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data transfer to GPU

Runtime vs.number of dataloader workers and batch size

PyTorch / datasets / dataloader / data transfer to GPU – II – dataloader too slow on CPU?

Editorial hint: This post has been revised and changed in parts on March, 18th/19th/22nd, 2025, after some new tests and insights. The changes did not concern the result data of the performed experiments, but their interpretation. In the last post of this mini-series we saw that some Torchvision datasets have a directly accessible property “data“. It contains image data in… Read More »PyTorch / datasets / dataloader / data transfer to GPU – II – dataloader too slow on CPU?

Examples images from the FashionMnist dataset

PyTorch / datasets / dataloader / data transfer to GPU – I – properties of some torchvision datasets

For an old fan of Tensorflow2 it is somewhat satisfactory to notice that some problems also exist in analogous form in a PyTorch environment. Anyone who has worked with visual data knows that one needs to modify, augment and transform the image data and then load them from some storage under CPU control to the GPU’s VRAM before or during… Read More »PyTorch / datasets / dataloader / data transfer to GPU – I – properties of some torchvision datasets