Comments (6)
Can you please check how long it takes to train the multinerf using the default settings? If it also takes 20 days, there might be an issue with your environment or machine. As far as I remember, I need around 12 hours on V100S or 8 hours on A100 to train our model or multinerf.
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I found the code isn't train with GPU though i distributed one gpu.
When i change the batch_size from 1024 to 1, it can run fastly.
But both are not use gpu, they use cpu
Do you know what is the problem?
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Again, it's a good idea to try running multinerf. If you found you can not use GPU while running multinerf, it is likely due to your environment, like an incorrect jaxlib version. But if you found you can run multinerf well but failed to run our code, please let me know as it's possibly because of our bugs.
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Maybe is environment. How can i fix it?
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the problem above i have fixed.But there is another problem:
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It also looks like an environment problem. You may need to check the dependeny of packages.
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Related Issues (17)
- Comparison results in Table.1 HOT 3
- Pair Data Problem. HOT 1
- About environment! HOT 7
- About train my own datasets HOT 7
- About data supervision HOT 3
- About pycolmap HOT 5
- About the camera pose ground truth HOT 7
- Out of memory HOT 1
- about train HOT 2
- About code HOT 7
- AttributeError: module 'pycolmap' has no attribute 'SceneManager' HOT 7
- No such file or directory:'/llnerf-dataset/***/transforms.json' HOT 2
- Inquiry regarding dataset image resolutions HOT 1
- About Code RAW HOT 1
- About smooth loss HOT 5
- About the red background in rendering results HOT 2
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