Comments (5)
thangvubk
commented on May 25, 2024
You mean the memory consumption is RAM memory or GPU memory. What dataset and config are you training. Are you using the code from latest commit? I haven't encountered this problem.
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CodeWZT
commented on May 25, 2024
Thank you for reply. I mean the RAM memory. I train the model with ScanNet by default config. I have tried the latest commit, but this problem still happened.
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thangvubk
commented on May 25, 2024
Can you git log to see if commit history contains this commit b31c216: remove data prefetch. I am training now on the ScanNet dataset, and the RAM mem is stable at ~10G.
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CodeWZT
commented on May 25, 2024
Thanks for your suggestion, I will try this solution.
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thangvubk
commented on May 25, 2024
Hi. Please check the update, which support pytorch 1.11 and spconv 2.1. The memory leak problem is also fixed.
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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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