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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 8140e1e155d3430992fa46e04ef8938ff09ffd2d / . / documentation / softmax__layer_8cl_source.xhtml
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Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]120<a href="softmax__layer_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</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="fixed__point_8h.xhtml">fixed_point.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#define MAX_OP(x, y, type, size) MAX_OP_EXPAND(x, y, type, size)</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#define ADD_OP(x, y, type, size) ADD_SAT_OP_EXPAND((x), (y), type, size)</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#define SUB_OP(x, y, type, size) SUB_SAT_OP_EXPAND((x), (y), type, size)</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#define MUL_OP(x, y, type, size) MUL_SAT_OP_EXPAND((x), (y), type, size, FIXED_POINT_POSITION)</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#define DIV_OP(x, y, type, size) DIV_SAT_OP_VEC_EXPAND((x), (y), type, size, FIXED_POINT_POSITION)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#define EXP_OP(x, type, size) EXP_OP_EXPAND((x), type, size, FIXED_POINT_POSITION)</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#define MIN_VAL_EXPAND(type) type##_MIN</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#define MIN_VAL(type) MIN_VAL_EXPAND(type)</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#define MINVAL MIN_VAL(DATA_TYPE)</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#define SELECT_DATA_TYPE EXPAND(DATA_TYPE)</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01"> 43</a></span>&#160;<span class="preprocessor">#define MAX_OP(x, y, type, size) max((x), (y))</span></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88"> 44</a></span>&#160;<span class="preprocessor">#define ADD_OP(x, y, type, size) ((x) + (y))</span></div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e"> 45</a></span>&#160;<span class="preprocessor">#define SUB_OP(x, y, type, size) ((x) - (y))</span></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d"> 46</a></span>&#160;<span class="preprocessor">#define MUL_OP(x, y, type, size) ((x) * (y))</span></div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8"> 47</a></span>&#160;<span class="preprocessor">#define DIV_OP(x, y, type, size) ((x) / (y))</span></div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234"> 48</a></span>&#160;<span class="preprocessor">#define EXP_OP(x, type, size) exp((x))</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="preprocessor">#ifdef USE_F16</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="preprocessor">#define MINVAL -HALF_MAX</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="preprocessor">#define SELECT_DATA_TYPE short</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126"> 54</a></span>&#160;<span class="preprocessor">#define MINVAL -FLT_MAX</span></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170"> 55</a></span>&#160;<span class="preprocessor">#define SELECT_DATA_TYPE int</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></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;<span class="preprocessor">#endif </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment">/* Number of workitems in dimension 0. */</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="preprocessor">#if !defined(GRID_SIZE)</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f"> 62</a></span>&#160;<span class="preprocessor">#define GRID_SIZE 1</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* !defined(GRID_SIZE) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment">/* Vector size, i.e. number of vector elements. */</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="preprocessor">#if VECTOR_SIZE == 2</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;__constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;__constant uint2 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint2)(0, 1);</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="preprocessor">#elif VECTOR_SIZE == 4</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;__constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))(MINVAL);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;__constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="preprocessor">#elif VECTOR_SIZE == 8</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;__constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 8) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 8))(MINVAL);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;__constant uint8 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint8)(0, 1, 2, 3, 4, 5, 6, 7);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* VECTOR_SIZE DEFAULT */</span><span class="preprocessor"></span></div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f"> 79</a></span>&#160;<span class="preprocessor">#define VECTOR_SIZE 16</span></div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64"> 80</a></span>&#160;<span class="preprocessor">#define LOG_VECTOR_SIZE 4</span></div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b"> 81</a></span>&#160;__constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))(MINVAL);</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9"> 82</a></span>&#160;__constant uint16 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint16)(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15);</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="preprocessor">#endif </span><span class="comment">/* VECTOR_SIZE END */</span><span class="preprocessor"></span></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"><a class="line" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec"> 86</a></span>&#160;__constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16) <a class="code" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec">type_min</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))(MINVAL);</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad"> 87</a></span>&#160;__constant uint16 <a class="code" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad">idx16</a> = (uint16)(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15);</div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb"> 88</a></span>&#160;__constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a9e86f72ca0d249cb88c36bd50620da8a"> 114</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="softmax__layer_8cl.xhtml#a9e86f72ca0d249cb88c36bd50620da8a">softmax_layer_max</a>(</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; uint width)</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</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; <span class="comment">// Initialize local maximum</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; max_val = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))<a class="code" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec">type_min</a>;</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; <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> uint width4 = width &gt;&gt; 4;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; width4; i++)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; data = vload16(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i &lt;&lt; 4, 0));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; max_val = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data, max_val, DATA_TYPE, 16);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_16</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="comment">// Handle non multiple of 16</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; data = vload16(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, width4 &lt;&lt; 4, 0));</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 16)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(((uint16)(width4 &lt;&lt; 4) + <a class="code" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad">idx16</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 16));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; max_val = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val, select(<a class="code" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec">type_min</a>, data, widx), DATA_TYPE, 16);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; max_val.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val.s01234567, max_val.s89ABCDEF, DATA_TYPE, 8);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; max_val.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val.s0123, max_val.s4567, DATA_TYPE, 4);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; max_val.s01 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val.s01, max_val.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; max_val.s0 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val.s0, max_val.s1, DATA_TYPE, 1);</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; <span class="comment">// Store result</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; *((__global DATA_TYPE *)dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = max_val.s0;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;}</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#aa4412bb319c67deaeab07a481d93dfdb"> 196</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="softmax__layer_8cl.xhtml#aa4412bb319c67deaeab07a481d93dfdb">softmax_layer_shift_exp_sum</a>(</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>),</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; uint width)</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; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(max);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(sum);</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;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))BETA;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></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="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; DATA_TYPE max_val = *((__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;max, 0, 0));</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; <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; sum1D = 0;</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; <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keyword">const</span> uint width4 = width &gt;&gt; 4;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; width4; i++)</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"> 225</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; data = vload16(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i &lt;&lt; 4, 0));</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, 16);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, 16);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 16);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; vstore16(data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, i &lt;&lt; 4, 0));</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 16);</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"> 235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_16</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="comment">// Handle non multiple of 16</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; data = vload16(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, width4 &lt;&lt; 4, 0));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, 16);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, 16);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 16);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 16)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(((uint16)(width4 &lt;&lt; 4) + <a class="code" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad">idx16</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 16));</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; data = select(0, data, widx);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; vstore16(data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, width4 &lt;&lt; 4, 0));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 16);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="comment">// Perform min/max reduction</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; sum1D.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01234567, sum1D.s89ABCDEF, DATA_TYPE, 8);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; sum1D.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0123, sum1D.s4567, DATA_TYPE, 4);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; sum1D.s01 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01, sum1D.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; sum1D.s0 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0, sum1D.s1, DATA_TYPE, 1);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="comment">// Calculate and store result</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; *((__global DATA_TYPE *)sum.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = sum1D.s0;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;}</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;</div><div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c"> 292</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c">softmax_layer_norm</a>(</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;{</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="helpers_8h.xhtml#a071aa45af973feac43b14f62e54a6fce">CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP</a>(sum);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; DATA_TYPE sum_val = *((__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;sum, 0, get_global_id(1)));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; data = vload16(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, 0, 0));</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; vstore16(<a class="code" href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8">DIV_OP</a>(data, sum_val, DATA_TYPE, 16), 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, 0, 0));</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;}</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;</div><div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc"> 350</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc">softmax_layer_max_shift_exp_sum_serial</a>(</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; uint width)</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; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(sum);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>))BETA;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="comment">// Initialize local maximum</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; max_val_vec = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>))<a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a>;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <span class="keyword">const</span> uint width_ = width &gt;&gt; <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; width_; i++)</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; data_max = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</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;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; data_max = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, width_ &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ &lt;&lt; LOG_VECTOR_SIZE) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>));</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec, select(<a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a>, data_max, widx), DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; max_val_vec.