"content"in X)}class G extends p{constructor(X){super(X)}async _call(X,q={}){let wA=!1,LA=!1,JA=q.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,GA;if(typeof X=="string")GA=X=[X];else if(Array.isArray(X)&&X.every(SA=>typeof SA=="string"))wA=!0,GA=X;else{if(m(X))X=[X];else if(Array.isArray(X)&&X.every(m))wA=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");LA=!0,GA=X.map(SA=>this.tokenizer.apply_chat_template(SA,{tokenize:!1,add_generation_prompt:!0})),JA=!1}const fA=LA?!1:q.return_full_text??!0;this.tokenizer.padding_side="left";const _A=this.tokenizer(GA,{add_special_tokens:JA,padding:!0,truncation:!0}),dA=await this.model.generate({..._A,...q}),YA=this.tokenizer.batch_decode(dA,{skip_special_tokens:!0});let HA;!fA&&_A.input_ids.dims.at(-1)>0&&(HA=this.tokenizer.batch_decode(_A.input_ids,{skip_special_tokens:!0}).map(SA=>SA.length));const Ae=Array.from({length:X.length},SA=>[]);for(let SA=0;SA<YA.length;++SA){const re=Math.floor(SA/dA.dims[0]*X.length);HA&&(YA[SA]=YA[SA].slice(HA[re])),Ae[re].push({generated_text:LA?[...X[re],{role:"assistant",content:YA[SA]}]:YA[SA]})}return!wA&&Ae.length===1?Ae[0]:Ae}}class T extends p{constructor(X){super(X),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([q,wA])=>[q.toLowerCase(),wA])),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(X,q,{hypothesis_template:wA="This example is {}.",multi_label:LA=!1}={}){const JA=Array.isArray(X);JA||(X=[X]),Array.isArray(q)||(q=[q]);const GA=q.map(dA=>wA.replace("{}",dA)),fA=LA||q.length===1,_A=[];for(const dA of X){const YA=[];for(const SA of GA){const re=this.tokenizer(dA,{text_pair:SA,padding:!0,truncation:!0}),$A=await this.model(re);fA?YA.push([$A.logits.data[this.contradiction_id],$A.logits.data[this.entailment_id]]):YA.push($A.logits.data[this.entailment_id])}const Ae=(fA?YA.map(SA=>(0,C.softmax)(SA)[1]):(0,C.softmax)(YA)).map((SA,re)=>[SA,re]).sort((SA,re)=>re[0]-SA[0]);_A.push({sequence:dA,labels:Ae.map(SA=>q[SA[1]]),scores:Ae.map(SA=>SA[0])})}return JA?_A:_A[0]}}class J extends p{constructor(X){super(X)}async _call(X,{pooling:q="none",normalize:wA=!1,quantize:LA=!1,precision:JA="binary"}={}){const GA=this.tokenizer(X,{padding:!0,truncation:!0}),fA=await this.model(GA);let _A=fA.last_hidden_state??fA.logits??fA.token_embeddings;switch(q){case"none":break;case"mean":_A=(0,Q.mean_pooling)(_A,GA.attention_mask);break;case"first_token":case"cls":_A=_A.slice(null,0);break;case"last_token":case"eos":_A=_A.slice(null,-1);break;default:throw Error(`Pooling method '${q}' not supported.`)}return wA&&(_A=_A.normalize(2,-1)),LA&&(_A=(0,Q.quantize_embeddings)(_A,JA)),_A}}class Z extends p{constructor(X){super(X)}async _call(X,{pool:q=null}={}){const wA=await a(X),{pixel_values:LA}=await this.processor(wA),JA=await this.model({pixel_values:LA});let GA;if(q){if(!("pooler_output"in JA))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");GA=JA.pooler_output}else GA=JA.last_hidden_state??JA.logits??JA.image_embeds;return GA}}class z extends p{constructor(X){super(X)}async _call(X,{top_k:q=5}={}){const wA=this.processor.feature_extractor.config.sampling_rate,LA=await d(X,wA),JA=this.model.config.id2label,GA=[];for(const fA of LA){const _A=await this.processor(fA),YA=(await this.model(_A)).logits[0],HA=await(0,Q.topk)(new Q.Tensor("float32",(0,C.softmax)(YA.data),YA.dims),q),Ae=HA[0].tolist(),re=HA[1].tolist().map(($A,WA)=>({label:JA?JA[$A]:`LABEL_${$A}`,score:Ae[WA]}));GA.push(re)}return Array.isArray(X)?GA:GA[0]}}class P extends p{constructor(X){super(X)}async _call(X,q,{hypothesis_template:wA="This is a sound of {}."}={}){const LA=!Array.isArray(X);LA&&(X=[X]);const JA=q.map(YA=>wA.replace("{}",YA)),GA=this.tokenizer(JA,{padding:!0,truncation:!0}),fA=this.processor.feature_extractor.config.sampling_rate,_A=await d(X,fA),dA=[];for(const YA of _A){const HA=await this.processor(YA),Ae=await this.model({...GA,...HA}),SA=(0,C.softmax)(Ae.logits_per_audio.data);dA.push([...SA].map((re,$A)=>({score:re,label:q[$A]})))}return LA?dA[0]:dA}}class tA extends p{constructor(X){super(X)}async _call(X,q={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(X,q);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(X,q);case"moonshine":return this._call_moonshine(X,q);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(X,q){q.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),q.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const wA=!Array.isArray(X);wA&&(X=[X]);const LA=this.processor.feature_extractor.config.sampling_rate,JA=await d(X,LA),GA=[];for(const fA of JA){const _A=await this.processor(fA),YA=(await this.model(_A)).logits[0],HA=[];for(const SA of YA)HA.push((0,C.max)(SA.data)[1]);const Ae=this.tokenizer.decode(HA);GA.push({text:Ae})}return wA?GA[0]:GA}async _call_whisper(X,q){const wA=q.return_timestamps??!1,LA=q.chunk_length_s??0,JA=q.force_full_sequences??!1;let GA=q.stride_length_s??null;const fA={...q};wA==="word"&&(fA.return_token_timestamps=!0,fA.return_timestamps=!1);const _A=!Array.isArray(X);_A&&(X=[X]);const dA=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,YA=this.processor.feature_extractor.config.hop_length,HA=this.processor.feature_extractor.config.sampling_rate,Ae=await d(X,HA),SA=[];for(const re of Ae){let $A=[];if(LA>0){if(GA===null)GA=LA/6;else if(LA<=GA)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const ee=HA*LA,oe=HA*GA,TA=ee-2*oe;let ke=0;for(;;){const Je=ke+ee,pe=re.subarray(ke,Je),fg=await this.processor(pe),zg=ke===0,qg=Je>=re.length;if($A.push({stride:[pe.length,zg?0:oe,qg?0:oe],input_features:fg.input_features,is_last:qg}),qg)break;ke+=TA}}else $A=[{stride:[re.length,0,0],input_features:(await this.processor(re)).input_features,is_last:!0}];for(const ee of $A){fA.num_frames=Math.floor(ee.stride[0]/YA);const oe=await this.model.generate({inputs:ee.input_features,...fA});wA==="word"?(ee.tokens=oe.sequences.tolist()[0],ee.token_timestamps=oe.token_timestamps.tolist()[0].map(TA=>(0,C.round)(TA,2))):ee.tokens=oe[0].tolist(),ee.stride=ee.stride.map(TA=>TA/HA)}const[WA,Ce]=this.tokenizer._decode_asr($A,{time_precision:dA,return_timestamps:wA,force_full_sequences:JA});SA.push({text:WA,...Ce})}return _A?SA[0]:SA}async _call_moonshine(X,q){const wA=!Array.isArray(X);wA&&(X=[X]);const LA=this.processor.feature_extractor.config.sampling_rate,JA=await d(X,LA),GA=[];for(const fA of JA){const _A=await this.processor(fA),dA=Math.floor(fA.length/LA)*6,YA=await this.model.generate({max_new_tokens:dA,...q,..._A}),HA=this.processor.batch_decode(YA,{skip_special_tokens:!0})[0];GA.push({text:HA})}return wA?GA[0]:GA}}class AA extends p{constructor(X){super(X)}async _call(X,q={}){const wA=Array.isArray(X),LA=await a(X),{pixel_values:JA}=await this.processor(LA),GA=[];for(const fA of JA){fA.dims=[1,...fA.dims];const _A=await this.model.generate({inputs:fA,...q}),dA=this.tokenizer.batch_decode(_A,{skip_special_tokens:!0}).map(YA=>({generated_text:YA.trim()}));GA.push(dA)}return wA?GA:GA[0]}}class iA extends p{constructor(X){super(X)}async _call(X,{top_k:q=5}={}){const wA=await a(X),{pixel_values:LA}=await this.processor(wA),JA=await this.model({pixel_values:LA}),GA=this.model.config.id2label,fA=[];for(const _A of JA.logits){const dA=await(0,Q.topk)(new Q.Tensor("float32",(0,C.softmax)(_A.data),_A.dims),q),YA=dA[0].tolist(),Ae=dA[1].tolist().map((SA,re)=>({label:GA?GA[SA]:`LABEL_${SA}`,score:YA[re]}));fA.push(Ae)}return Array.isArray(X)?fA:fA[0]}}class rA extends p{constructor(X){super(X),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(X,{threshold:q=.5,mask_threshold:wA=.5,overlap_mask_area_threshold:LA=.8,label_ids_to_fuse:JA=null,target_sizes:GA=null,subtask:fA=null}={}){if(Array.isArray(X)&&X.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const dA=await a(X),YA=dA.map(ee=>[ee.height,ee.width]),HA=await this.processor(dA),{inputNames:Ae,outputNames:SA}=this.model.sessions.model;if(!Ae.includes("pixel_values")){if(Ae.length!==1)throw Error(`Expected a single input name, but got ${Ae.length} inputs: ${Ae}.`);const ee=Ae[0];if(ee in HA)throw Error(`Input name ${ee} already exists in the inputs.`);HA[ee]=HA.pixel_values}const re=await this.model(HA);let $A=null;if(fA!