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 <div class="textblock"><code>#include &lt;<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>&gt;</code><br />
 <code>#include &lt;boost/multi_array.hpp&gt;</code><br />
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           <td class="memname">boost::array&lt;unsigned int, n&gt; GetTensorShapeAsArray </td>
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 <p class="definition">Definition at line <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00015">15</a> of file <a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>.</p>

 <p class="reference">References <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>
 <div class="fragment"><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;    BOOST_ASSERT_MSG(n == tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;        <span class="stringliteral">&quot;Attempting to construct a shape array of mismatching size&quot;</span>);</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    boost::array&lt;unsigned int, n&gt; shape;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; n; i++)</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;        shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    }</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keywordflow">return</span> shape;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</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>
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	<div class="textblock"><code>#include <<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>></code><br />
	<code>#include <boost/multi_array.hpp></code><br />
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	<p class="definition">Definition at line <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00015">15</a> of file <a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>.</p>

	<p class="reference">References <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>
	<div class="fragment"><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  BOOST_ASSERT_MSG(n == tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="stringliteral">"Attempting to construct a shape array of mismatching size"</span>);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  boost::array<unsigned int, n> shape;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < n; i++)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  }</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">return</span> shape;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</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 & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
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