5d5b5c0db91b923d35bb78454b430272212699d4,models/experimental/dcgan/mnist_input.py,InputFunction,__call__,#InputFunction#Any#,63

Before Change

    // Returns discriminator input (real data), generator input (noise) generated
    // in model instead
    return images, None   // label unused by unconditional GAN


def convert_array_to_image(array):

After Change

    dataset = dataset.prefetch(2)    // Prefetch overlaps in-feed with training
    images, labels = dataset.make_one_shot_iterator().get_next()

    random_noise = tf.random_normal([batch_size, self.noise_dim])

    features = {
        "real_images": images,
        "random_noise": random_noise}

    return features, labels

Instances