src/armnnTfLiteParser/test/GetBuffer.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // See LICENSE file in the project root for full license information.
   4 //
   5
   6 #include <boost/test/unit_test.hpp>
   7 #include "ParserFlatbuffersFixture.hpp"
   8 #include "../TfLiteParser.hpp"
   9 #include <sstream>
  10
  11 using armnnTfLiteParser::TfLiteParser;
  12
  13 BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
  14
  15 struct GetBufferFixture : public ParserFlatbuffersFixture
  16 {
  17     explicit GetBufferFixture()
  18     {
  19         m_JsonString = R"(
  20             {
  21                 "version": 3,
  22                 "operator_codes": [ { "builtin_code": "CONV_2D" } ],
  23                 "subgraphs": [ {
  24                     "tensors": [
  25                         {
  26                             "shape": [ 1, 3, 3, 1 ],
  27                             "type": "UINT8",
  28                             "buffer": 0,
  29                             "name": "inputTensor",
  30                             "quantization": {
  31                                 "min": [ 0.0 ],
  32                                 "max": [ 255.0 ],
  33                                 "scale": [ 1.0 ],
  34                                 "zero_point": [ 0 ],
  35                             }
  36                         },
  37                         {
  38                             "shape": [ 1, 1, 1, 1 ],
  39                             "type": "UINT8",
  40                             "buffer": 1,
  41                             "name": "outputTensor",
  42                             "quantization": {
  43                                 "min": [ 0.0 ],
  44                                 "max": [ 511.0 ],
  45                                 "scale": [ 2.0 ],
  46                                 "zero_point": [ 0 ],
  47                             }
  48                         },
  49                         {
  50                             "shape": [ 1, 3, 3, 1 ],
  51                             "type": "UINT8",
  52                             "buffer": 2,
  53                             "name": "filterTensor",
  54                             "quantization": {
  55                                 "min": [ 0.0 ],
  56                                 "max": [ 255.0 ],
  57                                 "scale": [ 1.0 ],
  58                                 "zero_point": [ 0 ],
  59                             }
  60                         }
  61                     ],
  62                     "inputs": [ 0 ],
  63                     "outputs": [ 1 ],
  64                     "operators": [
  65                         {
  66                             "opcode_index": 0,
  67                             "inputs": [ 0, 2 ],
  68                             "outputs": [ 1 ],
  69                             "builtin_options_type": "Conv2DOptions",
  70                             "builtin_options": {
  71                                 "padding": "VALID",
  72                                 "stride_w": 1,
  73                                 "stride_h": 1,
  74                                 "fused_activation_function": "NONE"
  75                             },
  76                             "custom_options_format": "FLEXBUFFERS"
  77                         }
  78                     ],
  79                 } ],
  80                 "buffers" : [
  81                     { },
  82                     { },
  83                     { "data": [ 2,1,0,  6,2,1, 4,1,2 ], },
  84                     { },
  85                 ]
  86             }
  87         )";
  88         ReadStringToBinary();
  89     }
  90
  91     void CheckBufferContents(const TfLiteParser::ModelPtr& model,
  92                              std::vector<int32_t> bufferValues, size_t bufferIndex)
  93     {
  94         for(long unsigned int i=0; i<bufferValues.size(); i++)
  95         {
  96             BOOST_CHECK_EQUAL(TfLiteParser::GetBuffer(model, bufferIndex)->data[i], bufferValues[i]);
  97         }
  98     }
  99 };
 100
 101 BOOST_FIXTURE_TEST_CASE(GetBufferCheckContents, GetBufferFixture)
 102 {
 103     //Check contents of buffer are correct
 104     TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
 105     std::vector<int32_t> bufferValues = {2,1,0,6,2,1,4,1,2};
 106     CheckBufferContents(model, bufferValues, 2);
 107 }
 108
 109 BOOST_FIXTURE_TEST_CASE(GetBufferCheckEmpty, GetBufferFixture)
 110 {
 111     //Check if test fixture buffers are empty or not
 112     TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
 113     BOOST_CHECK(TfLiteParser::GetBuffer(model, 0)->data.empty());
 114     BOOST_CHECK(TfLiteParser::GetBuffer(model, 1)->data.empty());
 115     BOOST_CHECK(!TfLiteParser::GetBuffer(model, 2)->data.empty());
 116     BOOST_CHECK(TfLiteParser::GetBuffer(model, 3)->data.empty());
 117 }
 118
 119 BOOST_FIXTURE_TEST_CASE(GetBufferCheckParseException, GetBufferFixture)
 120 {
 121     //Check if armnn::ParseException thrown when invalid buffer index used
 122     TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
 123     BOOST_CHECK_THROW(TfLiteParser::GetBuffer(model, 4)->data.empty(), armnn::Exception);
 124 }
 125
 126 BOOST_AUTO_TEST_SUITE_END()