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(optional): It defines the name for the operation.
Returns: It returns a Tensor.
Example 1: From Python list
# 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
# 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)