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01234567, max_val_vec.s89ABCDEF, DATA_TYPE, 8);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;<span class="preprocessor">#if VECTOR_SIZE &gt;= 8</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; max_val_vec.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0123, max_val_vec.s4567, DATA_TYPE, 4);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;<span class="preprocessor">#if VECTOR_SIZE &gt;= 4</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; max_val_vec.s01 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01, max_val_vec.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; max_val_vec.s0 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0, max_val_vec.s1, DATA_TYPE, 1);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; *((__global DATA_TYPE *)maxo.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = max_val_vec.s0;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; <span class="comment">/* Second section */</span></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; <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; DATA_TYPE max_val = *((__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;maxo, 0, 0));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; sum1D = 0;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; width_; i++)</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; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; data = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; (data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, i &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; data = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, width_ &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ &lt;&lt; LOG_VECTOR_SIZE) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>));</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; data = select(0, data, widx);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; (data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, width_ &lt;&lt; LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <span class="comment">// Perform sum reduction</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160;<span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; sum1D.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01234567, sum1D.s89ABCDEF, DATA_TYPE, 8);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;<span class="preprocessor">#if VECTOR_SIZE &gt;= 8</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; sum1D.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0123, sum1D.s4567, DATA_TYPE, 4);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160;<span class="preprocessor">#if VECTOR_SIZE &gt;= 4</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; sum1D.s01 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01, sum1D.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; sum1D.s0 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0, sum1D.s1, DATA_TYPE, 1);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <span class="comment">// Calculate and store result</span></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; *((__global DATA_TYPE *)sum.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = sum1D.s0;</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;</div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5"> 500</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5">softmax_layer_max_shift_exp_sum_parallel</a>(</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; uint width)</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; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(sum);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="keyword">const</span> uint lid = get_local_id(0);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))BETA;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <span class="comment">// Define one temporary vector per work-item.</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; __local <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4) tmp_local[<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>];</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; __local DATA_TYPE max_local;</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; __constant <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4) type_min4 = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))(MINVAL);</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; max_val_vec = (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))type_min4;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="comment">// Number of elements per work-item.</span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <span class="keyword">const</span> uint row = width / <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; <span class="comment">// Number of iterations per work-item.</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; <span class="keyword">const</span> uint width_ = row &gt;&gt; 2;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; uint i = 0;</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <span class="keywordflow">for</span>(; i &lt; width_; i++)</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; {</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; data_max = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, DATA_TYPE, 4);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; }</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <span class="comment">// How many work-items needed to complete the computation.</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <span class="keywordtype">int</span> boundary_workitems = (width % (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4)) / 4;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <span class="keywordflow">if</span>(lid &lt; boundary_workitems)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; data_max = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, DATA_TYPE, 4);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; i--;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</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; <span class="comment">// Handle non multiple of 4</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; data_max = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 4)</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(((uint4)(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + boundary_workitems * 4 + <a class="code" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 4));</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec, select(<a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a>, data_max, widx), DATA_TYPE, 