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| <div class="title">GoogLeNetInceptionV4BatchNormalizationLayerDataset.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_goog_le_net_inception_v4_batch_normalization_layer_dataset_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"></span><span class="preprocessor">#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET</span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_batch_normalization_layer_dataset_8h.xhtml">tests/datasets/BatchNormalizationLayerDataset.h</a>"</span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_type_printer_8h.xhtml">utils/TypePrinter.h</a>"</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>test</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>datasets</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml"> 40</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">GoogLeNetInceptionV4BatchNormalizationLayerDataset</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml">BatchNormalizationLayerDataset</a></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555"> 43</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555">GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>()</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// conv1_3x3_s2_bn</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(149<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 149<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// conv2_3x3_s1_bn</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(147<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 147<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// conv3_3x3_s1_bn</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(147<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 147<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// inception_stem1_3x3_s2_bn</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(73<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 73<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// inception_stem2_3x3_reduce_bn, inception_stem2_1x7_reduce_bn, inception_stem2_1x7_bn, inception_stem2_7x1_bn</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(73<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 73<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// inception_stem2_3x3_bn, inception_stem2_3x3_2_bn</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(71<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 71<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// inception_stem3_3x3_s2_bn, reduction_a_3x3_2_reduce_bn</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// inception_a1_1x1_2_bn, inception_a1_3x3_bn, inception_a1_3x3_2_bn, inception_a1_3x3_3_bn, inception_a1_1x1_bn, inception_a2_1x1_2_bn, inception_a2_3x3_bn, inception_a2_3x3_2_bn, inception_a2_3x3_3_bn, inception_a2_1x1_bn, inception_a3_1x1_2_bn, inception_a3_3x3_bn, inception_a3_3x3_2_bn, inception_a3_3x3_3_bn, inception_a3_1x1_bn, inception_a4_1x1_2_bn, inception_a4_3x3_bn, inception_a4_3x3_2_bn, inception_a4_3x3_3_bn, inception_a4_1x1_bn</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// inception_a1_3x3_reduce_bn, inception_a1_3x3_2_reduce_bn, inception_a2_3x3_reduce_bn, inception_a2_3x3_2_reduce_bn, inception_a3_3x3_reduce_bn, inception_a3_3x3_2_reduce_bn, inception_a4_3x3_reduce_bn, inception_a4_3x3_2_reduce_bn</span></div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// reduction_a_3x3_bn, inception_b1_1x1_2_bn, inception_b2_1x1_2_bn, inception_b3_1x1_2_bn, inception_b4_1x1_2_bn, inception_b5_1x1_2_bn, inception_b6_1x1_2_bn, inception_b7_1x1_2_bn</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 384<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(384<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// reduction_a_3x3_2_bn</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 224<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(224<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// reduction_a_3x3_3_bn, inception_b1_7x1_bn, inception_b1_1x7_3_bn, inception_b2_7x1_bn, inception_b2_1x7_3_bn, inception_b3_7x1_bn, inception_b3_1x7_3_bn, inception_b4_7x1_bn, inception_b4_1x7_3_bn, inception_b5_7x1_bn, inception_b5_1x7_3_bn, inception_b6_7x1_bn, inception_b6_1x7_3_bn, inception_b7_7x1_bn, inception_b7_1x7_3_bn, reduction_b_1x7_reduce_bn, reduction_b_1x7_bn</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// inception_b1_1x7_reduce_bn, inception_b1_7x1_2_reduce_bn, inception_b1_7x1_2_bn, inception_b2_1x7_reduce_bn, inception_b2_7x1_2_reduce_bn, inception_b2_7x1_2_bn, inception_b3_1x7_reduce_bn, inception_b3_7x1_2_reduce_bn, inception_b3_7x1_2_bn, inception_b4_1x7_reduce_bn, inception_b4_7x1_2_reduce_bn, inception_b4_7x1_2_bn, inception_b5_1x7_reduce_bn, inception_b5_7x1_2_reduce_bn, inception_b5_7x1_2_bn, inception_b6_1x7_reduce_bn, inception_b6_7x1_2_reduce_bn, inception_b6_7x1_2_bn, inception_b7_1x7_reduce_bn, inception_b7_7x1_2_reduce_bn, inception_b7_7x1_2_bn, reduction_b_3x3_reduce_bn</span></div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// inception_b1_1x7_bn, inception_b1_1x7_2_bn, inception_b1_7x1_3_bn, inception_b2_1x7_bn, inception_b2_1x7_2_bn, inception_b2_7x1_3_bn, inception_b3_1x7_bn, inception_b3_1x7_2_bn, inception_b3_7x1_3_bn, inception_b4_1x7_bn, inception_b4_1x7_2_bn, inception_b4_7x1_3_bn, inception_b5_1x7_bn, inception_b5_1x7_2_bn, inception_b5_7x1_3_bn, inception_b6_1x7_bn, inception_b6_1x7_2_bn, inception_b6_7x1_3_bn, inception_b7_1x7_bn, inception_b7_1x7_2_bn, inception_b7_7x1_3_bn</span></div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 224<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(224<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// inception_b1_1x1_bn, inception_b2_1x1_bn, inception_b3_1x1_bn, inception_b4_1x1_bn, inception_b5_1x1_bn, inception_b6_1x1_bn, inception_b7_1x1_bn</span></div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// reduction_b_3x3_bn</span></div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// reduction_b_7x1_bn</span></div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// reduction_b_3x3_2_bn</span></div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// inception_c1_1x1_2_bn, inception_c1_1x3_bn, inception_c1_3x1_bn, inception_c1_1x3_3_bn, inception_c1_3x1_3_bn, inception_c1_1x1_bn, inception_c2_1x1_2_bn, inception_c2_1x3_bn, inception_c2_3x1_bn, inception_c2_1x3_3_bn, inception_c2_3x1_3_bn, inception_c2_1x1_bn, inception_c3_1x1_2_bn, inception_c3_1x3_bn, inception_c3_3x1_bn, inception_c3_1x3_3_bn, inception_c3_3x1_3_bn, inception_c3_1x1_bn</span></div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// inception_c1_1x1_3_bn, inception_c1_1x1_4_bn, inception_c2_1x1_3_bn, inception_c2_1x1_4_bn, inception_c3_1x1_3_bn, inception_c3_1x1_4_bn</span></div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 384<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(384<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// inception_c1_3x1_2_bn, inception_c2_3x1_2_bn, inception_c3_3x1_2_bn</span></div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 448<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(448<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// inception_c1_1x3_2_bn, inception_c2_1x3_2_bn, inception_c3_1x3_2_bn</span></div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 0.000010f);</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span> };</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span> } <span class="comment">// namespace datasets</span></div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET */</span><span class="preprocessor"></span></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset_xhtml_a5c56b0d715939df7ca959944960a7555"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555">arm_compute::test::datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a></div><div class="ttdeci">GoogLeNetInceptionV4BatchNormalizationLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_goog_le_net_inception_v4_batch_normalization_layer_dataset_8h_source.xhtml#l00043">GoogLeNetInceptionV4BatchNormalizationLayerDataset.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">arm_compute::test::datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_goog_le_net_inception_v4_batch_normalization_layer_dataset_8h_source.xhtml#l00040">GoogLeNetInceptionV4BatchNormalizationLayerDataset.h:40</a></div></div> |
| <div class="ttc" id="_batch_normalization_layer_dataset_8h_xhtml"><div class="ttname"><a href="_batch_normalization_layer_dataset_8h.xhtml">BatchNormalizationLayerDataset.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div> |
| <div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml">arm_compute::test::datasets::BatchNormalizationLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_dataset_8h_source.xhtml#l00038">BatchNormalizationLayerDataset.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset_xhtml_a4634b6c3ee364ba5d258389c39e36391"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">arm_compute::test::datasets::BatchNormalizationLayerDataset::add_config</a></div><div class="ttdeci">void add_config(TensorShape tensor, TensorShape param, float epsilon)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_dataset_8h_source.xhtml#l00097">BatchNormalizationLayerDataset.h:97</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
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| <li class="navelem"><a class="el" href="dir_3b4cc335dce0408d77b688e575522aa5.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_0df31d79686c90a11f48d3915528531f.xhtml">datasets</a></li><li class="navelem"><a class="el" href="dir_b9fb8daeb083a5130f1d5fcf4bdfd80d.xhtml">system_tests</a></li><li class="navelem"><a class="el" href="dir_44b30e996f654eed35b3a72ffd5c8c5c.xhtml">googlenet</a></li><li class="navelem"><a class="el" href="dir_245cff7a20508c5adf0eef06cf65e1c3.xhtml">inceptionv4</a></li><li class="navelem"><a class="el" href="_goog_le_net_inception_v4_batch_normalization_layer_dataset_8h.xhtml">GoogLeNetInceptionV4BatchNormalizationLayerDataset.h</a></li> |
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