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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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96<div class="title">Tensor.cpp</div> </div>
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98<div class="contents">
99<a href="_tensor_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017,2024 Arm Ltd. All rights reserved.</span></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_utils_8hpp.html">armnn/Utils.hpp</a>&quot;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_exceptions_8hpp.html">armnn/Exceptions.hpp</a>&quot;</span></div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>&quot;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_assert_8hpp.html">armnn/utility/Assert.hpp</a>&gt;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>&gt;</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; </div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;sstream&gt;</span></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; </div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment">// ---</span></div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment">// --- TensorShape</span></div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment">// ---</span></div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
123<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c"> 25</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>()</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; : m_NumDimensions(0), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>::<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Specified</a>)</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;{</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;}</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; </div>
128<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a18cd85c032ed1d07bf07867e50ed143f"> 30</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions, <span class="keywordtype">bool</span> initDimensionsSpecificity)</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>::<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Specified</a>)</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; CheckValidNumDimensions(numDimensions);</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
133<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>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; initDimensionsSpecificity);</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;}</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
138<div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a1c3de06b2e467f9663079dbb619e4732"> 40</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* <span class="keyword">const</span> dimensionSizes)</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>::<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Specified</a>)</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; CheckValidNumDimensions(numDimensions);</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
143<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>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Tensor dimensionSizes must not be NULL&quot;</span>);</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; }</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div>
149<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>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;}</div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; </div>
152<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#ab18f5c64d49bbc1f7a97d031c5e79e3d"> 54</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(std::initializer_list&lt;unsigned int&gt; dimensionSizeList)</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; : <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(<a class="code" href="namespacearmnn.html">armnn</a>::<a class="code" href="namespacearmnn.html#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a>&lt;unsigned int&gt;(dimensionSizeList.size()), dimensionSizeList.begin())</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;}</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; </div>
157<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#aa3f87e5fa5e657a8d1b792b7c43cffe3"> 59</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions,</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* <span class="keyword">const</span> dimensionSizes,</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span>* <span class="keyword">const</span> dimensionsSpecificity)</div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a>::<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Specified</a>)</div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;{</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; CheckValidNumDimensions(numDimensions);</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; </div>
164<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>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Tensor dimensionSizes must not be NULL&quot;</span>);</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; }</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; </div>
169<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>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Tensor dimensionsSpecificity must not be NULL&quot;</span>);</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::copy(dimensionsSpecificity, dimensionsSpecificity + numDimensions, m_DimensionsSpecificity.begin());</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;}</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
178<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a6624ad2ddc20bd7e3be162e0abea38fe"> 80</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(std::initializer_list&lt;unsigned int&gt; dimensionSizeList,</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; std::initializer_list&lt;bool&gt; dimensionsSpecificityList)</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;{</div>
181<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>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">if</span> (dimensionsSpecificityList.size() != numDimensions)</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; {</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Tensors dimensionSizeList and dimensionsSpecificityList must be same size&quot;</span>);</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
187<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>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; </div>
190<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a81652660972380dfe493bf8572e68e39"> 92</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> dimensionality)</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;: m_Dimensionality(dimensionality)</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;{</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">switch</span> (dimensionality)</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div>
195<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>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Use other constructor to specify the rest of the values, this one is only &quot;</span></div>
197<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>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">break</span>;</div>
199<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>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; m_NumDimensions = 0;</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; m_Dimensions = {0};</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; m_DimensionsSpecificity = {<span class="keyword">false</span>};</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">break</span>;</div>
204<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>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; m_NumDimensions = 1;</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; m_Dimensions = {1};</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; m_DimensionsSpecificity = {<span class="keyword">true</span>};</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">break</span>;</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">default</span>:</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Invalid Dimensionality value&quot;</span>);</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; }</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;}</div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
