C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

transposed_conv2d_layer_forward.h
1 /* file: transposed_conv2d_layer_forward.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 Intel Corporation.
4 *
5 * This software and the related documents are Intel copyrighted materials, and
6 * your use of them is governed by the express license under which they were
7 * provided to you (License). Unless the License provides otherwise, you may not
8 * use, modify, copy, publish, distribute, disclose or transmit this software or
9 * the related documents without Intel's prior written permission.
10 *
11 * This software and the related documents are provided as is, with no express
12 * or implied warranties, other than those that are expressly stated in the
13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the interface for the forward two-dimensional (2D) transposed convolution layer in the batch
19 // processing mode
20 //--
21 */
22 
23 #ifndef __TRANSPOSED_CONV2D_LAYER_FORWARD_H__
24 #define __TRANSPOSED_CONV2D_LAYER_FORWARD_H__
25 
26 #include "algorithms/algorithm.h"
27 #include "data_management/data/tensor.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/neural_networks/layers/layer.h"
30 #include "algorithms/neural_networks/layers/transposed_conv2d/transposed_conv2d_layer_types.h"
31 #include "algorithms/neural_networks/layers/transposed_conv2d/transposed_conv2d_layer_forward_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
41 namespace transposed_conv2d
42 {
43 namespace forward
44 {
45 namespace interface1
46 {
62 template<typename algorithmFPType, Method method, CpuType cpu>
63 class DAAL_EXPORT BatchContainer : public layers::forward::LayerContainerIfaceImpl
64 {
65 public:
71  BatchContainer(daal::services::Environment::env *daalEnv);
73  ~BatchContainer();
79  services::Status compute() DAAL_C11_OVERRIDE;
80  services::Status setupCompute() DAAL_C11_OVERRIDE;
81 
82  virtual services::Status allocateInput() DAAL_C11_OVERRIDE
83  {
84  Input *input = static_cast<Input *>(_in);
85  return input->allocate<algorithmFPType>(_par, (int) method);
86  }
87 };
88 
106 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
107 class Batch : public layers::forward::LayerIfaceImpl
108 {
109 public:
110  typedef layers::forward::LayerIfaceImpl super;
111 
112  typedef algorithms::neural_networks::layers::transposed_conv2d::forward::Input InputType;
113  typedef algorithms::neural_networks::layers::transposed_conv2d::Parameter ParameterType;
114  typedef algorithms::neural_networks::layers::transposed_conv2d::forward::Result ResultType;
115 
116  ParameterType &parameter;
117  InputType input;
120  Batch() : parameter(_defaultParameter)
121  {
122  initialize();
123  };
124 
130  Batch(ParameterType& parameter) : parameter(parameter), _defaultParameter(parameter)
131  {
132  initialize();
133  };
134 
140  Batch(const Batch<algorithmFPType, method> &other) : super(other),
141  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
142  {
143  initialize();
144  }
145 
150  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
151 
156  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
157 
162  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
163 
168  layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
169  {
170  return getResult();
171  }
172 
177  ResultPtr getResult()
178  {
179  return _result;
180  }
181 
188  services::Status setResult(const ResultPtr& result)
189  {
190  DAAL_CHECK(result, services::ErrorNullResult)
191  _result = result;
192  _res = _result.get();
193  return services::Status();
194  }
195 
201  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
202  {
203  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
204  }
205 
206  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
207  {
208  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
209  this->_res = this->_result.get();
210  return s;
211  }
212 
213 protected:
214  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
215  {
216  return new Batch<algorithmFPType, method>(*this);
217  }
218 
219  void initialize()
220  {
221  Analysis<batch>::_ac = new __DAAL_ALGORITHM_LAYER_CONTAINER(BatchContainer, algorithmFPType, method)(&_env);
222  _in = &input;
223  _par = &parameter;
224  _result.reset(new ResultType());
225  }
226 
227 private:
228  ResultPtr _result;
229  ParameterType _defaultParameter;
230 };
231 
233 } // namespace interface1
234 using interface1::BatchContainer;
235 using interface1::Batch;
236 } // namespace forward
237 } // namespace transposed_conv2d
238 } // namespace layers
239 } // namespace neural_networks
240 } // namespace algorithms
241 } // namespace daal
242 #endif
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::BatchContainer
Provides methods to run implementations of the forward 2D transposed convolution layer. This class is associated with the daal::algorithms::neural_networks::layers::transposed_conv2d::forward::Batch class and supports the method of forward 2D transposed convolution layer computation in the batch processing mode.
Definition: transposed_conv2d_layer_forward.h:63
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::getLayerResult
layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: transposed_conv2d_layer_forward.h:168
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: transposed_conv2d_layer_forward.h:162
daal_defines.h
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: transposed_conv2d_layer_forward.h:156
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:63
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: transposed_conv2d_layer_forward.h:188
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::Batch
Batch(ParameterType &parameter)
Definition: transposed_conv2d_layer_forward.h:130
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::parameter
ParameterType & parameter
Definition: transposed_conv2d_layer_forward.h:116
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::getResult
ResultPtr getResult()
Definition: transposed_conv2d_layer_forward.h:177
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: transposed_conv2d_layer_forward.h:201
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: transposed_conv2d_layer_forward.h:150
daal::algorithms::Analysis
Provides methods for execution of operations over data, such as computation of Summary Statistics est...
Definition: analysis.h:68
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::Batch
Batch()
Definition: transposed_conv2d_layer_forward.h:120
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch
Provides methods for forward 2D transposed convolution layer computations in the batch processing mod...
Definition: transposed_conv2d_layer_forward.h:107
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: transposed_conv2d_layer_forward.h:140
daal::services::ErrorNullResult
Definition: error_indexes.h:96
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Input::allocate
DAAL_EXPORT services::Status allocate(const daal::algorithms::Parameter *parameter, const int method)
daal::algorithms::neural_networks::layers::transposed_conv2d::forward::interface1::Batch::input
InputType input
Definition: transposed_conv2d_layer_forward.h:117

For more complete information about compiler optimizations, see our Optimization Notice.