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<div class="title">l2_normalize.cl File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
</div>
<p><a href="l2__normalize_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:aecb8206d06294af64d2cf722399df448"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="l2__normalize_8cl.xhtml#aecb8206d06294af64d2cf722399df448">l2_normalize_x</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_offset_first_element_in_bytes, <a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>)</td></tr>
<tr class="memdesc:aecb8206d06294af64d2cf722399df448"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel performs l2 normalization on x-axis. <a href="#aecb8206d06294af64d2cf722399df448">More...</a><br /></td></tr>
<tr class="separator:aecb8206d06294af64d2cf722399df448"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa860f55bdbc8de4e8e5850a05147b2be"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="l2__normalize_8cl.xhtml#aa860f55bdbc8de4e8e5850a05147b2be">l2_normalize_y</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes, <a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>)</td></tr>
<tr class="memdesc:aa860f55bdbc8de4e8e5850a05147b2be"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel performs l2 normalization on y-axis. <a href="#aa860f55bdbc8de4e8e5850a05147b2be">More...</a><br /></td></tr>
<tr class="separator:aa860f55bdbc8de4e8e5850a05147b2be"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a809db37fce4c2e573b09b0af0d3b95ee"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="l2__normalize_8cl.xhtml#a809db37fce4c2e573b09b0af0d3b95ee">l2_normalize_z</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *sum_ptr, uint sum_stride_x, uint sum_step_x, uint sum_stride_y, uint sum_step_y, uint sum_stride_z, uint sum_step_z, uint sum_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, <a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>)</td></tr>
<tr class="memdesc:a809db37fce4c2e573b09b0af0d3b95ee"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel performs l2 normalization on z-axis. <a href="#a809db37fce4c2e573b09b0af0d3b95ee">More...</a><br /></td></tr>
<tr class="separator:a809db37fce4c2e573b09b0af0d3b95ee"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<h2 class="groupheader">Function Documentation</h2>
<a id="aecb8206d06294af64d2cf722399df448"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aecb8206d06294af64d2cf722399df448">&#9670;&nbsp;</a></span>l2_normalize_x()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__kernel void l2_normalize_x </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>src_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>sum_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>dst_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>&#160;</td>
<td class="paramname"><em>epsilon</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>This kernel performs l2 normalization on x-axis. </p>
<dl class="section note"><dt>Note</dt><dd>The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float </dd>
<dd>
The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_x</td><td>sum_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">dst_ptr</td><td>Pointer to the destination tensor. Supported data types: same as <code>src_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">epsilon</td><td>Epsilon value </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="l2__normalize_8cl_source.xhtml#l00045">45</a> of file <a class="el" href="l2__normalize_8cl_source.xhtml">l2_normalize.cl</a>.</p>
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00104">CONVERT_TO_VECTOR_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">arm_compute::test::validation::dst</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00265">arm_compute::test::validation::in</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00142">Vector::ptr</a>, <a class="el" href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">arm_compute::test::validation::src</a>, <a class="el" href="reduction__operation_8cl_source.xhtml#l00052">sum()</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00054">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;{</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(src);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(sum);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(dst);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; normalize_value = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))rsqrt(fmax(((__global DATA_TYPE *)sum.ptr)[0], <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; vstore16(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> * normalize_value, 0, (__global DATA_TYPE *)dst.ptr);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00140">helpers.h:140</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="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad366eaa4cf2d106037d91c30795a5c76"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">arm_compute::test::validation::in</a></div><div class="ttdeci">CLTensor in</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00265">Winograd.cpp:265</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">ArithmeticDivision.cpp:100</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_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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<h2 class="memtitle"><span class="permalink"><a href="#aa860f55bdbc8de4e8e5850a05147b2be">&#9670;&nbsp;</a></span>l2_normalize_y()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__kernel void l2_normalize_y </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>src_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>sum_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>dst_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>&#160;</td>
<td class="paramname"><em>epsilon</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>This kernel performs l2 normalization on y-axis. </p>
<dl class="section note"><dt>Note</dt><dd>The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float </dd>
<dd>
The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_x</td><td>src_stride_x * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_y</td><td>src_stride_y * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_x</td><td>sum_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_y</td><td>sum_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">dst_ptr</td><td>Pointer to the destination tensor. Supported data types: same as <code>src_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">epsilon</td><td>Epsilon value </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="l2__normalize_8cl_source.xhtml#l00088">88</a> of file <a class="el" href="l2__normalize_8cl_source.xhtml">l2_normalize.cl</a>.</p>
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00110">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">arm_compute::test::validation::dst</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00265">arm_compute::test::validation::in</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00150">Image::ptr</a>, <a class="el" href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">arm_compute::test::validation::src</a>, <a class="el" href="reduction__operation_8cl_source.xhtml#l00052">sum()</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00054">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(sum);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; sums = vload16(0, (__global DATA_TYPE *)sum.ptr);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; normalize_value = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))rsqrt(fmax(sums, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>));</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; vstore16(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> * normalize_value, 0, (__global DATA_TYPE *)dst.ptr);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;}</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00110">helpers.h:110</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="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad366eaa4cf2d106037d91c30795a5c76"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">arm_compute::test::validation::in</a></div><div class="ttdeci">CLTensor in</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00265">Winograd.cpp:265</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">ArithmeticDivision.cpp:100</a></div></div>
<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">helpers.h:148</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_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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<h2 class="memtitle"><span class="permalink"><a href="#a809db37fce4c2e573b09b0af0d3b95ee">&#9670;&nbsp;</a></span>l2_normalize_z()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__kernel void l2_normalize_z </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>src_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>sum_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>sum_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>dst_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>&#160;</td>
<td class="paramname"><em>epsilon</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>This kernel performs l2 normalization on z-axis. </p>
<dl class="section note"><dt>Note</dt><dd>The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float </dd>
<dd>
The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_x</td><td>src_stride_x * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_y</td><td>src_stride_y * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_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">src_step_z</td><td>src_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_ptr</td><td>Pointer to the source tensor. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_x</td><td>sum_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_y</td><td>sum_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">sum_step_z</td><td>sum_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">sum_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">dst_ptr</td><td>Pointer to the destination tensor. Supported data types: same as <code>src_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">dst_step_z</td><td>dst_stride_z * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_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">epsilon</td><td>Epsilon value </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="l2__normalize_8cl_source.xhtml#l00139">139</a> of file <a class="el" href="l2__normalize_8cl_source.xhtml">l2_normalize.cl</a>.</p>
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00125">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">arm_compute::test::validation::dst</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00265">arm_compute::test::validation::in</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00159">Tensor3D::ptr</a>, <a class="el" href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">arm_compute::test::validation::src</a>, <a class="el" href="reduction__operation_8cl_source.xhtml#l00052">sum()</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00054">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;{</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(sum);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; sums = vload16(0, (__global DATA_TYPE *)sum.ptr);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; normalize_value = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 16))rsqrt(fmax(sums, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>));</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; vstore16(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a> * normalize_value, 0, (__global DATA_TYPE *)dst.ptr);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;}</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="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad366eaa4cf2d106037d91c30795a5c76"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">arm_compute::test::validation::in</a></div><div class="ttdeci">CLTensor in</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00265">Winograd.cpp:265</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00157">helpers.h:157</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">ArithmeticDivision.cpp:100</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00125">helpers.h:125</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_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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