Uqeqesho lweeNkqubo zeNkqubo zeNkqubo ezinjenge CNNs, abaguquleli abancinci kunye neGANs kwi NVIDIA Tesla P40 (24 GB VRAM, uyilo lwePascal). Abancedisi beGPU abakwazi ukuthengwa; qhagamshelana nathi ukuze uqinisekiswe xa bekhona.
$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# Umzekelo wofakelo lomyalelo
Ukufunda okunzulu kufuna unikezelo lwe GPU ukuqeqesha uthungelwano lwe neuron kwixesha elifanelekileyo. Umncedisi we GPU unika i GPU enye yeengxelo zakho.
I-PyTorch, i-TensorFlow, i-JAX okanye nayiphi na inkqubo ye-CUDA eqhubeka ixhasa i-Pascal GPUs.
I-GPU ayinikezelwanga, ngoko ke, uqeqesho lwesantya aluxhomekekanga kubathengi abathile.
Indawo yobuchule obuphakathi bukhulu kunye nobukhulu boluhlu.
Umncedisi oqhubekayo angaqhuba imisebenzi yoqeqesho ende; gcina iindawo zokukhangela njengoko uhamba.
Deep Learning inokusebenzisa i NVIDIA GPU ukukhawulezisa umsebenzi wayo. VPS.org GPU abancedisi abafumanekanga ukucela ngoku; qhagamshelana nathi ukuva xa bekhona. Deep Learning yi GPU- ekhawulezayo yomsebenzi oqhelekileyo. Qinisekisa ukuba udweliso lwenkqubo luxhaswe yi CUDA kwaye ukuba umqhubi wakho / uguqulelo lwexesha lokusebenza luhambelana neemfuno zomsebenzi womsebenzi we Deep Learning.
Abancedisi be-GPU abafumanekanga ukucela ngoku. Namhlanje ungaqhuba i-Deep Learning kwi-CPU eqhelekileyo, apho isebenza khona ngokucothayo kune-GPU: SSH ngaphakathi kwaye uqhube i-pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())".
Iimfuneko ze-VRAM ze-Deep Learning zixhomekeke kwimodeli kunye nobungakanani beqela; khangela ushicilelo lweprojekthi yemifanekiso yangoku.
Ixabiso le-GPU liza kupapashwa xa iiseva ze-GPU zingafunyanwa. Xhulumanisa nathi ukuba ufuna ukuva xa oku kwenzeka.
Ewe. Isincedisi ngasinye se-VPS.org sifika sinee-root access ezipheleleyo, ngoko ungaqhuba ezinye izixhobo kunye ne-Deep Learning ngaphakathi kwe-RAM yeseva kunye nokugcina.
Yonke i VPS.org umncedisi ifika nge root SSH unikezelo olupheleleyo, ngoko ungafaka abaqhubi, iincwadi ze Deep Learning nokuba ufuna njani.
Hayi. Akukho mncedisi ufika nexesha lokuqhuba le-CUDA okanye umqhubi we-NVIDIA ofakwe ngaphambili, kwaye abancedisi be-GPU abafumanekanga ukucela ngoku. Ufaka uguqulelo lwe-Deep Learning olufunayo ngokwakho.
Ewe. Abancedisi be-VPS.org basebenza njengezimatshini ezibonakalayo eziqhubekayo, azikho iziganeko ezikhawulezayo: iimodyuli ze-Deep Learning, iinkqubo zokumiselwa kwenkqubo kunye nedata zihlala kwi-SSD yokugcina yeseva de uzicime.
Gcina i-data esebenza kwi-SSD yomncedisi ukufikelela ngokukhawuleza ngexesha lokusebenza kwe-Deep Learning, kwaye ukope i-artifacts egqityiweyo (isisindo, u Generations, i-embeddings) ukugcinwa ngaphandle kwe-VPS.org; iifoto ezikhawulezayo kunye nokhuseleko luhlala kwiqela elinye lokugcina.
Unganyusa nayiphi na iseva ye-VPS.org ibe yinkqubo enkulu ukusuka kwiqela lenjongo yolawulo; ubungakanani obutsha buqala kwakhona kwaye ukufaka kwe-Deep Learning kugqitha. Iiseva ze-GPU azifumanekanga ngoku.
Ewe. Iindawo zokugcina zihlawulwe zidityaniswe (ngosuku +30% yexabiso lenkqubo, igcinwe iintsuku ezi-7; ngeveki +20%, igcinwe iintsuku ezi-28) kwaye iifoto ezikhawulezayo zikhululekile, eziluncedo phambi kwe Deep Learning ende iqhuba. Zonke zihlala kwiqela lokugcina elifanayo njengeseva.
Nxibelelana noncedo ngaphakathi kweentsuku ezingama-30 zokuthengiswa kwakho kokuqala ukuze ucele ubuyiselo. Iiseva ze-GPU azithengwanga, ngoko akukho mfuneko yokuthumela i-GPU.
Ubungakanani be-GPU bumiselwe. Sixelele malunga nobunzima bomsebenzi wakho kwaye siza kuphendula ngokufumaneka nokuthengiswa.