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| <div class="textblock"><code>#include "<a class="el" href="helpers_8h_source.xhtml">helpers.h</a>"</code><br /> |
| </div> |
| <p><a href="normalization__layer_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:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="normalization__layer_8cl.xhtml#a904c8d1ee4f70e0a7ac448f24fadc64f">normalization_layer_cross_map</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_offset_first_element_in_bytes, __global uchar *squared_input_ptr, uint squared_input_stride_x, uint squared_input_step_x, uint squared_input_stride_y, uint squared_input_step_y, uint squared_input_stride_z, uint squared_input_step_z, uint squared_input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, float coeff, float beta, float kappa, uint radius)</td></tr> |
| <tr class="memdesc:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="mdescLeft"> </td><td class="mdescRight">Apply cross map normalization. <a href="#a904c8d1ee4f70e0a7ac448f24fadc64f">More...</a><br /></td></tr> |
| <tr class="separator:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a90db97ea601490aa9add6e3de716c6e1"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="normalization__layer_8cl.xhtml#a90db97ea601490aa9add6e3de716c6e1">normalization_layer_in_map_1D</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_offset_first_element_in_bytes, __global uchar *squared_input_ptr, uint squared_input_stride_x, uint squared_input_step_x, uint squared_input_stride_y, uint squared_input_step_y, uint squared_input_stride_z, uint squared_input_step_z, uint squared_input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, float coeff, float beta, float kappa, uint radius)</td></tr> |
| <tr class="memdesc:a90db97ea601490aa9add6e3de716c6e1"><td class="mdescLeft"> </td><td class="mdescRight">Apply in map normalization. <a href="#a90db97ea601490aa9add6e3de716c6e1">More...</a><br /></td></tr> |
| <tr class="separator:a90db97ea601490aa9add6e3de716c6e1"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a class="anchor" id="a904c8d1ee4f70e0a7ac448f24fadc64f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">__kernel void normalization_layer_cross_map </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_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>squared_input_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_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_offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>coeff</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>beta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>kappa</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>radius</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Apply cross map normalization. </p> |
| <dl class="section note"><dt>Note</dt><dd>Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short</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 first source tensor. Supported data types: F16, F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the first 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 first 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 first 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_offset_first_element_in_bytes</td><td>The offset of the first element in the first source tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_ptr</td><td>Pointer to the second source tensor. Supported data types: F16, F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_x</td><td>Stride of the second source tensor in X dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_stride_y</td><td>Stride of the second source tensor in Y dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_stride_z</td><td>Stride of the second source tensor in Z dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_offset_first_element_in_bytes</td><td>The offset of the second element in the second 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: F16, F32 </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_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">radius</td><td>Number of elements on the right or left side to normalize across </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Definition at line <a class="el" href="normalization__layer_8cl_source.xhtml#l00059">59</a> of file <a class="el" href="normalization__layer_8cl_source.xhtml">normalization_layer.cl</a>.</p> |
| |
| <p>References <a class="el" href="helpers_8h_source.xhtml#l00035">CONVERT</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">arm_compute::test::fixed_point_arithmetic::detail::pow()</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>.</p> |
| <div class="fragment"><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>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> squared_in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(squared_input);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> acc = 0;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> num_of_slices = get_global_size(2);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> current_slice = get_global_id(2);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> left_slice = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(current_slice - (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> right_slice = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(current_slice + (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)(num_of_slices - 1));</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="keywordflow">for</span>(<span class="keywordtype">int</span> i = left_slice; i <= right_slice; i++)</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>  acc += *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&squared_in, 0, 0, i - current_slice);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> normalized = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">pow</a>(kappa + coeff * (<span class="keywordtype">float</span>)acc, beta);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> normalized_pixel = (float) * ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) / normalized;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = <a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(normalized_pixel, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</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_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00213">helpers.h:213</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_af782da2c5016738c96c16fee5e17670f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">arm_compute::test::fixed_point_arithmetic::detail::pow</a></div><div class="ttdeci">fixed_point< T > pow(fixed_point< T > x, fixed_point< T > a)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">FixedPoint.h:935</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00035">helpers.h:35</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a90db97ea601490aa9add6e3de716c6e1"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">__kernel void normalization_layer_in_map_1D </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_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>squared_input_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_input_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>squared_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_offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>coeff</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>beta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>kappa</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>radius</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Apply in map normalization. </p> |
| <dl class="section note"><dt>Note</dt><dd>Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short</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 first source tensor. Supported data types: F16, F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the first 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 first 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 first 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_offset_first_element_in_bytes</td><td>The offset of the first element in the first source tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_ptr</td><td>Pointer to the second source tensor. Supported data types: F16, F32 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_x</td><td>Stride of the second source tensor in X dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_stride_y</td><td>Stride of the second source tensor in Y dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_stride_z</td><td>Stride of the second source tensor in Z dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">squared_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">squared_input_offset_first_element_in_bytes</td><td>The offset of the second element in the second 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: F16, F32 </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 first 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 first source 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_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">radius</td><td>Number of elements on the right or left side to normalize across </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Definition at line <a class="el" href="normalization__layer_8cl_source.xhtml#l00124">124</a> of file <a class="el" href="normalization__layer_8cl_source.xhtml">normalization_layer.cl</a>.</p> |
| |
| <p>References <a class="el" href="helpers_8h_source.xhtml#l00035">CONVERT</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">arm_compute::test::fixed_point_arithmetic::detail::pow()</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> squared_in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(squared_input);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="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="l00137"></a><span class="lineno"> 137</span>  acc_vec = 0;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  const <span class="keywordtype">int</span> current_pos = get_global_id(0) << 2;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  const <span class="keywordtype">int</span> left_pos = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(current_pos - (<span class="keywordtype">int</span>)radius, -3);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  const <span class="keywordtype">int</span> right_pos = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(current_pos + (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)((get_global_size(0) << 2) + 3 - 1));</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  for(<span class="keywordtype">int</span> i = left_pos; i <= right_pos; i += 1)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  acc_vec += vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&squared_in, i - current_pos, 0, 0));</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> float4 normalized = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">pow</a>((float4)kappa + coeff * (float4)acc_vec, beta);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">const</span> float4 normalized_pixel = <a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), float4) / normalized;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  vstore4(<a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(normalized_pixel, <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</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_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="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="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00213">helpers.h:213</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_af782da2c5016738c96c16fee5e17670f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">arm_compute::test::fixed_point_arithmetic::detail::pow</a></div><div class="ttdeci">fixed_point< T > pow(fixed_point< T > x, fixed_point< T > a)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">FixedPoint.h:935</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00035">helpers.h:35</a></div></div> |
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