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Python – tensorflow.constant()

  • Last Updated : 26 Jun, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.

constant() is used to create a Tensor from tensor like objects like list.

Syntax: tensorflow.constant( value, dtype, shape, name )

Parameters:

  • value: It is the value that needed to be converted to Tensor.
  • dtype(optional): It defines the type of the output Tensor.
  • shape(optional): It defines the dimension of output Tensor.
  • name(optiona): It defines the name for the operation.

Returns: It returns a Tensor.

Example 1: From Python list

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
l = [1, 2, 3, 4]
  
# Printing the input
print('l: ', l)
  
# Calculating result
x = tf.constant(l)
  
  
# Printing the result
print('x: ', x)

Output:

l:  [1, 2, 3, 4]
x:  tf.Tensor([1 2 3 4], shape=(4, ), dtype=int32)

Example 2: From Python tuple

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
l = (1, 2, 3, 4)
  
# Printing the input
print('l: ', l)
  
# Calculating result
x = tf.constant(l, dtype = tf.float64)
  
  
# Printing the result
print('x: ', x)

Output:

l:  (1, 2, 3, 4)
x:  tf.Tensor([1. 2. 3. 4.], shape=(4, ), dtype=float64)



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