code: def _load_data(filepath):
    
    with h5py.File(filepath, "r") as h5dataset:
      image_array = np.array(h5dataset["images"])
      # The 'label' data set in the hdf5 file actually contains the float values
      # and not the class labels.
      values_array = np.array(h5dataset["labels"])
    return image_array, values_array
docs: Loads the images and latent values into Numpy arrays.