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(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)

```

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.