Run the nvidia-smi command. Get the name/model of your NVidia card, then find it on this page: https://developer.nvidia.com/cuda-gpus So below, you can see my GeForce GTX 950 has a computer power of 5.0: The reason for checking this was from a blog on Medium regarding TensorFlow. It said: Check for compatibility of your graphics card. […]
PyTorch is a machine learning package for Python. This code sample will test if it access to your Graphical Processing Unit (GPU) to use “CUDA” <pre>from __future__ import print_function import torch x = torch.rand(5, 3) print(x) if not torch.cuda.is_available(): print ("Cuda is available") device_id = torch.cuda.current_device() gpu_properties = torch.cuda.get_device_properties(device_id) print("Found %d […]
C:\Program Files\NVIDIA Corporation\NVSMI>nvidia-smi Sun Nov 24 13:35:47 2019 +—————————————————————————–+ | NVIDIA-SMI 441.22 Driver Version: 441.22 CUDA Version: 10.2 | |——————————-+———————-+———————-+ | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 950M WDDM | 00000000:01:00.0 Off | N/A […]