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<div class="title">NEArithmeticAdditionKernel.cpp</div> </div>
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<a href="_n_e_arithmetic_addition_kernel_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) 2016-2019 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="_n_e_arithmetic_addition_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.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="_c_p_p_2_validate_8h.xhtml">arm_compute/core/CPP/Validate.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="_error_8h.xhtml">arm_compute/core/Error.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="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_access_window_8h.xhtml">arm_compute/core/IAccessWindow.h</a>&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="_i_tensor_8h.xhtml">arm_compute/core/ITensor.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="_n_e_fixed_point_8h.xhtml">arm_compute/core/NEON/NEFixedPoint.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="wrapper_8h.xhtml">arm_compute/core/NEON/wrapper/wrapper.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="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.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="_validate_8h.xhtml">arm_compute/core/Validate.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &lt;arm_neon.h&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &lt;map&gt;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &lt;string&gt;</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="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;} <span class="comment">// namespace arm_compute</span></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="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">bool</span> is_sat&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keywordtype">void</span> add_same(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keyword">using</span> ExactTagType = <span class="keyword">typename</span> <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">wrapper::traits::neon_bitvector_tag_t&lt;T, wrapper::traits::BitWidth::W128&gt;</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="comment">// Create input windows</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input1_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input2_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = window;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; constexpr <span class="keywordtype">int</span> window_step_x = 16 / <span class="keyword">sizeof</span>(T);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_across_x = (input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0) || (input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0);</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; <span class="keywordflow">if</span>(is_broadcast_across_x)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_input_2 = input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *broadcast_tensor = is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1;</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">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; non_broadcast_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</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; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> broadcast_input(broadcast_tensor, broadcast_win);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> non_broadcast_input(non_broadcast_tensor, non_broadcast_win);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</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; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_input_ptr = reinterpret_cast&lt;const T *&gt;(non_broadcast_input.ptr());</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;T *&gt;(output.ptr());</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> T broadcast_value = *reinterpret_cast&lt;const T *&gt;(broadcast_input.ptr());</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> broadcast_value_vec = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(broadcast_value, ExactTagType{});</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">// Compute S elements per iteration</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</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="keyword">auto</span> non_broadcast_v = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(non_broadcast_input_ptr + x);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> res = is_sat ? <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952">wrapper::vqadd</a>(broadcast_value_vec, non_broadcast_v) : wrapper::<a class="code" href="namespacearm__compute.xhtml#abe949a509da417044624d62a73057441">vadd</a>(broadcast_value_vec, non_broadcast_v);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, res);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</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; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_v = *(non_broadcast_input_ptr + x);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; *(output_ptr + x) = is_sat ? <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79">wrapper::add_sat</a>(broadcast_value, non_broadcast_v) : broadcast_value + non_broadcast_v;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; }</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; broadcast_input, non_broadcast_input, output);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input1(in1, input1_win);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input2(in2, input2_win);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</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; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</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; <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast&lt;const T *&gt;(input1.ptr());</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast&lt;const T *&gt;(input2.ptr());</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;T *&gt;(output.ptr());</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> val1 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> val2 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input2_ptr + x);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> res = is_sat ? <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952">wrapper::vqadd</a>(val1, val2) : wrapper::<a class="code" href="namespacearm__compute.xhtml#abe949a509da417044624d62a73057441">vadd</a>(val1, val2);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, res);</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;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> val1 = *(input1_ptr + x);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> val2 = *(input2_ptr + x);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; *(output_ptr + x) = is_sat ? <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79">wrapper::add_sat</a>(val1, val2) : val1 + val2;</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; },</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; input1, input2, output);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="keywordtype">void</span> add_QASYMM8_QASYMM8_QASYMM8(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;{</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="comment">// Create input windows</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input1_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input2_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = window;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</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; <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 16;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_across_x = (input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0) || (input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0);</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; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> iq1_info = in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> iq2_info = in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> oq_info = out-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keyword">const</span> float32x4_t vscale1 = vdupq_n_f32(iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keyword">const</span> float32x4_t vscale2 = vdupq_n_f32(iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keyword">const</span> float32x4_t invvscaleo = vdupq_n_f32(1.f / oq_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keyword">const</span> int32x4_t voffset1 = vdupq_n_s32(iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keyword">const</span> int32x4_t voffset2 = vdupq_n_s32(iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keyword">const</span> float32x4_t voffseto = vdupq_n_f32(oq_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">if</span>(is_broadcast_across_x)</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; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_input_2 = input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *broadcast_tensor = is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> broadcast_qinfo = broadcast_tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> non_broadcast_qinfo = non_broadcast_tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</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; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; non_broadcast_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</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; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> broadcast_input(broadcast_tensor, broadcast_win);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> non_broadcast_input(non_broadcast_tensor, non_broadcast_win);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</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"> 196</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</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; <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_input_ptr = reinterpret_cast&lt;const uint8_t *&gt;(non_broadcast_input.ptr());</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;uint8_t *&gt;(output.ptr());</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; <span class="keyword">const</span> uint8_t broadcast_value = *reinterpret_cast&lt;const uint8_t *&gt;(broadcast_input.ptr());</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keyword">const</span> uint8x16_t broadcast_value_vec = vdupq_n_u8(broadcast_value);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keyword">const</span> float32x4x4_t bf =</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; {</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; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(broadcast_value_vec))))), voffset2)), vscale2),</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(broadcast_value_vec))))), voffset2)), vscale2),</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(broadcast_value_vec))))), voffset2)), vscale2),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(broadcast_value_vec))))), voffset2)), vscale2),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; };</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = static_cast&lt;int32_t&gt;(broadcast_value - broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>) * broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</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; <span class="keyword">const</span> uint8x16_t a = vld1q_u8(non_broadcast_input_ptr + x);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="keyword">const</span> float32x4x4_t af =</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(a))))), voffset1)), vscale1),</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"> 229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keyword">const</span> int32x4x4_t rf =</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; {</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;<span class="preprocessor">#ifdef __aarch64__</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[2], bf.val[2]), invvscaleo)),</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[3], bf.val[3]), invvscaleo)),</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="preprocessor">#else //__aarch64__</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[2], bf.val[2]), invvscaleo)),</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[3], bf.val[3]), invvscaleo)),</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="preprocessor">#endif //__aarch64__</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; };</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> uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1])));</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keyword">const</span> uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[2]), vqmovn_s32(rf.val[3])));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; vst1q_u8(output_ptr + x, vcombine_u8(pa, pb));</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</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; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; {</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> afs = static_cast&lt;int32_t&gt;(*(non_broadcast_input_ptr + x) - non_broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>) * non_broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>((afs + <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>), oq_info);</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; },</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; broadcast_input, non_broadcast_input, output);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">else</span></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; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</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; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input1(in1, input1_win);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input2(in2, input2_win);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</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"> 273</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast&lt;const uint8_t *&gt;(input1.ptr());</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast&lt;const uint8_t *&gt;(input2.ptr());</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;uint8_t *&gt;(output.ptr());</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="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</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; <span class="keyword">const</span> uint8x16_t a = vld1q_u8(input1_ptr + x);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keyword">const</span> uint8x16_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = vld1q_u8(input2_ptr + x);</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; <span class="keyword">const</span> float32x4x4_t af =</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(a))))), voffset1)), vscale1),</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(a))))), voffset1)), vscale1),</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; };</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keyword">const</span> float32x4x4_t bf =</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</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; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))))), voffset2)), vscale2),</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))))), voffset2)), vscale2),</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))))), voffset2)), vscale2),</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))))), voffset2)), vscale2),</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; }</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; <span class="keyword">const</span> int32x4x4_t rf =</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; {</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; {</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;<span class="preprocessor">#ifdef __aarch64__</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[2], bf.val[2]), invvscaleo)),</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; vcvtnq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[3], bf.val[3]), invvscaleo)),</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;<span class="preprocessor">#else //__aarch64__</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[2], bf.val[2]), invvscaleo)),</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; vcvtq_s32_f32(vmlaq_f32(voffseto, vaddq_f32(af.val[3], bf.val[3]), invvscaleo)),</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;<span class="preprocessor">#endif //__aarch64__</span></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; };</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="keyword">const</span> uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1])));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <span class="keyword">const</span> uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[2]), vqmovn_s32(rf.val[3])));</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; vst1q_u8(output_ptr + x, vcombine_u8(pa, pb));</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; }</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="comment">// Compute left-over elements</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> afs = static_cast&lt;int32_t&gt;((*(input1_ptr + x)) - iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>) * iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = static_cast&lt;int32_t&gt;((*(input2_ptr + x)) - iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">offset</a>) * iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>((afs + <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>), out-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>());</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; }</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; input1, input2, output);</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;}</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;<span class="keywordtype">void</span> add_QSYMM16_QSYMM16_QSYMM16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</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; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="comment">// Create input windows</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input1_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input2_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</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; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = window;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 8;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_across_x = (input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0) || (input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> iq1_info = in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> iq2_info = in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> oq_info = out-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keyword">const</span> float32x4_t vscale1 = vdupq_n_f32(iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="keyword">const</span> float32x4_t vscale2 = vdupq_n_f32(iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="keyword">const</span> float32x4_t invvscaleo = vdupq_n_f32(1.f / oq_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keywordflow">if</span>(is_broadcast_across_x)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast_input_2 = input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() == 0;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *broadcast_tensor = is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> broadcast_qinfo = broadcast_tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> non_broadcast_qinfo = non_broadcast_tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>().<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; non_broadcast_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> broadcast_input(broadcast_tensor, broadcast_win);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> non_broadcast_input(non_broadcast_tensor, non_broadcast_win);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> non_broadcast_input_ptr = reinterpret_cast&lt;const int16_t *&gt;(non_broadcast_input.ptr());</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;int16_t *&gt;(output.ptr());</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="keyword">const</span> int16_t broadcast_value = *reinterpret_cast&lt;const int16_t *&gt;(broadcast_input.ptr());</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="keyword">const</span> int16x8_t broadcast_value_vec = vdupq_n_s16(broadcast_value);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <span class="keyword">const</span> float32x4x2_t bf =</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(broadcast_value_vec))), vscale2),</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(broadcast_value_vec))), vscale2),</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; }</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; };</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = static_cast&lt;int32_t&gt;(broadcast_value) * broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; {</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <span class="keyword">const</span> int16x8_t a = vld1q_s16(non_broadcast_input_ptr + x);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; <span class="keyword">const</span> float32x4x2_t af =</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1),</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1),</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; }</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; };</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <span class="keyword">const</span> int32x4x4_t rf =</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;<span class="preprocessor">#ifdef __aarch64__</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; vcvtnq_s32_f32(vmulq_f32(vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; vcvtnq_s32_f32(vmulq_f32(vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;<span class="preprocessor">#else //__aarch64__</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; vcvtq_s32_f32(vmulq_f32(vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; vcvtq_s32_f32(vmulq_f32(vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;<span class="preprocessor">#endif //__aarch64__</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; }</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; };</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <span class="keyword">const</span> int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]));</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; vst1q_s16(output_ptr + x, pa);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> afs = static_cast&lt;int32_t&gt;(*(non_broadcast_input_ptr + x)) * non_broadcast_qinfo.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">quantize_qsymm16</a>((afs + <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>), oq_info);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; },</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; broadcast_input, non_broadcast_input, output);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input1(in1, input1_win);</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input2(in2, input2_win);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; {</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast&lt;const int16_t *&gt;(input1.ptr());</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast&lt;const int16_t *&gt;(input2.ptr());</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;int16_t *&gt;(output.ptr());</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="keyword">const</span> int16x8_t a = vld1q_s16(input1_ptr + x);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; <span class="keyword">const</span> int16x8_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = vld1q_s16(input2_ptr + x);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <span class="keyword">const</span> float32x4x2_t af =</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; {</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1),</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1),</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; };</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160;</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <span class="keyword">const</span> float32x4x2_t bf =</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))), vscale2),</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>))), vscale2),</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; }</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; };</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; <span class="keyword">const</span> int32x4x2_t rf =</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; {</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;<span class="preprocessor">#ifdef __aarch64__</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; vcvtnq_s32_f32(vmulq_f32(vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; vcvtnq_s32_f32(vmulq_f32(vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160;<span class="preprocessor">#else //__aarch64__</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; vcvtq_s32_f32(vmulq_f32(vaddq_f32(af.val[0], bf.val[0]), invvscaleo)),</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; vcvtq_s32_f32(vmulq_f32(vaddq_f32(af.val[1], bf.val[1]), invvscaleo)),</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;<span class="preprocessor">#endif //__aarch64__</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; };</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; <span class="keyword">const</span> int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]));</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; vst1q_s16(output_ptr + x, pa);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; }</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; {</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> afs = static_cast&lt;int32_t&gt;((*(input1_ptr + x))) * iq1_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a> = static_cast&lt;int32_t&gt;((*(input2_ptr + x))) * iq2_info.