Provides methods to access the result obtained with the compute() method of the forward batch normalization layer.
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◆ Result()
◆ allocate()
Allocates memory to store the result of the forward batch normalization layer
- Parameters
-
[in] | input | Pointer to an object containing the input data |
[in] | parameter | Parameter of the forward batch normalization layer |
[in] | method | Computation method for the layer |
- Returns
- Status of computations
◆ check()
Checks the result of the forward batch normalization layer
- Parameters
-
[in] | input | Input of the layer |
[in] | parameter | Parameter of the layer |
[in] | method | Computation method of the layer |
- Returns
- Status of computations
Reimplemented from Result.
◆ get()
Returns the result of the forward batch normalization layer
- Parameters
-
[in] | id | Identifier of the result |
- Returns
- Result that corresponds to the given identifier
◆ getValueSize()
Returns dimensions of value tensor
- Returns
- Dimensions of value tensor
Implements Result.
◆ set()
void set |
( |
LayerDataId |
id, |
|
|
const data_management::TensorPtr & |
ptr |
|
) |
| |
Sets the result of the forward batch normalization layer
- Parameters
-
[in] | id | Identifier of the result |
[in] | ptr | Result |
◆ setResultForBackward()
Sets the result that is used in backward batch normalization layer
- Parameters
-
[in] | input | Pointer to an object containing the input data |
- Returns
- Status of computations
Reimplemented from Result.
The documentation for this class was generated from the following file: