GitHub - anderskm/gputil: A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
![tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow](https://i.stack.imgur.com/N3KOP.jpg)
tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow
![Program turns into zombie process when killed using `ctrl-c` · Issue #659 · facebookresearch/maskrcnn-benchmark · GitHub Program turns into zombie process when killed using `ctrl-c` · Issue #659 · facebookresearch/maskrcnn-benchmark · GitHub](https://user-images.githubusercontent.com/10518587/55867787-bf684280-5bb5-11e9-8d48-658b46e58382.png)
Program turns into zombie process when killed using `ctrl-c` · Issue #659 · facebookresearch/maskrcnn-benchmark · GitHub
![When I shut down the pytorch program by kill, I encountered the problem with the GPU - PyTorch Forums When I shut down the pytorch program by kill, I encountered the problem with the GPU - PyTorch Forums](https://discuss.pytorch.org/uploads/default/optimized/2X/a/a0ec18a70f87ef997ed4344843f91adb5417fb57_2_1024x724.png)
When I shut down the pytorch program by kill, I encountered the problem with the GPU - PyTorch Forums
![Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium](https://miro.medium.com/v2/resize:fit:1400/1*q7mCQf9a3icNBIFYAe_OcQ.png)
Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium
![How to dedicate your laptop GPU to TensorFlow only, on Ubuntu 18.04. | by Manu NALEPA | Towards Data Science How to dedicate your laptop GPU to TensorFlow only, on Ubuntu 18.04. | by Manu NALEPA | Towards Data Science](https://miro.medium.com/v2/resize:fit:1200/1*uXtMhXM5fmKS1JEwOoV6Zw.png)
How to dedicate your laptop GPU to TensorFlow only, on Ubuntu 18.04. | by Manu NALEPA | Towards Data Science
![Parallel training with 4 cards 4090 cannot be performed on AMD 5975WX, stuck at the beginning - CUDA Programming and Performance - NVIDIA Developer Forums Parallel training with 4 cards 4090 cannot be performed on AMD 5975WX, stuck at the beginning - CUDA Programming and Performance - NVIDIA Developer Forums](https://global.discourse-cdn.com/nvidia/original/3X/3/a/3aac0892a6c6fc5aed6af6d2d872d57ec453258a.png)