Dubawa
TensorRT ɗakin karatu ne na NVIDIA wanda ke tattara ƙwararrun hanyoyin sadarwa na jijiyoyi zuwa ingantattun injunan da ke aiki da sauri akan NVIDIA GPUs. Yana da mahimmanci saboda ƙirar iri ɗaya na iya tafiyar da 2-6x cikin sauri da rahusa a lokacin ƙaddamarwa ba tare da canza abin da yake annabta ba.
TensorRT da Injin Inference tubalin ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayan more rayuwa, latency, da aminci a sikeli.
Zurfafa nutsewa
Injin ƙwaƙƙwal yana ɗaukar ƙirar ƙira kuma ya sake rubuta shi don mafi saurin yuwuwar aiwatarwa akan kayan aikin da aka yi niyya. TensorRT yana yin wannan don NVIDIA GPUs ta matakai da yawa. Yana aiwatar da haɗin kai, haɗa ayyuka kamar jujjuyawa, ƙara son kai, da ReLU cikin kwaya ɗaya na GPU don yanke zirga-zirgar ƙwaƙwalwar ajiya. Yana aiki daidaitaccen daidaitawa, faduwa daga FP32 zuwa FP16 ko INT8 (da FP8 akan Hopper) yayin kiyaye daidaito. Yana gudanar da daidaitawar kwaya ta atomatik, yana nuna yawancin aiwatar da kowane Layer akan ainihin GPU ɗin ku kuma yana ɗaukar mafi sauri. Sakamako shine fayil ɗin 'injin' da aka jera wanda aka kunna zuwa gine-ginen GPU ɗaya. TensorRT-LLM yana faɗaɗa wannan tare da fakitin KV-cache, batching cikin jirgi, da daidaitawar tensor don manyan nau'ikan harshe.
Fahimtar Fasaha
Babban saurin gudu yana zuwa daga dabaru biyu. Haɗin kernel yana kawar da tafiye-tafiye-tafiye-tafiye don jinkirin ƙwaƙwalwar GPU ta duniya ta hanyar kiyaye matsakaicin sakamako a cikin rikodin sauri da ƙwaƙwalwar ajiya. Ƙididdigewa zuwa INT8 ya ƙunshi ƙima guda huɗu inda FP32 ɗaya ya zauna, kayan aikin ƙididdiga huɗu masu rubanya akan abubuwan ƙididdigewa, amma yana buƙatar saitin bayanan daidaitawa don ƙididdige abubuwan sikelin kowane-tensor ta yadda raguwar kewayon ƙididdiga ba zai lalata daidaito ba. Injin na musamman na kayan masarufi ne saboda ana yin gasa ta atomatik a cikin mafi kyawun kernels don ainihin ainihin GPU da shimfidar ƙwaƙwalwar ajiya.
Jagorar TensorRT da Injin Inference
TensorRT ɗakin karatu ne na NVIDIA wanda ke tattara ƙwararrun hanyoyin sadarwa na jijiyoyi zuwa ingantattun injunan da ke aiki da sauri akan NVIDIA GPUs. Yana da mahimmanci saboda ƙirar iri ɗaya na iya tafiyar da 2-6x cikin sauri da rahusa a lokacin ƙaddamarwa ba tare da canza abin da yake annabta ba. TensorRT da Injin Inference tubalin ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayan more rayuwa, latency, da aminci a sikeli. Don gina fahimta mai zurfi, bi da TensorRT da Inference Engines a matsayin samfurin aiki, ba nau'i ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da kuma raba abin da tsarin zai iya yi a dogara daga abin da har yanzu yana buƙatar yanke hukunci na gwani.
A aikace, ƙungiyoyi masu ƙarfi da ke amfani da TensorRT da Injin Inference suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa tare da dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Canza samfurin gano abin YOLO zuwa injin TensorRT INT8 don haka yana gudana cikin ainihin lokaci akan NVIDIA Jetson a cikin robot ko kyamara mai wayo.
Bauta wa samfurin Llama ko Mistral tare da TensorRT-LLM ta amfani da batching a cikin jirgin don haɓaka alamomi-da biyu akan H100 GPUs a cikin bayanan bayan chatbot.
Haɓaka samfurin gane magana tare da daidaitaccen FP16 don yanke jinkirin rubutu a cikin sabis na yin taken kai tsaye.
Ƙirƙirar hanyar sadarwa mai ba da shawara zuwa injin TensorRT mai haɗaka don ɗaukar miliyoyin buƙatun a sakan daya a ƙananan farashin GPU.
Hanyoyin Aiwatarwa
TensorRT da Injin Inference a aikace
Canza samfurin gano abu na YOLO zuwa injin TensorRT INT8 don haka yana gudana a ainihin lokacin akan NVIDIA Jetson a cikin robot ko kyamara mai hankali.
Canza samfurin gano abu na YOLO zuwa injin TensorRT INT8 don haka yana gudana cikin ainihin lokaci akan NVIDIA Jetson a cikin robot ko kyamarori Kungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da kuma bin diddigin duk abubuwan da aka samu da ƙimar kuɗi akan lokaci.
TensorRT da Injin Inference a aikace
Hidimar samfurin Llama ko Mistral tare da TensorRT-LLM ta yin amfani da batching a cikin jirgin don haɓaka alamun-da-biyu akan H100 GPUs a cikin bayanan baya na chatbot.
Hidimar samfurin Llama ko Mistral tare da TensorRT-LLM ta amfani da batching cikin jirgin sama don haɓaka alamun-da-biyu akan H100 GPUs a cikin ƙungiyoyin baya na chatbot yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
TensorRT da Injin Inference a aikace
Haɓaka samfurin gane magana tare da daidaitaccen FP16 don yanke jinkirin rubutu a cikin sabis na yin taken rai.
Ƙirƙirar ƙirar fahimtar magana tare da daidaitattun FP16 don yanke lat ɗin rubutu a cikin sabis na yin taken raye-raye Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
TensorRT da Injin Inference a aikace
Ƙirƙirar hanyar sadarwa mai ba da shawara zuwa injin TensorRT mai haɗaka don ɗaukar miliyoyin buƙatun daƙiƙa ɗaya a ƙananan farashin GPU.
Ƙirƙirar hanyar sadarwa mai ba da shawara zuwa injin TensorRT mai haɗaka don ɗaukar miliyoyin buƙatun daƙiƙa guda a ƙananan farashin GPU Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da kuma bin diddigin nasarorin yawan aiki da ƙimar kuɗi a kan lokaci.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.