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<div class="title">quantize_wrapper.hpp</div> </div>
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<a href="quantize__wrapper_8hpp.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) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;arm_gemm.hpp&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="barrier_8hpp.xhtml">barrier.hpp</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="gemm__implementation_8hpp.xhtml">gemm_implementation.hpp</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="quantized_8hpp.xhtml">quantized.hpp</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="keyword">namespace </span><a class="code" href="namespacearm__gemm.xhtml">arm_gemm</a> {</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="comment">/* Quantized wrapper - do an integer GEMM and wrap around the quantization. */</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> To, <span class="keyword">typename</span> Tr, <span class="keyword">typename</span> Tgemm&gt;</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml"> 38</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> : <span class="keyword">public</span> GemmCommon&lt;To, Tr&gt; {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; UniqueGemmCommon&lt;To, Tgemm&gt; _subgemm = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; int32_t *_row_sums = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; int32_t *_col_sums = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; ARequantizeLayer32 _params;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; GemmArgs&lt;Tr&gt; _args;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <a class="code" href="classarm__gemm_1_1barrier.xhtml">barrier</a> _barrier;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordtype">void</span> *working_space = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">bool</span> arrays_set = <span class="keyword">false</span>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">/* We need a subgemm which outputs the 32-bit intermediates - how much space is needed for that? */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordtype">size_t</span> subgemm_output_size()<span class="keyword"> const </span>{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">return</span> (_args._Msize * _args._Nsize * _args._nbatches * _args._nmulti * <span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordtype">size_t</span> col_sum_size()<span class="keyword"> const </span>{</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">return</span> (_args._Nsize * _args._nmulti * <span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; }</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="keywordtype">size_t</span> row_sum_size()<span class="keyword"> const </span>{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> (_args._Msize * _args._nbatches * _args._nmulti * <span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">/* Local working space: We need space for the subgemm output (above) and</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"> * the row sums. If the GEMM is not pretransposed we need to store the</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"> * column sums here too. */</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">size_t</span> local_working_size()<span class="keyword"> const </span>{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">size_t</span> sz = subgemm_output_size() + row_sum_size();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">if</span> (_args._pretransposed_hint) {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span> sz;</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;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> sz + col_sum_size();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordtype">void</span> set_child_arrays() {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span> (working_space == <span class="keyword">nullptr</span> || arrays_set == <span class="keyword">false</span>)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">/* Use the first part of our working space for the subgemm result, pass the operand details straight through. */</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; _subgemm-&gt;set_arrays(this-&gt;_Aptr, this-&gt;_lda, this-&gt;_A_batch_stride, this-&gt;_A_multi_stride,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; this-&gt;_Bptr, this-&gt;_ldb, this-&gt;_B_multi_stride,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; reinterpret_cast&lt;Tgemm *&gt;(working_space), _args._Nsize, (_args._Nsize * _args._Msize), (_args._Nsize * _args._Msize * _args._nbatches));</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">void</span> col_sums_pretransposed(<span class="keyword">const</span> To *B, <span class="keyword">const</span> <span class="keywordtype">int</span> ldb, <span class="keyword">const</span> <span class="keywordtype">int</span> B_multi_stride) {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> multi=0; multi&lt;_args._nmulti; multi++) {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="namespacearm__gemm.xhtml#ac6ac0fe47fd694fe6d6dbba1ce6e9aac">compute_col_sums</a>(_params, _args._Nsize, _args._Ksize, B + (multi * B_multi_stride), ldb, _col_sums + (multi * _args._Nsize), _args._Ksize, 0);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordtype">void</span> col_sums_runtime(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> threadid) {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> first_col = (threadid * _args._Nsize) / _args._maxthreads;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> last_col = ((threadid + 1) * _args._Nsize) / _args._maxthreads;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784">for</a> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> multi=0; multi&lt;_args._nmulti; multi++) {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="namespacearm__gemm.xhtml#ac6ac0fe47fd694fe6d6dbba1ce6e9aac">compute_col_sums</a>(_params, (last_col - first_col), _args._Ksize, this-&gt;_Bptr + (multi * this-&gt;_B_multi_stride) + first_col, this-&gt;_ldb, _col_sums + (multi * _args._Nsize) + first_col, _args._Ksize, first_col);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</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; <span class="keywordtype">void</span> requantize_runtime(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> threadid) {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> first_row = (threadid * _args._Msize) / _args._maxthreads;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> last_row = ((threadid+1) * _args._Msize) / _args._maxthreads;</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; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784">for</a> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> multi=0; multi&lt;_args._nmulti; multi++) {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batch=0; batch&lt;_args._nbatches; batch++) {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="comment">/* Compute row sums now */</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="namespacearm__gemm.xhtml#a79d7971bf26ac0d4df7662a47d65d068">compute_row_sums</a>(_params, _args._Ksize, (last_row - first_row), this-&gt;_Aptr + (multi * this-&gt;_A_multi_stride) + (batch * this-&gt;_A_batch_stride) + (first_row * this-&gt;_lda),</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; this-&gt;_lda, _row_sums + (multi * _args._nbatches * _args._Msize) + (batch * _args._Msize) + first_row);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="comment">// If we don&#39;t care about negative values, call the version of this function that doesn&#39;t correct before shifting.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">// &#39;c_offset&#39; represents zero, so if the lowest possible quantized output value is the same or more than that we will not output negative numbers.</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearm__gemm.xhtml#a5367d66fa8e4648db3f690e9cfa7d498">requantize_block_32</a>(_params, _args._Nsize, (last_row - first_row),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; reinterpret_cast&lt;Tgemm *&gt;(working_space) + (multi * (_args._Msize * _args._Nsize * _args._nbatches)) + (batch * (_args._Msize * _args._Nsize)) + (first_row * _args._Nsize),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; _args._Nsize,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; this-&gt;_Cptr + (multi * this-&gt;_C_multi_stride) + (batch * this-&gt;_C_batch_stride) + (first_row * this-&gt;_ldc), this-&gt;_ldc,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; _row_sums + (multi * _args._nbatches * _args._Msize) + (batch * _args._Msize) + first_row,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; _col_sums + (multi * _args._Nsize));</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; }</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;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a774f265ae526558dcb394da1f600dd1d"> 124</a></span>&#160; <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a774f265ae526558dcb394da1f600dd1d">QuantizeWrapper</a>(<span class="keyword">const</span> GemmArgs&lt;Tr&gt; &amp;args, <span class="keyword">const</span> ARequantizeLayer32 &amp;qp) : _params(qp), _args(args), _barrier(args._maxthreads) {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; GemmArgs&lt;Tgemm&gt; newargs = GemmArgs&lt;Tgemm&gt;(args._ci, args._Msize, args._Nsize, args._Ksize, args._nbatches, args._nmulti, args._trA, args._trB, 1, 0, args._maxthreads, args._pretransposed_hint, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; _subgemm = gemm&lt;To, Tgemm&gt;(newargs);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">if</span> (_subgemm == <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">if</span> (!_subgemm-&gt;B_is_pretransposed()) {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; _args._pretransposed_hint = <span class="keyword">false</span>;</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; }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a774f265ae526558dcb394da1f600dd1d">QuantizeWrapper</a>(<span class="keyword">const</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;<a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9cd855408ee035839a83ca34e2603de4">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a774f265ae526558dcb394da1f600dd1d">QuantizeWrapper</a>(<a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;<a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9cd855408ee035839a83ca34e2603de4">operator=</a>(<a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml">QuantizeWrapper</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a2f51067424ad17181061558494fed662"> 142</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a2f51067424ad17181061558494fed662">set_arrays</a>(<span class="keyword">const</span> To *A, <span class="keyword">const</span> <span class="keywordtype">int</span> lda, <span class="keyword">const</span> <span class="keywordtype">int</span> A_batch_stride, <span class="keyword">const</span> <span class="keywordtype">int</span> A_multi_stride,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> To *B, <span class="keyword">const</span> <span class="keywordtype">int</span> ldb, <span class="keyword">const</span> <span class="keywordtype">int</span> B_multi_stride,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; Tr *C, <span class="keyword">const</span> <span class="keywordtype">int</span> ldc, <span class="keyword">const</span> <span class="keywordtype">int</span> C_batch_stride, <span class="keyword">const</span> <span class="keywordtype">int</span> C_multi_stride)<span class="keyword"> override </span>{</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; GemmCommon&lt;To, Tr&gt;::set_arrays(A, lda, A_batch_stride, A_multi_stride, B, ldb, B_multi_stride, C, ldc, C_batch_stride, C_multi_stride);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; arrays_set = <span class="keyword">true</span>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; set_child_arrays();</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2"> 151</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2">get_window_size</a>()<span class="keyword"> const override </span>{</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">return</span> _subgemm-&gt;get_window_size();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6"> 155</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6">set_nthreads</a>(<span class="keywordtype">int</span> nthreads)<span class="keyword"> override </span>{</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; _subgemm-&gt;set_nthreads(nthreads);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; _barrier.<a class="code" href="classarm__gemm_1_1barrier.xhtml#ad74688f775864e33d4b751cc1317beec">set_nthreads</a>(nthreads);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; _args._maxthreads = nthreads;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560"> 161</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560">execute</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> start, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> end, <span class="keywordtype">int</span> threadid)<span class="keyword"> override </span>{</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; _subgemm-&gt;execute(start, end, threadid);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordflow">if</span> (!_args._pretransposed_hint) {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; col_sums_runtime(threadid);</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; _barrier.<a class="code" href="classarm__gemm_1_1barrier.xhtml#ab3a1638fb79fab8886ce5aaccf9d4f7e">arrive_and_wait</a>();</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; requantize_runtime(threadid);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#abf5a58f6feffeae31f48b750cba9303d"> 172</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#abf5a58f6feffeae31f48b750cba9303d">get_working_size</a>()<span class="keyword"> const override </span>{</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">return</span> _subgemm-&gt;get_working_size() + local_working_size();</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="comment">// Space arrangement:</span></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; <span class="comment">// ptr</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="comment">// V</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="comment">// | subgemm output | row_sums | col_sums (if not pretransposed | subgemm working space |</span></div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a458c339803f238b70020c3d933e9f766"> 181</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a458c339803f238b70020c3d933e9f766">set_working_space</a>(<span class="keywordtype">void</span> *space)<span class="keyword"> override </span>{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; uintptr_t space_int = reinterpret_cast&lt;uintptr_t&gt;(space);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; working_space = space;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; _subgemm-&gt;set_working_space(reinterpret_cast&lt;void *&gt;(space_int + local_working_size()));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; _row_sums = reinterpret_cast&lt;int32_t *&gt;(space_int + subgemm_output_size());</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keywordflow">if</span> (!_args._pretransposed_hint) {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; _col_sums = reinterpret_cast&lt;int32_t *&gt;(space_int + subgemm_output_size() + row_sum_size());</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; set_child_arrays();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#ac5dec5063a75604fdc60555f15577b94"> 195</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#ac5dec5063a75604fdc60555f15577b94">B_is_pretransposed</a>()<span class="keyword"> const override </span>{</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">/* We clear this flag if the subgemm isn&#39;t pretransposed, so just return its value */</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordflow">return</span> _args._pretransposed_hint;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c"> 200</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c">B_pretranspose_required</a>()<span class="keyword"> const override </span>{</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">return</span> _subgemm-&gt;B_pretranspose_required();</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#ae9fc7380e533c43a1d91e48a7578e412"> 204</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#ae9fc7380e533c43a1d91e48a7578e412">get_B_pretransposed_array_size</a>()<span class="keyword"> const override </span>{</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">if</span> (_args._pretransposed_hint) {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">return</span> _subgemm-&gt;get_B_pretransposed_array_size() + col_sum_size();</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;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordflow">return</span> 0;</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"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0"> 212</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0">pretranspose_B_array</a>(<span class="keywordtype">void</span> *buffer, <span class="keyword">const</span> To *B, <span class="keyword">const</span> <span class="keywordtype">int</span> ldb, <span class="keyword">const</span> <span class="keywordtype">int</span> B_multi_stride)<span class="keyword"> override </span>{</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordflow">if</span> (!_args._pretransposed_hint) {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; uintptr_t buffer_int = reinterpret_cast&lt;uintptr_t&gt;(buffer);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; _subgemm-&gt;pretranspose_B_array(reinterpret_cast&lt;void *&gt;(buffer_int + col_sum_size()), B, ldb, B_multi_stride);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; _col_sums = reinterpret_cast&lt;int32_t *&gt;(buffer);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; col_sums_pretransposed(B, ldb, B_multi_stride);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a27df64c6276eb144594c5d37d1110b20"> 225</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a27df64c6276eb144594c5d37d1110b20">set_pretransposed_B_data</a>(<span class="keywordtype">void</span> *buffer)<span class="keyword"> override </span>{</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">if</span> (!_args._pretransposed_hint) {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; uintptr_t buffer_int = reinterpret_cast&lt;uintptr_t&gt;(buffer);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; _subgemm-&gt;set_pretransposed_B_data(reinterpret_cast&lt;void *&gt;(buffer_int + col_sum_size()));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; _col_sums = reinterpret_cast&lt;int32_t *&gt;(buffer);</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;</div><div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a4de4a3d351df9e6c82c93d0c51e00ef2"> 235</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__gemm_1_1_quantize_wrapper.xhtml#a4de4a3d351df9e6c82c93d0c51e00ef2">set_quantized_bias</a>(<span class="keyword">const</span> int32_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>)<span class="keyword"> override </span>{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; _params.bias = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</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;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;} <span class="comment">// namespace arm_gemm</span></div><div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a458c339803f238b70020c3d933e9f766"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a458c339803f238b70020c3d933e9f766">arm_gemm::QuantizeWrapper::set_working_space</a></div><div class="ttdeci">void set_working_space(void *space) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00181">quantize_wrapper.hpp:181</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml">arm_gemm::QuantizeWrapper</a></div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00038">quantize_wrapper.hpp:38</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a468e9c50d4decc2ba86f9bd393ba27d6"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a468e9c50d4decc2ba86f9bd393ba27d6">arm_gemm::QuantizeWrapper::set_nthreads</a></div><div class="ttdeci">void set_nthreads(int nthreads) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00155">quantize_wrapper.hpp:155</a></div></div>
<div class="ttc" id="gemm__implementation_8hpp_xhtml"><div class="ttname"><a href="gemm__implementation_8hpp.xhtml">gemm_implementation.hpp</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a27df64c6276eb144594c5d37d1110b20"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a27df64c6276eb144594c5d37d1110b20">arm_gemm::QuantizeWrapper::set_pretransposed_B_data</a></div><div class="ttdeci">void set_pretransposed_B_data(void *buffer) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00225">quantize_wrapper.hpp:225</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_abf5a58f6feffeae31f48b750cba9303d"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#abf5a58f6feffeae31f48b750cba9303d">arm_gemm::QuantizeWrapper::get_working_size</a></div><div class="ttdeci">size_t get_working_size() const override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00172">quantize_wrapper.hpp:172</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a0886942393a3ba0dfefaa7516b159784"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784">arm_compute::test::validation::for</a></div><div class="ttdeci">for(size_t k=0;k&lt; _target.size();++k)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_unstack_8cpp_source.xhtml#l00091">Unstack.cpp:91</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a28341e4e1158f3446a8dfa13c9f5c6f0"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0">arm_gemm::QuantizeWrapper::pretranspose_B_array</a></div><div class="ttdeci">void pretranspose_B_array(void *buffer, const To *B, const int ldb, const int B_multi_stride) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00212">quantize_wrapper.hpp:212</a></div></div>
<div class="ttc" id="namespacearm__gemm_xhtml"><div class="ttname"><a href="namespacearm__gemm.xhtml">arm_gemm</a></div><div class="ttdef"><b>Definition:</b> <a href="barrier_8hpp_source.xhtml#l00030">barrier.hpp:30</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a4de4a3d351df9e6c82c93d0c51e00ef2"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a4de4a3d351df9e6c82c93d0c51e00ef2">arm_gemm::QuantizeWrapper::set_quantized_bias</a></div><div class="ttdeci">void set_quantized_bias(const int32_t *bias) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00235">quantize_wrapper.hpp:235</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a774f265ae526558dcb394da1f600dd1d"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a774f265ae526558dcb394da1f600dd1d">arm_gemm::QuantizeWrapper::QuantizeWrapper</a></div><div class="ttdeci">QuantizeWrapper(const GemmArgs&lt; Tr &gt; &amp;args, const ARequantizeLayer32 &amp;qp)</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00124">quantize_wrapper.hpp:124</a></div></div>