==null)$A=this.subtasks_mapping[fA];else if(this.processor.image_processor){for(const[ee,oe]of Object.entries(this.subtasks_mapping))if(oe in this.processor.image_processor){$A=this.processor.image_processor[oe].bind(this.processor.image_processor),fA=ee;break}}const WA=this.model.config.id2label,Ce=[];if(fA)if(fA==="panoptic"||fA==="instance"){const ee=$A(re,q,wA,LA,JA,GA??YA)[0],oe=ee.segmentation;for(const TA of ee.segments_info){const ke=new Uint8ClampedArray(oe.data.length);for(let pe=0;pe<oe.data.length;++pe)oe.data[pe]===TA.id&&(ke[pe]=255);const Je=new B.RawImage(ke,oe.dims[1],oe.dims[0],1);Ce.push({score:TA.score,label:WA[TA.label_id],mask:Je})}}else if(fA==="semantic"){const{segmentation:ee,labels:oe}=$A(re,GA??YA)[0];for(const TA of oe){const ke=new Uint8ClampedArray(ee.data.length);for(let pe=0;pe<ee.data.length;++pe)ee.data[pe]===TA&&(ke[pe]=255);const Je=new B.RawImage(ke,ee.dims[1],ee.dims[0],1);Ce.push({score:null,label:WA[TA],mask:Je})}}else throw Error(`Subtask ${fA} not supported.`);else{const oe=re[SA[0]];for(let TA=0;TA<YA.length;++TA){const ke=YA[TA],Je=oe[TA];Je.data.some(fg=>fg<-1e-5||fg>1+1e-5)&&Je.sigmoid_();const pe=await B.RawImage.fromTensor(Je.mul_(255).to("uint8")).resize(ke[1],ke[0]);Ce.push({label:null,score:null,mask:pe})}}return Ce}}class CA extends rA{constructor(X){super(X)}async _call(X,q={}){if(Array.isArray(X)&&X.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const LA=await a(X),JA=await super._call(X,q);return LA.map((fA,_A)=>{const dA=fA.clone();return dA.putAlpha(JA[_A].mask),dA})}}class cA extends p{constructor(X){super(X)}async _call(X,q,{hypothesis_template:wA="This is a photo of {}"}={}){const LA=Array.isArray(X),JA=await a(X),GA=q.map(Ae=>wA.replace("{}",Ae)),fA=this.tokenizer(GA,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:_A}=await this.processor(JA),dA=await this.model({...fA,pixel_values:_A}),YA=this.model.config.model_type==="siglip"?Ae=>Ae.sigmoid().data:Ae=>(0,C.softmax)(Ae.data),HA=[];for(const Ae of dA.logits_per_image){const re=[...YA(Ae)].map(($A,WA)=>({score:$A,label:q[WA]}));re.sort(($A,WA)=>WA.score-$A.score),HA.push(re)}return LA?HA:HA[0]}}class uA extends p{constructor(X){super(X)}async _call(X,{threshold:q=.9,percentage:wA=!1}={}){const LA=Array.isArray(X);if(LA&&X.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const JA=await a(X),GA=wA?null:JA.map(SA=>[SA.height,SA.width]),{pixel_values:fA,pixel_mask:_A}=await this.processor(JA),dA=await this.model({pixel_values:fA,pixel_mask:_A}),YA=this.processor.image_processor.post_process_object_detection(dA,q,GA),HA=this.model.config.id2label,Ae=YA.map(SA=>SA.boxes.map((re,$A)=>({score:SA.scores[$A],label:HA[SA.classes[$A]],box:c(re,!wA)})));return LA?Ae:Ae[0]}}class v extends p{constructor(X){super(X)}async _call(X,q,{threshold:wA=.1,top_k:LA=null,percentage:JA=!1}={}){const GA=Array.isArray(X),fA=await a(X),_A=this.tokenizer(q,{padding:!0,truncation:!0}),dA=await this.processor(fA),YA=[];for(let HA=0;HA<fA.length;++HA){const Ae=fA[HA],SA=JA?null:[[Ae.height,Ae.width]],re=dA.pixel_values[HA].unsqueeze_(0),$A=await this.model({..._A,pixel_values:re});let WA;if("post_process_grounded_object_detection"in this.processor){const Ce=this.processor.post_process_grounded_object_detection($A,_A.input_ids,{box_threshold:wA,text_threshold:wA,target_sizes:SA})[0];WA=Ce.boxes.map((ee,oe)=>({score:Ce.scores[oe],label:Ce.labels[oe],box:c(ee,!JA)}))}else{const Ce=this.processor.image_processor.post_process_object_detection($A,wA,SA,!0)[0];WA=Ce.boxes.map((ee,oe)=>({score:Ce.scores[oe],label:q[Ce.classes[oe]],box:c(ee,!JA)}))}WA.sort((Ce,ee)=>ee.score-Ce.score),LA!==null&&(WA=WA.slice(0,LA)),YA.push(WA)}return GA?YA:YA[0]}}class x extends p{constructor(X){super(X)}async _call(X,q,wA={}){const LA=(await a(X))[0],{pixel_values:JA}=await this.processor(LA),GA=`<s_docvqa><s_question>${q}</s_question><s_answer>`,fA=this.tokenizer(GA,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,_A=await this.model.generate({inputs:JA,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:fA,...wA}),YA=this.tokenizer.batch_decode(_A)[0].match(/<s_answer>(.*?)<\/s_answer>/);let HA=null;return YA&&YA.length>=2&&(HA=YA[1].trim()),[{answer:HA}]}}class $ extends p{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(X){super(X),this.vocoder=X.vocoder??null}async _call(X,{speaker_embeddings:q=null}={}){return this.processor?this._call_text_to_spectrogram(X,{speaker_embeddings:q}):this._call_text_to_waveform(X)}async _call_text_to_waveform(X){const q=this.tokenizer(X,{padding:!0,truncation:!0}),{waveform:wA}=await this.model(q),LA=this.model.config.sampling_rate;return new r.RawAudio(wA.data,LA)}async _call_text_to_spectrogram(X,{speaker_embeddings:q}){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 q=="string"||q instanceof URL)&&(q=new Float32Array(await(await fetch(q)).arrayBuffer())),q instanceof Float32Array)q=new Q.Tensor("float32",q,[1,q.length]);else if(!(q instanceof Q.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:wA}=this.tokenizer(X,{padding:!0,truncation:!0}),{waveform:LA}=await this.model.generate_speech(wA,q,{vocoder:this.vocoder}),JA=this.processor.feature_extractor.config.sampling_rate;return new r.RawAudio(LA.data,JA)}}class W extends p{constructor(X){super(X)}async _call(X){const q=await a(X),wA=await this.processor(q),LA=await this.model(wA),JA=[];for(const GA of LA.reconstruction){const fA=GA.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");JA.push(B.RawImage.fromTensor(fA))}return JA.length>1?JA:JA[0]}}class nA extends p{constructor(X){super(X)}async _call(X){const q=await a(X),wA=await this.processor(q),{predicted_depth:LA}=await this.model(wA),JA=[];for(let GA=0;GA<q.length;++GA){const fA=LA[GA],[_A,dA]=fA.dims.slice(-2),[YA,HA]=q[GA].size,Ae=(await(0,Q.interpolate_4d)(fA.view(1,1,_A,dA),{size:[HA,YA],mode:"bilinear"})).view(HA,YA),SA=Ae.min().item(),re=Ae.max().item(),$A=Ae.sub(SA).div_(re-SA).mul_(255).to("uint8").unsqueeze(0),WA=B.RawImage.fromTensor($A);JA.push({predicted_depth:Ae,depth:WA})}return JA.length>1?JA:JA[0]}}const xA=Object.freeze({"text-classification":{tokenizer:I.AutoTokenizer,pipeline:L,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:I.AutoTokenizer,pipeline:w,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:I.AutoTokenizer,pipeline:u,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:I.AutoTokenizer,pipeline:_,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:I.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:I.AutoTokenizer,pipeline:F,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:I.AutoTokenizer,pipeline:y,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:I.AutoTokenizer,pipeline:G,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:I.AutoTokenizer,pipeline:T,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:P,model:i.AutoModel,processor:t.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:I.AutoTokenizer,pipeline:tA,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:t.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:I.AutoTokenizer,pipeline:$,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[t.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:I.AutoTokenizer,pipeline:AA,model:i.AutoModelForVision2Seq,processor:t.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:iA,model:i.AutoModelForImageClassification,processor:t.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:rA,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:t.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:CA,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:uA,model:i.AutoModelForObjectDetection,processor:t.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:I.AutoTokenizer,pipeline:v,model:i.AutoModelForZeroShotObjectDetection,processor:t.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:I.AutoTokenizer,pipeline:x,model:i.AutoModelForDocumentQuestionAnswering,processor:t.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:W,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:J,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:t.AutoProcessor,pipeline:Z,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),RA=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function vA(kA,X=null,{progress_callback:q=null,config:wA=null,cache_dir:LA=null,local_files_only:JA=!1,revision:GA="main",device:fA=null,dtype:_A=null,subfolder:dA="onnx",use_external_data_format:YA=null,model_file_name:HA=null,session_options:Ae={}}={}){kA=RA[kA]??kA;const SA=xA[kA.split("_",1)[0]];if(!SA)throw Error(`Unsupported pipeline: ${kA}. Must be one of [${Object.keys(xA)}]`);X||(X=SA.default.model,console.log(`No model specified. Using default model: "${X}".