# Python – tensorflow.math.less()

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

less() is used to find element wise truth value of x<y. It supports broadcasting

Syntax: tensorflow.math.less( x, y, name)

Parameters:

• x: It is a tensor. Allowed dtypes are float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
• y: It is a tensor of same dtype as x.
• name(optional): It defines the name of the operation

Returns: It returns a tensor of type bool.

Example 1:

## Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([``7``, ``8``, ``13``, ``11``], dtype ``=` `tf.float64) ` `b ``=` `tf.constant([``2``, ``13``, ``14``, ``5``],  dtype ``=` `tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Finding truth value ` `res ``=` `tf.math.less(x ``=` `a, y ``=` `b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([ 2. 13. 14.  5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([False  True  True False], shape=(4, ), dtype=bool)

```

Example 2: In this example broadcasting will be performed on input.

## Python3

 `# Importing the libraray ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([``7``, ``8``, ``13``, ``11``], dtype ``=` `tf.float64) ` `b ``=` `(``9``) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Finding truth value ` `res ``=` `tf.math.less(x ``=` `a, y ``=` `b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  9
Result:  tf.Tensor([ True  True False False], shape=(4, ), dtype=bool)```

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