# TensorFlow – How to create a tensor of all ones that has the same shape as the input tensor

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

Method Used:

• ones_like: This method accepts a Tensor as input and returns a Tensor with same shape having all values set to one.

Example 1:

## Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the Input ` `input` `=` `tf.constant([[``1``, ``2``, ``3``], [``4``, ``5``, ``6``]]) ` ` `  `# Generating Tensor with having all values as 1 ` `res ``=` `tf.ones_like(``input``) ` ` `  `# Printing the resulting Tensors ` `print``(``"Res: "``, res ) `

Output:

```Res:  tf.Tensor(
[[1 1 1]
[1 1 1]], shape=(2, 3), dtype=int32)

```

Example 2: This example explicitly specifies the type of the resulting tensor.

## Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the Input ` `input` `=` `tf.constant([[``1``, ``2``, ``3``], [``4``, ``5``, ``6``]]) ` ` `  `# Printing the Input ` `print``(``"Input: "``, ``input``) ` ` `  `# Generating Tensor with having all values as 1 ` `res ``=` `tf.ones_like(``input``, dtype ``=` `tf.float64) ` ` `  `# Printing the resulting Tensors ` `print``(``"Res: "``, res ) `

Output:

```Input:  tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
Res:  tf.Tensor(
[[1. 1. 1.]
[1. 1. 1.]], shape=(2, 3), dtype=float64)

```

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