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Poisson sampling in DP DataLoader results variable batch sizes. This has been a source of confusion for many and has resulted in at least two questions on the forum (https://discuss.pytorch.org/t/arbitrary-batch-sizes-after-passing-dataloader-through-privacy-engine/161632 and https://discuss.pytorch.org/t/the-samping-of-rdp/158322)
While this has been documented in the docstrings of DPDataLoader (at https://opacus.ai/api/data_loader.html), this is not easily accessible. It might be worth adding this into Opacus FAQ (at https://opacus.ai/docs/faq)
The text was updated successfully, but these errors were encountered:
karthikprasad
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📚 Documentation
Poisson sampling in DP DataLoader results variable batch sizes. This has been a source of confusion for many and has resulted in at least two questions on the forum (https://discuss.pytorch.org/t/arbitrary-batch-sizes-after-passing-dataloader-through-privacy-engine/161632 and https://discuss.pytorch.org/t/the-samping-of-rdp/158322)
While this has been documented in the docstrings of DPDataLoader (at https://opacus.ai/api/data_loader.html), this is not easily accessible. It might be worth adding this into Opacus FAQ (at https://opacus.ai/docs/faq)
The text was updated successfully, but these errors were encountered: