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