arm_compute v17.06
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+</div><!--header-->
+<div class="contents">
+<div class="textblock"><code>#include "<a class="el" href="helpers_8h_source.xhtml">helpers.h</a>"</code><br />
+</div>
+<p><a href="batchnormalization__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:a38320a1607c05acba75c51c0fb3aec38"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="batchnormalization__layer_8cl.xhtml#a38320a1607c05acba75c51c0fb3aec38">batchnormalization_layer</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 *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, __global uchar *mean_ptr, uint mean_stride_x, uint mean_step_x, uint mean_offset_first_element_in_bytes, __global uchar *var_ptr, uint var_stride_x, uint var_step_x, uint var_offset_first_element_in_bytes, __global uchar *beta_ptr, uint beta_stride_x, uint beta_step_x, uint beta_offset_first_element_in_bytes, __global uchar *gamma_ptr, uint gamma_stride_x, uint gamma_step_x, uint gamma_offset_first_element_in_bytes, float epsilon)</td></tr>
+<tr class="memdesc:a38320a1607c05acba75c51c0fb3aec38"><td class="mdescLeft"> </td><td class="mdescRight">Apply batch normalization. <a href="#a38320a1607c05acba75c51c0fb3aec38">More...</a><br /></td></tr>
+<tr class="separator:a38320a1607c05acba75c51c0fb3aec38"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="a38320a1607c05acba75c51c0fb3aec38"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">__kernel void batchnormalization_layer </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>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">__global uchar * </td>
+ <td class="paramname"><em>mean_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>mean_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>mean_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>mean_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>var_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>var_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>var_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>var_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>beta_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>beta_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>beta_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>beta_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>gamma_ptr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>gamma_stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>gamma_step_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>gamma_offset_first_element_in_bytes</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>epsilon</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Apply batch normalization. </p>
+<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: 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">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: 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">mean_ptr</td><td>Pointer to the mean source tensor. Supported data types: F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">mean_stride_x</td><td>Stride of the mean source tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">mean_step_x</td><td>mean_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">mean_offset_first_element_in_bytes</td><td>The offset of the first element in the mean source tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">var_ptr</td><td>Pointer to the var tensor. Supported data types: F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">var_stride_x</td><td>Stride of the var tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">var_step_x</td><td>var_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">var_offset_first_element_in_bytes</td><td>The offset of the first element in the var source tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">beta_ptr</td><td>Pointer to the beta source tensor. Supported data types: F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">beta_stride_x</td><td>Stride of the beta source tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">beta_step_x</td><td>beta_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">beta_offset_first_element_in_bytes</td><td>The offset of the first element in the beta source tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">gamma_ptr</td><td>Pointer to the gamma source tensor. Supported data types: F32 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">gamma_stride_x</td><td>Stride of the gamma source tensor in X dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">gamma_step_x</td><td>gamma_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">gamma_offset_first_element_in_bytes</td><td>The offset of the first element in the gamma source tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>Epsilon parameter in the batch normalization equation </td></tr>
+ </table>
+ </dd>
+</dl>
+
+<p>Definition at line <a class="el" href="batchnormalization__layer_8cl_source.xhtml#l00062">62</a> of file <a class="el" href="batchnormalization__layer_8cl_source.xhtml">batchnormalization_layer.cl</a>.</p>
+
+<p>References <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00067">CONVERT_TO_VECTOR_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00089">Vector::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00091">Vector::stride_x</a>.</p>
+<div class="fragment"><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</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="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="struct_vector.xhtml">Vector</a> mean = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(mean);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="struct_vector.xhtml">Vector</a> var = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(var);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="struct_vector.xhtml">Vector</a> beta = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(beta);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="struct_vector.xhtml">Vector</a> gamma = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(gamma);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  float4 _in = 0;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  float4 denominator = 0;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  float4 numerator = 0;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  float4 x_bar = 0;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  float4 gamma_vec = 0;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  float4 beta_vec = 0;</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">int</span> current_slice = get_global_id(2);</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>  _in = vload4(0, (__global <span class="keywordtype">float</span> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  denominator = *((__global <span class="keywordtype">float</span> *)(var.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * var.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  denominator = rsqrt(denominator + epsilon);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// Calculate x bar and store results</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  numerator = *((__global <span class="keywordtype">float</span> *)(mean.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * mean.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  numerator = _in - numerator;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  x_bar = numerator * denominator;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  gamma_vec = *((__global <span class="keywordtype">float</span> *)(gamma.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * beta.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  beta_vec = *((__global <span class="keywordtype">float</span> *)(beta.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * beta.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</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>  vstore4(gamma_vec * x_bar + beta_vec, 0, (__global <span class="keywordtype">float</span> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00087">helpers.h:87</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="helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00067">helpers.h:67</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="struct_vector_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Vector::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00091">helpers.h:91</a></div></div>
+<div class="ttc" id="struct_vector_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">Vector::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#l00089">helpers.h:89</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>
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