Comments (3)
Hi authors, thanks for releasing the code! I am currently facing issues while running this repo on GPU (it's working on CPU but it takes forever). I think the problem is with the required version of jax and cuda support.
Can you please provide more details regarding the CUDA version and NVIDIA drivers that you are using for jax 0.2.26? TIA
hi, i had solved the problem.here is my solution that may help you:
To keep the version with the same as hypernerf:
pip install --upgrade jax==0.2.20 jaxlib==0.1.71+cuda111 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
pip install flax==0.3.6
And be careful this command which can upgrade the jax and jaxlib:
pip install --upgrade "jax[cuda]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
By the way, you can execute the command to verify:
python -c "import jax;print(jax.devices())"
if work, it will print like this:
[GpuDevice(id=0, process_index=0), GpuDevice(id=1, process_index=0), GpuDevice(id=2, process_index=0), GpuDevice(id=3, process_index=0)]
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I am having the same problem.
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Hi, thank you for your interest in our work! Our environment should be exactly the same as HyperNeRF. For CUDA we used 11.3, and for Jax we used 0.2.27, but we are aware that this specific Jax version seems to have been removed from the Jax wheel. Did you encounter any issues when installing the environment?
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Related Issues (18)
- Question about configs and skewness hyperparameters HOT 2
- The final results on camera_shadow dataset HOT 1
- May I ask that there are many zip files of songs in the data directory you provided, what do they mean? If I want to train by myself, which zip files should I download?
- run python eval.py HOT 1
- How can I get the same video file as the project page after training? I only have some runtime_eval png files. Thanks HOT 3
- May I ask why there is no static background rendering in the result of using hypernerf to render the dynamic part? HOT 1
- Thank you for your work, I have a question, why does this take so long to train, or the configuration required is so high. HOT 1
- May I ask whether the dynamic Hypernerf module and the static NeRF module are optimized together, or only one optimizer is used HOT 1
- Colmap calibration. HOT 1
- Comparison to NSFF HOT 13
- Adaptivity to other dynamic datasets HOT 1
- Generate novel views HOT 1
- Protobuf version HOT 1
- Artifacts forming on the border of the rendered images HOT 3
- Pillow model HOT 2
- Error when training/rendering with 8 GPUs HOT 1
- How to save rendering results as ply? HOT 6
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