214<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#abe2c91b98905750c515790c88f329670"> 116</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html#a76d053cd9b4373d90682ad646dad334c">TensorShape::TensorShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; other)</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; : m_NumDimensions(other.m_NumDimensions), m_Dimensionality(other.m_Dimensionality)</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div>
217<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>
218<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>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; m_DimensionsSpecificity.begin());</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;}</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; </div>
222<div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a0ca6f42172d27e9799da3e3f7840ac31"> 124</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; <a class="code" href="classarmnn_1_1_tensor_shape.html#a0ca6f42172d27e9799da3e3f7840ac31">TensorShape::operator =</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; other)</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;{</div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; m_NumDimensions = other.m_NumDimensions;</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; m_Dimensionality = other.m_Dimensionality;</div>
226<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>
227<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>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; m_DimensionsSpecificity.begin());</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;}</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; </div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="comment">// read</span></div>
233<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a6e6dab22049a4432e8306a301dceff52"> 135</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a6e6dab22049a4432e8306a301dceff52">TensorShape::operator[]</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="keyword"></span>{</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; CheckUnspecifiedNumDimensions();</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; CheckDimensionIndex(i);</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; CheckDimensionSpecified(i);</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; </div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;}</div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;<span class="comment">// read and write</span></div>
243<div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a0bd5fcf80a3838d0922354989762d7c8"> 145</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; <a class="code" href="classarmnn_1_1_tensor_shape.html#a6e6dab22049a4432e8306a301dceff52">TensorShape::operator[]</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i)</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;{</div>
245<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>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; {</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; std::stringstream errorMessage;</div>
248<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>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; }</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; CheckUnspecifiedNumDimensions();</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; CheckDimensionIndex(i);</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; CheckDimensionSpecified(i);</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordflow">return</span> m_Dimensions.at(i);</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;}</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; </div>
258<div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a07e348fae6036aecdaf41e738d1ae9ff"> 160</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a07e348fae6036aecdaf41e738d1ae9ff">TensorShape::operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; other)<span class="keyword"> const</span></div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;<span class="keyword"></span>{</div>
260<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>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; (m_Dimensionality == other.m_Dimensionality) &amp;&amp;</div>
262<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>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; std::equal(m_DimensionsSpecificity.cbegin(), m_DimensionsSpecificity.cbegin() + m_NumDimensions,</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; other.m_DimensionsSpecificity.cbegin()));</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;}</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; </div>
267<div class="line"><a name="l00169"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a77d202fcd47612eb5a4d6d23a7d4b349"> 169</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a77d202fcd47612eb5a4d6d23a7d4b349">TensorShape::operator!=</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; other)<span class="keyword"> const</span></div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;<span class="keyword"></span>{</div>
269<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>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;}</div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; </div>
272<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24"> 174</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">TensorShape::GetNumDimensions</a>()<span class="keyword"> const</span></div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="keyword"></span>{</div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; CheckUnspecifiedNumDimensions();</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; </div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">return</span> m_NumDimensions;</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;}</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; </div>
279<div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7"> 181</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">TensorShape::GetNumElements</a>()<span class="keyword"> const</span></div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;<span class="keyword"></span>{</div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; CheckUnspecifiedNumDimensions();</div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; </div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keywordflow">if</span> (m_NumDimensions == 0)</div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; {</div>
285<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keywordflow">return</span> 0;</div>
286<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; }</div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; </div>
288<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>
289<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>
290<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>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">if</span> (m_DimensionsSpecificity[i])</div>
293<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; {</div>
294<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; atLeastOneDimensionSpecified = <span class="keyword">true</span>;</div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; count *= m_Dimensions[i];</div>
296<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div>
297<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; }</div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; </div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">if</span> (atLeastOneDimensionSpecified)</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; {</div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span> count;</div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; } </div>
303<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">else</span> </div>
304<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; {</div>
305<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">return</span> 0;</div>
