7a33d6ec84ec249902730ff857cb6922e2912090
[platform/upstream/opencv.git] / modules / dnn / src / layers / const_layer.cpp
1 // This file is part of OpenCV project.
2 // It is subject to the license terms in the LICENSE file found in the top-level directory
3 // of this distribution and at http://opencv.org/license.html.
4
5 // Copyright (C) 2018, Intel Corporation, all rights reserved.
6 // Third party copyrights are property of their respective owners.
7
8 #include "../precomp.hpp"
9 #include "../op_inf_engine.hpp"
10 #include "layers_common.hpp"
11
12 #ifdef HAVE_OPENCL
13 #include "opencl_kernels_dnn.hpp"
14 #endif
15
16 namespace cv { namespace dnn {
17
18 class ConstLayerImpl CV_FINAL : public ConstLayer
19 {
20 public:
21     ConstLayerImpl(const LayerParams& params)
22     {
23         setParamsFrom(params);
24         CV_Assert(blobs.size() == 1);
25     }
26
27     virtual bool supportBackend(int backendId) CV_OVERRIDE
28     {
29         return backendId == DNN_BACKEND_OPENCV || backendId == DNN_BACKEND_INFERENCE_ENGINE;
30     }
31
32     virtual bool getMemoryShapes(const std::vector<MatShape> &inputs,
33                                  const int requiredOutputs,
34                                  std::vector<MatShape> &outputs,
35                                  std::vector<MatShape> &internals) const CV_OVERRIDE
36     {
37         CV_Assert(inputs.empty());
38         outputs.assign(1, shape(blobs[0]));
39         return false;
40     }
41
42 #ifdef HAVE_OPENCL
43     bool forward_ocl(InputArrayOfArrays inps, OutputArrayOfArrays outs, OutputArrayOfArrays internals)
44     {
45         std::vector<UMat> outputs;
46         outs.getUMatVector(outputs);
47         if (outs.depth() == CV_16S)
48             convertFp16(blobs[0], outputs[0]);
49         else
50             blobs[0].copyTo(outputs[0]);
51         return true;
52     }
53 #endif
54
55     void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr) CV_OVERRIDE
56     {
57         CV_TRACE_FUNCTION();
58         CV_TRACE_ARG_VALUE(name, "name", name.c_str());
59
60         CV_OCL_RUN(IS_DNN_OPENCL_TARGET(preferableTarget),
61                    forward_ocl(inputs_arr, outputs_arr, internals_arr))
62
63         std::vector<Mat> outputs;
64         outputs_arr.getMatVector(outputs);
65         blobs[0].copyTo(outputs[0]);
66     }
67
68 #ifdef HAVE_INF_ENGINE
69     virtual Ptr<BackendNode> initInfEngine(const std::vector<Ptr<BackendWrapper> >&) CV_OVERRIDE
70     {
71         InferenceEngine::Builder::ConstLayer ieLayer(name);
72         ieLayer.setData(wrapToInfEngineBlob(blobs[0]));
73         return Ptr<BackendNode>(new InfEngineBackendNode(ieLayer));
74     }
75 #endif  // HAVE_INF_ENGINE
76 };
77
78 Ptr<Layer> ConstLayer::create(const LayerParams& params)
79 {
80     return Ptr<Layer>(new ConstLayerImpl(params));
81 }
82
83 }}  // namespace cv::dnn