arm_compute v19.02
Change-Id: I853a3ecf38f206da13c1b03640c8adf73c20477c
diff --git a/documentation/softmax__layer_8cl_source.xhtml b/documentation/softmax__layer_8cl_source.xhtml
index ed2f943..c8c1a13 100644
--- a/documentation/softmax__layer_8cl_source.xhtml
+++ b/documentation/softmax__layer_8cl_source.xhtml
@@ -1,10 +1,11 @@
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<title>Compute Library: src/core/CL/cl_kernels/softmax_layer.cl Source File</title>
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@@ -15,8 +16,9 @@
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@@ -25,8 +27,9 @@
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@@ -34,9 +37,10 @@
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+ <img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
- <div id="projectname">Compute Library
-  <span id="projectnumber">18.11</span>
+ <div id="projectname">
+  <span id="projectnumber">19.02</span>
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@@ -44,18 +48,21 @@
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@@ -69,7 +76,9 @@
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$(document).ready(function(){initNavTree('softmax__layer_8cl_source.xhtml','');});
+/* @license-end */
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@@ -91,30 +100,31 @@
<div class="title">softmax_layer.cl</div> </div>
</div><!--header-->
<div class="contents">
-<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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01"> 26</a></span> <span class="preprocessor">#define MAX_OP(x, y, type, size) max((x), (y))</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88"> 27</a></span> <span class="preprocessor">#define ADD_OP(x, y, type, size) ((x) + (y))</span></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e"> 28</a></span> <span class="preprocessor">#define SUB_OP(x, y, type, size) ((x) - (y))</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d"> 29</a></span> <span class="preprocessor">#define MUL_OP(x, y, type, size) ((x) * (y))</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8"> 30</a></span> <span class="preprocessor">#define DIV_OP(x, y, type, size) ((x) / (y))</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234"> 31</a></span> <span class="preprocessor">#define EXP_OP(x, type, size) exp((x))</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#ifdef USE_F16</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#define MINVAL -HALF_MAX</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#define SELECT_DATA_TYPE short</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#else </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126"> 37</a></span> <span class="preprocessor">#define MINVAL -FLT_MAX</span></div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170"> 38</a></span> <span class="preprocessor">#define SELECT_DATA_TYPE int</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">/* Number of workitems in dimension 0. */</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#if !defined(GRID_SIZE)</span></div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f"> 43</a></span> <span class="preprocessor">#define GRID_SIZE 1</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#endif </span><span class="comment">/* !defined(GRID_SIZE) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">/* Vector size, i.e. number of vector elements. */</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#if VECTOR_SIZE == 2</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00049"></a><span class="lineno"> 49</span> __constant uint2 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint2)(0, 1);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#elif VECTOR_SIZE == 4</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))(MINVAL);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> __constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#elif VECTOR_SIZE == 8</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 8))(MINVAL);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> __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="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#else </span><span class="comment">/* VECTOR_SIZE DEFAULT */</span><span class="preprocessor"></span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f"> 60</a></span> <span class="preprocessor">#define VECTOR_SIZE 16</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64"> 61</a></span> <span class="preprocessor">#define LOG_VECTOR_SIZE 4</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b"> 62</a></span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))(MINVAL);</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9"> 63</a></span> __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="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR_SIZE END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment">// TODO (COMPMID-661): Remove if the non-fused kernels are removed</span></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec"> 68</a></span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))(MINVAL);</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad"> 69</a></span> __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="l00070"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb"> 70</a></span> __constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c"> 101</a></span> __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="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="struct_image.xhtml">Image</a> sum = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a071aa45af973feac43b14f62e54a6fce">CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP</a>(sum);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  DATA_TYPE sum_val = *((__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&sum, 0, get_global_id(1)));</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  data = vload16(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, 0, 0));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc"> 158</a></span> __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="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  uint width)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(sum);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Initialize local maximum</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00178"></a><span class="lineno"> 178</span>  max_val_vec = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> uint width_ = width >> <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">for</span>(uint i = 0; i < width_; i++)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00185"></a><span class="lineno"> 185</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  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="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00191"></a><span class="lineno"> 191</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, width_ << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00193"></a><span class="lineno"> 193</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ << LOG_VECTOR_SIZE) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00194"></a><span class="lineno"> 194</span>  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="l00195"></a><span class="lineno"> 195</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  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="l00200"></a><span class="lineno"> 200</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="preprocessor">#if VECTOR_SIZE >= 8</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  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="l00203"></a><span class="lineno"> 203</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="preprocessor">#if VECTOR_SIZE >= 4</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  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="l00206"></a><span class="lineno"> 206</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  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="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  *((__global DATA_TYPE *)maxo.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = max_val_vec.s0;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">/* Second section */</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  DATA_TYPE max_val = *((__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&maxo, 0, 0));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00218"></a><span class="lineno"> 218</span>  sum1D = 0;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">for</span>(uint i = 0; i < width_; i++)</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00224"></a><span class="lineno"> 224</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  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="l00226"></a><span class="lineno"> 226</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  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="l00228"></a><span class="lineno"> 228</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  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="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  (data, 0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, i << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  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="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00237"></a><span class="lineno"> 237</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, width_ << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  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="l00239"></a><span class="lineno"> 239</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  