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+<a href="_const_tensor_layer_visitor_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><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">#include &quot;<a class="code" href="_const_tensor_layer_visitor_8hpp.html">ConstTensorLayerVisitor.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_network_8hpp.html">Network.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&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.html">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="classarmnn_1_1_test_convolution2d_layer_visitor.html#ac8b078bb166c52b45f04cae3e74557ad">   14</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_convolution2d_layer_visitor.html#ac8b078bb166c52b45f04cae3e74557ad">TestConvolution2dLayerVisitor::CheckDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a> &amp;convolution2dDescriptor)</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;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>);</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>);</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>);</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>);</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>);</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>);</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>);</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == convolution2dDescriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;}</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor.html#a8498083056c114343a16c556beea6057">   26</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor.html#a8498083056c114343a16c556beea6057">TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor</a>(</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160; 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descriptor)</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>);</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_TransposeWeightMatrix == descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>);</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;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_batch_normalization_layer_visitor.html#abb0d5c2c24fc8c43d01e0fe503df2e93">   45</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_batch_normalization_layer_visitor.html#abb0d5c2c24fc8c43d01e0fe503df2e93">TestBatchNormalizationLayerVisitor::CheckDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_Eps == descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;}</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_lstm_layer_visitor.html#a7f36acbe9f04ed87e4bc8529f7ec0391">   51</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_lstm_layer_visitor.html#a7f36acbe9f04ed87e4bc8529f7ec0391">TestLstmLayerVisitor::CheckDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>&amp; descriptor)</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;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_ActivationFunc == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_ClippingThresCell == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_ClippingThresProj == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>);</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_CifgEnabled == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_PeepholeEnabled == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>);</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(m_Descriptor.m_ProjectionEnabled == descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>);</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;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">   61</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">TestLstmLayerVisitor::CheckConstTensorPtrs</a>(<span class="keyword">const</span> std::string&amp; name,</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;                                                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>* expected,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                                                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>* actual)</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;{</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordflow">if</span> (expected == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    {</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        BOOST_CHECK_MESSAGE(actual == <span class="keyword">nullptr</span>, name + <span class="stringliteral">&quot; actual should have been a nullptr&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    }</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keywordflow">else</span></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">   71</span>&#160;        BOOST_CHECK_MESSAGE(actual != <span class="keyword">nullptr</span>, name + <span class="stringliteral">&quot; actual should have been set&quot;</span>);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <span class="keywordflow">if</span> (actual != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        {</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;            <a class="code" href="classarmnn_1_1_test_layer_visitor.html#ab49c9a185af94e39ae9cd81aa8ec926c">CheckConstTensors</a>(*expected, *actual);</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;    }</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"><a class="line" href="classarmnn_1_1_test_lstm_layer_visitor.html#a7607350d75bcb2ac402bba7494585f33">   79</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_lstm_layer_visitor.html#a7607350d75bcb2ac402bba7494585f33">TestLstmLayerVisitor::CheckInputParameters</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>&amp; inputParams)</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;{</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;ProjectionBias&quot;</span>, m_InputParams.m_ProjectionBias, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;ProjectionWeights&quot;</span>, m_InputParams.m_ProjectionWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;OutputGateBias&quot;</span>, m_InputParams.m_OutputGateBias, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputToInputWeights&quot;</span>,</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        m_InputParams.m_InputToInputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputToForgetWeights&quot;</span>,</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        m_InputParams.m_InputToForgetWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputToCellWeights&quot;</span>, m_InputParams.m_InputToCellWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        <span class="stringliteral">&quot;InputToOutputWeights&quot;</span>, m_InputParams.m_InputToOutputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        <span class="stringliteral">&quot;RecurrentToInputWeights&quot;</span>, m_InputParams.m_RecurrentToInputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="stringliteral">&quot;RecurrentToForgetWeights&quot;</span>, m_InputParams.m_RecurrentToForgetWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        <span class="stringliteral">&quot;RecurrentToCellWeights&quot;</span>, m_InputParams.m_RecurrentToCellWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="stringliteral">&quot;RecurrentToOutputWeights&quot;</span>, m_InputParams.m_RecurrentToOutputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        <span class="stringliteral">&quot;CellToInputWeights&quot;</span>, m_InputParams.m_CellToInputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        <span class="stringliteral">&quot;CellToForgetWeights&quot;</span>, m_InputParams.m_CellToForgetWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    CheckConstTensorPtrs(</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        <span class="stringliteral">&quot;CellToOutputWeights&quot;</span>, m_InputParams.m_CellToOutputWeights, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputGateBias&quot;</span>, m_InputParams.m_InputGateBias, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;ForgetGateBias&quot;</span>, m_InputParams.m_ForgetGateBias, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;CellBias&quot;</span>, m_InputParams.m_CellBias, inputParams.