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| <div class="title">activation_layer_qa8.cl</div> </div> |
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| <a href="activation__layer__qa8_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <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> <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> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <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> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <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> <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> <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> <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> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b"> 26</a></span> <span class="preprocessor">#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c"> 27</a></span> <span class="preprocessor">#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// RELU Activation</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a75e592782269093560081144973b1227"> 30</a></span> <span class="keyword">inline</span> <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> <a class="code" href="activation__layer__qa8_8cl.xhtml#a75e592782269093560081144973b1227">relu_op</a>(<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> x)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> max((<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a>)CONST_0, x);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> }</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// Bounded RELU Activation</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#aceaec5c948eb4a004fad33f4c769882a"> 35</a></span> <span class="keyword">inline</span> <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> <a class="code" href="activation__layer__qa8_8cl.xhtml#aceaec5c948eb4a004fad33f4c769882a">brelu_op</a>(<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> x)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> min((<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a>)A_VAL, max(CONST_0, x));</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> }</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment">// Lower Upper Bounded RELU Activation</span></div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a979d1d0d0b9b9595f467d94b1c22faea"> 40</a></span> <span class="keyword">inline</span> <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> <a class="code" href="activation__layer__qa8_8cl.xhtml#a979d1d0d0b9b9595f467d94b1c22faea">lu_brelu_op</a>(<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> x)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> min(max(x, (<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a>)B_VAL), (<a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a>)A_VAL);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#ab13ec269b92f52bb2f1f6dcf12956704"> 45</a></span> <span class="preprocessor">#define ACTIVATION_OP2(op, x) op##_op(x)</span></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a5a310089a4e6b6de57a075a9bd4ced82"> 46</a></span> <span class="preprocessor">#define ACTIVATION_OP(op, x) ACTIVATION_OP2(op, x)</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#if defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#define PERFORM_ACTIVATION_QA8(act, data) \</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor"> data = ACTIVATION_OP(act, data); \</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"> VEC_DATA_TYPE(float, VEC_SIZE) \</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor"> fdata = CONVERT(data, VEC_DATA_TYPE(float, VEC_SIZE)); \</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> fdata = round((fdata - (float)O1_VAL) * ((float)S1_VAL / (float)S2_VAL) + (float)O2_VAL); \</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> data = CONVERT_SAT(fdata, VEC_DATA_TYPE(uchar, VEC_SIZE)); \</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#else </span><span class="comment">/* defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#ae267af0805256476a63c9daed503a671"> 60</a></span> <span class="preprocessor">#define PERFORM_ACTIVATION_QA8(act, data) \</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> data = ACTIVATION_OP(act, data); \</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor">#if defined(ACT)</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> __kernel <span class="keywordtype">void</span> activation_layer_qa8(</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> #ifndef IN_PLACE</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  ,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> #endif <span class="comment">/* not IN_PLACE */</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> )</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  data = <a class="code" href="activation__layer__qa8_8cl.xhtml#ae267af0805256476a63c9daed503a671">PERFORM_ACTIVATION_QA8</a>(ACT, data);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(ACT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="preprocessor">#if defined(O2_VAL) && defined(S2_VAL)</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor">#define OFFSET_OUT O2_VAL</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor">#define SCALE_OUT S2_VAL</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#else // defined(O2_VAL) && defined(S2_VAL)</span></div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#ae6008da94300b9fd595c9b708bade271"> 129</a></span> <span class="preprocessor">#define OFFSET_OUT O1_VAL</span></div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a814d8a020b304f2ad69204ca56d76e4f"> 130</a></span> <span class="preprocessor">#define SCALE_OUT S1_VAL</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#endif // defined(O2_VAL) && defined(S2_VAL)</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="activation__layer__qa8_8cl.xhtml#a50bf6cff7ebeaf08c0ec368a07e147df"> 161</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="activation__layer__qa8_8cl.xhtml#a50bf6cff7ebeaf08c0ec368a07e147df">activation_layer_logistic_qa8</a>(</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> #ifndef IN_PLACE</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  ,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> #endif <span class="comment">/* not IN_PLACE */</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> )</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> data_flt = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(data, <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  data_flt = <a class="code" href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">round</a>(data_flt - (<span class="keywordtype">float</span>)O1_VAL) * ((float)S1_VAL);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  data_flt = 1.f / (1.f + exp(-data_flt));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  data = <a class="code" href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a>(<a class="code" href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">round</a>(data_flt / ((<span class="keywordtype">float</span>)<a class="code" href="activation__layer__qa8_8cl.xhtml#a814d8a020b304f2ad69204ca56d76e4f">SCALE_OUT</a>)) + (<span class="keywordtype">float</span>)<a class="code" href="activation__layer__qa8_8cl.xhtml#ae6008da94300b9fd595c9b708bade271">OFFSET_OUT</a>, <a class="code" href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00063">helpers.h:63</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_a75e592782269093560081144973b1227"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#a75e592782269093560081144973b1227">relu_op</a></div><div class="ttdeci">DATA_TYPEVEC_SIZE relu_op(DATA_TYPEVEC_SIZE x)</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00030">activation_layer_qa8.cl:30</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_a5a392548f2df67370cb15d2a5d75cd7b"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a></div><div class="ttdeci">#define TYPE</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00026">activation_layer_qa8.cl:26</a></div></div> |
| <div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div> |
| <div class="ttc" id="direct__convolution1x1_8cl_xhtml_a1f15728672380ade7a238f5e783d54d2"><div class="ttname"><a href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a></div><div class="ttdeci">#define CONVERT_SAT(a, b)</div><div class="ttdef"><b>Definition:</b> <a href="direct__convolution1x1_8cl_source.xhtml#l00030">direct_convolution1x1.cl:30</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_ae6008da94300b9fd595c9b708bade271"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#ae6008da94300b9fd595c9b708bade271">OFFSET_OUT</a></div><div class="ttdeci">#define OFFSET_OUT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00129">activation_layer_qa8.cl:129</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00160">helpers.h:160</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_ae267af0805256476a63c9daed503a671"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#ae267af0805256476a63c9daed503a671">PERFORM_ACTIVATION_QA8</a></div><div class="ttdeci">#define PERFORM_ACTIVATION_QA8(act, data)</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00060">activation_layer_qa8.cl:60</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_aceaec5c948eb4a004fad33f4c769882a"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#aceaec5c948eb4a004fad33f4c769882a">brelu_op</a></div><div class="ttdeci">DATA_TYPEVEC_SIZE brelu_op(DATA_TYPEVEC_SIZE x)</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00035">activation_layer_qa8.cl:35</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_a50bf6cff7ebeaf08c0ec368a07e147df"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#a50bf6cff7ebeaf08c0ec368a07e147df">activation_layer_logistic_qa8</a></div><div class="ttdeci">__kernel void activation_layer_logistic_qa8(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</div><div class="ttdoc">This performs a Logistic activation function on QASYMM8 inputs.</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00161">activation_layer_qa8.cl:161</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_a979d1d0d0b9b9595f467d94b1c22faea"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#a979d1d0d0b9b9595f467d94b1c22faea">lu_brelu_op</a></div><div class="ttdeci">DATA_TYPEVEC_SIZE lu_brelu_op(DATA_TYPEVEC_SIZE x)</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00040">activation_layer_qa8.cl:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aaae2b6b1c3f4404121346a4c27b22647"><div class="ttname"><a href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">arm_compute::round</a></div><div class="ttdeci">int round(float x, RoundingPolicy rounding_policy)</div><div class="ttdoc">Return a rounded value of x.</div><div class="ttdef"><b>Definition:</b> <a href="_rounding_8cpp_source.xhtml#l00035">Rounding.cpp:35</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00128">helpers.h:128</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">helpers.h:51</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00162">helpers.h:162</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">helpers.h:48</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_a814d8a020b304f2ad69204ca56d76e4f"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#a814d8a020b304f2ad69204ca56d76e4f">SCALE_OUT</a></div><div class="ttdeci">#define SCALE_OUT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00130">activation_layer_qa8.cl:130</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00085">helpers.h:85</a></div></div> |
| <div class="ttc" id="activation__layer__qa8_8cl_xhtml_ade2e33e6f303ce93468eef7e56d95c0c"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a></div><div class="ttdeci">#define VEC_FLOAT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00027">activation_layer_qa8.cl:27</a></div></div> |
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