Injiniyoyin Facebook sun buga na'ura mai kwakwalwa
Aiwatar da tsarin koyon injin yana dogara ne akan Pytorch. Ana ba da samfuran shirye-shiryen biyu don zazzagewa:
C++ zuwa Python, Python zuwa C++ da Python zuwa Java. Don horar da samfuran, mun yi amfani da lambobin tushe na ayyukan da aka buga akan GitHub. Idan ana so, ana iya ƙirƙira ƙirar fassara don wasu harsunan shirye-shirye. Don duba ingancin watsa shirye-shiryen, an shirya tarin gwaje-gwaje na raka'a, da kuma gwajin gwaji wanda ya haɗa da ayyuka na layi na 852.
An yi iƙirarin cewa dangane da daidaiton juzu'i, TransCoder ya fi masu fassarar kasuwanci da ke amfani da hanyoyin da suka dogara da ƙa'idodin juyawa, kuma a cikin aikin yana ba ku damar yin ba tare da ƙwararrun ƙwararrun ƙwararrun masana a cikin tushe da harshen manufa ba. Yawancin kurakurai da suka taso a lokacin aiki na samfurin za a iya kawar da su ta hanyar ƙara ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙididdiga don tabbatar da cewa ayyukan da aka samar sun kasance daidai.
Masu bincike sun ba da shawarar sabon tsarin gine-ginen cibiyar sadarwa na jijiyoyi "Transformer" don yin samfurin tsari, wanda aka maye gurbin maimaitawa da "
source: budenet.ru