Comments (3)
RongKaiWeskerMA
commented on July 21, 2024
what I found was that even if you use one gpu, the training speed is as slow as using cpu, I am not sure if multi-gpu help, because most of the time the program was running on cpu I guess
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dragen1860
commented on July 21, 2024
Hi, since MAML is involed in 2nd order derivative, it's common to see very slow compared with general supervised learning.
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jqnap
commented on July 21, 2024
May I know how long it takes to train omniglot dataset to 40000 epochs?
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Related Issues (20)
- why use custom grad clip function?
- omniglot dataset download error HOT 1
- Does the hessian really gets computed? HOT 1
- Can you please add a 1-d CNN model to the learner.
- Incorrect losses_q HOT 3
- about dataset spiltting
- create_graph parameter is False hence first-order MAML? HOT 1
- Asking about inner and outer loop
- 您好，对于代码有两个问题，请教您一下，谢谢 HOT 3
- About training and testing HOT 6
- can you offer us your requirements of environment?
- Why is `for epoch in range(args.epoch // 10000):` HOT 2
- Why the code for Learner is so complicated? HOT 1
- 请问模型权值文件在哪里进行保存？代码在哪里？ HOT 1
- debug
- Using the Learner object for my project, Loss not behaving at its best
- About accuracy HOT 6
- What is the backup file for and what is the reference navie5 in navie5?
- 准确率不变 HOT 4
- 训练自己的数据集
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