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<div class="title">AccumulateSquared.cpp</div> </div>
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<a href="_accumulate_squared_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="_globals_8h.xhtml">Globals.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_o_n_2_helper_8h.xhtml">NEON/Helper.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_accessor_8h.xhtml">NEON/NEAccessor.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="_tensor_library_8h.xhtml">TensorLibrary.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;<span class="preprocessor">#include &quot;<a class="code" href="validation_2_datasets_8h.xhtml">validation/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_reference_8h.xhtml">validation/Reference.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="_validation_8h.xhtml">validation/Validation.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.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_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_accumulate_8h.xhtml">arm_compute/runtime/NEON/functions/NEAccumulate.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</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="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_allocator_8h.xhtml">arm_compute/runtime/TensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="boost__wrapper_8h.xhtml">boost_wrapper.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></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">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test_1_1neon.xhtml">arm_compute::test::neon</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;{</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> compute_accumulate_squared(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape, uint32_t shift)</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="comment">// Create tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> src = <a class="code" href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">create_tensor</a>(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> dst = <a class="code" href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">create_tensor</a>(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_accumulate_squared.xhtml">NEAccumulateSquared</a> acc;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; acc.<a class="code" href="classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08">configure</a>(&amp;src, shift, &amp;dst);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; src.<a class="code" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; dst.<a class="code" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; BOOST_TEST(!src.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; BOOST_TEST(!dst.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="comment">// dst tensor filled with non-negative values</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>-&gt;fill_tensor_uniform(<a class="code" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">NEAccessor</a>(src), 0);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">library</a>-&gt;fill_tensor_uniform(<a class="code" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">NEAccessor</a>(dst), 1, static_cast&lt;int16_t&gt;(0), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits&lt;int16_t&gt;::max</a>());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">// Compute function</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; acc.<a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>();</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordflow">return</span> dst;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;}</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SKIP_THIS</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;BOOST_AUTO_TEST_SUITE(NEON)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;BOOST_AUTO_TEST_SUITE(AccumulateSquared)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;BOOST_TEST_DECORATOR(*<a class="code" href="namespaceboost.xhtml">boost</a>::unit_test::label(&quot;precommit&quot;) * <a class="code" href="namespaceboost.xhtml">boost</a>::unit_test::label(&quot;nightly&quot;))</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;BOOST_DATA_TEST_CASE(Configuration, (<a class="code" href="classarm__compute_1_1test_1_1_small_shapes.xhtml">SmallShapes</a>() + <a class="code" href="classarm__compute_1_1test_1_1_large_shapes.xhtml">LargeShapes</a>()) * <a class="code" href="namespaceboost.xhtml">boost</a>::unit_test::data::xrange(0U, 16U),</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; shape, shift)</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="comment">// Create tensors</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> src = <a class="code" href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">create_tensor</a>(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> dst = <a class="code" href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">create_tensor</a>(shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</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; BOOST_TEST(src.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; BOOST_TEST(dst.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>());</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="comment">// Create and configure function</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_accumulate_squared.xhtml">NEAccumulateSquared</a> acc;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; acc.<a class="code" href="classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08">configure</a>(&amp;src, shift, &amp;dst);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="comment">// Validate valid region</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region = <a class="code" href="namespacearm__compute_1_1test.xhtml#a670cba074b4be0bf9af03e48250bd616">shape_to_valid_region</a>(shape);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(src.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>(), valid_region);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(dst.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>(), valid_region);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">// Validate padding</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> padding(0, <a class="code" href="namespacearm__compute_1_1test.xhtml#a356470553f2afd5673a41cf4da48e33b">required_padding</a>(shape.x(), 16), 0, 0);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(src.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>(), padding);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(dst.<a class="code" href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>(), padding);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;BOOST_TEST_DECORATOR(*boost::unit_test::label(<span class="stringliteral">&quot;precommit&quot;</span>))</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;BOOST_DATA_TEST_CASE(RunSmall, <a class="code" href="classarm__compute_1_1test_1_1_small_shapes.xhtml">SmallShapes</a>() * <a class="code" href="namespaceboost.xhtml">boost</a>::unit_test::data::xrange(0U, 16U),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; shape, shift)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;{</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="comment">// Compute function</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> dst = compute_accumulate_squared(shape, shift);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="comment">// Compute reference</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = Reference::compute_reference_accumulate_squared(shape, shift);</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; <span class="comment">// Validate output</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">NEAccessor</a>(dst), ref_dst);</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;BOOST_TEST_DECORATOR(*boost::unit_test::label(<span class="stringliteral">&quot;nightly&quot;</span>))</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;BOOST_DATA_TEST_CASE(RunLarge, <a class="code" href="classarm__compute_1_1test_1_1_large_shapes.xhtml">LargeShapes</a>() * <a class="code" href="namespaceboost.xhtml">boost</a>::unit_test::data::make({ 0U, 1U, 15U }),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; shape, shift)</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="comment">// Compute function</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> dst = compute_accumulate_squared(shape, shift);</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">// Compute reference</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> ref_dst = Reference::compute_reference_accumulate_squared(shape, shift);</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="comment">// Validate output</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">NEAccessor</a>(dst), ref_dst);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;}</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;BOOST_AUTO_TEST_SUITE_END()</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;BOOST_AUTO_TEST_SUITE_END()</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1neon_xhtml_a8a2ccb1bb0c0cce458228827f0d9ea9c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1neon.xhtml#a8a2ccb1bb0c0cce458228827f0d9ea9c">arm_compute::test::neon::create_tensor</a></div><div class="ttdeci">Tensor create_tensor(const TensorShape &amp;shape, DataType data_type, int num_channels=1, int fixed_point_position=0)</div><div class="ttdoc">Helper to create an empty tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_helper_8h_source.xhtml#l00047">Helper.h:47</a></div></div>
<div class="ttc" id="_reference_8h_xhtml"><div class="ttname"><a href="_reference_8h.xhtml">Reference.h</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_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</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_1_1test_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_8h_source.xhtml#l00039">GEMM.h:39</a></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_1_1test_xhtml_a356470553f2afd5673a41cf4da48e33b"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a356470553f2afd5673a41cf4da48e33b">arm_compute::test::required_padding</a></div><div class="ttdeci">int required_padding(int size, int step)</div><div class="ttdoc">Calculate the required padding given the available size and the required. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00486">Utils.h:486</a></div></div>
<div class="ttc" id="_tensor_library_8h_xhtml"><div class="ttname"><a href="_tensor_library_8h.xhtml">TensorLibrary.h</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="_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_tensor_allocator_8h.xhtml">TensorAllocator.h</a></div></div>
<div class="ttc" id="_n_e_accessor_8h_xhtml"><div class="ttname"><a href="_n_e_accessor_8h.xhtml">NEAccessor.h</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="classarm__compute_1_1_i_tensor_info_xhtml_a74dfd07380a290c34fe7c8e065029b95"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">arm_compute::ITensorInfo::valid_region</a></div><div class="ttdeci">virtual ValidRegion valid_region() const =0</div><div class="ttdoc">Valid region of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml_a531ec877bfc923dea3ab6f1be5e6e1ac"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">arm_compute::Tensor::allocator</a></div><div class="ttdeci">TensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor&amp;#39;s allocator. </div></div>
<div class="ttc" id="_n_e_accumulate_8h_xhtml"><div class="ttname"><a href="_n_e_accumulate_8h.xhtml">NEAccumulate.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_af555338f11d1d28f258f259ac3da743b"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">arm_compute::ITensorInfo::is_resizable</a></div><div class="ttdeci">virtual bool is_resizable() const =0</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div></div>
<div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_small_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_small_shapes.xhtml">arm_compute::test::SmallShapes</a></div><div class="ttdoc">Data set containing small tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00106">ShapeDatasets.h:106</a></div></div>
<div class="ttc" id="validation_2_datasets_8h_xhtml"><div class="ttname"><a href="validation_2_datasets_8h.xhtml">Datasets.h</a></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="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_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::TensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of CPU memory. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_accumulate_squared_xhtml_a0b9649281a450bbb458d5d5ccde89d08"><div class="ttname"><a href="classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08">arm_compute::NEAccumulateSquared::configure</a></div><div class="ttdeci">void configure(const ITensor *input, uint32_t shift, ITensor *output)</div><div class="ttdoc">Set the input and accumulation tensors and the shift value. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1neon_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1neon.xhtml">arm_compute::test::neon</a></div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_helper_8h_source.xhtml#l00036">Helper.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a07b929c34ad1dc823d8315876aa403ce"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">arm_compute::ITensorInfo::padding</a></div><div class="ttdeci">virtual PaddingSize padding() const =0</div><div class="ttdoc">Padding of tensor. </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="classarm__compute_1_1test_1_1_large_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_large_shapes.xhtml">arm_compute::test::LargeShapes</a></div><div class="ttdoc">Data set containing large tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00118">ShapeDatasets.h:118</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a4ced6442a379a75e8a6c4be093fb666b"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a4ced6442a379a75e8a6c4be093fb666b">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr&lt; TensorLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2main_8cpp_source.xhtml#l00050">main.cpp:50</a></div></div>
<div class="ttc" id="boost__wrapper_8h_xhtml"><div class="ttname"><a href="boost__wrapper_8h.xhtml">boost_wrapper.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_n_e_simple_function_xhtml_ab5fd6e96c07aaaed2747c7e16ed5951e"><div class="ttname"><a href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">arm_compute::INESimpleFunction::run</a></div><div class="ttdeci">void run() overridefinal</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1neon_1_1_n_e_accessor.xhtml">arm_compute::test::neon::NEAccessor</a></div><div class="ttdoc">Accessor implementation for Tensor objects. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_accessor_8h_source.xhtml#l00038">NEAccessor.h:38</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="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
<div class="ttc" id="namespaceboost_xhtml"><div class="ttname"><a href="namespaceboost.xhtml">boost</a></div><div class="ttdef"><b>Definition:</b> <a href="validation_2_datasets_8h_source.xhtml#l00047">Datasets.h:47</a></div></div>
<div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div>
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<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(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#l00880">FixedPoint.h:880</a></div></div>
<div class="ttc" id="_n_e_o_n_2_helper_8h_xhtml"><div class="ttname"><a href="_n_e_o_n_2_helper_8h.xhtml">Helper.h</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="namespacearm__compute_1_1test_1_1validation_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_l_fixture_8h_source.xhtml#l00033">CLFixture.h:33</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml_aa68535e0983cc60a425253a72b162661"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml#aa68535e0983cc60a425253a72b162661">arm_compute::Tensor::info</a></div><div class="ttdeci">ITensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
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