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<div class="title">LayerSupportRules.hpp</div> </div>
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<a href="_layer_support_rules_8hpp.xhtml">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><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;{</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5"> 14</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional&lt;armnn::DataType&gt;</a> <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional&lt;armnn::DataType&gt;</a> weightsType)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <span class="keywordflow">if</span> (!weightsType)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keywordflow">return</span> weightsType;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; }</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keywordflow">switch</span>(weightsType.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>())</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keywordflow">return</span> weightsType;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;GetBiasTypeFromWeightsType(): Unsupported data type.&quot;</span>);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;}</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> F&gt;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9"> 37</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(F rule, <a class="code" href="classarmnn_1_1_optional.xhtml">Optional&lt;std::string&amp;&gt;</a> reasonIfUnsupported, <span class="keyword">const</span> <span class="keywordtype">char</span>* reason)</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = rule();</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordflow">if</span> (!supported &amp;&amp; reason)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() += std::string(reason) + <span class="stringliteral">&quot;\n&quot;</span>; <span class="comment">// Append the reason on a new line</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;}</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structarmnn_1_1_rule.xhtml"> 47</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_rule.xhtml#ac07d93c2c80e51349f3dec89a2e45c84"> 49</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_rule.xhtml#ac07d93c2c80e51349f3dec89a2e45c84">operator()</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6"> 54</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;};</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686"> 58</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686">AllTypesAreEqualImpl</a>(T)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Rest&gt;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2a0bcfb4df0a03357b4cbb8d9e89a3da"> 64</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686">AllTypesAreEqualImpl</a>(T t1, T t2, Rest... rest)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; static_assert(std::is_same&lt;T, TensorInfo&gt;::value, <span class="stringliteral">&quot;Type T must be a TensorInfo&quot;</span>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">return</span> (t1.GetDataType() == t2.GetDataType()) &amp;&amp; <a class="code" href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686">AllTypesAreEqualImpl</a>(t2, rest...);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;}</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structarmnn_1_1_types_are_equal.xhtml"> 71</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> ... Ts&gt;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structarmnn_1_1_types_are_equal.xhtml#a020454384d14ca21eabf01a41380166d"> 74</a></span>&#160; <a class="code" href="structarmnn_1_1_types_are_equal.xhtml#a020454384d14ca21eabf01a41380166d">TypesAreEqual</a>(<span class="keyword">const</span> Ts&amp;... ts)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = <a class="code" href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686">AllTypesAreEqualImpl</a>(ts...);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;};</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantization_parameters_are_equal.xhtml"> 80</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantization_parameters_are_equal.xhtml">QuantizationParametersAreEqual</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;{</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantization_parameters_are_equal.xhtml#abbedb0ee1114a0be4ca44a19b57f7d22"> 82</a></span>&#160; <a class="code" href="structarmnn_1_1_quantization_parameters_are_equal.xhtml#abbedb0ee1114a0be4ca44a19b57f7d22">QuantizationParametersAreEqual</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info1)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = info0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == info1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() &amp;&amp;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; info0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == info1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;};</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_any_of.xhtml"> 89</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Container&gt;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_any_of.xhtml#a3f831199c2d2c5210aee2e8081aa3a67"> 92</a></span>&#160; <a class="code" href="structarmnn_1_1_type_any_of.xhtml#a3f831199c2d2c5210aee2e8081aa3a67">TypeAnyOf</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, <span class="keyword">const</span> Container&amp; c)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = std::any_of(c.begin(), c.end(), [&amp;<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>](<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">return</span> dt == info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; });</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;};</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_is.xhtml"> 101</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_type_is.xhtml">TypeIs</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;{</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_is.xhtml#ac09bd84ee3498a55f7a940a6a1b41b4e"> 103</a></span>&#160; <a