Comments (4)
Hi, we have tested the code with NVIDIA Driver Version 450.80.02, and CUDA Version 11.0.
What is the error reported in your case?
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I built a docker following Dockerfile
of the official nvdiffrast οΌand I could run the demo in a sever with nvidia driver 450.102.04. However, when I used other server with nvidia driver 450.80 and CUDA Version 11.0 , it occured [F glutil.cpp:338] eglInitialize() failed
. Is EGL related to the system environment besides the docker?
from deep3dfacerecon_pytorch.
Hi, could you try to install the OpenGL related libraries directly in the system environment to see if it works?
from deep3dfacerecon_pytorch.
Hello, YuDeng!
Can u show me the environment.yml of CUDA 11.0, I need the versions of some package. Thanks a lot!
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Related Issues (20)
- RuntimeError: Cuda error: 304[cudaGraphicsGLRegisterBuffer(&s.cudaPosBuffer, s.glPosBuffer, cudaGraphicsRegisterFlagsWriteDiscard);] HOT 1
- ValueError: Unknown CUDA arch (8.9) or GPU not supported
- On the issue of differences in training visualization and testing effectiveness
- False error in training
- FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/face_recon/epoch_latest.pth'
- Use this project with recent GPU ? HOT 6
- Open mouth HOT 2
- A little confusion about mask used for computing feat loss HOT 1
- Pretrained model
- No module named 'models.arcface_torch' HOT 1
- RuntimeError: CUDA error: no kernel image is available for execution on the device
- ImportError: DLL load failed HOT 2
- RuntimeError: Error building extension 'nvdiffrast_plugin_gl': ninja: error: build.ninja:3: lexing error HOT 1
- What does align_img do in test.py? HOT 1
- error while running HOT 1
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd3 in position 1454: invalid continuation byte
- ImportError: libtorch_cpu.so: undefined symbol: iJIT_IsProfilingActive HOT 5
- resnet50-0676ba61.pth
- Thank you for your work. There is no result showing in preprocess_in_th_wild.py
- Requirements for topology files
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