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Python – tensorflow.math.minimum()

• Last Updated : 10 Jun, 2020

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. minimum() is used to find element wise maximum of x and y. Specifically, it returns x < y ? x : y.

Syntax: tf.math.minimum(x, y, name)

Parameter:

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64.
• y: It’s the input tensor of same dtype as x.
• name(optional): It’s defines the name for the operation.

Returns:
It returns a tensor of same dtype as x.

Example 1:

Python3

 `# Importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([.``2``, .``5``, .``7``, ``1``], dtype ``=` `tf.float64) ` `b ``=` `tf.constant([.``1``, .``3``, ``1``, ``5``], dtype ``=` `tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Calculating result ` `res ``=` `tf.math.minimum(x ``=` `a, y ``=` `b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4, ), dtype=float64)
b:  tf.Tensor([0.1 0.3 1.  5. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([0.1 0.3 0.7 1. ], shape=(4, ), dtype=float64)

```

Example 2:

Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([``-``2``, ``-``5``, ``7``, ``1``], dtype ``=` `tf.int64) ` `b ``=` `tf.constant([``-``1``, ``-``6``, ``8``, ``0``], dtype ``=` `tf.int64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Calculating result ` `res ``=` `tf.math.minimum(x ``=` `a, y ``=` `b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([-2 -5  7  1], shape=(4, ), dtype=int64)
b:  tf.Tensor([-1 -6  8  0], shape=(4, ), dtype=int64)
Result:  tf.Tensor([-2 -6  7  0], shape=(4, ), dtype=int64)
```

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