class="code" href="structarmnn_1_1_type_is.xhtml#ac09bd84ee3498a55f7a940a6a1b41b4e">TypeIs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = dt == info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;};</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml"> 109</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml">TypeNotPerAxisQuantized</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml#a4bf3c970efff0a9cf66c8a04752c7c59"> 111</a></span>&#160; <a class="code" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml#a4bf3c970efff0a9cf66c8a04752c7c59">TypeNotPerAxisQuantized</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = !info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>() || !info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;};</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="structarmnn_1_1_bias_and_weights_types_match.xhtml"> 117</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_bias_and_weights_types_match.xhtml">BiasAndWeightsTypesMatch</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_bias_and_weights_types_match.xhtml#ad651955377cd4053704938420a944a74"> 119</a></span>&#160; <a class="code" href="structarmnn_1_1_bias_and_weights_types_match.xhtml#ad651955377cd4053704938420a944a74">BiasAndWeightsTypesMatch</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; biases, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; weights)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = biases.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()).value();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;};</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml"> 125</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml">BiasAndWeightsTypesCompatible</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Container&gt;</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml#ae1d3337c0fe643a5fa8cd63df832fea4"> 128</a></span>&#160; <a class="code" href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml#ae1d3337c0fe643a5fa8cd63df832fea4">BiasAndWeightsTypesCompatible</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, <span class="keyword">const</span> Container&amp; c)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = std::any_of(c.begin(), c.end(), [&amp;<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>](<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">return</span> dt == <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()).value();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; });</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;};</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_same_rank.xhtml"> 137</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_shapes_are_same_rank.xhtml">ShapesAreSameRank</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;{</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_same_rank.xhtml#a84552995ebcba27e537ea1e510886527"> 139</a></span>&#160; <a class="code" href="structarmnn_1_1_shapes_are_same_rank.xhtml#a84552995ebcba27e537ea1e510886527">ShapesAreSameRank</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info1)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = info0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == info1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;};</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_same_total_size.xhtml"> 145</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;{</div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_same_total_size.xhtml#a5735f296e51de3b67a75a9475866fd27"> 147</a></span>&#160; <a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml#a5735f296e51de3b67a75a9475866fd27">ShapesAreSameTotalSize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; info1)</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = info0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == info1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;};</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml"> 153</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;{</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a1cb3032fd75b435de52e1d9ec43ea05d"> 155</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a1cb3032fd75b435de52e1d9ec43ea05d">CalcInputSize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; in, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; out, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = out.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - in.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizeIn = (idx &lt; offset) ? 1 : in[idx-offset];</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">return</span> sizeIn;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a732075acd6d9712b7cd3b9244219e6cd"> 162</a></span>&#160; <a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a732075acd6d9712b7cd3b9244219e6cd">ShapesAreBroadcastCompatible</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; in0, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; in1, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; out)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shape0 = in0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shape1 = in1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outShape = out.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i &lt; outShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &amp;&amp; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a>; i++)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizeOut = outShape[i];</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizeIn0 = CalcInputSize(shape0, outShape, i);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizeIn1 = CalcInputSize(shape1, outShape, i);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> &amp;= ((sizeIn0 == sizeOut) || (sizeIn0 == 1)) &amp;&amp;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; ((sizeIn1 == sizeOut) || (sizeIn1 == 1));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;};</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml"> 180</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a> : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;{</div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml#a93cd875c6769c27d023ac70729a0e865"> 182</a></span>&#160; <a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml#a93cd875c6769c27d023ac70729a0e865">TensorNumDimensionsAreCorrect</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedNumDimensions)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">m_Res</a> = info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == expectedNumDimensions;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;};</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_type_not_per_axis_quantized_xhtml_a4bf3c970efff0a9cf66c8a04752c7c59"><div class="ttname"><a href="structarmnn_1_1_type_not_per_axis_quantized.xhtml#a4bf3c970efff0a9cf66c8a04752c7c59">armnn::TypeNotPerAxisQuantized::TypeNotPerAxisQuantized</a></div><div class="ttdeci">TypeNotPerAxisQuantized(const TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00111">LayerSupportRules.hpp:111</a></div></div>
<div class="ttc" id="structarmnn_1_1_type_any_of_xhtml_a3f831199c2d2c5210aee2e8081aa3a67"><div class="ttname"><a href="structarmnn_1_1_type_any_of.xhtml#a3f831199c2d2c5210aee2e8081aa3a67">armnn::TypeAnyOf::TypeAnyOf</a></div><div class="ttdeci">TypeAnyOf(const TensorInfo &amp;info, const Container &amp;c)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00092">LayerSupportRules.hpp:92</a></div></div>
<div class="ttc" id="structarmnn_1_1_bias_and_weights_types_match_xhtml"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_match.xhtml">armnn::BiasAndWeightsTypesMatch</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00117">LayerSupportRules.hpp:117</a></div></div>
<div class="ttc" id="structarmnn_1_1_rule_xhtml"><div class="ttname"><a href="structarmnn_1_1_rule.xhtml">armnn::Rule</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00047">LayerSupportRules.hpp:47</a></div></div>
<div class="ttc" id="structarmnn_1_1_type_any_of_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_any_of.xhtml">armnn::TypeAnyOf</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00089">LayerSupportRules.hpp:89</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="structarmnn_1_1_type_is_xhtml_ac09bd84ee3498a55f7a940a6a1b41b4e"><div class="ttname"><a href="structarmnn_1_1_type_is.xhtml#ac09bd84ee3498a55f7a940a6a1b41b4e">armnn::TypeIs::TypeIs</a></div><div class="ttdeci">TypeIs(const TensorInfo &amp;info, DataType dt)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00103">LayerSupportRules.hpp:103</a></div></div>
<div class="ttc" id="structarmnn_1_1_type_not_per_axis_quantized_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_not_per_axis_quantized.xhtml">armnn::TypeNotPerAxisQuantized</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00109">LayerSupportRules.hpp:109</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00232">Tensor.cpp:232</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a02847c99a2acae3b267615479f93ab55"><div class="ttname"><a href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">armnn::supported</a></div><div class="ttdeci">ISubgraphViewConverter supported</div><div class="ttdef"><b>Definition:</b> <a href="_i_subgraph_view_converter_8hpp_source.xhtml#l00031">ISubgraphViewConverter.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_broadcast_compatible_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">armnn::ShapesAreBroadcastCompatible</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00153">LayerSupportRules.hpp:153</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantization_parameters_are_equal_xhtml_abbedb0ee1114a0be4ca44a19b57f7d22"><div class="ttname"><a href="structarmnn_1_1_quantization_parameters_are_equal.xhtml#abbedb0ee1114a0be4ca44a19b57f7d22">armnn::QuantizationParametersAreEqual::QuantizationParametersAreEqual</a></div><div class="ttdeci">QuantizationParametersAreEqual(const TensorInfo &amp;info0, const TensorInfo &amp;info1)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00082">LayerSupportRules.hpp:82</a></div></div>
<div class="ttc" id="structarmnn_1_1_type_is_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_is.xhtml">armnn::TypeIs</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00101">LayerSupportRules.hpp:101</a></div></div>
<div class="ttc" id="structarmnn_1_1_types_are_equal_xhtml_a020454384d14ca21eabf01a41380166d"><div class="ttname"><a href="structarmnn_1_1_types_are_equal.xhtml#a020454384d14ca21eabf01a41380166d">armnn::TypesAreEqual::TypesAreEqual</a></div><div class="ttdeci">TypesAreEqual(const Ts &amp;... ts)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00074">LayerSupportRules.hpp:74</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_same_total_size_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_total_size.xhtml">armnn::ShapesAreSameTotalSize</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00145">LayerSupportRules.hpp:145</a></div></div>
<div class="ttc" id="structarmnn_1_1_rule_xhtml_ac07d93c2c80e51349f3dec89a2e45c84"><div class="ttname"><a href="structarmnn_1_1_rule.xhtml#ac07d93c2c80e51349f3dec89a2e45c84">armnn::Rule::operator()</a></div><div class="ttdeci">bool operator()() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00049">LayerSupportRules.hpp:49</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch&lt; std::is_reference&lt; T &gt;::value, T &gt;::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_same_total_size_xhtml_a5735f296e51de3b67a75a9475866fd27"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_total_size.xhtml#a5735f296e51de3b67a75a9475866fd27">armnn::ShapesAreSameTotalSize::ShapesAreSameTotalSize</a></div><div class="ttdeci">ShapesAreSameTotalSize(const TensorInfo &amp;info0, const TensorInfo &amp;info1)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00147">LayerSupportRules.hpp:147</a></div></div>
<div class="ttc" id="structarmnn_1_1_rule_xhtml_a56ff3471540bd0e390495d3537db42e6"><div class="ttname"><a href="structarmnn_1_1_rule.xhtml#a56ff3471540bd0e390495d3537db42e6">armnn::Rule::m_Res</a></div><div class="ttdeci">bool m_Res</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00054">LayerSupportRules.hpp:54</a></div></div>