<a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">quantize_qsymm16</a>((afs + <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">bfs</a>), out-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>());</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; },</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; input1, input2, output);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160;}</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;<span class="keywordtype">void</span> add_S16_U8_S16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160;{</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; <span class="comment">// Create input windows</span></div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = window;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input1_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input2_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input1(in1, input1_win);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input2(in2, input2_win);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 8;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast&lt;const int16_t *&gt;(input1.ptr());</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast&lt;const uint8_t *&gt;(input2.ptr());</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;int16_t *&gt;(output.ptr());</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a> == <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0">ConvertPolicy::WRAP</a>)</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin1 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin2 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input2_ptr + x)));</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vin1, vin2));</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; *(output_ptr + x) = *(input1_ptr + x) + static_cast&lt;int16_t&gt;(*(input2_ptr + x));</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; }</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; {</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin1 = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">wrapper::vloadq</a>(input1_ptr + x);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin2 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input2_ptr + x)));</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952">wrapper::vqadd</a>(vin1, vin2));</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; }</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; {</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79">wrapper::add_sat</a>(*(input1_ptr + x), static_cast&lt;int16_t&gt;(*(input2_ptr + x)));</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; },</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; input1, input2, output);</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;}</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> add_U8_S16_S16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160;{</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; <span class="comment">// Simply swap the two input buffers:</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; add_S16_U8_S16(input2, input1, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, window);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160;}</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160;<span class="keywordtype">void</span> add_U8_U8_S16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *in2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *out, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160;{</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <span class="comment">// Create input windows</span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = window;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input1_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input2_win = window.<a class="code" href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">broadcast_if_dimension_le_one</a>(in2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; <span class="comment">// Clear X Dimension on execution window as we handle manually</span></div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; input1_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; input2_win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input1(in1, input1_win);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input2(in2, input2_win);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output(out, win);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160;</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> window_step_x = 8;</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_start_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>());</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> window_end_x = static_cast&lt;int&gt;(window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>());</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(win, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;)</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input1_ptr = reinterpret_cast&lt;const uint8_t *&gt;(input1.ptr());</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> input2_ptr = reinterpret_cast&lt;const uint8_t *&gt;(input2.ptr());</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> output_ptr = reinterpret_cast&lt;int16_t *&gt;(output.ptr());</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a> == <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0">ConvertPolicy::WRAP</a>)</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; {</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; {</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin1 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input1_ptr + x)));</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin2 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input2_ptr + x)));</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">wrapper::vadd</a>(vin1, vin2));</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; }</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; *(output_ptr + x) = static_cast&lt;int16_t&gt;(*(input1_ptr + x)) + static_cast&lt;int16_t&gt;(*(input2_ptr + x));</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; }</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; }</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; {</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; <span class="comment">// Compute S elements per iteration</span></div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; <span class="keywordtype">int</span> x = window_start_x;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; <span class="keywordflow">for</span>(; x &lt;= (window_end_x - window_step_x); x += window_step_x)</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; {</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin1 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input1_ptr + x)));</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> vin2 = vreinterpretq_s16_u16(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(input2_ptr + x)));</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">wrapper::vstore</a>(output_ptr + x, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952">wrapper::vqadd</a>(vin1, vin2));</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; <span class="comment">// Compute left-over elements</span></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="keywordflow">for</span>(; x &lt; window_end_x; ++x)</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; {</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; *(output_ptr + x) = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79">wrapper::add_sat</a>(static_cast&lt;int16_t&gt;(*(input1_ptr + x)),</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; static_cast&lt;int16_t&gt;(*(input2_ptr + x)));</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; }</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; },</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; input1, input2, output);</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160;}</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160;</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160;<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_arguments(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;input2, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160;{</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160;</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; <a class="code" href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a>(&amp;input1);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&amp;input1, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; <a class="code" href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&amp;input2, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <span 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compatible&quot;</span>);</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>((input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">x</a>() != input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">x</a>()) &amp;&amp; ((input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() != input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()) || (input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() != output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>())</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; || (input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() != output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>())),</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; <span class="stringliteral">&quot;Broadcasting across width is supported on configurations where all tensors have the same data type&quot;</span>);</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; <span class="comment">// Validate in case of configured output</span></div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; <span class="keywordflow">if</span>(output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() &gt; 0)</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; {</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>)</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>)</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>)</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>)</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>)</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; &amp;&amp; !(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a> &amp;&amp; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>),</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; <span class="stringliteral">&quot;You called addition with the wrong image formats&quot;</span>);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160;</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">detail::have_different_dimensions</a>(out_shape, output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>(), 0),</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; <span class="stringliteral">&quot;Wrong shape for output&quot;</span>);</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; }</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160;}</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160;</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160;std::pair&lt;Status, Window&gt; <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;input1, <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;input2, <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;output)</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;{</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; <span class="keyword">const</span> std::pair&lt;TensorShape, ValidRegion&gt; broadcast_pair = <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">ITensorInfo::broadcast_shape_and_valid_region</a>(input1, input2);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;out_shape = broadcast_pair.first;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = broadcast_pair.second;</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; <span class="comment">// Auto initialize output if not initialized</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">set_shape_if_empty</a>(output, out_shape);</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160;</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <span class="keywordflow">if</span>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a> || input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>)</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; {</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">set_format_if_unknown</a>(output, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">Format::S16</a>);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; }</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> &amp;&amp; input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; {</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">set_format_if_unknown</a>(output, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">Format::F16</a>);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; }</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> || input2.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; {</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">set_format_if_unknown</a>(output, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">Format::F32</a>);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; }</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; {</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">set_data_type_if_unknown</a>(output, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; }</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(input1.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>)</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; {</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">set_data_type_if_unknown</a>(output, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; }</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; }</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>, <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>());</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; <span class="comment">// NEArithmeticAdditionKernel doesn&#39;t need padding so update_window_and_padding() can be skipped</span></div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> coord;</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; coord.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>());</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; output.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">set_valid_region</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; <span class="keywordflow">return</span> std::make_pair(<a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{}, win);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;}</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160;</div><div class="line"><a name="l00718"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35"> 718</a></span>&#160;<a class="code" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35">NEArithmeticAdditionKernel::NEArithmeticAdditionKernel</a>()</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; : _func(nullptr), _input1(nullptr), _input2(nullptr), _output(nullptr), _policy()</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;{</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;}</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;</div><div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27"> 723</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27">NEArithmeticAdditionKernel::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input2, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;{</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(*input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>));</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160;</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160; <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160; <span class="keyword">auto</span> win_config = <a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(*input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), *output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>());</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160;</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160; <span class="keyword">static</span> std::map&lt;std::string, AddFunction *&gt; map_function =</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; {</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160; { <span class="stringliteral">&quot;add_wrap_QASYMM8_QASYMM8_QASYMM8&quot;</span>, &amp;add_QASYMM8_QASYMM8_QASYMM8 },</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; { <span class="stringliteral">&quot;add_saturate_QASYMM8_QASYMM8_QASYMM8&quot;</span>, &amp;add_QASYMM8_QASYMM8_QASYMM8 },</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; { <span class="stringliteral">&quot;add_wrap_QSYMM16_QSYMM16_QSYMM16&quot;</span>, &amp;add_QSYMM16_QSYMM16_QSYMM16 },</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; { <span class="stringliteral">&quot;add_saturate_QSYMM16_QSYMM16_QSYMM16&quot;</span>, &amp;add_QSYMM16_QSYMM16_QSYMM16 },</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; { <span class="stringliteral">&quot;add_wrap_U8_U8_U8&quot;</span>, &amp;add_same&lt;uint8_t, false&gt; },</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; { <span class="stringliteral">&quot;add_saturate_U8_U8_U8&quot;</span>, &amp;add_same&lt;uint8_t, true&gt; },</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; { <span class="stringliteral">&quot;add_wrap_S16_U8_S16&quot;</span>, &amp;add_S16_U8_S16 },</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; { <span class="stringliteral">&quot;add_saturate_S16_U8_S16&quot;</span>, &amp;add_S16_U8_S16 },</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; { <span class="stringliteral">&quot;add_wrap_U8_S16_S16&quot;</span>, &amp;add_U8_S16_S16 },</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; { <span class="stringliteral">&quot;add_saturate_U8_S16_S16&quot;</span>, &amp;add_U8_S16_S16 },</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; { <span class="stringliteral">&quot;add_wrap_U8_U8_S16&quot;</span>, &amp;add_U8_U8_S16 },</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; { <span class="stringliteral">&quot;add_saturate_U8_U8_S16&quot;</span>, &amp;add_U8_U8_S16 },</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; { <span class="stringliteral">&quot;add_wrap_S16_S16_S16&quot;</span>, &amp;add_same&lt;int16_t, false&gt; },</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; { <span class="stringliteral">&quot;add_saturate_S16_S16_S16&quot;</span>, &amp;add_same&lt;int16_t, 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name="l00761"></a><span class="lineno"> 761</span>&#160; std::string function_to_call(<span class="stringliteral">&quot;add_&quot;</span>);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; function_to_call += <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a> == <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0">ConvertPolicy::WRAP</a> ? <span class="stringliteral">&quot;wrap_&quot;</span> : <span class="stringliteral">&quot;saturate_&quot;</span>;</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(input1-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()) + <span class="stringliteral">&quot;_&quot;</span>;</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(input2-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()) + <span class="stringliteral">&quot;_&quot;</span>;</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; function_to_call += <a class="code" href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">string_from_data_type</a>(output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; <span class="keyword">auto</span> it = map_function.find(function_to_call);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160;</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; <span class="keywordflow">if</span>(it != map_function.end())</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; {</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; _func = it-&gt;second;</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; }</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160;</div><div class="line"><a name="l00774"></a><span 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href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <a class="code" href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">ConvertPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>)</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160;{</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; <a class="code" href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a>(input1, input2, output);</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160;</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(*input1, *input2, *output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>));</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">validate_and_configure_window</a>(*input1-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>(), *input2-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>(), *output-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>()).first);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160;</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160;}</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160;</div><div class="line"><a name="l00787"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82"> 787</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEArithmeticAdditionKernel::run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;{</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_func == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160;</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160; (*_func)(_input1, _input2, _output, _policy, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_abd9a9e4bfba3b2e6a35099618122d38e"><div class="ttname"><a href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">arm_compute::quantize_qsymm16</a></div><div class="ttdeci">int16_t quantize_qsymm16(float value, const UniformQuantizationInfo &amp;qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a 16-bit symmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00323">QuantizationInfo.h:323</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#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_addition_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEArithmeticAdditionKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_arithmetic_addition_kernel_8cpp_source.xhtml#l00787">NEArithmeticAdditionKernel.cpp:787</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad986b73e9d5f47a623a9b6d773c25e34"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">arm_compute::test::validation::policy</a></div><div class="ttdeci">policy</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00136">ArithmeticAddition.cpp:136</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</div></div>
<div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_addition_kernel_xhtml_a5e951bf3e414ddcd908245bcf284b08f"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f">arm_compute::NEArithmeticAdditionKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEArithmeticAdditionKern...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_arithmetic_addition_kernel_8cpp_source.xhtml#l00777">NEArithmeticAdditionKernel.cpp:777</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad6630777dc2d315531f1e0b02491051f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad6630777dc2d315531f1e0b02491051f">arm_compute::validate_and_configure_window</a></div><div class="ttdeci">std::pair&lt; Status, Window &gt; validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier, const Size2D &amp;dilation)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_native_kernel_8cpp_source.xhtml#l00221">NEDepthwiseConvolutionLayerNativeKernel.cpp:221</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_a918580dc9188825d67dbb203a43d02fe"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">arm_compute::Window::Dimension::step</a></div><div class="ttdeci">constexpr int step() const</div><div class="ttdoc">Return the step of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00102">Window.h:102</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">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a77f54eded7fef436d3a4f21ad5a00da6"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6">arm_compute::wrapper::vloadq</a></div><div class="ttdeci">uint8x16_t vloadq(const uint8_t *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="load_8h_source.xhtml#l00058">load.h:58</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a1894e825a225f3b2013f594cbffdae73"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73">arm_compute::wrapper::vadd</a></div><div class="ttdeci">uint8x8_t vadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="intrinsics_2add_8h_source.xhtml#l00039">add.h:39</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_ae7eed178dac535c6e727061b1f5bc6eb"><div class="ttname"><a href="_validate_8h.xhtml#ae7eed178dac535c6e727061b1f5bc6eb">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00791">Validate.h:791</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 F32 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a244a32cac2f5011bd0fc49700bf3d5de"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de">arm_compute::TensorShape::broadcast_shape</a></div><div class="ttdeci">static TensorShape broadcast_shape(const Shapes &amp;... shapes)</div><div class="ttdoc">If shapes are broadcast compatible, return the broadcasted shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00210">TensorShape.h:210</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_addition_kernel_xhtml_ae549ed675eab6d763ac6ffd18d226c27"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27">arm_compute::NEArithmeticAdditionKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input1, const ITensor *input2, ITensor *output, ConvertPolicy policy)</div><div class="ttdoc">Initialise the kernel's input, output and border mode.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_arithmetic_addition_kernel_8cpp_source.xhtml#l00723">NEArithmeticAdditionKernel.cpp:723</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
<div class="ttc" id="_n_e_arithmetic_addition_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_arithmetic_addition_kernel_8h.xhtml">NEArithmeticAdditionKernel.h</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div>
<div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml">arm_compute::UniformQuantizationInfo</a></div><div class="ttdoc">Quantization info when assuming per layer quantization.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00039">QuantizationInfo.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div>
<div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml_a1d28dec57cce925ad92342891bd71e7c"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c">arm_compute::UniformQuantizationInfo::scale</a></div><div class="ttdeci">float scale</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00061">QuantizationInfo.h:61</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_addition_kernel_xhtml_ad336181c06f2c2983212849bd9ebcd35"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35">arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel</a></div><div class="ttdeci">NEArithmeticAdditionKernel()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_arithmetic_addition_kernel_8cpp_source.xhtml#l00718">NEArithmeticAdditionKernel.cpp:718</a></div></div>
<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
<div class="ttc" id="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ae056a42fb510e2fa170a74ab06ee31da"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">arm_compute::ITensorInfo::broadcast_shape_and_valid_region</a></div><div class="ttdeci">static std::pair&lt; TensorShape, ValidRegion &gt; broadcast_shape_and_valid_region(const Infos &amp;... infos)</div><div class="ttdoc">If infos are broadcast compatible tensor info's, return the broadcasted shape and the intersection of...</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00247">ITensorInfo.h:247</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad19446be52c2c162fa678b9ae236f445"><div class="ttname"><a href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">arm_compute::set_data_type_if_unknown</a></div><div class="ttdeci">bool set_data_type_if_unknown(ITensorInfo &amp;info, DataType data_type)</div><div class="ttdoc">Set the data type and number of channels to the specified value if the current data type is unknown.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00256">Helpers.inl:256</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9586081a29fceb532ab270bd843abee6"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(const ValidRegion &amp;valid_region)=0</div><div class="ttdoc">Set the valid region of the tensor.</div></div>
<div class="ttc" id="_c_p_p_2_validate_8h_xhtml_ad2633f3560322e1f8d926949dec1b730"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml#ad2633f3560322e1f8d926949dec1b730">ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_validate_8h_source.xhtml#l00071">Validate.h:71</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 F16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_1_1traits_xhtml_acf6b3be295be8dbd7897536bcd7561a3"><div class="ttname"><a href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">arm_compute::wrapper::traits::neon_bitvector_tag_t</a></div><div class="ttdeci">typename neon_bitvector&lt; T, BW &gt;::tag_type neon_bitvector_tag_t</div><div class="ttdoc">Helper type template to get the tag type of a neon vector.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2wrapper_2traits_8h_source.xhtml#l00114">traits.h:114</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_abe949a509da417044624d62a73057441"><div class="ttname"><a href="namespacearm__compute.xhtml#abe949a509da417044624d62a73057441">arm_compute::vadd</a></div><div class="ttdeci">vec_8_byte_t&lt; float &gt; vadd(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_softmax_layer_kernel_8cpp_source.xhtml#l00232">NESoftmaxLayerKernel.cpp:232</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_aa87f8fc26981b0f3228a78c83b95b802"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const</div><div class="ttdoc">Alias to access the size of the first dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a142b55a483cadf4e1068a1a09a55e8e9"><div class="ttname"><a href="namespacearm__compute.xhtml#a142b55a483cadf4e1068a1a09a55e8e9">arm_compute::string_from_data_type</a></div><div class="ttdeci">const std::string &amp; string_from_data_type(DataType dt)</div><div class="ttdoc">Convert a data type identity into a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div>
<div class="ttc" id="_c_p_p_2_validate_8h_xhtml"><div class="ttname"><a href="_c_p_p_2_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div>
<div class="ttc" id="classarm__compute_1_1_steps_xhtml"><div class="ttname"><a href="classarm__compute_1_1_steps.xhtml">arm_compute::Steps</a></div><div class="ttdoc">Class to describe a number of elements in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_steps_8h_source.xhtml#l00040">Steps.h:40</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_a86084036bd3851575ef871ad5bf079a7"><div class="ttname"><a href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00214">Error.h:214</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ac4358b7409261f013124bd6068aeee79"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79">arm_compute::wrapper::add_sat</a></div><div class="ttdeci">uint8_t add_sat(const uint8_t &amp;a, const uint8_t &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="scalar_2add_8h_source.xhtml#l00033">add.h:33</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0fdcb923dfd4c74858cc2bc326321efb"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const</div><div class="ttdoc">Collapses all dimensions to a single linear total size.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00171">TensorShape.h:171</a></div></div>
<div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a706fc156bcd4c45441bcaad05884b57d"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">arm_compute::QuantizationInfo::uniform</a></div><div class="ttdeci">UniformQuantizationInfo uniform() const</div><div class="ttdoc">Return per layer quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00134">QuantizationInfo.h:134</a></div></div>
