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<a href="#define-members">Macros</a> &#124;
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<div class="title">pooling_layer.cl File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
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<p><a href="pooling__layer_8cl_source.xhtml">Go to the source code of this file.</a></p>
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Macros</h2></td></tr>
<tr class="memitem:a482ef7d59a5f474ca126e737c7f0978a"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(x, y)&#160;&#160;&#160;((x) + (y))</td></tr>
<tr class="separator:a482ef7d59a5f474ca126e737c7f0978a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a03898439d164d74f8c35bafb67262d95"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(x, vec_size)&#160;&#160;&#160;(x)</td></tr>
<tr class="separator:a03898439d164d74f8c35bafb67262d95"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5db17889d824975fefb2ce2f4690637f"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(x, y)&#160;&#160;&#160;(x * (1.f / y))</td></tr>
<tr class="separator:a5db17889d824975fefb2ce2f4690637f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac9af19bec38fe50b4b9585c0e5c0ccca"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a>(x)&#160;&#160;&#160;sqrt((x))</td></tr>
<tr class="separator:ac9af19bec38fe50b4b9585c0e5c0ccca"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6c01fa98d360a9d52926dc6a5a599711"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a>(x, y)&#160;&#160;&#160;(x * (<a class="el" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))(1.f / y))</td></tr>
<tr class="separator:a6c01fa98d360a9d52926dc6a5a599711"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6b8e66069b8cd3e743141d7f024a7d76"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a6b8e66069b8cd3e743141d7f024a7d76">POOLING3x3_STRIDE1</a>(res, input, output)</td></tr>
<tr class="separator:a6b8e66069b8cd3e743141d7f024a7d76"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abb8f7128361a6a1965b1b2a5b3a719b2"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#abb8f7128361a6a1965b1b2a5b3a719b2">POOLING3x3_STRIDE2</a>(res, input, output)</td></tr>
<tr class="separator:abb8f7128361a6a1965b1b2a5b3a719b2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aba30215e4df370ff8935f83046e696ea"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#aba30215e4df370ff8935f83046e696ea">POOLING3x3_STRIDE3</a>(res, input, output)</td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:ac8f27d6ce33043a58fc6bd17b41f8153"><td class="memItemLeft" align="right" valign="top"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153">calculate_avg_scale</a> (const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</td></tr>
<tr class="separator:ac8f27d6ce33043a58fc6bd17b41f8153"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2d95de36199fd06803ffb62f5ff1df08"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a2d95de36199fd06803ffb62f5ff1df08">pooling_layer_2</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)</td></tr>
<tr class="memdesc:a2d95de36199fd06803ffb62f5ff1df08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 2. <a href="#a2d95de36199fd06803ffb62f5ff1df08">More...</a><br /></td></tr>
<tr class="separator:a2d95de36199fd06803ffb62f5ff1df08"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af5751970a4d8c62febdc6c63d6d4fd1d"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#af5751970a4d8c62febdc6c63d6d4fd1d">pooling_layer_3</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)</td></tr>
<tr class="memdesc:af5751970a4d8c62febdc6c63d6d4fd1d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 3. <a href="#af5751970a4d8c62febdc6c63d6d4fd1d">More...</a><br /></td></tr>
<tr class="separator:af5751970a4d8c62febdc6c63d6d4fd1d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a93173b51e52924504320e874affcf881"><td class="memItemLeft" align="right" valign="top"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a93173b51e52924504320e874affcf881">calculate_avg_scale_nhwc</a> (const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</td></tr>
<tr class="separator:a93173b51e52924504320e874affcf881"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac320fea94a0f786ca35fe159d57a6e49"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#ac320fea94a0f786ca35fe159d57a6e49">pooling_layer_MxN_nhwc</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)</td></tr>
<tr class="memdesc:ac320fea94a0f786ca35fe159d57a6e49"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to N (NHWC) <a href="#ac320fea94a0f786ca35fe159d57a6e49">More...</a><br /></td></tr>
<tr class="separator:ac320fea94a0f786ca35fe159d57a6e49"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
<a class="anchor" id="a5db17889d824975fefb2ce2f4690637f"></a>
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<td class="memname">#define DIV_OP</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">y&#160;</td>
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<td>)</td>
<td></td><td>&#160;&#160;&#160;(x * (1.f / y))</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00038">38</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">pooling_layer_3()</a>.</p>
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<td class="memname">#define DIV_OP_NHWC</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">y&#160;</td>
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<td></td>
<td>)</td>
<td></td><td>&#160;&#160;&#160;(x * (<a class="el" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))(1.f / y))</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00041">41</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00535">pooling_layer_MxN_nhwc()</a>.</p>
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<td class="memname">#define POOL_OP</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">y&#160;</td>
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<td></td>
<td>)</td>
<td></td><td>&#160;&#160;&#160;((x) + (y))</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">27</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">pooling_layer_2()</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">pooling_layer_3()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00535">pooling_layer_MxN_nhwc()</a>.</p>
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<td class="memname">#define POOLING3x3_STRIDE1</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">res, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">input, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">output&#160;</td>
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<td></td>
<td>)</td>
<td></td><td></td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00051">51</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
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<a class="anchor" id="abb8f7128361a6a1965b1b2a5b3a719b2"></a>
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<td class="memname">#define POOLING3x3_STRIDE2</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">res, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">input, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">output&#160;</td>
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<td></td>
<td>)</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00094">94</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
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<td class="memname">#define POOLING3x3_STRIDE3</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">res, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">input, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">output&#160;</td>
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<td>)</td>
