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+<a href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;../TfLiteParser.hpp&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="keyword">struct </span>SliceFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;{</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;    <span class="keyword">explicit</span> SliceFixture(<span class="keyword">const</span> std::string &amp; inputShape,</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;                          <span class="keyword">const</span> std::string &amp; outputShape,</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;                          <span class="keyword">const</span> std::string &amp; beginData,</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;                          <span class="keyword">const</span> std::string &amp; sizeData)</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;    {</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="stringliteral">            {</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="stringliteral">                  &quot;version&quot;: 3,</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="stringliteral">                  &quot;operator_codes&quot;: [</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">                    {</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">                      &quot;builtin_code&quot;: &quot;SLICE&quot;,</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="stringliteral">                      &quot;version&quot;: 1</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="stringliteral">                    }</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="stringliteral">                  ],</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">                  &quot;subgraphs&quot;: [</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">                    {</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="stringliteral">                      &quot;tensors&quot;: [</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="stringliteral">                        {</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="stringliteral">                          &quot;shape&quot;: )&quot; + inputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">                          &quot;type&quot;: &quot;FLOAT32&quot;,</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">                          &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">                          &quot;name&quot;: &quot;inputTensor&quot;,</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">                          &quot;quantization&quot;: {</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="stringliteral">                            &quot;min&quot;: [</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="stringliteral">                              0.0</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">                            ],</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">                            &quot;max&quot;: [</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">                              255.0</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="stringliteral">                            ],</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="stringliteral">                            &quot;details_type&quot;: 0,</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="stringliteral">                            &quot;quantized_dimension&quot;: 0</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="stringliteral">                          },</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="stringliteral">                          &quot;is_variable&quot;: false</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="stringliteral">                        },</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="stringliteral">                        {</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="stringliteral">                          &quot;shape&quot;: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="stringliteral">                          &quot;type&quot;: &quot;FLOAT32&quot;,</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">                          &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">                          &quot;name&quot;: &quot;outputTensor&quot;,</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">                          &quot;quantization&quot;: {</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">                            &quot;details_type&quot;: 0,</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">                            &quot;quantized_dimension&quot;: 0</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">                          },</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="stringliteral">                          &quot;is_variable&quot;: false</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="stringliteral">                        })&quot;;</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="stringliteral">                            {</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="stringliteral">                            &quot;shape&quot;: [</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="stringliteral">                                3</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="stringliteral">                            ],</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">                            &quot;type&quot;: &quot;INT32&quot;,</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                            &quot;buffer&quot;: 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="stringliteral">                            &quot;name&quot;: &quot;beginTensor&quot;,</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="stringliteral">                            }</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="stringliteral">                            })&quot;;</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="stringliteral">                            {</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="stringliteral">                            &quot;shape&quot;: [</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="stringliteral">                                3</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="stringliteral">                            ],</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="stringliteral">                            &quot;type&quot;: &quot;INT32&quot;,</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="stringliteral">                            &quot;buffer&quot;: 3,</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="stringliteral">                            &quot;name&quot;: &quot;sizeTensor&quot;,</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">                            }</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">                            })&quot;;</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(],</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">                      &quot;inputs&quot;: [</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">                        0</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="stringliteral">                      ],</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="stringliteral">                      &quot;outputs&quot;: [</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="stringliteral">                        1</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="stringliteral">                      ],</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="stringliteral">                      &quot;operators&quot;: [</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="stringliteral">                        {</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="stringliteral">                          &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="stringliteral">                          &quot;inputs&quot;: [</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="stringliteral">                            0,</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="stringliteral">                            2,</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="stringliteral">                            3)&quot;;</span></div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(],</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="stringliteral">                          &quot;outputs&quot;: [</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="stringliteral">                            1</span></div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="stringliteral">                          ],</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="stringliteral">                          mutating_variable_inputs: [</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="stringliteral">                          ]</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="stringliteral">                        }</span></div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="stringliteral">                      ]</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="stringliteral">                    }</span></div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="stringliteral">                  ],</span></div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="stringliteral">                  &quot;description&quot;: &quot;TOCO Converted.