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103<div class="textblock"><code>#include &quot;<a class="el" href="_parser_helper_8hpp_source.xhtml">../ParserHelper.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_types_8hpp_source.xhtml">armnn/Types.hpp</a>&gt;</code><br />
106<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
107</div>
108<p><a href="_parser_helper_test_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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112<tr class="memitem:a9156b282bb66be1281d3399aa0b675d6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_parser_helper_test_8cpp.xhtml#a9156b282bb66be1281d3399aa0b675d6">BOOST_AUTO_TEST_CASE</a> (CalculateReducedOutputTensoInfoTest)</td></tr>
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123 <td class="memname">BOOST_AUTO_TEST_CASE </td>
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125 <td class="paramtype">CalculateReducedOutputTensoInfoTest&#160;</td>
126 <td class="paramname"></td><td>)</td>
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131
132<p class="definition">Definition at line <a class="el" href="_parser_helper_test_8cpp_source.xhtml#l00019">19</a> of file <a class="el" href="_parser_helper_test_8cpp_source.xhtml">ParserHelperTest.cpp</a>.</p>
133
134<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00054">armnnUtils::CalculateReducedOutputTensoInfo()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>.</p>
135<div class="fragment"><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; <span class="keywordtype">bool</span> keepDims = <span class="keyword">false</span>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 3, 4 };</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(3, &amp;inputShape[0], DataType::Float32);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="comment">// Reducing all dimensions results in one single output value (one dimension)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; std::set&lt;unsigned int&gt; axisData1 = { 0, 1, 2 };</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo1;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(inputTensorInfo, axisData1, keepDims, outputTensorInfo1);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; BOOST_ASSERT(outputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 1);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; BOOST_ASSERT(outputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 1);</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"> 35</span>&#160; <span class="comment">// Reducing dimension 0 results in a 3x4 size tensor (one dimension)</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::set&lt;unsigned int&gt; axisData2 = { 0 };</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo2;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(inputTensorInfo, axisData2, keepDims, outputTensorInfo2);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; BOOST_ASSERT(outputTensorInfo2.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 1);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; BOOST_ASSERT(outputTensorInfo2.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 12);</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; <span class="comment">// Reducing dimensions 0,1 results in a 4 size tensor (one dimension)</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; std::set&lt;unsigned int&gt; axisData3 = { 0, 1 };</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo3;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(inputTensorInfo, axisData3, keepDims, outputTensorInfo3);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; BOOST_ASSERT(outputTensorInfo3.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 1);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; BOOST_ASSERT(outputTensorInfo3.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 4);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// Reducing dimension 0 results in a { 1, 3, 4 } dimension tensor</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; keepDims = <span class="keyword">true</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; std::set&lt;unsigned int&gt; axisData4 = { 0 };</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo4;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(inputTensorInfo, axisData4, keepDims, outputTensorInfo4);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; BOOST_ASSERT(outputTensorInfo4.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; BOOST_ASSERT(outputTensorInfo4.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 1);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; BOOST_ASSERT(outputTensorInfo4.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 3);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; BOOST_ASSERT(outputTensorInfo4.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 4);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// Reducing dimension 1, 2 results in a { 2, 1, 1 } dimension tensor</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; keepDims = <span class="keyword">true</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; std::set&lt;unsigned int&gt; axisData5 = { 1, 2 };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo5;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(inputTensorInfo, axisData5, keepDims, outputTensorInfo5);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; BOOST_ASSERT(outputTensorInfo5.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; BOOST_ASSERT(outputTensorInfo5.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 2);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; BOOST_ASSERT(outputTensorInfo5.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 1);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; BOOST_ASSERT(outputTensorInfo5.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 1);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
136<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>
137<div class="ttc" id="namespacearmnn_utils_xhtml_aac34adc5b96d744ae53eac580213f855"><div class="ttname"><a href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">armnnUtils::CalculateReducedOutputTensoInfo</a></div><div class="ttdeci">void CalculateReducedOutputTensoInfo(const armnn::TensorInfo &amp;inputTensorInfo, const std::set&lt; unsigned int &gt; &amp;axisSet, bool keepDims, armnn::TensorInfo &amp;outputTensorInfo)</div><div class="ttdoc">Creates a tensor info after reducing the dimensions mentioned in axisData. </div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00054">ParserHelper.cpp:54</a></div></div>
138<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
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