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<b>Value:</b><div class="fragment"><div class="line">({ <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f"> VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) \</div><div class="line"> data00 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 0, 0)); <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><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"> data01 = 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>(&amp;input, 0, 0, 0) + 8); <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f"> VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) \</div><div class="line"> data10 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0)); <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><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"> data11 = 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>(&amp;input, 0, 1, 0) + 8); <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f"> VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) \</div><div class="line"> data20 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0)); <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">\</a></div><div class="line"><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"> data21 = 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>(&amp;input, 0, 2, 0) + 8); \</div><div class="line"> data00 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data00, 8); \</div><div class="line"> data01 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data01, 4); \</div><div class="line"> data10 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data10, 8); \</div><div class="line"> data11 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data11, 4); \</div><div class="line"> data20 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data20, 8); \</div><div class="line"> data21 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data21, 4); \</div><div class="line"> \</div><div class="line"> data00 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data00, data10); \</div><div class="line"> data01 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data01, data11); \</div><div class="line"> data00 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data00, data20); \</div><div class="line"> data01 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data01, data21); \</div><div class="line"> \</div><div class="line"> res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>((<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(data00.s036, data01.s1), (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(data00.s147, data01.s2)); \</div><div class="line"> res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(res, (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(data00.s25, data01.s03)); \</div><div class="line"> })</div><div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</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="pooling__layer_8cl_xhtml_a03898439d164d74f8c35bafb67262d95"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a></div><div class="ttdeci">#define POW2_OP(x, vec_size)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00035">pooling_layer.cl:35</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#l00056">helpers.h:56</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#l00323">helpers.h:323</a></div></div>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00134">134</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
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<td class="memname">#define POW2_OP</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x, </td>
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<td class="paramtype">&#160;</td>
<td class="paramname">vec_size&#160;</td>
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<td></td><td>&#160;&#160;&#160;(x)</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00035">35</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">pooling_layer_3()</a>.</p>
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<td class="memname">#define SQRT_OP</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x</td><td>)</td>
<td>&#160;&#160;&#160;sqrt((x))</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00039">39</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">pooling_layer_2()</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">pooling_layer_3()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00535">pooling_layer_MxN_nhwc()</a>.</p>
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<h2 class="groupheader">Function Documentation</h2>
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<td class="memname"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> calculate_avg_scale </td>
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<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>pool_size_x</em>, </td>
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<td class="paramtype">const int&#160;</td>
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<td class="paramname"><em>upper_bound_h</em>, </td>
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<td class="paramtype">const int&#160;</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00164">164</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">pooling_layer_3()</a>.</p>
<div class="fragment"><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;{</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordtype">int</span> start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keywordtype">int</span> start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> end_x = min(start_x + pool_size_x, upper_bound_w);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> end_y = min(start_y + pool_size_y, upper_bound_h);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="preprocessor">#if defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; start_x = max(0, start_x);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; start_y = max(0, start_y);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;}</div></div><!-- fragment -->
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<td class="memname"><a class="el" href="convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> calculate_avg_scale_nhwc </td>
<td>(</td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>pool_size_x</em>, </td>
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<td class="paramtype">const int&#160;</td>
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<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00488">488</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00535">pooling_layer_MxN_nhwc()</a>.</p>
<div class="fragment"><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;{</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordtype">int</span> start_x = get_global_id(1) * stride_x - pad_x;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; <span class="keywordtype">int</span> start_y = get_global_id(2) * stride_y - pad_y;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160;<span class="preprocessor">#if !defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; upper_bound_w += pad_x;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; upper_bound_h += pad_y;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> end_x = min(start_x + pool_size_x, upper_bound_w);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> end_y = min(start_y + pool_size_y, upper_bound_h);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160;<span class="preprocessor">#if defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; start_x = max(0, start_x);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; start_y = max(0, start_y);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160;}</div></div><!-- fragment -->
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<td class="memname">__kernel void pooling_layer_2 </td>
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<td class="paramname"><em>input_step_y</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</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 *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Performs a pooling function of pool size equal to 2. </p>