4);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; tmp_local[lid] = max_val_vec;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 256)</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; {</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; <span class="keywordflow">if</span>(lid &lt; 128)</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 128], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</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; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 128)</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; {</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; <span class="keywordflow">if</span>(lid &lt; 64)</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; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 64], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 64)</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="keywordflow">if</span>(lid &lt; 32)</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; {</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 32], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; }</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</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="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 32)</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; {</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <span class="keywordflow">if</span>(lid &lt; 16)</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; {</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 16], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; }</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; }</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 16)</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; {</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <span class="keywordflow">if</span>(lid &lt; 8)</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 8], tmp_local[lid], DATA_TYPE, 4);</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 8)</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; {</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; <span class="keywordflow">if</span>(lid &lt; 4)</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; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 4], tmp_local[lid], DATA_TYPE, 4);</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; }</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 4)</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; {</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; <span class="keywordflow">if</span>(lid &lt; 2)</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 2], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; }</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; {</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 1], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; max_val_vec.s01 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01, max_val_vec.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; max_val_vec.s0 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0, max_val_vec.s1, DATA_TYPE, 1);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; max_local = max_val_vec.s0;</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; <span class="comment">/* Second section */</span></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; <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; sum1D = 0;</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; DATA_TYPE max_val = max_local;</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="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; <span class="keywordflow">for</span>(i = 0; i &lt; width_; i++)</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; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; data = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, 4);</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, 4);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* 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name="l00655"></a><span class="lineno"> 655</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; boundary_workitems = (width % (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4)) / 4;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; <span class="keywordflow">if</span>(lid &lt; boundary_workitems)</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; {</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; data = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, 4);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, 4);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 4);</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; (data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, i * GRID_SIZE * 4, 0));</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 4);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; }</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160;<span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; {</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; i--;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; }</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; {</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; <span class="comment">// Handle non multiple of vector size ((GRID_SIZE * i * 4) + 4, 0); move 4 float positions ahead, *4 is due to the stride</span></div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; data = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, DATA_TYPE, 4);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160;<span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>, DATA_TYPE, 4);</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 4);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 4)</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; widx = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(((uint4)(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + boundary_workitems * 4 + <a class="code" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a>) &lt; width, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a>, 4));</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; data = select(0, data, widx);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; (data, 0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;dst, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 4);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; }</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; tmp_local[lid] = sum1D;</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; barrier(CLK_LOCAL_MEM_FENCE);</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; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 256)</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; {</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <span class="keywordflow">if</span>(lid &lt; 128)</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; {</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 128], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; }</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</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">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 128)</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; <span class="keywordflow">if</span>(lid &lt; 64)</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; {</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 64], tmp_local[lid], DATA_TYPE, 