Comments (4)
bowenc0221
commented on July 19, 2024
What is the version of cuda under CUDA_HOME?
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Saafke
commented on July 19, 2024
Hmm, if I do echo $CUDA_HOME, it prints an empty line
[BTW - I can run detectron2 succesfully in this environment]
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9p15p
commented on July 19, 2024
It seems that pytorch will find the potential path of CUDA_HOME itself. And if it is None, the compling will raise error. So I think it is not the key point of this error.
if CUDA_HOME is None:
raise NotImplementedError('CUDA_HOME is None. Please set environment variable CUDA_HOME.')
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ICE-Bro
commented on July 19, 2024
I solved this problem referring to 4.
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Related Issues (20)
- Correct way to deal with empty masks
- How to use gradient accumulation in training Mask2former
- Same pixel for 2 instance mask HOT 1
- Installation expects CUDA_HOME on Apple Silicon Macs HOT 1
- How to understand the output of different tasks
- Using ground truth masks instead of the predicted ones
- No module named 'MultiScaleDeformableAttention', Please compile MultiScaleDeformableAttention CUDA op HOT 2
- As for training, how long does it take?
- HAVE ANYONE MEET SUCH ERROR WHEN TRAINING ON OWN DATASET HOT 1
- batch_size doesn't affect evaluation
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- Run in colab seems that there's a ModuleNotFoundError related to the MultiScaleDeformableAttention module.
- Poor Output image quality
- Mask loss with soft labels
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