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 117 <div class="header">
 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">GoogLeNetInceptionV4DirectConvolutionLayerDataset Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>A subset of GoogLeNetInceptionV4 convolution layers with filter dimensions supported by DirectConvolution kernel.
 126  <a href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>&gt;</code></p>
 129 <div class="dynheader">
 130 Collaboration diagram for GoogLeNetInceptionV4DirectConvolutionLayerDataset:</div>
 131 <div class="dyncontent">
 132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset__coll__graph.svg" width="218" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 133 </div>
 134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 135 <table class="memberdecls">
 136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 137 Public Member Functions</h2></td></tr>
 138 <tr class="memitem:a90f7d9e9a8a5c2f6e835731554319481"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml#a90f7d9e9a8a5c2f6e835731554319481">GoogLeNetInceptionV4DirectConvolutionLayerDataset</a> ()</td></tr>
 139 <tr class="separator:a90f7d9e9a8a5c2f6e835731554319481"><td class="memSeparator" colspan="2">&#160;</td></tr>
 140 <tr class="inherit_header pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml">ConvolutionLayerDataset</a></td></tr>
 141 <tr class="memitem:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml">iterator</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a> () const </td></tr>
 142 <tr class="separator:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 <tr class="memitem:ab8e4e3e2a7bf18888b71bdf9dda0770b inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">size</a> () const </td></tr>
 144 <tr class="separator:ab8e4e3e2a7bf18888b71bdf9dda0770b inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:a3f1ddb8fe464be68a02cc1b81ee5e3e7 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> src, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> biases, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> dst, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> info)</td></tr>
 146 <tr class="separator:a3f1ddb8fe464be68a02cc1b81ee5e3e7 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 </table><table class="memberdecls">
 148 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
 149 Additional Inherited Members</h2></td></tr>
 150 <tr class="inherit_header pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml">ConvolutionLayerDataset</a></td></tr>
 151 <tr class="memitem:aa29c9ab44036acf654b39611cee4b024 inherit pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#aa29c9ab44036acf654b39611cee4b024">type</a> = std::tuple&lt; <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &gt;</td></tr>
 152 <tr class="separator:aa29c9ab44036acf654b39611cee4b024 inherit pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2">&#160;</td></tr>
 153 </table>
 154 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 155 <div class="textblock"><p>A subset of GoogLeNetInceptionV4 convolution layers with filter dimensions supported by DirectConvolution kernel. </p>
 156
 157 <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00147">147</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p>
 158 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 159 <a class="anchor" id="a90f7d9e9a8a5c2f6e835731554319481"></a>
 160 <div class="memitem">
 161 <div class="memproto">
 162 <table class="mlabels">
 163   <tr>
 164   <td class="mlabels-left">
 165       <table class="memname">
 166         <tr>
 167           <td class="memname"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml">GoogLeNetInceptionV4DirectConvolutionLayerDataset</a> </td>
 168           <td>(</td>
 169           <td class="paramname"></td><td>)</td>
 170           <td></td>
 171         </tr>
 172       </table>
 173   </td>
 174   <td class="mlabels-right">
 175 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 176   </tr>
 177 </table>
 178 </div><div class="memdoc">
 179
 180 <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00151">151</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p>
 181
 182 <p>References <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00103">ConvolutionLayerDataset::add_config()</a>, and <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p>
 183 <div class="fragment"><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="comment">// conv1_3x3_s2</span></div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        <span class="comment">// conv2_3x3_s1</span></div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        <span class="comment">// conv3_3x3_s1</span></div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <span class="comment">// inception_stem1_3x3_s2</span></div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <span class="comment">// inception_stem2_3x3_reduce, inception_stem2_1x7_reduce</span></div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;        <span class="comment">// inception_stem2_3x3, inception_stem2_3x3_2</span></div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;        <span class="comment">// inception_stem3_3x3_s2</span></div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;        <span class="comment">// inception_a1_1x1_2, inception_a1_1x1, inception_a2_1x1_2, inception_a2_1x1, inception_a3_1x1_2, inception_a3_1x1, inception_a4_1x1_2, inception_a4_1x1</span></div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <span class="comment">// inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce</span></div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        <span class="comment">// inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2</span></div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        <span class="comment">// inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3</span></div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;        <span class="comment">// reduction_a_3x3</span></div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        <span class="comment">// reduction_a_3x3_2_reduce</span></div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;        <span class="comment">// reduction_a_3x3_2</span></div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        <span class="comment">// reduction_a_3x3_3</span></div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        <span class="comment">// inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2</span></div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        <span class="comment">// inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce</span></div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        <span class="comment">// inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1</span></div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(17U, 17U, 128U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;        <span class="comment">// reduction_b_3x3</span></div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        <span class="comment">// reduction_b_1x7_reduce</span></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        <span class="comment">// reduction_b_3x3_2</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        <span class="comment">// inception_c1_1x1_2, inception_c1_1x1, inception_c2_1x1_2, inception_c2_1x1, inception_c3_1x1_2, inception_c3_1x1</span></div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        <span class="comment">// inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4</span></div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_xhtml_a3f1ddb8fe464be68a02cc1b81ee5e3e7"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">arm_compute::test::datasets::ConvolutionLayerDataset::add_config</a></div><div class="ttdeci">void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00103">ConvolutionLayerDataset.h:103</a></div></div>
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