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<div class="title">NEDirectConvolutionDetail.h</div> </div>
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<a href="_n_e_direct_convolution_detail_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2020 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;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#ifndef ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#define ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_access_window_static_8h.xhtml">arm_compute/core/AccessWindowStatic.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="_n_e_fixed_point_8h.xhtml">arm_compute/core/NEON/NEFixedPoint.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="wrapper_8h.xhtml">arm_compute/core/NEON/wrapper/wrapper.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="_requires_8h.xhtml">arm_compute/core/utils/misc/Requires.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &lt;arm_neon.h&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">namespace </span>detail</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;{<span class="comment"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment">/** Loads a 3x3 matrix as a row (float).</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"> * @param[in] ptr Pointer to a float 3x3 matrix.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="comment"> * @param[in] weights_offset (Optional) Weights quantization offset.</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="comment"> * @return The loaded matrix.</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a5db34f1ae85326efebbe1dadb65f0301"> 46</a></span>&#160;<span class="keyword">inline</span> float32x4x3_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">load_matrix_row</a>(<span class="keyword">const</span> <span class="keywordtype">float</span> *ptr, <span class="keywordtype">int</span> weights_offset = 0)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(weights_offset);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">const</span> float32x4x3_t r =</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; {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; vld1q_dup_f32(ptr),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; vld1q_dup_f32(1 + ptr),</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; vld1q_dup_f32(2 + ptr)</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; };</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">return</span> r;</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"></span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment">/** Loads a 3x3 matrix as a row (uint8_t/int8_t).</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"> * @param[in] ptr Pointer to a uint8_t/int8_t 3x3 matrix.</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="comment"> * @param[in] weights_offset (Optional) Weights quantization offset.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"> * @return The loaded matrix.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="keyword">template</span> &lt; <span class="keyword">typename</span> T, REQUIRES_TA(std::is_same&lt;T, u<span class="keywordtype">int</span>8_t&gt;::value || std::is_same&lt;T, <span class="keywordtype">int</span>8_t&gt;::value) &gt;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a87d22164f804124f911636193e4c10e6"> 68</a></span>&#160;<span class="keyword">inline</span> int32x4x3_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">load_matrix_row</a>(<span class="keyword">const</span> T *ptr, <span class="keywordtype">int</span> weights_offset = 0)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;{</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">const</span> int32x4_t v_weights_offset = vdupq_n_s32(weights_offset);</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="comment">/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="comment"> r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; int32x4x3_t r =</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; vaddq_s32(v_weights_offset, vdupq_n_s32(*ptr)),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 1))),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 2)))</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; };</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;}</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="comment"> * @param[in] input_offset (Optional) Input quantization offset.</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb"> 97</a></span>&#160;<span class="keyword">inline</span> float32x4_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(<span class="keyword">const</span> <span class="keywordtype">float</span> *in_top, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_mid, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_low,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">const</span> float32x4x3_t &amp;m0, <span class="keyword">const</span> float32x4x3_t &amp;m1, <span class="keyword">const</span> float32x4x3_t &amp;m2,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dilation_x, <span class="keywordtype">int</span> input_offset)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</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; <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; vld1q_f32(in_top),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; vld1q_f32(in_top + dilation_x),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; vld1q_f32(in_top + 2 * dilation_x)</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; <span class="keyword">const</span> float32x4x3_t vmid =</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; {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; vld1q_f32(in_mid),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; vld1q_f32(in_mid + dilation_x),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; vld1q_f32(in_mid + 2 * dilation_x)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; }</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; <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; vld1q_f32(in_low),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; vld1q_f32(in_low + dilation_x),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; vld1q_f32(in_low + 2 * dilation_x)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; };</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; float32x4_t out = vmulq_f32(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; out = vmlaq_f32(out, vtop.val[1], m0.val[1]);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; out = vmlaq_f32(out, vtop.val[2], m0.val[2]);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; out = vmlaq_f32(out, vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; out = vmlaq_f32(out, vmid.val[1], m1.val[1]);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; out = vmlaq_f32(out, vmid.val[2], m1.val[2]);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; out = vmlaq_f32(out, vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; out = vmlaq_f32(out, vlow.val[1], m2.val[1]);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; out = vmlaq_f32(out, vlow.val[2], m2.val[2]);</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="keywordflow">return</span> out;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;}</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 8 consecutive elements on float32 when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="comment"> * @param[in] input_offset (Optional) Input quantization offset.</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#acd78cf020600423cd03654ca37776f87"> 155</a></span>&#160;<span class="keyword">inline</span> float32x4x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#acd78cf020600423cd03654ca37776f87">convolve_3x3_dilation</a>(<span class="keyword">const</span> <span class="keywordtype">float</span> *in_top, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_mid, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_low,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="keyword">const</span> float32x4x3_t &amp;m0, <span class="keyword">const</span> float32x4x3_t &amp;m1, <span class="keyword">const</span> float32x4x3_t &amp;m2,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dilation_x, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset = 0)</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; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(stridex &gt; 3);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; float32x4x2_t out =</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</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; <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset),</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; };</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="keywordflow">if</span>(stridex == 2)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(stridex == 3)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">return</span> out;</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="comment"></span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;<span class="comment">/** Perform a convolve3x3 on float32.</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;<span class="comment"> * @param[in] input_offset (Optional) Input quantization offset.</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;float32x4x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">convolve_3x3</a>(<span class="keyword">const</span> <span class="keywordtype">float</span> *in_top, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_mid, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_low,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="keyword">const</span> float32x4x3_t &amp;m0, <span class="keyword">const</span> float32x4x3_t &amp;m1, <span class="keyword">const</span> float32x4x3_t &amp;m2,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset = 0);</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"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a5c3182eeb230c47d1df510393a2c470d"> 198</a></span>&#160;<span class="keyword">inline</span> float32x4x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">convolve_3x3</a>(<span class="keyword">const</span> <span class="keywordtype">float</span> *in_top, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_mid, <span class="keyword">const</span> <span class="keywordtype">float</span> *in_low,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keyword">const</span> float32x4x3_t &amp;m0, <span class="keyword">const</span> float32x4x3_t &amp;m1, <span class="keyword">const</span> float32x4x3_t &amp;m2,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;{</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(stridex &gt; 3);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; float32x4x2_t out =</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; {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; vdupq_n_f32(0.f),</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; vdupq_n_f32(0.f)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; };</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">if</span>(stridex == 2)</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keyword">const</span> float32x4x2_t vtop = vld2q_f32(in_top);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keyword">const</span> float32x4x2_t vmid = vld2q_f32(in_mid);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keyword">const</span> float32x4x2_t vlow = vld2q_f32(in_low);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keyword">const</span> float32x4_t vtop_end = vld1q_f32(in_top + 8);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keyword">const</span> float32x4_t vmid_end = vld1q_f32(in_mid + 8);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keyword">const</span> float32x4_t vlow_end = vld1q_f32(in_low + 8);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; out.val[0] = vmulq_f32(vtop.val[0], m0.val[0]);</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; out.val[0] = vmlaq_f32(out.val[0], vtop.val[1], m0.val[1]);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop_end, 1), m0.val[2]);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vmid.val[1], m1.val[1]);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid_end, 1), m1.val[2]);</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; out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vlow.val[1], m2.val[1]);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow_end, 1), m2.val[2]);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; vld1q_f32(in_top),</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; vld1q_f32(in_top + 4),</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; vld1q_f32(in_top + 8)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; };</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keyword">const</span> float32x4x3_t vmid =</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; vld1q_f32(in_mid),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; vld1q_f32(in_mid + 4),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; vld1q_f32(in_mid + 8)</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="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; {</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; vld1q_f32(in_low),</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; vld1q_f32(in_low + 4),</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; vld1q_f32(in_low + 8)</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; };</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; out.val[0] = vmulq_f32(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; out.val[1] = vmulq_f32(vtop.val[1], m0.val[0]);</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; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]);</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; out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]);</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; out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordflow">if</span>(stridex == 3)</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; out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; }</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">return</span> out;</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;<span class="comment"></span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 4 consecutive 8-bit elements when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160;<span class="comment"> * @param[in] input_offset Input quantization offset.