Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
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+<div class="textblock"><code>#include <<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>></code><br />
+<code>#include <<a class="el" href="_ignore_unused_8hpp_source.xhtml">armnn/utility/IgnoreUnused.hpp</a>></code><br />
+<code>#include <doctest/doctest.h></code><br />
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+<tr class="memitem:a57f5476b8400b6dde078609d43ff49af"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_tensor_test_8cpp.xhtml#a57f5476b8400b6dde078609d43ff49af">TEST_SUITE</a> ("Tensor")</td></tr>
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+ <td class="memname">TEST_SUITE </td>
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+<p class="definition">Definition at line <a class="el" href="_tensor_test_8cpp_source.xhtml#l00013">13</a> of file <a class="el" href="_tensor_test_8cpp_source.xhtml">TensorTest.cpp</a>.</p>
+<div class="fragment"><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> <span class="keyword">struct </span>TensorInfoFixture</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  TensorInfoFixture()</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {6,7,8,9};</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  m_TensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, DataType::Float32);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  }</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  ~TensorInfoFixture() {};</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> m_TensorInfo;</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> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"ConstructShapeUsingListInitialization"</span>)</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> listInitializedShape{ 6, 7, 8, 9 };</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  CHECK(listInitializedShape == m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</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> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"ConstructTensorInfo"</span>)</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>  CHECK(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  CHECK(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="l00037"></a><span class="lineno"> 37</span>  CHECK(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 7);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  CHECK(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 8);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  CHECK(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="l00040"></a><span class="lineno"> 40</span> }</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"CopyConstructTensorInfo"</span>)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  CHECK(copyConstructed.GetNumDimensions() == 4);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  CHECK(copyConstructed.GetShape()[0] == 6);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  CHECK(copyConstructed.GetShape()[1] == 7);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  CHECK(copyConstructed.GetShape()[2] == 8);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  CHECK(copyConstructed.GetShape()[3] == 9);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"TensorInfoEquality"</span>)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  CHECK(copyConstructed == m_TensorInfo);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</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="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"TensorInfoInequality"</span>)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> other;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {2,3,4,5};</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  other = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, DataType::Float32);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  CHECK(other != m_TensorInfo);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(TensorInfoFixture, <span class="stringliteral">"TensorInfoAssignmentOperator"</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"> 69</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copy;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  copy = m_TensorInfo;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  CHECK(copy == m_TensorInfo);</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> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> TEST_CASE(<span class="stringliteral">"CopyNoQuantizationTensorInfo"</span>)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoA;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(DataType::QAsymmU8);</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> infoB;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(DataType::QAsymmU8);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  CHECK((infoA.<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="l00088"></a><span class="lineno"> 88</span>  CHECK((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8));</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 1);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 0);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  CHECK(!infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>());</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  CHECK(infoA != infoB);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  infoA = infoB;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  CHECK(infoA == infoB);</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>  CHECK((infoA.<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="l00098"></a><span class="lineno"> 98</span>  CHECK((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 1);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> }</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> TEST_CASE(<span class="stringliteral">"CopyDifferentQuantizationTensorInfo"</span>)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoA;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(DataType::QAsymmU8);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoB;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(DataType::QAsymmU8);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(11.0f);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(6);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(2));</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>  CHECK((infoA.<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="l00121"></a><span class="lineno"> 121</span>  CHECK((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8));</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 1);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  CHECK(infoA != infoB);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  infoA = infoB;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  CHECK(infoA == infoB);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  CHECK((infoA.<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="l00131"></a><span class="lineno"> 131</span>  CHECK((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 11.0f);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 6);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 2);</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> <span class="keywordtype">void</span> CheckTensor(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& t)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  t.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> TEST_CASE(<span class="stringliteral">"TensorVsConstTensor"</span>)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">int</span> mutableDatum = 2;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> immutableDatum = 3;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> uninitializedTensor;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  uninitializedTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> uninitializedTensor2;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  uninitializedTensor2 = uninitializedTensor;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> emptyTensorInfo;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  emptyTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> t(emptyTensorInfo, &mutableDatum);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> ct(emptyTensorInfo, &immutableDatum);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// Checks that both Tensor and ConstTensor can be passed as a ConstTensor.</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  CheckTensor(t);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  CheckTensor(ct);</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> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> TEST_CASE(<span class="stringliteral">"ConstTensor_EmptyConstructorTensorInfoSet"</span>)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> t;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  CHECK(t.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>() == <span class="keyword">true</span>);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> TEST_CASE(<span class="stringliteral">"ConstTensor_TensorInfoNotConstantError"</span>)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo ({ 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::vector<float> tensorData = { 1.0f };</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> ct(tensorInfo, tensorData);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  FAIL(<span class="stringliteral">"InvalidArgumentException should have been thrown"</span>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>& exc)</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>  CHECK(strcmp(exc.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>(), <span class="stringliteral">"Invalid attempt to construct ConstTensor from non-constant TensorInfo."</span>) == 0);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> TEST_CASE(<span class="stringliteral">"PassTensorToConstTensor_TensorInfoNotConstantError"</span>)</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> t = <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(<a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>());</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  FAIL(<span class="stringliteral">"InvalidArgumentException should have been thrown"</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>& exc)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  CHECK(strcmp(exc.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>(), <span class="stringliteral">"Invalid attempt to construct ConstTensor from "</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="stringliteral">"Tensor due to non-constant TensorInfo"</span>) == 0);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> TEST_CASE(<span class="stringliteral">"ModifyTensorInfo"</span>)</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</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="l00201"></a><span class="lineno"> 201</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="l00202"></a><span class="lineno"> 202</span>  CHECK((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="l00203"></a><span class="lineno"> 203</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(DataType::QAsymmU8);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  CHECK((info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8));</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  CHECK(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  CHECK(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> TEST_CASE(<span class="stringliteral">"TensorShapeOperatorBrackets"</span>)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> constShape({0,1,2,3});</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> shape({0,1,2,3});</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Checks version of operator[] which returns an unsigned int.</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  CHECK(shape[2] == 2);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  shape[2] = 20;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  CHECK(shape[2] == 20);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Checks the version of operator[] which returns a reference.</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  CHECK(constShape[2] == 2);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> TEST_CASE(<span class="stringliteral">"TensorInfoPerAxisQuantization"</span>)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Old constructor</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo0({ 1, 1 }, DataType::Float32, 2.0f, 1);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  CHECK(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  CHECK(tensorInfo0.GetQuantizationScale() == 2.0f);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  CHECK(tensorInfo0.GetQuantizationOffset() == 1);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  CHECK(tensorInfo0.GetQuantizationScales()[0] == 2.0f);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  CHECK(!tensorInfo0.GetQuantizationDim().has_value());</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Set per-axis quantization scales</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  std::vector<float> perAxisScales{ 3.0f, 4.0f };</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  tensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(perAxisScales);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  CHECK(tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  CHECK(tensorInfo0.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Set per-tensor quantization scale</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  tensorInfo0.SetQuantizationScale(5.0f);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  CHECK(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  CHECK(tensorInfo0.GetQuantizationScales()[0] == 5.0f);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Set quantization offset</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  tensorInfo0.SetQuantizationDim(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  CHECK(tensorInfo0.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// New constructor</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  perAxisScales = { 6.0f, 7.0f };</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo1({ 1, 1 }, DataType::Float32, perAxisScales, 1);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  CHECK(tensorInfo1.HasMultipleQuantizationScales());</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  CHECK(tensorInfo1.GetQuantizationOffset() == 0);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  CHECK(tensorInfo1.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  CHECK(tensorInfo1.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> TEST_CASE(<span class="stringliteral">"TensorShape_scalar"</span>)</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a> );</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> info ( shape, DataType::Float32 );</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a> == shape.GetDimensionality());</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordtype">float</span> scalarValue = *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensor.GetMemoryArea());</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  CHECK_MESSAGE(mutableDatum == scalarValue, <span class="stringliteral">"Scalar value is "</span> << scalarValue);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  shape_equal = shape;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  CHECK(shape_equal == shape);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  CHECK(shape_different != shape);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  CHECK_MESSAGE(1 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  CHECK_MESSAGE(1 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  CHECK(shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  CHECK(shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  CHECK(1 == shape[0]);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  CHECK(1 == tensor.GetShape()[0]);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  CHECK(1 == tensor.GetInfo().GetShape()[0]);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  CHECK_THROWS_AS( shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordtype">float</span> newMutableDatum = 42.f;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  std::memcpy(tensor.GetMemoryArea(), &newMutableDatum, <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  scalarValue = *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensor.GetMemoryArea());</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  CHECK_MESSAGE(newMutableDatum == scalarValue, <span class="stringliteral">"Scalar value is "</span> << scalarValue);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> }</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> TEST_CASE(<span class="stringliteral">"TensorShape_DynamicTensorType1_unknownNumberDimensions"</span>)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> );</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> info ( shape, DataType::Float32 );</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  CHECK_THROWS_AS( shape[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  CHECK_THROWS_AS( shape.GetNumElements(), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  CHECK_THROWS_AS( shape.GetNumDimensions(), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  shape_equal = shape;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  CHECK(shape_equal == shape);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  CHECK(shape_different != shape);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> TEST_CASE(<span class="stringliteral">"TensorShape_DynamicTensorType1_unknownAllDimensionsSizes"</span>)</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape ( 3, <span class="keyword">false</span> );</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> info ( shape, DataType::Float32 );</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  CHECK_MESSAGE(0 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  CHECK(!shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  CHECK(!shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  shape_equal = shape;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  CHECK(shape_equal == shape);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  CHECK(shape_different != shape);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> }</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> TEST_CASE(<span class="stringliteral">"TensorShape_DynamicTensorType1_unknownSomeDimensionsSizes"</span>)</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> {</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  