Python – tensorflow.math.negative()

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TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. negative() is used to find element wise negative value of x.

Syntax: tf.math.negative(x, name)

Parameter:

x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64, complex64, complex128.

name(optional): It defines the name for the operation.

Returns: It returns a tensor of dtype as x.

Example 1:

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([1, 2, -3, -4], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.negative(x = a)
 
# Printing the result
print('Result: ', res)

Output:

Input:  tf.Tensor([ 1.  2. -3. -4.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([-1. -2.  3.  4.], shape=(4, ), dtype=float64)

Example 2: This example uses complex tensor.

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([1 + 3j, 2-5j, -3 + 7j, -4-8j], dtype = tf.complex128)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.negative(x = a)
 
# Printing the result
print('Result: ', res)

Output:

Input:  tf.Tensor([ 1.+3.j  2.-5.j -3.+7.j -4.-8.j], shape=(4, ), dtype=complex128)
Result:  tf.Tensor([-1.-3.j -2.+5.j  3.-7.j  4.+8.j], shape=(4, ), dtype=complex128)