SoftMax#
General#
SoftMax operation applies the following formula on every element of \(\src\) tensor (the variable names follow the standard Naming Conventions):
\[dst_i = \frac{exp(src_i)}{\sum_{j=1}^{C} exp(src_j)}\]
where \(C\) is a size of tensor along axis dimension.
Operation attributes#
Attribute Name |
Description |
Value Type |
Supported Values |
Required or Optional |
|---|---|---|---|---|
Represents the axis from which the SoftMax is calculated. |
s64 |
Arbitrary s64 value ( |
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 |
|
Required |
Outputs#
Index |
Argument Name |
Required or Optional |
|---|---|---|
0 |
|
Required |
Supported data types#
SoftMax operation supports the following data type combinations.
Src |
Dst |
|---|---|
f32 |
f32 |
bf16 |
bf16 |
f16 |
f16 |