306<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; }</div>
307<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;}</div>
308<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; </div>
309<div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308"> 211</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">TensorShape:: GetDimensionSpecificity</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
310<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="keyword"></span>{</div>
311<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; CheckUnspecifiedNumDimensions();</div>
312<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; CheckDimensionIndex(i);</div>
313<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; </div>
314<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">return</span> m_DimensionsSpecificity[i];</div>
315<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;}</div>
316<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; </div>
317<div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a82c7d5a6e675b1a876daa9983cd125d2"> 219</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a82c7d5a6e675b1a876daa9983cd125d2">TensorShape::SetNumDimensions</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions, <span class="keywordtype">bool</span> initDimensionsSpecificity)</div>
318<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;{</div>
319<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; CheckScalar();</div>
320<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; CheckSpecifiedNumDimensions();</div>
321<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; CheckValidNumDimensions(numDimensions);</div>
322<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; </div>
323<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; m_NumDimensions = numDimensions;</div>
324<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>
325<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>
326<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div>
327<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; initDimensionsSpecificity);</div>
328<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;}</div>
329<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; </div>
330<div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#ad82b782a8e1a05b6a3756e73c66d5f90"> 232</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#ad82b782a8e1a05b6a3756e73c66d5f90">TensorShape::SetDimensionSize</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionSize)</div>
331<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;{</div>
332<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; CheckScalar();</div>
333<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; CheckDimensionIndex(i);</div>
334<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; </div>
335<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; m_Dimensions[i] = dimensionSize;</div>
336<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; m_DimensionsSpecificity[i] = <span class="keyword">true</span>;</div>
337<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;}</div>
338<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; </div>
339<div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1"> 241</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">TensorShape::AreAllDimensionsSpecified</a>()<span class="keyword"> const</span></div>
340<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="keyword"></span>{</div>
341<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; CheckUnspecifiedNumDimensions();</div>
342<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; </div>
343<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>
344<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>
345<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; {</div>
346<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">if</span> (!m_DimensionsSpecificity[i])</div>
347<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; {</div>
348<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; areAllDimensionsSpecified = <span class="keyword">false</span>;</div>
349<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">break</span>;</div>
350<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; }</div>
351<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div>
352<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">return</span> areAllDimensionsSpecified;</div>
353<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;}</div>
354<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; </div>
355<div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_shape.html#a34e12ab75d9073354565c2039f92112b"> 257</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_shape.html#a34e12ab75d9073354565c2039f92112b">TensorShape::IsAtLeastOneDimensionSpecified</a>()<span class="keyword"> const</span></div>
356<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;<span class="keyword"></span>{</div>
357<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; CheckUnspecifiedNumDimensions();</div>
358<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; </div>
359<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>
360<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>
361<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {</div>
362<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">if</span> (m_DimensionsSpecificity[i])</div>
363<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div>
364<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; isAtLeastOneDimensionSpecified = <span class="keyword">true</span>;</div>
365<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">break</span>;</div>
366<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; }</div>
367<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; }</div>
368<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">return</span> isAtLeastOneDimensionSpecified;</div>
369<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;}</div>
370<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; </div>
371<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckDimensionIndex(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
372<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;<span class="keyword"></span>{</div>
373<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span> (i &gt;= m_NumDimensions)</div>
374<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; {</div>
375<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; std::stringstream errorMessage;</div>
376<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;Invalid dimension index: &quot;</span> &lt;&lt; i &lt;&lt; <span class="stringliteral">&quot; (number of dimensions is &quot;</span> &lt;&lt; m_NumDimensions &lt;&lt; <span class="stringliteral">&quot;)&quot;</span>;</div>
377<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
378<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; }</div>
379<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;}</div>
380<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; </div>
381<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckValidNumDimensions(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions)</div>
382<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;{</div>
383<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordflow">if</span> (numDimensions &lt; 1)</div>
384<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; {</div>
385<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Tensor numDimensions must be greater than 0&quot;</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
386<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; }</div>
387<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; </div>
388<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keywordflow">if</span> (numDimensions &gt; <a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>)</div>
389<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; {</div>
390<div class="line"><a name="l00292"></a><span class="lineno"> 292</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>
391<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; , <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
392<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; }</div>
393<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;}</div>
394<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; </div>
395<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckDimensionSpecified(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
396<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;<span class="keyword"></span>{</div>
397<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">if</span> (!m_DimensionsSpecificity[i])</div>
398<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; {</div>
399<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; std::stringstream errorMessage;</div>
400<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;Dimension index: &quot;</span> &lt;&lt; i &lt;&lt; <span class="stringliteral">&quot; not specified. Tensor shape not inferred yet.&quot;</span>;</div>
401<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
402<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; }</div>
403<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;}</div>
404<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; </div>
405<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckScalar()<span class="keyword"> const</span></div>
406<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;<span class="keyword"></span>{</div>
407<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">Dimensionality::Scalar</a> == m_Dimensionality)</div>
408<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; {</div>
409<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; std::stringstream errorMessage;</div>
410<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;Invalid action on a tensor shape that holds a scalar value.&quot;</span>;</div>
411<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
412<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; }</div>
413<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;}</div>
414<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; </div>
415<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckUnspecifiedNumDimensions()<span class="keyword"> const</span></div>
416<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;<span class="keyword"></span>{</div>
417<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a> == m_Dimensionality)</div>
418<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div>
419<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; std::stringstream errorMessage;</div>
420<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;Invalid action on a tensor shape that has unknown number of dimensions.&quot;</span>;</div>
421<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
422<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; }</div>
423<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;}</div>
424<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; </div>
425<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;<span class="keywordtype">void</span> TensorShape::CheckSpecifiedNumDimensions()<span class="keyword"> const</span></div>
426<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160;<span class="keyword"></span>{</div>
427<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a> == m_Dimensionality)</div>
428<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; {</div>
429<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; std::stringstream errorMessage;</div>
430<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; errorMessage &lt;&lt; <span class="stringliteral">&quot;Invalid action on a tensor shape that has known number of dimensions.&quot;</span>;</div>
431<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
432<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; }</div>
433<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160;}</div>
434<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; </div>
435<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;<span class="comment">// ---</span></div>
436<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;<span class="comment">// --- TensorInfo</span></div>
437<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160;<span class="comment">// ---</span></div>
438<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; </div>
439<div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c"> 341</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>()</div>
440<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160;: m_DataType(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">Float32</a>), m_IsConstant(false)</div>
441<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160;{</div>
442<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160;}</div>
443<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; </div>
444<div class="line"><a name="l00346"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#adf2180cf334a3a58c122d45e7bea567d"> 346</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; shape,</div>
445<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div>
446<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="keywordtype">float</span> quantizationScale,</div>
447<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; int32_t quantizationOffset,</div>
448<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <span class="keywordtype">bool</span> isConstant)</div>
449<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; : m_Shape(shape)</div>
450<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; , m_DataType(dataType)</div>
451<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; , m_IsConstant(isConstant)</div>
452<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;{</div>
453<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div>
454<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(quantizationOffset);</div>
455<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;}</div>
456<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; </div>
457<div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a35a1737605f6b189b67f659b463cdf52"> 359</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions,</div>
458<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* dimensionSizes,</div>
459<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div>
460<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <span class="keywordtype">float</span> quantizationScale,</div>
461<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; int32_t quantizationOffset,</div>
462<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <span class="keywordtype">bool</span> isConstant)</div>
463<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; : m_Shape(numDimensions, dimensionSizes), m_DataType(dataType), m_IsConstant(isConstant)</div>
464<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;{</div>
465<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div>
466<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(quantizationOffset);</div>
467<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;}</div>
468<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; </div>
469<div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a20ef8da79251cbf4a70ec8a335f94e5a"> 371</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; shape,</div>
470<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div>
471<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; quantizationScales,</div>
472<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> quantizationDim,</div>
473<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; <span class="keywordtype">bool</span> isConstant)</div>
474<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; : m_Shape(shape)</div>
475<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; , m_DataType(dataType)</div>
476<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; , m_IsConstant(isConstant)</div>
477<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;{</div>
478<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(quantizationScales);</div>
479<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional&lt;unsigned int&gt;(quantizationDim));</div>
480<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;}</div>
481<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; </div>
