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| 101 | <a href="_tensor_utils_test_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.xhtml">armnnUtils/TensorUtils.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a>;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorUtilsSuite)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a6e672cf04351ee8892329b68c27e9c14"> 17</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsAxis0Test)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="comment">// Expand dimension 0</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, 0);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  BOOST_TEST(outputShape[0] == 1);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  BOOST_TEST(outputShape[1] == 2);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  BOOST_TEST(outputShape[2] == 3);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a86bc813164349ab85f235da3c80358a7"> 30</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsAxis1Test)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="comment">// Expand dimension 1</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, 1);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  BOOST_TEST(outputShape[1] == 1);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  BOOST_TEST(outputShape[2] == 3);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#ae770db0f1e6414418b5c218cd911240f"> 43</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsAxis2Test)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Expand dimension 2</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, 2);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  BOOST_TEST(outputShape[1] == 3);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  BOOST_TEST(outputShape[2] == 1);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a0d048754792d48814de6439d92a29d9c"> 56</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsAxis3Test)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Expand dimension 3</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, 3);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  BOOST_TEST(outputShape[1] == 3);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  BOOST_TEST(outputShape[2] == 4);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  BOOST_TEST(outputShape[3] == 1);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a24cf6420255d3bd5216d6647b4a9bbe4"> 69</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsNegativeAxis1Test)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Expand dimension -1</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, -1);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  BOOST_TEST(outputShape[1] == 3);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  BOOST_TEST(outputShape[2] == 4);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  BOOST_TEST(outputShape[3] == 1);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a1e0b87cda1d2bfe80088d3471e7fd686"> 82</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsNegativeAxis2Test)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// Expand dimension -2</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, -2);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  BOOST_TEST(outputShape[1] == 3);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  BOOST_TEST(outputShape[2] == 1);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#abceec4b5019af3a180d3984b9dea53b8"> 95</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsNegativeAxis3Test)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// Expand dimension -3</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, -3);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  BOOST_TEST(outputShape[0] == 2);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  BOOST_TEST(outputShape[1] == 1);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  BOOST_TEST(outputShape[2] == 3);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a37e741751fee525555c3ea6532cd17da"> 108</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsNegativeAxis4Test)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Expand dimension -4</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape = <a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, -4);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  BOOST_TEST(outputShape.GetNumDimensions() == 4);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  BOOST_TEST(outputShape[0] == 1);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  BOOST_TEST(outputShape[1] == 2);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_TEST(outputShape[2] == 3);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  BOOST_TEST(outputShape[3] == 4);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#adcbc12d75dfa067e4664f40ec118ea13"> 121</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsInvalidAxisTest)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Invalid expand dimension 4</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  BOOST_CHECK_THROW(<a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, 4), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="_tensor_utils_test_8cpp.xhtml#a5a5368956088b8ef14d465055b89d447"> 129</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ExpandDimsInvalidNegativeAxisTest)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape({ 2, 3, 4 });</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Invalid expand dimension -5</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  BOOST_CHECK_THROW(<a class="code" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(inputShape, -5), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <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> |
| 102 | <div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> |
| 103 | <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> |
| 104 | <div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> |
| 105 | <div class="ttc" id="namespacearmnn_utils_xhtml_a0d3b1be320610515e0cac8d745d9f8c2"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">armnnUtils::ExpandDims</a></div><div class="ttdeci">armnn::TensorShape ExpandDims(const armnn::TensorShape &tensorShape, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.xhtml#l00085">TensorUtils.cpp:85</a></div></div> |
| 106 | <div class="ttc" id="namespacearmnn_xhtml_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00170">ConstTensorLayerVisitor.cpp:170</a></div></div> |
| 107 | <div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> |
| 108 | <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> |
| 109 | <div class="ttc" id="_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_utils_8hpp.xhtml">TensorUtils.hpp</a></div></div> |
| 110 | <div class="ttc" id="namespacearmnn_utils_xhtml"><div class="ttname"><a href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00013">DataLayoutIndexed.hpp:13</a></div></div> |
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