Python – tensorflow.math.greater_equal()
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。
Greater_equal()用于查找 x>=y 的元素真值。支持广播
Syntax: tensorflow.math.greater_equal( x, y, name)
Parameters:
- x: It is a tensor. Allowed dtypes are float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
- y: It is a tensor of same dtype as x.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of type bool.
示例 1:
Python3
# importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 8, 14, 5], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Finding truth value
res = tf.math.greater_equal(x = a, y = b)
# Printing the result
print('Result: ', res)
Python3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = (8)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Finding truth value
res = tf.math.greater_equal(x = a, y = b)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
b: tf.Tensor([ 2. 8. 14. 5.], shape=(4, ), dtype=float64)
Result: tf.Tensor([ True True False True], shape=(4, ), dtype=bool)
示例 2:在此示例中,将对输入执行广播。
Python3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = (8)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Finding truth value
res = tf.math.greater_equal(x = a, y = b)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
b: 8
Result: tf.Tensor([False True True True], shape=(4, ), dtype=bool)