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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]40 </div>
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94<div class="header">
95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="classarmnn_1_1_tensor_shape-members.html">List of all members</a> </div>
98 <div class="headertitle">
99<div class="title">TensorShape Class Reference</div> </div>
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101<div class="contents">
102
103<p><code>#include &lt;<a class="el" href="_tensor_8hpp_source.html">Tensor.hpp</a>&gt;</code></p>
104<table class="memberdecls">
105<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
106Public Member Functions</h2></td></tr>
107<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.html#a76d053cd9b4373d90682ad646dad334c">TensorShape</a> ()</td></tr>
108<tr class="memdesc:a76d053cd9b4373d90682ad646dad334c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty (invalid) constructor. <a href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">More...</a><br /></td></tr>
109<tr class="separator:a76d053cd9b4373d90682ad646dad334c"><td class="memSeparator" colspan="2">&#160;</td></tr>
110<tr class="memitem:a18cd85c032ed1d07bf07867e50ed143f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a18cd85c032ed1d07bf07867e50ed143f">TensorShape</a> (unsigned int numDimensions, bool initDimensionsSpecificity=true)</td></tr>
111<tr class="memdesc:a18cd85c032ed1d07bf07867e50ed143f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#a18cd85c032ed1d07bf07867e50ed143f">More...</a><br /></td></tr>
112<tr class="separator:a18cd85c032ed1d07bf07867e50ed143f"><td class="memSeparator" colspan="2">&#160;</td></tr>
113<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.html#a1c3de06b2e467f9663079dbb619e4732">TensorShape</a> (unsigned int numDimensions, const unsigned int *dimensionSizes)</td></tr>
114<tr class="memdesc:a1c3de06b2e467f9663079dbb619e4732"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#a1c3de06b2e467f9663079dbb619e4732">More...</a><br /></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.html#ab18f5c64d49bbc1f7a97d031c5e79e3d">TensorShape</a> (std::initializer_list&lt; unsigned int &gt; dimensionSizeList)</td></tr>
117<tr class="memdesc:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#ab18f5c64d49bbc1f7a97d031c5e79e3d">More...</a><br /></td></tr>
118<tr class="separator:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="memSeparator" colspan="2">&#160;</td></tr>
119<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.html#abe2c91b98905750c515790c88f329670">TensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;other)</td></tr>
120<tr class="memdesc:abe2c91b98905750c515790c88f329670"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copy Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#abe2c91b98905750c515790c88f329670">More...</a><br /></td></tr>
121<tr class="separator:abe2c91b98905750c515790c88f329670"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#aa3f87e5fa5e657a8d1b792b7c43cffe3">TensorShape</a> (unsigned int numDimensions, const unsigned int *dimensionSizes, const bool *dimensionsSpecificity)</td></tr>
123<tr class="memdesc:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#aa3f87e5fa5e657a8d1b792b7c43cffe3">More...</a><br /></td></tr>
124<tr class="separator:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a6624ad2ddc20bd7e3be162e0abea38fe">TensorShape</a> (std::initializer_list&lt; unsigned int &gt; dimensionSizeList, std::initializer_list&lt; bool &gt; dimensionsSpecificityList)</td></tr>
126<tr class="memdesc:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#a6624ad2ddc20bd7e3be162e0abea38fe">More...</a><br /></td></tr>
127<tr class="separator:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a81652660972380dfe493bf8572e68e39"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a81652660972380dfe493bf8572e68e39">TensorShape</a> (<a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> dimensionality)</td></tr>
129<tr class="memdesc:a81652660972380dfe493bf8572e68e39"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. <a href="classarmnn_1_1_tensor_shape.html#a81652660972380dfe493bf8572e68e39">More...</a><br /></td></tr>
130<tr class="separator:a81652660972380dfe493bf8572e68e39"><td class="memSeparator" colspan="2">&#160;</td></tr>
131<tr class="memitem:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a0ca6f42172d27e9799da3e3f7840ac31">operator=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;other)</td></tr>
132<tr class="memdesc:a0ca6f42172d27e9799da3e3f7840ac31"><td class="mdescLeft">&#160;</td><td class="mdescRight">Assignation function. <a href="classarmnn_1_1_tensor_shape.html#a0ca6f42172d27e9799da3e3f7840ac31">More...</a><br /></td></tr>
133<tr class="separator:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<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.html#a6e6dab22049a4432e8306a301dceff52">operator[]</a> (unsigned int i) const</td></tr>
135<tr class="memdesc:a6e6dab22049a4432e8306a301dceff52"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read only operator. <a href="classarmnn_1_1_tensor_shape.html#a6e6dab22049a4432e8306a301dceff52">More...</a><br /></td></tr>
136<tr class="separator:a6e6dab22049a4432e8306a301dceff52"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<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.html#a0bd5fcf80a3838d0922354989762d7c8">operator[]</a> (unsigned int i)</td></tr>
138<tr class="memdesc:a0bd5fcf80a3838d0922354989762d7c8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read and write operator. <a href="classarmnn_1_1_tensor_shape.html#a0bd5fcf80a3838d0922354989762d7c8">More...</a><br /></td></tr>
139<tr class="separator:a0bd5fcf80a3838d0922354989762d7c8"><td class="memSeparator" colspan="2">&#160;</td></tr>
140<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.html#a07e348fae6036aecdaf41e738d1ae9ff">operator==</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;other) const</td></tr>
141<tr class="memdesc:a07e348fae6036aecdaf41e738d1ae9ff"><td class="mdescLeft">&#160;</td><td class="mdescRight">Equality comparison operator. <a href="classarmnn_1_1_tensor_shape.html#a07e348fae6036aecdaf41e738d1ae9ff">More...</a><br /></td></tr>
142<tr class="separator:a07e348fae6036aecdaf41e738d1ae9ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<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.html#a77d202fcd47612eb5a4d6d23a7d4b349">operator!=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;other) const</td></tr>
144<tr class="memdesc:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="mdescLeft">&#160;</td><td class="mdescRight">Inequality comparison operator. <a href="classarmnn_1_1_tensor_shape.html#a77d202fcd47612eb5a4d6d23a7d4b349">More...</a><br /></td></tr>
145<tr class="separator:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<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.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a> () const</td></tr>
147<tr class="memdesc:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="mdescLeft">&#160;</td><td class="mdescRight">Function that returns the tensor rank. <a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">More...</a><br /></td></tr>
148<tr class="separator:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="memSeparator" colspan="2">&#160;</td></tr>
149<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.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a> () const</td></tr>
150<tr class="memdesc:a8846406ac37fbd2204f0be16ee05d5b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Function that calculates the tensor elements by multiplying all dimension size which are Specified. <a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">More...</a><br /></td></tr>
151<tr class="separator:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
152<tr class="memitem:a5a212540c00931bd2a4b4041beda33ae"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a> () const</td></tr>
153<tr class="memdesc:a5a212540c00931bd2a4b4041beda33ae"><td class="mdescLeft">&#160;</td><td class="mdescRight">Function that returns the tensor type. <a href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">More...</a><br /></td></tr>
154<tr class="separator:a5a212540c00931bd2a4b4041beda33ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
155<tr class="memitem:a3919600d4aa8d5cd801a0e0740f62308"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a> (unsigned int i) const</td></tr>
156<tr class="memdesc:a3919600d4aa8d5cd801a0e0740f62308"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gets information about if the dimension size has been specified or not. <a href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">More...</a><br /></td></tr>
157<tr class="separator:a3919600d4aa8d5cd801a0e0740f62308"><td class="memSeparator" colspan="2">&#160;</td></tr>
158<tr class="memitem:a82c7d5a6e675b1a876daa9983cd125d2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a82c7d5a6e675b1a876daa9983cd125d2">SetNumDimensions</a> (unsigned int numDimensions, bool initDimensionsSpecificity=false)</td></tr>
159<tr class="memdesc:a82c7d5a6e675b1a876daa9983cd125d2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not. <a href="classarmnn_1_1_tensor_shape.html#a82c7d5a6e675b1a876daa9983cd125d2">More...</a><br /></td></tr>
160<tr class="separator:a82c7d5a6e675b1a876daa9983cd125d2"><td class="memSeparator" colspan="2">&#160;</td></tr>
161<tr class="memitem:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#ad82b782a8e1a05b6a3756e73c66d5f90">SetDimensionSize</a> (unsigned int i, unsigned int dimensionSize)</td></tr>
162<tr class="memdesc:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sets the size of the indicated dimension and Specificity for that dimension is set to true. <a href="classarmnn_1_1_tensor_shape.html#ad82b782a8e1a05b6a3756e73c66d5f90">More...</a><br /></td></tr>
163<tr class="separator:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="memSeparator" colspan="2">&#160;</td></tr>
164<tr class="memitem:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a> () const</td></tr>
165<tr class="memdesc:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks if there is at least one dimension not specified. <a href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">More...</a><br /></td></tr>
166<tr class="separator:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="memSeparator" colspan="2">&#160;</td></tr>
167<tr class="memitem:a34e12ab75d9073354565c2039f92112b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.html#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a> () const</td></tr>
168<tr class="memdesc:a34e12ab75d9073354565c2039f92112b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks if there is at least one dimension specified. <a href="classarmnn_1_1_tensor_shape.html#a34e12ab75d9073354565c2039f92112b">More...</a><br /></td></tr>
169<tr class="separator:a34e12ab75d9073354565c2039f92112b"><td class="memSeparator" colspan="2">&#160;</td></tr>
170</table>
171<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
172<div class="textblock"><dl class="section examples"><dt>Examples</dt><dd><a class="el" href="_async_execution_sample_8cpp-example.html#_a5">AsyncExecutionSample.cpp</a>, <a class="el" href="_custom_memory_allocator_sample_8cpp-example.html#_a12">CustomMemoryAllocatorSample.cpp</a>, <a class="el" href="_dynamic_sample_8cpp-example.html#_a8">DynamicSample.cpp</a>, and <a class="el" href="_simple_sample_8cpp-example.html#_a5">SimpleSample.cpp</a>.</dd>
173</dl>
174
175<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.html#l00020">20</a> of file <a class="el" href="_tensor_8hpp_source.html">Tensor.hpp</a>.</p>
176</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
177<a id="a76d053cd9b4373d90682ad646dad334c"></a>
178<h2 class="memtitle"><span class="permalink"><a href="#a76d053cd9b4373d90682ad646dad334c">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[1/8]</span></h2>
179
180<div class="memitem">
181<div class="memproto">
182 <table class="memname">
183 <tr>
184 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
185 <td>(</td>
186 <td class="paramname"></td><td>)</td>
187 <td></td>
188 </tr>
189 </table>
190</div><div class="memdoc">
191
192<p>Empty (invalid) constructor. </p>
193
194<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00025">25</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
195<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; : m_NumDimensions(0), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
196<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;{</div>
197<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;}</div>
198</div><!-- fragment -->
199<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
200
201<p class="reference">Referenced by <a class="el" href="_tensor_8cpp_source.html#l00080">TensorShape::TensorShape()</a>.</p>
202
203</div>
204</div>
205<a id="a18cd85c032ed1d07bf07867e50ed143f"></a>
206<h2 class="memtitle"><span class="permalink"><a href="#a18cd85c032ed1d07bf07867e50ed143f">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[2/8]</span></h2>
207
208<div class="memitem">
209<div class="memproto">
210<table class="mlabels">
211 <tr>
212 <td class="mlabels-left">
213 <table class="memname">
214 <tr>
215 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
216 <td>(</td>
217 <td class="paramtype">unsigned int&#160;</td>
218 <td class="paramname"><em>numDimensions</em>, </td>
219 </tr>
220 <tr>
221 <td class="paramkey"></td>
222 <td></td>
223 <td class="paramtype">bool&#160;</td>
224 <td class="paramname"><em>initDimensionsSpecificity</em> = <code>true</code>&#160;</td>
225 </tr>
226 <tr>
227 <td></td>
228 <td>)</td>
229 <td></td><td></td>
230 </tr>
231 </table>
232 </td>
233 <td class="mlabels-right">
234<span class="mlabels"><span class="mlabel">explicit</span></span> </td>
235 </tr>
236</table>
237</div><div class="memdoc">
238
239<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
240<dl class="params"><dt>Parameters</dt><dd>
241 <table class="params">
242 <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> rank. </td></tr>
243 <tr><td class="paramname">initDimensionsSpecificity</td><td>(optional) - value to initialize the specificity of each dimension size. </td></tr>
244 </table>
245 </dd>
246</dl>
247
248<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00030">30</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
249<div class="fragment"><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
250<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div>
251<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; CheckValidNumDimensions(numDimensions);</div>
252<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
253<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; std::fill(m_Dimensions.begin(), m_Dimensions.begin() + m_NumDimensions, 0);</div>
254<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div>
255<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; initDimensionsSpecificity);</div>
256<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;}</div>
257</div><!-- fragment -->
258<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
259
260</div>
261</div>
262<a id="a1c3de06b2e467f9663079dbb619e4732"></a>
263<h2 class="memtitle"><span class="permalink"><a href="#a1c3de06b2e467f9663079dbb619e4732">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[3/8]</span></h2>
264
265<div class="memitem">
266<div class="memproto">
267 <table class="memname">
268 <tr>
269 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
270 <td>(</td>
271 <td class="paramtype">unsigned int&#160;</td>
272 <td class="paramname"><em>numDimensions</em>, </td>
273 </tr>
274 <tr>
275 <td class="paramkey"></td>
276 <td></td>
277 <td class="paramtype">const unsigned int *&#160;</td>
278 <td class="paramname"><em>dimensionSizes</em>&#160;</td>
279 </tr>
280 <tr>
281 <td></td>
282 <td>)</td>
283 <td></td><td></td>
284 </tr>
285 </table>
286</div><div class="memdoc">
287
288<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
289<dl class="params"><dt>Parameters</dt><dd>
290 <table class="params">
291 <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> rank. </td></tr>
292 <tr><td class="paramname">dimensionSizes</td><td>- Size of each of dimension. </td></tr>
293 </table>
294 </dd>
295</dl>
296
297<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00040">40</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
298<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
299<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div>
300<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; CheckValidNumDimensions(numDimensions);</div>
301<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
302<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">if</span> (dimensionSizes == <span class="keyword">nullptr</span>)</div>
303<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {</div>
304<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor dimensionSizes must not be NULL&quot;</span>);</div>
305<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; }</div>
306<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
307<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div>
308<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions, <span class="keyword">true</span>);</div>
309<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;}</div>
310</div><!-- fragment -->
311<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
312
313</div>
314</div>
315<a id="ab18f5c64d49bbc1f7a97d031c5e79e3d"></a>
316<h2 class="memtitle"><span class="permalink"><a href="#ab18f5c64d49bbc1f7a97d031c5e79e3d">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[4/8]</span></h2>
317
318<div class="memitem">
319<div class="memproto">
320 <table class="memname">
321 <tr>
322 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
323 <td>(</td>
324 <td class="paramtype">std::initializer_list&lt; unsigned int &gt;&#160;</td>
325 <td class="paramname"><em>dimensionSizeList</em></td><td>)</td>
326 <td></td>
327 </tr>
328 </table>
329</div><div class="memdoc">
330
331<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
332<dl class="params"><dt>Parameters</dt><dd>
333 <table class="params">
334 <tr><td class="paramname">dimensionSizeList</td><td>- Size of each of dimension. </td></tr>
335 </table>
336 </dd>
337</dl>
338
339<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00054">54</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
340<div class="fragment"><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; : <a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape</a>(armnn::numeric_cast&lt;unsigned int&gt;(dimensionSizeList.size()), dimensionSizeList.begin())</div>
341<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div>
342<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;}</div>
343</div><!-- fragment -->
344</div>
345</div>
346<a id="abe2c91b98905750c515790c88f329670"></a>
347<h2 class="memtitle"><span class="permalink"><a href="#abe2c91b98905750c515790c88f329670">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[5/8]</span></h2>
348
349<div class="memitem">
350<div class="memproto">
351 <table class="memname">
352 <tr>
353 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
354 <td>(</td>
355 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;&#160;</td>
356 <td class="paramname"><em>other</em></td><td>)</td>
357 <td></td>
358 </tr>
359 </table>
360</div><div class="memdoc">
361
362<p>Copy Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
363<dl class="params"><dt>Parameters</dt><dd>
364 <table class="params">
365 <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> to copy from. </td></tr>
366 </table>
367 </dd>
368</dl>
369
370<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00116">116</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
371<div class="fragment"><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; : m_NumDimensions(other.m_NumDimensions), m_Dimensionality(other.m_Dimensionality)</div>
372<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div>
373<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div>
374<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; std::copy(other.m_DimensionsSpecificity.cbegin(), other.m_DimensionsSpecificity.cbegin() + other.m_NumDimensions,</div>
375<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; m_DimensionsSpecificity.begin());</div>
376<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;}</div>
377</div><!-- fragment -->
378</div>
379</div>
380<a id="aa3f87e5fa5e657a8d1b792b7c43cffe3"></a>
381<h2 class="memtitle"><span class="permalink"><a href="#aa3f87e5fa5e657a8d1b792b7c43cffe3">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[6/8]</span></h2>
382
383<div class="memitem">
384<div class="memproto">
385 <table class="memname">
386 <tr>
387 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
388 <td>(</td>
389 <td class="paramtype">unsigned int&#160;</td>
390 <td class="paramname"><em>numDimensions</em>, </td>
391 </tr>
392 <tr>
393 <td class="paramkey"></td>
394 <td></td>
395 <td class="paramtype">const unsigned int *&#160;</td>
396 <td class="paramname"><em>dimensionSizes</em>, </td>
397 </tr>
398 <tr>
399 <td class="paramkey"></td>
400 <td></td>
401 <td class="paramtype">const bool *&#160;</td>
402 <td class="paramname"><em>dimensionsSpecificity</em>&#160;</td>
403 </tr>
404 <tr>
405 <td></td>
406 <td>)</td>
407 <td></td><td></td>
408 </tr>
409 </table>
410</div><div class="memdoc">
411
412<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
413<dl class="params"><dt>Parameters</dt><dd>
414 <table class="params">
415 <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> rank. </td></tr>
416 <tr><td class="paramname">dimensionSizes</td><td>- Size of each of dimension. </td></tr>
417 <tr><td class="paramname">dimensionsSpecificity</td><td>- Flags to indicate which dimension has its size specified. </td></tr>
418 </table>
419 </dd>
420</dl>
421
422<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00059">59</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
423<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
424<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;{</div>
425<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; CheckValidNumDimensions(numDimensions);</div>
426<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; </div>
427<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (dimensionSizes == <span class="keyword">nullptr</span>)</div>
428<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
429<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor dimensionSizes must not be NULL&quot;</span>);</div>
430<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; }</div>
431<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; </div>
432<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">if</span> (dimensionsSpecificity == <span class="keyword">nullptr</span>)</div>
433<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div>
434<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor dimensionsSpecificity must not be NULL&quot;</span>);</div>
435<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
436<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
437<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div>
438<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::copy(dimensionsSpecificity, dimensionsSpecificity + numDimensions, m_DimensionsSpecificity.begin());</div>
439<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;}</div>
440</div><!-- fragment -->
441<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
442
443</div>
444</div>
445<a id="a6624ad2ddc20bd7e3be162e0abea38fe"></a>
446<h2 class="memtitle"><span class="permalink"><a href="#a6624ad2ddc20bd7e3be162e0abea38fe">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[7/8]</span></h2>
447
448<div class="memitem">
449<div class="memproto">
450 <table class="memname">
451 <tr>
452 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
453 <td>(</td>
454 <td class="paramtype">std::initializer_list&lt; unsigned int &gt;&#160;</td>
455 <td class="paramname"><em>dimensionSizeList</em>, </td>
456 </tr>
457 <tr>
458 <td class="paramkey"></td>
459 <td></td>
460 <td class="paramtype">std::initializer_list&lt; bool &gt;&#160;</td>
461 <td class="paramname"><em>dimensionsSpecificityList</em>&#160;</td>
462 </tr>
463 <tr>
464 <td></td>
465 <td>)</td>
466 <td></td><td></td>
467 </tr>
468 </table>
469</div><div class="memdoc">
470
471<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
472<dl class="params"><dt>Parameters</dt><dd>
473 <table class="params">
474 <tr><td class="paramname">dimensionSizeList</td><td>- Size of each of dimension. </td></tr>
475 <tr><td class="paramname">dimensionsSpecificityList</td><td>- Flags to indicate which dimension size is specified. </td></tr>
476 </table>
477 </dd>
478</dl>
479
480<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00080">80</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
481<div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;{</div>
482<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">auto</span> numDimensions = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(dimensionSizeList.size());</div>
483<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">if</span> (dimensionsSpecificityList.size() != numDimensions)</div>
484<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; {</div>
485<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensors dimensionSizeList and dimensionsSpecificityList must be same size&quot;</span>);</div>
486<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
487<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
488<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; *<span class="keyword">this</span> = <a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape</a>(numDimensions, dimensionSizeList.begin(), dimensionsSpecificityList.begin());</div>
489<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div>
490</div><!-- fragment -->
491<p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00025">TensorShape::TensorShape()</a>.</p>
492
493</div>
494</div>
495<a id="a81652660972380dfe493bf8572e68e39"></a>
496<h2 class="memtitle"><span class="permalink"><a href="#a81652660972380dfe493bf8572e68e39">&#9670;&nbsp;</a></span>TensorShape() <span class="overload">[8/8]</span></h2>
497
498<div class="memitem">
499<div class="memproto">
500<table class="mlabels">
501 <tr>
502 <td class="mlabels-left">
503 <table class="memname">
504 <tr>
505 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> </td>
506 <td>(</td>
507 <td class="paramtype"><a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>&#160;</td>
508 <td class="paramname"><em>dimensionality</em></td><td>)</td>
509 <td></td>
510 </tr>
511 </table>
512 </td>
513 <td class="mlabels-right">
514<span class="mlabels"><span class="mlabel">explicit</span></span> </td>
515 </tr>
516</table>
517</div><div class="memdoc">
518
519<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>. </p>
520<dl class="params"><dt>Parameters</dt><dd>
521 <table class="params">
522 <tr><td class="paramname">dimensionality</td><td>- Parameter to indicate if the <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> is a Scalar, a <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> of known dimensionality or a <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> of unknown dimensionality. </td></tr>
523 </table>
524 </dd>
525</dl>
526
527<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00092">92</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
528<div class="fragment"><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;: m_Dimensionality(dimensionality)</div>
529<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;{</div>
530<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">switch</span> (dimensionality)</div>
531<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div>
532<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>:</div>
533<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Use other constructor to specify the rest of the values, this one is only &quot;</span></div>
534<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="stringliteral">&quot;for tensors that have an unknown number of dimensions or that are scalar&quot;</span>);</div>
535<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">break</span>;</div>
536<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>:</div>
537<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; m_NumDimensions = 0;</div>
538<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; m_Dimensions = {0};</div>
539<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; m_DimensionsSpecificity = {<span class="keyword">false</span>};</div>
540<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">break</span>;</div>
541<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">Dimensionality::Scalar</a>:</div>
542<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; m_NumDimensions = 1;</div>
543<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; m_Dimensions = {1};</div>
544<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; m_DimensionsSpecificity = {<span class="keyword">true</span>};</div>
545<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">break</span>;</div>
546<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">default</span>:</div>
547<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid Dimensionality value&quot;</span>);</div>
548<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; }</div>
549<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;}</div>
550</div><!-- fragment -->
551<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::NotSpecified</a>, <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>, and <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
552
553</div>
554</div>
555<h2 class="groupheader">Member Function Documentation</h2>
556<a id="acccb75bd1d68a81f6ddd61687f51c5a1"></a>
557<h2 class="memtitle"><span class="permalink"><a href="#acccb75bd1d68a81f6ddd61687f51c5a1">&#9670;&nbsp;</a></span>AreAllDimensionsSpecified()</h2>
558
559<div class="memitem">
560<div class="memproto">
561 <table class="memname">
562 <tr>
563 <td class="memname">bool AreAllDimensionsSpecified </td>
564 <td>(</td>
565 <td class="paramname"></td><td>)</td>
566 <td> const</td>
567 </tr>
568 </table>
569</div><div class="memdoc">
570
571<p>Checks if there is at least one dimension not specified. </p>
572<p>AND of all array elements. </p><dl class="section return"><dt>Returns</dt><dd>- True when all dimension sizes are specified. False when at least one dimension size is not specified. </dd></dl>
573
574<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00241">241</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
575<div class="fragment"><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;{</div>
576<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; CheckUnspecifiedNumDimensions();</div>
577<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; </div>
578<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordtype">bool</span> areAllDimensionsSpecified = <span class="keyword">true</span>;</div>
579<div class="line"><a name="l00246"></a><span class="lineno"> 246</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>
580<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; {</div>
581<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">if</span> (!m_DimensionsSpecificity[i])</div>
582<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; {</div>
583<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; areAllDimensionsSpecified = <span class="keyword">false</span>;</div>
584<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">break</span>;</div>
585<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; }</div>
586<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div>
587<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">return</span> areAllDimensionsSpecified;</div>
588<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;}</div>
589</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]590<p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.html#l00219">armnn_driver::DumpTensor()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">armnn_driver::IsDynamicTensor()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00045">ConstantLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]591
592</div>
593</div>
594<a id="a5a212540c00931bd2a4b4041beda33ae"></a>
595<h2 class="memtitle"><span class="permalink"><a href="#a5a212540c00931bd2a4b4041beda33ae">&#9670;&nbsp;</a></span>GetDimensionality()</h2>
596
597<div class="memitem">
598<div class="memproto">
599<table class="mlabels">
600 <tr>
601 <td class="mlabels-left">
602 <table class="memname">
603 <tr>
604 <td class="memname"><a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> GetDimensionality </td>
605 <td>(</td>
606 <td class="paramname"></td><td>)</td>
607 <td> const</td>
608 </tr>
609 </table>
610 </td>
611 <td class="mlabels-right">
612<span class="mlabels"><span class="mlabel">inline</span></span> </td>
613 </tr>
614</table>
615</div><div class="memdoc">
616
617<p>Function that returns the tensor type. </p>
618<dl class="section return"><dt>Returns</dt><dd>- Parameter to indicate if the <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> is a scalar, a <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> of known dimensionality or a <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> of unknown dimensionality </dd></dl>
619
620<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.html#l00092">92</a> of file <a class="el" href="_tensor_8hpp_source.html">Tensor.hpp</a>.</p>
621<div class="fragment"><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;{ <span class="keywordflow">return</span> m_Dimensionality; }</div>
622</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]623<p class="reference">Referenced by <a class="el" href="_canonical_utils_8hpp_source.html#l00095">armnn_driver::ComputeShape()</a>, <a class="el" href="_gather_nd_layer_8cpp_source.html#l00034">GatherNdLayer::InferOutputShapes()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00034">GatherLayer::InferOutputShapes()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">armnn_driver::IsDynamicTensor()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00335">armnn::operator&lt;&lt;()</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00045">ConstantLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]624
625</div>
626</div>
627<a id="a3919600d4aa8d5cd801a0e0740f62308"></a>
628<h2 class="memtitle"><span class="permalink"><a href="#a3919600d4aa8d5cd801a0e0740f62308">&#9670;&nbsp;</a></span>GetDimensionSpecificity()</h2>
629
630<div class="memitem">
631<div class="memproto">
632 <table class="memname">
633 <tr>
634 <td class="memname">bool GetDimensionSpecificity </td>
635 <td>(</td>
636 <td class="paramtype">unsigned int&#160;</td>
637 <td class="paramname"><em>i</em></td><td>)</td>
638 <td> const</td>
639 </tr>
640 </table>
641</div><div class="memdoc">
642
643<p>Gets information about if the dimension size has been specified or not. </p>
644<dl class="params"><dt>Parameters</dt><dd>
645 <table class="params">
646 <tr><td class="paramname">i</td><td>- Dimension index. </td></tr>
647 </table>
648 </dd>
649</dl>
650<dl class="section return"><dt>Returns</dt><dd>- Flag to indicate if the dimension "i" has a specified size. </dd></dl>
651
652<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00211">211</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
653<div class="fragment"><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;{</div>
654<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; CheckUnspecifiedNumDimensions();</div>
655<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; CheckDimensionIndex(i);</div>
656<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; </div>
657<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">return</span> m_DimensionsSpecificity[i];</div>
658<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;}</div>
659</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]660<p class="reference">Referenced by <a class="el" href="_types_utils_8hpp_source.html#l00335">armnn::operator&lt;&lt;()</a>, and <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]661
662</div>
663</div>
664<a id="a157e27d41e9f6b21f0d3c025fa47dc24"></a>
665<h2 class="memtitle"><span class="permalink"><a href="#a157e27d41e9f6b21f0d3c025fa47dc24">&#9670;&nbsp;</a></span>GetNumDimensions()</h2>
666
667<div class="memitem">
668<div class="memproto">
669 <table class="memname">
670 <tr>
671 <td class="memname">unsigned int GetNumDimensions </td>
672 <td>(</td>
673 <td class="paramname"></td><td>)</td>
674 <td> const</td>
675 </tr>
676 </table>
677</div><div class="memdoc">
678
679<p>Function that returns the tensor rank. </p>
680<dl class="section return"><dt>Returns</dt><dd>- <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> rank. </dd></dl>
681
682<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00174">174</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
683<div class="fragment"><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;{</div>
684<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; CheckUnspecifiedNumDimensions();</div>
685<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; </div>
686<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">return</span> m_NumDimensions;</div>
687<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;}</div>
688</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]689<p class="reference">Referenced by <a class="el" href="_layer_support_rules_8hpp_source.html#l00155">ShapesAreBroadcastCompatible::CalcInputSize()</a>, <a class="el" href="_deserializer_8cpp_source.html#l00188">armnnDeserializer::CheckShape()</a>, <a class="el" href="_cl_stack_workload_8cpp_source.html#l00047">ClStackWorkload::ClStackWorkload()</a>, <a class="el" href="_cl_unidirectional_sequence_lstm_float_workload_8cpp_source.html#l00508">armnn::ClUnidirectionalSequenceLstmFloatWorkloadValidate()</a>, <a class="el" href="_canonical_utils_8hpp_source.html#l00095">armnn_driver::ComputeShape()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00350">armnn_driver::ConvertPaddings()</a>, <a class="el" href="_prototxt_conversions_8cpp_source.html#l00032">armnnUtils::ConvertTensorShapeToString()</a>, <a class="el" href="_tile_8cpp_source.html#l00032">armnn::CoordinatesToIndex()</a>, <a class="el" href="_workload_utils_8hpp_source.html#l00046">armnn::CopyTensorContentsGeneric()</a>, <a class="el" href="_cl_rank_workload_8hpp_source.html#l00020">ClRankWorkload::Execute()</a>, <a class="el" href="_neon_rank_workload_8hpp_source.html#l00020">NeonRankWorkload::Execute()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00142">armnnUtils::ExpandDims()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00170">armnnUtils::ExpandDimsToRank()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00506">BatchMatMulDescriptor::GetAxesNotMul()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00485">BatchMatMulDescriptor::GetAxesToMul()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00261">armnnUtils::GetNumElementsAfter()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00209">armnnUtils::GetNumElementsBetween()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00523">BatchMatMulDescriptor::GetPermuteVec()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00079">GetTosaTensorShape()</a>, <a class="el" href="_tensor_handle_8cpp_source.html#l00015">armnn::GetUnpaddedTensorStrides()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.html#l00023">ElementwiseBaseLayer::InferOutputShapes()</a>, <a class="el" href="_gather_nd_layer_8cpp_source.html#l00034">GatherNdLayer::InferOutputShapes()</a>, <a class="el" href="_batch_mat_mul_layer_8cpp_source.html#l00033">BatchMatMulLayer::InferOutputShapes()</a>, <a class="el" href="_tile_layer_8cpp_source.html#l00032">TileLayer::InferOutputShapes()</a>, <a class="el" href="_elementwise_binary_layer_8cpp_source.html#l00031">ElementwiseBinaryLayer::InferOutputShapes()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00034">GatherLayer::InferOutputShapes()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00037">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00047">StridedSliceLayer::InferOutputShapes()</a>, <a class="el" href="_logical_binary_layer_8cpp_source.html#l00034">LogicalBinaryLayer::InferOutputShapes()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00036">ComparisonLayer::InferOutputShapes()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00038">PreluLayer::InferOutputShapes()</a>, <a class="el" href="_reduce_layer_8cpp_source.html#l00065">ReduceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00035">StackLayer::InferOutputShapes()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00070">MeanLayer::InferOutputShapes()</a>, <a class="el" href="_pad_layer_8cpp_source.html#l00042">PadLayer::InferOutputShapes()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_log_softmax_8cpp_source.html#l00027">armnn::LogSoftmax()</a>, <a class="el" href="_mirror_pad_8cpp_source.html#l00059">armnn::MirrorPad()</a>, <a class="el" href="_neon_stack_workload_8cpp_source.html#l00049">NeonStackWorkload::NeonStackWorkload()</a>, <a class="el" href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.html#l00510">armnn::NeonUnidirectionalSequenceLstmFloatWorkloadValidate()</a>, <a class="el" href="_neon_unidirectional_sequence_lstm_workload_8cpp_source.html#l00491">armnn::NeonUnidirectionalSequenceLstmWorkloadValidate()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00335">armnn::operator&lt;&lt;()</a>, <a class="el" href="_pad_8cpp_source.html#l00039">armnn::Pad()</a>, <a class="el" href="_permute_8cpp_source.html#l00125">armnnUtils::Permuted()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00108">armnnUtils::ReduceDims()</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00162">ShapesAreBroadcastCompatible::ShapesAreBroadcastCompatible()</a>, <a class="el" href="_layer_support_rules_8hpp_source.html#l00139">ShapesAreSameRank::ShapesAreSameRank()</a>, <a class="el" href="_slice_8cpp_source.html#l00014">armnn::Slice()</a>, <a class="el" href="_softmax_8cpp_source.html#l00017">armnn::Softmax()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00195">armnnUtils::SqueezeDims()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.html#l00020">TensorBufferArrayView&lt; DataType &gt;::TensorBufferArrayView()</a>, <a class="el" href="_transpose_8cpp_source.html#l00125">armnnUtils::TransposeTensorShape()</a>, <a class="el" href="_workload_data_8cpp_source.html#l00916">StackQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l00629">ArgMinMaxQueueDescriptor::Validate()</a>, and <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]690
691</div>
692</div>
693<a id="a8846406ac37fbd2204f0be16ee05d5b7"></a>
694<h2 class="memtitle"><span class="permalink"><a href="#a8846406ac37fbd2204f0be16ee05d5b7">&#9670;&nbsp;</a></span>GetNumElements()</h2>
695
696<div class="memitem">
697<div class="memproto">
698 <table class="memname">
699 <tr>
700 <td class="memname">unsigned int GetNumElements </td>
701 <td>(</td>
702 <td class="paramname"></td><td>)</td>
703 <td> const</td>
704 </tr>
705 </table>
706</div><div class="memdoc">
707
708<p>Function that calculates the tensor elements by multiplying all dimension size which are Specified. </p>
709<dl class="section return"><dt>Returns</dt><dd>- Total number of elements in the tensor. </dd></dl>
710
711<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00181">181</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
712<div class="fragment"><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;{</div>
713<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; CheckUnspecifiedNumDimensions();</div>
714<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; </div>
715<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keywordflow">if</span> (m_NumDimensions == 0)</div>
716<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; {</div>
717<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keywordflow">return</span> 0;</div>
718<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; }</div>
719<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; </div>
720<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div>
721<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordtype">bool</span> atLeastOneDimensionSpecified = <span class="keyword">false</span>;</div>
722<div class="line"><a name="l00192"></a><span class="lineno"> 192</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>
723<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div>
724<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">if</span> (m_DimensionsSpecificity[i])</div>
725<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; {</div>
726<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; atLeastOneDimensionSpecified = <span class="keyword">true</span>;</div>
727<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; count *= m_Dimensions[i];</div>
728<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div>
729<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; }</div>
730<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; </div>
731<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">if</span> (atLeastOneDimensionSpecified)</div>
732<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; {</div>
733<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span> count;</div>
734<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; } </div>
735<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">else</span> </div>
736<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; {</div>
737<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">return</span> 0;</div>
738<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; }</div>
739<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;}</div>
740</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]741<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00350">armnn_driver::ConvertPaddings()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00124">QASymm8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00158">QASymmS8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00192">QSymmS8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00226">QSymm16Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00262">Float16Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00295">Float32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00320">ScaledInt32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00353">Int32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00382">Int32ToInt32tDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00411">Int64Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00440">BooleanDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00470">BooleanDecoderBool::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00813">QSymm8PerAxisDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00876">ScaledInt32PerAxisDecoder::DecodeTensor()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00016">armnn::DepthToSpace()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00219">armnn_driver::DumpTensor()</a>, <a class="el" href="_fill_8cpp_source.html#l00013">armnn::Fill()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00081">armnnUtils::FindMinMax()</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetNumElements()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, and <a class="el" href="_scatter_nd_layer_8cpp_source.html#l00052">ScatterNdLayer::ValidateTensorShapesFromInputs()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]742
743</div>
744</div>
745<a id="a34e12ab75d9073354565c2039f92112b"></a>
746<h2 class="memtitle"><span class="permalink"><a href="#a34e12ab75d9073354565c2039f92112b">&#9670;&nbsp;</a></span>IsAtLeastOneDimensionSpecified()</h2>
747
748<div class="memitem">
749<div class="memproto">
750 <table class="memname">
751 <tr>
752 <td class="memname">bool IsAtLeastOneDimensionSpecified </td>
753 <td>(</td>
754 <td class="paramname"></td><td>)</td>
755 <td> const</td>
756 </tr>
757 </table>
758</div><div class="memdoc">
759
760<p>Checks if there is at least one dimension specified. </p>
761<p>OR of all array elements. </p><dl class="section return"><dt>Returns</dt><dd>- True at least one dimension sizes is specified. False when all dimension sizes are not specified. </dd></dl>
762
763<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00257">257</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
764<div class="fragment"><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;{</div>
765<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; CheckUnspecifiedNumDimensions();</div>
766<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; </div>
767<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordtype">bool</span> isAtLeastOneDimensionSpecified = <span class="keyword">false</span>;</div>
768<div class="line"><a name="l00262"></a><span class="lineno"> 262</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>
769<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {</div>
770<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">if</span> (m_DimensionsSpecificity[i])</div>
771<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div>
772<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; isAtLeastOneDimensionSpecified = <span class="keyword">true</span>;</div>
773<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">break</span>;</div>
774<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; }</div>
775<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; }</div>
776<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">return</span> isAtLeastOneDimensionSpecified;</div>
777<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;}</div>
778</div><!-- fragment -->
779</div>
780</div>
781<a id="a77d202fcd47612eb5a4d6d23a7d4b349"></a>
782<h2 class="memtitle"><span class="permalink"><a href="#a77d202fcd47612eb5a4d6d23a7d4b349">&#9670;&nbsp;</a></span>operator!=()</h2>
783
784<div class="memitem">
785<div class="memproto">
786 <table class="memname">
787 <tr>
788 <td class="memname">bool operator!= </td>
789 <td>(</td>
790 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;&#160;</td>
791 <td class="paramname"><em>other</em></td><td>)</td>
792 <td> const</td>
793 </tr>
794 </table>
795</div><div class="memdoc">
796
797<p>Inequality comparison operator. </p>
798<dl class="params"><dt>Parameters</dt><dd>
799 <table class="params">
800 <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> to compare with. </td></tr>
801 </table>
802 </dd>
803</dl>
804
805<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00169">169</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
806<div class="fragment"><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;{</div>
807<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">return</span> !(*<span class="keyword">this</span> == other);</div>
808<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;}</div>
809</div><!-- fragment -->
810</div>
811</div>
812<a id="a0ca6f42172d27e9799da3e3f7840ac31"></a>
813<h2 class="memtitle"><span class="permalink"><a href="#a0ca6f42172d27e9799da3e3f7840ac31">&#9670;&nbsp;</a></span>operator=()</h2>
814
815<div class="memitem">
816<div class="memproto">
817 <table class="memname">
818 <tr>
819 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp; operator= </td>
820 <td>(</td>
821 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;&#160;</td>
822 <td class="paramname"><em>other</em></td><td>)</td>
823 <td></td>
824 </tr>
825 </table>
826</div><div class="memdoc">
827
828<p>Assignation function. </p>
829<dl class="params"><dt>Parameters</dt><dd>
830 <table class="params">
831 <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> to copy from. </td></tr>
832 </table>
833 </dd>
834</dl>
835
836<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00124">124</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
837<div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;{</div>
838<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; m_NumDimensions = other.m_NumDimensions;</div>
839<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; m_Dimensionality = other.m_Dimensionality;</div>
840<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div>
841<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; std::copy(other.m_DimensionsSpecificity.cbegin(), other.m_DimensionsSpecificity.cbegin() + other.m_NumDimensions,</div>
842<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; m_DimensionsSpecificity.begin());</div>
843<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
844<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;}</div>
845</div><!-- fragment -->
846</div>
847</div>
848<a id="a07e348fae6036aecdaf41e738d1ae9ff"></a>
849<h2 class="memtitle"><span class="permalink"><a href="#a07e348fae6036aecdaf41e738d1ae9ff">&#9670;&nbsp;</a></span>operator==()</h2>
850
851<div class="memitem">
852<div class="memproto">
853 <table class="memname">
854 <tr>
855 <td class="memname">bool operator== </td>
856 <td>(</td>
857 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;&#160;</td>
858 <td class="paramname"><em>other</em></td><td>)</td>
859 <td> const</td>
860 </tr>
861 </table>
862</div><div class="memdoc">
863
864<p>Equality comparison operator. </p>
865<dl class="params"><dt>Parameters</dt><dd>
866 <table class="params">
867 <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> to compare with. </td></tr>
868 </table>
869 </dd>
870</dl>
871
872<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00160">160</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
873<div class="fragment"><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;{</div>
874<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">return</span> ((m_NumDimensions == other.m_NumDimensions) &amp;&amp;</div>
875<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; (m_Dimensionality == other.m_Dimensionality) &amp;&amp;</div>
876<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; std::equal(m_Dimensions.cbegin(), m_Dimensions.cbegin() + m_NumDimensions, other.m_Dimensions.cbegin()) &amp;&amp;</div>
877<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; std::equal(m_DimensionsSpecificity.cbegin(), m_DimensionsSpecificity.cbegin() + m_NumDimensions,</div>
878<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; other.m_DimensionsSpecificity.cbegin()));</div>
879<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;}</div>
880</div><!-- fragment -->
881</div>
882</div>
883<a id="a0bd5fcf80a3838d0922354989762d7c8"></a>
884<h2 class="memtitle"><span class="permalink"><a href="#a0bd5fcf80a3838d0922354989762d7c8">&#9670;&nbsp;</a></span>operator[]() <span class="overload">[1/2]</span></h2>
885
886<div class="memitem">
887<div class="memproto">
888 <table class="memname">
889 <tr>
890 <td class="memname">unsigned int &amp; operator[] </td>
891 <td>(</td>
892 <td class="paramtype">unsigned int&#160;</td>
893 <td class="paramname"><em>i</em></td><td>)</td>
894 <td></td>
895 </tr>
896 </table>
897</div><div class="memdoc">
898
899<p>Read and write operator. </p>
900<dl class="params"><dt>Parameters</dt><dd>
901 <table class="params">
902 <tr><td class="paramname">i</td><td>- Dimension index. </td></tr>
903 </table>
904 </dd>
905</dl>
906
907<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00145">145</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
908<div class="fragment"><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;{</div>
909<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">Dimensionality::Scalar</a> == m_Dimensionality)</div>
910<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; {</div>
911<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; std::stringstream errorMessage;</div>
