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+<a href="_arg_min_max_tests_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arg_min_max_8hpp.xhtml">reference/workloads/ArgMinMax.hpp</a>&gt;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(RefArgMinMax)</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="_arg_min_max_tests_8cpp.xhtml#a297bb5f6dc944fa8d393bea2960402e1">   12</a></span>&#160;<a class="code" href="_arg_min_max_tests_8cpp.xhtml#a297bb5f6dc944fa8d393bea2960402e1">BOOST_AUTO_TEST_CASE</a>(ArgMinTest)</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;{</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputInfo({ 1, 2, 3 } , <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({ 1, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    std::vector&lt;float&gt; inputValues({ 1.0f, 5.0f, 3.0f, 4.0f, 2.0f, 6.0f});</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;    std::vector&lt;int32_t&gt; outputValues(outputInfo.GetNumElements());</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;    std::vector&lt;int32_t&gt; expectedValues({ 0, 1, 0 });</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a374120de442fe42c26536bb4f1e2a5a1">ArgMinMax</a>(*armnn::MakeDecoder&lt;float&gt;(inputInfo, inputValues.data()),</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;               outputValues.data(),</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;               inputInfo,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;               outputInfo,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;               <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;               -2);</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    BOOST_CHECK_EQUAL_COLLECTIONS(outputValues.begin(),</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;                                  outputValues.end(),</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;                                  expectedValues.begin(),</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;                                  expectedValues.end());</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;}</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="_arg_min_max_tests_8cpp.xhtml#a7db2a23ad741c538033bf94b5c242802">   35</a></span>&#160;<a class="code" href="_arg_min_max_tests_8cpp.xhtml#a297bb5f6dc944fa8d393bea2960402e1">BOOST_AUTO_TEST_CASE</a>(ArgMaxTest)</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputInfo({ 1, 2, 3 } , <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({ 1, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    std::vector&lt;float&gt; inputValues({ 1.0f, 5.0f, 3.0f, 4.0f, 2.0f, 6.0f });</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    std::vector&lt;int32_t&gt; outputValues(outputInfo.GetNumElements());</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    std::vector&lt;int32_t&gt; expectedValues({ 1, 0, 1 });</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a374120de442fe42c26536bb4f1e2a5a1">ArgMinMax</a>(*armnn::MakeDecoder&lt;float&gt;(inputInfo, inputValues.data()),</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;               outputValues.data(),</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;               inputInfo,</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;               outputInfo,</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;               <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;               -2);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    BOOST_CHECK_EQUAL_COLLECTIONS(outputValues.begin(),</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                                  outputValues.end(),</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                                  expectedValues.begin(),</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                                  expectedValues.end());</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;}</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a374120de442fe42c26536bb4f1e2a5a1"><div class="ttname"><a href="namespacearmnn.xhtml#a374120de442fe42c26536bb4f1e2a5a1">armnn::ArgMinMax</a></div><div class="ttdeci">void ArgMinMax(Decoder&lt; float &gt; &amp;in, int32_t *out, const TensorInfo &amp;inputTensorInfo, const TensorInfo &amp;outputTensorInfo, ArgMinMaxFunction function, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_8cpp_source.xhtml#l00015">ArgMinMax.cpp:15</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
+<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
+<div class="ttc" id="_arg_min_max_tests_8cpp_xhtml_a297bb5f6dc944fa8d393bea2960402e1"><div class="ttname"><a href="_arg_min_max_tests_8cpp.xhtml#a297bb5f6dc944fa8d393bea2960402e1">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(ArgMinTest)</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_tests_8cpp_source.xhtml#l00012">ArgMinMaxTests.cpp:12</a></div></div>
+<div class="ttc" id="_arg_min_max_8hpp_xhtml"><div class="ttname"><a href="_arg_min_max_8hpp.xhtml">ArgMinMax.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
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