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ARCC-RACE / deepracer-for-dummies

a quick way to get up and running with local deepracer training environment
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Low GPU usage during training #58

Open JustinGuese opened 4 years ago

JustinGuese commented 4 years ago

Wed Oct 9 09:39:44 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.87.00 Driver Version: 418.87.00 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GRID K520 On | 00000000:00:03.0 Off | N/A | | N/A 30C P8 17W / 125W | 46MiB / 4037MiB | 0% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 8351 C /usr/bin/python3.6 35MiB | +-----------------------------------------------------------------------------+

Is this normal? The memory usage usually stays around ~50 mb. Should be more, right?

shimin-happy commented 4 years ago

+-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.67 Driver Version: 418.67 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 105... Off | 00000000:01:00.0 Off | N/A | | N/A 67C P3 N/A / N/A | 3861MiB / 4042MiB | 10% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1477 G /usr/lib/xorg/Xorg 195MiB | | 0 8237 G compiz 93MiB | | 0 14698 C /usr/bin/python3.6 3511MiB | | 0 16100 G ...uest-channel-token=14549031769710479573 59MiB | +-----------------------------------------------------------------------------+

This is that I have.