<div class="ttc" id="structarmnn_1_1_bias_and_weights_types_compatible_xhtml"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml">armnn::BiasAndWeightsTypesCompatible</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00125">LayerSupportRules.hpp:125</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a83c4a275acf59f62b8387f389d0929d5"><div class="ttname"><a href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">armnn::GetBiasTypeFromWeightsType</a></div><div class="ttdeci">armnn::Optional&lt; armnn::DataType &gt; GetBiasTypeFromWeightsType(armnn::Optional&lt; armnn::DataType &gt; weightsType)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00014">LayerSupportRules.hpp:14</a></div></div>
<div class="ttc" id="structarmnn_1_1_tensor_num_dimensions_are_correct_xhtml"><div class="ttname"><a href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">armnn::TensorNumDimensionsAreCorrect</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00180">LayerSupportRules.hpp:180</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_broadcast_compatible_xhtml_a732075acd6d9712b7cd3b9244219e6cd"><div class="ttname"><a href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a732075acd6d9712b7cd3b9244219e6cd">armnn::ShapesAreBroadcastCompatible::ShapesAreBroadcastCompatible</a></div><div class="ttdeci">ShapesAreBroadcastCompatible(const TensorInfo &amp;in0, const TensorInfo &amp;in1, const TensorInfo &amp;out)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00162">LayerSupportRules.hpp:162</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00264">Tensor.cpp:264</a></div></div>
<div class="ttc" id="structarmnn_1_1_bias_and_weights_types_compatible_xhtml_ae1d3337c0fe643a5fa8cd63df832fea4"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml#ae1d3337c0fe643a5fa8cd63df832fea4">armnn::BiasAndWeightsTypesCompatible::BiasAndWeightsTypesCompatible</a></div><div class="ttdeci">BiasAndWeightsTypesCompatible(const TensorInfo &amp;info, const Container &amp;c)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00128">LayerSupportRules.hpp:128</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00247">Tensor.cpp:247</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="structarmnn_1_1_bias_and_weights_types_match_xhtml_ad651955377cd4053704938420a944a74"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_match.xhtml#ad651955377cd4053704938420a944a74">armnn::BiasAndWeightsTypesMatch::BiasAndWeightsTypesMatch</a></div><div class="ttdeci">BiasAndWeightsTypesMatch(const TensorInfo &amp;biases, const TensorInfo &amp;weights)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00119">LayerSupportRules.hpp:119</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_same_rank_xhtml_a84552995ebcba27e537ea1e510886527"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_rank.xhtml#a84552995ebcba27e537ea1e510886527">armnn::ShapesAreSameRank::ShapesAreSameRank</a></div><div class="ttdeci">ShapesAreSameRank(const TensorInfo &amp;info0, const TensorInfo &amp;info1)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00139">LayerSupportRules.hpp:139</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_same_rank_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_rank.xhtml">armnn::ShapesAreSameRank</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00137">LayerSupportRules.hpp:137</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a5980f7b42f4df041efebdc6ae242f686"><div class="ttname"><a href="namespacearmnn.xhtml#a5980f7b42f4df041efebdc6ae242f686">armnn::AllTypesAreEqualImpl</a></div><div class="ttdeci">bool AllTypesAreEqualImpl(T)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00058">LayerSupportRules.hpp:58</a></div></div>
<div class="ttc" id="structarmnn_1_1_shapes_are_broadcast_compatible_xhtml_a1cb3032fd75b435de52e1d9ec43ea05d"><div class="ttname"><a href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml#a1cb3032fd75b435de52e1d9ec43ea05d">armnn::ShapesAreBroadcastCompatible::CalcInputSize</a></div><div class="ttdeci">unsigned int CalcInputSize(const TensorShape &amp;in, const TensorShape &amp;out, unsigned int idx)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00155">LayerSupportRules.hpp:155</a></div></div>
<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantization_parameters_are_equal_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantization_parameters_are_equal.xhtml">armnn::QuantizationParametersAreEqual</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00080">LayerSupportRules.hpp:80</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00043">Tensor.hpp:43</a></div></div>
<div class="ttc" id="structarmnn_1_1_tensor_num_dimensions_are_correct_xhtml_a93cd875c6769c27d023ac70729a0e865"><div class="ttname"><a href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml#a93cd875c6769c27d023ac70729a0e865">armnn::TensorNumDimensionsAreCorrect::TensorNumDimensionsAreCorrect</a></div><div class="ttdeci">TensorNumDimensionsAreCorrect(const TensorInfo &amp;info, unsigned int expectedNumDimensions)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00182">LayerSupportRules.hpp:182</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="structarmnn_1_1_types_are_equal_xhtml"><div class="ttname"><a href="structarmnn_1_1_types_are_equal.xhtml">armnn::TypesAreEqual</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00071">LayerSupportRules.hpp:71</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a7c00efeb540198b33b8558c76e5cc2dd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a7c00efeb540198b33b8558c76e5cc2dd">armnn::TensorInfo::IsQuantized</a></div><div class="ttdeci">bool IsQuantized() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00290">Tensor.cpp:290</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_subgraph_view_converter_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_subgraph_view_converter.xhtml">armnn::ISubgraphViewConverter</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_subgraph_view_converter_8hpp_source.xhtml#l00020">ISubgraphViewConverter.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional&lt; std::string &amp;&gt; reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00037">LayerSupportRules.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00093">Tensor.hpp:93</a></div></div>
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