`));const re={progress_callback:q,config:wA,cache_dir:LA,local_files_only:JA,revision:GA,device:fA,dtype:_A,subfolder:dA,use_external_data_format:YA,model_file_name:HA,session_options:Ae},$A=new Map([["tokenizer",SA.tokenizer],["model",SA.model],["processor",SA.processor]]),WA=await ie($A,X,re);WA.task=kA,(0,o.dispatchCallback)(q,{status:"ready",task:kA,model:X});const Ce=SA.pipeline;return new Ce(WA)}async function ie(kA,X,q){const wA=Object.create(null),LA=[];for(const[JA,GA]of kA.entries()){if(!GA)continue;let fA;Array.isArray(GA)?fA=new Promise(async(_A,dA)=>{let YA;for(const HA of GA){if(HA===null){_A(null);return}try{_A(await HA.from_pretrained(X,q));return}catch(Ae){if(Ae.message?.includes("Unsupported model type"))YA=Ae;else if(Ae.message?.includes("Could not locate file"))YA=Ae;else{dA(Ae);return}}}dA(YA)}):fA=GA.from_pretrained(X,q),wA[JA]=fA,LA.push(fA)}await Promise.all(LA);for(const[JA,GA]of Object.entries(wA))wA[JA]=await GA;return wA}}),"./src/tokenizers.js":((A,g,e)=>{e.r(g),e.d(g,{AlbertTokenizer:()=>ze,AutoTokenizer:()=>Ze,BartTokenizer:()=>be,BertTokenizer:()=>EI,BlenderbotSmallTokenizer:()=>eA,BlenderbotTokenizer:()=>b,BloomTokenizer:()=>Og,CLIPTokenizer:()=>yI,CamembertTokenizer:()=>bA,CodeGenTokenizer:()=>tI,CodeLlamaTokenizer:()=>Wg,CohereTokenizer:()=>se,ConvBertTokenizer:()=>IA,DebertaTokenizer:()=>R,DebertaV2Tokenizer:()=>gA,DistilBertTokenizer:()=>yA,ElectraTokenizer:()=>Ee,Ernie4_5_Tokenizer:()=>ve,EsmTokenizer:()=>cI,FalconTokenizer:()=>CI,GPT2Tokenizer:()=>_e,GPTNeoXTokenizer:()=>jg,GemmaTokenizer:()=>yg,Grok1Tokenizer:()=>cg,HerbertTokenizer:()=>j,LlamaTokenizer:()=>og,M2M100Tokenizer:()=>iI,MBart50Tokenizer:()=>Ag,MBartTokenizer:()=>tg,MPNetTokenizer:()=>sI,MarianTokenizer:()=>f,MgpstrTokenizer:()=>me,MobileBertTokenizer:()=>Ne,NllbTokenizer:()=>mg,NougatTokenizer:()=>DA,PreTrainedTokenizer:()=>he,Qwen2Tokenizer:()=>$g,RoFormerTokenizer:()=>aA,RobertaTokenizer:()=>lg,SiglipTokenizer:()=>l,SpeechT5Tokenizer:()=>EA,SqueezeBertTokenizer:()=>lI,T5Tokenizer:()=>Ie,TokenizerModel:()=>Z,VitsTokenizer:()=>MA,Wav2Vec2CTCTokenizer:()=>k,WhisperTokenizer:()=>Tg,XLMRobertaTokenizer:()=>Lg,XLMTokenizer:()=>ae,is_chinese_char:()=>_});var I=e("./src/utils/generic.js"),i=e("./src/utils/core.js"),t=e("./src/utils/hub.js"),s=e("./src/utils/maths.js"),o=e("./src/utils/tensor.js"),C=e("./src/utils/data-structures.js"),r=e("./node_modules/@huggingface/jinja/dist/index.js"),Q=e("./src/models/whisper/common_whisper.js");async function B(BA,N){const H=await Promise.all([(0,t.getModelJSON)(BA,"tokenizer.json",!0,N),(0,t.getModelJSON)(BA,"tokenizer_config.json",!0,N)]);return N.legacy!==null&&(H[1].legacy=N.legacy),H}function a(BA,N){const H=[];let oA=0;for(const sA of BA.matchAll(N)){const hA=sA[0];oA<sA.index&&H.push(BA.slice(oA,sA.index)),hA.length>0&&H.push(hA),oA=sA.index+hA.length}return oA<BA.length&&H.push(BA.slice(oA)),H}function d(BA,N=!0){if(BA.Regex!==void 0){let H=BA.Regex.replace(/\\([#&~])/g,"$1");for(const[oA,sA]of T)H=H.replaceAll(oA,sA);return new RegExp(H,"gu")}else if(BA.String!==void 0){const H=(0,i.escapeRegExp)(BA.String);return new RegExp(N?H:`(${H})`,"gu")}else return console.warn("Unknown pattern type:",BA),null}function c(BA){return new Map(Object.entries(BA))}function p(BA){const N=BA.dims;switch(N.length){case 1:return BA.tolist();case 2:if(N[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return BA.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${N.length}.`)}}function L(BA){return BA.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function w(BA){return BA.replace(/\p{M}/gu,"")}function u(BA){return w(BA.toLowerCase())}function _(BA){return BA>=19968&&BA<=40959||BA>=13312&&BA<=19903||BA>=131072&&BA<=173791||BA>=173824&&BA<=177983||BA>=177984&&BA<=178207||BA>=178208&&BA<=183983||BA>=63744&&BA<=64255||BA>=194560&&BA<=195103}function y(BA,N,H){const oA=[];let sA=0;for(;sA<BA.length;){if(oA.push(BA[sA]),(N.get(BA[sA])??H)!==H){++sA;continue}for(;++sA<BA.length&&(N.get(BA[sA])??H)===H;)N.get(oA.at(-1))!==H&&(oA[oA.length-1]+=BA[sA])}return oA}function M(BA){return BA.match(/\S+/g)||[]}const F="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",m=new RegExp(`^[${F}]+$`,"gu"),G=".,!?…。，、।۔،",T=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],[` ?[^(\\s|[${G}])]+`,` ?[^\\s${G}]+`]]);class J{constructor(N){this.content=N.content,this.id=N.id,this.single_word=N.single_word??!1,this.lstrip=N.lstrip??!1,this.rstrip=N.rstrip??!1,this.special=N.special??!1,this.normalized=N.normalized??null}}class Z extends I.Callable{constructor(N){super(),this.config=N,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(N,...H){switch(N.type){case"WordPiece":return new z(N);case"Unigram":return new P(N,...H);case"BPE":return new iA(N);default:if(N.vocab)return Array.isArray(N.vocab)?new P(N,...H):Object.hasOwn(N,"continuing_subword_prefix")&&Object.hasOwn(N,"unk_token")?Object.hasOwn(N,"merges")?new iA(N):new z(N):new rA(N,...H);throw new Error(`Unknown TokenizerModel type: ${N.type}`)}}_call(N){return N=this.encode(N),this.fuse_unk&&(N=y(N,this.tokens_to_ids,this.unk_token_id)),N}encode(N){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(N){return N.map(H=>this.tokens_to_ids.get(H)??this.unk_token_id)}convert_ids_to_tokens(N){return N.map(H=>this.vocab[H]??this.unk_token)}}class z extends Z{constructor(N){super(N),this.tokens_to_ids=c(N.vocab),this.unk_token_id=this.tokens_to_ids.get(N.unk_token),this.unk_token=N.unk_token,this.max_input_chars_per_word=N.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[H,oA]of this.tokens_to_ids)this.vocab[oA]=H}encode(N){const H=[];for(const oA of N){const sA=[...oA];if(sA.length>this.max_input_chars_per_word){H.push(this.unk_token);continue}let hA=!1,NA=0;const zA=[];for(;NA<sA.length;){let ge=sA.length,ZA=null;for(;NA<ge;){let VA=sA.slice(NA,ge).join("");if(NA>0&&(VA=this.config.continuing_subword_prefix+VA),this.tokens_to_ids.has(VA)){ZA=VA;break}--ge}if(ZA===null){hA=!0;break}zA.push(ZA),NA=ge}hA?H.push(this.unk_token):H.push(...zA)}return H}}class P extends Z{constructor(N,H){super(N);const oA=N.vocab.length;this.vocab=new Array(oA),this.scores=new Array(oA);for(let sA=0;sA<oA;++sA)[this.vocab[sA],this.scores[sA]]=N.vocab[sA];this.unk_token_id=N.unk_id,this.unk_token=this.vocab[N.unk_id],this.tokens_to_ids=new Map(this.vocab.map((sA,hA)=>[sA,hA])),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,s.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new C.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(N){const H=N.chars,oA=1;let sA=0;for(;sA<H.length;){let hA=!1;const NA=H.slice(sA).join(""),zA=this.trie.commonPrefixSearch(NA);for(const ge of zA){const ZA=this.tokens_to_ids.get(ge),VA=this.scores[ZA],ce=(0,i.len)(ge);N.insert(sA,ce,VA,ZA),!hA&&ce===oA&&(hA=!0)}hA||N.insert(sA,oA,this.unk_score,this.unk_token_id),sA+=oA}}tokenize(N){const H=new C.TokenLattice(N,this.bos_token_id,this.eos_token_id);return this.populateNodes(H),H.tokens()}encode(N){const H=[];for(const oA of N){const sA=this.tokenize(oA);H.push(...sA)}return H}}const tA=(()=>{const BA=[...Array.from({length:94},(sA,hA)=>hA+33),...Array.from({length:12},(sA,hA)=>hA+161),...Array.from({length:82},(sA,hA)=>hA+174)],N=BA.slice();let H=0;for(let sA=0;sA<256;++sA)BA.includes(sA)||(BA.push(sA),N.push(256+H),H+=1);const oA=N.map(sA=>String.fromCharCode(sA));return Object.fromEntries(BA.map((sA,hA)=>[sA,oA[hA]]))})(),AA=(0,i.reverseDictionary)(tA);class iA extends Z{constructor(N){super(N),this.tokens_to_ids=c(N.vocab),this.unk_token_id=this.tokens_to_ids.get(N.unk_token),this.unk_token=N.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[oA,sA]of this.tokens_to_ids)this.vocab[sA]=oA;const H=Array.isArray(N.merges[0]);this.merges=H?N.merges:N.merges.map(oA=>oA.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((oA,sA)=>[JSON.stringify(oA),sA])),this.end_of_word_suffix=N.end_of_word_suffix,this.continuing_subword_suffix=N.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 C.LRUCache(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(N){if(N.length===0)return[];const H=this.cache.get(N);if(H!==void 0)return H;const oA=Array.from(N);this.end_of_word_suffix&&(oA[oA.length-1]+=this.end_of_word_suffix);let sA=[];if(oA.length>1){const hA=new C.PriorityQueue((ge,ZA)=>ge.score<ZA.score);let NA={token:oA[0],bias:0,prev:null,next:null},zA=NA;for(let ge=1;ge<oA.length;++ge){const ZA={bias:ge/oA.length,token:oA[ge],prev:zA,next:null};zA.next=ZA,this._add_node(hA,zA),zA=ZA}for(;!hA.isEmpty();){const ge=hA.pop();if(ge.deleted||!ge.next||ge.next.deleted)continue;if(ge.deleted=!0,ge.next.deleted=!0,ge.prev){const VA={...ge.prev};ge.prev.deleted=!0,ge.prev=VA,VA.prev?VA.prev.next=VA:NA=VA}const ZA={token:ge.token+ge.next.token,bias:ge.bias,prev:ge.prev,next:ge.next.next};ZA.prev?