docker compose up
fails with RuntimeError: Unexpected error from cudaGetDeviceCount()
#128314
Labels
module: build
Build system issues
module: cuda
Related to torch.cuda, and CUDA support in general
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
π Describe the bug
Fooocus does not appear to work anymore when ran inside docker with the latest nvidia drivers.
Run
docker compose up
Stack trace:
Versions
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 11 Pro
GCC version: Could not collect
Clang version: Could not collect
CMake version: Could not collect
Libc version: N/A
Python version: 3.10.5 (tags/v3.10.5:f377153, Jun 6 2022, 16:14:13) [MSC v.1929 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.22631-SP0
Is CUDA available: N/A
CUDA runtime version: 9.1.85
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1080
Nvidia driver version: 555.99
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
CPU:
Architecture=9
CurrentClockSpeed=3600
DeviceID=CPU0
Family=107
L2CacheSize=3072
L2CacheSpeed=
Manufacturer=AuthenticAMD
MaxClockSpeed=3600
Name=AMD Ryzen 5 3600 6-Core Processor
ProcessorType=3
Revision=28928
Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] pytorch-lightning==1.9.4
[pip3] torchmetrics==1.2.0
[pip3] torchsde==0.2.5
[conda] Could not collect
cc @malfet @seemethere @ptrblck @msaroufim
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