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="l00241"></a><span class="lineno"> 241</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  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="l00243"></a><span class="lineno"> 243</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ << LOG_VECTOR_SIZE) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00244"></a><span class="lineno"> 244</span>  data = select(0, data, widx);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  (data, 0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, width_ << LOG_VECTOR_SIZE, 0));</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  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="l00248"></a><span class="lineno"> 248</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// Perform sum reduction</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  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="l00253"></a><span class="lineno"> 253</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="preprocessor">#if VECTOR_SIZE >= 8</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  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="l00256"></a><span class="lineno"> 256</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="preprocessor">#if VECTOR_SIZE >= 4</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  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="l00259"></a><span class="lineno"> 259</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  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="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Calculate and store result</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  *((__global DATA_TYPE *)sum.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = sum1D.s0;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5"> 307</a></span> __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="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  uint width)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(sum);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> uint lid = get_local_id(0);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))BETA;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Define one temporary vector per work-item.</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  __local <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00329"></a><span class="lineno"> 329</span>  __local DATA_TYPE max_local;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4) type_min4 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))(MINVAL);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  max_val_vec = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4))type_min4;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Number of elements per work-item.</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <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="l00336"></a><span class="lineno"> 336</span>  <span class="comment">// Number of iterations per work-item.</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> uint width_ = row >> 2;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  uint i = 0;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">for</span>(; i < width_; i++)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  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="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// How many work-items needed to complete the computation.</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="comment">//TODO: Optimize this calculation (avoid %).</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <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="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span>(lid < boundary_workitems)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  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="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  i--;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="comment">// Handle non multiple of 4</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00368"></a><span class="lineno"> 368</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00369"></a><span class="lineno"> 369</span>  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="l00370"></a><span class="lineno"> 370</span>  }</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  tmp_local[lid] = max_val_vec;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 256)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">if</span>(lid < 128)</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  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="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 128)</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span>(lid < 64)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  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="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 64)</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">if</span>(lid < 32)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  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="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 32)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">if</span>(lid < 16)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  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="l00406"></a><span class="lineno"> 406</span>  }</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 16)</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">if</span>(lid < 8)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  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="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 8)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span>(lid < 4)</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  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="l00422"></a><span class="lineno"> 422</span>  }</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  }</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 4)</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">if</span>(lid < 2)</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  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="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  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="l00436"></a><span class="lineno"> 436</span>  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="l00437"></a><span class="lineno"> 437</span>  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="l00438"></a><span class="lineno"> 438</span>  max_local = max_val_vec.s0;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  }</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="comment">/* Second section */</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  sum1D = 0;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  DATA_TYPE max_val = max_local;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">for</span>(i = 0; i < width_; i++)</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  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="l00455"></a><span class="lineno"> 455</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  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="l00457"></a><span class="lineno"> 457</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 4);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  (data, 0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, i * GRID_SIZE * 4, 0));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 4);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">//TODO: Optimize the calculation (avoid %).</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  boundary_workitems = (width % (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4)) / 4;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">if</span>(lid < boundary_workitems)</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  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="l00471"></a><span class="lineno"> 471</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  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="l00473"></a><span class="lineno"> 473</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 4);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  (data, 0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, i * GRID_SIZE * 4, 0));</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 4);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  i--;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <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="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 4)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  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="l00491"></a><span class="lineno"> 491</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  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="l00493"></a><span class="lineno"> 493</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, DATA_TYPE, 4);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00496"></a><span class="lineno"> 496</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00497"></a><span class="lineno"> 497</span>  data = select(0, data, widx);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  (data, 0, (__global DATA_TYPE *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&dst, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, DATA_TYPE, 4);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  tmp_local[lid] = sum1D;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 256)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">if</span>(lid < 128)</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  