# Minimum

Minimum  // Short description.


## Description¶

Produces tensor of the same element type and shape as the two inputs, where the value at each coordinate of output is the minimum of the values at the corresponding input coordinates.

### Inputs¶

Name

Element Type

Shape

arg0

any

any

arg1

same as arg0

same as arg0

### Outputs¶

Name

Element Type

Shape

output

same as arg0

same as arg0

## Mathematical Definition¶

$\mathtt{output}_{i_0, \ldots, i_{n-1}} = \min(\mathtt{arg0}_{i_0, \ldots, i_{n-1}}, \mathtt{arg1}_{i_0, \ldots, i_{n-1}})$

## Backprop¶

$\begin{split}\overline{\mathtt{arg0}} &\leftarrow \mathtt{Less}(\mathtt{arg0}, \mathtt{arg1})\ \Delta \\ \overline{\mathtt{arg1}} &\leftarrow \mathtt{Less}(\mathtt{arg1}, \mathtt{arg0})\ \Delta\end{split}$

## C++ Interface¶

class Minimum : public ngraph::op::util::BinaryElementwiseArithmetic

Elementwise minimum operation.

Public Functions

const NodeTypeInfo &get_type_info() const

Returns the NodeTypeInfo for the node’s class. During transition to type_info, returns a dummy type_info for Node if the class has not been updated yet.

Minimum()

Constructs a minimum operation.

Minimum(const Output<Node> &arg0, const Output<Node> &arg1, const AutoBroadcastSpec &auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY))

Constructs a minimum operation.

Parameters
• arg0: Node that produces the first input tensor.

• arg1: Node that produces the second input tensor.

• auto_broadcast: Auto broadcast specification

size_t get_version() const

Return

Version of this node