</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;<span class="keyword">template</span> &lt; <span class="keyword">typename</span> T, REQUIRES_TA(std::is_same&lt;T, u<span class="keywordtype">int</span>8_t&gt;::value || std::is_same&lt;T, <span class="keywordtype">int</span>8_t&gt;::value) &gt;</div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#ae63552b4bf3d8bda8762cf39c8082ce0"> 307</a></span>&#160;<span class="keyword">inline</span> int32x4_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(<span class="keyword">const</span> T *in_top, <span class="keyword">const</span> T *in_mid, <span class="keyword">const</span> T *in_low,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keyword">const</span> int32x4x3_t &amp;m0, <span class="keyword">const</span> int32x4x3_t &amp;m1, <span class="keyword">const</span> int32x4x3_t &amp;m2,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordtype">size_t</span> dilation_x, int32_t input_offset)</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;{</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <span class="keyword">using</span> VectorType = <span class="keyword">typename</span> std::conditional&lt;std::is_same&lt;T, uint8_t&gt;::value, uint8x8x3_t, int8x8x3_t&gt;<a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keyword">using</span> OutputTagType = <span class="keyword">typename</span> <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">wrapper::traits::neon_bitvector_tag_t&lt;int32_t, wrapper::traits::BitWidth::W128&gt;</a>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <span class="keyword">const</span> int32x4_t v_input_offset = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(input_offset, OutputTagType{});</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keyword">const</span> VectorType vtop =</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; {</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_top),</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_top + dilation_x),</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_top + 2 * dilation_x)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; }</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; };</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keyword">const</span> VectorType vmid =</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; {</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_mid),</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_mid + dilation_x),</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_mid + 2 * dilation_x)</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; };</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keyword">const</span> VectorType vlow =</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; {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_low),</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_low + dilation_x),</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_low + 2 * dilation_x)</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; };</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keyword">const</span> int32x4x3_t vtop_s32 =</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[0])))),</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[1])))),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[2])))),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; }</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; };</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keyword">const</span> int32x4x3_t vmid_s32 =</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[0])))),</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[1])))),</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[2])))),</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; };</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keyword">const</span> int32x4x3_t vlow_s32 =</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; {</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[0])))),</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[1])))),</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[2])))),</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; }</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;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; int32x4_t out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">wrapper::vmul</a>(vtop_s32.val[0], m0.val[0]);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vtop_s32.val[1], m0.val[1]);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vtop_s32.val[2], m0.val[2]);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vmid_s32.val[0], m1.val[0]);</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vmid_s32.val[1], m1.val[1]);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vmid_s32.val[2], m1.val[2]);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vlow_s32.val[0], m2.val[0]);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vlow_s32.val[1], m2.val[1]);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; out = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out, vlow_s32.val[2], m2.val[2]);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="keywordflow">return</span> out;</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;<span class="comment"></span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 4 consecutive 8-bit elements when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160;<span class="comment"> * @param[in] input_offset Input quantization offset.</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="keyword">template</span> &lt; <span class="keyword">typename</span> T, REQUIRES_TA(std::is_same&lt;T, u<span class="keywordtype">int</span>8_t&gt;::value || std::is_same&lt;T, <span class="keywordtype">int</span>8_t&gt;::value) &gt;</div><div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a3714766fb92e59c3264d5a981e58d7ee"> 395</a></span>&#160;<span class="keyword">inline</span> int32x4x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#acd78cf020600423cd03654ca37776f87">convolve_3x3_dilation</a>(<span class="keyword">const</span> T *in_top, <span class="keyword">const</span> T *in_mid, <span class="keyword">const</span> T *in_low, <span class="keyword">const</span> int32x4x3_t &amp;m0, <span class="keyword">const</span> int32x4x3_t &amp;m1, <span class="keyword">const</span> int32x4x3_t &amp;m2,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dilation_x, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;{</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(stridex &gt; 3);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; int32x4x2_t out =</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; {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset),</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)</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; };</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <span class="keywordflow">if</span>(stridex == 2)</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; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[1], 2), out.val[0], 3);</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="keywordflow">else</span> <span class="keywordflow">if</span>(stridex == 3)</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; {</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160;}</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;<span class="comment">/** Perform a convolve3x3 on 8-bit elements</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160;<span class="comment"> * @param[in] input_offset Input quantization offset.</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160;<span class="keyword">template</span> &lt; <span class="keyword">typename</span> T, REQUIRES_TA(std::is_same&lt;T, u<span class="keywordtype">int</span>8_t&gt;::value || std::is_same&lt;T, <span class="keywordtype">int</span>8_t&gt;::value) &gt;</div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a35b7bb6a2201955b07e10560b35f8bf9"> 433</a></span>&#160;int32x4x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">convolve_3x3</a>(<span class="keyword">const</span> T *in_top, <span class="keyword">const</span> T *in_mid, <span class="keyword">const</span> T *in_low,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; <span class="keyword">const</span> int32x4x3_t &amp;m0, <span class="keyword">const</span> int32x4x3_t &amp;m1, <span class="keyword">const</span> int32x4x3_t &amp;m2,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, int32_t input_offset)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160;{</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(stridex &gt; 3);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="keyword">using</span> VectorType = <span class="keyword">typename</span> std::conditional&lt;std::is_same&lt;T, uint8_t&gt;::value, uint8x8x2_t, int8x8x2_t&gt;<a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <span class="keyword">using</span> OutputTagType = <span class="keyword">typename</span> <a class="code" href="namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3">wrapper::traits::neon_bitvector_tag_t&lt;int32_t, wrapper::traits::BitWidth::W128&gt;</a>;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <span class="keyword">const</span> int32x4_t v_input_offset = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(input_offset, OutputTagType{});</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <span class="keyword">const</span> VectorType vtop =</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; {</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_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_top),</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_top + 8)</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; };</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <span class="keyword">const</span> VectorType vmid =</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; {</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_mid),</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_mid + 8)</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; };</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; <span class="keyword">const</span> VectorType vlow =</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; {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_low),</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f">wrapper::vload</a>(in_low + 8)</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; };</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; <span class="keyword">const</span> int32x4x3_t vtop_s32 =</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; {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[0])))),</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3">wrapper::vgethigh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[0])))),</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vtop.val[1])))),</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; }</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; <span class="keyword">const</span> int32x4x3_t vmid_s32 =</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; {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[0])))),</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3">wrapper::vgethigh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[0])))),</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vmid.val[1])))),</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; }</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; };</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <span class="keyword">const</span> int32x4x3_t vlow_s32 =</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[0])))),</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3">wrapper::vgethigh</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[0])))),</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">wrapper::vaddw</a>(v_input_offset, <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">wrapper::vreinterpret</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">wrapper::vgetlow</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a8dbba1731c32d176ae6635be1c65cbd6">wrapper::vmovl</a>(vlow.val[1])))),</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; };</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; int32x4x2_t out</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; {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast&lt;int32_t&gt;(0), OutputTagType{}),</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873">wrapper::vdup_n</a>(static_cast&lt;int32_t&gt;(0), OutputTagType{}),</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; };</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="comment">// 0</span></div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], vtop_s32.val[0], m0.val[0]);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vtop_s32.val[0], vtop_s32.val[1]), m0.val[1]);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vtop_s32.val[0], vtop_s32.val[1]), m0.val[2]);</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; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], vmid_s32.val[0], m1.val[0]);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vmid_s32.val[0], vmid_s32.val[1]), m1.val[1]);</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vmid_s32.val[0], vmid_s32.val[1]), m1.val[2]);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], vlow_s32.val[0], m2.val[0]);</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vlow_s32.val[0], vlow_s32.val[1]), m2.val[1]);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[0], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vlow_s32.val[0], vlow_s32.val[1]), m2.val[2]);</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">// 1</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], vtop_s32.val[1], m0.val[0]);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vtop_s32.val[1], vtop_s32.val[2]), m0.val[1]);</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vtop_s32.val[1], vtop_s32.val[2]), m0.val[2]);</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; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], vmid_s32.val[1], m1.val[0]);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vmid_s32.val[1], vmid_s32.val[2]), m1.val[1]);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vmid_s32.val[1], vmid_s32.val[2]), m1.val[2]);</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; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], vlow_s32.val[1], m2.val[0]);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">wrapper::vext_1</a>(vlow_s32.val[1], vlow_s32.val[2]), m2.val[1]);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; out.val[1] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">wrapper::vmla</a>(out.val[1], <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">wrapper::vext_2</a>(vlow_s32.val[1], vlow_s32.val[2]), m2.val[2]);</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; <span class="keywordflow">if</span>(stridex == 2)</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; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[1], 2), out.val[0], 3);</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">else</span> <span class="keywordflow">if</span>(stridex == 3)</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; out.val[0] = <a class="code" href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">wrapper::vsetlane</a>(<a class="code" href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">wrapper::vgetlane</a>(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; }</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="keywordflow">return</span> out;</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="comment"></span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;<span class="comment">/** Stores a float32x4x2_t array into a memory location.</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;<span class="comment"> * @param[in] buffer Pointer to the memory location where the values will be stored.</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160;<span class="comment"> * @param[in] values Values that will be stored.</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> str<span class="keywordtype">id</span>ex&gt;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>(<span class="keywordtype">float</span> *buffer, <span class="keyword">const</span> float32x4x2_t &amp;values);</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;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">store_results&lt;1&gt;</a>(<span class="keywordtype">float</span> *buffer, <span class="keyword">const</span> float32x4x2_t &amp;values)</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; vst1q_f32(buffer, values.val[0]);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; vst1q_f32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160;}</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">template</span> &lt;&gt;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">store_results&lt;2&gt;</a>(<span class="keywordtype">float</span> *buffer, <span class="keyword">const</span> float32x4x2_t &amp;values)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;{</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; vst1q_f32(buffer, values.val[0]);</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;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">store_results&lt;3&gt;</a>(<span class="keywordtype">float</span> *buffer, <span class="keyword">const</span> float32x4x2_t &amp;values)</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160;{</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; vst1_f32(buffer, vget_low_f32(values.val[0]));</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;<span class="comment"></span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160;<span class="comment">/** Stores a uint32_t array into a memory location.</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160;<span class="comment"> * @param[in] buffer Pointer to the memory location where the values will be stored.</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;<span class="comment"> * @param[in] values Values that will be stored.</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> str<span class="keywordtype">id</span>ex&gt;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>(int32_t *buffer, <span class="keyword">const</span> int32x4x2_t &amp;values);</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="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a143f43b1fb56a8d806145e95d4c3995e"> 575</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">store_results&lt;1&gt;</a>(int32_t *buffer, <span class="keyword">const</span> int32x4x2_t &amp;values)</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160;{</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; vst1q_s32(buffer, values.val[0]);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; vst1q_s32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160;}</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="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00582"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#af63e34203346681c35b68fcca2026a06"> 582</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">store_results&lt;2&gt;</a>(int32_t *buffer, <span class="keyword">const</span> int32x4x2_t &amp;values)</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160;{</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; vst1q_s32(buffer, values.val[0]);</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;</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a991bde46f2841422fb98258127305050"> 588</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">store_results&lt;3&gt;</a>(int32_t *buffer, <span class="keyword">const</span> int32x4x2_t &amp;values)</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; vst1_s32(buffer, vget_low_s32(values.val[0]));</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160;}</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160;</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;<span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160;<span class="comment">/** Loads a 3x3 matrix as a row (float16_t).</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160;<span class="comment"> * @param[in] ptr Pointer to a float 3x3 matrix.</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160;<span class="comment"> * @return The loaded matrix.</span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160;<span class="keyword">inline</span> float16x8x3_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">load_matrix_row</a>(<span class="keyword">const</span> float16_t *ptr, <span class="keywordtype">int</span> weights_offset = 0)</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; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(weights_offset);</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <span class="comment">/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:</span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;<span class="comment"> r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; <span class="keyword">const</span> float16x8x3_t r =</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; {</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; vld1q_dup_f16(ptr),</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; vld1q_dup_f16(1 + ptr),</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; vld1q_dup_f16(2 + ptr)</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; }</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; };</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160;}</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 8 consecutive elements on float16 when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160;<span class="comment"> * @param[in] input_offset (Optional)Input quantization offset.</span></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160;<span class="keyword">inline</span> float16x8_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(<span class="keyword">const</span> float16_t *in_top, <span class="keyword">const</span> float16_t *in_mid, <span class="keyword">const</span> float16_t *in_low,</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="keyword">const</span> float16x8x3_t &amp;m0, <span class="keyword">const</span> float16x8x3_t &amp;m1, <span class="keyword">const</span> float16x8x3_t &amp;m2,</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dilation_x, <span class="keywordtype">int</span> input_offset = 0)</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160;{</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; <span class="keyword">const</span> float16x8x3_t vtop =</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; vld1q_f16(in_top),</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; vld1q_f16(in_top + dilation_x),</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; vld1q_f16(in_top + 2 * dilation_x)</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; }</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; <span class="keyword">const</span> float16x8x3_t vmid =</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; {</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; vld1q_f16(in_mid),</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; vld1q_f16(in_mid + dilation_x),</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; vld1q_f16(in_mid + 2 * dilation_x)</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; }</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; };</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <span class="keyword">const</span> float16x8x3_t vlow =</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; {</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; {</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; vld1q_f16(in_low),</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; vld1q_f16(in_low + dilation_x),</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; vld1q_f16(in_low + 2 * dilation_x)</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; }</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; float16x8_t out = vmulq_f16(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; out = vaddq_f16(out, vmulq_f16(vtop.val[1], m0.val[1]));</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; out = vaddq_f16(out, vmulq_f16(vtop.val[2], m0.val[2]));</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160;</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; out = vaddq_f16(out, vmulq_f16(vmid.val[0], m1.val[0]));</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; out = vaddq_f16(out, vmulq_f16(vmid.val[1], m1.val[1]));</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; out = vaddq_f16(out, vmulq_f16(vmid.val[2], m1.val[2]));</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; out = vaddq_f16(out, vmulq_f16(vlow.val[0], m2.val[0]));</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; out = vaddq_f16(out, vmulq_f16(vlow.val[1], m2.val[1]));</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; out = vaddq_f16(out, vmulq_f16(vlow.val[2], m2.val[2]));</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; <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160;}</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160;<span class="comment">/** Perform a 3x3 convolution for 16 consecutive elements on float16 when dilation.x() or dilation.y() is not 1.