arm_compute v18.11
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+<div class="title">slice_ops.cl File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock"><code>#include "<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>"</code><br />
+</div>
+<p><a href="slice__ops_8cl_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:a1ff147e576a6f86e0ff50c91716f42ac"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac">strided_slice</a> (__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)</td></tr>
+<tr class="memdesc:a1ff147e576a6f86e0ff50c91716f42ac"><td class="mdescLeft"> </td><td class="mdescRight">Perform a strided slice operation on a given input. <a href="#a1ff147e576a6f86e0ff50c91716f42ac">More...</a><br /></td></tr>
+<tr class="separator:a1ff147e576a6f86e0ff50c91716f42ac"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="a1ff147e576a6f86e0ff50c91716f42ac"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1ff147e576a6f86e0ff50c91716f42ac">◆ </a></span>strided_slice()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">__kernel void strided_slice </td>
+ <td>(</td>
+ <td class="paramtype">__global uchar * </td>
+ <td class="paramname"><em>input_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_step_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_stride_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_step_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_stride_w</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_step_w</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">__global uchar * </td>
+ <td class="paramname"><em>output_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_step_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_stride_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_step_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_stride_w</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_step_w</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_offset_first_element_in_bytes</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Perform a strided slice operation on a given input. </p>
+<dl class="section attention"><dt>Attention</dt><dd>Supported tensor rank: up to 4</dd>
+<dd>
+Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float </dd>
+<dd>
+Input and output tensor dephts should be given as a preprocessor arguments using -DSRC_DEPTH=size. and -DDST_DEPTH=size </dd>
+<dd>
+Absolute start coordinates for each dimension should be given as preprocessor -DSTART_index=value e.g. -DSTART_0=2 </dd>
+<dd>
+Strides for each dimension should be given as preprocessor -DSTRIDE_index=value e.g. -DSTRIDE_1=1</dd></dl>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_w</td><td>Stride of the source tensor in W dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_step_w</td><td>input_stride_w * number of elements along W processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: same as <code>input_ptr</code> </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>Stride of the destination tensor in Z dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_w</td><td>Stride of the destination tensor in W dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_step_w</td><td>output_stride_w * number of elements along W processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+
+<p class="definition">Definition at line <a class="el" href="slice__ops_8cl_source.xhtml#l00056">56</a> of file <a class="el" href="slice__ops_8cl_source.xhtml">slice_ops.cl</a>.</p>
+
+<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00132">CONVERT_TO_TENSOR4D_STRUCT</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00136">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00309">offset()</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00169">Tensor4D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00054">VEC_DATA_TYPE</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">VLOAD</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">VSTORE</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_strided_slice_8cpp_source.xhtml#l00068">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
+<div class="fragment"><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(START_0) && defined(STRIDE_0) && defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Check if access on width gets out of bounds</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// If it does shift access vector to access elements within bounds</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  offset = (int)START_0 + min(xi, (<span class="keywordtype">int</span>)LAST_ACCESSED_X);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += offset * input_stride_x;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</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="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#elif defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  offset = (int)START_0 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_0;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += offset * input_stride_x;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">#endif // defined(START_0) && defined(STRIDE_0)</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Offset Y</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor">#if defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  offset = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_1;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += offset * input_stride_y;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor">#endif // defined(START_1) && defined(STRIDE_1)</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Offset Z</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor">#if defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  offset = (int)START_2 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += offset * input_stride_z;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor">#endif // defined(START_2) && defined(STRIDE_2)</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Offset depth</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor">#if defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  offset = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += offset * input_stride_w;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor">#endif // defined(START_3) && defined(STRIDE_3)</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</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#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</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="l00101"></a><span class="lineno"> 101</span> </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#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</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="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#else // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</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="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</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="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#l00169">helpers.h:169</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#l00167">helpers.h:167</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#l00136">helpers.h:136</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#l00132">helpers.h:132</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">helpers.h:51</a></div></div>
+<div class="ttc" id="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_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>
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