code_test/configs/fp16

• Mixed Precision Training
• • Introduction
  • Results and Models

Mixed Precision Training

Introduction

@article{micikevicius2017mixed,
  title={Mixed precision training},
  author={Micikevicius, Paulius and Narang, Sharan and Alben, Jonah and Diamos, Gregory and Elsen, Erich and Garcia, David and Ginsburg, Boris and Houston, Michael and Kuchaiev, Oleksii and Venkatesh, Ganesh and others},
  journal={arXiv preprint arXiv:1710.03740},
  year={2017}
}

Results and Models

Architecture	Backbone	Style	Conv	Lr schd	Mem (GB)	Inf time (fps)	box AP	mask AP	Config	Download
Faster R-CNN	R-50	pytorch	-	1x	3.4	28.8	37.5	-	config	model | log
Mask R-CNN	R-50	pytorch	-	1x	3.6	24.1	38.1	34.7	config	model | log
Mask R-CNN	R-50	pytorch	dconv(c3-c5)	1x	3.0		41.9	37.5	config	model | log
Mask R-CNN	R-50	pytorch	mdconv(c3-c5)	1x	3.1		42.0	37.6	config	model | log
Retinanet	R-50	pytorch	-	1x	2.8	31.6	36.4		config	model | log