arm_compute v19.11
diff --git a/documentation/slice__ops_8cl_source.xhtml b/documentation/slice__ops_8cl_source.xhtml
index 7b7b50a..7dd82f5 100644
--- a/documentation/slice__ops_8cl_source.xhtml
+++ b/documentation/slice__ops_8cl_source.xhtml
@@ -40,7 +40,7 @@
<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">
-  <span id="projectnumber">19.08</span>
+  <span id="projectnumber">19.11</span>
</div>
</td>
</tr>
@@ -100,25 +100,27 @@
<div class="title">slice_ops.cl</div> </div>
</div><!--header-->
<div class="contents">
-<a href="slice__ops_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) 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="l00056"></a><span class="lineno"><a class="line" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac"> 56</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac">strided_slice</a>(</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(output))</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, SRC_DEPTH);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(output, DST_DEPTH);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">int</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Offset X</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_0 * input_stride_x;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#elif defined(START_0) && defined(STRIDE_0) && defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Check if access on width gets out of bounds</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// If it does shift access vector to access elements within bounds</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> xi = (int)(get_global_id(0) * VEC_SIZE);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + min(xi, (<span class="keywordtype">int</span>)LAST_ACCESSED_X);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> -= max(xi - (<span class="keywordtype">int</span>)LAST_ACCESSED_X, 0) * output_stride_x;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#elif defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_0;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#endif // defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Offset Y</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">#if defined(SHRINK_1)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_1 * input_stride_y;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor">#elif defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_1;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor">#else // defined(SHRINK_0)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_1;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor">#endif // defined(SHRINK_0)</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_y;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor">#endif // defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Offset Z</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#if defined(SHRINK_2)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_2 * input_stride_z;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor">#elif defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#if defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_2;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor">#elif defined(SHRINK_1) || defined(SHRINK_0)</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_2;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor">#else // defined(SHRINK_1) && defined(SHRINK_0)</span></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#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#endif // defined(SHRINK_1) && defined(SHRINK_0)</span></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>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_z;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#endif // defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Offset depth</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="preprocessor">#if defined(SHRINK_3)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_3 * input_stride_w;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor">#elif defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="preprocessor">#if defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_3;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor">#elif !defined(SHRINK_2) && !defined(SHRINK_1) && !defined(SHRINK_0)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor">#elif(defined(SHRINK_0) && defined(SHRINK_1)) || (defined(SHRINK_1) && defined(SHRINK_2)) || (defined(SHRINK_0) && defined(SHRINK_2))</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_3;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor">#else // defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor">#endif // defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_w;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#endif // defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</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>, VEC_SIZE)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  val = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  (val, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#else // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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#l00328">helpers.h:328</a></div></div>
-<div class="ttc" id="struct_tensor4_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor4D::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#l00188">helpers.h:188</a></div></div>
+<a href="slice__ops_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) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">/** Perform a strided slice operation on a given input.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> *</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> * @attention Supported tensor rank: up to 4</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> *</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> * @attention Input and output tensor dephts should be given as a preprocessor arguments using -DSRC_DEPTH=size. and -DDST_DEPTH=size</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> * @attention Absolute start coordinates for each dimension should be given as preprocessor -DSTART_index=value e.g. -DSTART_0=2</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> * @attention Strides for each dimension should be given as preprocessor -DSTRIDE_index=value e.g. -DSTRIDE_1=1</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> *</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/QASYMM16/QSYMM16/F16/U32/S32/F32</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> * @param[in] input_step_w input_stride_w * number of elements along W processed per workitem(in bytes)</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes)</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> */</span></div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac"> 56</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac">strided_slice</a>(</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(output))</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, SRC_DEPTH);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(output, DST_DEPTH);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">int</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Offset X</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += (int)START_0 * input_stride_x;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#elif defined(START_0) && defined(STRIDE_0) && defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Check if access on width gets out of bounds</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// If it does shift access vector to access elements within bounds</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> xi = (int)(get_global_id(0) * <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + min(xi, (<span class="keywordtype">int</span>)LAST_ACCESSED_X);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> -= max(xi - (<span class="keywordtype">int</span>)LAST_ACCESSED_X, 0) * output_stride_x;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#elif defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_0;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#endif // defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Offset Y</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">#if defined(SHRINK_1)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += (int)START_1 * input_stride_y;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor">#elif defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_1;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor">#else // defined(SHRINK_0)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_1;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor">#endif // defined(SHRINK_0)</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_y;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor">#endif // defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Offset Z</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#if defined(SHRINK_2)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += (int)START_2 * input_stride_z;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor">#elif defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#if defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_2;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor">#elif defined(SHRINK_1) || defined(SHRINK_0)</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_2;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor">#else // defined(SHRINK_1) && defined(SHRINK_0)</span></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#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#endif // defined(SHRINK_1) && defined(SHRINK_0)</span></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="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_z;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#endif // defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Offset depth</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="preprocessor">#if defined(SHRINK_3)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += (int)START_3 * input_stride_w;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor">#elif defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="preprocessor">#if defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_3;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor">#elif !defined(SHRINK_2) && !defined(SHRINK_1) && !defined(SHRINK_0)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor">#elif(defined(SHRINK_0) && defined(SHRINK_1)) || (defined(SHRINK_1) && defined(SHRINK_2)) || (defined(SHRINK_0) && defined(SHRINK_2))</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_3;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor">#else // defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor">#endif // defined(SHRINK_2) && defined(SHRINK_1) && defined(SHRINK_0)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_w;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#endif // defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</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="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  val = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr));</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  (val, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#else // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.ptr));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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#l00510">helpers.h:510</a></div></div>
+<div class="ttc" id="struct_tensor4_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor4D::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#l00370">helpers.h:370</a></div></div>
+<div class="ttc" id="depthwise__convolution__quantized_8cl_xhtml_a3fffea119c04c7680f2e9cf3fadf63b4"><div class="ttname"><a href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a></div><div class="ttdeci">#define VEC_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution__quantized_8cl_source.xhtml#l00031">depthwise_convolution_quantized.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="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00186">helpers.h:186</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a302e05cc5f90bd76a9d0812c4be8b5eb"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00155">helpers.h:155</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
+<div class="ttc" id="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00368">helpers.h:368</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a302e05cc5f90bd76a9d0812c4be8b5eb"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00337">helpers.h:337</a></div></div>
<div class="ttc" id="slice__ops_8cl_xhtml_a1ff147e576a6f86e0ff50c91716f42ac"><div class="ttname"><a href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac">strided_slice</a></div><div class="ttdeci">__kernel void strided_slice(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_stride_w, uint input_step_w, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_stride_w, uint output_step_w, uint output_offset_first_element_in_bytes)</div><div class="ttdoc">Perform a strided slice operation on a given input.</div><div class="ttdef"><b>Definition:</b> <a href="slice__ops_8cl_source.xhtml#l00056">slice_ops.cl:56</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a23b9032d1b9d59547545e457f82ee478"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size)</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a23b9032d1b9d59547545e457f82ee478"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00333">helpers.h:333</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00056">helpers.h:56</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00111">helpers.h:111</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#l00053">helpers.h:53</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#l00073">helpers.h:73</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00198">helpers.h:198</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00293">helpers.h:293</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#l00195">helpers.h:195</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#l00255">helpers.h:255</a></div></div>
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