a = tf.constant([1,5],dtype=tf.int64)

b = np.arange(0,5)
c = tf.convert_to_tensor(b)

d = tf.ones([3,4])

e = tf.random.normal([3,3])

f = tf.random.truncated_normal([4,2],mean=0.5,stddev=1) #更符合
g = tf.random.uniform([2, 2], minval=0, maxval=1)
#tf.Tensor([[0.28219545 0.15581512] [0.77972126 0.47817433]], shape=(2, 2), dtype=float32)