tensorflow2.0创建Tensor基础操作

tensorflow创建Tensor基础操作，代码如下：

import tensorflow as tf

# 版本
print(tf.__version__)
# 2.2.0

# 基础类型
a = tf.constant(1.23, dtype=tf.float64)
print(type(a))
# <class 'tensorflow.python.framework.ops.EagerTensor'>
print(a)
# tf.Tensor(1.23, shape=(), dtype=float64)
print(tf.constant('hello world'))
# tf.Tensor(b'hello world', shape=(), dtype=string)
print(tf.constant(True))
# tf.Tensor(True, shape=(), dtype=bool)

# 一维数据
b = tf.constant([1, 2, 3])
print(b.numpy())
# [1 2 3]
print(b.dtype)
# <dtype: 'int32'>
# 类型转换
b = tf.cast(b, tf.float64)
print(b)
# tf.Tensor([1. 2. 3.], shape=(3,), dtype=float64)

# 二维数据
c = tf.constant([[1, 2, 3], [4, 5, 6]])
print(c)
# tf.Tensor([[1 2 3] [4 5 6]], shape=(2, 3), dtype=int32)

# 变量
d = tf.Variable([1, 2, 3], dtype=tf.float16)
print(d)
# <tf.Variable 'Variable:0' shape=(3,) dtype=float16, numpy=array([1., 2., 3.], dtype=float16)>

e = tf.convert_to_tensor([[1, 2, 3], [4, 5, 6]])
print(e)
# tf.Tensor([[1 2 3][4 5 6]], shape=(2, 3), dtype=int32)

print(tf.zeros([2, 2]))
# tf.Tensor(
# [[0. 0.]
#  [0. 0.]], shape=(2, 2), dtype=float32)
print(tf.ones([2, 3]))
# tf.Tensor(
# [[1. 1. 1.]
#  [1. 1. 1.]], shape=(2, 3), dtype=float32)
print(tf.fill([2, 3], 5))
# tf.Tensor(
# [[5 5 5]
#  [5 5 5]], shape=(2, 3), dtype=int32)

print(tf.range(10))
# tf.Tensor([0 1 2 3 4 5 6 7 8 9], shape=(10,), dtype=int32)

print(tf.random.normal((2, 3), mean=0, stddev=1))
# tf.Tensor(
# [[-1.1571267  -0.13292214  1.2395346 ]
#  [-0.6756243  -1.0658612  -1.3149271 ]], shape=(2, 3), dtype=float32)