std::vector<float> mutableDatum { 42.f, 42.f, 42.f,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  0.0f, 0.1f, 0.2f };</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape ( {2, 0, 3}, {<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>} );</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> info ( shape, DataType::Float32 );</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  CHECK_MESSAGE(6 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  CHECK(!shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  CHECK(shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  CHECK_THROWS_AS(shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  CHECK_THROWS_AS(tensor.GetShape()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  CHECK_THROWS_AS(tensor.GetInfo().GetShape()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  CHECK(2 == shape[0]);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  CHECK(2 == tensor.GetShape()[0]);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  CHECK(2 == tensor.GetInfo().GetShape()[0]);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  CHECK_THROWS_AS( shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  CHECK(3 == shape[2]);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  CHECK(3 == tensor.GetShape()[2]);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  CHECK(3 == tensor.GetInfo().GetShape()[2]);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  shape_equal = shape;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  CHECK(shape_equal == shape);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  CHECK(shape_different != shape);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> TEST_CASE(<span class="stringliteral">"TensorShape_DynamicTensorType1_transitionFromUnknownToKnownDimensionsSizes"</span>)</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> {</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  std::vector<float> mutableDatum { 42.f, 42.f, 42.f,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  0.0f, 0.1f, 0.2f };</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> );</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> info ( shape, DataType::Float32 );</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Specify the number of dimensions</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  shape.SetNumDimensions(3);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  CHECK(!shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  CHECK(!shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">// Specify dimension 0 and 2.</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  shape.SetDimensionSize(0, 2);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  shape.SetDimensionSize(2, 3);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  CHECK_MESSAGE(6 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  CHECK(!shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  CHECK(shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(shape);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor2( info, &mutableDatum );</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  CHECK(2 == shape[0]);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  CHECK(2 == tensor2.GetShape()[0]);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  CHECK(2 == tensor2.GetInfo().GetShape()[0]);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  CHECK_THROWS_AS(shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  CHECK_THROWS_AS(tensor.GetShape()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  CHECK_THROWS_AS(tensor.GetInfo().GetShape()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  CHECK(3 == shape[2]);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  CHECK(3 == tensor2.GetShape()[2]);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  CHECK(3 == tensor2.GetInfo().GetShape()[2]);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  shape_equal = shape;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  CHECK(shape_equal == shape);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  CHECK(shape_different != shape);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Specify dimension 1.</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  shape.SetDimensionSize(1, 5);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  CHECK_MESSAGE(30 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  CHECK(shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  CHECK(shape.IsAtLeastOneDimensionSpecified());</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> TEST_CASE(<span class="stringliteral">"Tensor_emptyConstructors"</span>)</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">auto</span> shape = <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>();</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  CHECK_MESSAGE( 0 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  CHECK_MESSAGE( 0 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  CHECK( <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  CHECK( shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  CHECK_THROWS_AS( shape[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">auto</span> tensor = <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>();</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  CHECK_MESSAGE( 0 == tensor.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << tensor.GetNumDimensions());</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  CHECK_MESSAGE( 0 == tensor.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << tensor.GetNumElements());</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  CHECK_MESSAGE( 0 == tensor.GetShape().GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> <<</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  tensor.GetShape().GetNumDimensions());</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  CHECK_MESSAGE( 0 == tensor.GetShape().GetNumElements(), <span class="stringliteral">"Number of dimensions is "</span> <<</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  tensor.GetShape().GetNumElements());</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  CHECK( <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == tensor.GetShape().GetDimensionality());</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  CHECK( tensor.GetShape().AreAllDimensionsSpecified());</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  CHECK_THROWS_AS( tensor.GetShape()[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> }</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00509">Tensor.cpp:509</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#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</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#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00494">Tensor.cpp:494</a></div></div>
+<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</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="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></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#l00193">Tensor.hpp:193</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#l00319">Tensor.hpp:319</a></div></div>
+<div class="ttc" id="_mem_copy_tests_8cpp_xhtml_a3df1acc0ccc35bce0bd6c027e23e2c45"><div class="ttname"><a href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a></div><div class="ttdeci">TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")</div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_tests_8cpp_source.xhtml#l00089">MemCopyTests.cpp:89</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#l00478">Tensor.cpp:478</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#l00461">Tensor.cpp:461</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#l00198">Tensor.hpp:198</a></div></div>
+<div class="ttc" id="classarmnn_1_1_optional_base_xhtml_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00053">Optional.hpp:53</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#l00327">Tensor.hpp:327</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#l00473">Tensor.cpp:473</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#l00295">Tensor.hpp:295</a></div></div>
+<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>
+<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#l00199">Tensor.hpp:199</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a519efe8ff6dc3aacdfe8a999415e3e4e"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">armnn::TensorInfo::SetQuantizationDim</a></div><div class="ttdeci">void SetQuantizationDim(const Optional< unsigned int > &quantizationDim)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00499">Tensor.cpp:499</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></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_info_xhtml_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00514">Tensor.cpp:514</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#l00489">Tensor.cpp:489</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a1a8675f9d64c3fb59e6af15362bb6332"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">armnn::TensorInfo::SetQuantizationScales</a></div><div class="ttdeci">void SetQuantizationScales(const std::vector< float > &scales)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00456">Tensor.cpp:456</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#l00195">Tensor.hpp:195</a></div></div>
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