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<p>GoogleLeNet v1 convolution layers tensor shapes (Part 1).
<a href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>&gt;</code></p>
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Collaboration diagram for GoogLeNetConvolutionLayerDataset1:</div>
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Public Member Functions</h2></td></tr>
<tr class="memitem:ae72efc89a2de89f39a7e4e0344b4878d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#ae72efc89a2de89f39a7e4e0344b4878d">GoogLeNetConvolutionLayerDataset1</a> ()</td></tr>
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<tr class="memitem:a91dd6c151995f04af9bb989672c2954c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#a91dd6c151995f04af9bb989672c2954c">~GoogLeNetConvolutionLayerDataset1</a> ()=default</td></tr>
<tr class="separator:a91dd6c151995f04af9bb989672c2954c"><td class="memSeparator" colspan="2">&#160;</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="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset&lt; T, Size &gt;</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&#160;</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">&#160;</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">&#160;</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>&#160;</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">&#160;</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">&#160;</td></tr>
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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="-"/>&#160;Public Types inherited from <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset&lt; T, Size &gt;</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 &#160;</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">&#160;</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>
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<tr class="memitem:a9e5ead56d378d840357b0d588680759a inherit pub_types_classarm__compute_1_1test_1_1_generic_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_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">&#160;</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">&#160;</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&#160;</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">&#160;</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">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>GoogleLeNet v1 convolution layers tensor shapes (Part 1). </p>
<dl class="section note"><dt>Note</dt><dd>Dataset is split into two to avoid a register allocation failure produced by clang in Android debug builds. </dd></dl>
<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00143">143</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml">GoogLeNetConvolutionLayerDataset1</a> </td>
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<td class="paramname"></td><td>)</td>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00146">146</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>
<p>References <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p>
<div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; : GenericDataset</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="comment">// conv1/7x7_s2</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; ConvolutionLayerDataObject{ TensorShape(224U, 224U, 3U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U), PadStrideInfo(2, 2, 3, 3) },</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="comment">// conv2/3x3_reduce</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; ConvolutionLayerDataObject{ TensorShape(56U, 56U, 64U), TensorShape(1U, 1U, 64U, 64U), TensorShape(64U), TensorShape(56U, 56U, 64U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="comment">// conv2/3x3</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; ConvolutionLayerDataObject{ TensorShape(56U, 56U, 64U), TensorShape(3U, 3U, 64U, 192U), TensorShape(192U), TensorShape(56U, 56U, 192U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="comment">// inception_3a/1x1</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// inception_3a/3x3_reduce</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="comment">// inception_3a/3x3</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 96U), TensorShape(3U, 3U, 96U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="comment">// inception_3a/5x5_reduce</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 16U), TensorShape(16U), TensorShape(28U, 28U, 16U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="comment">// inception_3a/5x5</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 16U), TensorShape(5U, 5U, 16U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 2, 2) },</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="comment">// inception_3a/pool_proj</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="comment">// inception_3b/1x1, inception_3b/3x3_reduce</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="comment">// inception_3b/3x3</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 128U), TensorShape(3U, 3U, 128U, 192U), TensorShape(192U), TensorShape(28U, 28U, 192U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="comment">// inception_3b/5x5_reduce</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="comment">// inception_3b/5x5</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 32U), TensorShape(5U, 5U, 32U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 2, 2) },</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="comment">// inception_3b/pool_proj</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="comment">// inception_4a/1x1</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 192U), TensorShape(192U), TensorShape(14U, 14U, 192U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="comment">// inception_4a/3x3_reduce</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 96U), TensorShape(96U), TensorShape(14U, 14U, 96U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="comment">// inception_4a/3x3</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 96U), TensorShape(3U, 3U, 96U, 208U), TensorShape(208U), TensorShape(14U, 14U, 208U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="comment">// inception_4a/5x5_reduce</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 16U), TensorShape(16U), TensorShape(14U, 14U, 16U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="comment">// inception_4a/5x5</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 16U), TensorShape(5U, 5U, 16U, 48U), TensorShape(48U), TensorShape(14U, 14U, 48U), PadStrideInfo(1, 1, 2, 2) },</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="comment">// inception_4a/pool_proj</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="comment">// inception_4b/1x1</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="comment">// inception_4b/3x3_reduce, inception_4d/1x1</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 112U), TensorShape(112U), TensorShape(14U, 14U, 112U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="comment">// inception_4b/3x3</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 112U), TensorShape(3U, 3U, 112U, 224U), TensorShape(224U), TensorShape(14U, 14U, 224U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="comment">// inception_4b/5x5_reduce, inception_4c/5x5_reduce</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 24U), TensorShape(24U), TensorShape(14U, 14U, 24U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="comment">// inception_4b/5x5, inception_4c/5x5</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 24U), TensorShape(5U, 5U, 24U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2) },</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="comment">// inception_4b/pool_proj, inception_4c/pool_proj, inception_4d/pool_proj</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="comment">// inception_4c/1x1, inception_4c/3x3_reduce</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="comment">// inception_4c/3x3</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="comment">// inception_4d/3x3_reduce</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 144U), TensorShape(144U), TensorShape(14U, 14U, 144U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="comment">// inception_4d/3x3</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 144U), TensorShape(3U, 3U, 144U, 288U), TensorShape(288U), TensorShape(14U, 14U, 288U), PadStrideInfo(1, 1, 1, 1) },</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="comment">// inception_4d/5x5_reduce</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0) },</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="comment">// inception_4d/5x5</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; ConvolutionLayerDataObject{ TensorShape(14U, 14U, 32U), TensorShape(5U, 5U, 32U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2) },</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; {</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; }</div></div><!-- fragment -->
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<hr/>The documentation for this class was generated from the following file:<ul>
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