<div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr&lt; T &gt; clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a4b3ec2db417aa33bc7d68ad6e1ff7952"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952">arm_compute::wrapper::vqadd</a></div><div class="ttdeci">uint8x8_t vqadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="intrinsics_2add_8h_source.xhtml#l00073">add.h:73</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a45d610a8bc262f7007c934293361e888"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">arm_compute::detail::have_different_dimensions</a></div><div class="ttdeci">bool have_different_dimensions(const Dimensions&lt; T &gt; &amp;dim1, const Dimensions&lt; T &gt; &amp;dim2, unsigned int upper_dim)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00051">Validate.h:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &amp;dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00048">Window.inl:48</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7819bcbbf45c2e7c1396a137dce54422"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">arm_compute::test::validation::valid_region</a></div><div class="ttdeci">const ValidRegion valid_region</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00109">AbsoluteDifference.cpp:109</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_1_window_xhtml_ae20ec28555d4473419cae37cf120f35d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d">arm_compute::Window::broadcast_if_dimension_le_one</a></div><div class="ttdeci">Window broadcast_if_dimension_le_one(const TensorShape &amp;shape) const</div><div class="ttdoc">Don't advance in the dimension where shape is less equal to 1.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00106">Window.inl:106</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a3f3e1a3200223e6a304a533b1016e749"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">arm_compute::ITensorInfo::quantization_info</a></div><div class="ttdeci">virtual QuantizationInfo quantization_info() const =0</div><div class="ttdoc">Get the quantization settings (scale and offset) of the 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 S16 per channel</div></div>
<div class="ttc" id="_validate_8h_xhtml_aff911654521523937ff24372a870b89f"><div class="ttname"><a href="_validate_8h.xhtml#aff911654521523937ff24372a870b89f">ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00163">Validate.h:163</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div>
<div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdoc">Information about executing thread and CPU.</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00225">CPPTypes.h:225</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a18064e0011c3869d884653e9e7c47b66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">arm_compute::ITensorInfo::total_size</a></div><div class="ttdeci">virtual size_t total_size() const =0</div><div class="ttdoc">Returns the total size of the tensor in bytes.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0">arm_compute::ConvertPolicy::WRAP</a></div><div class="ttdoc">Wrap around.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a9d1a839c51134b2ae171a2264c541b6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">arm_compute::set_shape_if_empty</a></div><div class="ttdeci">bool set_shape_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape)</div><div class="ttdoc">Set the shape to the specified value if the current assignment is empty.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00234">Helpers.inl:234</a></div></div>
<div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml_a97bd6c077f3c7769f575b82988b9b668"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml#a97bd6c077f3c7769f575b82988b9b668">arm_compute::UniformQuantizationInfo::offset</a></div><div class="ttdeci">int32_t offset</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00062">QuantizationInfo.h:62</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ae1a6f6dde14fc3b0470cd0b08041ea9f"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">arm_compute::wrapper::vload</a></div><div class="ttdeci">uint8x8_t vload(const uint8_t *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="load_8h_source.xhtml#l00039">load.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_ae7943ea9c1f74dc72c62d4cc3966a459"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459">arm_compute::wrapper::vstore</a></div><div class="ttdeci">void vstore(uint8_t *ptr, uint8x8_t val)</div><div class="ttdef"><b>Definition:</b> <a href="store_8h_source.xhtml#l00039">store.h:39</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>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a39e87435be178fba49b76f49426ef873"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">arm_compute::wrapper::vdup_n</a></div><div class="ttdeci">uint8x8_t vdup_n(uint8_t value, traits::vector_64_tag)</div><div class="ttdef"><b>Definition:</b> <a href="dup__n_8h_source.xhtml#l00041">dup_n.h:41</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a8076ba239b6681067b6cfea7f773a39f"><div class="ttname"><a href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">arm_compute::set_format_if_unknown</a></div><div class="ttdeci">bool set_format_if_unknown(ITensorInfo &amp;info, Format format)</div><div class="ttdoc">Set the format, data type and number of channels to the specified value if the current data type is u...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00245">Helpers.inl:245</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00128">Dimensions.h:128</a></div></div>
<div class="ttc" id="wrapper_8h_xhtml"><div class="ttname"><a href="wrapper_8h.xhtml">wrapper.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa1c6a4a70ded6258fff31b3de53dfb8f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f">arm_compute::graph::bfs</a></div><div class="ttdeci">std::vector&lt; NodeID &gt; bfs(Graph &amp;g)</div><div class="ttdoc">Breadth first search traversal.</div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8cpp_source.xhtml#l00072">TopologicalSort.cpp:72</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="ttdoc">Container for valid region of a window.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00174">Types.h:174</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_a0f590bfcf19110f44efc502e7b5c1d9e"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">arm_compute::Window::Dimension::end</a></div><div class="ttdeci">constexpr int end() const</div><div class="ttdoc">Return the end of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00097">Window.h:97</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00318">Helpers.h:318</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a8dbba1731c32d176ae6635be1c65cbd6"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">arm_compute::wrapper::vmovl</a></div><div class="ttdeci">uint16x8_t vmovl(const uint8x8_t &amp;a)</div><div class="ttdef"><b>Definition:</b> <a href="movl_8h_source.xhtml#l00039">movl.h:39</a></div></div>
<div class="ttc" id="_n_e_fixed_point_8h_xhtml"><div class="ttname"><a href="_n_e_fixed_point_8h.xhtml">NEFixedPoint.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_ab24e31d1a4830bf79564ee902ec6c060"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">arm_compute::Window::Dimension::start</a></div><div class="ttdeci">constexpr int start() const</div><div class="ttdoc">Return the start of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00092">Window.h:92</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a82b8ac759c804bc1fb4e2d21e178fb6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f">arm_compute::ConvertPolicy</a></div><div class="ttdeci">ConvertPolicy</div><div class="ttdoc">Policy to handle overflow.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00349">Types.h:349</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div>
<div class="ttc" id="_i_access_window_8h_xhtml"><div class="ttname"><a href="_i_access_window_8h.xhtml">IAccessWindow.h</a></div></div>
<div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a25591070cf041aff512719050c39e5ee"><div class="ttname"><a href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">arm_compute::quantize_qasymm8</a></div><div class="ttdeci">uint8_t quantize_qasymm8(float value, const UniformQuantizationInfo &amp;qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00204">QuantizationInfo.h:204</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a273fd2ecdd45169b2f702f01a7e5e382"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">arm_compute::Window::x</a></div><div class="ttdeci">constexpr const Dimension &amp; x() const</div><div class="ttdoc">Alias to access the first dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00143">Window.h:143</a></div></div>
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