Python – tensorflow.math.minimum()

TensorFlow 是由谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。 minimum()用于查找 x 和 y 的元素最大值。具体来说，它返回 x < y ? x：是的。

Syntax: tf.math.minimum(x, y, name)

Parameter:

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64.
• y: It’s the input tensor of same dtype as x.
• name(optional): It’s defines the name for the operation.

Returns:
It returns a tensor of same dtype as x.

示例 1：

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype = tf.float64)
b = tf.constant([.1, .3, 1, 5], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating result
res = tf.math.minimum(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4, ), dtype=float64)
b:  tf.Tensor([0.1 0.3 1.  5. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([0.1 0.3 0.7 1. ], shape=(4, ), dtype=float64)

示例 2：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([-2, -5, 7, 1], dtype = tf.int64)
b = tf.constant([-1, -6, 8, 0], dtype = tf.int64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating result
res = tf.math.minimum(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([-2 -5  7  1], shape=(4, ), dtype=int64)
b:  tf.Tensor([-1 -6  8  0], shape=(4, ), dtype=int64)
Result:  tf.Tensor([-2 -6  7  0], shape=(4, ), dtype=int64)