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>);</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">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">  110</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">TestQuantizedLstmLayerVisitor::CheckConstTensorPtrs</a>(<span class="keyword">const</span> std::string&amp; name,</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;                                                         <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>* expected,</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;                                                         <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>* actual)</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;{</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordflow">if</span> (expected == <span class="keyword">nullptr</span>)</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;        BOOST_CHECK_MESSAGE(actual == <span class="keyword">nullptr</span>, name + <span class="stringliteral">&quot; actual should have been a nullptr&quot;</span>);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    }</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    {</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        BOOST_CHECK_MESSAGE(actual != <span class="keyword">nullptr</span>, name + <span class="stringliteral">&quot; actual should have been set&quot;</span>);</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordflow">if</span> (actual != <span class="keyword">nullptr</span>)</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;            <a class="code" href="classarmnn_1_1_test_layer_visitor.html#ab49c9a185af94e39ae9cd81aa8ec926c">CheckConstTensors</a>(*expected, *actual);</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">  125</span>&#160;    }</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;</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac6627007bd7a0b3a00cc690307840039">  128</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac6627007bd7a0b3a00cc690307840039">TestQuantizedLstmLayerVisitor::CheckInputParameters</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html">QuantizedLstmInputParams</a>&amp; inputParams)</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;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputToInputWeights&quot;</span>,</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                         m_InputParams.m_InputToInputWeights,</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                         inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>);</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;    CheckConstTensorPtrs(<span class="stringliteral">&quot;InputToForgetWeights&quot;</span>,</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                         m_InputParams.m_InputToForgetWeights,</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                         inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160; 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                        inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    CheckConstTensorPtrs(<span class="stringliteral">&quot;RecurrentToCellWeights&quot;</span>,</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;                         m_InputParams.m_RecurrentToCellWeights,</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;                         inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160; 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           4, cellBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), cellBiasData);</div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;</div><div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;    std::vector&lt;float&gt; outputGateBiasData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;    std::vector&lt;unsigned int&gt; outputGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> outputGateBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;            4, outputGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), outputGateBiasData);</div><div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;</div><div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160; 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inputToOutputWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    std::vector&lt;unsigned int&gt; inputToOutputWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> inputToOutputWeights(</div><div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(4, inputToOutputWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), inputToOutputWeightsData);</div><div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;</div><div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;    std::vector&lt;float&gt; recurrentToForgetWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160; 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recurrentToOutputWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToOutputWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;            4, recurrentToOutputWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), recurrentToOutputWeightsData);</div><div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;</div><div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;    std::vector&lt;float&gt; forgetGateBiasData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;    std::vector&lt;unsigned int&gt; forgetGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> forgetGateBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;            4, forgetGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), forgetGateBiasData);</div><div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;</div><div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;    std::vector&lt;float&gt; cellBiasData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;    std::vector&lt;unsigned int&gt; cellBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> cellBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;            4, cellBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), cellBiasData);</div><div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;</div><div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    