Python – tensorflow.math.is_finite()
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。
is_finite()用于检查 x 的元素有限性。
Syntax: tensorflow.math.is_finite( x, name)
Parameters:
- x: It is a tensor. Allowed dtypes are bfloat16, half, float32, float64.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of dtype bool.
示例 1:此示例使用 numpy inf 并检查它的有限性。
Python3
# importing the library
import tensorflow as tf
import numpy as np
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11, np.inf], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
# Calculating the result
res = tf.math.is_finite(a)
# Printing the result
print('Result: ', res)
Python3
# Importing the library
import tensorflow as tf
import numpy as np
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11, np.nan], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
# Calculating the result
res = tf.math.is_finite(a)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 7. 8. 13. 11. inf], shape=(5, ), dtype=float64)
Result: tf.Tensor([ True True True True False], shape=(5, ), dtype=bool)
示例 2:此示例使用 numpy nan 并检查它的有限性。
Python3
# Importing the library
import tensorflow as tf
import numpy as np
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11, np.nan], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
# Calculating the result
res = tf.math.is_finite(a)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 7. 8. 13. 11. nan], shape=(5, ), dtype=float64)
Result: tf.Tensor([ True True True True False], shape=(5, ), dtype=bool)