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89<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
90<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.html">../TfLiteParser.hpp</a>&quot;</code><br />
91<code>#include &lt;iostream&gt;</code><br />
92<code>#include &lt;string&gt;</code><br />
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94<p><a href="_output_shape_of_squeeze_8cpp_source.html">Go to the source code of this file.</a></p>
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98<tr class="memitem:ae3a6cb217a792718f2bd0e8f45e3ca9e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a> (TensorflowLiteParser)</td></tr>
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109<h2 class="groupheader">Function Documentation</h2>
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111<h2 class="memtitle"><span class="permalink"><a href="#ae3a6cb217a792718f2bd0e8f45e3ca9e">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_SUITE()</h2>
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117 <td class="memname">BOOST_AUTO_TEST_SUITE </td>
118 <td>(</td>
119 <td class="paramtype">TensorflowLiteParser&#160;</td>
120 <td class="paramname"></td><td>)</td>
121 <td></td>
122 </tr>
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125
126<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.html#l00368">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.html#l00024">armnn::boost_test_print_type()</a>, <a class="el" href="_const_tensor_layer_visitor_8cpp_source.html#l00128">TestQuantizedLstmLayerVisitor::CheckInputParameters()</a>, <a class="el" href="_optimization_views_tests_8cpp_source.html#l00018">CheckLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00022">CheckOrder()</a>, <a class="el" href="_profiler_tests_8cpp_source.html#l00022">armnn::GetProfilerEventSequenceSize()</a>, <a class="el" href="_backend_profiling_tests_8cpp_source.html#l00090">PacketWriter()</a>, and <a class="el" href="_runtime_tests_8cpp_source.html#l00028">armnn::RuntimeLoadedNetworksReserve()</a>.</p>
127
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131<h2 class="memtitle"><span class="permalink"><a href="#af7f71af5c6c124222dd1c42c5df892f4">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_SUITE_END()</h2>
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139 <td class="paramname"></td><td>)</td>
140 <td></td>
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144
145<p class="reference">Referenced by <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00050">BOOST_FIXTURE_TEST_CASE()</a>.</p>
146
147</div>
148</div>
149<a id="ab3d999658d7d69b794a1e1997ac29ff4"></a>
150<h2 class="memtitle"><span class="permalink"><a href="#ab3d999658d7d69b794a1e1997ac29ff4">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/3]</span></h2>
151
152<div class="memitem">
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154 <table class="memname">
155 <tr>
156 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
157 <td>(</td>
158 <td class="paramtype">EmptySqueezeDims_OutputWithAllDimensionsSqueezed&#160;</td>
159 <td class="paramname">, </td>
160 </tr>
161 <tr>
162 <td class="paramkey"></td>
163 <td></td>
164 <td class="paramtype">TfLiteParserFixture&#160;</td>
165 <td class="paramname">&#160;</td>
166 </tr>
167 <tr>
168 <td></td>
169 <td>)</td>
170 <td></td><td></td>
171 </tr>
172 </table>
173</div><div class="memdoc">
174
175<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00027">27</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
176
177<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
178<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.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#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.html">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.html#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.html#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.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">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_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00092">Tensor.hpp:92</a></div></div>
179<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>
180<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
181<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
182<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00093">Tensor.hpp:93</a></div></div>
183<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div>
184</div><!-- fragment -->
185</div>
186</div>
187<a id="a9725cfd2247da237707c37ef87596c7b"></a>
188<h2 class="memtitle"><span class="permalink"><a href="#a9725cfd2247da237707c37ef87596c7b">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/3]</span></h2>
189
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191<div class="memproto">
192 <table class="memname">
193 <tr>
194 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
195 <td>(</td>
196 <td class="paramtype">SqueezeDimsNotIncludingSizeOneDimensions_NoDimensionsSqueezedInOutput&#160;</td>
197 <td class="paramname">, </td>
198 </tr>
199 <tr>
200 <td class="paramkey"></td>
201 <td></td>
202 <td class="paramtype">TfLiteParserFixture&#160;</td>
203 <td class="paramname">&#160;</td>
204 </tr>
205 <tr>
206 <td></td>
207 <td>)</td>
208 <td></td><td></td>
209 </tr>
210 </table>
211</div><div class="memdoc">
212
213<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00039">39</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
214
215<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
216<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.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#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.html">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.html#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.html#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.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">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_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00092">Tensor.hpp:92</a></div></div>
217<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>
218<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
219<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
220<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00093">Tensor.hpp:93</a></div></div>
221<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div>
222</div><!-- fragment -->
223</div>
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226<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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232 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
233 <td>(</td>
234 <td class="paramtype">SqueezeDimsRangePartial_OutputWithDimensionsWithinRangeSqueezed&#160;</td>
235 <td class="paramname">, </td>
236 </tr>
237 <tr>
238 <td class="paramkey"></td>
239 <td></td>
240 <td class="paramtype">TfLiteParserFixture&#160;</td>
241 <td class="paramname">&#160;</td>
242 </tr>
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244 <td></td>
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251<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00050">50</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
252
253<p class="reference">References <a class="el" href="_output_shape_of_squeeze_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
254<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.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#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.html">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.html#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.html#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.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">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_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00092">Tensor.hpp:92</a></div></div>
255<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>
256<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
257<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
258<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00093">Tensor.hpp:93</a></div></div>
259<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div>
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