std::vector&lt;float&gt; outputGateBiasData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;    std::vector&lt;unsigned int&gt; outputGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> outputGateBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;            4, outputGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), outputGateBiasData);</div><div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;</div><div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160; 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           <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(4, inputToForgetWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), inputToForgetWeightsData);</div><div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;</div><div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;    std::vector&lt;float&gt; inputToCellWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;    std::vector&lt;unsigned int&gt; inputToCellWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> inputToCellWeights(</div><div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(4, inputToCellWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), inputToCellWeightsData);</div><div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;</div><div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160; 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recurrentToForgetWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToForgetWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToForgetWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;            4, recurrentToForgetWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), recurrentToForgetWeightsData);</div><div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;</div><div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;    std::vector&lt;float&gt; recurrentToCellWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToCellWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToCellWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;            4, recurrentToCellWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), recurrentToCellWeightsData);</div><div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;</div><div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;    std::vector&lt;float&gt; recurrentToOutputWeightsData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToOutputWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToOutputWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;            4, recurrentToOutputWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), recurrentToOutputWeightsData);</div><div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;</div><div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;    std::vector&lt;float&gt; forgetGateBiasData = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0};</div><div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;    std::vector&lt;unsigned int&gt; 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           4, recurrentToForgetWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>), recurrentToForgetWeightsData);</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160;</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160;    std::vector&lt;uint8_t&gt; recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToCellWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToCellWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;            4, recurrentToCellWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>), recurrentToCellWeightsData);</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; 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recurrentToForgetWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToForgetWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160;            4, recurrentToForgetWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>), recurrentToForgetWeightsData);</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160;    std::vector&lt;uint8_t&gt; recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToCellWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToCellWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;            4, recurrentToCellWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>), recurrentToCellWeightsData);</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160;</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;    std::vector&lt;uint8_t&gt; recurrentToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160;    std::vector&lt;unsigned int&gt; recurrentToOutputWeightsDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> recurrentToOutputWeights(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160;            4, recurrentToOutputWeightsDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>), recurrentToOutputWeightsData);</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160;</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;    std::vector&lt;int32_t&gt; inputGateBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160;    std::vector&lt;unsigned int&gt; inputGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> inputGateBias(</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(4, inputGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), inputGateBiasData);</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;    std::vector&lt;int32_t&gt; forgetGateBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;    std::vector&lt;unsigned int&gt; forgetGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> forgetGateBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160;            4, forgetGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), forgetGateBiasData);</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160;    std::vector&lt;int32_t&gt; cellBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;    std::vector&lt;unsigned int&gt; cellBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> cellBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;            4, cellBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), cellBiasData);</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160;</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;    std::vector&lt;int32_t&gt; outputGateBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9};</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;    std::vector&lt;unsigned int&gt; outputGateBiasDimensions = {1, 1, 3, 3};</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160;    <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> outputGateBias(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160;            4, outputGateBiasDimensions.data(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>), outputGateBiasData);</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;    <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html">QuantizedLstmInputParams</a> params;</div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> = &amp;inputToInputWeights;</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a> = &amp;inputToForgetWeights;</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a> = &amp;inputToCellWeights;</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a> = &amp;inputToOutputWeights;</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> = &amp;recurrentToInputWeights;</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a> = &amp;recurrentToForgetWeights;</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a> = &amp;recurrentToCellWeights;</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a> = &amp;recurrentToOutputWeights;</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160;</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160;    params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> = &amp;inputGateBias;</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160; 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+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00482">Descriptors.hpp:482</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_batch_normalization_layer_visitor_html_abb0d5c2c24fc8c43d01e0fe503df2e93"><div class="ttname"><a href="classarmnn_1_1_test_batch_normalization_layer_visitor.html#abb0d5c2c24fc8c43d01e0fe503df2e93">armnn::TestBatchNormalizationLayerVisitor::CheckDescriptor</a></div><div class="ttdeci">void CheckDescriptor(const BatchNormalizationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00045">ConstTensorLayerVisitor.cpp:45</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::LstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00043">LstmParams.hpp:43</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00480">Descriptors.hpp:480</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00440">Descriptors.hpp:440</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a35b112e30c3eb153806a2a8c16d178e3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">armnn::LstmInputParams::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00049">LstmParams.hpp:49</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">armnn::QuantizedLstmInputParams::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00038">QuantizedLstmParams.hpp:38</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_lstm_layer_visitor_html_ac45b7720c3156ab1004a904da7d42b44"><div class="ttname"><a href="classarmnn_1_1_test_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">armnn::TestLstmLayerVisitor::CheckConstTensorPtrs</a></div><div class="ttdeci">void CheckConstTensorPtrs(const std::string &amp;name, const ConstTensor *expected, const ConstTensor *actual)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00061">ConstTensorLayerVisitor.cpp:61</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00424">Descriptors.hpp:424</a></div></div>
+<div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">armnn::QuantizedLstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00035">QuantizedLstmParams.hpp:35</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">armnn::LstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00041">LstmParams.hpp:41</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00863">Descriptors.hpp:863</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">armnn::QuantizedLstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00045">QuantizedLstmParams.hpp:45</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00474">Descriptors.hpp:474</a></div></div>
+<div class="ttc" id="classarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_batch_normalization_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_batch_normalization_layer_visitor.html">armnn::TestBatchNormalizationLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00125">ConstTensorLayerVisitor.hpp:125</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">armnn::LstmInputParams::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00047">LstmParams.hpp:47</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input &amp; forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00867">Descriptors.hpp:867</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00170">ConstTensorLayerVisitor.cpp:170</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00610">Descriptors.hpp:610</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_convolution2d_layer_visitor_html_ac8b078bb166c52b45f04cae3e74557ad"><div class="ttname"><a href="classarmnn_1_1_test_convolution2d_layer_visitor.html#ac8b078bb166c52b45f04cae3e74557ad">armnn::TestConvolution2dLayerVisitor::CheckDescriptor</a></div><div class="ttdeci">void CheckDescriptor(const Convolution2dDescriptor &amp;convolution2dDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00014">ConstTensorLayerVisitor.cpp:14</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">armnn::QuantizedLstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00039">QuantizedLstmParams.hpp:39</a></div></div>
+<div class="ttc" id="_network_8hpp_html"><div class="ttname"><a href="_network_8hpp.html">Network.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html">armnn::LstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00013">LstmParams.hpp:13</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html">armnn::QuantizedLstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00013">QuantizedLstmParams.hpp:13</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00428">Descriptors.hpp:428</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00492">Descriptors.hpp:492</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00478">Descriptors.hpp:478</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00386">Descriptors.hpp:386</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00432">Descriptors.hpp:432</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">armnn::QuantizedLstmInputParams::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00041">QuantizedLstmParams.hpp:41</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_lstm_layer_visitor_html_a7607350d75bcb2ac402bba7494585f33"><div class="ttname"><a href="classarmnn_1_1_test_lstm_layer_visitor.html#a7607350d75bcb2ac402bba7494585f33">armnn::TestLstmLayerVisitor::CheckInputParameters</a></div><div class="ttdeci">void CheckInputParameters(const LstmInputParams &amp;inputParams)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00079">ConstTensorLayerVisitor.cpp:79</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">armnn::QuantizedLstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00034">QuantizedLstmParams.hpp:34</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00426">Descriptors.hpp:426</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00422">Descriptors.hpp:422</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">armnn::LstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00053">LstmParams.hpp:53</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_ab1569dbf88b6511bde91bee3224a558c"><div class="ttname"><a href="classarmnn_1_1_network.html#ab1569dbf88b6511bde91bee3224a558c">armnn::Network::AddLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddLstmLayer(const LstmDescriptor &amp;descriptor, const LstmInputParams &amp;params, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01312">Network.cpp:1312</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00869">Descriptors.hpp:869</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">armnn::LstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00054">LstmParams.hpp:54</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html"><div class="ttname"><a href="classarmnn_1_1_network.html">armnn::Network</a></div><div class="ttdoc">Private implementation of INetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00027">Network.hpp:27</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">armnn::LstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00042">LstmParams.hpp:42</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00430">Descriptors.hpp:430</a></div></div>
