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| <a href="pooling__layer__quantized_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a"> 27</a></span> <span class="preprocessor">#define POOL_OP(x, y) ((x) + (y))</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#else </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define POOL_OP(x, y) (max((x), (y)))</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f"> 32</a></span> <span class="preprocessor">#define DIV_OP(x, y) (x * (1.f / y))</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711"> 34</a></span> <span class="preprocessor">#define DIV_OP_NHWC(x, y) (convert_float8(x) * (float8)(1.f / y))</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#error "L2 pooling is not supported"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df"> 40</a></span> <span class="keywordtype">int</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y, <span class="keyword">const</span> <span class="keywordtype">int</span> upper_bound_w, <span class="keyword">const</span> <span class="keywordtype">int</span> upper_bound_h,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pad_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">int</span> start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">int</span> start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</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="l00046"></a><span class="lineno"> 46</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="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#if defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  start_x = max(0, start_x);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  start_y = max(0, start_y);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f"> 80</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">pooling_layer_MxN_quantized_nchw</a>(</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</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="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  int8 vdata = 0;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">int</span> sdata = 0;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < POOL_SIZE_Y; y++)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">int</span> x = 0;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">for</span>(; x <= ((int)POOL_SIZE_X - 8); x += 8)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</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="l00098"></a><span class="lineno"> 98</span>  int8 data0 = convert_int8(data);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  vdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Leftover</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">for</span>(; x < (int)POOL_SIZE_X; ++x)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</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="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">int</span> data0 = convert_int(data);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  sdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(sdata, data0);</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>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Reduce result</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</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="l00113"></a><span class="lineno"> 113</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="l00114"></a><span class="lineno"> 114</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="l00115"></a><span class="lineno"> 115</span>  res = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(res, sdata);</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="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</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="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  *(__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = convert_uchar(res);</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"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25"> 125</a></span> <span class="keywordtype">int</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">calculate_avg_scale_nhwc</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y, <span class="keywordtype">int</span> upper_bound_w, <span class="keywordtype">int</span> upper_bound_h,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pad_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">int</span> start_x = get_global_id(1) * stride_x - pad_x;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">int</span> start_y = (get_global_id(2) % DST_DEPTH) * stride_y - pad_y;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">int</span> start_y = get_global_id(2) * stride_y - pad_y;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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="l00136"></a><span class="lineno"> 136</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="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  start_x = max(0, start_x);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  start_y = max(0, start_y);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a1231ef5ce1d409f6bd145e971fa7e2ea"> 174</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a1231ef5ce1d409f6bd145e971fa7e2ea">pooling_layer_MxN_quantized_nhwc</a>(</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(output))</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</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="l00181"></a><span class="lineno"> 181</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="l00182"></a><span class="lineno"> 182</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</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="l00184"></a><span class="lineno"> 184</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="l00185"></a><span class="lineno"> 185</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  int8 vdata = 0;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</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="l00190"></a><span class="lineno"> 190</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</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="l00192"></a><span class="lineno"> 192</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</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="l00194"></a><span class="lineno"> 194</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < POOL_SIZE_Y; ++y)</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordtype">int</span> y1 = select(y, PAD_Y - idx_height, y + idx_height - PAD_Y < 0 || y + idx_height - PAD_Y >= MAX_HEIGHT);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < POOL_SIZE_X; ++x)</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">int</span> x1 = select(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="l00202"></a><span class="lineno"> 202</span>  x1 = select(x1, PAD_X - idx_width - 1, y != y1);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</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="l00206"></a><span class="lineno"> 206</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</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="l00208"></a><span class="lineno"> 208</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  int8 data0 = convert_int8(data);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  vdata = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Divide by pool region in case of average pooling</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</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="l00218"></a><span class="lineno"> 218</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  vstore8(convert_uchar8(vdata), 0, (__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div><div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a5c74cefcb6318451b5785dd00bd9b05f"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">pooling_layer_MxN_quantized_nchw</a></div><div class="ttdeci">__kernel void pooling_layer_MxN_quantized_nchw(__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)</div><div class="ttdoc">Performs a pooling function of pool size equal to N (NCHW) </div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00080">pooling_layer_quantized.cl:80</a></div></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#l00027">pooling_layer_quantized.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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00157">helpers.h:157</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#l00167">helpers.h:167</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#l00125">pooling_layer_quantized.cl:125</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#l00334">helpers.h:334</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#l00132">helpers.h:132</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#l00125">helpers.h:125</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#l00032">pooling_layer_quantized.cl:32</a></div></div> |
| <div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a1231ef5ce1d409f6bd145e971fa7e2ea"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a1231ef5ce1d409f6bd145e971fa7e2ea">pooling_layer_MxN_quantized_nhwc</a></div><div class="ttdeci">__kernel void pooling_layer_MxN_quantized_nhwc(__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)</div><div class="ttdoc">Performs a pooling function of pool size equal to N (NHWC) </div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00174">pooling_layer_quantized.cl:174</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00092">helpers.h:92</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#l00159">helpers.h:159</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#l00034">pooling_layer_quantized.cl:34</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00082">helpers.h:82</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#l00321">helpers.h:321</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#l00040">pooling_layer_quantized.cl:40</a></div></div> |
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