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torch.cuda.current_device()` always return 0 - autograd - PyTorch Forums
torch.cuda.current_device()` always return 0 - autograd - PyTorch Forums

torch.cuda.DeferredCudaCallError: CUDA call failed lazily at initialization  with error: device >= 0 && device < num_gpus - PyTorch Forums
torch.cuda.DeferredCudaCallError: CUDA call failed lazily at initialization with error: device >= 0 && device < num_gpus - PyTorch Forums

Cuda version problem, torch.cuda.is_available() returns false - PyTorch  Forums
Cuda version problem, torch.cuda.is_available() returns false - PyTorch Forums

Torch.cuda.is_available() is always False for 12.1 - windows - PyTorch  Forums
Torch.cuda.is_available() is always False for 12.1 - windows - PyTorch Forums

Torch.cuda.is_available() is False for cuda 11.4 on Xavier Nx - deployment  - PyTorch Forums
Torch.cuda.is_available() is False for cuda 11.4 on Xavier Nx - deployment - PyTorch Forums

Element-wise operations between two convolution cause memory leak - PyTorch  Forums
Element-wise operations between two convolution cause memory leak - PyTorch Forums

python - torch.cuda.is_available() is False only in Jupyter Lab/Notebook -  Stack Overflow
python - torch.cuda.is_available() is False only in Jupyter Lab/Notebook - Stack Overflow

Torch.cuda.is_available() returns False on ssh server with NVIDIA GPU -  PyTorch Forums
Torch.cuda.is_available() returns False on ssh server with NVIDIA GPU - PyTorch Forums

CUDA memory leak while training - PyTorch Forums
CUDA memory leak while training - PyTorch Forums

python - CUDA. torch.cuda.is_available() returns True but my code returns  No CUDA GPUs are available - Stack Overflow
python - CUDA. torch.cuda.is_available() returns True but my code returns No CUDA GPUs are available - Stack Overflow

Torch.cuda.is_available() is TRUE But No CUDA GPUs are available - PyTorch  Forums
Torch.cuda.is_available() is TRUE But No CUDA GPUs are available - PyTorch Forums

Do I need add torch.cuda.stream in such forward function? - distributed -  PyTorch Forums
Do I need add torch.cuda.stream in such forward function? - distributed - PyTorch Forums

Installing PyTorch Geometric w.r.t. CUDA Version | Of Shaders & Triangles
Installing PyTorch Geometric w.r.t. CUDA Version | Of Shaders & Triangles

Torch.cuda.is_available() is false for cuda 11.8 - PyTorch Forums
Torch.cuda.is_available() is false for cuda 11.8 - PyTorch Forums

Unable to clear CUDA cache - nlp - PyTorch Forums
Unable to clear CUDA cache - nlp - PyTorch Forums

anaconda - torch.cuda.is_available() returning false with Ubuntu 16.04 -  Stack Overflow
anaconda - torch.cuda.is_available() returning false with Ubuntu 16.04 - Stack Overflow

RuntimeError: Attempting to deserialize object on a CUDA device but torch. cuda.is_available() is False - PyTorch Forums
RuntimeError: Attempting to deserialize object on a CUDA device but torch. cuda.is_available() is False - PyTorch Forums

Why .cuda() always allocate GPU:0? - PyTorch Forums
Why .cuda() always allocate GPU:0? - PyTorch Forums

python - how to fix the torch.cuda.is_available() False problem without  restarting the machine? - Stack Overflow
python - how to fix the torch.cuda.is_available() False problem without restarting the machine? - Stack Overflow

About cuda.is_available() error · Issue #1252 ·  AUTOMATIC1111/stable-diffusion-webui · GitHub
About cuda.is_available() error · Issue #1252 · AUTOMATIC1111/stable-diffusion-webui · GitHub

CUDA memory not released by torch.cuda.empty_cache() - distributed -  PyTorch Forums
CUDA memory not released by torch.cuda.empty_cache() - distributed - PyTorch Forums

I have 8 GPUs ,buyt why my torch.cuda.device_count() return only 1? -  deployment - PyTorch Forums
I have 8 GPUs ,buyt why my torch.cuda.device_count() return only 1? - deployment - PyTorch Forums

Torch.cuda.is_available() gives false for cuda11.3 - PyTorch Forums
Torch.cuda.is_available() gives false for cuda11.3 - PyTorch Forums

Pytorch for cuda 10.2 - PyTorch Forums
Pytorch for cuda 10.2 - PyTorch Forums

PyTorch CUDA - The Definitive Guide | cnvrg.io
PyTorch CUDA - The Definitive Guide | cnvrg.io