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117 <div class="title">PoolingLayer.cpp</div> </div>
119 <div class="contents">
120 <a href="validation_2reference_2_pooling_layer_8cpp.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="_pooling_layer_8h.xhtml">PoolingLayer.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">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_shape_calculator_8h.xhtml">arm_compute/core/utils/misc/ShapeCalculator.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_fixed_point_8h.xhtml">tests/validation/FixedPoint.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>validation</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>reference</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> template <typename T, typename std::enable_if<is_floating_point<T>::value, <span class="keywordtype">int</span>>::type></div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5"> 42</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() && (src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() != src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y()));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">compute_pool_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()), info), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_x = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">PoolingType</a> type = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">pool_type</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordtype">int</span> pool_stride_x = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().first;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">int</span> pool_stride_y = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().second;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordtype">int</span> pad_left = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">pad_left</a>();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">int</span> pad_top = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">pad_top</a>();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">int</span> pad_right = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">pad_right</a>();</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">int</span> pad_bottom = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">pad_bottom</a>();</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">bool</span> exclude_padding = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">exclude_padding</a>();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <span class="keyword">auto</span> w_src = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> <span class="keyword">auto</span> h_src = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (w_src * h_src);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> <span class="keyword">auto</span> w_dst = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[0]);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <span class="keyword">auto</span> h_dst = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[1]);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r < upper_dims; ++r)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h < h_dst; ++h)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w < w_dst; ++w)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">int</span> wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">int</span> hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  wstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  hstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  T max_val = std::numeric_limits<T>::lowest();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++y)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++x)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">if</span>(val > max_val)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  max_val = val;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</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> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = max_val;</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>  }</div><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>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">else</span> <span class="comment">// Average or l2 pooling</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="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r < upper_dims; ++r)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h < h_dst; ++h)</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="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w < w_dst; ++w)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  T avg_val(0);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">int</span> wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src + pad_right);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">int</span> hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src + pad_bottom);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">int</span> pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  wstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  hstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wend, w_src);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hend, h_src);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Exclude padding pixels from the average</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span>(exclude_padding)</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>  pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</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>  <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">PoolingType::AVG</a>)</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="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++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="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++x)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  avg_val += src[r * h_src * w_src + y * w_src + x];</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>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = avg_val / pool;</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="keywordflow">else</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++y)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++x)</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="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  avg_val += val * val;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = std::sqrt(avg_val / pool);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</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>  }</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> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> template <typename T, typename std::enable_if<std::is_integral<T>::value, <span class="keywordtype">int</span>>::type></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() && (src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() != src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y()));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <span class="keyword">auto</span> w_src = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <span class="keyword">auto</span> h_src = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (w_src * h_src);</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> pool_size_x = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">PoolingType</a> type = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">pool_type</a>();</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">int</span> pool_stride_x = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().first;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">int</span> pool_stride_y = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().second;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">int</span> pad_left = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">pad_left</a>();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">int</span> pad_top = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">pad_top</a>();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordtype">int</span> pad_right = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">pad_right</a>();</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">int</span> pad_bottom = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">pad_bottom</a>();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">bool</span> exclude_padding = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">exclude_padding</a>();</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// Create reference</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">compute_pool_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()), info), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</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="keyword">const</span> <span class="keyword">auto</span> w_dst = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[0]);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keyword">auto</span> h_dst = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[1]);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r < upper_dims; ++r)</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h < h_dst; ++h)</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>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w < w_dst; ++w)</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="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">int</span> wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">int</span> hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  wstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  hstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</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>  T max_val = std::numeric_limits<T>::lowest();</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++y)</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++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="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">if</span>(val > max_val)</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>  max_val = val;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div><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>  }</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = max_val;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</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>  <span class="keywordflow">else</span> <span class="comment">// Average or l2 pooling</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>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r < upper_dims; ++r)</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="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h < h_dst; ++h)</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="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w < w_dst; ++w)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">int</span> wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src + pad_right);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">int</span> hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src + pad_bottom);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">int</span> pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  wstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  hstart = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  wend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wend, w_src);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  hend = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hend, h_src);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// Exclude padding pixels from the average</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">if</span>(exclude_padding)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">using namespace </span>fixed_point_arithmetic;</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>  <span class="keyword">const</span> <span class="keywordtype">int</span> fixed_point_position = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>();</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> fixed_point<T> const_1(1, fixed_point_position);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> fixed_point<T> invpool_fp(1.f / static_cast<float>(pool), fixed_point_position);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  fixed_point<T> avg_val(0, fixed_point_position, <span class="keyword">true</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="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">PoolingType::AVG</a>)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++y)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++x)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> fixed_point<T> in_fp(src[r * h_src * w_src + y * w_src + x], fixed_point_position, <span class="keyword">true</span>);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  avg_val = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">add</a>(avg_val, in_fp);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</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>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(avg_val, invpool_fp).raw();</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y < hend; ++y)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x < wend; ++x)</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">const</span> fixed_point<T> in_fp(src[r * h_src * w_src + y * w_src + x], fixed_point_position, <span class="keyword">true</span>);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  avg_val = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">add</a>(avg_val, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(in_fp, in_fp));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">auto</span> res = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">div</a>(const_1, (<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">inv_sqrt</a>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(avg_val, invpool_fp))));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = res.raw();</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632"> 278</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632">pooling_layer<uint8_t></a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> src_tmp = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</a>(src);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> dst_tmp = pooling_layer<float>(src_tmp, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">convert_to_asymmetric</a>(dst_tmp, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>());</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &info);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<half></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<half></a> &src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &info);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<qint8_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<qint8_t></a> &src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &info);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<qint16_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<qint16_t></a> &src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &info);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> } <span class="comment">// namespace reference</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a8d71db736fe80cae37a9c94c57b34ed6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">arm_compute::test::fixed_point_arithmetic::detail::mul</a></div><div class="ttdeci">fixed_point< T > mul(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00917">FixedPoint.h:917</a></div></div>
121 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
122 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a8ec75d4a941a9762431094479527f954"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">arm_compute::PoolingLayerInfo::pool_size</a></div><div class="ttdeci">const Size2D & pool_size() const </div><div class="ttdoc">Get the pooling size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00744">Types.h:744</a></div></div>
123 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00337">SimpleTensor.h:337</a></div></div>
124 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a3c82dfc72060f59eccf0bd096b81c5d5"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">arm_compute::PoolingLayerInfo::pad_stride_info</a></div><div class="ttdeci">PadStrideInfo pad_stride_info() const </div><div class="ttdoc">Get the padding and stride. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00749">Types.h:749</a></div></div>
125 <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
126 <div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
127 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
128 <div class="ttc" id="tests_2validation_2_fixed_point_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
129 <div class="ttc" id="_pooling_layer_8h_xhtml"><div class="ttname"><a href="_pooling_layer_8h.xhtml">PoolingLayer.h</a></div></div>
130 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -> set_format(Format::S16)</div></div>
131 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
132 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02afeaaf8574e7a78d6b466ff2695052"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">arm_compute::Size2D::height</a></div><div class="ttdeci">size_t height</div><div class="ttdoc">Height of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00093">Size2D.h:93</a></div></div>
133 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a078456fcb5fe2091665e52e650cd46c6"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">arm_compute::PoolingLayerInfo::exclude_padding</a></div><div class="ttdeci">bool exclude_padding() const </div><div class="ttdoc">Check if padding is excluded in calculations. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00754">Types.h:754</a></div></div>
134 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d91c0affa9bc1921abc949791c514c0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">arm_compute::test::fixed_point_arithmetic::detail::add</a></div><div class="ttdeci">fixed_point< T > add(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00907">FixedPoint.h:907</a></div></div>
135 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml_ad242bedd6845b8fc13ade41cfc062c83"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">arm_compute::misc::shape_calculator::compute_pool_shape</a></div><div class="ttdeci">TensorShape compute_pool_shape(const ITensorInfo &input, PoolingLayerInfo pool_info)</div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00329">ShapeCalculator.h:329</a></div></div>
136 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a291a16e64b05bdf4d08e1240d5bb286a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor< uint8_t > convert_to_asymmetric(const SimpleTensor< float > &src, const QuantizationInfo &quantization_info)</div><div class="ttdoc">Convert float simple tensor into quantized using specified quantization information. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00146">Helpers.cpp:146</a></div></div>
137 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ab4bcb7b9d8fde762fc6334655d17d632"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632">arm_compute::test::validation::reference::pooling_layer< uint8_t ></a></div><div class="ttdeci">SimpleTensor< uint8_t > pooling_layer< uint8_t >(const SimpleTensor< uint8_t > &src, const PoolingLayerInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_pooling_layer_8cpp_source.xhtml#l00278">PoolingLayer.cpp:278</a></div></div>
138 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a9f690c5421273f6af88ec6e1434d5cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">arm_compute::test::validation::reference::pooling_layer</a></div><div class="ttdeci">SimpleTensor< T > pooling_layer(const SimpleTensor< T > &src, const PoolingLayerInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_pooling_layer_8cpp_source.xhtml#l00042">PoolingLayer.cpp:42</a></div></div>
139 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_ad2f1ea50a9e215ad8ef612a724a4866a"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">arm_compute::PadStrideInfo::stride</a></div><div class="ttdeci">std::pair< unsigned int, unsigned int > stride() const </div><div class="ttdoc">Get the stride. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00619">Types.h:619</a></div></div>
140 <div class="ttc" id="_shape_calculator_8h_xhtml"><div class="ttname"><a href="_shape_calculator_8h.xhtml">ShapeCalculator.h</a></div></div>
141 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a2d3a66a044dcf4217d97f6b47319d5f1"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">arm_compute::PadStrideInfo::pad_bottom</a></div><div class="ttdeci">unsigned int pad_bottom() const </div><div class="ttdoc">Get the bottom padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00660">Types.h:660</a></div></div>
142 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
143 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a2b7623d9dd3fde1d0a3bbe034967cff5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">arm_compute::test::fixed_point_arithmetic::detail::inv_sqrt</a></div><div class="ttdeci">fixed_point< T > inv_sqrt(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00947">FixedPoint.h:947</a></div></div>
144 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_afaaf8f4d7fa22fe9a3f4ff41567cd886"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">arm_compute::PadStrideInfo::pad_right</a></div><div class="ttdeci">unsigned int pad_right() const </div><div class="ttdoc">Get the right padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00650">Types.h:650</a></div></div>
145 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
146 <div class="ttc" id="namespacearm__compute_xhtml_a9172da722f0a434e5cc07c0a3c115d93"><div class="ttname"><a href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">arm_compute::PoolingType</a></div><div class="ttdeci">PoolingType</div><div class="ttdoc">Available pooling types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00563">Types.h:563</a></div></div>
147 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div>
148 <div class="ttc" id="namespacearm__compute_xhtml_a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a"><div class="ttname"><a href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">arm_compute::PoolingType::AVG</a></div><div class="ttdoc">Average Pooling. </div></div>
149 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a377481844bf0459e5ef871cc72d72496"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">arm_compute::PadStrideInfo::pad_left</a></div><div class="ttdeci">unsigned int pad_left() const </div><div class="ttdoc">Get the left padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00645">Types.h:645</a></div></div>
150 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a7e8311a3a774bceb8efae1d5c8c8aeff"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">arm_compute::PoolingLayerInfo::pool_type</a></div><div class="ttdeci">PoolingType pool_type() const </div><div class="ttdoc">Get the pooling type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00739">Types.h:739</a></div></div>
151 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab24849be91cfb00a72f7a61a7e00fdb7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">arm_compute::test::validation::convert_from_asymmetric</a></div><div class="ttdeci">SimpleTensor< float > convert_from_asymmetric(const SimpleTensor< uint8_t > &src)</div><div class="ttdoc">Convert quantized simple tensor into float using tensor quantization information. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00134">Helpers.cpp:134</a></div></div>
152 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d53af9692ab2f7ae6fc0017faeb46f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">arm_compute::test::fixed_point_arithmetic::detail::div</a></div><div class="ttdeci">fixed_point< T > div(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00922">FixedPoint.h:922</a></div></div>
153 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
154 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00037">ShapeCalculator.h:37</a></div></div>
155 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
156 <div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">arm_compute::NonLinearFilterFunction::MAX</a></div><div class="ttdoc">Non linear dilate. </div></div>
157 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::SimpleTensor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00312">SimpleTensor.h:312</a></div></div>
158 <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
159 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a658e806b42869826f29b9288505da774"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">arm_compute::PoolingLayerInfo::is_global_pooling</a></div><div class="ttdeci">bool is_global_pooling() const </div><div class="ttdoc">Check if is global pooling. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00759">Types.h:759</a></div></div>
160 <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00688">Types.h:688</a></div></div>
161 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::SimpleTensor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Number of bits for the fractional part. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00306">SimpleTensor.h:306</a></div></div>
162 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
163 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a2a86593e913939d9eadad26c2df65138"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">arm_compute::PadStrideInfo::pad_top</a></div><div class="ttdeci">unsigned int pad_top() const </div><div class="ttdoc">Get the top padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00655">Types.h:655</a></div></div>
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169 <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_46fdb196cebdbffe77dac340cde62f29.xhtml">reference</a></li><li class="navelem"><a class="el" href="validation_2reference_2_pooling_layer_8cpp.xhtml">PoolingLayer.cpp</a></li>
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172 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>