With 50% prob, negate the value

:param train_ratio: split the ratio of the origin dataset as the train set :type train_ratio: float :param origin_dataset: the origin dat

3x3 convolution with padding

Computes the accuracy over the k top predictions for the specified values of k

This function disables printing when not in master process

Decay the learning rate with half-cycle cosine after warmup

Create AugMix PyTorch transform :param config_str: String defining configuration of random augmentation. Consists of multiple sections separated

Create a AutoAugment transform :param config_str: String defining configuration of auto augmentation. Consists of multiple sections separate

1x1 convolution

Get parameters for autoaugment transformation Returns: params required by the autoaugment transformation