Provides methods for the backward average 1D pooling layer in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::neural_networks::layers::average_pooling1d::backward::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the backward average 1D pooling layer, double or float |
method | Backward average 1D pooling layer method, average_pooling1d::Method |
- Enumerations
- Method Computation methods for the backward average 1D pooling layer
- backward::InputId Identifiers of input objects for the backward average 1D pooling layer
- LayerDataId Identifiers of collection in input objects for the backward average 1D pooling layer
- backward::InputLayerDataId Identifiers of extra results computed by the forward average 1D pooling layer
- backward::ResultId Identifiers of result objects for the backward average 1D pooling layer
- References
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◆ Batch() [1/3]
Batch |
( |
size_t |
nDimensions | ) |
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inline |
Constructs backward average 1D pooling layer with the provided parameters
- Parameters
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[in] | nDimensions | Number of dimensions in input data tensor |
◆ Batch() [2/3]
Constructs a backward average 1D pooling layer in the batch processing mode and initializes its parameter with the provided parameter
- Parameters
-
[in] | parameter | Parameter to initialize the parameter of the layer |
◆ Batch() [3/3]
Batch |
( |
const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs a backward average 1D pooling layer by copying input objects and parameters of another backward average 1D pooling layer in the batch processing mode
- Parameters
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[in] | other | Algorithm to use as the source to initialize the input objects and parameters of the layer |
◆ allocateResult()
Allocates memory to store the result of the backward average 1D pooling layer
- Returns
- Status of computations
Implements LayerIface.
◆ clone()
Returns a pointer to a newly allocated backward average 1D pooling layer with a copy of the input objects and parameters for this backward average 1D pooling layer in the batch processing mode
- Returns
- Pointer to the newly allocated layer
◆ getLayerInput()
Returns the structure that contains the input objects of backward average 1D pooling layer
- Returns
- Structure that contains the input objects of backward average 1D pooling layer
Implements LayerIface.
◆ getLayerParameter()
Returns the structure that contains the parameters of the backward average 1D pooling layer
- Returns
- Structure that contains the parameters of the backward average 1D pooling layer
Implements LayerIface.
◆ getLayerResult()
layers::backward::ResultPtr getLayerResult |
( |
| ) |
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inlinevirtual |
Returns the structure that contains result of the backward average 1D pooling layer
- Returns
- Structure that contains result of the backward average 1D pooling layer
Implements LayerIface.
◆ getMethod()
virtual int getMethod |
( |
| ) |
const |
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inlinevirtual |
Returns the method of the layer
- Returns
- Method of the layer
Implements AlgorithmIface.
◆ getResult()
Returns the structure that contains the result of the backward average 1D pooling layer
- Returns
- Structure that contains the result of the backward average 1D pooling layer
◆ setResult()
Registers user-allocated memory to store the result of the backward average 1D pooling layer
- Parameters
-
[in] | result | Structure to store the result of the backward average 1D pooling layer |
- Returns
- Status of computations
◆ input
Backward average 1D pooling layer input
◆ parameter
The documentation for this class was generated from the following file: