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+<a href="_concat_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 © 2017 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="_i_tf_parser_8hpp.xhtml">armnnTfParser/ITfParser.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a>&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>(TensorflowParser)</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>ConcatFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a>&lt;armnnTfParser::ITfParser&gt;</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> ConcatFixture(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>&amp; inputShape0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>&amp; inputShape1,</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;                           <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatDim)</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;    {</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;        <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a> = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="stringliteral">        node {</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="stringliteral">          name: &quot;graphInput0&quot;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="stringliteral">          op: &quot;Placeholder&quot;</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="stringliteral">            key: &quot;dtype&quot;</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">              type: DT_FLOAT</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="stringliteral">            }</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">          attr {</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">            key: &quot;shape&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="stringliteral">              shape {</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">            }</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">          }</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">        }</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">        node {</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">          name: &quot;graphInput1&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="stringliteral">          op: &quot;Placeholder&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">            key: &quot;dtype&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">              type: DT_FLOAT</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">          }</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="stringliteral">            key: &quot;shape&quot;</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="stringliteral">              shape {</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">            }</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="stringliteral">          }</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">        }</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">        node {</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">          name: &quot;concat/axis&quot;</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">          op: &quot;Const&quot;</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">            key: &quot;dtype&quot;</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="stringliteral">              type: DT_INT32</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="stringliteral">            }</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">          attr {</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="stringliteral">            key: &quot;value&quot;</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">              tensor {</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                dtype: DT_INT32</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="stringliteral">                tensor_shape {</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="stringliteral">                }</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="stringliteral">                int_val: )&quot;;</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="stringliteral">        <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a> += std::to_string(concatDim);</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">        <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a> += R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="stringliteral">              }</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">          }</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="stringliteral">        }</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="stringliteral">        node {</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">          name: &quot;concat&quot;</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">          op: &quot;ConcatV2&quot;</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">          input: &quot;graphInput0&quot;</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">          input: &quot;graphInput1&quot;</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">          input: &quot;concat/axis&quot;</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="stringliteral">            key: &quot;N&quot;</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="stringliteral">              i: 2</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">          }</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="stringliteral">            key: &quot;T&quot;</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="stringliteral">              type: DT_FLOAT</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="stringliteral">            }</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="stringliteral">          }</span></div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="stringliteral">          attr {</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="stringliteral">            key: &quot;Tidx&quot;</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="stringliteral">            value {</span></div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="stringliteral">              type: DT_FLOAT</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="stringliteral">            }</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">        )&quot;;</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">        <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>({{</span><span class="stringliteral">&quot;graphInput0&quot;</span>, inputShape0 },</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;               {<span class="stringliteral">&quot;graphInput1&quot;</span>, inputShape1 }}, {<span class="stringliteral">&quot;concat&quot;</span>});</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    }</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;};</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="keyword">struct </span>ConcatFixtureNCHW : ConcatFixture</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    ConcatFixtureNCHW() : ConcatFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, 1 ) {}</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;};</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">struct </span>ConcatFixtureNHWC : ConcatFixture</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    ConcatFixtureNHWC() : ConcatFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, 3 ) {}</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"><a class="line" href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">  119</a></span>&#160;<a class="code" href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">BOOST_FIXTURE_TEST_CASE</a>(ParseConcatNCHW, ConcatFixtureNCHW)</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;    RunTest&lt;4&gt;({{<span class="stringliteral">&quot;graphInput0&quot;</span>, {0.0, 1.0, 2.0, 3.0}},</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                {<span class="stringliteral">&quot;graphInput1&quot;</span>, {4.0, 5.0, 6.0, 7.0}}},</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;               {{<span class="stringliteral">&quot;concat&quot;</span>, { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 }}});</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;}</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"><a class="line" href="_concat_8cpp.xhtml#abeaab3e0fa26cd784174d04089134a87">  126</a></span>&#160;<a class="code" href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">BOOST_FIXTURE_TEST_CASE</a>(ParseConcatNHWC, ConcatFixtureNHWC)</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;{</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    RunTest&lt;4&gt;({{<span class="stringliteral">&quot;graphInput0&quot;</span>, {0.0, 1.0, 2.0, 3.0}},</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;                {<span class="stringliteral">&quot;graphInput1&quot;</span>, {4.0, 5.0, 6.0, 7.0}}},</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;               {{<span class="stringliteral">&quot;concat&quot;</span>, { 0.0, 1.0, 4.0, 5.0, 2.0, 3.0, 6.0, 7.0 }}});</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;}</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;<span class="keyword">struct </span>ConcatFixtureDim1 : ConcatFixture</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;{</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    ConcatFixtureDim1() : ConcatFixture({ 1, 2, 3, 4 }, { 1, 2, 3, 4 }, 1) {}</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>ConcatFixtureDim3 : ConcatFixture</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;    ConcatFixtureDim3() : ConcatFixture({ 1, 2, 3, 4 }, { 1, 2, 3, 4 }, 3) {}</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;};</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="_concat_8cpp.xhtml#aee208a963e5fb25f0def48f56aa8bae6">  143</a></span>&#160;<a class="code" href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">BOOST_FIXTURE_TEST_CASE</a>(ParseConcatDim1, ConcatFixtureDim1)</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;    RunTest&lt;4&gt;({ { <span class="stringliteral">&quot;graphInput0&quot;</span>, {  0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                                     12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0 } },</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                 { <span class="stringliteral">&quot;graphInput1&quot;</span>, {  50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0,</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                                     62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0 } } },</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;               { { <span class="stringliteral">&quot;concat&quot;</span>,      {  0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;                                     12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;                                     50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                                     62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0 } } });</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;}</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="_concat_8cpp.xhtml#a59b0e71f5ddb41ada13662fe8af62bd7">  155</a></span>&#160;<a class="code" href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">BOOST_FIXTURE_TEST_CASE</a>(ParseConcatDim3, ConcatFixtureDim3)</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;    RunTest&lt;4&gt;({ { <span class="stringliteral">&quot;graphInput0&quot;</span>, {  0.0, 1.0, 2.0, 3.0,</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                                     4.0, 5.0, 6.0, 7.0,</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                                     8.0, 9.0, 10.0, 11.0,</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                                     12.0, 13.0, 14.0, 15.0,</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                                     16.0, 17.0, 18.0, 19.0,</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                                     20.0, 21.0, 22.0, 23.0 } },</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                 { <span class="stringliteral">&quot;graphInput1&quot;</span>, {  50.0, 51.0, 52.0, 53.0,</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                                     54.0, 55.0, 56.0, 57.0,</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                                     58.0, 59.0, 60.0, 61.0,</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                                     62.0, 63.0, 64.0, 65.0,</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                                     66.0, 67.0, 68.0, 69.0,</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                                     70.0, 71.0, 72.0, 73.0 } } },</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;               { { <span class="stringliteral">&quot;concat&quot;</span>,      {  0.0,  1.0,  2.0,  3.0,</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                                     50.0, 51.0, 52.0, 53.0,</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                                     4.0,  5.0,  6.0,  7.0,</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;                                     54.0, 55.0, 56.0, 57.0,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                                     8.0,  9.0,  10.0, 11.0,</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                                     58.0, 59.0, 60.0, 61.0,</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;                                     12.0, 13.0, 14.0, 15.0,</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;                                     62.0, 63.0, 64.0, 65.0,</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;                                     16.0, 17.0, 18.0, 19.0,</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;                                     66.0, 67.0, 68.0, 69.0,</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;                                     20.0, 21.0, 22.0, 23.0,</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;                                     70.0, 71.0, 72.0, 73.0 } } });</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;}</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</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="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml_a5ca0f757171382fbf7fa5b05b447b024"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">armnnUtils::ParserPrototxtFixture&lt; armnnTfParser::ITfParser &gt;::m_Prototext</a></div><div class="ttdeci">std::string m_Prototext</div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00068">ParserPrototxtFixture.hpp:68</a></div></div>
+<div class="ttc" id="_i_tf_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_parser_8hpp.xhtml">ITfParser.hpp</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="_concat_8cpp_xhtml_ad527e8d689cc7f7d58ae66fa8a5b653a"><div class="ttname"><a href="_concat_8cpp.xhtml#ad527e8d689cc7f7d58ae66fa8a5b653a">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ParseConcatNCHW, ConcatFixtureNCHW)</div><div class="ttdef"><b>Definition:</b> <a href="_concat_8cpp_source.xhtml#l00119">Concat.cpp:119</a></div></div>
+<div class="ttc" id="_parser_prototxt_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.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="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">armnnUtils::ParserPrototxtFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00140">ParserPrototxtFixture.hpp:140</a></div></div>
+<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00024">ParserPrototxtFixture.hpp:24</a></div></div>
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