# LogSoftmax¶

## General¶

LogSoftmax operation applies the $$\log(softmax(src))$$ function to an n-dimensional input Tensor. The formulation can be simplified as:

$dst_i = \log\Big( \frac{exp(src_i)}{\sum_{j}^{ } exp(src_j)} \Big)$

## Operation attributes¶

Attribute Name

Descr

axis

Represents the axis of which the LogSoftmax is calculated. Negative value means counting dimensions from the back.

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

Argu

0

src

Required

### Outputs¶

Index

Argu

0

dst

Required

## Supported data types¶

LogSoftmax operation supports the following data type combinations.

Src

D

f32

f32

bf16

bf16

f16

f16