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TUI-NICR / ESANet

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
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The fps cannot reach 29.7 on agx by tensorrt #32

Closed hlyf-xs closed 2 years ago

hlyf-xs commented 2 years ago

This's a great project, It shows only 15.16 fps which I run the ESANet-R34-NBt1D model on the jetson AGX by tensorrt. I confused where wrong

danielS91 commented 2 years ago

There is something wrong - it is way too slow.

Which version of Jetpack, TensorRT, and PyTorch are you using? However, without sharing the command-line call including all passed parameters, it is not possible to identify any reason.

hlyf-xs commented 2 years ago

Sorry for the late reply, It shows only 15.16 fps when I use the environment which Jepack4.5,TensorRT 7.1.3, cuda10.2 and Pytorch 1.17.0, and the command-line is "python inferrence_time_whole_model.py --dataset nyuv2 --no_time_pytorch --no_time_onnxruntime --trt_floatx 16"

------------------ 原始邮件 ------------------ 发件人: "Daniel @.>; 发送时间: 2021年12月10日(星期五) 下午4:12 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [TUI-NICR/ESANet] The fps cannot reach 29.7 on agx by tensorrt (Issue #32)

There is something wrong - it is way too slow.

Which version of Jepack, TensorRT and PyTorch are you using? However, without sharing the command-line call including all passed parameters, it is not possible to identify any reason.

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hlyf-xs commented 2 years ago

There is something wrong - it is way too slow.

Which version of Jetpack, TensorRT, and PyTorch are you using? However, without sharing the command-line call including all passed parameters, it is not possible to identify any reason.

how can I identify the reason?