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”。
Syntax: tensorflow.math.reduce_any( input_tensor, axis, keepdims, name)
Parameters:
- input_tensor: It is boolean tensor to reduce.
- axis(optional): It represent the dimensions to reduce. It’s value should be in range [-rank(input_tensor), rank(input_tensor)). If no value is given for this all dimensions are reduced.
- keepdims(optional): It’s default value is False. If it’s set to True it will retain the reduced dimension with length 1.
- name(optional): It defines the name for the operation.
Returns: It returns a tensor.
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)