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Does "transformer.py" in your repo perfom the transformations of the dataset ON THE FLY or UP-FRONT? I'd like to perform the data augmentation via various transformations of the original dataset on the fly without needing to store them in GPU: i.e., transform them on CPU and send them to GPU and throw them away after using them up for SGD. If I augment the data in a "preprocessing" fashion upfront by transforming and saving, I would run out of memory for GPU for the data sets I am dealing with.
I am curious if your code does ONLINE transformations of the original data sets that can be used for data augmentation on the fly.
Thanks for your help.
Kerkil
The text was updated successfully, but these errors were encountered:
Hi Xavier,
Does "transformer.py" in your repo perfom the transformations of the dataset ON THE FLY or UP-FRONT? I'd like to perform the data augmentation via various transformations of the original dataset on the fly without needing to store them in GPU: i.e., transform them on CPU and send them to GPU and throw them away after using them up for SGD. If I augment the data in a "preprocessing" fashion upfront by transforming and saving, I would run out of memory for GPU for the data sets I am dealing with.
I am curious if your code does ONLINE transformations of the original data sets that can be used for data augmentation on the fly.
Thanks for your help.
Kerkil
The text was updated successfully, but these errors were encountered: