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98<a href="#pub-methods">Public Member Functions</a> &#124;
99<a href="classarmnn_1_1_tensor_shape-members.xhtml">List of all members</a> </div>
100 <div class="headertitle">
101<div class="title">TensorShape Class Reference</div> </div>
102</div><!--header-->
103<div class="contents">
104
105<p><code>#include &lt;<a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>&gt;</code></p>
106<table class="memberdecls">
107<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
108Public Member Functions</h2></td></tr>
109<tr class="memitem:a76d053cd9b4373d90682ad646dad334c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">TensorShape</a> ()</td></tr>
110<tr class="memdesc:a76d053cd9b4373d90682ad646dad334c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty (invalid) constructor. <a href="#a76d053cd9b4373d90682ad646dad334c">More...</a><br /></td></tr>
111<tr class="separator:a76d053cd9b4373d90682ad646dad334c"><td class="memSeparator" colspan="2">&#160;</td></tr>
112<tr class="memitem:a767390dbf62191471253b7541143bb04"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a767390dbf62191471253b7541143bb04">TensorShape</a> (unsigned int numDimensions)</td></tr>
113<tr class="separator:a767390dbf62191471253b7541143bb04"><td class="memSeparator" colspan="2">&#160;</td></tr>
114<tr class="memitem:a1c3de06b2e467f9663079dbb619e4732"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a1c3de06b2e467f9663079dbb619e4732">TensorShape</a> (unsigned int numDimensions, const unsigned int *dimensionSizes)</td></tr>
115<tr class="separator:a1c3de06b2e467f9663079dbb619e4732"><td class="memSeparator" colspan="2">&#160;</td></tr>
116<tr class="memitem:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#ab18f5c64d49bbc1f7a97d031c5e79e3d">TensorShape</a> (std::initializer_list&lt; unsigned int &gt; dimensionSizeList)</td></tr>
117<tr class="separator:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="memSeparator" colspan="2">&#160;</td></tr>
118<tr class="memitem:abe2c91b98905750c515790c88f329670"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#abe2c91b98905750c515790c88f329670">TensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;other)</td></tr>
119<tr class="separator:abe2c91b98905750c515790c88f329670"><td class="memSeparator" colspan="2">&#160;</td></tr>
120<tr class="memitem:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a0ca6f42172d27e9799da3e3f7840ac31">operator=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;other)</td></tr>
121<tr class="separator:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a6e6dab22049a4432e8306a301dceff52"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a6e6dab22049a4432e8306a301dceff52">operator[]</a> (unsigned int i) const</td></tr>
123<tr class="separator:a6e6dab22049a4432e8306a301dceff52"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:a0bd5fcf80a3838d0922354989762d7c8"><td class="memItemLeft" align="right" valign="top">unsigned int &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a0bd5fcf80a3838d0922354989762d7c8">operator[]</a> (unsigned int i)</td></tr>
125<tr class="separator:a0bd5fcf80a3838d0922354989762d7c8"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:a07e348fae6036aecdaf41e738d1ae9ff"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a07e348fae6036aecdaf41e738d1ae9ff">operator==</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;other) const</td></tr>
127<tr class="separator:a07e348fae6036aecdaf41e738d1ae9ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a77d202fcd47612eb5a4d6d23a7d4b349">operator!=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;other) const</td></tr>
129<tr class="separator:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a> () const</td></tr>
131<tr class="separator:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a> () const</td></tr>
133<tr class="separator:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
134</table>
135<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
136<div class="textblock">
137<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p>
138</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
139<a id="a76d053cd9b4373d90682ad646dad334c"></a>
140<h2 class="memtitle"><span class="permalink"><a href="#a76d053cd9b4373d90682ad646dad334c">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[1/5]</span></h2>
141
142<div class="memitem">
143<div class="memproto">
144 <table class="memname">
145 <tr>
146 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td>
147 <td>(</td>
148 <td class="paramname"></td><td>)</td>
149 <td></td>
150 </tr>
151 </table>
152</div><div class="memdoc">
153
154<p>Empty (invalid) constructor. </p>
155
156<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00023">23</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
157<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; : m_NumDimensions(0)</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;}</div></div><!-- fragment -->
158</div>
159</div>
160<a id="a767390dbf62191471253b7541143bb04"></a>
161<h2 class="memtitle"><span class="permalink"><a href="#a767390dbf62191471253b7541143bb04">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[2/5]</span></h2>
162
163<div class="memitem">
164<div class="memproto">
165 <table class="memname">
166 <tr>
167 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td>
168 <td>(</td>
169 <td class="paramtype">unsigned int&#160;</td>
170 <td class="paramname"><em>numDimensions</em></td><td>)</td>
171 <td></td>
172 </tr>
173 </table>
174</div><div class="memdoc">
175
176<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00028">28</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
177
178<p class="reference">References <a class="el" href="_types_8hpp_source.xhtml#l00018">armnn::MaxNumOfTensorDimensions</a>.</p>
179<div class="fragment"><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; : m_NumDimensions(numDimensions)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;{</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">if</span> (numDimensions &lt; 1)</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; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor numDimensions must be greater than 0&quot;</span>);</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;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">if</span> (numDimensions &gt; <a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor numDimensions must be less than or equal to MaxNumOfTensorDimensions&quot;</span>);</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;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; std::fill(m_Dimensions.begin(), m_Dimensions.begin() + m_NumDimensions, 0);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00018">Types.hpp:18</a></div></div>
180</div><!-- fragment -->
181</div>
182</div>
183<a id="a1c3de06b2e467f9663079dbb619e4732"></a>
184<h2 class="memtitle"><span class="permalink"><a href="#a1c3de06b2e467f9663079dbb619e4732">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[3/5]</span></h2>
185
186<div class="memitem">
187<div class="memproto">
188 <table class="memname">
189 <tr>
190 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td>
191 <td>(</td>
192 <td class="paramtype">unsigned int&#160;</td>
193 <td class="paramname"><em>numDimensions</em>, </td>
194 </tr>
195 <tr>
196 <td class="paramkey"></td>
197 <td></td>
198 <td class="paramtype">const unsigned int *&#160;</td>
199 <td class="paramname"><em>dimensionSizes</em>&#160;</td>
200 </tr>
201 <tr>
202 <td></td>
203 <td>)</td>
204 <td></td><td></td>
205 </tr>
206 </table>
207</div><div class="memdoc">
208
209<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00044">44</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
210
211<p class="reference">References <a class="el" href="_types_8hpp_source.xhtml#l00018">armnn::MaxNumOfTensorDimensions</a>.</p>
212<div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; : m_NumDimensions(numDimensions)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">if</span> (numDimensions &lt; 1)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor numDimensions must be greater than 0&quot;</span>);</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;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">if</span> (numDimensions &gt; <a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>)</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; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor numDimensions must be less than or equal to MaxNumOfTensorDimensions&quot;</span>);</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="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">if</span> (dimensionSizes == <span class="keyword">nullptr</span>)</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; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor dimensionSizes must not be NULL&quot;</span>);</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;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00018">Types.hpp:18</a></div></div>
213</div><!-- fragment -->
214</div>
215</div>
216<a id="ab18f5c64d49bbc1f7a97d031c5e79e3d"></a>
217<h2 class="memtitle"><span class="permalink"><a href="#ab18f5c64d49bbc1f7a97d031c5e79e3d">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[4/5]</span></h2>
218
219<div class="memitem">
220<div class="memproto">
221 <table class="memname">
222 <tr>
223 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td>
224 <td>(</td>
225 <td class="paramtype">std::initializer_list&lt; unsigned int &gt;&#160;</td>
226 <td class="paramname"><em>dimensionSizeList</em></td><td>)</td>
227 <td></td>
228 </tr>
229 </table>
230</div><div class="memdoc">
231
232<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00065">65</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
233<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; : <a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">TensorShape</a>(boost::numeric_cast&lt;unsigned int&gt;(dimensionSizeList.size()), dimensionSizeList.begin())</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a76d053cd9b4373d90682ad646dad334c"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">armnn::TensorShape::TensorShape</a></div><div class="ttdeci">TensorShape()</div><div class="ttdoc">Empty (invalid) constructor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00023">Tensor.cpp:23</a></div></div>
234</div><!-- fragment -->
235</div>
236</div>
237<a id="abe2c91b98905750c515790c88f329670"></a>
238<h2 class="memtitle"><span class="permalink"><a href="#abe2c91b98905750c515790c88f329670">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[5/5]</span></h2>
239
240<div class="memitem">
241<div class="memproto">
242 <table class="memname">
243 <tr>
244 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td>
245 <td>(</td>
246 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
247 <td class="paramname"><em>other</em></td><td>)</td>
248 <td></td>
249 </tr>
250 </table>
251</div><div class="memdoc">
252
253<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00070">70</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
254<div class="fragment"><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; : m_NumDimensions(other.m_NumDimensions)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div></div><!-- fragment -->
255</div>
256</div>
257<h2 class="groupheader">Member Function Documentation</h2>
258<a id="a157e27d41e9f6b21f0d3c025fa47dc24"></a>
259<h2 class="memtitle"><span class="permalink"><a href="#a157e27d41e9f6b21f0d3c025fa47dc24">&#9670;&nbsp;</a></span>GetNumDimensions()</h2>
260
261<div class="memitem">
262<div class="memproto">
263<table class="mlabels">
264 <tr>
265 <td class="mlabels-left">
266 <table class="memname">
267 <tr>
268 <td class="memname">unsigned int GetNumDimensions </td>
269 <td>(</td>
270 <td class="paramname"></td><td>)</td>
271 <td> const</td>
272 </tr>
273 </table>
274 </td>
275 <td class="mlabels-right">
276<span class="mlabels"><span class="mlabel">inline</span></span> </td>
277 </tr>
278</table>
279</div><div class="memdoc">
280
281<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00043">43</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p>
282
283<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00106">TensorShape::GetNumElements()</a>.</p>
284
285<p class="reference">Referenced by <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.xhtml#l00035">armnn::BatchToSpaceNd()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00024">armnn::boost_test_print_type()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00155">ShapesAreBroadcastCompatible::CalcInputSize()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00167">armnnDeserializer::CheckShape()</a>, <a class="el" href="_cl_stack_workload_8cpp_source.xhtml#l00048">ClStackWorkload::ClStackWorkload()</a>, <a class="el" href="_prototxt_conversions_8cpp_source.xhtml#l00034">armnnUtils::ConvertTensorShapeToString()</a>, <a class="el" href="_workload_utils_8hpp_source.xhtml#l00049">armnn::CopyTensorContentsGeneric()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_ref_l2_normalization_workload_8cpp_source.xhtml#l00028">RefL2NormalizationWorkload::Execute()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00085">armnnUtils::ExpandDims()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00072">ExpandTensorShapeTo3dForPermute()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00140">armnnUtils::GetNumElementsAfter()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00113">armnnUtils::GetNumElementsBetween()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00035">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00035">PreluLayer::InferOutputShapes()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00034">ComparisonLayer::InferOutputShapes()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00033">StackLayer::InferOutputShapes()</a>, <a class="el" href="_log_softmax_8cpp_source.xhtml#l00030">armnn::LogSoftmax()</a>, <a class="el" href="_neon_stack_workload_8cpp_source.xhtml#l00050">NeonStackWorkload::NeonStackWorkload()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00263">armnn::operator&lt;&lt;()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01468">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="backends_2reference_2workloads_2_pad_8cpp_source.xhtml#l00022">armnn::Pad()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00098">armnnUtils::Permuted()</a>, <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00187">ParserPrototxtFixture&lt; armnnOnnxParser::IOnnxParser &gt;::RunTest()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00162">ShapesAreBroadcastCompatible::ShapesAreBroadcastCompatible()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00139">ShapesAreSameRank::ShapesAreSameRank()</a>, <a class="el" href="backends_2reference_2workloads_2_slice_8cpp_source.xhtml#l00016">armnn::Slice()</a>, <a class="el" href="backends_2reference_2workloads_2_softmax_8cpp_source.xhtml#l00017">armnn::Softmax()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.xhtml#l00022">TensorBufferArrayView&lt; DataType &gt;::TensorBufferArrayView()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00515">TfParser::TfParser()</a>, <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">armnnUtils::TransposeTensorShape()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00871">StackQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00617">ArgMinMaxQueueDescriptor::Validate()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01333">SerializerVisitor::VisitQuantizedLstmLayer()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l00829">SerializerVisitor::VisitReshapeLayer()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01183">SerializerVisitor::VisitStackLayer()</a>.</p>
286<div class="fragment"><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{ <span class="keywordflow">return</span> m_NumDimensions; }</div></div><!-- fragment -->
287</div>
288</div>
289<a id="a8846406ac37fbd2204f0be16ee05d5b7"></a>
290<h2 class="memtitle"><span class="permalink"><a href="#a8846406ac37fbd2204f0be16ee05d5b7">&#9670;&nbsp;</a></span>GetNumElements()</h2>
291
292<div class="memitem">
293<div class="memproto">
294 <table class="memname">
295 <tr>
296 <td class="memname">unsigned int GetNumElements </td>
297 <td>(</td>
298 <td class="paramname"></td><td>)</td>
299 <td> const</td>
300 </tr>
301 </table>
302</div><div class="memdoc">
303
304<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00106">106</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
305
306<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00192">CHECK_LOCATION</a>.</p>
307
308<p class="reference">Referenced by <a class="el" href="_depth_to_space_8cpp_source.xhtml#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00058">armnnUtils::FindMinMax()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00043">TensorShape::GetNumDimensions()</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.xhtml#l00015">armnn::TransposeConvolution2dImpl()</a>.</p>
309<div class="fragment"><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;{</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">if</span> (m_NumDimensions == 0)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_NumDimensions; i++)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; count *= m_Dimensions[i];</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;}</div></div><!-- fragment -->
