📜  Python – tensorflow.math.reduce_any()

📅  最后修改于: 2022-05-13 01:55:29.477000             🧑  作者: Mango

Python – tensorflow.math.reduce_any()

TensorFlow 是由 Google 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。

reduce_any()用于计算张量维度上元素的“逻辑或”。

示例 1:

Python3
# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([True, False, False, True], dtype = tf.bool)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_any(a)
 
# Printing the result
print('Result: ', res)


Python3
# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([[True, False], [False, True]], dtype = tf.bool)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_any(a, axis = 1, keepdims = True)
 
# Printing the result
print('Result: ', res)


输出:

Input:  tf.Tensor([ True False False  True], shape=(4, ), dtype=bool)
Result:  tf.Tensor(True, shape=(), dtype=bool)

示例 2:

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([[True, False], [False, True]], dtype = tf.bool)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_any(a, axis = 1, keepdims = True)
 
# Printing the result
print('Result: ', res)

输出:

Input:  tf.Tensor(
[[ True False]
 [False  True]], shape=(2, 2), dtype=bool)
Result:  tf.Tensor(
[[ True]
 [ True]], shape=(2, 1), dtype=bool)