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| <a href="#define-members">Macros</a> | |
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| <div class="title">pooling_layer_quantized.cl File Reference</div> </div> |
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| <div class="textblock"><code>#include "<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>"</code><br /> |
| </div> |
| <p><a href="pooling__layer__quantized_8cl_source.xhtml">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a> |
| Macros</h2></td></tr> |
| <tr class="memitem:a482ef7d59a5f474ca126e737c7f0978a"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(x, y)   ((x) + (y))</td></tr> |
| <tr class="separator:a482ef7d59a5f474ca126e737c7f0978a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5db17889d824975fefb2ce2f4690637f"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(x, y)   (x * (1.f / y))</td></tr> |
| <tr class="separator:a5db17889d824975fefb2ce2f4690637f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6c01fa98d360a9d52926dc6a5a599711"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a>(x, y)   (convert_float8(x) * (float8)(1.f / y))</td></tr> |
| <tr class="separator:a6c01fa98d360a9d52926dc6a5a599711"><td class="memSeparator" colspan="2"> </td></tr> |
| </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:a4057c01dd49145c5e463f1cea52542df"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">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:a4057c01dd49145c5e463f1cea52542df"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5c74cefcb6318451b5785dd00bd9b05f"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">pooling_layer_MxN_quantized_nchw</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:a5c74cefcb6318451b5785dd00bd9b05f"><td class="mdescLeft"> </td><td class="mdescRight">Performs a pooling function of pool size equal to N (NCHW) <a href="#a5c74cefcb6318451b5785dd00bd9b05f">More...</a><br /></td></tr> |
| <tr class="separator:a5c74cefcb6318451b5785dd00bd9b05f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a235920cb0f8577da6e104ccb03fbda25"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">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:a235920cb0f8577da6e104ccb03fbda25"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1231ef5ce1d409f6bd145e971fa7e2ea"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer__quantized_8cl.xhtml#a1231ef5ce1d409f6bd145e971fa7e2ea">pooling_layer_MxN_quantized_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_stride_w, uint input_step_w, 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_stride_w, uint output_step_w, uint output_offset_first_element_in_bytes)</td></tr> |
| <tr class="memdesc:a1231ef5ce1d409f6bd145e971fa7e2ea"><td class="mdescLeft"> </td><td class="mdescRight">Performs a pooling function of pool size equal to N (NHWC) <a href="#a1231ef5ce1d409f6bd145e971fa7e2ea">More...</a><br /></td></tr> |
| <tr class="separator:a1231ef5ce1d409f6bd145e971fa7e2ea"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Macro Definition Documentation</h2> |
| <a id="a5db17889d824975fefb2ce2f4690637f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5db17889d824975fefb2ce2f4690637f">◆ </a></span>DIV_OP</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">#define DIV_OP</td> |
| <td>(</td> |
| <td class="paramtype"> </td> |
| <td class="paramname">x, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"> </td> |
| <td class="paramname">y </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td>   (x * (1.f / y))</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00047">47</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a6c01fa98d360a9d52926dc6a5a599711"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6c01fa98d360a9d52926dc6a5a599711">◆ </a></span>DIV_OP_NHWC</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">#define DIV_OP_NHWC</td> |
| <td>(</td> |
| <td class="paramtype"> </td> |
| <td class="paramname">x, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"> </td> |
| <td class="paramname">y </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td>   (convert_float8(x) * (float8)(1.f / y))</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00049">49</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a482ef7d59a5f474ca126e737c7f0978a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a482ef7d59a5f474ca126e737c7f0978a">◆ </a></span>POOL_OP</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">#define POOL_OP</td> |
| <td>(</td> |
| <td class="paramtype"> </td> |
| <td class="paramname">x, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"> </td> |
| <td class="paramname">y </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td>   ((x) + (y))</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00042">42</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="a4057c01dd49145c5e463f1cea52542df"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a4057c01dd49145c5e463f1cea52542df">◆ </a></span>calculate_avg_scale()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int calculate_avg_scale </td> |
| <td>(</td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pool_size_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pool_size_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>upper_bound_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>upper_bound_h</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pad_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pad_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>stride_y</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00055">55</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">int</span> start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">int</span> start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <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="l00061"></a><span class="lineno"> 61</span>  <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="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#if defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  start_x = max(0, start_x);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  start_y = max(0, start_y);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00095">pooling_layer_MxN_quantized_nchw()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a235920cb0f8577da6e104ccb03fbda25"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a235920cb0f8577da6e104ccb03fbda25">◆ </a></span>calculate_avg_scale_nhwc()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int calculate_avg_scale_nhwc </td> |
