ufoym / imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

how to extend to distributed training?

attitudechunfeng opened this issue 5 years ago · comments

Chunfeng Wang commented 5 years ago

If i want to use multi gpus to train the model, how should i implement it？

Oktai Tatanov commented 4 years ago

Did you find a solution?

r03922123 commented 4 years ago

I have the same question!!!

Oktai Tatanov commented 4 years ago

@r03922123 look at this: https://discuss.pytorch.org/t/how-to-use-my-own-sampler-when-i-already-use-distributedsampler/62143