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<div class="title">Validation.cpp</div> </div>
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<a href="_validation_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validation_8h.xhtml">Validation.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_accessor_8h.xhtml">IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_raw_tensor_8h.xhtml">RawTensor.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_type_printer_8h.xhtml">TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;Utils.h&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_fixed_point_8h.xhtml">arm_compute/core/FixedPoint.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="preprocessor">#include &lt;iomanip&gt;</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;{</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="keywordtype">double</span> get_double_data(<span class="keyword">const</span> <span class="keywordtype">void</span> *ptr, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">switch</span>(data_type)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>uint8_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>int8_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>uint16_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>int16_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>uint32_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>int32_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>uint64_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>int64_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="preprocessor">#if ENABLE_FP16</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>float16_t *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">double</span> *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">size_t</span> *<span class="keyword">&gt;</span>(ptr);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;NOT SUPPORTED!&quot;</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;}</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="keywordtype">void</span> check_border_element(<span class="keyword">const</span> IAccessor &amp;tensor, <span class="keyword">const</span> Coordinates &amp;<span class="keywordtype">id</span>,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &amp;border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; int64_t &amp;num_elements, int64_t &amp;num_mismatches)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.data_type());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t *<span class="keyword">&gt;</span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">BorderMode::REPLICATE</a>)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; Coordinates border_id{ <span class="keywordtype">id</span> };</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; border_id.set(1, 0);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; border_value = tensor(border_id);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel &lt; tensor.num_channels(); ++channel)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.data_type());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(static_cast&lt;const uint8_t *&gt;(border_value) + channel_offset, tensor.data_type());</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;id = &quot;</span> &lt;&lt; <span class="keywordtype">id</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;channel = &quot;</span> &lt;&lt; channel);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;reference = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; ref);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;target = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; target);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span>(difference != 0.f)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; ++num_mismatches;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; ++num_elements;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;}</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="keywordtype">void</span> check_single_element(<span class="keyword">const</span> Coordinates &amp;<span class="keywordtype">id</span>, <span class="keyword">const</span> IAccessor &amp;tensor, <span class="keyword">const</span> RawTensor &amp;reference, <span class="keywordtype">float</span> tolerance_value,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; uint64_t wrap_range, <span class="keywordtype">int</span> min_channels, <span class="keywordtype">size_t</span> channel_size, int64_t &amp;num_mismatches, int64_t &amp;num_elements)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;{</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t *<span class="keyword">&gt;</span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> ref_ptr = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t *<span class="keyword">&gt;</span>(reference(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel &lt; min_channels; ++channel)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, reference.data_type());</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(ref_ptr + channel_offset, reference.data_type());</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;id = &quot;</span> &lt;&lt; <span class="keywordtype">id</span>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;channel = &quot;</span> &lt;&lt; channel);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;reference = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; ref);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;target = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; target);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(difference) &gt; tolerance_value)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="comment">// If no special cases for tolerating wrappping cases</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="comment">// or the special case of wrapping exceeds tolerance_value</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="keywordflow">if</span>(wrap_range == 0 || (wrap_range - <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(difference)) &gt; tolerance_value)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; ++num_mismatches;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; ++num_elements;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;}</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f"> 166</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &amp;region, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &amp;reference)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;{</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d] == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d]);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d] == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d]);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; }</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;}</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305"> 