4);</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; }</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 64)</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160; {</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; <span class="keywordflow">if</span>(lid &lt; 32)</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160; {</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 32], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160; }</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160; }</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 32)</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160; {</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160; <span class="keywordflow">if</span>(lid &lt; 16)</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; {</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 16], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160; }</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 16)</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; <span class="keywordflow">if</span>(lid &lt; 8)</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; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 8], tmp_local[lid], DATA_TYPE, 4);</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; }</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 8)</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; <span class="keywordflow">if</span>(lid &lt; 4)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; {</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 4], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; }</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; }</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> &gt;= 4)</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; {</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160; <span class="keywordflow">if</span>(lid &lt; 2)</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; tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 2], tmp_local[lid], DATA_TYPE, 4);</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; barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; }</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; {</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 1], tmp_local[lid], DATA_TYPE, 4);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; sum1D.s01 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01, sum1D.s23, DATA_TYPE, 2);</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; sum1D.s0 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0, sum1D.s1, DATA_TYPE, 1);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; *((__global DATA_TYPE *)sum.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = sum1D.s0;</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; }</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160;}</div><div class="ttc" id="helpers_8h_xhtml_a071aa45af973feac43b14f62e54a6fce"><div class="ttname"><a href="helpers_8h.xhtml#a071aa45af973feac43b14f62e54a6fce">CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00111">helpers.h:111</a></div></div>
121<div class="ttc" id="softmax__layer_8cl_xhtml_aa1dd94b8d98f1c6d790bdf0fc5de29e9"><div class="ttname"><a href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a></div><div class="ttdeci">__constant uint16 idx__</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00082">softmax_layer.cl:82</a></div></div>
122<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">GEMM.cpp:109</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]123<div class="ttc" id="fixed__point_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00098">fixed_point.h:98</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]124<div class="ttc" id="helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00040">helpers.h:40</a></div></div>
125<div class="ttc" id="softmax__layer_8cl_xhtml_aa4412bb319c67deaeab07a481d93dfdb"><div class="ttname"><a href="softmax__layer_8cl.xhtml#aa4412bb319c67deaeab07a481d93dfdb">softmax_layer_shift_exp_sum</a></div><div class="ttdeci">__kernel void softmax_layer_shift_exp_sum(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *max_ptr, uint max_stride_x, uint max_step_x, uint max_stride_y, uint max_step_y, uint max_stride_z, uint max_step_z, uint max_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_stride_z, uint sum_step_z, uint sum_offset_first_element_in_bytes, uint width)</div><div class="ttdoc">Shifts the values of the input tensor by the max calculated in softmax_layer_max kernel, then gets the exponent of each element as sums all elements across each row. </div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00196">softmax_layer.cl:196</a></div></div>
126<div class="ttc" id="softmax__layer_8cl_xhtml_a93cf800667317d96574477b9f0a75234"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a></div><div class="ttdeci">#define EXP_OP(x, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00048">softmax_layer.cl:48</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]127<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>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]128<div class="ttc" id="softmax__layer_8cl_xhtml_a9e86f72ca0d249cb88c36bd50620da8a"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a9e86f72ca0d249cb88c36bd50620da8a">softmax_layer_max</a></div><div class="ttdeci">__kernel void softmax_layer_max(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, uint width)</div><div class="ttdoc">Identifies the maximum value across the 1st dimension. </div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00114">softmax_layer.cl:114</a></div></div>
129<div class="ttc" id="softmax__layer_8cl_xhtml_a372393c380805985b813dbb16d589a64"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a></div><div class="ttdeci">#define LOG_VECTOR_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00080">softmax_layer.cl:80</a></div></div>
130<div class="ttc" id="softmax__layer_8cl_xhtml_abaa48ad818c44e415fd3f9dd0f27bf01"><div class="ttname"><a href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a></div><div class="ttdeci">#define MAX_OP(x, y, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00043">softmax_layer.cl:43</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]131<div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]132<div class="ttc" id="softmax__layer_8cl_xhtml_af7a08044d0e491a0ee1520a24a107a2b"><div class="ttname"><a href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a></div><div class="ttdeci">__constant DATA_TYPE16 type_min_</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00081">softmax_layer.cl:81</a></div></div>
133<div class="ttc" id="softmax__layer_8cl_xhtml_a44206a4e5783c7aabacec88aad878c88"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a></div><div class="ttdeci">#define ADD_OP(x, y, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00044">softmax_layer.cl:44</a></div></div>
134<div class="ttc" id="softmax__layer_8cl_xhtml_a8cde99b1ce0f3c1dacd49261b0cf03d8"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8">DIV_OP</a></div><div class="ttdeci">#define DIV_OP(x, y, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00047">softmax_layer.cl:47</a></div></div>
135<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