(ZA.prev.next=ZA,this._add_node(hA,ZA.prev)):NA=ZA,ZA.next&&(ZA.next.prev=ZA,this._add_node(hA,ZA))}for(let ge=NA;ge!==null;ge=ge.next)sA.push(ge.token)}else sA=oA;if(this.continuing_subword_suffix)for(let hA=0;hA<sA.length-1;++hA)sA[hA]+=this.continuing_subword_suffix;return N.length<this.max_length_to_cache&&this.cache.put(N,sA),sA}_add_node(N,H){const oA=this.bpe_ranks.get(JSON.stringify([H.token,H.next.token]));oA!==void 0&&(H.score=oA+H.bias,N.push(H))}encode(N){const H=[];for(const oA of N){if(this.ignore_merges&&this.tokens_to_ids.has(oA)){H.push(oA);continue}const sA=this.bpe(oA);for(const hA of sA)if(this.tokens_to_ids.has(hA))H.push(hA);else if(this.byte_fallback){const NA=Array.from(this.text_encoder.encode(hA)).map(zA=>`<0x${zA.toString(16).toUpperCase().padStart(2,"0")}>`);NA.every(zA=>this.tokens_to_ids.has(zA))?H.push(...NA):H.push(this.unk_token)}else H.push(this.unk_token)}return H}}class rA extends Z{constructor(N,H){super(N),this.tokens_to_ids=c(H.target_lang?N.vocab[H.target_lang]:N.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,sA]of this.tokens_to_ids)this.vocab[sA]=oA}encode(N){return N}}class CA extends I.Callable{constructor(N){super(),this.config=N}static fromConfig(N){if(N===null)return null;switch(N.type){case"BertNormalizer":return new kA(N);case"Precompiled":return new qg(N);case"Sequence":return new ie(N);case"Replace":return new cA(N);case"NFC":return new v(N);case"NFD":return new x(N);case"NFKC":return new $(N);case"NFKD":return new W(N);case"Strip":return new nA(N);case"StripAccents":return new xA(N);case"Lowercase":return new RA(N);case"Prepend":return new vA(N);default:throw new Error(`Unknown Normalizer type: ${N.type}`)}}normalize(N){throw Error("normalize should be implemented in subclass.")}_call(N){return this.normalize(N)}}class cA extends CA{normalize(N){const H=d(this.config.pattern);return H===null?N:N.replaceAll(H,this.config.content)}}class uA extends CA{form=void 0;normalize(N){return N=N.normalize(this.form),N}}class v extends uA{form="NFC"}class x extends uA{form="NFD"}class $ extends uA{form="NFKC"}class W extends uA{form="NFKD"}class nA extends CA{normalize(N){return this.config.strip_left&&this.config.strip_right?N=N.trim():(this.config.strip_left&&(N=N.trimStart()),this.config.strip_right&&(N=N.trimEnd())),N}}class xA extends CA{normalize(N){return N=w(N),N}}class RA extends CA{normalize(N){return N=N.toLowerCase(),N}}class vA extends CA{normalize(N){return N=this.config.prepend+N,N}}class ie extends CA{constructor(N){super(N),this.normalizers=N.normalizers.map(H=>CA.fromConfig(H))}normalize(N){return this.normalizers.reduce((H,oA)=>oA.normalize(H),N)}}class kA extends CA{_tokenize_chinese_chars(N){const H=[];for(let oA=0;oA<N.length;++oA){const sA=N[oA],hA=sA.charCodeAt(0);_(hA)?(H.push(" "),H.push(sA),H.push(" ")):H.push(sA)}return H.join("")}stripAccents(N){return N.normalize("NFD").replace(/\p{Mn}/gu,"")}_is_control(N){switch(N){case"	":case`
`:case"\r":return!1;default:return/^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(N)}}_clean_text(N){const H=[];for(const oA of N){const sA=oA.charCodeAt(0);sA===0||sA===65533||this._is_control(oA)||(/^\s$/.test(oA)?H.push(" "):H.push(oA))}return H.join("")}normalize(N){return this.config.clean_text&&(N=this._clean_text(N)),this.config.handle_chinese_chars&&(N=this._tokenize_chinese_chars(N)),this.config.lowercase?(N=N.toLowerCase(),this.config.strip_accents!==!1&&(N=this.stripAccents(N))):this.config.strip_accents&&(N=this.stripAccents(N)),N}}class X extends I.Callable{static fromConfig(N){if(N===null)return null;switch(N.type){case"BertPreTokenizer":return new q(N);case"Sequence":return new xg(N);case"Whitespace":return new rg(N);case"WhitespaceSplit":return new U(N);case"Metaspace":return new fg(N);case"ByteLevel":return new wA(N);case"Split":return new LA(N);case"Punctuation":return new JA(N);case"Digits":return new GA(N);case"Replace":return new wg(N);default:throw new Error(`Unknown PreTokenizer type: ${N.type}`)}}pre_tokenize_text(N,H){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(N,H){return(Array.isArray(N)?N.map(oA=>this.pre_tokenize_text(oA,H)):this.pre_tokenize_text(N,H)).flat()}_call(N,H){return this.pre_tokenize(N,H)}}class q extends X{constructor(N){super(),this.pattern=new RegExp(`[^\\s${F}]+|[${F}]`,"gu")}pre_tokenize_text(N,H){return N.trim().match(this.pattern)||[]}}class wA extends X{constructor(N){super(),this.config=N,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=tA,this.text_encoder=new TextEncoder}pre_tokenize_text(N,H){return this.add_prefix_space&&!N.startsWith(" ")&&(N=" "+N),(this.use_regex?N.match(this.pattern)||[]:[N]).map(sA=>Array.from(this.text_encoder.encode(sA),hA=>this.byte_encoder[hA]).join(""))}}class LA extends X{constructor(N){super(),this.config=N,this.pattern=d(this.config.pattern,this.config.invert)}pre_tokenize_text(N,H){return this.pattern===null?[]:this.config.invert?N.match(this.pattern)||[]:this.config.behavior?.toLowerCase()==="removed"?N.split(this.pattern).filter(oA=>oA):a(N,this.pattern)}}class JA extends X{constructor(N){super(),this.config=N,this.pattern=new RegExp(`[^${F}]+|[${F}]+`,"gu")}pre_tokenize_text(N,H){return N.match(this.pattern)||[]}}class GA extends X{constructor(N){super(),this.config=N;const H=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(H,"gu")}pre_tokenize_text(N,H){return N.match(this.pattern)||[]}}class fA extends I.Callable{constructor(N){super(),this.config=N}static fromConfig(N){if(N===null)return null;switch(N.type){case"TemplateProcessing":return new YA(N);case"ByteLevel":return new HA(N);case"RobertaProcessing":return new dA(N);case"BertProcessing":return new _A(N);case"Sequence":return new Ae(N);default:throw new Error(`Unknown PostProcessor type: ${N.type}`)}}post_process(N,...H){throw Error("post_process should be implemented in subclass.")}_call(N,...H){return this.post_process(N,...H)}}class _A extends fA{constructor(N){super(N),this.cls=N.cls[0],this.sep=N.sep[0]}post_process(N,H=null,{add_special_tokens:oA=!0}={}){oA&&(N=(0,i.mergeArrays)([this.cls],N,[this.sep]));let sA=new Array(N.length).fill(0);if(H!==null){const hA=oA&&this instanceof dA?[this.sep]:[],NA=oA?[this.sep]:[];N=(0,i.mergeArrays)(N,hA,H,NA),sA=(0,i.mergeArrays)(sA,new Array(H.length+hA.length+NA.length).fill(1))}return{tokens:N,token_type_ids:sA}}}class dA extends _A{}class YA extends fA{constructor(N){super(N),this.single=N.single,this.pair=N.pair}post_process(N,H=null,{add_special_tokens:oA=!0}={}){const sA=H===null?this.single:this.pair;let hA=[],NA=[];for(const zA of sA)"SpecialToken"in zA?oA&&(hA.push(zA.SpecialToken.id),NA.push(zA.SpecialToken.type_id)):"Sequence"in zA&&(zA.Sequence.id==="A"?(hA=(0,i.mergeArrays)(hA,N),NA=(0,i.mergeArrays)(NA,new Array(N.length).fill(zA.Sequence.type_id))):zA.Sequence.id==="B"&&(hA=(0,i.mergeArrays)(hA,H),NA=(0,i.mergeArrays)(NA,new Array(H.length).fill(zA.Sequence.type_id))));return{tokens:hA,token_type_ids:NA}}}class HA extends fA{post_process(N,H=null){return H&&(N=(0,i.mergeArrays)(N,H)),{tokens:N}}}class Ae extends fA{constructor(N){super(N),this.processors=N.processors.map(H=>fA.fromConfig(H))}post_process(N,H=null,oA={}){let sA;for(const hA of this.processors)if(hA instanceof HA)N=hA.post_process(N).tokens,H&&(H=hA.post_process(H).tokens);else{const NA=hA.post_process(N,H,oA);N=NA.tokens,sA=NA.token_type_ids}return{tokens:N,token_type_ids:sA}}}class SA extends I.Callable{constructor(N){super(),this.config=N,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=N.trim_offsets}static fromConfig(N){if(N===null)return null;switch(N.type){case"WordPiece":return new ee(N);case"Metaspace":return new zg(N);case"ByteLevel":return new oe(N);case"Replace":return new re(N);case"ByteFallback":return new $A(N);case"Fuse":return new WA(N);case"Strip":return new Ce(N);case"Sequence":return new ke(N);case"CTC":return new TA(N);case"BPEDecoder":return new Je(N);default:throw new Error(`Unknown Decoder type: ${N.type}`)}}_call(N){return this.decode(N)}decode(N){return this.decode_chain(N).join("")}decode_chain(N){throw Error("`decode_chain` should be implemented in subclass.")}}class re extends SA{decode_chain(N){const H=d(this.config.pattern);return H===null?N:N.map(oA=>oA.replaceAll(H,this.config.content))}}class $A extends SA{constructor(N){super(N),this.text_decoder=new TextDecoder}decode_chain(N){const H=[];let oA=[];for(const sA of N){let hA=null;if(sA.length===6&&sA.startsWith("<0x")&&sA.endsWith(">")){const NA=parseInt(sA.slice(3,5),16);isNaN(NA)||(hA=NA)}if(hA!