TensorRT na Injin Inference
TensorRT bụ ọba akwụkwọ NVIDIA na-achịkọta netwọkụ akwara azụrụ n'ime injin kachasị mma nke na-agba ọsọ ọsọ na NVIDIA GPUs.
Nchịkọta
It matters because the same model can run 2-6x quicker and cheaper at inference time without changing what it predicts.
Ime miri emi
Injin inference na-ewere ụdị a zụrụ azụ wee degharịa ya maka ogbugbu kacha ngwa ngwa na ngwaike ebumnuche. TensorRT na-eme nke a maka NVIDIA GPU site n'ọtụtụ usoro. Ọ na-eme ngwakọta oyi akwa, na-ejikọta ọrụ dị ka convolution, bias-add, na ReLU n'ime otu GPU kernel iji belata okporo ụzọ ebe nchekwa. Ọ na-emetụta nhazi nhazi nkenke, na-agbada site na FP32 ruo FP16 ma ọ bụ INT8 (yana FP8 na Hopper) ka ọ na-echekwa izi ezi. Ọ na-emegharị kernel auto-tuning, benchmarking ọtụtụ mmejuputa iwu nke ọ bụla oyi akwa na gị kpọmkwem GPU na-ewere kasị ọsọ. Nsonaazụ bụ faịlụ 'engine' nke edobere n'otu ụkpụrụ ụlọ GPU. TensorRT-LLM na-agbatị nke a site na oghere KV-peeji, batching ụgbọ elu, yana tensor parallelism maka ụdị asụsụ buru ibu.
Nghọta nka nka
Nnukwu ọsọ ọsọ na-abịa site na aghụghọ abụọ. Ngwakọta kernel na-ewepụ njem okirikiri iji belata ebe nchekwa GPU zuru ụwa ọnụ site na idobe nsonaazụ etiti na ndekọ ngwa ngwa yana ebe nchekwa ịkekọrịta. Quantization na INT8 na-achịkọta ụkpụrụ anọ ebe otu FP32 nọdụrụ ala, ntinye mgbakọ na mwepụ anọ na cores tensor, mana ọ chọrọ dataset calibration iji gbakọọ ihe mkpali ọ bụla tensor ka ọnụọgụ ọnụọgụ belatara ghara ibibi izi ezi. Injin ahụ bụ ngwaike akọwapụtara n'ihi na ịmegharị akpaaka na-eme ya na kernel kacha mma maka ezigbo isi GPU na nhazi ebe nchekwa ahụ.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke TensorRT na Injin Inference
Injin inference na-aga n'ihu na nkenke dị ala (FP8, FP4, na atụmatụ agwakọtara) yana njiri mara LLM dị ka ngbanwe nleba anya na paging KV-cache. TensorRT-LLM na ndị asọmpi dị ka vLLM na-agbakọta na prefill/decode ekewapụrụ yana batching na-aga n'ihu. Na-atụ anya mwekota tighter compiler (Torch-TensorRT, ONNX), ọnụọgụ akpaka na obere nhazi akwụkwọ ntuziaka, yana nkwado sara mbara maka ngwakọta-nke ndị ọkachamara na-ebugharị dị ka ijere nnukwu ụdị ozi ọnụ ala bụrụ ọgụ dị ọnụ ala.
Mmejuputa n'ezie n'ụwa
Ịtụgharị ihe nchọta ihe YOLO ka ọ bụrụ injin TensorRT INT8 ka ọ na-agba ọsọ ozugbo na NVIDIA Jetson na robot ma ọ bụ igwefoto smart.
Iji TensorRT-LLM na-ejere ihe nlereanya Llama ma ọ bụ Mistral ozi site na iji batching ụgbọ elu iji bulie tokens-kwa-sekọnd na H100 GPUs na azụ azụ chatbot.
Na-ebuli ụdị nnabata okwu na izi ezi FP16 iji belata latency nke ederede na ọrụ ịde akụkọ ndụ.
Na-achịkọta netwọk nkwanye nkwanye ugwu na injin TensorRT fused iji na-edozi ọtụtụ nde arịrịọ kwa sekọnd na ọnụ ahịa GPU dị ala.
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ntinye aka AI
Ajụjụ a na-ajụkarị
What is TensorRT and Inference Engines?
TensorRT bụ ọba akwụkwọ NVIDIA na-achịkọta netwọkụ akwara azụrụ n'ime injin kachasị mma nke na-agba ọsọ ọsọ na NVIDIA GPUs. Ọ dị mkpa n'ihi na otu ihe nlereanya ahụ nwere ike na-agba ọsọ 2-6x ngwa ngwa na ọnụ ala n'oge ntinye aka na-agbanweghị ihe ọ na-ebu amụma.
Kedu ebumnuche bụ isi nke injin inference dị ka TensorRT?
Injin inference na-ewere ụdị a zụrụla azụ wee degharịa ya maka oke ọsọ na ngwaike akọwapụtara; ha anaghị azụ ụdị.
Kedu ka ngwakọta oyi akwa si eme ka ntinye aka dị ngwa?
Fusion na-ejikọta ọrụ dị ka conv, nhụsianya, na ịgbalite n'ime otu kernel ka nsonaazụ etiti na-anọ na ebe nchekwa ngwa ngwa kama edeghachi ya azụ ka ọ na-ebelata ebe nchekwa ụwa.
Kedu ihe kpatara ọnụọgụ INT8 ji achọkarị dataset mmezi?
Calibration na-eme data nnọchite anya site na ihe nlereanya iji chọpụta ihe nha nha tensor ọ bụla, yabụ oke INT8 nwere oke na-echekwa nkesa uru dị mkpa.
Kedu ihe kpatara injin TensorRT achịkọtara ji akọwapụta otu ụkpụrụ ụlọ GPU?
Na-emegharị ihe nrịbama na-akpaghị aka na GPU ebumnuche wee họrọ ndị kachasị mma, na-eme ka injin ahụ kegidere na njirimara ụlọ ahụ.
Kedu njirimara TensorRT-LLM na-enyere aka ijere ụdị asụsụ buru ibu nke ọma?
TensorRT-LLM na-agbakwunye njikarịcha LLM dị ka batching ụgbọ elu yana oghere KV-cache iji bulie ntinye n'ọtụtụ ọrụ ọgbọ ederede.