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<div class="title">TensorTest.cpp</div> </div>
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<a href="_tensor_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 © 2017 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> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Adds unit test framework for interpreting TensorInfo type.</span></div><div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052"> 12</a></span> std::ostream& <a class="code" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">boost_test_print_type</a>(std::ostream& ostr, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& right)</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  ostr << <span class="stringliteral">"TensorInfo[ "</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() << <span class="stringliteral">","</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] << <span class="stringliteral">","</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] << <span class="stringliteral">","</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] << <span class="stringliteral">","</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3]</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  << <span class="stringliteral">" ]"</span> << std::endl;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">return</span> ostr;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> }</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af676ec7e9534bd6e6ac3072a2c0403f4"> 24</a></span> std::ostream& <a class="code" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">boost_test_print_type</a>(std::ostream& ostr, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& shape)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  ostr << <span class="stringliteral">"TensorShape[ "</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() << <span class="stringliteral">","</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  << shape[0] << <span class="stringliteral">","</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  << shape[1] << <span class="stringliteral">","</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  << shape[2] << <span class="stringliteral">","</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  << shape[3]</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  << <span class="stringliteral">" ]"</span> << std::endl;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> ostr;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> } <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(<a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">struct </span>TensorInfoFixture</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  TensorInfoFixture()</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {6,7,8,9};</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  m_TensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  }</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  ~TensorInfoFixture() {};</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> m_TensorInfo;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> };</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13"> 53</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(ConstructShapeUsingListInitialization, TensorInfoFixture)</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> listInitializedShape{ 6, 7, 8, 9 };</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  BOOST_TEST(listInitializedShape == m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</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> </div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a37f7ffb280c544fe70e212e24fc5c2a7"> 59</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(ConstructTensorInfo, TensorInfoFixture)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 6); <span class="comment">// <= Outer most</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 7);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 8);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 9); <span class="comment">// <= Inner most</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a3370241e4a543440e79a3d1842fe6f9f"> 68</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(CopyConstructTensorInfo, TensorInfoFixture)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 6);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 7);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 8);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 9);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a8ff9749fd66d314c3c2bbef1eca00f09"> 78</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoEquality, TensorInfoFixture)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  BOOST_TEST(copyConstructed == m_TensorInfo);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aa2d0d8c3d827fec2b96ff3ae2389550e"> 84</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoInequality, TensorInfoFixture)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> other;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {2,3,4,5};</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  other = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  BOOST_TEST(other != m_TensorInfo);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a0c4119e76379387b984dbbbf998f2925"> 93</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoAssignmentOperator, TensorInfoFixture)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copy;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  copy = m_TensorInfo;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  BOOST_TEST(copy == m_TensorInfo);</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> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3"> 100</a></span> <span class="keywordtype">void</span> <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& t)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  t.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aa08fb9adf6eaf05fd4a3698880c1c292"> 105</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorVsConstTensor)</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>  <span class="keywordtype">int</span> mutableDatum = 2;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> immutableDatum = 3;</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.xhtml">armnn::Tensor</a> uninitializedTensor;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> uninitializedTensor2;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  uninitializedTensor2 = uninitializedTensor;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> t(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(), &mutableDatum);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> ct(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(), &immutableDatum);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Checks that both Tensor and ConstTensor can be passed as a ConstTensor.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(t);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(ct);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a67f451b173e1cea17e907085cb967184"> 123</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ModifyTensorInfo)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  BOOST_TEST((info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  BOOST_TEST((info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  BOOST_TEST(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  BOOST_TEST(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a60cf24873ff60e391417efc873e9c55e"> 136</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShapeOperatorBrackets)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> shape({0,1,2,3});</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Checks version of operator[] which returns an unsigned int.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  BOOST_TEST(shape[2] == 2);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Checks the version of operator[] which returns a reference.</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  shape[2] = 20;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  BOOST_TEST(shape[2] == 20);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ad842127d839c39ea39e3c0f3ac219728"> 146</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorInfoPerAxisQuantization)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// Old constructor</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo0({ 1, 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, 2.0f, 1);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationScale() == 2.0f);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationOffset() == 1);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationScales()[0] == 2.0f);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(!tensorInfo0.GetQuantizationDim().has_value());</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// Set per-axis quantization scales</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  std::vector<float> perAxisScales{ 3.0f, 4.0f };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  tensorInfo0.SetQuantizationScales(perAxisScales);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// Set per-tensor quantization scale</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  tensorInfo0.SetQuantizationScale(5.0f);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationScales()[0] == 5.0f);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Set quantization offset</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  tensorInfo0.SetQuantizationDim(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo0.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// New constructor</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  perAxisScales = { 6.0f, 7.0f };</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo1({ 1, 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, perAxisScales, 1);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo1.HasMultipleQuantizationScales());</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo1.GetQuantizationOffset() == 0);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo1.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(tensorInfo1.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</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>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< unsigned int ></a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_tensor_test_8cpp_xhtml_ab7e46ed88187c63506b21f45abbabb13"><div class="ttname"><a href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ConstructShapeUsingListInitialization, TensorInfoFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00053">TensorTest.cpp:53</a></div></div>
<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>
<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="_file_only_profiling_decorator_tests_8cpp_xhtml_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.xhtml#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00090">Tensor.hpp:90</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="_tensor_test_8cpp_xhtml_ad80e179ec400af9d2547f172f3ca05f3"><div class="ttname"><a href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a></div><div class="ttdeci">void CheckTensor(const ConstTensor &t)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00100">TensorTest.cpp:100</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00264">Tensor.cpp:264</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00247">Tensor.cpp:247</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
<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>
<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00167">Tensor.hpp:167</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00096">Tensor.hpp:96</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abe311824d11bad4e6f93c8f94a721052"><div class="ttname"><a href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">armnn::boost_test_print_type</a></div><div class="ttdeci">std::ostream & boost_test_print_type(std::ostream &ostr, const TensorInfo &right)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00012">TensorTest.cpp:12</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="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00043">Tensor.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
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