cifar_using_tfdata.py

train_tensor_slices = tf.data.Dataset.from_tensor_slices((x_train,y_train))

type(train_tensor_slices)
# tensorflow.python.data.ops.dataset_ops.TensorSliceDataset

image, label = next(iter(train_tensor_slices))
labels[label.numpy()[0]]
# ‘frog’

train_tensor_slices_list = list(iter(train_tensor_slices))

# checking if the element fetched with next on the iterator and the first element of the list are the same or not
tf.reduce_all(tf.math.equal(next(iter(train_tensor_slices))[0], train_tensor_slices_list[0][0])).numpy() # image
# True
tf.reduce_all(tf.math.equal(next(iter(train_tensor_slices))[1], train_tensor_slices_list[0][1])).numpy() # label
# True