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The issue of CUDA memory usage during training #8

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Li-4 opened this issue Mar 21, 2024 · 3 comments
Open

The issue of CUDA memory usage during training #8

Li-4 opened this issue Mar 21, 2024 · 3 comments

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@Li-4
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Li-4 commented Mar 21, 2024

Firstly, thank you for your outstanding work and contribution.
I found that when training on the 3D dataset of 801Liver, the memory usage was very high, reaching 29140 MiB.
May I ask if this is normal?

@eclipse0922
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eclipse0922 commented Mar 22, 2024

I'm not the author, but for reference
The current implementation does not match the paper.
#6

@MrBlankness
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MrBlankness commented Mar 29, 2024

Firstly, thank you for your outstanding work and contribution. I found that when training on the 3D dataset of 801Liver, the memory usage was very high, reaching 29140 MiB. May I ask if this is normal?

Perhaps this is an inherent issue with nnU-Net. If it's truly impossible to meet the memory requirements, we suggest using only the network model itself that we proposed, rather than employing the associated training pipeline.

@xwgit2023
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请问有在二维数据集上跑,图片尺寸是多少,我发现256*256特别慢

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