Python – tensorflow.constant()
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
Python3
import tensorflow as tf
l = [ 1 , 2 , 3 , 4 ]
print ( 'l: ' , l)
x = tf.constant(l)
print ( 'x: ' , x)
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Output:
l: [1, 2, 3, 4]
x: tf.Tensor([1 2 3 4], shape=(4, ), dtype=int32)
Example 2: From Python tuple
Python3
import tensorflow as tf
l = ( 1 , 2 , 3 , 4 )
print ( 'l: ' , l)
x = tf.constant(l, dtype = tf.float64)
print ( 'x: ' , x)
|
Output:
l: (1, 2, 3, 4)
x: tf.Tensor([1. 2. 3. 4.], shape=(4, ), dtype=float64)
Last Updated :
14 Mar, 2023
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