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| |
| <p><code>#include <<a class="el" href="_activation_layer_dataset_8h_source.xhtml">ActivationLayerDataset.h</a>></code></p> |
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| Collaboration diagram for GoogLeNetActivationLayerDataset:</div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:af33d55895f6171a96db2c6b0c4ca1684"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#af33d55895f6171a96db2c6b0c4ca1684">GoogLeNetActivationLayerDataset</a> ()</td></tr> |
| <tr class="separator:af33d55895f6171a96db2c6b0c4ca1684"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8874c687fb370a0843884113012166c4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#a8874c687fb370a0843884113012166c4">~GoogLeNetActivationLayerDataset</a> ()=default</td></tr> |
| <tr class="separator:a8874c687fb370a0843884113012166c4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1test_1_1_generic_dataset')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset< T, Size ></a></td></tr> |
| <tr class="memitem:a90ca964ebcc1b02bbcde225edd49e812 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#a90ca964ebcc1b02bbcde225edd49e812">size</a> () const </td></tr> |
| <tr class="memdesc:a90ca964ebcc1b02bbcde225edd49e812 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="mdescLeft"> </td><td class="mdescRight">Number of samples in the data set. <a href="#a90ca964ebcc1b02bbcde225edd49e812">More...</a><br /></td></tr> |
| <tr class="separator:a90ca964ebcc1b02bbcde225edd49e812 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#a92018aaebaa55e9d9346436e3d34b8d8">iterator</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a> () const </td></tr> |
| <tr class="memdesc:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> to the first sample in the data set. <a href="#a2fcbf5359798ec294d009f286fd802e6">More...</a><br /></td></tr> |
| <tr class="separator:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1_generic_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| Additional Inherited Members</h2></td></tr> |
| <tr class="inherit_header pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarm__compute_1_1test_1_1_generic_dataset')"><img src="closed.png" alt="-"/> Public Types inherited from <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset< T, Size ></a></td></tr> |
| <tr class="memitem:adc29c2ff13d900c2f185ee95427fb06c inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom">{ <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#adc29c2ff13d900c2f185ee95427fb06ca3e9a21bf74887eff2f2826d1478670b2">arity</a> = 1 |
| }<tr class="memdesc:adc29c2ff13d900c2f185ee95427fb06c"><td class="mdescLeft"> </td><td class="mdescRight">Dimensionality of the data set. <a href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#adc29c2ff13d900c2f185ee95427fb06c">More...</a><br /></td></tr> |
| </td></tr> |
| <tr class="separator:adc29c2ff13d900c2f185ee95427fb06c inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9e5ead56d378d840357b0d588680759a inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#a9e5ead56d378d840357b0d588680759a">sample</a> = T</td></tr> |
| <tr class="memdesc:a9e5ead56d378d840357b0d588680759a inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="mdescLeft"> </td><td class="mdescRight">Type of the samples in the data set. <a href="#a9e5ead56d378d840357b0d588680759a">More...</a><br /></td></tr> |
| <tr class="separator:a9e5ead56d378d840357b0d588680759a inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a92018aaebaa55e9d9346436e3d34b8d8 inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#a92018aaebaa55e9d9346436e3d34b8d8">iterator</a> = const T *</td></tr> |
| <tr class="memdesc:a92018aaebaa55e9d9346436e3d34b8d8 inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="mdescLeft"> </td><td class="mdescRight">Type of the iterator used to step through all samples in the data set. <a href="#a92018aaebaa55e9d9346436e3d34b8d8">More...</a><br /></td></tr> |
| <tr class="separator:a92018aaebaa55e9d9346436e3d34b8d8 inherit pub_types_classarm__compute_1_1test_1_1_generic_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p>Definition at line <a class="el" href="_activation_layer_dataset_8h_source.xhtml#l00096">96</a> of file <a class="el" href="_activation_layer_dataset_8h_source.xhtml">ActivationLayerDataset.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a class="anchor" id="af33d55895f6171a96db2c6b0c4ca1684"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml">GoogLeNetActivationLayerDataset</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Definition at line <a class="el" href="_activation_layer_dataset_8h_source.xhtml#l00099">99</a> of file <a class="el" href="_activation_layer_dataset_8h_source.xhtml">ActivationLayerDataset.h</a>.</p> |
| |
| <p>References <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::RELU</a>, and <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  : GenericDataset</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">// conv1/relu_7x7</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  ActivationLayerDataObject{ TensorShape(112U, 112U, 64U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// conv2/relu_3x3_reduce</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  ActivationLayerDataObject{ TensorShape(56U, 56U, 64U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// conv2/relu_3x3</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  ActivationLayerDataObject{ TensorShape(56U, 56U, 192U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// inception_3a/relu_1x1, inception_3b/relu_pool_proj</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 64U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// inception_3a/relu_3x3_reduce, inception_3b/relu_5x5</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 96U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 128U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// inception_3a/relu_5x5_reduce</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 16U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 32U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// inception_3b/relu_3x3</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  ActivationLayerDataObject{ TensorShape(28U, 28U, 192U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// inception_4a/relu_1x1</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 192U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// inception_4a/relu_3x3_reduce</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 96U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// inception_4a/relu_3x3</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 208U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// inception_4a/relu_5x5_reduce</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 16U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// inception_4a/relu_5x5</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 48U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// inception_4a/relu_pool_proj, inception_4b/relu_5x5, inception_4b/relu_pool_proj, inception_4c/relu_5x5, inception_4c/relu_pool_proj, inception_4d/relu_5x5, inception_4d/relu_pool_proj</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 64U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// inception_4b/relu_1x1, inception_4e/relu_3x3_reduce</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 160U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// inception_4b/relu_3x3_reduce, inception_4d/relu_1x1</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 112U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// inception_4b/relu_3x3</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 224U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 24U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 128U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// inception_4c/relu_3x3, inception_4e/relu_1x1</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 256U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// inception_4d/relu_3x3_reduce</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 144U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// inception_4d/relu_3x3</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 288U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 32U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// inception_4e/relu_3x3</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ActivationLayerDataObject{ TensorShape(14U, 14U, 320U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// inception_5a/relu_1x1</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 256U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// inception_5a/relu_3x3_reduce</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 160U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// inception_5a/relu_3x3</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 320U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// inception_5a/relu_5x5_reduce</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 32U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 128U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// inception_5b/relu_1x1, inception_5b/relu_3x3</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 384U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="comment">// inception_5b/relu_3x3_reduce</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 192U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) },</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// inception_5b/relu_5x5_reduce</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  ActivationLayerDataObject{ TensorShape(7U, 7U, 48U), ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>) }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div><div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier. </div></div> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml">GoogLeNetActivationLayerDataset</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>tests/dataset/<a class="el" href="_activation_layer_dataset_8h_source.xhtml">ActivationLayerDataset.h</a></li> |
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