Comments (2)
你好,我没试过单卡。ReID中BN的batchsize会影响最终的性能,比方说,四卡跑bs=64,那BN的bs就是16,换成单卡的话,虽然bs还是64,但BN的bs就是64了,所以区别在这里。或许你可以尝试减小bs去跑,但是lr可能需要相应去调整。Good luck!
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你好,我没试过单卡。ReID中BN的batchsize会影响最终的性能,比方说,四卡跑bs=64,那BN的bs就是16,换成单卡的话,虽然bs还是64,但BN的bs就是64了,所以区别在这里。或许你可以尝试减小bs去跑,但是lr可能需要相应去调整。Good luck!
回复的很及时,非常感谢!
from openunreid.
Related Issues (20)
- AttributeError: module 'faiss._swigfaiss' has no attribute 'delete_SwigPyIterator' HOT 1
- Difference between OpenUnReID and the original MMT's implementation HOT 2
- Something about the Sampler HOT 1
- Implement of SpCL HOT 1
- spcl+在UDA上不能复现结果
- About Leaderboard. HOT 1
- strong_basline训练到后期acc突然降到0 loss变为nan HOT 3
- Faiss assertion 'err__ == cudaSuccess' failed in void faiss::gpu::runL2Norm(faiss::gpu::Tensor<T, 2, HOT 1
- 关于num_parts的问题 HOT 3
- Validation freq HOT 3
- Question about train loader
- Question about 'jaccard distance'
- 计算三元组损失时,特征需要归一化吗,代码里没有做归一化
- 这是什么问题?
- K-means for SpCL
- Loss becomes nan when I try to train MMT for 100 epochs
- severe overfitting with a single GPU HOT 2
- Ask for help for solving faiss assertion error HOT 1
- batchsize
- super strong baseline
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