&quot;,</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="stringliteral">                  &quot;buffers&quot;: [</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="stringliteral">                    { },</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="stringliteral">                    { })&quot;;</span></div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(,{&quot;data&quot;: )&quot; + beginData + R</span><span class="stringliteral">&quot;( })&quot;;</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(,{&quot;data&quot;: )&quot; + sizeData + R</span><span class="stringliteral">&quot;( })&quot;;</span></div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="stringliteral">                  ]</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="stringliteral">                }</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="stringliteral">        )&quot;;</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">SetupSingleInputSingleOutput</a>(</span><span class="stringliteral">&quot;inputTensor&quot;</span>, <span class="stringliteral">&quot;outputTensor&quot;</span>);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    }</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;};</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="keyword">struct </span>SliceFixtureSingleDim : SliceFixture</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;{</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    SliceFixtureSingleDim() : SliceFixture(<span class="stringliteral">&quot;[ 3, 2, 3 ]&quot;</span>,</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                                           <span class="stringliteral">&quot;[ 1, 1, 3 ]&quot;</span>,</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;                                           <span class="stringliteral">&quot;[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]&quot;</span>,</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                                           <span class="stringliteral">&quot;[ 1, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]&quot;</span>) {}</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;};</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ad39febdc840775ae427bf1312905b3a1">  127</a></span>&#160;<a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceSingleDim, SliceFixtureSingleDim)</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    RunTest&lt;3, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      0,</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;      {{<span class="stringliteral">&quot;inputTensor&quot;</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;      {{<span class="stringliteral">&quot;outputTensor&quot;</span>, { 3, 3, 3 }}});</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    BOOST_TEST((m_Parser-&gt;GetNetworkOutputBindingInfo(0, <span class="stringliteral">&quot;outputTensor&quot;</span>).second.GetShape()</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,3})));</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;}</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="keyword">struct </span>SliceFixtureD123 : SliceFixture</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;{</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    SliceFixtureD123() : SliceFixture(<span class="stringliteral">&quot;[ 3, 2, 3 ]&quot;</span>,</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                                      <span class="stringliteral">&quot;[ 1, 2, 3 ]&quot;</span>,</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                                      <span class="stringliteral">&quot;[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]&quot;</span>,</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                                      <span class="stringliteral">&quot;[ 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 ]&quot;</span>) {}</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;};</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ab11bfe5d6681c475acd000f75ee247fa">  146</a></span>&#160;<a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceD123, SliceFixtureD123)</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;{</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    RunTest&lt;3, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        0,</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        {{<span class="stringliteral">&quot;inputTensor&quot;</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        {{<span class="stringliteral">&quot;outputTensor&quot;</span>, { 3, 3, 3, 4, 4, 4 }}});</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    BOOST_TEST((m_Parser-&gt;GetNetworkOutputBindingInfo(0, <span class="stringliteral">&quot;outputTensor&quot;</span>).second.GetShape()</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,2,3})));</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;}</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="keyword">struct </span>SliceFixtureD213 : SliceFixture</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;{</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    SliceFixtureD213() : SliceFixture(<span class="stringliteral">&quot;[ 3, 2, 3 ]&quot;</span>,</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                                      <span class="stringliteral">&quot;[ 2, 1, 3 ]&quot;</span>,</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                                      <span class="stringliteral">&quot;[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]&quot;</span>,</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                                      <span class="stringliteral">&quot;[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]&quot;</span>) {}</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;};</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#a36d5b547c391071a26e2dc458aee103e">  165</a></span>&#160;<a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceD213, SliceFixtureD213)</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;{</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    RunTest&lt;3, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        0,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        {{<span class="stringliteral">&quot;inputTensor&quot;</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        {{<span class="stringliteral">&quot;outputTensor&quot;</span>, { 3, 3, 3, 5, 5, 5 }}});</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    BOOST_TEST((m_Parser-&gt;GetNetworkOutputBindingInfo(0, <span class="stringliteral">&quot;outputTensor&quot;</span>).second.GetShape()</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({2,1,3})));</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
+<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">ParserFlatbuffersFixture::m_JsonString</a></div><div class="ttdeci">std::string m_JsonString</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00051">ParserFlatbuffersFixture.hpp:51</a></div></div>
+<div class="ttc" id="armnn_tf_lite_parser_2test_2_slice_8cpp_xhtml_ad39febdc840775ae427bf1312905b3a1"><div class="ttname"><a href="armnn_tf_lite_parser_2test_2_slice_8cpp.xhtml#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(SliceSingleDim, SliceFixtureSingleDim)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_tf_lite_parser_2test_2_slice_8cpp_source.xhtml#l00127">Slice.cpp:127</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00037">ParserFlatbuffersFixture.hpp:37</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_parser_flatbuffers_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a></div></div>
+<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
+<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a2bb4ea256fbbf6d53068ca93bb4bc95c"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">ParserFlatbuffersFixture::SetupSingleInputSingleOutput</a></div><div class="ttdeci">void SetupSingleInputSingleOutput(const std::string &amp;inputName, const std::string &amp;outputName)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00094">ParserFlatbuffersFixture.hpp:94</a></div></div>
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