==null)oA.push(hA);else{if(oA.length>0){const NA=this.text_decoder.decode(Uint8Array.from(oA));H.push(NA),oA=[]}H.push(sA)}}if(oA.length>0){const sA=this.text_decoder.decode(Uint8Array.from(oA));H.push(sA),oA=[]}return H}}class WA extends SA{decode_chain(N){return[N.join("")]}}class Ce extends SA{constructor(N){super(N),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(N){return N.map(H=>{let oA=0;for(let hA=0;hA<this.start&&H[hA]===this.content;++hA){oA=hA+1;continue}let sA=H.length;for(let hA=0;hA<this.stop;++hA){const NA=H.length-hA-1;if(H[NA]===this.content){sA=NA;continue}else break}return H.slice(oA,sA)})}}class ee extends SA{constructor(N){super(N),this.cleanup=N.cleanup}decode_chain(N){return N.map((H,oA)=>(oA!==0&&(H.startsWith(this.config.prefix)?H=H.replace(this.config.prefix,""):H=" "+H),this.cleanup&&(H=L(H)),H))}}class oe extends SA{constructor(N){super(N),this.byte_decoder=AA,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(N){const H=N.join(""),oA=new Uint8Array([...H].map(hA=>this.byte_decoder[hA]));return this.text_decoder.decode(oA)}decode_chain(N){const H=[];let oA=[];for(const sA of N)this.added_tokens.find(hA=>hA.content===sA)!==void 0?(oA.length>0&&(H.push(this.convert_tokens_to_string(oA)),oA=[]),H.push(sA)):oA.push(sA);return oA.length>0&&H.push(this.convert_tokens_to_string(oA)),H}}class TA extends SA{constructor(N){super(N),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(N){if(N.length===0)return"";const H=[N[0]];for(let hA=1;hA<N.length;++hA)N[hA]!==H.at(-1)&&H.push(N[hA]);let sA=H.filter(hA=>hA!==this.pad_token).join("");return this.cleanup&&(sA=L(sA).replaceAll(this.word_delimiter_token," ").trim()),sA}decode_chain(N){return[this.convert_tokens_to_string(N)]}}class ke extends SA{constructor(N){super(N),this.decoders=N.decoders.map(H=>SA.fromConfig(H))}decode_chain(N){return this.decoders.reduce((H,oA)=>oA.decode_chain(H),N)}}class Je extends SA{constructor(N){super(N),this.suffix=this.config.suffix}decode_chain(N){return N.map((H,oA)=>H.replaceAll(this.suffix,oA===N.length-1?"":" "))}}class pe extends SA{decode_chain(N){let H="";for(let oA=1;oA<N.length;oA+=2)H+=N[oA];return[H]}}class fg extends X{constructor(N){super(),this.addPrefixSpace=N.add_prefix_space,this.replacement=N.replacement,this.strRep=N.str_rep||this.replacement,this.prepend_scheme=N.prepend_scheme??"always"}pre_tokenize_text(N,{section_index:H=void 0}={}){let oA=N.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!oA.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&H===0)&&(oA=this.strRep+oA),[oA]}}class zg extends SA{constructor(N){super(N),this.addPrefixSpace=N.add_prefix_space,this.replacement=N.replacement}decode_chain(N){const H=[];for(let oA=0;oA<N.length;++oA){let sA=N[oA].replaceAll(this.replacement," ");this.addPrefixSpace&&oA==0&&sA.startsWith(" ")&&(sA=sA.substring(1)),H.push(sA)}return H}}class qg extends CA{constructor(N){super(N),this.charsmap=N.precompiled_charsmap}normalize(N){return N=N.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),N=N.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),N.includes("～")?N=N.split("～").map(oA=>oA.normalize("NFKC")).join("～"):N=N.normalize("NFKC"),N}}class xg extends X{constructor(N){super(),this.tokenizers=N.pretokenizers.map(H=>X.fromConfig(H))}pre_tokenize_text(N,H){return this.tokenizers.reduce((oA,sA)=>sA.pre_tokenize(oA,H),[N])}}class rg extends X{constructor(N){super()}pre_tokenize_text(N,H){return N.match(/\w+|[^\w\s]+/g)||[]}}class U extends X{constructor(N){super()}pre_tokenize_text(N,H){return M(N)}}class wg extends X{constructor(N){super(),this.config=N,this.pattern=d(this.config.pattern),this.content=this.config.content}pre_tokenize_text(N,H){return this.pattern===null?[N]:[N.replaceAll(this.pattern,this.config.content)]}}const xI=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function fI(BA,N,H,oA){for(const sA of Object.keys(BA)){const hA=N-BA[sA].length,NA=H(sA),zA=new Array(hA).fill(NA);BA[sA]=oA==="right"?(0,i.mergeArrays)(BA[sA],zA):(0,i.mergeArrays)(zA,BA[sA])}}function AI(BA,N){for(const H of Object.keys(BA))BA[H].length=N}class he extends I.Callable{return_token_type_ids=!1;padding_side="right";constructor(N,H){super(),this.config=H,this.normalizer=CA.fromConfig(N.normalizer),this.pre_tokenizer=X.fromConfig(N.pre_tokenizer),this.model=Z.fromConfig(N.model,H),this.post_processor=fA.fromConfig(N.post_processor),this.decoder=SA.fromConfig(N.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const oA of N.added_tokens){const sA=new J(oA);this.added_tokens.push(sA),this.model.tokens_to_ids.set(sA.content,sA.id),this.model.vocab[sA.id]=sA.content,sA.special&&(this.special_tokens.push(sA.content),this.all_special_ids.push(sA.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 C.DictionarySplitter(this.added_tokens.map(oA=>oA.content)),this.added_tokens_map=new Map(this.added_tokens.map(oA=>[oA.content,oA])),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 oA=Object.create(null);for(const{name:sA,template:hA}of this.chat_template){if(typeof sA!="string"||typeof hA!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');oA[sA]=hA}this.chat_template=oA}this._compiled_template_cache=new Map}getToken(...N){for(const H of N){const oA=this.config[H];if(oA)if(typeof oA=="object"){if(oA.__type==="AddedToken")return oA.content;throw Error(`Unknown token: ${oA}`)}else return oA}return null}static async from_pretrained(N,{progress_callback:H=null,config:oA=null,cache_dir:sA=null,local_files_only:hA=!1,revision:NA="main",legacy:zA=null}={}){const ge=await B(N,{progress_callback:H,config:oA,cache_dir:sA,local_files_only:hA,revision:NA,legacy:zA});return new this(...ge)}_call(N,{text_pair:H=null,add_special_tokens:oA=!0,padding:sA=!1,truncation:hA=null,max_length:NA=null,return_tensor:zA=!0,return_token_type_ids:ge=null}={}){const ZA=Array.isArray(N);let VA;if(ZA){if(N.length===0)throw Error("text array must be non-empty");if(H!==null){if(Array.isArray(H)){if(N.length!==H.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");VA=N.map((Re,ng)=>this._encode_plus(Re,{text_pair:H[ng],add_special_tokens:oA,return_token_type_ids:ge}))}else VA=N.map(Re=>this._encode_plus(Re,{add_special_tokens:oA,return_token_type_ids:ge}))}else{if(N==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).");VA=[this._encode_plus(N,{text_pair:H,add_special_tokens:oA,return_token_type_ids:ge})]}if(NA===null?NA=this.model_max_length:hA===null&&(sA===!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'`."),NA=this.model_max_length):sA===!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."),hA=!0)),sA===!0&&(NA=Math.min((0,s.max)(VA.map(Re=>Re.input_ids.length))[0],NA??1/0)),NA=Math.min(NA,this.model_max_length??1/0),sA||hA)for(let Re=0;Re<VA.length;++Re)VA[Re].input_ids.length!==NA&&(VA[Re].input_ids.length>NA?hA&&AI(VA[Re],NA):sA&&fI(VA[Re],NA,ng=>ng==="input_ids"?this.pad_token_id:0,this.padding_side));const ce={};if(zA){if(!(sA&&hA)&&VA.some(ng=>{for(const Ng of Object.keys(ng))if(ng[Ng].length!==VA[0][Ng]?.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 Re=[VA.length,VA[0].input_ids.length];for(const ng of Object.keys(VA[0]))ce[ng]=new o.Tensor("int64",BigInt64Array.from(VA.flatMap(Ng=>Ng[ng]).map(BigInt)),Re)}else{for(const Re of Object.keys(VA[0]))ce[Re]=VA.map(ng=>ng[Re]);if(!ZA)for(const Re of Object.keys(ce))ce[Re]=ce[Re][0]}return ce}_encode_text(N){if(N===null)return null;const H=this.added_tokens_splitter.split(N);for(let sA=0;sA<H.length;++sA){const hA=this.added_tokens_map.get(H[sA]);hA&&(hA.lstrip&&sA>0&&(H[sA-1]=H[sA-1].trimEnd()),hA.rstrip&&sA<H.length-1&&(H[sA+1]=H[sA+1].trimStart()))}return H.flatMap((sA,hA)=>{if(sA.length===0)return[];if(this.added_tokens_map.has(sA))return[sA];if(this.remove_space===!0&&(sA=sA.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(sA=u(sA)),this.normalizer!==null&&(sA=this.normalizer(sA)),sA.length===0)return[];const NA=this.pre_tokenizer!==null?this.pre_tokenizer(sA,{section_index:hA}):[sA];return this.model(NA)})}_encode_plus(N,{text_pair:H=null,add_special_tokens:oA=!0,return_token_type_ids:sA=null}={}){const{tokens:hA,token_type_ids:NA}=this._tokenize_helper(N,{pair:H,add_special_tokens:oA}),zA=this.model.convert_tokens_to_ids(hA),ge={input_ids:zA,attention_mask:new Array(zA.length).fill(1)};return(sA??this.return_token_type_ids)&&NA&&(ge.token_type_ids=NA),ge}_tokenize_helper(N,{pair:H=null,add_special_tokens:oA=!1}={}){const sA=this._encode_text(N),hA=this._encode_text(H);return this.post_processor?this.post_processor(sA,hA,{add_special_tokens:oA}):{tokens:(0,i.mergeArrays)(sA??