C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

transposed_conv2d_layer_forward_types.h
1 /* file: transposed_conv2d_layer_forward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2020 Intel Corporation
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *******************************************************************************/
17 
18 /*
19 //++
20 // Implementation of forward two-dimensional (2D) transposed convolution layer.
21 //--
22 */
23 
24 #ifndef __TRANSPOSED_CONV2D_LAYER_FORWARD_TYPES_H__
25 #define __TRANSPOSED_CONV2D_LAYER_FORWARD_TYPES_H__
26 
27 #include "algorithms/algorithm.h"
28 #include "data_management/data/tensor.h"
29 #include "data_management/data/homogen_tensor.h"
30 #include "services/daal_defines.h"
31 #include "algorithms/neural_networks/layers/layer_forward_types.h"
32 #include "algorithms/neural_networks/layers/transposed_conv2d/transposed_conv2d_layer_types.h"
33 
34 namespace daal
35 {
36 namespace algorithms
37 {
38 namespace neural_networks
39 {
40 namespace layers
41 {
42 namespace transposed_conv2d
43 {
53 namespace forward
54 {
58 namespace interface1
59 {
60 
66 class DAAL_EXPORT Input : public layers::forward::Input
67 {
68 public:
69  typedef layers::forward::Input super;
74  Input();
75 
80  Input(const Input& other);
81 
82  /*
83  * \DAAL_DEPRECATED
84  */
85  virtual ~Input() {}
86 
90  using layers::forward::Input::set;
94  using layers::forward::Input::get;
95 
103  template <typename algorithmFPType>
104  DAAL_EXPORT services::Status allocate(const daal::algorithms::Parameter *parameter, const int method);
105 
110  virtual const services::Collection<size_t> getWeightsSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
111 
116  virtual const services::Collection<size_t> getBiasesSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
117 
125  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
126 };
127 
134 class DAAL_EXPORT Result : public layers::forward::Result
135 {
136 public:
137  DECLARE_SERIALIZABLE_CAST(Result);
142  Result();
143 
144  /*
145  * \DAAL_DEPRECATED
146  */
147  virtual ~Result() {}
148 
152  using layers::forward::Result::get;
153 
157  using layers::forward::Result::set;
158 
163  virtual const services::Collection<size_t> getValueSize(const services::Collection<size_t> &inputSize,
164  const daal::algorithms::Parameter *parameter, const int method) const DAAL_C11_OVERRIDE;
173  template <typename algorithmFPType>
174  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
175 
182  virtual services::Status setResultForBackward(const daal::algorithms::Input *input) DAAL_C11_OVERRIDE;
183 
189  data_management::TensorPtr get(LayerDataId id) const;
190 
196  void set(LayerDataId id, const data_management::TensorPtr &value);
197 
206  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
207 
208 protected:
209  services::Status checkValueDimensions(const services::Collection<size_t> &inputSize, const services::Collection<size_t> &valDims, const daal::algorithms::Parameter *par, int method) const;
211  template<typename Archive, bool onDeserialize>
212  services::Status serialImpl(Archive *arch)
213  {
214  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
215  }
216 };
217 typedef services::SharedPtr<Result> ResultPtr;
218 
219 } // namespace interface1
220 using interface1::Input;
221 using interface1::Result;
222 using interface1::ResultPtr;
223 
224 } // namespace forward
226 } // namespace transposed_conv2d
227 } // namespace layers
228 } // namespace neural_networks
229 } // namespace algorithms
230 } // namespace daal
231 
232 #endif
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Input
Input objects for the forward 2D transposed convolution layer
Definition: transposed_conv2d_layer_forward_types.h:66
daal::algorithms::neural_networks::layers::transposed_conv2d::LayerDataId
LayerDataId
Definition: transposed_conv2d_layer_types.h:62
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Result
Results obtained with the compute() method of the forward 2D transposed convolution layer in the batc...
Definition: transposed_conv2d_layer_forward_types.h:134
daal_defines.h
daal::algorithms::math::abs::value
Definition: abs_types.h:88

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