it config --global credential.helper store

Training configuration
	
For convenience, create a TrainingConfig class containing the training hyperparameters (feel free to adjust them):


	Copied
>>> from dataclasses import dataclass


>>> @dataclass
... class TrainingConfig:
...     image_size = 128  # the generated image resolution
...     train_batch_size = 16
...     eval_batch_size = 16  # how many images to sample during evaluation
...     