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="l00513"></a><span class="lineno"> 513</span>  }</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 128)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span>(lid < 64)</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  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="l00521"></a><span class="lineno"> 521</span>  }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 64)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">if</span>(lid < 32)</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  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="l00529"></a><span class="lineno"> 529</span>  }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 32)</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span>(lid < 16)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  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="l00537"></a><span class="lineno"> 537</span>  }</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 16)</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span>(lid < 8)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  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="l00545"></a><span class="lineno"> 545</span>  }</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 8)</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  {</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">if</span>(lid < 4)</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  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="l00553"></a><span class="lineno"> 553</span>  }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 4)</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">if</span>(lid < 2)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  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="l00561"></a><span class="lineno"> 561</span>  }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  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="l00567"></a><span class="lineno"> 567</span>  <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  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="l00569"></a><span class="lineno"> 569</span>  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="l00570"></a><span class="lineno"> 570</span>  *((__global DATA_TYPE *)sum.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = sum1D.s0;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> }</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00309">helpers.h:309</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a071aa45af973feac43b14f62e54a6fce"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00119">helpers.h:119</a></div></div>
+<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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01"> 26</a></span> <span class="preprocessor">#define MAX_OP(x, y, type, size) max((x), (y))</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88"> 27</a></span> <span class="preprocessor">#define ADD_OP(x, y, type, size) ((x) + (y))</span></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e"> 28</a></span> <span class="preprocessor">#define SUB_OP(x, y, type, size) ((x) - (y))</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d"> 29</a></span> <span class="preprocessor">#define MUL_OP(x, y, type, size) ((x) * (y))</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8"> 30</a></span> <span class="preprocessor">#define DIV_OP(x, y, type, size) ((x) / (y))</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234"> 31</a></span> <span class="preprocessor">#define EXP_OP(x, type, size) exp((x))</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#ifdef USE_F16</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#define MINVAL -HALF_MAX</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#define SELECT_DATA_TYPE short</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#else </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126"> 37</a></span> <span class="preprocessor">#define MINVAL -FLT_MAX</span></div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170"> 38</a></span> <span class="preprocessor">#define SELECT_DATA_TYPE int</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif </span><span class="comment">/* USE_F16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">/* Number of workitems in dimension 0. */</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#if !defined(GRID_SIZE)</span></div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f"> 43</a></span> <span class="preprocessor">#define GRID_SIZE 1</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#endif </span><span class="comment">/* !defined(GRID_SIZE) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">/* Vector size, i.e. number of vector elements. */</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#if VECTOR_SIZE == 2</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00049"></a><span class="lineno"> 49</span> __constant uint2 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint2)(0, 1);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#elif VECTOR_SIZE == 4</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> __constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#elif VECTOR_SIZE == 8</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> __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="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#else </span><span class="comment">/* VECTOR_SIZE DEFAULT */</span><span class="preprocessor"></span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f"> 60</a></span> <span class="preprocessor">#define VECTOR_SIZE 16</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64"> 61</a></span> <span class="preprocessor">#define LOG_VECTOR_SIZE 4</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b"> 62</a></span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16) <a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9"> 63</a></span> __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="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR_SIZE END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment">// TODO (COMPMID-661): Remove if the non-fused kernels are removed</span></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec"> 68</a></span> __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16) <a class="code" href="softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec">type_min</a> = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad"> 69</a></span> __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="l00070"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb"> 70</a></span> __constant uint4 <a class="code" href="softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb">idx4</a> = (uint4)(0, 1, 2, 3);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#ac4247ac0991e85965b7ded764e78f12c"> 101</a></span> __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="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a071aa45af973feac43b14f62e54a6fce">CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> sum_val = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, 0, get_global_id(1)));</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  data = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, 0, 0));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  vstore16(<a class="code" href="softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8">DIV_OP</a>(data, sum_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, 0, 0));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a9d74601bcabbb2f14bcf52385ad666dc"> 158</a></span> __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="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  uint width)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  beta = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>))BETA;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Initialize local maximum</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  max_val_vec = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <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="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> uint width_ = width >> <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">for</span>(uint i = 0; i < width_; i++)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, width_ << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00193"></a><span class="lineno"> 193</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00194"></a><span class="lineno"> 194</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(<a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a>, data_max, widx), <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  max_val_vec.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01234567, max_val_vec.s89ABCDEF, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="preprocessor">#if VECTOR_SIZE >= 8</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  max_val_vec.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0123, max_val_vec.s4567, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="preprocessor">#if VECTOR_SIZE >= 4</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  max_val_vec.s01 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01, max_val_vec.s23, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  max_val_vec.s0 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0, max_val_vec.s1, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 1);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)maxo.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = max_val_vec.s0;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">/* Second section */</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Load max value of 1D logits vector (row)</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> max_val = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&maxo, 0, 0));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  sum1D = 0;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">for</span>(uint i = 0; i < width_; i++)</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, beta, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, i << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, width_ << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, beta, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a>((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a0f6ad555d097377151003a5119ccee45">CL_VEC_DATA_TYPE</a>(uint, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)))(width_ << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>) + <a class="code" href="softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9">idx__</a>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00244"></a><span class="lineno"> 244</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(0, data, widx);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, width_ << <a class="code" href="softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64">LOG_VECTOR_SIZE</a>, 0));</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, <a class="code" href="softmax__layer_8cl.xhtml#a7c78836761fa3b5b124efea237dac70f">VECTOR_SIZE</a>);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// Perform sum reduction</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#if VECTOR_SIZE == 16</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  sum1D.s01234567 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01234567, sum1D.s89ABCDEF, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 16 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="preprocessor">#if VECTOR_SIZE >= 8</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  sum1D.s0123 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0123, sum1D.s4567, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 8 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="preprocessor">#if VECTOR_SIZE >= 4</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  sum1D.s01 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01, sum1D.s23, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="preprocessor">#endif </span><span class="comment">/* VECTOR SIZE 4 END */</span><span class="preprocessor"></span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  sum1D.s0 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0, sum1D.s1, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 1);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Calculate and store result</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>.ptr) = sum1D.s0;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="softmax__layer_8cl.xhtml#a82bc360279fcf7cf8033dca6022f21f5"> 307</a></span> __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="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>),</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(maxo),</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>),</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  uint width)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="struct_image.xhtml">Image</a> maxo = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(maxo);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> uint lid = get_local_id(0);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Initialize beta</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  beta = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))BETA;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Define one temporary vector per work-item.</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  __local <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4) tmp_local[<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>];</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  __local <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> max_local;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  __constant <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4) type_min4 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(<a class="code" href="softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126">MINVAL</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  max_val_vec = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))type_min4;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Number of elements per work-item.</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <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="l00336"></a><span class="lineno"> 336</span>  <span class="comment">// Number of iterations per work-item.</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> uint width_ = row >> 2;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// Calculate max of row</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  uint i = 0;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">for</span>(; i < width_; i++)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// How many work-items needed to complete the computation.</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="comment">//TODO: Optimize this calculation (avoid %).</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <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="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span>(lid < boundary_workitems)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(data_max, max_val_vec, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  i--;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="comment">// Handle non multiple of 4</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  data_max = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00368"></a><span class="lineno"> 368</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00369"></a><span class="lineno"> 369</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(<a class="code" href="softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b">type_min_</a>, data_max, widx), <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  }</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  tmp_local[lid] = max_val_vec;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 256)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">if</span>(lid < 128)</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 128], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 128)</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span>(lid < 64)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 64], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 64)</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">if</span>(lid < 32)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 32], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 32)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">if</span>(lid < 16)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 16], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 16)</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">if</span>(lid < 8)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 8], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 8)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span>(lid < 4)</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 4], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  }</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 4)</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">if</span>(lid < 2)</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 2], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  max_val_vec = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(tmp_local[lid + 1], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  max_val_vec.s01 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s01, max_val_vec.s23, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  max_val_vec.s0 = <a class="code" href="softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01">MAX_OP</a>(max_val_vec.s0, max_val_vec.s1, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 1);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  max_local = max_val_vec.s0;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  }</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="comment">/* Second section */</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="comment">// Set sum vector</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  sum1D = 0;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> max_val = max_local;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// Shift values, exp and sum</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">for</span>(i = 0; i < width_; i++)</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, beta, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_GRID_SIZE</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">//TODO: Optimize the calculation (avoid %).