[],hA??[])}}tokenize(N,{pair:H=null,add_special_tokens:oA=!1}={}){return this._tokenize_helper(N,{pair:H,add_special_tokens:oA}).tokens}encode(N,{text_pair:H=null,add_special_tokens:oA=!0,return_token_type_ids:sA=null}={}){return this._encode_plus(N,{text_pair:H,add_special_tokens:oA,return_token_type_ids:sA}).input_ids}batch_decode(N,H={}){return N instanceof o.Tensor&&(N=N.tolist()),N.map(oA=>this.decode(oA,H))}decode(N,H={}){if(N instanceof o.Tensor&&(N=p(N)),!Array.isArray(N)||N.length===0||!(0,i.isIntegralNumber)(N[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(N,H)}decode_single(N,{skip_special_tokens:H=!1,clean_up_tokenization_spaces:oA=null}){let sA=this.model.convert_ids_to_tokens(N);H&&(sA=sA.filter(NA=>!this.special_tokens.includes(NA)));let hA=this.decoder?this.decoder(sA):sA.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(hA=hA.replaceAll(this.decoder.end_of_word_suffix," "),H&&(hA=hA.trim())),(oA??this.clean_up_tokenization_spaces)&&(hA=L(hA)),hA}get_chat_template({chat_template:N=null,tools:H=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const oA=this.chat_template;if(N!==null&&Object.hasOwn(oA,N))N=oA[N];else if(N===null)if(H!==null&&"tool_use"in oA)N=oA.tool_use;else if("default"in oA)N=oA.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(oA).sort()}.`)}else if(N===null)if(this.chat_template)N=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 N}apply_chat_template(N,{tools:H=null,documents:oA=null,chat_template:sA=null,add_generation_prompt:hA=!1,tokenize:NA=!0,padding:zA=!1,truncation:ge=!1,max_length:ZA=null,return_tensor:VA=!0,return_dict:ce=!1,tokenizer_kwargs:Re={},...ng}={}){if(sA=this.get_chat_template({chat_template:sA,tools:H}),typeof sA!="string")throw Error(`chat_template must be a string, but got ${typeof sA}`);let Ng=this._compiled_template_cache.get(sA);Ng===void 0&&(Ng=new r.Template(sA),this._compiled_template_cache.set(sA,Ng));const sg=Object.create(null);for(const eg of xI){const oI=this.getToken(eg);oI&&(sg[eg]=oI)}const Eg=Ng.render({messages:N,add_generation_prompt:hA,tools:H,documents:oA,...sg,...ng});if(NA){const eg=this._call(Eg,{add_special_tokens:!1,padding:zA,truncation:ge,max_length:ZA,return_tensor:VA,...Re});return ce?eg:eg.input_ids}return Eg}}class EI extends he{return_token_type_ids=!0}class ze extends he{return_token_type_ids=!0}class Ne extends he{return_token_type_ids=!0}class lI extends he{return_token_type_ids=!0}class R extends he{return_token_type_ids=!0}class gA extends he{return_token_type_ids=!0}class j extends he{return_token_type_ids=!0}class IA extends he{return_token_type_ids=!0}class aA extends he{return_token_type_ids=!0}class yA extends he{}class bA extends he{}class ae extends he{return_token_type_ids=!0;constructor(N,H){super(N,H),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class Ee extends he{return_token_type_ids=!0}class Ie extends he{}class _e extends he{}class be extends he{}class tg extends he{constructor(N,H){super(N,H),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(oA=>this.languageRegex.test(oA)),this.lang_to_token=oA=>oA}_build_translation_inputs(N,H,oA){return $e(this,N,H,oA)}}class Ag extends tg{}class lg extends he{}class Og extends he{}const gg="▁";class og extends he{padding_side="left";constructor(N,H){super(N,H),this.legacy=H.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new fg({replacement:gg,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(N){if(N===null)return null;if(this.legacy||N.length===0)return super._encode_text(N);let H=super._encode_text(gg+N.replaceAll(gg," "));return H.length>1&&H[0]===gg&&this.special_tokens.includes(H[1])&&(H=H.slice(1)),H}}class Wg extends he{}class Lg extends he{}class sI extends he{}class CI extends he{}class jg extends he{}class cI extends he{}class $g extends he{}class yg extends he{}class cg extends he{}function $e(BA,N,H,oA){if(!("language_codes"in BA)||!Array.isArray(BA.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in BA)||!(BA.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in BA)||typeof BA.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const sA=oA.src_lang,hA=oA.tgt_lang;if(!BA.language_codes.includes(hA))throw new Error(`Target language code "${hA}" is not valid. Must be one of: {${BA.language_codes.join(", ")}}`);if(sA!==void 0){if(!BA.language_codes.includes(sA))throw new Error(`Source language code "${sA}" is not valid. Must be one of: {${BA.language_codes.join(", ")}}`);for(const NA of BA.post_processor.config.single)if("SpecialToken"in NA&&BA.languageRegex.test(NA.SpecialToken.id)){NA.SpecialToken.id=BA.lang_to_token(sA);break}}return oA.forced_bos_token_id=BA.model.convert_tokens_to_ids([BA.lang_to_token(hA)])[0],BA._call(N,H)}class mg extends he{constructor(N,H){super(N,H),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(oA=>this.languageRegex.test(oA)),this.lang_to_token=oA=>oA}_build_translation_inputs(N,H,oA){return $e(this,N,H,oA)}}class iI extends he{constructor(N,H){super(N,H),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(oA=>this.languageRegex.test(oA)).map(oA=>oA.slice(2,-2)),this.lang_to_token=oA=>`__${oA}__`}_build_translation_inputs(N,H,oA){return $e(this,N,H,oA)}}class Tg extends he{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(N,{return_timestamps:H=!1,return_language:oA=!1,time_precision:sA=null,force_full_sequences:hA=!0}={}){if(sA===null)throw Error("Must specify time_precision");let NA=null;const zA=H==="word";function ge(){return{language:NA,timestamp:[null,null],text:""}}const ZA=[];let VA=ge(),ce=0;const Re=this.timestamp_begin,Ng=Re+1500;let sg=[],Eg=[],eg=!1,oI=null;const dI=new Set(this.all_special_ids);for(const ag of N){const Mg=ag.tokens,Yg=zA?ag.token_timestamps:null;let rI=null,MI=Re;if("stride"in ag){const[Rg,Bg,Fg]=ag.stride;if(ce-=Bg,oI=Rg-Fg,Bg&&(MI=Bg/sA+Re),Fg)for(let dg=Mg.length-1;dg>=0;--dg){const eI=Number(Mg[dg]);if(eI>=Re){if(rI!==null&&(eI-Re)*sA<oI)break;rI=eI}}}let _g=[],uI=[];for(let Rg=0;Rg<Mg.length;++Rg){const Bg=Number(Mg[Rg]);if(dI.has(Bg)){const Fg=this.decode([Bg]),dg=Q.WHISPER_LANGUAGE_MAPPING.get(Fg.slice(2,-2));if(dg!==void 0){if(NA!==null&&dg!==NA&&!H){sg.push(_g);const eI=this.findLongestCommonSequence(sg)[0],VI=this.decode(eI);VA.text=VI,ZA.push(VA),sg=[],_g=[],VA=ge()}NA=VA.language=dg}}else if(Bg>=Re&&Bg<=Ng){const Fg=(Bg-Re)*sA+ce,dg=(0,s.round)(Fg,2);if(rI!==null&&Bg>=rI)eg=!0;else if(eg||sg.length>0&&Bg<MI)eg=!1;else if(VA.timestamp[0]===null)VA.timestamp[0]=dg;else if(dg!==VA.timestamp[0]){VA.timestamp[1]=dg,sg.push(_g),zA&&Eg.push(uI);const[eI,VI]=this.findLongestCommonSequence(sg,Eg),TI=this.decode(eI);VA.text=TI,zA&&(VA.words=this.collateWordTimestamps(eI,VI,NA)),ZA.push(VA),sg=[],_g=[],Eg=[],uI=[],VA=ge()}}else if(_g.push(Bg),zA){let Fg=(0,s.round)(Yg[Rg]+ce,2),dg;if(Rg+1<Yg.length){dg=(0,s.round)(Yg[Rg+1]+ce,2);const eI=this.decode([Bg]);m.test(eI)&&(dg=(0,s.round)(Math.min(Fg+sA,dg),2))}else dg=null;uI.push([Fg,dg])}}if("stride"in ag){const[Rg,Bg,Fg]=ag.stride;ce+=Rg-Fg}_g.length>0?(sg.push(_g),zA&&Eg.push(uI)):sg.every(Rg=>Rg.length===0)&&(VA=ge(),sg=[],_g=[],Eg=[],uI=[])}if(sg.length>0){if(hA&&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. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[ag,Mg]=this.findLongestCommonSequence(sg,Eg),Yg=this.decode(ag);VA.text=Yg,zA&&(VA.words=this.collateWordTimestamps(ag,Mg,NA)),ZA.push(VA)}let Kg=Object.create(null);const mI=ZA.map(ag=>ag.text).join("");if(H||oA){for(let ag=0;ag<ZA.length;++ag){const Mg=ZA[ag];H||delete Mg.timestamp,oA||delete Mg.language}if(zA){const ag=[];for(const Mg of ZA)for(const Yg of Mg.words)ag.push(Yg);Kg={chunks:ag}}else Kg={chunks:ZA}}return[mI,Kg]}findLongestCommonSequence(N,H=null){let oA=N[0],sA=oA.length,hA=[];const NA=Array.isArray(H)&&H.length>0;let zA=NA?[]:null,ge=NA?H[0]:null;for(let ZA=1;ZA<N.length;++ZA){const VA=N[ZA];let ce=0,Re=[sA,sA,0,0];const ng=VA.length;for(let Kg=1;Kg<sA+ng;++Kg){const mI=Math.max(0,sA-Kg),ag=Math.min(sA,sA+ng-Kg),Mg=oA.slice(mI,ag),Yg=Math.max(0,Kg-sA),rI=Math.min(ng,Kg),MI=VA.slice(Yg,rI);if(Mg.length!==MI.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let _g;NA?_g=Mg.filter((Bg,Fg)=>Bg===MI[Fg]&&ge[mI+Fg]<=H[ZA][Yg+Fg]).length:_g=Mg.filter((Bg,Fg)=>Bg===MI[Fg]).length;const uI=Kg/1e4,Rg=_g/Kg+uI;_g>1&&Rg>ce&&(ce=Rg,Re=[mI,ag,Yg,rI])}const[Ng,sg,Eg,eg]=Re,oI=Math.floor((sg+Ng)/2),dI=Math.floor((eg+Eg)/2);hA.push(...oA.slice(0,oI)),oA=VA.slice(dI),sA=oA.length,NA&&(zA.push(...ge.slice(0,oI)),ge=H[ZA].slice(dI))}return hA.push(...oA),NA?