482<div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a82427ce9fa1e85bb8b785fbe1c8ad34e"> 384</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions,</div>
483<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* dimensionSizes,</div>
484<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div>
485<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; quantizationScales,</div>
486<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> quantizationDim,</div>
487<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; <span class="keywordtype">bool</span> isConstant)</div>
488<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; : m_Shape(numDimensions, dimensionSizes)</div>
489<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; , m_DataType(dataType)</div>
490<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; , m_IsConstant(isConstant)</div>
491<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;{</div>
492<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(quantizationScales);</div>
493<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional&lt;unsigned int&gt;(quantizationDim));</div>
494<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;}</div>
495<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; </div>
496<div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#aef0989e23ab5fc862df9981d3b371f63"> 398</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">TensorInfo::TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; other)</div>
497<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;: m_Shape(other.m_Shape)</div>
498<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;, m_DataType(other.m_DataType)</div>
499<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;, m_IsConstant(other.m_IsConstant)</div>
500<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;, m_Quantization(other.m_Quantization)</div>
501<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;{}</div>
502<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; </div>
503<div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#ac45c8c0052476cd66ef732de76dd9bc8"> 405</a></span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; <a class="code" href="classarmnn_1_1_tensor_info.html#ac45c8c0052476cd66ef732de76dd9bc8">TensorInfo::operator=</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; other)</div>
504<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;{</div>
505<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; m_Shape = other.m_Shape;</div>
506<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; m_DataType = other.m_DataType;</div>
507<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; m_Quantization = other.m_Quantization;</div>
508<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; m_IsConstant = other.m_IsConstant;</div>
509<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
510<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;}</div>
511<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; </div>
512<div class="line"><a name="l00414"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a586e1eec08e847abfeb3de3a4038c5ce"> 414</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a586e1eec08e847abfeb3de3a4038c5ce">TensorInfo::operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; other)<span class="keyword"> const</span></div>
513<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160;<span class="keyword"></span>{</div>
514<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <span class="keywordflow">return</span> ((m_Shape == other.m_Shape) &amp;&amp;</div>
515<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; (m_DataType == other.m_DataType) &amp;&amp;</div>
516<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; (m_Quantization == other.m_Quantization) &amp;&amp;</div>
517<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; (m_IsConstant == other.m_IsConstant));</div>
518<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;}</div>
519<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; </div>
520<div class="line"><a name="l00422"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a2a944e616dc6fdde5287b17f2265307d"> 422</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a2a944e616dc6fdde5287b17f2265307d">TensorInfo::operator!=</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; other)<span class="keyword"> const</span></div>
521<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;<span class="keyword"></span>{</div>
522<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <span class="keywordflow">return</span> !(*<span class="keyword">this</span> == other);</div>
523<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;}</div>
524<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; </div>
525<div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0"> 427</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">TensorInfo::GetNumBytes</a>()<span class="keyword"> const</span></div>
526<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;<span class="keyword"></span>{</div>
527<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">GetDataTypeSize</a>(m_DataType) * <a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div>
528<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;}</div>
529<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; </div>
530<div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1"> 432</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">TensorInfo::IsTypeSpaceMatch</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; other)<span class="keyword"> const</span></div>
531<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160;<span class="keyword"></span>{</div>
532<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; <span class="keywordtype">bool</span> match = <span class="keyword">true</span>;</div>
533<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; </div>
534<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; match &amp;= m_DataType == other.m_DataType;</div>
535<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; </div>
536<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>() &amp;&amp; !<a class="code" href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>())</div>
537<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; {</div>
538<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; match &amp;= <a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == other.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() &amp;&amp;</div>
539<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == other.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>();</div>
540<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; }</div>
541<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <span class="keywordflow">return</span> match;</div>
542<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160;}</div>
543<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; </div>
544<div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48"> 446</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">TensorInfo::HasPerAxisQuantization</a>()<span class="keyword"> const</span></div>
545<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160;<span class="keyword"></span>{</div>
546<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>() || m_Quantization.m_QuantizationDim.has_value();</div>
547<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160;}</div>
548<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; </div>
549<div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270"> 451</a></span>&#160;std::vector&lt;float&gt; <a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">TensorInfo::GetQuantizationScales</a>()<span class="keyword"> const</span></div>
550<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;<span class="keyword"></span>{</div>
551<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <span class="keywordflow">return</span> m_Quantization.m_Scales;</div>
552<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;}</div>
553<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; </div>
554<div class="line"><a name="l00456"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332"> 456</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">TensorInfo::SetQuantizationScales</a>(<span class="keyword">const</span> std::vector&lt;float&gt;&amp; scales)</div>
