Comments (2)
SijanNeupane49
commented on May 24, 2024
Solved.As I have to share my GPU with another students as well so it was cuda memory error. I put again batch size to 2 and successfully finished both parts of training. I also had to use skip_validate for the later part of training as it was also showing me Cuda memory error.
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Greatest-Marx
commented on May 24, 2024
Hello, due to issues with relative import, I have changed the "from. import ops" in softgroup/ops/functions. py to "from softgroup import ops". But when I ran './tools/dist_train. sh configs/softgroup_s3di_skbone_fold5. yaml 1', an error message was reported: AttributeError: module 'softgroup. ops' has no attribute' voxelize '_ idx'。 Do you know what the reason is? Thank you in advance
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Related Issues (20)
- Circular import error HOT 1
- How to output the file for Scannet Online Benchmark?
- Low metrics during inference and resumed trainings (GPU-SHARED SERVERS) HOT 1
- ValueError: invalid literal for int() with base 10: '106.000000' HOT 1
- Train my own data error: HOT 3
- IndexError: index 1039 is out of bounds for axis 0 with size 65
- AssertionError: Empty Area_2 in training SIDIS HOT 1
- when i training stpls3d,i have some problems HOT 1
- Install issues HOT 3
- AssertionError: No instance result - results/pred_instance/scene0011_00.txt. HOT 1
- "AssertionError: empty batch" error when training your own dataset HOT 4
- What is the split strategy when working with S3DIS data set? HOT 4
- Explanation of some config parameters HOT 2
- TypeError: forward() takes 6 positional arguments but 9 were given(maybe something wrong with the source codes? HOT 1
- How to obtain voxel labels? HOT 2
- Request code to evaluate mPrec mRec mCov mWcov HOT 1
- Transform_train for custom dataset HOT 1
- Train SoftGroup on different Scenarios HOT 1
- Custom dataset visualization HOT 3
- Why do you need "force_fp32"? HOT 2
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