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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
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<div class="title">AlexNet.cpp</div> </div>
</div><!--header-->
<div class="contents">
-<a href="validation_2_c_l_2_s_y_s_t_e_m_2_alex_net_8cpp.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">#include "<a class="code" href="_c_l_sub_tensor_8h.xhtml">arm_compute/runtime/CL/CLSubTensor.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_c_l_activation_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLActivationLayer.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_c_l_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_c_l_direct_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_c_l_fully_connected_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_c_l_normalization_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLNormalizationLayer.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_c_l_pooling_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLPoolingLayer.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_c_l_softmax_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLSoftmaxLayer.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_alex_net_network_8h.xhtml">tests/networks/AlexNetNetwork.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>"</span></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="preprocessor">#include <string></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>test</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="keyword">namespace </span>validation</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">using</span> CLAlexNetModel = networks::AlexNetNetwork<
<a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  CLTensor,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  CLSubTensor,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  CLAccessor,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  CLActivationLayer,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  CLConvolutionLayer,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  CLDirectConvolutionLayer,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  CLFullyConnectedLayer,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  CLNormalizationLayer,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  CLPoolingLayer,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  CLSoftmaxLayer>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> std::vector<unsigned int> compute_alexnet(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches, std::string input_file)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::vector<std::string> weight_files = { <span class="stringliteral">"cnn_data/alexnet_model/conv1_w.npy"</span>,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv2_w.npy"</span>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv3_w.npy"</span>,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv4_w.npy"</span>,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv5_w.npy"</span>,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc6_w.npy"</span>,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc7_w.npy"</span>,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc8_w.npy"</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  };</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  std::vector<std::string> bias_files = { <span class="stringliteral">"cnn_data/alexnet_model/conv1_b.npy"</span>,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv2_b.npy"</span>,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv3_b.npy"</span>,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv4_b.npy"</span>,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv5_b.npy"</span>,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc6_b.npy"</span>,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc7_b.npy"</span>,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc8_b.npy"</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  };</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  CLAlexNetModel network{};</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  network.init(dt, 4, batches);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  network.build();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  network.allocate();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  network.fill(weight_files, bias_files);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  network.feed(std::move(input_file));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  network.run();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> network.get_classifications();</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</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(SYSTEM_TESTS)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9422bc3143de824fa792e9740c27e79"> 96</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6">TEST_CASE</a>(AlexNet, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Compute alexnet</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::vector<unsigned int> classified_labels = compute_alexnet(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <span class="stringliteral">"cnn_data/imagenet_data/cat.npy"</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Expected labels</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<unsigned int> expected_labels = { 281 };</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// Validate labels</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(classified_labels, expected_labels);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_c_l_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_convolution_layer_8h.xhtml">CLConvolutionLayer.h</a></div></div>
+<a href="validation_2_c_l_2_s_y_s_t_e_m_2_alex_net_8cpp.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">#include "<a class="code" href="_c_l_sub_tensor_8h.xhtml">arm_compute/runtime/CL/CLSubTensor.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_c_l_activation_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLActivationLayer.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_c_l_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_c_l_direct_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_c_l_fully_connected_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_c_l_normalization_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLNormalizationLayer.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_c_l_pooling_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLPoolingLayer.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_c_l_softmax_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLSoftmaxLayer.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_alex_net_network_8h.xhtml">tests/networks/AlexNetNetwork.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>"</span></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="preprocessor">#include <string></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>test</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="keyword">namespace </span>validation</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">using</span> CLAlexNetModel = networks::AlexNetNetwork<
ICLTensor,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  CLTensor,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  CLSubTensor,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  CLAccessor,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  CLActivationLayer,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  CLConvolutionLayer,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  CLDirectConvolutionLayer,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  CLFullyConnectedLayer,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  CLNormalizationLayer,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  CLPoolingLayer,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  CLSoftmaxLayer>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> std::vector<unsigned int> compute_alexnet(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches, std::string input_file)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::vector<std::string> weight_files = { <span class="stringliteral">"cnn_data/alexnet_model/conv1_w.npy"</span>,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv2_w.npy"</span>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv3_w.npy"</span>,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv4_w.npy"</span>,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv5_w.npy"</span>,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc6_w.npy"</span>,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc7_w.npy"</span>,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc8_w.npy"</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  };</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  std::vector<std::string> bias_files = { <span class="stringliteral">"cnn_data/alexnet_model/conv1_b.npy"</span>,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv2_b.npy"</span>,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv3_b.npy"</span>,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv4_b.npy"</span>,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="stringliteral">"cnn_data/alexnet_model/conv5_b.npy"</span>,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc6_b.npy"</span>,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc7_b.npy"</span>,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="stringliteral">"cnn_data/alexnet_model/fc8_b.npy"</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  };</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  CLAlexNetModel network{};</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  network.init(dt, 4, batches);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  network.build();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  network.allocate();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  network.fill(weight_files, bias_files);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  network.feed(std::move(input_file));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  network.run();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> network.get_classifications();</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</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(SYSTEM_TESTS)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9422bc3143de824fa792e9740c27e79"> 96</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6">TEST_CASE</a>(AlexNet, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Compute alexnet</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::vector<unsigned int> classified_labels = compute_alexnet(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <span class="stringliteral">"cnn_data/imagenet_data/cat.npy"</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Expected labels</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<unsigned int> expected_labels = { 281 };</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// Validate labels</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(classified_labels, expected_labels);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_c_l_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_convolution_layer_8h.xhtml">CLConvolutionLayer.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a963c5b8a3279186004d6a7e97a1b87e6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6">arm_compute::test::validation::TEST_CASE</a></div><div class="ttdeci">TEST_CASE(Configuration, framework::DatasetMode::ALL)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_depth_concatenate_layer_8cpp_source.xhtml#l00045">DepthConcatenateLayer.cpp:45</a></div></div>
<div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</a></div></div>
<div class="ttc" id="_c_l_direct_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_direct_convolution_layer_8h.xhtml">CLDirectConvolutionLayer.h</a></div></div>
<div class="ttc" id="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
<div class="ttc" id="_alex_net_network_8h_xhtml"><div class="ttname"><a href="_alex_net_network_8h.xhtml">AlexNetNetwork.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_af87af588094f04e537df98eaf0426cb6"><div class="ttname"><a href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">arm_compute::ICLTensor</a></div><div class="ttdeci">ICLImage ICLTensor</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_histogram_8h_source.xhtml#l00034">CLHistogram.h:34</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a38fe4b20a05bbaa1c844f3d7a19791ae"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">arm_compute::test::validation::TEST_SUITE_END</a></div><div class="ttdeci">TEST_SUITE_END() DATA_TEST_CASE(Configuration</div></div>
<div class="ttc" id="_c_l_fully_connected_layer_8h_xhtml"><div class="ttname"><a href="_c_l_fully_connected_layer_8h.xhtml">CLFullyConnectedLayer.h</a></div></div>
<div class="ttc" id="_c_l_softmax_layer_8h_xhtml"><div class="ttname"><a href="_c_l_softmax_layer_8h.xhtml">CLSoftmaxLayer.h</a></div></div>
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