555<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;{</div>
556<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; m_Quantization.m_Scales = scales;</div>
557<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160;}</div>
558<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; </div>
559<div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0"> 461</a></span>&#160;<span class="keywordtype">float</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">TensorInfo::GetQuantizationScale</a>()<span class="keyword"> const</span></div>
560<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160;<span class="keyword"></span>{</div>
561<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <span class="keywordflow">if</span> (m_Quantization.m_Scales.empty())</div>
562<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; {</div>
563<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; <span class="comment">// NOTE: old default for backward compatibility</span></div>
564<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; <span class="keywordflow">return</span> 1.0f;</div>
565<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; }</div>
566<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; </div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]567<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>())</div>
568<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; {</div>
569<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_runtime_exception.html">RuntimeException</a>(<span class="stringliteral">&quot;Invalid call to GetQuantizationScale on a tensor with multiple scale values. Use &quot;</span></div>
570<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <span class="stringliteral">&quot;GetQuantizationScales instead.&quot;</span>);</div>
571<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; }</div>
572<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; <span class="keywordflow">return</span> m_Quantization.m_Scales[0];</div>
573<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160;}</div>
574<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; </div>
575<div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6"> 477</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">TensorInfo::SetQuantizationScale</a>(<span class="keywordtype">float</span> scale)</div>
576<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;{</div>
577<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; m_Quantization.m_Scales = { scale };</div>
578<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160;}</div>
579<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; </div>
580<div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5"> 482</a></span>&#160;int32_t <a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">TensorInfo::GetQuantizationOffset</a>()<span class="keyword"> const</span></div>
581<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;<span class="keyword"></span>{</div>
582<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">if</span> (!m_Quantization.m_Offset.has_value())</div>
583<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; {</div>
584<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <span class="comment">// NOTE: old default for backward compatibility</span></div>
585<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; <span class="keywordflow">return</span> 0;</div>
586<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; }</div>
587<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; </div>
588<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; <span class="keywordflow">return</span> m_Quantization.m_Offset.value();</div>
589<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;}</div>
590<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; </div>
591<div class="line"><a name="l00493"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c"> 493</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">TensorInfo::SetQuantizationOffset</a>(int32_t offset)</div>
592<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160;{</div>
593<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; m_Quantization.m_Offset = MakeOptional&lt;int32_t&gt;(offset);</div>
594<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160;}</div>
595<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; </div>
596<div class="line"><a name="l00498"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1"> 498</a></span>&#160;<a class="code" href="classarmnn_1_1_optional.html">Optional&lt;unsigned int&gt;</a> <a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">TensorInfo::GetQuantizationDim</a>()<span class="keyword"> const</span></div>
597<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;<span class="keyword"></span>{</div>
598<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; <span class="keywordflow">return</span> m_Quantization.m_QuantizationDim;</div>
599<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160;}</div>
600<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; </div>
601<div class="line"><a name="l00503"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e"> 503</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e">TensorInfo::SetQuantizationDim</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;unsigned int&gt;</a>&amp; quantizationDim)</div>
602<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;{</div>
603<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; m_Quantization.m_QuantizationDim = quantizationDim;</div>
604<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;}</div>
605<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; </div>
606<div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd"> 508</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">TensorInfo::IsQuantized</a>()<span class="keyword"> const</span></div>
607<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160;<span class="keyword"></span>{</div>
608<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(m_DataType);</div>
609<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;}</div>
610<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; </div>
611<div class="line"><a name="l00513"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919"> 513</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">TensorInfo::IsConstant</a>()<span class="keyword"> const</span></div>
612<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160;<span class="keyword"></span>{</div>
613<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="keywordflow">return</span> m_IsConstant;</div>
614<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;}</div>
615<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; </div>
616<div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91"> 518</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">TensorInfo::SetConstant</a>(<span class="keyword">const</span> <span class="keywordtype">bool</span> IsConstant)</div>
617<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160;{</div>
618<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; m_IsConstant = <a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>;</div>
619<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160;}</div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]620<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; </div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]621<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160;<span class="comment">// ---</span></div>
622<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160;<span class="comment">// --- BaseTensor</span></div>
623<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160;<span class="comment">// ---</span></div>
624<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; </div>
625<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MemoryType&gt;</div>
626<div class="line"><a name="l00528"></a><span class="lineno"><a class="line" href="classarmnn_1_1_base_tensor.html#aca0044508ebeb3b236a777db828910ed"> 528</a></span>&#160;<a class="code" href="classarmnn_1_1_base_tensor.html#aca0044508ebeb3b236a777db828910ed">BaseTensor&lt;MemoryType&gt;::BaseTensor</a>()</div>
