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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 />
</div>
<p><a href="pooling__layer_8cl_source.xhtml">Go to the source code of this file.</a></p>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
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>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:a60440813daa769d486c5786d52b91340"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a> (const int pool_size, 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:a60440813daa769d486c5786d52b91340"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ba58966776b7e6fb81c5432968db43d"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a1ba58966776b7e6fb81c5432968db43d">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, int2 max_dims, int2 strides, int2 paddings)</td></tr>
<tr class="memdesc:a1ba58966776b7e6fb81c5432968db43d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 2. <a href="#a1ba58966776b7e6fb81c5432968db43d">More...</a><br /></td></tr>
<tr class="separator:a1ba58966776b7e6fb81c5432968db43d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad30794c96842e822dc6f2b992db79f97"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#ad30794c96842e822dc6f2b992db79f97">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, int2 max_dims, int2 strides, int2 paddings)</td></tr>
<tr class="memdesc:ad30794c96842e822dc6f2b992db79f97"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 3. <a href="#ad30794c96842e822dc6f2b992db79f97">More...</a><br /></td></tr>
<tr class="separator:ad30794c96842e822dc6f2b992db79f97"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
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<td class="memname">#define POOL_OP</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">x, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">y&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td>&#160;&#160;&#160;((x) + (y))</td>
</tr>
</table>
</div><div class="memdoc">
<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#l00068">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00126">pooling_layer_3()</a>.</p>
</div>
</div>
<h2 class="groupheader">Function Documentation</h2>
<a class="anchor" id="a60440813daa769d486c5786d52b91340"></a>
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<td class="memname">float calculate_avg_scale </td>
<td>(</td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>pool_size</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>upper_bound_w</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>upper_bound_h</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>pad_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>pad_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const int&#160;</td>
<td class="paramname"><em>stride_y</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
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</div><div class="memdoc">
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00032">32</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
<p>References <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>.</p>
<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00068">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00126">pooling_layer_3()</a>.</p>
<div class="fragment"><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordtype">int</span> start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">int</span> start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordtype">int</span> end_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_x + pool_size, upper_bound_w);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordtype">int</span> end_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_y + pool_size, upper_bound_h);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">return</span> 1.f / ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
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<td class="memname">__kernel void pooling_layer_2 </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>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>max_dims</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>strides</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>paddings</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>Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 </dd>
<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 -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: F16, F32 </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>
<tr><td class="paramdir">[in]</td><td class="paramname">max_dims</td><td>The maximum index that can be accessed in x and y dimension (width + pad) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>The pooling operation strides in each dimension </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">paddings</td><td>The pooling operation paddings in each dimension </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00068">68</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#l00032">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;{</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</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="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Load data</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</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="l00083"></a><span class="lineno"> 83</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="l00084"></a><span class="lineno"> 84</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="l00085"></a><span class="lineno"> 85</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="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="comment">// Perform calculations</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// Divide by 4 in case of average pooling</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="preprocessor">#ifdef POOL_AVG</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; res *= <a class="code" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a>(2, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;}</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#l00079">helpers.h:79</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a60440813daa769d486c5786d52b91340"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a></div><div class="ttdeci">float calculate_avg_scale(const int pool_size, 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#l00032">pooling_layer.cl:32</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00213">helpers.h:213</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div>
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<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>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>max_dims</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>strides</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int2&#160;</td>
<td class="paramname"><em>paddings</em>&#160;</td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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<p>Performs a pooling function of pool size equal to 3. </p>
<dl class="section note"><dt>Note</dt><dd>Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 </dd>
<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 -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: F16, F32 </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>
<tr><td class="paramdir">[in]</td><td class="paramname">max_dims</td><td>The maximum index that can be accessed in x and y dimension (width + pad) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>The pooling operation strides in each dimension </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">paddings</td><td>The pooling operation paddings in each dimension </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00126">126</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#l00032">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
<div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;{</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</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="l00137"></a><span class="lineno"> 137</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="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// Load data</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</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="l00141"></a><span class="lineno"> 141</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="l00142"></a><span class="lineno"> 142</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="l00143"></a><span class="lineno"> 143</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="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 3)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</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="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="comment">// Perform calculations</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data2);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</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="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="comment">// Divide by 4 in case of average pooling</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="preprocessor">#ifdef POOL_AVG</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; res *= <a class="code" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a>(3, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="preprocessor">#endif</span></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; <span class="comment">// Store result</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;}</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#l00079">helpers.h:79</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
<div class="ttc" id="pooling__layer_8cl_xhtml_a60440813daa769d486c5786d52b91340"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a></div><div class="ttdeci">float calculate_avg_scale(const int pool_size, 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#l00032">pooling_layer.cl:32</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00213">helpers.h:213</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div>
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