Comments (4)
wZuck
commented on August 30, 2024
你好，感谢你的反馈，我们正在解决这个问题，会尽快回复。
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yangcedrus
commented on August 30, 2024
你好，关于你说的maml方法多gpu的问题，我们发现确实存在这样的问题。并且如果要修改支持多gpu的话，需要对代码进行较大的改动。我们打算在之后进行一次更新，来修复这些比较大的问题。
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ypy516478793
commented on August 30, 2024
你好，关于你说的maml方法多gpu的问题，我们发现确实存在这样的问题。并且如果要修改支持多gpu的话，需要对代码进行较大的改动。我们打算在之后进行一次更新，来修复这些比较大的问题。
好的，谢谢！
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yangcedrus
commented on August 30, 2024
MAML现在可以多gpu进行训练了。
有一个没有解决的问题是MAML在DistributedDataParallel下不能和SyncBatchNorm同时使用，我们后续会分析缺少同步操作对最终结果的影响，并寻找相应的解决办法。
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Related Issues (20)
- 数据集划分规范问题 HOT 2
- about run_test.py HOT 1
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- 使用自己数据集的时候会卡在加载训练数据集这一步 HOT 1
- https://github.com/RL-VIG/LibFewShot.git
- The computer does not have cuda, and it will report an error when running. HOT 1
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- 报错：/LibFewShot/core/data/samplers.py", line 111, in __iter__ batch = torch.stack(batch).reshape(-1) RuntimeError: stack expects each tensor to be equal size, but got [16] at entry 0 and [7] at entry 2 HOT 14
- 不管怎么搭配，程序都报错啊 HOT 1
- 请问怎么可以对一张图片进行分类？ HOT 2
- 使用miniImageNet--ravi数据集，然后ACC值为什么这么低？ HOT 5
- RENet HOT 1
- renet.yaml的backbone为ViT时的报错解决 HOT 1
- 训练日志与run_test的test数据差距过大 HOT 2
- 关于deepbdc方法的咨询 HOT 2
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