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103<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
104<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>&quot;</code><br />
105<code>#include &lt;iostream&gt;</code><br />
106<code>#include &lt;string&gt;</code><br />
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108<p><a href="_output_shape_of_squeeze_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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123<h2 class="groupheader">Function Documentation</h2>
124<a id="ae3a6cb217a792718f2bd0e8f45e3ca9e"></a>
125<h2 class="memtitle"><span class="permalink"><a href="#ae3a6cb217a792718f2bd0e8f45e3ca9e">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_SUITE()</h2>
126
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131 <td class="memname">BOOST_AUTO_TEST_SUITE </td>
132 <td>(</td>
133 <td class="paramtype">TensorflowLiteParser&#160;</td>
134 <td class="paramname"></td><td>)</td>
135 <td></td>
136 </tr>
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139
140<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l00368">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00024">armnn::boost_test_print_type()</a>, <a class="el" href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00128">TestQuantizedLstmLayerVisitor::CheckInputParameters()</a>, <a class="el" href="_optimization_views_tests_8cpp_source.xhtml#l00018">CheckLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00022">CheckOrder()</a>, <a class="el" href="_profiler_tests_8cpp_source.xhtml#l00023">armnn::GetProfilerEventSequenceSize()</a>, <a class="el" href="_backend_profiling_tests_8cpp_source.xhtml#l00091">PacketWriter()</a>, and <a class="el" href="_runtime_tests_8cpp_source.xhtml#l00028">armnn::RuntimeLoadedNetworksReserve()</a>.</p>
141
142</div>
143</div>
144<a id="af7f71af5c6c124222dd1c42c5df892f4"></a>
145<h2 class="memtitle"><span class="permalink"><a href="#af7f71af5c6c124222dd1c42c5df892f4">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_SUITE_END()</h2>
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151 <td class="memname">BOOST_AUTO_TEST_SUITE_END </td>
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153 <td class="paramname"></td><td>)</td>
154 <td></td>
155 </tr>
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158
159<p class="reference">Referenced by <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00050">BOOST_FIXTURE_TEST_CASE()</a>.</p>
160
161</div>
162</div>
163<a id="ab3d999658d7d69b794a1e1997ac29ff4"></a>
164<h2 class="memtitle"><span class="permalink"><a href="#ab3d999658d7d69b794a1e1997ac29ff4">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/3]</span></h2>
165
166<div class="memitem">
167<div class="memproto">
168 <table class="memname">
169 <tr>
170 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
171 <td>(</td>
172 <td class="paramtype">EmptySqueezeDims_OutputWithAllDimensionsSqueezed&#160;</td>
173 <td class="paramname">, </td>
174 </tr>
175 <tr>
176 <td class="paramkey"></td>
177 <td></td>
178 <td class="paramtype">TfLiteParserFixture&#160;</td>
179 <td class="paramname">&#160;</td>
180 </tr>
181 <tr>
182 <td></td>
183 <td>)</td>
184 <td></td><td></td>
185 </tr>
186 </table>
187</div><div class="memdoc">
188
189<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00027">27</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p>
190
191<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
192<div class="fragment"><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;{</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; std::vector&lt;uint32_t&gt; squeezeDims = { };</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 2);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 2, 2 })));</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</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>
193<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>
194<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
195<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
196<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>
197<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00093">Tensor.hpp:93</a></div></div>
198</div><!-- fragment -->
199</div>
200</div>
201<a id="a9725cfd2247da237707c37ef87596c7b"></a>
202<h2 class="memtitle"><span class="permalink"><a href="#a9725cfd2247da237707c37ef87596c7b">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/3]</span></h2>
203
204<div class="memitem">
205<div class="memproto">
206 <table class="memname">
207 <tr>
208 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
209 <td>(</td>
210 <td class="paramtype">SqueezeDimsNotIncludingSizeOneDimensions_NoDimensionsSqueezedInOutput&#160;</td>
211 <td class="paramname">, </td>
212 </tr>
213 <tr>
214 <td class="paramkey"></td>
215 <td></td>
216 <td class="paramtype">TfLiteParserFixture&#160;</td>
217 <td class="paramname">&#160;</td>
218 </tr>
219 <tr>
220 <td></td>
221 <td>)</td>
222 <td></td><td></td>
223 </tr>
224 </table>
225</div><div class="memdoc">
226
227<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p>
228
229<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
230<div class="fragment"><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; std::vector&lt;uint32_t&gt; squeezeDims = { 1, 2 };</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 2, 2, 1 })));</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</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>
231<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>
232<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
233<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
234<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>
235<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00093">Tensor.hpp:93</a></div></div>
236</div><!-- fragment -->
237</div>
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240<h2 class="memtitle"><span class="permalink"><a href="#a1ed43ba7737ea60ddb9c274967888820">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/3]</span></h2>
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246 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
247 <td>(</td>
248 <td class="paramtype">SqueezeDimsRangePartial_OutputWithDimensionsWithinRangeSqueezed&#160;</td>
249 <td class="paramname">, </td>
250 </tr>
251 <tr>
252 <td class="paramkey"></td>
253 <td></td>
254 <td class="paramtype">TfLiteParserFixture&#160;</td>
255 <td class="paramname">&#160;</td>
256 </tr>
257 <tr>
258 <td></td>
259 <td>)</td>
260 <td></td><td></td>
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265<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p>
266
267<p class="reference">References <a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
268<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::vector&lt;uint32_t&gt; squeezeDims = { 1, 3 };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 2, 2 })));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</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>
269<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>
270<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
271<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
272<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>
273<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00093">Tensor.hpp:93</a></div></div>
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