Python – tensorflow.math.zero_fraction()
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。
zero_fraction()用于查找值中零的分数。
Syntax: tensorflow.math.softplus(value, name)
Parameters:
- value: It’s a tensor of numeric type.
- name(optional): It defines the name for the operation.
Returns: It returns fraction of zeros in value, with dtype float32.
示例 1:
Python3
# importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([ 5, 0, 9, 15], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
# Calculating result
res = tf.math.zero_fraction(a)
# Printing the result
print('Result: ', res)
Python3
# importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([ 5 + 3j, 0 + 0j, 9-6j, 0 + 0j], dtype = tf.complex128)
# Printing the input tensor
print('a: ', a)
# Calculating result
res = tf.math.zero_fraction(a)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 5. 0. 9. 15.], shape=(4, ), dtype=float64)
Result: tf.Tensor(0.25, shape=(), dtype=float32)
示例 2:
Python3
# importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([ 5 + 3j, 0 + 0j, 9-6j, 0 + 0j], dtype = tf.complex128)
# Printing the input tensor
print('a: ', a)
# Calculating result
res = tf.math.zero_fraction(a)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([5.+3.j 0.+0.j 9.-6.j 0.+0.j], shape=(4, ), dtype=complex128)
Result: tf.Tensor(0.5, shape=(), dtype=float32)