return t.to(device, dtype if t.is_floating_point() else None, non_blocking) File "D:\Application\anaconda3\lib\site-packages\torch\cuda_init.py", line 179, in _lazy_init torch._C._cuda_init() RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at ..\ate...
As I still am seeing NO_CUDA_DEVICE I've downgradedlibnvidia-container-toolsdown to version1.9.0-1too. Fingers crossed... Spoke too soon: Earth:docker start tdarr_node Error response from daemon: exec: "nvidia-container-runtime-hook": executable file not found in $PATH Error: failed to...
Error: cudaGetDeviceCount failed in paddle::platform::GetCUDADeviceCountImpl, error code : 38, Please see detail inhttps://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038:no CUDA-capable device is detected at (D:\1....
WARNING: [Torch-TensorRT] - Unable to read CUDA capable devices. Return status: 35 I0925 16:31:17.683765 1 libtorch.cc:2507] TRITONBACKEND_Initialize: pytorch I0925 16:31:17.683949 1 libtorch.cc:2517] Triton TRITONBACKEND API version: 1.15 I0925 16...
My TensorFlow is working fine giving the output I want but I get these errors which I don't understand 2022-10-11 06:15:44.446179: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2022-10-11 06:15:...
device("cuda") elif isinstance( trainer.accelerator, pl.accelerators.cpu.CPUAccelerator, ): print("using cpu acceleration") smld_device = torch.device("cpu") else: if torch.cuda.is_available(): smld_device = torch.device("cuda") else: smld_device = torch.device("cpu") print( f"...
I tried out your suggestion, using the imagetensorflow/tensorflow:2.12.0-gpu, instead oftensorflow/tensorflow:latest-gpu, but it still reports the same errorCUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected. Meanwhile, I also run nvidia driver utilitynvidia-smi. It is able to find the...
Search before asking I have searched the YOLOv8 issues and found no similar bug report. YOLOv8 Component Other Bug No GPU is found using docker image ultralytics/ultralytics:latest-arm64. python3 -c 'import torch; print(torch.cuda.is_ava...
CUDA 9.0 Cudnn 7.0 Tensorflow-gpu 1.6 nvida-smi is good Error 2018-02-08 18:14:24.768537: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this T...