</span></div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160;<span class="comment"> * @param[in] dilation_x Dilation, in elements across x.</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160;<span class="comment"> * @param[in] input_offset (Optional) Input quantization offset.</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160;<span class="keyword">inline</span> float16x8x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#acd78cf020600423cd03654ca37776f87">convolve_3x3_dilation</a>(<span class="keyword">const</span> float16_t *in_top, <span class="keyword">const</span> float16_t *in_mid, <span class="keyword">const</span> float16_t *in_low,</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <span class="keyword">const</span> float16x8x3_t &amp;m0, <span class="keyword">const</span> float16x8x3_t &amp;m1, <span class="keyword">const</span> float16x8x3_t &amp;m2,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dilation_x, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset = 0)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160;{</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; float16x8x2_t out =</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; {</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_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset),</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; <a class="code" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a>(in_top + 8, in_mid + 8, in_low + 8, m0, m1, m2, dilation_x, input_offset)</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; }</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;</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; <span class="keywordflow">if</span>(stridex == 2)</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; {</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 4), out.val[0], 2);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 3);</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 0), out.val[0], 4);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 2), out.val[0], 5);</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 4), out.val[0], 6);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 6), out.val[0], 7);</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; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(stridex == 3)</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; {</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 1), out.val[0], 3);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; }</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160;</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; <span class="keywordflow">return</span> out;</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"></span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160;<span class="comment">/** Perform a convolve3x3 on float16.</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160;<span class="comment"> * @param[in] in_top Pointer to the first row of the input.</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;<span class="comment"> * @param[in] in_mid Pointer to the second row of the input.</span></div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;<span class="comment"> * @param[in] in_low Pointer to the third row of the input.</span></div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;<span class="comment"> * @param[in] m0 First row of the filter.</span></div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160;<span class="comment"> * @param[in] m1 Second row of the filter.</span></div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;<span class="comment"> * @param[in] m2 Third row of the filter.</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160;<span class="comment"> * @param[in] input_offset (Optional) Input quantization offset.</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160;<span class="keyword">inline</span> float16x8x2_t <a class="code" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">convolve_3x3</a>(<span class="keyword">const</span> float16_t *in_top, <span class="keyword">const</span> float16_t *in_mid, <span class="keyword">const</span> float16_t *in_low,</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; <span class="keyword">const</span> float16x8x3_t &amp;m0, <span class="keyword">const</span> float16x8x3_t &amp;m1, <span class="keyword">const</span> float16x8x3_t &amp;m2,</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex, <span class="keywordtype">int</span> input_offset = 0)</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;{</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; float16x8x2_t out =</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; {</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; {</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; vdupq_n_f16(0),</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; vdupq_n_f16(0)</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; }</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; };</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; <span class="keywordflow">if</span>(stridex == 2)</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; <span class="keyword">const</span> float16x8x2_t vtop = vld2q_f16(in_top);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; <span class="keyword">const</span> float16x8x2_t vmid = vld2q_f16(in_mid);</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; <span class="keyword">const</span> float16x8x2_t vlow = vld2q_f16(in_low);</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; <span class="keyword">const</span> float16x8_t vtop_end = vld1q_f16(in_top + 16);</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; <span class="keyword">const</span> float16x8_t vmid_end = vld1q_f16(in_mid + 16);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160; <span class="keyword">const</span> float16x8_t vlow_end = vld1q_f16(in_low + 16);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; out.val[0] = vmulq_f16(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vtop.val[1], m0.val[1]));</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop_end, 1), m0.val[2]));</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160;</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vmid.val[0], m1.val[0]));</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vmid.val[1], m1.val[1]));</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid_end, 1), m1.val[2]));</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160;</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vlow.val[0], m2.val[0]));</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vlow.val[1], m2.val[1]));</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow_end, 1), m2.val[2]));</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; }</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; {</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; <span class="keyword">const</span> float16x8x3_t