Python – tensorflow.math.pow()

TensorFlow是谷歌设计的开源python库，用于开发机器学习模型和深度学习神经网络。Pow()用于寻找元素明智的x^y。

语法: tf.math.pow(x, y, name)

参数 :

x:它是输入的张量。这个张量允许的dtype是float16, float32, float64, int32, int64, complex64, 或 complex128。
y:它是与x相同d类型的输入张量。
name（可选）：它定义了操作的名称。

返回值:
它返回一个与x具有相同dtype的张量。

示例 1:

# Importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype = tf.float64)
b = tf.constant([.1, .3, 1, 5], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating result
res = tf.math.pow(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出:

a:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4, ), dtype=float64)
b:  tf.Tensor([0.1 0.3 1.  5. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([0.85133992 0.8122524  0.7        1.        ], shape=(4, ), dtype=float64)

例子2：这个例子在y中使用负值，会引起错误。

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([2, 5, 7, 1], dtype = tf.int64)
b = tf.constant([-1, -6, 8, 0], dtype = tf.int64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating result
res = tf.math.pow(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出:

a:  tf.Tensor([2 5 7 1], shape=(4, ), dtype=int64)
b:  tf.Tensor([-1 -6  8  0], shape=(4, ), dtype=int64)

---------------------------------------------------------------------------

InvalidArgumentError                      Traceback (most recent call last)

 in ()
     11 
     12 # Calculating result
---> 13 res = tf.math.pow(x = a, y = b)
     14 
     15 # Printing the result

4 frames

/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)


InvalidArgumentError: Integers to negative integer powers are not allowed [Op:Pow]