<dl class="section note"><dt>Note</dt><dd>Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32; </dd>
<dd>
In case of average pooling the following information must be passed at compile time: -DPOOL_AVG or -DPOOL_L2 must be provided otherwise max pooling will be performed. -DMAX_WIDTH and -DMAX_HEIGHT which are the maximum accessible indeces in x and y dimensions (width + pad) -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source image. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image 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 image 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 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 image </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00204">204</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>References <a class="el" href="pooling__layer_8cl_source.xhtml#l00164">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00127">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00038">DIV_OP</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00035">POW2_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00161">Tensor3D::ptr</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00039">SQRT_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00323">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00056">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;{</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">// Load data</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; data0 = vload2(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 0, 0));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; data1 = vload2(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="comment">// Raise to power of 2 for L2 Pooling</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data0, 2);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; data1 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data1, 2);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="comment">// Perform calculations</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; DATA_TYPE res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0.s0, data0.s1);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<span class="preprocessor">#if defined(POOL_AVG) || defined(POOL_L2)</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="comment">// Divide by pool region in case of average or l2 pooling</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; res = <a class="code" href="pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(res, <a class="code" href="pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153">calculate_avg_scale</a>(2, 2, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) || defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="comment">// Take square root of the result in L2 pooling</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; res = <a class="code" href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a>(res);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;}</div><div class="ttc" id="pooling__layer_8cl_xhtml_a5db17889d824975fefb2ce2f4690637f"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a></div><div class="ttdeci">#define DIV_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00038">pooling_layer.cl:38</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</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#l00127">helpers.h:127</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#l00159">helpers.h:159</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a03898439d164d74f8c35bafb67262d95"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a></div><div class="ttdeci">#define POW2_OP(x, vec_size)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00035">pooling_layer.cl:35</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#l00056">helpers.h:56</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_ac8f27d6ce33043a58fc6bd17b41f8153"><div class="ttname"><a href="pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153">calculate_avg_scale</a></div><div class="ttdeci">DATA_TYPE calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00164">pooling_layer.cl:164</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#l00323">helpers.h:323</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#l00161">helpers.h:161</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_ac9af19bec38fe50b4b9585c0e5c0ccca"><div class="ttname"><a href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a></div><div class="ttdeci">#define SQRT_OP(x)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00039">pooling_layer.cl:39</a></div></div>
</div><!-- fragment -->
</div>
</div>
<a class="anchor" id="af5751970a4d8c62febdc6c63d6d4fd1d"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__kernel void pooling_layer_3 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</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 *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Performs a pooling function of pool size equal to 3. </p>
<dl class="section note"><dt>Note</dt><dd>Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32; </dd>
<dd>
In case of average pooling the following information must be passed at compile time: -DPOOL_AVG or -DPOOL_L2 must be provided otherwise max pooling will be performed. -DMAX_WIDTH and -DMAX_HEIGHT which are the maximum accessible indeces in x and y dimensions (width + pad) -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source image. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image 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 image 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 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 image </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00268">268</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>References <a class="el" href="pooling__layer_8cl_source.xhtml#l00164">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00127">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00038">DIV_OP</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00035">POW2_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00161">Tensor3D::ptr</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00039">SQRT_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00323">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00056">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;{</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="comment">// Load data</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; data0 = vload3(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 0, 0));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; data1 = vload3(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 3)</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; data2 = vload3(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="comment">// Raise to power of 2 for L2 Pooling</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data0, 3);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; data1 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data1, 3);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; data2 = <a class="code" href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a>(data2, 3);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="comment">// Perform calculations</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data2);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; DATA_TYPE res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(<a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0.s0, data0.s1), data0.s2);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;<span class="preprocessor">#if defined(POOL_AVG) || defined(POOL_L2)</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="comment">// Divide by pool region in case of average pooling</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; res = <a class="code" href="pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(res, <a class="code" href="pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153">calculate_avg_scale</a>(3, 3, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) || defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="comment">// Take square root of the result in L2 pooling</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; res = <a class="code" href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a>(res);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;}</div><div class="ttc" id="pooling__layer_8cl_xhtml_a5db17889d824975fefb2ce2f4690637f"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a></div><div class="ttdeci">#define DIV_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00038">pooling_layer.cl:38</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</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#l00127">helpers.h:127</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#l00159">helpers.h:159</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a03898439d164d74f8c35bafb67262d95"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95">POW2_OP</a></div><div class="ttdeci">#define POW2_OP(x, vec_size)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00035">pooling_layer.cl:35</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#l00056">helpers.h:56</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_ac8f27d6ce33043a58fc6bd17b41f8153"><div class="ttname"><a href="pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153">calculate_avg_scale</a></div><div class="ttdeci">DATA_TYPE calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00164">pooling_layer.cl:164</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#l00323">helpers.h:323</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#l00161">helpers.h:161</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_ac9af19bec38fe50b4b9585c0e5c0ccca"><div class="ttname"><a href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a></div><div class="ttdeci">#define SQRT_OP(x)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00039">pooling_layer.cl:39</a></div></div>
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<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__kernel void pooling_layer_MxN_nhwc </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</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 *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Performs a pooling function of pool size equal to N (NHWC) </p>
<dl class="section note"><dt>Note</dt><dd>Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32 </dd>
<dd>
-DFP16 must be passed at compile time if half float data type is used </dd>
<dd>
Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13; </dd>
<dd>
Tensors width and height must be passed at compile time using -DMAX_WIDTH and -DMAX_HEIGHT </dd>
<dd>
Strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions </dd>
<dd>
Pad values must be passed at compile time using -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension </dd>
<dd>
In case of average pooling the following information must be passed at compile time: -DPOOL_AVG must be provided otherwise max pooling will be performed.</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source image. Supported data types: F16/F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image 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 image 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 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 image </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00535">535</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>References <a class="el" href="pooling__layer_8cl_source.xhtml#l00488">calculate_avg_scale_nhwc()</a>, <a class="el" href="helpers_8h_source.xhtml#l00127">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00041">DIV_OP_NHWC</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00161">Tensor3D::ptr</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00039">SQRT_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00323">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00056">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160;{</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; vdata = INITIAL_VALUE;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> sdata = INITIAL_VALUE;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; const <span class="keywordtype">int</span> idx_width = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; const <span class="keywordtype">int</span> idx_height = get_global_id(2) * STRIDE_Y;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; for(<span class="keywordtype">int</span> y = 0; y &lt; POOL_SIZE_Y; ++y)</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <span class="keywordtype">int</span> y1 = select(y, PAD_Y - idx_height, y + idx_height - PAD_Y &lt; 0 || y + idx_height - PAD_Y &gt;= MAX_HEIGHT);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x &lt; POOL_SIZE_X; ++x)</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; <span class="keywordtype">int</span> x1 = select(x, PAD_X - idx_width - 1, x + idx_width - PAD_X &lt; 0 || x + idx_width - PAD_X &gt;= MAX_WIDTH);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; x1 = select(x1, PAD_X - idx_width - 1, y != y1);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; data0 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, x1 - PAD_X, y1 - PAD_Y));</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <span class="comment">// Raise to power of 2 for L2 Pooling</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; data0 *= data0;</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; vdata = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; }</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;<span class="preprocessor">#if defined(POOL_AVG) || defined(POOL_L2)</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <span class="comment">// Divide by pool region in case of average pooling</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; vdata = <a class="code" href="pooling__layer_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a>(vdata, <a class="code" href="pooling__layer_8cl.xhtml#a93173b51e52924504320e874affcf881">calculate_avg_scale_nhwc</a>(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) || defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; <span class="comment">// Take square root of the result in L2 pooling</span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; vdata = <a class="code" href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a>(vdata);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; vstore8(vdata, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160;}</div><div class="ttc" id="pooling__layer_8cl_xhtml_a93173b51e52924504320e874affcf881"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a93173b51e52924504320e874affcf881">calculate_avg_scale_nhwc</a></div><div class="ttdeci">DATA_TYPE calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00488">pooling_layer.cl:488</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</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#l00127">helpers.h:127</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#l00159">helpers.h:159</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#l00056">helpers.h:56</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#l00323">helpers.h:323</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a6c01fa98d360a9d52926dc6a5a599711"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a></div><div class="ttdeci">#define DIV_OP_NHWC(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00041">pooling_layer.cl:41</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#l00161">helpers.h:161</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_ac9af19bec38fe50b4b9585c0e5c0ccca"><div class="ttname"><a href="pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca">SQRT_OP</a></div><div class="ttdeci">#define SQRT_OP(x)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00039">pooling_layer.cl:39</a></div></div>
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