Perguntas frequentes sobre o Training Compiler Solução de problemas Notas da versão Como configurar trabalhos de treinamento para acessar conjuntos de dados Configure o modo de entrada de dados usando o SDK do SageMaker Python Configure o canal de entrada de dados para usar o Amazon FSx ...
806 CompilerGym Reinforcement learning environments for compiler a summary 804 clipseg 🤗 This repository contains the code of the CVPR 2022 summary 802 maxim 🤗 [CVPR 2022 Oral] Official repository for "MAXIM: M summary 799 ddnm 🤗 [ICLR 2023 Oral] Zero-Shot Image Restoration Using summar...
"LOG (arpa2fst[5.5.1046~1-76cd5]:RemoveRedundantStates():arpa-lm-compiler.cc:359) Reduced num-states from 1217646 to 185095\n", "fstisstochastic data/lang_test_adapt/G.fst \n", "6.81902e-07 -3.03779\n", "Succeeded in formatting LM: 'data/en-us-mix.lm.gz'\n", "+ utils/mkgr...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. 📚 References: Introduction to quantization by Maxime ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. 📚 References: Introduction to quantization by Maxime ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. 📚 References: Introduction to quantization by Maxime ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. ...
SmoothQuant & ZeroQuant: New quantization-friendly transformations (SmoothQuant) and compiler-based optimizations (ZeroQuant) help mitigate outliers before quantization. They also reduce hardware overhead by fusing certain ops and optimizing dataflow. 📚 References: Introduction to quantization by Maxime ...