example/gluon/sn_gan/data.py

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# This example is inspired by https://github.com/jason71995/Keras-GAN-Library,
# https://github.com/kazizzad/DCGAN-Gluon-MxNet/blob/master/MxnetDCGAN.ipynb
# https://github.com/apache/incubator-mxnet/blob/master/example/gluon/dc_gan/dcgan.py

import numpy as np

import mxnet as mx
from mxnet import gluon
from mxnet.gluon.data.vision import CIFAR10

IMAGE_SIZE = 64

def transformer(data, label):
    """ data preparation """
    data = mx.image.imresize(data, IMAGE_SIZE, IMAGE_SIZE)
    data = mx.nd.transpose(data, (2, 0, 1))
    data = data.astype(np.float32) / 128.0 - 1
    return data, label


def get_training_data(batch_size):
    """ helper function to get dataloader"""
    return gluon.data.DataLoader(
        CIFAR10(train=True, transform=transformer),
        batch_size=batch_size, shuffle=True, last_batch='discard')