</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  boundary_workitems = (width % (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4)) / 4;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">if</span>(lid < boundary_workitems)</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, beta, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, i * <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * 4, 0));</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="preprocessor">#ifdef NON_MULTIPLE_OF_VECTOR_SIZE</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">if</span>(boundary_workitems == 0)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  boundary_workitems = <a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a>;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  i--;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">if</span>(lid == (boundary_workitems - 1))</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <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="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(4)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">src</a>, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e">SUB_OP</a>(data, max_val, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="preprocessor">#ifdef BETA</span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d">MUL_OP</a>(data, beta, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="preprocessor">#endif </span><span class="comment">/* BETA */</span><span class="preprocessor"></span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  data = <a class="code" href="softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234">EXP_OP</a>(data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00496"></a><span class="lineno"> 496</span>  widx = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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>) < width, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_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="l00497"></a><span class="lineno"> 497</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(0, data, widx);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(4)</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  (data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, (<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> * i * 4) + 4, 0));</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D, data, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_VECTOR_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="preprocessor">#endif </span><span class="comment">/* NON_MULTIPLE_OF_GRID_SIZE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  tmp_local[lid] = sum1D;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 256)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">if</span>(lid < 128)</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 128], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  }</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 128)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span>(lid < 64)</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 64], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 64)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">if</span>(lid < 32)</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 32], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 32)</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span>(lid < 16)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 16], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  }</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 16)</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span>(lid < 8)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 8], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  }</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 8)</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  {</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">if</span>(lid < 4)</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 4], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">if</span>(<a class="code" href="softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f">GRID_SIZE</a> >= 4)</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">if</span>(lid < 2)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  tmp_local[lid] = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 2], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  barrier(CLK_LOCAL_MEM_FENCE);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">if</span>(lid == 0)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  sum1D = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(tmp_local[lid + 1], tmp_local[lid], <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="comment">// Perform max reduction</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  sum1D.s01 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s01, sum1D.s23, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2);</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  sum1D.s0 = <a class="code" href="softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88">ADD_OP</a>(sum1D.s0, sum1D.s1, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 1);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>.ptr) = sum1D.s0;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> }</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00312">helpers.h:312</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a071aa45af973feac43b14f62e54a6fce"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00122">helpers.h:122</a></div></div>
<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#l00063">softmax_layer.cl:63</a></div></div>
-<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_c_l_2_g_e_m_m_8cpp_source.xhtml#l00087">GEMM.cpp:87</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00060">helpers.h:60</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00063">helpers.h:63</a></div></div>
<div class="ttc" id="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#l00031">softmax_layer.cl:31</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="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#l00061">softmax_layer.cl:61</a></div></div>
<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#l00026">softmax_layer.cl:26</a></div></div>
-<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>
+<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>
<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#l00062">softmax_layer.cl:62</a></div></div>
<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#l00027">softmax_layer.cl:27</a></div></div>
<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#l00030">softmax_layer.cl:30</a></div></div>
<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#l00101">softmax_layer.cl:101</a></div></div>
<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#l00060">softmax_layer.cl:60</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00122">helpers.h:122</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00125">helpers.h:125</a></div></div>
<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#l00038">softmax_layer.cl:38</a></div></div>
<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#l00307">softmax_layer.cl:307</a></div></div>
<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#l00070">softmax_layer.cl:70</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_ae4b532a93c757194ec73b6790a3e6b1f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae4b532a93c757194ec73b6790a3e6b1f">EXPAND</a></div><div class="ttdeci">#define EXPAND(x)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00043">helpers.h:43</a></div></div>
-<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">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">ArithmeticDivision.cpp:100</a></div></div>
+<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">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<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#l00029">softmax_layer.cl:29</a></div></div>
-<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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">helpers.h:148</a></div></div>
-<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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00150">helpers.h:150</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae9d2dc29c2789c253406f9b304cc75a8"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
+<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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
+<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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00153">helpers.h:153</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af77145fbdc6b0c8931148f5597d9de53"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">arm_compute::test::validation::select</a></div><div class="ttdeci">CLSelect select</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00164">Select.cpp:164</a></div></div>
<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#l00028">softmax_layer.cl:28</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="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#l00069">softmax_layer.cl:69</a></div></div>
@@ -122,21 +132,20 @@
<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#l00037">softmax_layer.cl:37</a></div></div>
<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#l00043">softmax_layer.cl:43</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">helpers.h:48</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00082">helpers.h:82</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00085">helpers.h:85</a></div></div>
<div class="ttc" id="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#l00068">softmax_layer.cl:68</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a0f6ad555d097377151003a5119ccee45"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00057">helpers.h:57</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a0f6ad555d097377151003a5119ccee45"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00060">helpers.h:60</a></div></div>
<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#l00158">softmax_layer.cl:158</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00054">helpers.h:54</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00057">helpers.h:57</a></div></div>
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