C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

loss_layer_forward_types.h
1 /* file: loss_layer_forward_types.h */
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41 
42 /*
43 //++
44 // Implementation of the forward loss layer types.
45 //--
46 */
47 
48 #ifndef __LOSS_LAYER_FORWARD_TYPES_H__
49 #define __LOSS_LAYER_FORWARD_TYPES_H__
50 
51 #include "algorithms/algorithm.h"
52 #include "data_management/data/tensor.h"
53 #include "data_management/data/homogen_tensor.h"
54 #include "services/daal_defines.h"
55 #include "algorithms/neural_networks/layers/layer_forward_types.h"
56 
57 namespace daal
58 {
59 namespace algorithms
60 {
61 namespace neural_networks
62 {
63 namespace layers
64 {
65 namespace loss
66 {
76 namespace forward
77 {
82 enum InputId
83 {
84  data = layers::forward::data,
85  weights = layers::forward::weights,
86  biases = layers::forward::biases, /* Biases of the neural network layer */
87  groundTruth = layers::forward::lastInputLayerDataId + 1,
88  lastInputId = groundTruth
89 };
93 namespace interface1
94 {
99 class DAAL_EXPORT Input : public layers::forward::Input
100 {
101 public:
102  typedef layers::forward::Input super;
104  Input(size_t nElements = lastInputId + 1);
105 
109  using layers::forward::Input::get;
110 
114  using layers::forward::Input::set;
115 
121  data_management::TensorPtr get(forward::InputId id) const;
122 
128  void set(InputId id, const data_management::TensorPtr &ptr);
129 
134  virtual const services::Collection<size_t> getWeightsSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
135 
140  virtual const services::Collection<size_t> getBiasesSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
141 
142  virtual ~Input() {}
143 };
144 
150 class DAAL_EXPORT Result : public layers::forward::Result
151 {
152 public:
154  Result();
155  virtual ~Result() {};
156 
160  using layers::forward::Result::get;
161 
165  using layers::forward::Result::set;
166 
175  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
176 
185  template <typename algorithmFPType>
186  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
187 
192  virtual const services::Collection<size_t> getValueSize(const services::Collection<size_t> &inputSize,
193  const daal::algorithms::Parameter *par, const int method) const DAAL_C11_OVERRIDE;
194 };
195 } // namespace interface1
196 using interface1::Input;
197 using interface1::Result;
198 } // namespace forward
200 } // namespace loss
201 } // namespace layers
202 } // namespace neural_networks
203 } // namespace algorithm
204 } // namespace daal
205 #endif
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::loss::forward::groundTruth
Definition: loss_layer_forward_types.h:87
daal::algorithms::neural_networks::layers::loss::forward::interface1::Result
Provides methods to access the result obtained with the compute() method of the forward loss layer...
Definition: loss_layer_forward_types.h:150
daal::algorithms::neural_networks::layers::loss::forward::interface1::Input
Input objects for the forward loss layer
Definition: loss_layer_forward_types.h:99
daal::algorithms::neural_networks::layers::loss::forward::data
Definition: loss_layer_forward_types.h:84
daal_defines.h
daal::algorithms::neural_networks::layers::loss::forward::weights
Definition: loss_layer_forward_types.h:85
daal::algorithms::neural_networks::layers::loss::forward::InputId
InputId
Definition: loss_layer_forward_types.h:82
daal::algorithms::neural_networks::layers::forward::data
Definition: layer_forward_types.h:89

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