(zA.push(...ge),[hA,zA]):[hA,[]]}collateWordTimestamps(N,H,oA){const[sA,hA,NA]=this.combineTokensIntoWords(N,oA),zA=[];for(let ge=0;ge<sA.length;++ge){const ZA=NA[ge];zA.push({text:sA[ge],timestamp:[H[ZA.at(0)][0],H[ZA.at(-1)][1]]})}return zA}combineTokensIntoWords(N,H,oA=`"'“¡¿([{-`,sA=`"'.。,，!！?？:：”)]}、`){H=H??"english";let hA,NA,zA;return["chinese","japanese","thai","lao","myanmar"].includes(H)?[hA,NA,zA]=this.splitTokensOnUnicode(N):[hA,NA,zA]=this.splitTokensOnSpaces(N),this.mergePunctuations(hA,NA,zA,oA,sA)}decode(N,H){let oA;return H?.decode_with_timestamps?(N instanceof o.Tensor&&(N=p(N)),oA=this.decodeWithTimestamps(N,H)):oA=super.decode(N,H),oA}decodeWithTimestamps(N,H){const oA=H?.time_precision??.02,sA=Array.from(this.all_special_ids).at(-1)+1;let hA=[[]];for(let NA of N)if(NA=Number(NA),NA>=sA){const zA=((NA-sA)*oA).toFixed(2);hA.push(`<|${zA}|>`),hA.push([])}else hA[hA.length-1].push(NA);return hA=hA.map(NA=>typeof NA=="string"?NA:super.decode(NA,H)),hA.join("")}splitTokensOnUnicode(N){const H=this.decode(N,{decode_with_timestamps:!0}),oA="�",sA=[],hA=[],NA=[];let zA=[],ge=[],ZA=0;for(let VA=0;VA<N.length;++VA){const ce=N[VA];zA.push(ce),ge.push(VA);const Re=this.decode(zA,{decode_with_timestamps:!0});(!Re.includes(oA)||H[ZA+Re.indexOf(oA)]===oA)&&(sA.push(Re),hA.push(zA),NA.push(ge),zA=[],ge=[],ZA+=Re.length)}return[sA,hA,NA]}splitTokensOnSpaces(N){const[H,oA,sA]=this.splitTokensOnUnicode(N),hA=[],NA=[],zA=[],ge=new RegExp(`^[${F}]$`,"gu");for(let ZA=0;ZA<H.length;++ZA){const VA=H[ZA],ce=oA[ZA],Re=sA[ZA],ng=ce[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),Ng=VA.startsWith(" "),sg=VA.trim(),Eg=ge.test(sg);if(ng||Ng||Eg||hA.length===0)hA.push(VA),NA.push(ce),zA.push(Re);else{const eg=hA.length-1;hA[eg]+=VA,NA[eg].push(...ce),zA[eg].push(...Re)}}return[hA,NA,zA]}mergePunctuations(N,H,oA,sA,hA){const NA=structuredClone(N),zA=structuredClone(H),ge=structuredClone(oA);let ZA=NA.length-2,VA=NA.length-1;for(;ZA>=0;)NA[ZA].startsWith(" ")&&sA.includes(NA[ZA].trim())?(NA[VA]=NA[ZA]+NA[VA],zA[VA]=(0,i.mergeArrays)(zA[ZA],zA[VA]),ge[VA]=(0,i.mergeArrays)(ge[ZA],ge[VA]),NA[ZA]="",zA[ZA]=[],ge[ZA]=[]):VA=ZA,--ZA;for(ZA=0,VA=1;VA<NA.length;)!NA[ZA].endsWith(" ")&&hA.includes(NA[VA])?(NA[ZA]+=NA[VA],zA[ZA]=(0,i.mergeArrays)(zA[ZA],zA[VA]),ge[ZA]=(0,i.mergeArrays)(ge[ZA],ge[VA]),NA[VA]="",zA[VA]=[],ge[VA]=[]):ZA=VA,++VA;return[NA.filter(ce=>ce),zA.filter(ce=>ce.length>0),ge.filter(ce=>ce.length>0)]}}class tI extends he{}class yI extends he{}class l extends he{}class f extends he{constructor(N,H){super(N,H),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(oA=>this.languageRegex.test(oA)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(N){if(N===null)return null;const[H,...oA]=N.trim().split(this.languageRegex);if(oA.length===0)return super._encode_text(H);if(oA.length===2){const[sA,hA]=oA;return this.supported_language_codes.includes(sA)||console.warn(`Unsupported language code "${sA}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,i.mergeArrays)([sA],super._encode_text(hA))}}}class k extends he{}class b extends he{}class eA extends he{}class EA extends he{}class DA extends he{}class MA extends he{constructor(N,H){super(N,H),this.decoder=new pe({})}}class se extends he{}class me extends he{}class ve extends he{}class Ze{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:Ie,DistilBertTokenizer:yA,CamembertTokenizer:bA,DebertaTokenizer:R,DebertaV2Tokenizer:gA,BertTokenizer:EI,HerbertTokenizer:j,ConvBertTokenizer:IA,RoFormerTokenizer:aA,XLMTokenizer:ae,ElectraTokenizer:Ee,MobileBertTokenizer:Ne,SqueezeBertTokenizer:lI,AlbertTokenizer:ze,GPT2Tokenizer:_e,BartTokenizer:be,MBartTokenizer:tg,MBart50Tokenizer:Ag,RobertaTokenizer:lg,WhisperTokenizer:Tg,CodeGenTokenizer:tI,CLIPTokenizer:yI,SiglipTokenizer:l,MarianTokenizer:f,BloomTokenizer:Og,NllbTokenizer:mg,M2M100Tokenizer:iI,LlamaTokenizer:og,CodeLlamaTokenizer:Wg,XLMRobertaTokenizer:Lg,MPNetTokenizer:sI,FalconTokenizer:CI,GPTNeoXTokenizer:jg,EsmTokenizer:cI,Wav2Vec2CTCTokenizer:k,BlenderbotTokenizer:b,BlenderbotSmallTokenizer:eA,SpeechT5Tokenizer:EA,NougatTokenizer:DA,VitsTokenizer:MA,Qwen2Tokenizer:$g,GemmaTokenizer:yg,Grok1Tokenizer:cg,CohereTokenizer:se,MgpstrTokenizer:me,Ernie4_5_Tokenizer:ve,PreTrainedTokenizer:he};static async from_pretrained(N,{progress_callback:H=null,config:oA=null,cache_dir:sA=null,local_files_only:hA=!1,revision:NA="main",legacy:zA=null}={}){const[ge,ZA]=await B(N,{progress_callback:H,config:oA,cache_dir:sA,local_files_only:hA,revision:NA,legacy:zA}),VA=ZA.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer";let ce=this.TOKENIZER_CLASS_MAPPING[VA];return ce||(console.warn(`Unknown tokenizer class "${VA}", attempting to construct from base class.`),ce=he),new ce(ge,ZA)}}}),"./src/utils/audio.js":((A,g,e)=>{e.r(g),e.d(g,{RawAudio:()=>z,hamming:()=>a,hanning:()=>B,mel_filter_bank:()=>_,read_audio:()=>r,spectrogram:()=>G,window_function:()=>T});var I=e("./src/utils/hub.js"),i=e("./src/utils/maths.js"),t=e("./src/utils/core.js"),s=e("./src/env.js"),o=e("./src/utils/tensor.js"),C=e("?7992");async function r(P,tA){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. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const AA=await(await(0,I.getFile)(P)).arrayBuffer(),iA=new AudioContext({sampleRate:tA});typeof tA>"u"&&console.warn(`No sampling rate provided, using default of ${iA.sampleRate}Hz.`);const rA=await iA.decodeAudioData(AA);let CA;if(rA.numberOfChannels===2){const cA=Math.sqrt(2),uA=rA.getChannelData(0),v=rA.getChannelData(1);CA=new Float32Array(uA.length);for(let x=0;x<rA.length;++x)CA[x]=cA*(uA[x]+v[x])/2}else CA=rA.getChannelData(0);return CA}function Q(P,tA){if(P<1)return new Float64Array;if(P===1)return new Float64Array([1]);const AA=1-tA,iA=2*Math.PI/(P-1),rA=new Float64Array(P);for(let CA=0;CA<P;++CA)rA[CA]=tA-AA*Math.cos(CA*iA);return rA}function B(P){return Q(P,.5)}function a(P){return Q(P,.54)}const d={htk:P=>2595*Math.log10(1+P/700),kaldi:P=>1127*Math.log(1+P/700),slaney:(P,tA=1e3,AA=15,iA=27/Math.log(6.4))=>P>=tA?AA+Math.log(P/tA)*iA:3*P/200};function c(P,tA="htk"){const AA=d[tA];if(!AA)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof P=="number"?AA(P):P.map(iA=>AA(iA))}const p={htk:P=>700*(10**(P/2595)-1),kaldi:P=>700*(Math.exp(P/1127)-1),slaney:(P,tA=1e3,AA=15,iA=Math.log(6.4)/27)=>P>=AA?tA*Math.exp(iA*(P-AA)):200*P/3};function L(P,tA="htk"){const AA=p[tA];if(!AA)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof P=="number"?AA(P):P.map(iA=>AA(iA))}function w(P,tA){const AA=Float64Array.from({length:tA.length-1},(cA,uA)=>tA[uA+1]-tA[uA]),iA=Array.from({length:P.length},()=>new Array(tA.length));for(let cA=0;cA<P.length;++cA){const uA=iA[cA];for(let v=0;v<tA.length;++v)uA[v]=tA[v]-P[cA]}const rA=tA.length-2,CA=Array.from({length:rA},()=>new Array(P.length));for(let cA=0;cA<P.length;++cA){const uA=iA[cA];for(let v=0;v<rA;++v){const x=-uA[v]/AA[v],$=uA[v+2]/AA[v+1];CA[v][cA]=Math.max(0,Math.min(x,$))}}return CA}function u(P,tA,AA){const iA=(tA-P)/(AA-1);return Float64Array.from({length:AA},(rA,CA)=>P+iA*CA)}function _(P,tA,AA,iA,rA,CA=null,cA="htk",uA=!1){if(CA!==null&&CA!=="slaney")throw new Error('norm must be one of null or "slaney"');if(P<2)throw new Error(`Require num_frequency_bins: ${P} >= 2`);if(AA>iA)throw new Error(`Require min_frequency: ${AA} <= max_frequency: ${iA}`);const v=c(AA,cA),x=c(iA,cA),$=u(v,x,tA+2);let W=L($,cA),nA;if(uA){const RA=rA/((P-1)*2);nA=c(Float64Array.from({length:P},(vA,ie)=>ie*RA),cA),W=$}else nA=u(0,Math.floor(rA/2),P);const xA=w(nA,W);if(CA!==null&&CA==="slaney")for(let RA=0;RA<tA;++RA){const vA=xA[RA],ie=2/(W[RA+2]-W[RA]);for(let kA=0;kA<P;++kA)vA[kA]*=ie}return xA}function y(P,tA,AA){const iA=new P.constructor(P.length+tA+AA),rA=P.length-1;for(let CA=0;CA<P.length;++CA)iA[tA+CA]=P[CA];for(let CA=1;CA<=tA;++CA)iA[tA-CA]=P[(0,t.calculateReflectOffset)(CA,rA)];for(let CA=1;CA<=AA;++CA)iA[rA+tA+CA]=P[(0,t.calculateReflectOffset)(rA-CA,rA)];return iA}function M(P,tA,AA,iA,rA){if(AA<=0)throw new Error("reference must be greater than zero");if(iA<=0)throw new Error("min_value must be greater than zero");AA=Math.max(iA,AA);const CA=Math.log10(AA);for(let cA=0;cA<P.length;++cA)P[cA]=tA*Math.log10(Math.max(iA,P[cA])-CA);if(rA!