Softmax {#dev_guide_op_softmax}
===============================

## General

Softmax operation applies following formula on every element of \src tensor 
(the variable names follow the standard @ref dev_guide_conventions):

\f[ dst_i = \frac{exp(src_i)}{\sum_{j=1}^{C} exp(src_j)} \f]
where \f$ C \f$ is a size of tensor along axis dimension.

## Operation attributes

Attribute Name | Description | Value Type | Supported Values | Required or Optional
-- | -- | -- | -- | --
[axis](@ref dnnl::graph::op::attr::axis) | Represents the axis of which the Softmax is calculated. | s64 | Arbitrary s64 value (`1` in default) | Optional

## Execution arguments

The inputs and outputs must be provided according to below index order when
constructing an operation.

### Inputs

Index | Argument Name | Required or Optional
-- | -- | --
0 | `src` | Required

### Outputs

Index | Argument Name | Required or Optional
-- | -- | --
0 | `dst` |Required

## Supported data types

Softmax operation supports the following data type combinations.

Src | Dst
-- | --
f32 | f32
bf16 | bf16
f16 | f16