136<div class="ttc" id="helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00043">helpers.h:43</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]137<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]138<div class="ttc" id="softmax__layer_8cl_xhtml_ac4247ac0991e85965b7ded764e78f12c"><div class="ttname"><a href="softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c">softmax_layer_norm</a></div><div class="ttdeci">__kernel void softmax_layer_norm(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_stride_z, uint sum_step_z, uint sum_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes)</div><div class="ttdoc">Divides all the values of the input tensor by the sum calculated from softmax_layer_shift_exp_sum ker...</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00292">softmax_layer.cl:292</a></div></div>
139<div class="ttc" id="softmax__layer_8cl_xhtml_a7c78836761fa3b5b124efea237dac70f"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a></div><div class="ttdeci">#define VECTOR_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00079">softmax_layer.cl:79</a></div></div>
140<div class="ttc" id="softmax__layer_8cl_xhtml_af5b2e33e3c5fcaab3a213f26c2300170"><div class="ttname"><a href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170">SELECT_DATA_TYPE</a></div><div class="ttdeci">#define SELECT_DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00055">softmax_layer.cl:55</a></div></div>
141<div class="ttc" id="softmax__layer_8cl_xhtml_a82bc360279fcf7cf8033dca6022f21f5"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5">softmax_layer_max_shift_exp_sum_parallel</a></div><div class="ttdeci">__kernel void softmax_layer_max_shift_exp_sum_parallel(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *maxo_ptr, uint maxo_stride_x, uint maxo_step_x, uint maxo_stride_y, uint maxo_step_y, uint maxo_stride_z, uint maxo_step_z, uint maxo_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_stride_z, uint sum_step_z, uint sum_offset_first_element_in_bytes, uint width)</div><div class="ttdoc">Identifies the maximum value across the 1st dimension and shifts the values of the input tensor by th...</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00500">softmax_layer.cl:500</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]142<div class="ttc" id="fixed__point_8h_xhtml"><div class="ttname"><a href="fixed__point_8h.xhtml">fixed_point.h</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]143<div class="ttc" id="softmax__layer_8cl_xhtml_a4884a666a1e93fbf8c27bd7d2da3c8bb"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a></div><div class="ttdeci">__constant uint4 idx4</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00088">softmax_layer.cl:88</a></div></div>
144<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">Tensor dst</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">GEMM.cpp:118</a></div></div>
145<div class="ttc" id="softmax__layer_8cl_xhtml_a22303c4047ec5027c1538d53964b9d0d"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a></div><div class="ttdeci">#define MUL_OP(x, y, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00046">softmax_layer.cl:46</a></div></div>
146<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00140">helpers.h:140</a></div></div>
147<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00074">helpers.h:74</a></div></div>
148<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::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="helpers_8h_source.xhtml#l00142">helpers.h:142</a></div></div>
149<div class="ttc" id="helpers_8h_xhtml_a0f6ad555d097377151003a5119ccee45"><div class="ttname"><a href="helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a></div><div class="ttdeci">#define CL_VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00049">helpers.h:49</a></div></div>
150<div class="ttc" id="softmax__layer_8cl_xhtml_ac3af2d18008cbbf7247ae48fcd6e0c4e"><div class="ttname"><a href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a></div><div class="ttdeci">#define SUB_OP(x, y, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00045">softmax_layer.cl:45</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]151<div class="ttc" id="fixed__point_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00093">fixed_point.h:93</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]152<div class="ttc" id="softmax__layer_8cl_xhtml_a0712735973f172ac9efc7d48a31e47ad"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad">idx16</a></div><div class="ttdeci">__constant uint16 idx16</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00087">softmax_layer.cl:87</a></div></div>
153<div class="ttc" id="softmax__layer_8cl_xhtml_a80b22c555ddadb47cc6ca338a9c49126"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a></div><div class="ttdeci">#define MINVAL</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00054">softmax_layer.cl:54</a></div></div>
154<div class="ttc" id="helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00114">helpers.h:114</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]155<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div>
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]156<div class="ttc" id="helpers_8h_xhtml_ae4b532a93c757194ec73b6790a3e6b1f"><div class="ttname"><a href="helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a></div><div class="ttdeci">#define EXPAND(x)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00035">helpers.h:35</a></div></div>
157<div class="ttc" id="softmax__layer_8cl_xhtml_a08246606c233e7785a497c09672f366f"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a></div><div class="ttdeci">#define GRID_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00062">softmax_layer.cl:62</a></div></div>
158<div class="ttc" id="softmax__layer_8cl_xhtml_a538b4b63f40e7b12891774e03a4f0dec"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec">type_min</a></div><div class="ttdeci">__constant DATA_TYPE16 type_min</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00086">softmax_layer.cl:86</a></div></div>
159<div class="ttc" id="softmax__layer_8cl_xhtml_a9d74601bcabbb2f14bcf52385ad666dc"><div class="ttname"><a href="softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc">softmax_layer_max_shift_exp_sum_serial</a></div><div class="ttdeci">__kernel void softmax_layer_max_shift_exp_sum_serial(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *maxo_ptr, uint maxo_stride_x, uint maxo_step_x, uint maxo_stride_y, uint maxo_step_y, uint maxo_stride_z, uint maxo_step_z, uint maxo_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_stride_z, uint sum_step_z, uint sum_offset_first_element_in_bytes, uint width)</div><div class="ttdoc">Identifies the maximum value across the 1st dimension and shifts the values of the input tensor by th...</div><div class="ttdef"><b>Definition:</b> <a href="softmax__layer_8cl_source.xhtml#l00350">softmax_layer.cl:350</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]160</div><!-- fragment --></div><!-- contents -->
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Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]165 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_aebb8dcc11953d78e620bbef0b9e2183.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_8c278f79c760e5c5fbd911f9870614c1.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_25885286e9dad4fa105b7b25a8031bbf.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="softmax__layer_8cl.xhtml">softmax_layer.cl</a></li>
166 <li class="footer">Generated on Thu Dec 14 2017 23:48:32 for Compute Library by
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Anthony Barbier8140e1e2017-12-14 23:48:46 +0000[diff] [blame^]168 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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