48 #ifndef __SPATIAL_MAXIMUM_POOLING2D_LAYER_BACKWARD_TYPES_H__ 49 #define __SPATIAL_MAXIMUM_POOLING2D_LAYER_BACKWARD_TYPES_H__ 51 #include "algorithms/algorithm.h" 52 #include "data_management/data/tensor.h" 53 #include "data_management/data/numeric_table.h" 54 #include "services/daal_defines.h" 55 #include "algorithms/neural_networks/layers/layer_backward_types.h" 56 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_pooling2d_layer_backward_types.h" 57 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_maximum_pooling2d_layer_types.h" 63 namespace neural_networks
67 namespace spatial_maximum_pooling2d
91 class DAAL_EXPORT Input :
public spatial_pooling2d::backward::Input
94 typedef spatial_pooling2d::backward::Input super;
102 Input(
const Input& other);
106 using layers::backward::Input::get;
107 using layers::backward::Input::set;
114 data_management::TensorPtr
get(LayerDataId id)
const;
121 data_management::NumericTablePtr
get(LayerDataNumericTableId id)
const;
128 void set(LayerDataId id,
const data_management::TensorPtr &ptr);
135 void set(LayerDataNumericTableId id,
const data_management::NumericTablePtr &ptr);
144 services::Status check(
const daal::algorithms::Parameter *parameter,
int method)
const DAAL_C11_OVERRIDE;
147 virtual data_management::NumericTablePtr getAuxInputDimensions()
const DAAL_C11_OVERRIDE;
155 class DAAL_EXPORT Result :
public spatial_pooling2d::backward::Result
158 DECLARE_SERIALIZABLE_CAST(Result);
165 using layers::backward::Result::get;
166 using layers::backward::Result::set;
176 template <
typename algorithmFPType>
177 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
187 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
int method)
const DAAL_C11_OVERRIDE;
191 template<
typename Archive,
bool onDeserialize>
192 services::Status serialImpl(Archive *arch)
194 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
197 typedef services::SharedPtr<Result> ResultPtr;
200 using interface1::Input;
201 using interface1::Result;
202 using interface1::ResultPtr;
daal::services::interface1::Status
Class that holds the results of API calls. In case of API routine failure it contains the list of err...
Definition: error_handling.h:491
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::backward::interface1::Result::get
data_management::TensorPtr get(ResultId id) const
daal::algorithms::interface1::Parameter
Base class to represent computation parameters. Algorithm-specific parameters are represented as deri...
Definition: algorithm_types.h:86
daal::services::interface1::SharedPtr
Shared pointer that retains shared ownership of an object through a pointer. Several SharedPtr object...
Definition: daal_shared_ptr.h:187
daal::algorithms::neural_networks::layers::spatial_maximum_pooling2d::LayerDataId
LayerDataId
Identifiers of input tensors for the backward spatial pyramid maximum 2D pooling layer and results fo...
Definition: spatial_maximum_pooling2d_layer_types.h:86
daal::algorithms::neural_networks::layers::spatial_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward 2D spatial l...
Definition: spatial_pooling2d_layer_backward_types.h:131
daal::algorithms::neural_networks::layers::spatial_maximum_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward spatial pyra...
Definition: spatial_maximum_pooling2d_layer_backward_types.h:155
daal::algorithms::neural_networks::layers::spatial_maximum_pooling2d::LayerDataNumericTableId
LayerDataNumericTableId
Identifiers of input numeric tables for the backward spatial pyramid maximum 2D pooling layer and res...
Definition: spatial_maximum_pooling2d_layer_types.h:96
daal::algorithms::neural_networks::layers::backward::interface1::Result::set
void set(ResultId id, const data_management::TensorPtr &ptr)