<div class="ttc" id="classarm__gemm_1_1barrier_xhtml_ab3a1638fb79fab8886ce5aaccf9d4f7e"><div class="ttname"><a href="classarm__gemm_1_1barrier.xhtml#ab3a1638fb79fab8886ce5aaccf9d4f7e">arm_gemm::barrier::arrive_and_wait</a></div><div class="ttdeci">void arrive_and_wait()</div><div class="ttdef"><b>Definition:</b> <a href="barrier_8hpp_source.xhtml#l00047">barrier.hpp:47</a></div></div>
<div class="ttc" id="namespacearm__gemm_xhtml_a5367d66fa8e4648db3f690e9cfa7d498"><div class="ttname"><a href="namespacearm__gemm.xhtml#a5367d66fa8e4648db3f690e9cfa7d498">arm_gemm::requantize_block_32</a></div><div class="ttdeci">void requantize_block_32(const ARequantizeLayer32 &amp;qp, unsigned int width, unsigned int height, const Tin *input, unsigned int in_stride, Tout *output, unsigned int out_stride, const int32_t *row_bias, const int32_t *col_bias)</div></div>
<div class="ttc" id="classarm__gemm_1_1barrier_xhtml_ad74688f775864e33d4b751cc1317beec"><div class="ttname"><a href="classarm__gemm_1_1barrier.xhtml#ad74688f775864e33d4b751cc1317beec">arm_gemm::barrier::set_nthreads</a></div><div class="ttdeci">void set_nthreads(unsigned int nthreads)</div><div class="ttdef"><b>Definition:</b> <a href="barrier_8hpp_source.xhtml#l00043">barrier.hpp:43</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a2f51067424ad17181061558494fed662"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a2f51067424ad17181061558494fed662">arm_gemm::QuantizeWrapper::set_arrays</a></div><div class="ttdeci">void set_arrays(const To *A, const int lda, const int A_batch_stride, const int A_multi_stride, const To *B, const int ldb, const int B_multi_stride, Tr *C, const int ldc, const int C_batch_stride, const int C_multi_stride) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00142">quantize_wrapper.hpp:142</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div>
<div class="ttc" id="namespacearm__gemm_xhtml_ac6ac0fe47fd694fe6d6dbba1ce6e9aac"><div class="ttname"><a href="namespacearm__gemm.xhtml#ac6ac0fe47fd694fe6d6dbba1ce6e9aac">arm_gemm::compute_col_sums</a></div><div class="ttdeci">void compute_col_sums(const ARequantizeLayer32 &amp;qp, unsigned int width, unsigned int height, const T *input, unsigned int in_stride, int32_t *col_bias, unsigned int depth, unsigned int first_col)</div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a9fe814165d032363ea4f9cfdd36dd5e2"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2">arm_gemm::QuantizeWrapper::get_window_size</a></div><div class="ttdeci">unsigned int get_window_size() const override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00151">quantize_wrapper.hpp:151</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_ae9fc7380e533c43a1d91e48a7578e412"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#ae9fc7380e533c43a1d91e48a7578e412">arm_gemm::QuantizeWrapper::get_B_pretransposed_array_size</a></div><div class="ttdeci">size_t get_B_pretransposed_array_size() const override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00204">quantize_wrapper.hpp:204</a></div></div>
<div class="ttc" id="barrier_8hpp_xhtml"><div class="ttname"><a href="barrier_8hpp.xhtml">barrier.hpp</a></div></div>
<div class="ttc" id="namespacearm__gemm_xhtml_a79d7971bf26ac0d4df7662a47d65d068"><div class="ttname"><a href="namespacearm__gemm.xhtml#a79d7971bf26ac0d4df7662a47d65d068">arm_gemm::compute_row_sums</a></div><div class="ttdeci">void compute_row_sums(const ARequantizeLayer32 &amp;qp, unsigned int width, unsigned int height, const T *input, unsigned int in_stride, int32_t *row_bias)</div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a9cd855408ee035839a83ca34e2603de4"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a9cd855408ee035839a83ca34e2603de4">arm_gemm::QuantizeWrapper::operator=</a></div><div class="ttdeci">QuantizeWrapper &amp; operator=(const QuantizeWrapper &amp;)=delete</div></div>
<div class="ttc" id="quantized_8hpp_xhtml"><div class="ttname"><a href="quantized_8hpp.xhtml">quantized.hpp</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_aa7cfff39cbb2be65cd40042a75e5ae1c"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c">arm_gemm::QuantizeWrapper::B_pretranspose_required</a></div><div class="ttdeci">bool B_pretranspose_required() const override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00200">quantize_wrapper.hpp:200</a></div></div>
<div class="ttc" id="classarm__gemm_1_1barrier_xhtml"><div class="ttname"><a href="classarm__gemm_1_1barrier.xhtml">arm_gemm::barrier</a></div><div class="ttdef"><b>Definition:</b> <a href="barrier_8hpp_source.xhtml#l00032">barrier.hpp:32</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_ac5dec5063a75604fdc60555f15577b94"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#ac5dec5063a75604fdc60555f15577b94">arm_gemm::QuantizeWrapper::B_is_pretransposed</a></div><div class="ttdeci">bool B_is_pretransposed() const override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00195">quantize_wrapper.hpp:195</a></div></div>
<div class="ttc" id="classarm__gemm_1_1_quantize_wrapper_xhtml_a0b21ce5febc3f7eed9c7b37c0b9a3560"><div class="ttname"><a href="classarm__gemm_1_1_quantize_wrapper.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560">arm_gemm::QuantizeWrapper::execute</a></div><div class="ttdeci">void execute(unsigned int start, unsigned int end, int threadid) override</div><div class="ttdef"><b>Definition:</b> <a href="quantize__wrapper_8hpp_source.xhtml#l00161">quantize_wrapper.hpp:161</a></div></div>
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