Intel® oneAPI Deep Neural Network Developer Guide and Reference
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LogSoftmax
General
LogSoftmax operation applies the  function to an n-dimensional input Tensor. The formulation can be simplified as:
 function to an n-dimensional input Tensor. The formulation can be simplified as:
 
 
   Operation attributes
| Attribute Name | Description | Value Type | Supported Values | Required or Optional | 
|---|---|---|---|---|
| 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 | Argument Name | Required or Optional | 
|---|---|---|
| 0 | src | Required | 
Outputs
| Index | Argument Name | Required or Optional | 
|---|---|---|
| 0 | dst | Required | 
Supported data types
LogSoftmax operation supports the following data type combinations.
| Src | Dst | 
|---|---|
| f32 | f32 | 
| bf16 | bf16 | 
| f16 | f16 |