627<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; : m_MemoryArea(nullptr)</div>
628<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160;{</div>
629<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160;}</div>
630<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; </div>
631<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MemoryType&gt;</div>
632<div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="classarmnn_1_1_base_tensor.html#aa84008eafa57252bcb4cc4b2d779a6f4"> 534</a></span>&#160;<a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;::BaseTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info, MemoryType memoryArea)</div>
633<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; : m_MemoryArea(memoryArea)</div>
634<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; , m_Info(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
635<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;{</div>
636<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160;}</div>
637<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; </div>
638<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MemoryType&gt;</div>
639<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;<a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;::BaseTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;</a>&amp; other)</div>
640<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; : m_MemoryArea(other.m_MemoryArea)</div>
641<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; , m_Info(other.GetInfo())</div>
642<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160;{</div>
643<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;}</div>
644<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; </div>
645<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MemoryType&gt;</div>
646<div class="line"><a name="l00548"></a><span class="lineno"><a class="line" href="classarmnn_1_1_base_tensor.html#a844fc6ba8f5435b5a200072a3ec163af"> 548</a></span>&#160;<a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;</a>&amp; <a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;::operator =</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;MemoryType&gt;</a>&amp; other)</div>
647<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;{</div>
648<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; m_Info = other.m_Info;</div>
649<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; m_MemoryArea = other.<a class="code" href="classarmnn_1_1_base_tensor.html#aba26e5decca8be8786d8a5faf2e06a49">m_MemoryArea</a>;</div>
650<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
651<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;}</div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]652<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; </div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]653<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;<span class="comment">// Explicit instantiations.</span></div>
654<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160;<span class="keyword">template</span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;const void*&gt;</a>;</div>
655<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;<span class="keyword">template</span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_base_tensor.html">BaseTensor&lt;void*&gt;</a>;</div>
656<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; </div>
657<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160;} <span class="comment">// namespace armnn</span></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]658</div><!-- fragment --></div><!-- contents -->
659</div><!-- doc-content -->
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]660<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a82c7d5a6e675b1a876daa9983cd125d2"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a82c7d5a6e675b1a876daa9983cd125d2">armnn::TensorShape::SetNumDimensions</a></div><div class="ttdeci">void SetNumDimensions(unsigned int numDimensions, bool initDimensionsSpecificity=false)</div><div class="ttdoc">Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00219">Tensor.cpp:219</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]661<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a519efe8ff6dc3aacdfe8a999415e3e4e"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e">armnn::TensorInfo::SetQuantizationDim</a></div><div class="ttdeci">void SetQuantizationDim(const Optional&lt; unsigned int &gt; &amp;quantizationDim)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00503">Tensor.cpp:503</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]662<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]663<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::TensorInfo::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00427">Tensor.cpp:427</a></div></div>
664<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional&lt; unsigned int &gt;</a></div></div>
665<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector&lt; float &gt; GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00451">Tensor.cpp:451</a></div></div>
666<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a3919600d4aa8d5cd801a0e0740f62308"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">armnn::TensorShape::GetDimensionSpecificity</a></div><div class="ttdeci">bool GetDimensionSpecificity(unsigned int i) const</div><div class="ttdoc">Gets information about if the dimension size has been specified or not.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00211">Tensor.cpp:211</a></div></div>
667<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00461">Tensor.cpp:461</a></div></div>
668<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
669<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
670<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>
671<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
672<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00241">Tensor.cpp:241</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]673<div class="ttc" id="aclassarmnn_1_1_base_tensor_html_aba26e5decca8be8786d8a5faf2e06a49"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#aba26e5decca8be8786d8a5faf2e06a49">armnn::BaseTensor::m_MemoryArea</a></div><div class="ttdeci">MemoryType m_MemoryArea</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00314">Tensor.hpp:314</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]674<div class="ttc" id="anamespacearmnn_html_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00031">Types.hpp:31</a></div></div>
675<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a6e6dab22049a4432e8306a301dceff52"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a6e6dab22049a4432e8306a301dceff52">armnn::TensorShape::operator[]</a></div><div class="ttdeci">unsigned int operator[](unsigned int i) const</div><div class="ttdoc">Read only operator.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00135">Tensor.cpp:135</a></div></div>
676<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00446">Tensor.cpp:446</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]677<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00513">Tensor.cpp:513</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]678<div class="ttc" id="anamespacearmnn_html_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.html#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.html#l00035">NumericCast.hpp:35</a></div></div>
679<div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div>
680<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a0ca6f42172d27e9799da3e3f7840ac31"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a0ca6f42172d27e9799da3e3f7840ac31">armnn::TensorShape::operator=</a></div><div class="ttdeci">TensorShape &amp; operator=(const TensorShape &amp;other)</div><div class="ttdoc">Assignation function.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00124">Tensor.cpp:124</a></div></div>
681<div class="ttc" id="a_assert_8hpp_html"><div class="ttname"><a href="_assert_8hpp.html">Assert.hpp</a></div></div>