| <td>(</td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pool_size_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pool_size_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>upper_bound_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>upper_bound_h</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pad_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>pad_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>stride_y</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00154">154</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">int</span> start_x = get_global_id(1) * stride_x - pad_x;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">int</span> start_y = (get_global_id(2) % DST_DEPTH) * stride_y - pad_y;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">int</span> start_y = get_global_id(2) * stride_y - pad_y;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <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="l00165"></a><span class="lineno"> 165</span>  <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="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  start_x = max(0, start_x);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  start_y = max(0, start_y);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00203">pooling_layer_MxN_quantized_nhwc()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a5c74cefcb6318451b5785dd00bd9b05f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5c74cefcb6318451b5785dd00bd9b05f">◆ </a></span>pooling_layer_MxN_quantized_nchw()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">__kernel void pooling_layer_MxN_quantized_nchw </td> |
| <td>(</td> |
| <td class="paramtype">__global uchar * </td> |
| <td class="paramname"><em>input_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">__global uchar * </td> |
| <td class="paramname"><em>output_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_offset_first_element_in_bytes</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Performs a pooling function of pool size equal to N (NCHW) </p> |
| <dl class="section note"><dt>Note</dt><dd>Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13; </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. -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: QASYMM8 </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 class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00095">95</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  int8 vdata = 0;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">int</span> sdata = 0;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < POOL_SIZE_Y; y++)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">int</span> x = 0;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span>(; x <= ((int)POOL_SIZE_X - 8); x += 8)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  uchar8 data = vload8(0, (__global uchar *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&input, x, y, 0));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  int8 data0 = convert_int8(data);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  vdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// Leftover</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span>(; x < (int)POOL_SIZE_X; ++x)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  uchar data = *((__global uchar *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&input, x, y, 0));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> data0 = convert_int(data);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  sdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(sdata, data0);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Reduce result</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  int4 reduce4 = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata.s0123, vdata.s4567);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  int2 reduce2 = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(reduce4.s01, reduce4.s23);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">int</span> res = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(reduce2.s0, reduce2.s1);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  res = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(res, sdata);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  res = <a class="code" href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">round</a>(<a class="code" href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(res, <a class="code" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</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="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  uchar result_u8 = convert_uchar(res);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="preprocessor">#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT)</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> result_f32 = convert_float(result_u8);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_offset = (float)OFFSET_IN1;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_scale = (float)SCALE_IN1;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_out = (float)SCALE_OUT;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> offset_out = (float)OFFSET_OUT;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> in_f32 = (result_f32 - input_offset) * input_scale;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> out_f32 = in_f32 / scale_out + offset_out;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  result_u8 = convert_uchar_sat(convert_int_rte(out_f32));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  *(__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = result_u8;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> }</div><div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer__quantized_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__quantized_8cl_source.xhtml#l00042">pooling_layer_quantized.cl:42</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00176">helpers.h:176</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aaae2b6b1c3f4404121346a4c27b22647"><div class="ttname"><a href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">arm_compute::round</a></div><div class="ttdeci">int round(float x, RoundingPolicy rounding_policy)</div><div class="ttdoc">Return a rounded value of x.</div><div class="ttdef"><b>Definition:</b> <a href="_rounding_8cpp_source.xhtml#l00035">Rounding.cpp:35</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div> |
| <div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a5db17889d824975fefb2ce2f4690637f"><div class="ttname"><a href="pooling__layer__quantized_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__quantized_8cl_source.xhtml#l00047">pooling_layer_quantized.cl:47</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">helpers.h:178</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div> |
| <div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a4057c01dd49145c5e463f1cea52542df"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</a></div><div class="ttdeci">int 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__quantized_8cl_source.xhtml#l00055">pooling_layer_quantized.cl:55</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00055">calculate_avg_scale()</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00047">DIV_OP</a>, <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00042">POOL_OP</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="_rounding_8cpp_source.xhtml#l00035">arm_compute::round()</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a1231ef5ce1d409f6bd145e971fa7e2ea"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1231ef5ce1d409f6bd145e971fa7e2ea">◆ </a></span>pooling_layer_MxN_quantized_nhwc()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">__kernel void pooling_layer_MxN_quantized_nhwc </td> |
| <td>(</td> |
| <td class="paramtype">__global uchar * </td> |
| <td class="paramname"><em>input_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_stride_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_step_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">__global uchar * </td> |
| <td class="paramname"><em>output_ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_z</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_stride_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_step_w</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint </td> |
| <td class="paramname"><em>output_offset_first_element_in_bytes</em> </td> |
| </tr> |
| <tr> |
| <td></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>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: QASYMM8 </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_stride_w</td><td>Stride of the source tensor in W dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_step_w</td><td>input_stride_w * number of elements along W 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 tensor in X dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>Stride of the destination tensor in Z dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_w</td><td>Stride of the destination tensor in W dimension (in bytes) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">output_step_w</td><td>output_stride_w * number of elements along W 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 class="definition">Definition at line <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00203">203</a> of file <a class="el" href="pooling__layer__quantized_8cl_source.xhtml">pooling_layer_quantized.cl</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(input, DST_DEPTH);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(output, DST_DEPTH);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  int8 vdata = 0;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> idx_width = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> idx_height = (get_global_id(2) % DST_DEPTH) * STRIDE_Y;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> idx_height = get_global_id(2) * STRIDE_Y;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < POOL_SIZE_Y; ++y)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordtype">int</span> y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y, PAD_Y - idx_height, y + idx_height - PAD_Y < 0 || y + idx_height - PAD_Y >= MAX_HEIGHT);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < POOL_SIZE_X; ++x)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">int</span> x1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(x, PAD_X - idx_width - 1, x + idx_width - PAD_X < 0 || x + idx_width - PAD_X >= MAX_WIDTH);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  x1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(x1, PAD_X - idx_width - 1, y != y1);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  uchar8 data = vload8(0, (__global uchar *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&input, 0, x1 - PAD_X, y1 - PAD_Y, 0));</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  uchar8 data = vload8(0, (__global uchar *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&input, 0, x1 - PAD_X, y1 - PAD_Y));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  int8 data0 = convert_int8(data);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  vdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// Divide by pool region in case of average pooling</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  vdata = convert_int8(<a class="code" href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">round</a>(<a class="code" href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a>(vdata, <a class="code" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">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="l00247"></a><span class="lineno"> 247</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  uchar8 out_u8 = convert_uchar8(vdata);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="preprocessor">#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT)</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  REQUANTIZE(8, out_u8, OFFSET_IN1, OFFSET_OUT, SCALE_IN1, SCALE_OUT, out_u8);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  vstore8(out_u8, 0, (__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> }</div><div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer__quantized_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__quantized_8cl_source.xhtml#l00042">pooling_layer_quantized.cl:42</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00176">helpers.h:176</a></div></div> |
| <div class="ttc" id="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00186">helpers.h:186</a></div></div> |
| <div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a235920cb0f8577da6e104ccb03fbda25"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">calculate_avg_scale_nhwc</a></div><div class="ttdeci">int 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__quantized_8cl_source.xhtml#l00154">pooling_layer_quantized.cl:154</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_ad442fb5ec8be1fff97f543150de5d822"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a></div><div class="ttdeci">__global const uchar * tensor4D_offset(const Tensor4D *tensor, int x, int y, int z, int w)</div><div class="ttdoc">Get the pointer position of a Tensor4D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00353">helpers.h:353</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a23b9032d1b9d59547545e457f82ee478"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_aaae2b6b1c3f4404121346a4c27b22647"><div class="ttname"><a href="namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647">arm_compute::round</a></div><div class="ttdeci">int round(float x, RoundingPolicy rounding_policy)</div><div class="ttdoc">Return a rounded value of x.</div><div class="ttdef"><b>Definition:</b> <a href="_rounding_8cpp_source.xhtml#l00035">Rounding.cpp:35</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af77145fbdc6b0c8931148f5597d9de53"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">arm_compute::test::validation::select</a></div><div class="ttdeci">CLSelect select</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00164">Select.cpp:164</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">helpers.h:178</a></div></div> |
| <div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a6c01fa98d360a9d52926dc6a5a599711"><div class="ttname"><a href="pooling__layer__quantized_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__quantized_8cl_source.xhtml#l00049">pooling_layer_quantized.cl:49</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00154">calculate_avg_scale_nhwc()</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00151">CONVERT_TO_TENSOR4D_STRUCT</a>, <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00049">DIV_OP_NHWC</a>, <a class="el" href="pooling__layer__quantized_8cl_source.xhtml#l00042">POOL_OP</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="_rounding_8cpp_source.xhtml#l00035">arm_compute::round()</a>, <a class="el" href="_c_l_2_select_8cpp_source.xhtml#l00164">arm_compute::test::validation::select</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00353">tensor4D_offset()</a>.</p> |
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