182</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &amp;padding, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &amp;reference)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;{</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;}</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a30a106bd01550a45b186beda2abccb9c"> 190</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &amp;tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;reference, <span class="keywordtype">float</span> tolerance_value, <span class="keywordtype">float</span> tolerance_number, uint64_t wrap_range)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// Validate with valid region covering the entire shape</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(tensor, reference, <a class="code" href="namespacearm__compute_1_1test.xhtml#a670cba074b4be0bf9af03e48250bd616">shape_to_valid_region</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()), tolerance_value, tolerance_number, wrap_range);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;}</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9869b9fc8ba5ff877ab8a45fc947b7f9"> 196</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &amp;tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;reference, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;valid_region, <span class="keywordtype">float</span> tolerance_value, <span class="keywordtype">float</span> tolerance_number, uint64_t wrap_range)</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;{</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; int64_t num_mismatches = 0;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; int64_t num_elements = 0;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">element_size</a>());</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>());</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>());</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">num_channels</a>());</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; BOOST_TEST(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa5930677af602cee147919968acaca59">compare_dimensions</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">shape</a>()));</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> min_elements = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">num_elements</a>());</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> min_channels = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">num_channels</a>());</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>());</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="comment">// Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx &lt; min_elements; ++element_idx)</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">shape</a>(), element_idx);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test.xhtml#a58ee979a599b3b6a2587964106b1910c">is_in_valid_region</a>(valid_region, <span class="keywordtype">id</span>))</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; check_single_element(<span class="keywordtype">id</span>, tensor, reference, tolerance_value, wrap_range, min_channels, channel_size, num_mismatches, num_elements);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keyword">const</span> int64_t absolute_tolerance_number = tolerance_number * num_elements;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; BOOST_TEST(num_mismatches &lt;= absolute_tolerance_number,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; num_mismatches &lt;&lt; <span class="stringliteral">&quot; values (&quot;</span> &lt;&lt; std::setprecision(2) &lt;&lt; percent_mismatches</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; &lt;&lt; <span class="stringliteral">&quot;%) mismatched (maximum tolerated &quot;</span> &lt;&lt; std::setprecision(2) &lt;&lt; tolerance_number &lt;&lt; <span class="stringliteral">&quot;%)&quot;</span>);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;}</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a"> 229</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &amp;tensor, <span class="keyword">const</span> <span class="keywordtype">void</span> *reference_value)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;{</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; BOOST_TEST_REQUIRE((reference_value != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; int64_t num_mismatches = 0;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; int64_t num_elements = 0;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="comment">// Iterate over all elements, e.g. U8, S16, RGB888, ...</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx &lt; tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); ++element_idx)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t *<span class="keyword">&gt;</span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel &lt; tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>(); ++channel)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(reference_value, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;id = &quot;</span> &lt;&lt; <span class="keywordtype">id</span>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;channel = &quot;</span> &lt;&lt; channel);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;reference = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; ref);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; BOOST_TEST_INFO(<span class="stringliteral">&quot;target = &quot;</span> &lt;&lt; std::setprecision(5) &lt;&lt; target);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keywordflow">if</span>(difference != 0.f)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; ++num_mismatches;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; ++num_elements;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; BOOST_TEST(num_mismatches == 0,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; num_mismatches &lt;&lt; <span class="stringliteral">&quot; values (&quot;</span> &lt;&lt; std::setprecision(2) &lt;&lt; percent_mismatches &lt;&lt; <span class="stringliteral">&quot;%) mismatched&quot;</span>);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;}</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160;</div><div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1"> 273</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &amp;tensor, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &amp;border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value)</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;{</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">BorderMode::UNDEFINED</a>)</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92">BorderMode::CONSTANT</a>)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; BOOST_TEST((border_value != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; int64_t num_mismatches = 0;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; int64_t num_elements = 0;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> slice_size = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0] * tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1];</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx &lt; tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); element_idx += slice_size)</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="comment">// Top border</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>; y &lt; 0; ++y)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordtype">id</span>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(1, y);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x &lt; static_cast&lt;int&gt;(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast&lt;int&gt;(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <span class="comment">// Bottom border</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]; y &lt; static_cast&lt;int&gt;(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]) + static_cast&lt;int&gt;(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>); ++y)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keywordtype">id</span>.set(1, y);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x &lt; static_cast&lt;int&gt;(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast&lt;int&gt;(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="comment">// Left/right border</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y &lt; static_cast&lt;int&gt;(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]); ++y)</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keywordtype">id</span>.set(1, y);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="comment">// Left border</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x &lt; 0; ++x)</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <span class="comment">// Right border</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]; x &lt; static_cast&lt;int&gt;(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast&lt;int&gt;(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; BOOST_TEST(num_mismatches == 0,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; num_mismatches &lt;&lt; <span class="stringliteral">&quot; values (&quot;</span> &lt;&lt; std::setprecision(2) &lt;&lt; percent_mismatches &lt;&lt; <span class="stringliteral">&quot;%) mismatched&quot;</span>);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;}</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334"> 347</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(std::vector&lt;unsigned int&gt; classified_labels, std::vector&lt;unsigned int&gt; expected_labels)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160;{</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; BOOST_TEST(expected_labels.size() != 0);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; BOOST_TEST(classified_labels.size() == expected_labels.size());</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; expected_labels.size(); ++i)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; BOOST_TEST(classified_labels[i] == expected_labels[i]);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160;}</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</a></div></div>
<div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a3fdd42ea34070a54e696b3adc28c4be3"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">arm_compute::BorderSize::top</a></div><div class="ttdeci">unsigned int top</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00195">Types.h:195</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_abd107d6e8ccfc38f781be8683d8141c2"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">arm_compute::test::RawTensor::num_channels</a></div><div class="ttdeci">int num_channels() const </div><div class="ttdoc">Number of channels of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00124">RawTensor.cpp:124</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00047">RawTensor.h:47</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a448f57f9d6aec61b3d85b898affe4a2e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">arm_compute::test::RawTensor::element_size</a></div><div class="ttdeci">size_t element_size() const </div><div class="ttdoc">Size of each element in the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00091">RawTensor.cpp:91</a></div></div>
<div class="ttc" id="arm__compute_2runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="arm__compute_2runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00119">Types.h:119</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a57360dd9ca408834c0ea1a8ef70a11f4"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">arm_compute::test::IAccessor::format</a></div><div class="ttdeci">virtual Format format() const =0</div><div class="ttdoc">Image format of the tensor. </div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00131">Types.h:131</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">Unknown image format. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a58ee979a599b3b6a2587964106b1910c"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a58ee979a599b3b6a2587964106b1910c">arm_compute::test::is_in_valid_region</a></div><div class="ttdeci">bool is_in_valid_region(const ValidRegion &amp;valid_region, const Coordinates &amp;coord)</div><div class="ttdoc">Check if a coordinate is within a valid region. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00658">Utils.h:658</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a34b06c0cd94808a77b697e79880b84b0"><div class="ttname"><a href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">arm_compute::element_size_from_data_type</a></div><div class="ttdeci">size_t element_size_from_data_type(DataType dt)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00172">Utils.h:172</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a802ffcf1b49237efe5be8a314d3f3869"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">arm_compute::BorderSize::bottom</a></div><div class="ttdeci">unsigned int bottom</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00197">Types.h:197</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a13761831550669f43f4edee978181c46"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">arm_compute::test::RawTensor::shape</a></div><div class="ttdeci">TensorShape shape() const </div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00086">RawTensor.cpp:86</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00074">Dimensions.h:74</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a1c5e120ea2712b21296aa8f62421d3c1"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">arm_compute::test::IAccessor::shape</a></div><div class="ttdeci">virtual TensorShape shape() const =0</div><div class="ttdoc">Shape of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a0c875a3203d902e2ad6bc3045355e69e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a0c875a3203d902e2ad6bc3045355e69e">arm_compute::test::RawTensor::format</a></div><div class="ttdeci">Format format() const </div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00107">RawTensor.cpp:107</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::DataType::S64</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::DataType::SIZET</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
