Results obtained with the compute() method of the backward element-wise sum layer.
More...
| def allocate_{Float64|Float32} |
( |
|
self, |
|
|
|
input, |
|
|
|
parameter, |
|
|
|
method |
|
) |
| |
Allocates memory to store the result of backward element-wise sum layer
- Parameters
-
| input | Object containing the input data |
| parameter | Parameter of backward element-wise sum layer |
| method | Computation method |
- Returns
- Status of computations
- Full Names
allocate_Float64 is for float64
allocate_Float32 is for float32
| def check |
( |
|
self, |
|
|
|
input, |
|
|
|
par, |
|
|
|
method |
|
) |
| |
Checks the result of the element-wise sum layer
- Parameters
-
| input | Input object of the layer |
| par | Parameter of the layer |
| method | Computation method of the layer |
- Returns
- Status of computations
| def getGradient |
( |
|
self, |
|
|
|
index |
|
) |
| |
Returns resulting gradient of the backward element-wise layer
- Parameters
-
| index | Index of the tensor with gradient |
- Returns
- Resulting gradient that corresponds to the given index
Returns the layout of the result object for the layer algorithm
- Returns
- Layout of the result object for the layer algorithm
| def getResultLayerData |
( |
|
self, |
|
|
|
id, |
|
|
|
index |
|
) |
| |
Returns the result tensor of the backward element-wise layer
- Parameters
-
| id | Identifier of the result tensor |
| index | Index of the result tensor |
- Returns
- Input tensor that corresponds to the given identifier
| def getSerializationTag |
( |
|
self | ) |
|
getSerializationTag(Result self) -> int
| def setResultLayerData |
( |
|
self, |
|
|
|
id, |
|
|
|
value, |
|
|
|
index |
|
) |
| |
Sets the result tensor for the backward element-wise layer
- Parameters
-
| id | Identifier of the result tensor |
| value | Pointer to the tensor |
| index | Index of the result tensor |
The documentation for this class was generated from the following file: