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<div class="textblock"><code>#include &lt;<a class="el" href="_arg_min_max_8hpp_source.html">reference/workloads/ArgMinMax.hpp</a>&gt;</code><br />
<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
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<p class="definition">Definition at line <a class="el" href="_arg_min_max_tests_8cpp_source.html#l00012">12</a> of file <a class="el" href="_arg_min_max_tests_8cpp_source.html">ArgMinMaxTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_arg_min_max_8cpp_source.html#l00015">armnn::ArgMinMax()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>.</p>
<div class="fragment"><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.html">armnn::TensorInfo</a> inputInfo({ 1, 2, 3 } , <a class="code" href="namespacearmnn.html#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.html">armnn::TensorInfo</a> outputInfo({ 1, 3 }, <a class="code" href="namespacearmnn.html#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.html#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.html#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="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_html_a374120de442fe42c26536bb4f1e2a5a1"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">ArgMinMax.cpp:15</a></div></div>
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<p class="definition">Definition at line <a class="el" href="_arg_min_max_tests_8cpp_source.html#l00035">35</a> of file <a class="el" href="_arg_min_max_tests_8cpp_source.html">ArgMinMaxTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_arg_min_max_8cpp_source.html#l00015">armnn::ArgMinMax()</a>, <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>.</p>
<div class="fragment"><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.html">armnn::TensorInfo</a> inputInfo({ 1, 2, 3 } , <a class="code" href="namespacearmnn.html#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.html">armnn::TensorInfo</a> outputInfo({ 1, 3 }, <a class="code" href="namespacearmnn.html#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.html#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.html#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="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_html_a374120de442fe42c26536bb4f1e2a5a1"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">ArgMinMax.cpp:15</a></div></div>
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