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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">GoogLeNetInceptionV4ConvolutionLayerDataset Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <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>
 126 <div class="dynheader">
 127 Collaboration diagram for GoogLeNetInceptionV4ConvolutionLayerDataset:</div>
 128 <div class="dyncontent">
 129 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset__coll__graph.svg" width="255" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 130 </div>
 131 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 132 <table class="memberdecls">
 133 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 134 Public Member Functions</h2></td></tr>
 135 <tr class="memitem:a8d29b2e598c645471e9b978e4317d3d9"><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_convolution_layer_dataset.xhtml#a8d29b2e598c645471e9b978e4317d3d9">GoogLeNetInceptionV4ConvolutionLayerDataset</a> ()</td></tr>
 136 <tr class="separator:a8d29b2e598c645471e9b978e4317d3d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 137 <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>
 138 <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>
 139 <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>
 140 <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>
 141 <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>
 142 <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>
 143 <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>
 144 </table><table class="memberdecls">
 145 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
 146 Additional Inherited Members</h2></td></tr>
 147 <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>
 148 <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>
 149 <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>
 150 </table>
 151 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 152 <div class="textblock">
 153 <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00061">61</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p>
 154 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 155 <a class="anchor" id="a8d29b2e598c645471e9b978e4317d3d9"></a>
 156 <div class="memitem">
 157 <div class="memproto">
 158 <table class="mlabels">
 159   <tr>
 160   <td class="mlabels-left">
 161       <table class="memname">
 162         <tr>
 163           <td class="memname"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset</a> </td>
 164           <td>(</td>
 165           <td class="paramname"></td><td>)</td>
 166           <td></td>
 167         </tr>
 168       </table>
 169   </td>
 170   <td class="mlabels-right">
 171 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 172   </tr>
 173 </table>
 174 </div><div class="memdoc">
 175
 176 <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00065">65</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p>
 177
 178 <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>
 179 <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    {</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        <span class="comment">// conv1_3x3_s2</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</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="l00069"></a><span class="lineno">   69</span>&#160;        <span class="comment">// conv2_3x3_s1</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</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="l00071"></a><span class="lineno">   71</span>&#160;        <span class="comment">// conv3_3x3_s1</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</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="l00073"></a><span class="lineno">   73</span>&#160;        <span class="comment">// inception_stem1_3x3_s2</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</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="l00075"></a><span class="lineno">   75</span>&#160;        <span class="comment">// inception_stem2_3x3_reduce, inception_stem2_1x7_reduce</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</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="l00077"></a><span class="lineno">   77</span>&#160;        <span class="comment">// inception_stem2_3x3, inception_stem2_3x3_2</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</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="l00079"></a><span class="lineno">   79</span>&#160;        <span class="comment">// inception_stem2_1x7</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</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(7U, 1U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 3, 0));</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        <span class="comment">// inception_stem2_7x1</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</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(1U, 7U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 3));</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        <span class="comment">// inception_stem3_3x3_s2</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</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="l00085"></a><span class="lineno">   85</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="l00086"></a><span class="lineno">   86</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="l00087"></a><span class="lineno">   87</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="l00088"></a><span class="lineno">   88</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="l00089"></a><span class="lineno">   89</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="l00090"></a><span class="lineno">   90</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="l00091"></a><span class="lineno">   91</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="l00092"></a><span class="lineno">   92</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="l00093"></a><span class="lineno">   93</span>&#160;        <span class="comment">// reduction_a_3x3</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</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="l00095"></a><span class="lineno">   95</span>&#160;        <span class="comment">// reduction_a_3x3_2_reduce</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</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="l00097"></a><span class="lineno">   97</span>&#160;        <span class="comment">// reduction_a_3x3_2</span></div><div class="line"><a name="l00098"></a><span class="lineno">   98</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="l00099"></a><span class="lineno">   99</span>&#160;        <span class="comment">// reduction_a_3x3_3</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</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="l00101"></a><span class="lineno">  101</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="l00102"></a><span class="lineno">  102</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="l00103"></a><span class="lineno">  103</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="l00104"></a><span class="lineno">  104</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="l00105"></a><span class="lineno">  105</span>&#160;        <span class="comment">// inception_b1_1x7, inception_b1_1x7_2, inception_b2_1x7, inception_b2_1x7_2, inception_b3_1x7, inception_b3_1x7_2, inception_b4_1x7, inception_b4_1x7_2, inception_b5_1x7, inception_b5_1x7_2, inception_b6_1x7, inception_b6_1x7_2, inception_b7_1x7, inception_b7_1x7_2</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</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(7U, 1U, 192U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 3, 0));</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        <span class="comment">// inception_b1_7x1, inception_b2_7x1, inception_b3_7x1, inception_b4_7x1, inception_b5_7x1, inception_b6_7x1, inception_b7_7x1</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</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, 224U), TensorShape(1U, 7U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 3));</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="comment">// inception_b1_7x1_2, inception_b2_7x1_2, inception_b3_7x1_2, inception_b4_7x1_2, inception_b5_7x1_2, inception_b6_7x1_2, inception_b7_7x1_2</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</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(1U, 7U, 192U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 3));</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <span class="comment">// inception_b1_7x1_3, inception_b2_7x1_3, inception_b3_7x1_3, inception_b4_7x1_3, inception_b5_7x1_3, inception_b6_7x1_3, inception_b7_7x1_3</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</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, 224U), TensorShape(1U, 7U, 224U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 0, 3));</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <span class="comment">// inception_b1_1x7_3, inception_b2_1x7_3, inception_b3_1x7_3, inception_b4_1x7_3, inception_b5_1x7_3, inception_b6_1x7_3, inception_b7_1x7_3</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</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, 224U), TensorShape(7U, 1U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));</div><div class="line"><a name="l00115"></a><span class="lineno">  115</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="l00116"></a><span class="lineno">  116</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="l00117"></a><span class="lineno">  117</span>&#160;        <span class="comment">// reduction_b_3x3</span></div><div class="line"><a name="l00118"></a><span class="lineno">  118</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="l00119"></a><span class="lineno">  119</span>&#160;        <span class="comment">// reduction_b_1x7_reduce</span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</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="l00121"></a><span class="lineno">  121</span>&#160;        <span class="comment">// reduction_b_1x7</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</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, 256U), TensorShape(7U, 1U, 256U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="comment">// reduction_b_7x1</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</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, 256U), TensorShape(1U, 7U, 256U, 320U), TensorShape(320U), TensorShape(17U, 17U, 320U), PadStrideInfo(1, 1, 0, 3));</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        <span class="comment">// reduction_b_3x3_2</span></div><div class="line"><a name="l00126"></a><span class="lineno">  126</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="l00127"></a><span class="lineno">  127</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="l00128"></a><span class="lineno">  128</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="l00129"></a><span class="lineno">  129</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="l00130"></a><span class="lineno">  130</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="l00131"></a><span class="lineno">  131</span>&#160;        <span class="comment">// inception_c1_1x3, inception_c2_1x3, inception_c3_1x3</span></div><div class="line"><a name="l00132"></a><span class="lineno">  132</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, 384U), TensorShape(3U, 1U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        <span class="comment">// inception_c1_3x1, inception_c2_3x1, inception_c3_3x1</span></div><div class="line"><a name="l00134"></a><span class="lineno">  134</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, 384U), TensorShape(1U, 3U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        <span class="comment">// inception_c1_3x1_2, inception_c2_3x1_2, inception_c3_3x1_2</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</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, 384U), TensorShape(1U, 3U, 384U, 448U), TensorShape(448U), TensorShape(8U, 8U, 448U), PadStrideInfo(1, 1, 0, 1));</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        <span class="comment">// inception_c1_1x3_2, inception_c2_1x3_2, inception_c3_1x3_2</span></div><div class="line"><a name="l00138"></a><span class="lineno">  138</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, 448U), TensorShape(3U, 1U, 448U, 512U), TensorShape(512U), TensorShape(8U, 8U, 512U), PadStrideInfo(1, 1, 1, 0));</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        <span class="comment">// inception_c1_1x3_3, inception_c2_1x3_3, inception_c3_1x3_3</span></div><div class="line"><a name="l00140"></a><span class="lineno">  140</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, 512U), TensorShape(3U, 1U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="comment">// inception_c1_3x1_3, inception_c2_3x1_3, inception_c3_3x1_3</span></div><div class="line"><a name="l00142"></a><span class="lineno">  142</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, 512U), TensorShape(1U, 3U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));</div><div class="line"><a name="l00143"></a><span class="lineno">  143</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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