ep1-tf100.py

rank_0_tensor = tf.constant(4)
print(rank_0_tensor)
tf.Tensor(4, shape=(), dtype=int32)

rank_1_tensor = tf.constant([2.0, 3.0, 4.0])
print(rank_1_tensor)

rank_2_tensor = tf.constant([[1, 2],
                             [3, 4],
                             [5, 6]], dtype=tf.float16)
print(rank_2_tensor)
tf.Tensor(
[[1. 2.]
 [3. 4.]
 [5. 6.]], shape=(3, 2), dtype=float16)

rank_4_tensor = tf.zeros([3, 2, 4, 5])
<tf.Tensor: shape=(3, 2, 4, 5), dtype=float32, 
numpy= array( ... ), dtype=float32)>