Comments (2)
Same question. Have you reached a conclusion? Thx
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Stick an explanation:
Shuffle in the DistributedSampler is true(default). If you set shuffle in the DistributedSampler to true, you do not need to set shuffle in the DataLoader that uses the sampler, because the DistributedSampler generates different random seeds for each process in a distributed environment to mess up the data. Therefore, in a distributed environment, it is recommended to set the shuffle only in the DistributedSampler.
from swav.
Related Issues (20)
- Degraded DCv2 Training Loss
- [Discussion] Can I use DeepClusterV2 for the sole purpose of learning to cluster unlabelled dataset? HOT 1
- Is it possible to use a pretrained ResNet50 for SWAV for custom dataset? HOT 2
- How can I load DeepCluster-v2?
- instability with prediction while using resnet 50 pretrained model HOT 1
- About the format of dataset
- image segmentation
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- how to prepare the training data? HOT 1
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- ImageNet pretraining size
- About Loss function. HOT 1
- A question about batch_size and nmb prototypes HOT 1
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