I needed to compile and debug a CUDA ".cu" file on my Windows 10 Pro with a Nvidia Quadra 2000 GPU card (yes, an old HP Z600 workstation with an old GPU). Installing CUDA 10.2, the last Quadro 2000 driver (377.83 from 2017) with Visual Studio 2019 worked great.
Until I needed to debug.
As the majority of my code base is in Java, integrating my Python machine learning algorithms can sometimes be a challenge.
Udacity Machine Learning Nano Degree (MLND), Capstone Project, December 2018
This project will create a Convolutional Neural Network (CNN) model using supervised training to detect intruders from static images taken from an IP Camera.
Domain Background
Machine Learning Engineer Nanodegree
from Udacity.com
Issued to: Austin Davis Holiday
December 21, 2018
At some point after using my Keras configured Tensorflow, my GPU server becomes unusable, with a load over 10, from a IRQ/133-nvidia process. It isn't possible to KILL the process and I end up having to reboot.
