Provides methods to access the result obtained with the compute() method of the forward concat layer.
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| def allocate_{Float64|Float32} |
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Allocates memory to store the result of the forward concat layer
- Parameters
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| input | Pointer to an object containing the input data |
| parameter | Parameter of the algorithm |
| method | Computation method for the algorithm |
- Returns
- Status of computations
- Full Names
allocate_Float64 is for float64
allocate_Float32 is for float32
| def check |
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Checks the result object for the layer algorithm
- Parameters
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| input | Input of the algorithm |
| parameter | Parameter of algorithm |
| method | Computation method of the algorithm |
- Returns
- Status of computations
| def getLayerData |
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Returns input object of the forward concat layer
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
| def getSerializationTag |
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getSerializationTag(Result self) -> int
| def getValueSize |
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- Variant 1
Returns collection of dimensions of concat layer output
- Parameters
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| inputSize | Collection of input tensors dimensions |
| par | Parameters of the algorithm |
| method | Method of the algorithm |
- Returns
- Collection of dimensions of concat layer output
- Variant 2
Returns collection of dimensions of concat layer output
- Parameters
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| inputSize | Collection of input tensors dimensions |
| parameter | Parameters of the algorithm |
| method | Method of the algorithm |
- Returns
- Collection of dimensions of concat layer output
| def setLayerData |
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value |
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Sets the result of the forward concat layer
- Parameters
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| id | Identifier of the result |
| value | Pointer to the result |
The documentation for this class was generated from the following file: