Iinjineli zikaFacebook zipapashe i-transcompiler
Ukuphunyezwa kwenkqubo yokufunda koomatshini kusekelwe kwiPytorch. Iimodeli ezimbini esele zenziwe ukuba zikhutshelwe:
C ++ ukuya kwiPython, iPython ukuya kwiC ++ kunye nePython ukuya kwiJava. Ukuqeqesha iimodeli, sasebenzisa iikhowudi zomthombo weeprojekthi ezifakwe kwiGitHub. Ukuba uyanqweneleka, imifuziselo yoguqulo inokwenziwa kwezinye iilwimi zokucwangcisa. Ukujonga umgangatho wokusasazwa, ingqokelela yeemvavanyo zeyunithi ilungiselelwe, kunye ne-suite yokuvavanya ebandakanya imisebenzi ye-852 efanayo.
Kuthiwa ngokuchaneka kokuguqulwa, iTransCoder iphezulu kakhulu kubaguquleli bezorhwebo abasebenzisa iindlela ezisekelwe kwimigaqo yokuguqulwa, kwaye kwinkqubo yomsebenzi ikuvumela ukuba wenze ngaphandle kokuhlolwa kweengcali kwiingcali kumthombo kunye nolwimi ekujoliswe kulo. Uninzi lweziphoso ezivela ngexesha lokusebenza kwemodeli inokupheliswa ngokungeza izithintelo ezilula kwi-decoder ukuqinisekisa ukuba imisebenzi eyenziweyo ichanekile ngokwe-syntactically.
Abaphandi bacebise uyilo olutsha lwe-neural network "Transformer" yolandelelwano lwemodeli, apho ukuphindaphinda kutshintshwa "
umthombo: opennet.ru