310</div>
311</div>
312<a id="a77d202fcd47612eb5a4d6d23a7d4b349"></a>
313<h2 class="memtitle"><span class="permalink"><a href="#a77d202fcd47612eb5a4d6d23a7d4b349">&#9670;&nbsp;</a></span>operator!=()</h2>
314
315<div class="memitem">
316<div class="memproto">
317 <table class="memname">
318 <tr>
319 <td class="memname">bool operator!= </td>
320 <td>(</td>
321 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
322 <td class="paramname"><em>other</em></td><td>)</td>
323 <td> const</td>
324 </tr>
325 </table>
326</div><div class="memdoc">
327
328<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00101">101</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
329<div class="fragment"><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;{</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">return</span> !(*<span class="keyword">this</span> == other);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;}</div></div><!-- fragment -->
330</div>
331</div>
332<a id="a0ca6f42172d27e9799da3e3f7840ac31"></a>
333<h2 class="memtitle"><span class="permalink"><a href="#a0ca6f42172d27e9799da3e3f7840ac31">&#9670;&nbsp;</a></span>operator=()</h2>
334
335<div class="memitem">
336<div class="memproto">
337 <table class="memname">
338 <tr>
339 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp; operator= </td>
340 <td>(</td>
341 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
342 <td class="paramname"><em>other</em></td><td>)</td>
343 <td></td>
344 </tr>
345 </table>
346</div><div class="memdoc">
347
348<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00076">76</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
349<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; m_NumDimensions = other.m_NumDimensions;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;}</div></div><!-- fragment -->
350</div>
351</div>
352<a id="a07e348fae6036aecdaf41e738d1ae9ff"></a>
353<h2 class="memtitle"><span class="permalink"><a href="#a07e348fae6036aecdaf41e738d1ae9ff">&#9670;&nbsp;</a></span>operator==()</h2>
354
355<div class="memitem">
356<div class="memproto">
357 <table class="memname">
358 <tr>
359 <td class="memname">bool operator== </td>
360 <td>(</td>
361 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
362 <td class="paramname"><em>other</em></td><td>)</td>
363 <td> const</td>
364 </tr>
365 </table>
366</div><div class="memdoc">
367
368<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00095">95</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
369
370<p class="reference">Referenced by <a class="el" href="_tensor_8hpp_source.xhtml#l00098">TensorInfo::HasMultipleQuantizationScales()</a>.</p>
371<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">return</span> ((m_NumDimensions == other.m_NumDimensions) &amp;&amp;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::equal(m_Dimensions.cbegin(), m_Dimensions.cbegin() + m_NumDimensions, other.m_Dimensions.cbegin()));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;}</div></div><!-- fragment -->
372</div>
373</div>
374<a id="a6e6dab22049a4432e8306a301dceff52"></a>
375<h2 class="memtitle"><span class="permalink"><a href="#a6e6dab22049a4432e8306a301dceff52">&#9670;&nbsp;</a></span>operator[]() <span class="overload">[1/2]</span></h2>
376
377<div class="memitem">
378<div class="memproto">
379 <table class="memname">
380 <tr>
381 <td class="memname">unsigned int operator[] </td>
382 <td>(</td>
383 <td class="paramtype">unsigned int&#160;</td>
384 <td class="paramname"><em>i</em></td><td>)</td>
385 <td> const</td>
386 </tr>
387 </table>
388</div><div class="memdoc">
389
390<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00083">83</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
391<div class="fragment"><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;{</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; CheckDimensionIndex(i);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;}</div></div><!-- fragment -->
392</div>
393</div>
394<a id="a0bd5fcf80a3838d0922354989762d7c8"></a>
395<h2 class="memtitle"><span class="permalink"><a href="#a0bd5fcf80a3838d0922354989762d7c8">&#9670;&nbsp;</a></span>operator[]() <span class="overload">[2/2]</span></h2>
396
397<div class="memitem">
398<div class="memproto">
399 <table class="memname">
400 <tr>
401 <td class="memname">unsigned int &amp; operator[] </td>
402 <td>(</td>
403 <td class="paramtype">unsigned int&#160;</td>
404 <td class="paramname"><em>i</em></td><td>)</td>
405 <td></td>
406 </tr>
407 </table>
408</div><div class="memdoc">
409
410<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00089">89</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p>
411<div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; CheckDimensionIndex(i);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;}</div></div><!-- fragment -->
412</div>
413</div>
414<hr/>The documentation for this class was generated from the following files:<ul>
415<li>include/armnn/<a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a></li>
416<li>src/armnn/<a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a></li>
417</ul>
418</div><!-- contents -->
419</div><!-- doc-content -->
420<!-- start footer part -->
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422 <ul>
423 <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a></li>
424 <li class="footer">Generated on Fri Mar 13 2020 16:09:20 for ArmNN by
425 <a href="http://www.doxygen.org/index.html">
426 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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