==null){if(rA<=0)throw new Error("db_range must be greater than zero");const cA=(0,i.max)(P)[0]-rA;for(let uA=0;uA<P.length;++uA)P[uA]=Math.max(P[uA],cA)}return P}function F(P,tA=1,AA=1e-5,iA=null){return M(P,20,tA,AA,iA)}function m(P,tA=1,AA=1e-10,iA=null){return M(P,10,tA,AA,iA)}async function G(P,tA,AA,iA,{fft_length:rA=null,power:CA=1,center:cA=!0,pad_mode:uA="reflect",onesided:v=!0,preemphasis:x=null,preemphasis_htk_flavor:$=!0,mel_filters:W=null,mel_floor:nA=1e-10,log_mel:xA=null,reference:RA=1,min_value:vA=1e-10,db_range:ie=null,remove_dc_offset:kA=null,min_num_frames:X=null,max_num_frames:q=null,do_pad:wA=!0,transpose:LA=!1}={}){const JA=tA.length;if(rA===null&&(rA=AA),AA>rA)throw Error(`frame_length (${AA}) may not be larger than fft_length (${rA})`);if(JA!==AA)throw new Error(`Length of the window (${JA}) must equal frame_length (${AA})`);if(iA<=0)throw new Error("hop_length must be greater than zero");if(CA===null&&W!==null)throw new Error("You have provided `mel_filters` but `power` is `None`. 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Error("fromCanvas() is only supported in browser environments.");const _=w.getContext("2d").getImageData(0,0,w.width,w.height).data;return new c(_,w.width,w.height,4)}static async fromURL(w){const u=await(0,i.getFile)(w);if(u.status!==200)throw new Error(`Unable to read image from "${w}" (${u.status} ${u.statusText})`);const _=await u.blob();return this.fromBlob(_)}static async fromBlob(w){if(B){const u=await Q(w),_=C(u.width,u.height).getContext("2d");return _.drawImage(u,0,0),new this(_.getImageData(0,0,u.width,u.height).data,u.width,u.height,4)}else{const u=o(await w.arrayBuffer());return await Q(u)}}static fromTensor(w,u="CHW"){if(w.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${w.dims.length} dimensions.`);if(u==="CHW")w=w.transpose(1,2,0);else if(u!=="HWC")throw new Error(`Unsupported channel format: ${u}`);if(!(w.data instanceof Uint8ClampedArray||w.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${w.type}`);switch(w.dims[2]){case 1:case 2:case 3:case 4:return new c(w.data,w.dims[1],w.dims[0],w.dims[2]);default:throw new Error(`Unsupported number of channels: ${w.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const w=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let u=0,_=0;u<this.data.length;u+=this.channels){const y=this.data[u],M=this.data[u+1],F=this.data[u+2];w[_++]=Math.round(.2989*y+.587*M+.114*F)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(w,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const w=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let u=0,_=0;u<this.data.length;++u)w[_++]=this.data[u],w[_++]=this.data[u],w[_++]=this.data[u];break;case 4:for(let u=0,_=0;u<this.data.length;u+=4)w[_++]=this.data[u],w[_++]=this.data[u+1],w[_++]=this.data[u+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(w,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const w=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let u=0,_=0;u<this.data.length;++u)w[_++]=this.data[u],w[_++]=this.data[u],w[_++]=this.data[u],w[_++]=255;break;case 3:for(let u=0,_=0;u<this.data.length;u+=3)w[_++]=this.data[u],w[_++]=this.data[u+1],w[_++]=this.data[u+2],w[_++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(w,this.width,this.height,4)}putAlpha(w){if(w.width!==this.width||w.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${w.width}x${w.height}`);if(w.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${w.channels}`);const u=this.data,_=w.data,y=this.width*this.height;if(this.channels===3){const M=new Uint8ClampedArray(y*4);for(let F=0,m=0,G=0;F<y;++F)M[G++]=u[m++],M[G++]=u[m++],M[G++]=u[m++],M[G++]=_[F];return this._update(M,this.width,this.height,4)}else if(this.channels===4){for(let M=0;M<y;++M)u[4*M+3]=_[M];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(w,u,{resample:_=2}={}){if(this.width===w&&this.height===u)return this;let y=a[_]??_;const M=(0,I.isNullishDimension)(w),F=(0,I.isNullishDimension)(u);if(M&&F)return this;if(M?w=u/this.height*this.width:F&&(u=w/this.width*this.height),B){const m=this.channels,G=this.toCanvas(),T=C(w,u).getContext("2d");return T.drawImage(G,0,0,w,u),new c(T.getImageData(0,0,w,u).data,w,u,4).convert(m)}else{let m=this.toSharp();switch(y){case"box":case"hamming":(y==="box"||y==="hamming")&&(console.warn(`Resampling method ${y} is not yet supported. 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m=this.channels,G=this.toCanvas(),T=C(M,F).getContext("2d");return T.drawImage(G,w,u,M,F,0,0,M,F),new c(T.getImageData(0,0,M,F).data,M,F,4).convert(m)}else{const m=this.toSharp().extract({left:w,top:u,width:M,height:F});return await Q(m)}}async center_crop(w,u){if(this.width===w&&this.height===u)return this;const _=(this.width-w)/2,y=(this.height-u)/2;if(B){const M=this.channels,F=this.toCanvas(),m=C(w,u).getContext("2d");let G=0,T=0,J=0,Z=0;return _>=0?G=_:J=-_,y>=0?T=y:Z=-y,m.drawImage(F,G,T,w,u,J,Z,w,u),new c(m.getImageData(0,0,w,u).data,w,u,4).convert(M)}else{let M=this.toSharp();if(_>=0&&y>=0)M=M.extract({left:Math.floor(_),top:Math.floor(y),width:w,height:u});else if(_<=0&&y<=0){const F=Math.floor(-y),m=Math.floor(-_);M=M.extend({top:F,left:m,right:w-this.width-m,bottom:u-this.height-F})}else{let F=[0,0],m=0;y<0?(F[0]=Math.floor(-y),F[1]=u-this.height-F[0]):m=Math.floor(y);let 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J=M[G],Z=M[G+T];F[m]=J+Z,F[m+1]=0,F[m+2]=J-Z,F[m+3]=0}_singleRealTransform4(M,F,m,G,T,J){const Z=T*2,z=T*3,P=M[G],tA=M[G+T],AA=M[G+Z],iA=M[G+z],rA=P+AA,CA=P-AA,cA=tA+iA,uA=J*(tA-iA);F[m]=rA+cA,F[m+1]=0,F[m+2]=CA,F[m+3]=-uA,F[m+4]=rA-cA,F[m+5]=0,F[m+6]=CA,F[m+7]=uA}}class c{constructor(M){const F=2*(M-1),m=2*(2*M-1),G=2**Math.ceil(Math.log2(m));this.bufferSize=G,this._a=F;const T=new Float64Array(m),J=new Float64Array(G);this._chirpBuffer=new Float64Array(G),this._buffer1=new Float64Array(G),this._buffer2=new Float64Array(G),this._outBuffer1=new Float64Array(G),this._outBuffer2=new Float64Array(G);const Z=-2*Math.PI/M,z=Math.cos(Z),P=Math.sin(Z);for(let tA=0;tA<m>>1;++tA){const AA=(tA+1-M)**2/2,iA=Math.sqrt(z**2+P**2)**AA,rA=AA*Math.atan2(P,z),CA=2*tA;T[CA]=iA*Math.cos(rA),T[CA+1]=iA*Math.sin(rA),J[CA]=T[CA],J[CA+1]=-T[CA+1]}this._slicedChirpBuffer=T.subarray(F,m),this._f=new d(G>>1),this._f.transform(this._chirpBuffer,J)}_transform(M,F,m){const G=this._buffer1,T=this._buffer2,J=this._outBuffer1,Z=this._outBuffer2,z=this._chirpBuffer,P=this._slicedChirpBuffer,tA=this._a;if(m)for(let AA=0;AA<P.length;AA+=2){const iA=AA+1,rA=AA>>1,CA=F[rA];G[AA]=CA*P[AA],G[iA]=CA*P[iA]}else for(let AA=0;AA<P.length;AA+=2){const iA=AA+1;G[AA]=F[AA]*P[AA]-F[iA]*P[iA],G[iA]=F[AA]*P[iA]+F[iA]*P[AA]}this._f.transform(J,G);for(let AA=0;AA<z.length;AA+=2){const iA=AA+1;T[AA]=J[AA]*z[AA]-J[iA]*z[iA],T[iA]=J[AA]*z[iA]+J[iA]*z[AA]}this._f.inverseTransform(Z,T);for(let AA=0;AA<Z.length;AA+=2){const iA=Z[AA+tA],rA=Z[AA+tA+1],CA=P[AA],cA=P[AA+1];M[AA]=iA*CA-rA*cA,M[AA+1]=iA*cA+rA*CA}}transform(M,F){this._transform(M,F,!1)}realTransform(M,F){this._transform(M,F,!0)}}class p{constructor(M){this.fft_length=M,this.isPowerOfTwo=a(M),this.isPowerOfTwo?(this.fft=new d(M),this.outputBufferSize=2*M):(this.fft=new c(M),this.outputBufferSize=this.fft.bufferSize)}realTransform(M,F){this.fft.realTransform(M,F)}transform(M,F){this.fft.transform(M,F)}}function 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this.clone().normalize_(x,$)}stride(){return Z(this.dims)}squeeze(x=null){return new o(this.type,this.data,_(this.dims,x))}squeeze_(x=null){return this.dims=_(this.dims,x),this}unsqueeze(x=null){return new o(this.type,this.data,y(this.dims,x))}unsqueeze_(x=null){return this.dims=y(this.dims,x),this}flatten_(x=0,$=-1){$=($+this.dims.length)%this.dims.length;let W=this.dims.slice(0,x),nA=this.dims.slice(x,$+1),xA=this.dims.slice($+1);return this.dims=[...W,nA.reduce((RA,vA)=>RA*vA,1),...xA],this}flatten(x=0,$=-1){return this.clone().flatten_(x,$)}view(...x){let $=-1;for(let nA=0;nA<x.length;++nA)if(x[nA]===-1){if($!==-1)throw new Error("Only one dimension can be inferred");$=nA}const W=this.data;if($!==-1){const nA=x.reduce((xA,RA,vA)=>vA!==$?xA*RA:xA,1);x[$]=W.length/nA}return new o(this.type,W,x)}neg_(){const x=this.data;for(let $=0;$<x.length;++$)x[$]=-x[$];return this}neg(){return this.clone().neg_()}gt(x){const $=new Uint8Array(this.data.length),W=this.data;for(let 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I(s);if(o.dims.length==3&&(o=o.mean(1)),o.dims.length!=2||o.dims[0]!=s.length)throw new Error("output embedding dimension mismatch");return o});return zt.set(g,i),g}else throw new Error("invalid data type")});Sa("embedding.batch",async(A,g)=>{await zt.get(A)?.batch(g)});Sa("embedding.finalize",async A=>{let g=zt.get(A);if(g)return zt.delete(A),g.finalize()});