682<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_ad82b782a8e1a05b6a3756e73c66d5f90"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#ad82b782a8e1a05b6a3756e73c66d5f90">armnn::TensorShape::SetDimensionSize</a></div><div class="ttdeci">void SetDimensionSize(unsigned int i, unsigned int dimensionSize)</div><div class="ttdoc">Sets the size of the indicated dimension and Specificity for that dimension is set to true.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00232">Tensor.cpp:232</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]683<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681">armnn::Dimensionality</a></div><div class="ttdeci">Dimensionality</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00172">Types.hpp:172</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]684<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]685<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00477">Tensor.cpp:477</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]686<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a1a8675f9d64c3fb59e6af15362bb6332"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">armnn::TensorInfo::SetQuantizationScales</a></div><div class="ttdeci">void SetQuantizationScales(const std::vector&lt; float &gt; &amp;scales)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00456">Tensor.cpp:456</a></div></div>
687<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a34e12ab75d9073354565c2039f92112b"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a34e12ab75d9073354565c2039f92112b">armnn::TensorShape::IsAtLeastOneDimensionSpecified</a></div><div class="ttdeci">bool IsAtLeastOneDimensionSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00257">Tensor.cpp:257</a></div></div>
688<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]689<div class="ttc" id="aclassarmnn_1_1_base_tensor_html_aca0044508ebeb3b236a777db828910ed"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#aca0044508ebeb3b236a777db828910ed">armnn::BaseTensor::BaseTensor</a></div><div class="ttdeci">BaseTensor()</div><div class="ttdoc">Empty (invalid) constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00528">Tensor.cpp:528</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]690<div class="ttc" id="a_utils_8hpp_html"><div class="ttname"><a href="_utils_8hpp.html">Utils.hpp</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]691<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional&lt; unsigned int &gt; GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00498">Tensor.cpp:498</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]692<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_af672d1c9e2a120a18926cb645981fbb7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">armnn::TensorInfo::HasMultipleQuantizationScales</a></div><div class="ttdeci">bool HasMultipleQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00203">Tensor.hpp:203</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]693<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]694<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a7c00efeb540198b33b8558c76e5cc2dd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">armnn::TensorInfo::IsQuantized</a></div><div class="ttdeci">bool IsQuantized() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00508">Tensor.cpp:508</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]695<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>
696<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a22f377fc4e10dc1773a3f979061e85f1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">armnn::TensorInfo::IsTypeSpaceMatch</a></div><div class="ttdeci">bool IsTypeSpaceMatch(const TensorInfo &amp;other) const</div><div class="ttdoc">Check that the types are the same and, if quantize, that the quantization parameters are the same.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00432">Tensor.cpp:432</a></div></div>
697<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a586e1eec08e847abfeb3de3a4038c5ce"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a586e1eec08e847abfeb3de3a4038c5ce">armnn::TensorInfo::operator==</a></div><div class="ttdeci">bool operator==(const TensorInfo &amp;other) const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00414">Tensor.cpp:414</a></div></div>
698<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
699<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a21c2ae9fa438faf42669dadda628080c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a21c2ae9fa438faf42669dadda628080c">armnn::TensorInfo::TensorInfo</a></div><div class="ttdeci">TensorInfo()</div><div class="ttdoc">Empty (invalid) constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00341">Tensor.cpp:341</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]700<div class="ttc" id="anamespacearmnn_html_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a></div><div class="ttdeci">constexpr unsigned int GetDataTypeSize(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00182">TypesUtils.hpp:182</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]701<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a77d202fcd47612eb5a4d6d23a7d4b349"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a77d202fcd47612eb5a4d6d23a7d4b349">armnn::TensorShape::operator!=</a></div><div class="ttdeci">bool operator!=(const TensorShape &amp;other) const</div><div class="ttdoc">Inequality comparison operator.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00169">Tensor.cpp:169</a></div></div>
702<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>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]703<div class="ttc" id="aclassarmnn_1_1_runtime_exception_html"><div class="ttname"><a href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00120">Exceptions.hpp:120</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]704<div class="ttc" id="aclassarmnn_1_1_base_tensor_html"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html">armnn::BaseTensor</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00279">Tensor.hpp:279</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]705<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
706<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a2a944e616dc6fdde5287b17f2265307d"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a2a944e616dc6fdde5287b17f2265307d">armnn::TensorInfo::operator!=</a></div><div class="ttdeci">bool operator!=(const TensorInfo &amp;other) const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00422">Tensor.cpp:422</a></div></div>
707<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_ac45c8c0052476cd66ef732de76dd9bc8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ac45c8c0052476cd66ef732de76dd9bc8">armnn::TensorInfo::operator=</a></div><div class="ttdeci">TensorInfo &amp; operator=(const TensorInfo &amp;other)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00405">Tensor.cpp:405</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]708<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00493">Tensor.cpp:493</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]709<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>
710<div class="ttc" id="a_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]711<div class="ttc" id="anamespacearmnn_html_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00311">TypesUtils.hpp:311</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]712<div class="ttc" id="a_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div>
713<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
714<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a07e348fae6036aecdaf41e738d1ae9ff"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a07e348fae6036aecdaf41e738d1ae9ff">armnn::TensorShape::operator==</a></div><div class="ttdeci">bool operator==(const TensorShape &amp;other) const</div><div class="ttdoc">Equality comparison operator.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00160">Tensor.cpp:160</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]715<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00518">Tensor.cpp:518</a></div></div>
716<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00482">Tensor.cpp:482</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]717<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00181">Tensor.cpp:181</a></div></div>
718<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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