912<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;TensorShape with Dimensionality::Scalar must be const to use operator[]&quot;</span>;</div>
913<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
914<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; }</div>
915<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; CheckUnspecifiedNumDimensions();</div>
916<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; CheckDimensionIndex(i);</div>
917<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; CheckDimensionSpecified(i);</div>
918<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
919<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div>
920<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;}</div>
921</div><!-- fragment -->
922<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>.</p>
923
924</div>
925</div>
926<a id="a6e6dab22049a4432e8306a301dceff52"></a>
927<h2 class="memtitle"><span class="permalink"><a href="#a6e6dab22049a4432e8306a301dceff52">&#9670;&nbsp;</a></span>operator[]() <span class="overload">[2/2]</span></h2>
928
929<div class="memitem">
930<div class="memproto">
931 <table class="memname">
932 <tr>
933 <td class="memname">unsigned int operator[] </td>
934 <td>(</td>
935 <td class="paramtype">unsigned int&#160;</td>
936 <td class="paramname"><em>i</em></td><td>)</td>
937 <td> const</td>
938 </tr>
939 </table>
940</div><div class="memdoc">
941
942<p>Read only operator. </p>
943<dl class="params"><dt>Parameters</dt><dd>
944 <table class="params">
945 <tr><td class="paramname">i</td><td>- Dimension index. </td></tr>
946 </table>
947 </dd>
948</dl>
949
950<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00135">135</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
951<div class="fragment"><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div>
952<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; CheckUnspecifiedNumDimensions();</div>
953<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; CheckDimensionIndex(i);</div>
954<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; CheckDimensionSpecified(i);</div>
955<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; </div>
956<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div>
957<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;}</div>
958</div><!-- fragment -->
959</div>
960</div>
961<a id="ad82b782a8e1a05b6a3756e73c66d5f90"></a>
962<h2 class="memtitle"><span class="permalink"><a href="#ad82b782a8e1a05b6a3756e73c66d5f90">&#9670;&nbsp;</a></span>SetDimensionSize()</h2>
963
964<div class="memitem">
965<div class="memproto">
966 <table class="memname">
967 <tr>
968 <td class="memname">void SetDimensionSize </td>
969 <td>(</td>
970 <td class="paramtype">unsigned int&#160;</td>
971 <td class="paramname"><em>i</em>, </td>
972 </tr>
973 <tr>
974 <td class="paramkey"></td>
975 <td></td>
976 <td class="paramtype">unsigned int&#160;</td>
977 <td class="paramname"><em>dimensionSize</em>&#160;</td>
978 </tr>
979 <tr>
980 <td></td>
981 <td>)</td>
982 <td></td><td></td>
983 </tr>
984 </table>
985</div><div class="memdoc">
986
987<p>Sets the size of the indicated dimension and Specificity for that dimension is set to true. </p>
988<dl class="params"><dt>Parameters</dt><dd>
989 <table class="params">
990 <tr><td class="paramname">i</td><td>- Dimension index. </td></tr>
991 <tr><td class="paramname">dimensionSize</td><td>- size of one dimension. </td></tr>
992 </table>
993 </dd>
994</dl>
995
996<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00232">232</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
997<div class="fragment"><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;{</div>
998<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; CheckScalar();</div>
999<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; CheckDimensionIndex(i);</div>
1000<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; </div>
1001<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; m_Dimensions[i] = dimensionSize;</div>
1002<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; m_DimensionsSpecificity[i] = <span class="keyword">true</span>;</div>
1003<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;}</div>
1004</div><!-- fragment -->
1005</div>
1006</div>
1007<a id="a82c7d5a6e675b1a876daa9983cd125d2"></a>
1008<h2 class="memtitle"><span class="permalink"><a href="#a82c7d5a6e675b1a876daa9983cd125d2">&#9670;&nbsp;</a></span>SetNumDimensions()</h2>
1009
1010<div class="memitem">
1011<div class="memproto">
1012 <table class="memname">
1013 <tr>
1014 <td class="memname">void SetNumDimensions </td>
1015 <td>(</td>
1016 <td class="paramtype">unsigned int&#160;</td>
1017 <td class="paramname"><em>numDimensions</em>, </td>
1018 </tr>
1019 <tr>
1020 <td class="paramkey"></td>
1021 <td></td>
1022 <td class="paramtype">bool&#160;</td>
1023 <td class="paramname"><em>initDimensionsSpecificity</em> = <code>false</code>&#160;</td>
1024 </tr>
1025 <tr>
1026 <td></td>
1027 <td>)</td>
1028 <td></td><td></td>
1029 </tr>
1030 </table>
1031</div><div class="memdoc">
1032
1033<p>Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not. </p>
1034<dl class="params"><dt>Parameters</dt><dd>
1035 <table class="params">
1036 <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.html" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.">Tensor</a> rank. </td></tr>
1037 <tr><td class="paramname">initDimensionsSpecificity</td><td>(optional) - value to initialize the specificity of each dimension size. </td></tr>
1038 </table>
1039 </dd>
1040</dl>
1041
1042<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.html#l00219">219</a> of file <a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a>.</p>
1043<div class="fragment"><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;{</div>
1044<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; CheckScalar();</div>
1045<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; CheckSpecifiedNumDimensions();</div>
1046<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; CheckValidNumDimensions(numDimensions);</div>
1047<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; </div>
1048<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; m_NumDimensions = numDimensions;</div>
1049<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; m_Dimensionality = <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>;</div>
1050<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; std::fill(m_Dimensions.begin(), m_Dimensions.begin() + m_NumDimensions, 0);</div>
1051<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div>
1052<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; initDimensionsSpecificity);</div>
1053<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;}</div>
1054</div><!-- fragment -->
1055<p class="reference">References <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p>
1056
1057</div>
1058</div>
1059<hr/>The documentation for this class was generated from the following files:<ul>
1060<li>include/armnn/<a class="el" href="_tensor_8hpp_source.html">Tensor.hpp</a></li>
1061<li>src/armnn/<a class="el" href="_tensor_8cpp_source.html">Tensor.cpp</a></li>
1062</ul>
1063</div><!-- contents -->
1064</div><!-- doc-content -->
1065<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
1066<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div><div class="ttdeci">@ Scalar</div></div>
1067<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div><div class="ttdeci">@ NotSpecified</div></div>
1068<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div><div class="ttdeci">@ Specified</div></div>
1069<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a76d053cd9b4373d90682ad646dad334c"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00025">Tensor.cpp:25</a></div></div>
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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]1074 <li class="footer">Generated on Thu May 16 2024 09:31:59 for Arm NN by
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