22 #ifndef __CONVOLUTION2D_LAYER_BACKWARD_TYPES_H__
23 #define __CONVOLUTION2D_LAYER_BACKWARD_TYPES_H__
25 #include "algorithms/algorithm.h"
26 #include "data_management/data/tensor.h"
27 #include "data_management/data/homogen_tensor.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/neural_networks/layers/layer_backward_types.h"
30 #include "algorithms/neural_networks/layers/convolution2d/convolution2d_layer_types.h"
36 namespace neural_networks
40 namespace convolution2d
63 class DAAL_EXPORT Input :
public layers::backward::Input
76 using layers::backward::Input::get;
81 using layers::backward::Input::set;
88 data_management::TensorPtr
get(LayerDataId id)
const;
95 void set(LayerDataId
id,
const data_management::TensorPtr &value);
104 services::Status check(
const daal::algorithms::Parameter *parameter,
int method)
const DAAL_C11_OVERRIDE;
111 class DAAL_EXPORT Result :
public layers::backward::Result
114 DECLARE_SERIALIZABLE_CAST(Result);
125 using layers::backward::Result::get;
130 using layers::backward::Result::set;
140 template <
typename algorithmFPType>
141 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
151 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
155 template<
typename Archive,
bool onDeserialize>
156 services::Status serialImpl(Archive *arch)
158 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
161 typedef services::SharedPtr<Result> ResultPtr;
164 using interface1::Input;
165 using interface1::Result;
166 using interface1::ResultPtr;
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::convolution2d::LayerDataId
LayerDataId
Definition: convolution2d_layer_types.h:60
daal::algorithms::math::abs::value
Definition: abs_types.h:86
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Result
Results obtained with the compute() method of the backward 2D convolution layer.
Definition: convolution2d_layer_backward_types.h:111