# Python – tensorflow.math.greater_equal()

• Last Updated : 18 Jan, 2022

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

greater_equal() is used to find element wise truth value of x>=y. It supports broadcasting

Syntax: tensorflow.math.greater_equal( 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``, ``8``, ``14``, ``5``],  dtype ``=` `tf.float64)`   `# Printing the input tensor` `print``(``'a: '``, a)` `print``(``'b: '``, b)`   `# Finding truth value` `res ``=` `tf.math.greater_equal(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.  8. 14.  5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ True True False  True], shape=(4, ), dtype=bool)```

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

## Python3

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

Output:

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

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