Intel® oneAPI Deep Neural Network Developer Guide and Reference
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PReLUBackward
General
PReLUBackward operation computes gradient for PReLU.
Operation attributes
| Attribute Name | Description | Value Type | Supported Values | Required or Optional | 
|---|---|---|---|---|
| Denotes the data format of the input and output data. | string | NCX , NXC (default) | Optional | 
Broadcasting Rules
Only slope tensor supports broadcasting semantics. Slope tensor is uni-directionally broadcasted to  if one of the following rules is met:
 if one of the following rules is met:
- PyTorch case: slope is 1D tensor and broadcast per channel, length of slope is equal to the length of  in channel dimension. in channel dimension.
- PyTorch case: slope is 1D tensor and broadcast per tensor, length of slope is equal to 1. 
- Tensorflow case: slope is nD tensor and its dimensions must be equal to the  dimensions starting from the second element: dimensions starting from the second element: 
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 | 
| 1 | slope | Required | 
| 2 | diff_dst | Required | 
Outputs
| Index | Argument Name | Required or Optional | 
|---|---|---|
| 0 | diff_src | Required | 
| 1 | diff_slope | Required | 
Supported data types
PReLUBackward operation supports the following data type combinations.
| Src | Slope | Diff_dst | Diff_src | Diff_slope | 
|---|---|---|---|---|
| f32 | f32 | f32 | f32 | f32 | 
| bf16 | bf16 | bf16 | bf16 | bf16 | 
| f16 | f16 | f16 | f16 | f16 |