20 июн. 2018 г. · device = torch.device("cuda" if torch.cuda.is_available() else "cpu"). to set cuda as your device if possible. There are various code ... How to write torch.device('cuda' if torch.cuda.is_available() else ... How do I check if PyTorch is using the GPU? - Stack Overflow Другие результаты с сайта stackoverflow.com

13 нояб. 2018 г. · torch.cuda.is_available() is just telling you whether or not cuda is available. If it is available, that flag will remain True throughout your program.

End-to-end solution for enabling on-device inference capabilities across mobile and edge devices ... Return a bool indicating if CUDA is currently available.

7 дек. 2023 г. · Even though torch.device("cuda") and torch.device("cuda:0") refer to the same device, torch.device("cuda") == torch.device("cuda:0") gives False.

10 мар. 2024 г. · I want to use my GPU, installed pytorch and Cuda Toolkit, also CUdNN. Device is set on GPU (cuda:0) But when I train my NN, only the CPU is used.

7 янв. 2024 г. · cuda. is_available() function. If a GPU is available, it sets the device variable to "cuda" , indicating that we want to use the GPU.