tensorflow2.0基础(二)

#布尔类型 
import tensorflow as tf 
a = tf.constant(True) 
a 

<tf.Tensor: id=11, shape=(), dtype=bool, numpy=True>

import tensorflow as tf 
a = tf.constant([True, False]) 
a 

<tf.Tensor: id=12, shape=(2,), dtype=bool, numpy=array([ True, False])>

import tensorflow as tf 
a = tf.constant(True) 
a == True #仅数值比较 

<tf.Tensor: id=15, shape=(), dtype=bool, numpy=True>

import tensorflow as tf 
a = tf.constant(True) 
a is True #TF布尔类型张量与python布尔类型比较 

False

#数值精度 
import tensorflow as tf 
tf.constant(123456789, dtype = tf.int16) 

<tf.Tensor: id=17, shape=(), dtype=int16, numpy=-13035>

import tensorflow as tf 
a = tf.constant(123456789, dtype = tf.int32) 
b = tf.constant(123456789, dtype = tf.int16) 
a,b 

(<tf.Tensor: id=25, shape=(), dtype=int32, numpy=123456789>,
 <tf.Tensor: id=26, shape=(), dtype=int16, numpy=-13035>)

import tensorflow as tf 
import numpy as np 
a = tf.constant(np.pi, dtype = tf.float32) 
b = tf.constant(np.pi, dtype = tf.float64) 
print(a) 
print(b) 

tf.Tensor(3.1415927, shape=(), dtype=float32)
tf.Tensor(3.141592653589793, shape=(), dtype=float64)