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[Linux] Increase Swap Space Using Commands to Prevent Memory Exhaustion

What is Swap?

Swap space plays an important role in Linux operating systems. It can be understood as a virtual memory space, where its name implies the act of swapping. Swap allows for temporarily writing less frequently used data to a fixed hard disk space to ensure stable system operation when the physical memory (RAM) is insufficient — this space is Swap.

Read More »[Linux] Increase Swap Space Using Commands to Prevent Memory Exhaustion

[Solved] UserWarning: CUDA initialization: CUDA unknown error – this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at …/c10/cuda/CUDAFunctions.cpp:109.) return torch._C._cuda_getDeviceCount() > 0

Problem

Today when I training the model on my server, I write an GPU parallel training script, and input the newest training data; but in the process of training, I got an error message about “GPU not found“. After I using torch.cuda.is_available() to check my device, I got another error message as following:

Read More »[Solved] UserWarning: CUDA initialization: CUDA unknown error – this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at …/c10/cuda/CUDAFunctions.cpp:109.) return torch._C._cuda_getDeviceCount() > 0

[Solved] NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.

Problem

Recently, when I re-configure my work environment, I install the Nvidia GPU driver. But after installation and reboot, I cannot use nvidia-smi command to get the GPU information. The only one message is:

Read More »[Solved] NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.