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jmiller656 avatar jmiller656 commented on August 12, 2024

Sorry about that, I did a bit of trickery with function pointers in order to keep data gathering somewhat abstract, in case I (or someone else) wanted to do something differently. Basically you use set_data_fn to give the model a reference to a function and arguments for the train and test sets, which will be called in order to gather batches of data during training. The arguments to be passed in will be a tuple representing the arguments to be passed into the function during training. You can see these functions being used in lines 206 and 212 of model.py. I use the splat operation (asterisk) in order to use the arguments in the function

from edsr-tensorflow.

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