inference-engine/tests/functional/inference_engine/ngraph_reader/binary_convolution_tests.cpp

   1 // Copyright (C) 2018-2020 Intel Corporation
   2 // SPDX-License-Identifier: Apache-2.0
   3 //
   4
   5 #include <string>
   6 #include "ngraph_reader_tests.hpp"
   7
   8 TEST_F(NGraphReaderTests, ReadBinaryConvolutionNetwork) {
   9     std::string model = R"V0G0N(
  10 <net name="model_bin" version="10">
  11         <layers>
  12                 <layer id="0" name="612/placeholder_port_0" type="Parameter" version="opset1">
  13                         <data shape="1,64,28,28" element_type="f32"/>
  14                         <output>
  15                                 <port id="0" precision="FP32">
  16                                         <dim>1</dim>
  17                                         <dim>64</dim>
  18                                         <dim>28</dim>
  19                                         <dim>28</dim>
  20                                 </port>
  21                         </output>
  22                 </layer>
  23                 <layer id="1" name="626/Output_0/Data__const" type="Const" version="opset1">
  24                         <data offset="264" size="512" shape="64,64,1,1" element_type="u1"/>
  25                         <output>
  26                                 <port id="0" precision="U1">
  27                                         <dim>64</dim>
  28                                         <dim>64</dim>
  29                                         <dim>1</dim>
  30                                         <dim>1</dim>
  31                                 </port>
  32                         </output>
  33                 </layer>
  34                 <layer id="2" name="627" type="BinaryConvolution" version="opset1">
  35                         <data strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0" output_padding="0,0" pad_value="-1.0" mode="xnor-popcount"/>
  36                         <input>
  37                                 <port id="0">
  38                                         <dim>1</dim>
  39                                         <dim>64</dim>
  40                                         <dim>28</dim>
  41                                         <dim>28</dim>
  42                                 </port>
  43                                 <port id="1">
  44                                         <dim>64</dim>
  45                                         <dim>64</dim>
  46                                         <dim>1</dim>
  47                                         <dim>1</dim>
  48                                 </port>
  49                         </input>
  50                         <output>
  51                                 <port id="2" precision="FP32">
  52                                         <dim>1</dim>
  53                                         <dim>64</dim>
  54                                         <dim>28</dim>
  55                                         <dim>28</dim>
  56                                 </port>
  57                         </output>
  58                 </layer>
  59                 <layer id="3" name="627/sink_port_0" type="Result" version="opset1">
  60                         <input>
  61                                 <port id="0">
  62                                         <dim>1</dim>
  63                                         <dim>64</dim>
  64                                         <dim>28</dim>
  65                                         <dim>28</dim>
  66                                 </port>
  67                         </input>
  68                 </layer>
  69         </layers>
  70         <edges>
  71                 <edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
  72                 <edge from-layer="1" from-port="0" to-layer="2" to-port="1"/>
  73                 <edge from-layer="2" from-port="2" to-layer="3" to-port="0"/>
  74         </edges>
  75 </net>
  76 )V0G0N";
  77     std::string modelV7 = R"V0G0N(
  78 <net name="model_bin" version="7">
  79         <layers>
  80                 <layer id="0" name="612/placeholder_port_0" type="Input" version="opset1">
  81                         <output>
  82                                 <port id="0" precision="FP32">
  83                                         <dim>1</dim>
  84                                         <dim>64</dim>
  85                                         <dim>28</dim>
  86                                         <dim>28</dim>
  87                                 </port>
  88                         </output>
  89                 </layer>
  90                 <layer id="1" name="627" type="BinaryConvolution" version="opset1">
  91                         <data group="1" strides="1,1" dilations="1,1" kernel="1,1" pads_begin="0,0" pads_end="0,0" output="64" pad_value="-1.0" mode="xnor-popcount" input="64"/>
  92                         <input>
  93                                 <port id="0">
  94                                         <dim>1</dim>
  95                                         <dim>64</dim>
  96                                         <dim>28</dim>
  97                                         <dim>28</dim>
  98                                 </port>
  99                         </input>
 100                         <output>
 101                                 <port id="2" precision="FP32">
 102                                         <dim>1</dim>
 103                                         <dim>64</dim>
 104                                         <dim>28</dim>
 105                                         <dim>28</dim>
 106                                 </port>
 107                         </output>
 108                         <blobs>
 109                                 <weights offset="264" size="512" precision="U8"/>
 110                         </blobs>
 111                 </layer>
 112         </layers>
 113         <edges>
 114                 <edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
 115
 116         </edges>
 117 </net>
 118 )V0G0N";
 119     compareIRs(model, modelV7, 1288);
 120 }