The Dataflux Accelerated Dataloader for PyTorch with GCS is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. Using the Dataflux Accelerated Dataloader for training is up to 3X faster when the dataset consists of many small files (e.g., 100 - 500 KB).
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Updating the dataflux_pytorch with updated dataflux_client_python #100
Updating the submodule (dataflux_client_python) in dataflux_pytorch to fix build failures.