<div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
<div class="ttc" id="arm__compute_2core_2_fixed_point_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa5930677af602cee147919968acaca59"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa5930677af602cee147919968acaca59">arm_compute::test::validation::compare_dimensions</a></div><div class="ttdeci">boost::test_tools::predicate_result compare_dimensions(const Dimensions&lt; T &gt; &amp;dimensions1, const Dimensions&lt; T &gt; &amp;dimensions2)</div><div class="ttdef"><b>Definition:</b> <a href="_validation_8h_source.xhtml#l00045">Validation.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a670cba074b4be0bf9af03e48250bd616"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a670cba074b4be0bf9af03e48250bd616">arm_compute::test::shape_to_valid_region</a></div><div class="ttdeci">ValidRegion shape_to_valid_region(TensorShape shape)</div><div class="ttdoc">Create a valid region covering the enitre tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00452">Utils.h:452</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a7596bc2928432a0ac2271bc9184d692e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">arm_compute::test::IAccessor::num_elements</a></div><div class="ttdeci">virtual int num_elements() const =0</div><div class="ttdoc">Number of elements of the tensor. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &amp;shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00611">Utils.h:611</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a05374b750b0fc472c34ee61e6f028bba"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">arm_compute::BorderSize::left</a></div><div class="ttdeci">unsigned int left</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00198">Types.h:198</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a78b0fed184c642b78f32fd34b228a5f9"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">arm_compute::BorderSize::right</a></div><div class="ttdeci">unsigned int right</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00196">Types.h:196</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a4c3f681c30c9398c45bc3cd5dc4f038a"><div class="ttname"><a href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">arm_compute::qint8_t</a></div><div class="ttdeci">int8_t qint8_t</div><div class="ttdoc">8 bit fixed point scalar value </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_fixed_point_8h_source.xhtml#l00029">FixedPoint.h:29</a></div></div>
<div class="ttc" id="_coordinates_8h_xhtml"><div class="ttname"><a href="_coordinates_8h.xhtml">Coordinates.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00109">Dimensions.h:109</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::test::IAccessor::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type of the tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::BorderMode::UNDEFINED</a></div><div class="ttdoc">Borders are left undefined. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">arm_compute::BorderMode::REPLICATE</a></div><div class="ttdoc">Pixels outside the image are assumed to have the same value as the closest image pixel. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml">arm_compute::test::IAccessor</a></div><div class="ttdoc">Common interface to provide information and access to tensor like structures. </div><div class="ttdef"><b>Definition:</b> <a href="_i_accessor_8h_source.xhtml#l00037">IAccessor.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7730e17dc901bdffefcf45b08bab135f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">arm_compute::test::validation::validate</a></div><div class="ttdeci">void validate(const arm_compute::ValidRegion &amp;region, const arm_compute::ValidRegion &amp;reference)</div><div class="ttdoc">Validate valid regions. </div><div class="ttdef"><b>Definition:</b> <a href="_validation_8cpp_source.xhtml#l00166">Validation.cpp:166</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_aa459796b5489eca8a9160cb5dcf1a103"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103">arm_compute::test::IAccessor::element_size</a></div><div class="ttdeci">virtual size_t element_size() const =0</div><div class="ttdoc">Size of each element in the tensor in bytes. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92">arm_compute::BorderMode::CONSTANT</a></div><div class="ttdoc">Pixels outside the image are assumed to have a constant value. </div></div>
<div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::DataType::F64</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point&lt; T &gt; abs(fixed_point&lt; T &gt; x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00905">FixedPoint.h:905</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00088">Types.h:88</a></div></div>
<div class="ttc" id="_raw_tensor_8h_xhtml"><div class="ttname"><a href="_raw_tensor_8h.xhtml">RawTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_ac492280ef2d7889f1226d34743b74459"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">arm_compute::test::IAccessor::num_channels</a></div><div class="ttdeci">virtual int num_channels() const =0</div><div class="ttdoc">Number of channels of the tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::DataType::U64</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00060">Types.h:60</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_ab5fe769d05a0f7dfee63972bdbd54261"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">arm_compute::test::RawTensor::num_elements</a></div><div class="ttdeci">int num_elements() const </div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00143">RawTensor.cpp:143</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::DataType::S8</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00118">Types.h:118</a></div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a45cc7b9a37aa9f0e7d479248a27e1f58"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">arm_compute::test::RawTensor::data_type</a></div><div class="ttdeci">DataType data_type() const </div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00112">RawTensor.cpp:112</a></div></div>
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