vtop =</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; {</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; vld1q_f16(in_top),</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; vld1q_f16(in_top + 8),</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; vld1q_f16(in_top + 16)</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 class="lineno"> 774</span>&#160; <span class="keyword">const</span> float16x8x3_t vmid =</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; {</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; {</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; vld1q_f16(in_mid),</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; vld1q_f16(in_mid + 8),</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; vld1q_f16(in_mid + 16)</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; };</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <span class="keyword">const</span> float16x8x3_t vlow =</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; {</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; vld1q_f16(in_low),</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; vld1q_f16(in_low + 8),</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; vld1q_f16(in_low + 16)</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; };</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; out.val[0] = vmulq_f16(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; out.val[1] = vmulq_f16(vtop.val[1], m0.val[0]);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160;</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 1), m0.val[1]));</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 2), m0.val[2]));</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vmid.val[0], m1.val[0]));</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 1), m1.val[1]));</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 2), m1.val[2]));</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vlow.val[0], m2.val[0]));</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 1), m2.val[1]));</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 2), m2.val[2]));</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 1), m0.val[1]));</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 2), m0.val[2]));</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vmid.val[1], m1.val[0]));</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 1), m1.val[1]));</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 2), m1.val[2]));</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vlow.val[1], m2.val[0]));</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 1), m2.val[1]));</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 2), m2.val[2]));</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160;</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; <span class="keywordflow">if</span>(stridex == 3)</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; {</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 1), out.val[0], 3);</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; }</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160; }</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160;</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160;}</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160;<span class="comment">/** Stores a float16x8x2_t array into a memory location.</span></div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160;<span class="comment"> * @param[in] buffer Pointer to the memory location where the values will be stored.</span></div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160;<span class="comment"> * @param[in] values Values that will be stored.</span></div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> str<span class="keywordtype">id</span>ex&gt;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>(float16_t *buffer, <span class="keyword">const</span> float16x8x2_t &amp;values);</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160;</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">store_results&lt;1&gt;</a>(float16_t *buffer, <span class="keyword">const</span> float16x8x2_t &amp;values)</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160;{</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; vst1q_f16(buffer, values.val[0]);</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160; vst1q_f16(buffer + 8, values.val[1]);</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160;}</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160;</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">store_results&lt;2&gt;</a>(float16_t *buffer, <span class="keyword">const</span> float16x8x2_t &amp;values)</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160;{</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160; vst1q_f16(buffer, values.val[0]);</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160;}</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">store_results&lt;3&gt;</a>(float16_t *buffer, <span class="keyword">const</span> float16x8x2_t &amp;values)</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160;{</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; vst1_f16(buffer, vget_low_f16(values.val[0]));</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160;}</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160;<span class="comment">/** Get the number of elements processed on 3x3 convolution.</span></div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160;<span class="comment"> * @param[in] num_elems_written_per_iteration Number of elements written per iteration on 3x3 convolution.</span></div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160;<span class="comment"> * @param[in] stridex Stride value in elements across x.</span></div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160;<span class="comment"> * @return The number of elements processed.</span></div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00857"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1detail.xhtml#a17a8ccb1f281296a0ee7eb00693febbd"> 857</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ab8ad28c706dc842c9d532e04ed697f0d">get_input_num_elems_processed</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_elems_written_per_iteration, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> stridex)</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160;{</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; <span class="keywordflow">switch</span>(stridex)</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; {</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; <span class="keywordflow">return</span> num_elems_written_per_iteration;</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160; <span class="keywordflow">return</span> num_elems_written_per_iteration &lt;&lt; 1;</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; <span class="keywordflow">return</span> num_elems_written_per_iteration * 3;</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;stridex not supported&quot;</span>);</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160; <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; }</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160;}</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160;}</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H */</span><span class="preprocessor"></span></div><div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00352">Error.h:352</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#l00466">Error.h:466</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa247597303350172b1bf018e34402d47"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa247597303350172b1bf018e34402d47">arm_compute::wrapper::vext_2</a></div><div class="ttdeci">uint8x8_t vext_2(uint8x8_t value_a, uint8x8_t value_b)</div><div class="ttdef"><b>Definition:</b> <a href="ext_8h_source.xhtml#l00040">ext.h:40</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a703f0d5487e077348c2ac6bce80d9abb"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">arm_compute::detail::single_convolve_3x3_dilation</a></div><div class="ttdeci">float32x4_t single_convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, const size_t dilation_x, int input_offset)</div><div class="ttdoc">Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation....</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00097">NEDirectConvolutionDetail.h:97</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ab8ad28c706dc842c9d532e04ed697f0d"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ab8ad28c706dc842c9d532e04ed697f0d">arm_compute::detail::get_input_num_elems_processed</a></div><div class="ttdeci">int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration)</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) 2017-2020 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="namespacearm__compute_1_1detail_xhtml_a87f8e27c52a10ec90100fd5b0fcf663d"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a></div><div class="ttdeci">float32x4x2_t convolve_3x3(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2)</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#l00118">traits.h:118</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa16ace001ab8287faa46d6962f369219"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219">arm_compute::wrapper::vgetlane</a></div><div class="ttdeci">uint8_t vgetlane(const uint8x8_t vector, const unsigned int lane)</div><div class="ttdef"><b>Definition:</b> <a href="getlane_8h_source.xhtml#l00091">getlane.h:91</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_acd78cf020600423cd03654ca37776f87"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#acd78cf020600423cd03654ca37776f87">arm_compute::detail::convolve_3x3_dilation</a></div><div class="ttdeci">float32x4x2_t convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, const size_t dilation_x, unsigned int stridex, int input_offset=0)</div><div class="ttdoc">Perform a 3x3 convolution for 8 consecutive elements on float32 when dilation.x() or dilation....</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00155">NEDirectConvolutionDetail.h:155</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#l00152">Error.h:152</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a4f61df728949636afc38761f6ab319d3"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a4f61df728949636afc38761f6ab319d3">arm_compute::wrapper::vext_1</a></div><div class="ttdeci">uint8x8_t vext_1(uint8x8_t value_a, uint8x8_t value_b)</div><div class="ttdef"><b>Definition:</b> <a href="ext_8h_source.xhtml#l00039">ext.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a1ac67082e6f68cb7ed1939240fb6bdb5"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a></div><div class="ttdeci">void store_results(float *buffer, const float32x4x2_t &amp;values)</div><div class="ttdoc">Stores a float32x4x2_t array into a memory location.</div></div>
<div class="ttc" id="_requires_8h_xhtml"><div class="ttname"><a href="_requires_8h.xhtml">Requires.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a57b24ba39d5191e1946dcc87a7e88b10"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a57b24ba39d5191e1946dcc87a7e88b10">arm_compute::wrapper::vreinterpret</a></div><div class="ttdeci">int16x4_t vreinterpret(const uint16x4_t &amp;a)</div><div class="ttdef"><b>Definition:</b> <a href="reinterpret_8h_source.xhtml#l00044">reinterpret.h:44</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a2902775707bc7bf7d6da1bda1cc15783"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783">arm_compute::wrapper::vgetlow</a></div><div class="ttdeci">uint8x8_t vgetlow(const uint8x16_t val)</div><div class="ttdef"><b>Definition:</b> <a href="getlow_8h_source.xhtml#l00039">getlow.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a6ee3531f4293703c9b32e28421bfc061"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061">arm_compute::wrapper::vsetlane</a></div><div class="ttdeci">uint8x8_t vsetlane(const uint8_t value, const uint8x8_t vector, const unsigned int lane)</div><div class="ttdef"><b>Definition:</b> <a href="setlane_8h_source.xhtml#l00091">setlane.h:91</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a208468ac4ffbfe19d7fb03402ca927f6"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">arm_compute::detail::store_results&lt; 3 &gt;</a></div><div class="ttdeci">void store_results&lt; 3 &gt;(float *buffer, const float32x4x2_t &amp;values)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00143">NEDirectConvolution3x3.h:143</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a95ee388aa7c5bccab918235dc538a6b3"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3">arm_compute::wrapper::vgethigh</a></div><div class="ttdeci">uint8x8_t vgethigh(const uint8x16_t val)</div><div class="ttdef"><b>Definition:</b> <a href="gethigh_8h_source.xhtml#l00039">gethigh.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_aa58ed08eab6c63a3afd3fe48ad06a8fa"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#aa58ed08eab6c63a3afd3fe48ad06a8fa">arm_compute::wrapper::vaddw</a></div><div class="ttdeci">uint16x8_t vaddw(const uint16x8_t &amp;a, const uint8x8_t &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="intrinsics_2add_8h_source.xhtml#l00107">add.h:107</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1wrapper_xhtml_a66c8dd218a4863a14fec363e3dd13dc4"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4">arm_compute::wrapper::vmul</a></div><div class="ttdeci">uint8x8_t vmul(const uint8x8_t &amp;a, const uint8x8_t &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="mul_8h_source.xhtml#l00039">mul.h:39</a></div></div>
<div class="ttc" id="namespace_gemm_tuner_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">GemmTuner.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00527">GemmTuner.py:527</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ad61a01ef06cc3c41e4bb5006d9307687"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">arm_compute::detail::store_results&lt; 1 &gt;</a></div><div class="ttdeci">void store_results&lt; 1 &gt;(float *buffer, const float32x4x2_t &amp;values)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00130">NEDirectConvolution3x3.h:130</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_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_1_1detail_xhtml_afaba543670e99c2483e0bd1996201ba3"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">arm_compute::detail::load_matrix_row</a></div><div class="ttdeci">float32x4x3_t load_matrix_row(const float *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00034">NEDirectConvolution3x3.h:34</a></div></div>
<div class="ttc" id="_access_window_static_8h_xhtml"><div class="ttname"><a href="_access_window_static_8h.xhtml">AccessWindowStatic.h</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_1wrapper_xhtml_a4287931a2912ecb6cece71219ca5478c"><div class="ttname"><a href="namespacearm__compute_1_1wrapper.xhtml#a4287931a2912ecb6cece71219ca5478c">arm_compute::wrapper::vmla</a></div><div class="ttdeci">uint8x8_t vmla(const uint8x8_t &amp;a, const uint8x8_t &amp;b, const uint8x8_t &amp;c)</div><div class="ttdef"><b>Definition:</b> <a href="mla_8h_source.xhtml#l00046">mla.h:46</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="namespacearm__compute_1_1detail_xhtml_abaf3037739c190361ad3f827d73440a1"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">arm_compute::detail::store_results&lt; 2 &gt;</a></div><div class="ttdeci">void store_results&lt; 2 &gt;(float *buffer, const float32x4x2_t &amp;values)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00137">NEDirectConvolution3x3.h:137</a></div></div>
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