+<div class="ttc" id="_const_tensor_layer_visitor_8hpp_html"><div class="ttname"><a href="_const_tensor_layer_visitor_8hpp.html">ConstTensorLayerVisitor.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">armnn::LstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00046">LstmParams.hpp:46</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_ab03e6e1514f74427916c892f473fe04c"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">armnn::LstmInputParams::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensor * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00055">LstmParams.hpp:55</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00837">Descriptors.hpp:837</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">armnn::QuantizedLstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00040">QuantizedLstmParams.hpp:40</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html_a8c9198a992b02e61a6777329d487dde3"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a8c9198a992b02e61a6777329d487dde3">armnn::IConnectableLayer::Accept</a></div><div class="ttdeci">virtual void Accept(ILayerVisitor &amp;visitor) const =0</div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a484bafa2f8453a7c5a4a00b92a61b006"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">armnn::LstmInputParams::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00048">LstmParams.hpp:48</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_lstm_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_lstm_layer_visitor.html">armnn::TestLstmLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00192">ConstTensorLayerVisitor.hpp:192</a></div></div>
+<div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00373">Descriptors.hpp:373</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_a6a6657fdd77cabea7a9e0a740635735e"><div class="ttname"><a href="classarmnn_1_1_network.html#a6a6657fdd77cabea7a9e0a740635735e">armnn::Network::AddQuantizedLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizedLstmLayer(const QuantizedLstmInputParams &amp;params, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01542">Network.cpp:1542</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00388">Descriptors.hpp:388</a></div></div>
+<div class="ttc" id="structarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_a865189c08aa64d448d05efc92a43725a"><div class="ttname"><a href="classarmnn_1_1_network.html#a865189c08aa64d448d05efc92a43725a">armnn::Network::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &amp;convolution2dDescriptor, const ConstTensor &amp;weights, const Optional&lt; ConstTensor &gt; &amp;biases, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01051">Network.cpp:1051</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00623">Descriptors.hpp:623</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_quantized_lstm_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html">armnn::TestQuantizedLstmLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00225">ConstTensorLayerVisitor.hpp:225</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">armnn::LstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00045">LstmParams.hpp:45</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor_html_a8498083056c114343a16c556beea6057"><div class="ttname"><a href="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor.html#a8498083056c114343a16c556beea6057">armnn::TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor</a></div><div class="ttdeci">void CheckDescriptor(const DepthwiseConvolution2dDescriptor &amp;convolution2dDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00026">ConstTensorLayerVisitor.cpp:26</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">armnn::QuantizedLstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00043">QuantizedLstmParams.hpp:43</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_layer_visitor_html_ab49c9a185af94e39ae9cd81aa8ec926c"><div class="ttname"><a href="classarmnn_1_1_test_layer_visitor.html#ab49c9a185af94e39ae9cd81aa8ec926c">armnn::TestLayerVisitor::CheckConstTensors</a></div><div class="ttdeci">void CheckConstTensors(const ConstTensor &amp;expected, const ConstTensor &amp;actual)</div><div class="ttdef"><b>Definition:</b> <a href="_test_layer_visitor_8cpp_source.html#l00033">TestLayerVisitor.cpp:33</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00438">Descriptors.hpp:438</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_quantized_lstm_layer_visitor_html_ac45b7720c3156ab1004a904da7d42b44"><div class="ttname"><a href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac45b7720c3156ab1004a904da7d42b44">armnn::TestQuantizedLstmLayerVisitor::CheckConstTensorPtrs</a></div><div class="ttdeci">void CheckConstTensorPtrs(const std::string &amp;name, const ConstTensor *expected, const ConstTensor *actual)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00110">ConstTensorLayerVisitor.cpp:110</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_constant_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_constant_layer_visitor.html">armnn::TestConstantLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00170">ConstTensorLayerVisitor.hpp:170</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_convolution2d_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_convolution2d_layer_visitor.html">armnn::TestConvolution2dLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00015">ConstTensorLayerVisitor.hpp:15</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">armnn::LstmInputParams::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00044">LstmParams.hpp:44</a></div></div>
+<div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">armnn::QuantizedLstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00033">QuantizedLstmParams.hpp:33</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::LstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00052">LstmParams.hpp:52</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">armnn::LstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00051">LstmParams.hpp:51</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::QuantizedLstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00036">QuantizedLstmParams.hpp:36</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00490">Descriptors.hpp:490</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">armnn::QuantizedLstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00046">QuantizedLstmParams.hpp:46</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_lstm_layer_visitor_html_a7f36acbe9f04ed87e4bc8529f7ec0391"><div class="ttname"><a href="classarmnn_1_1_test_lstm_layer_visitor.html#a7f36acbe9f04ed87e4bc8529f7ec0391">armnn::TestLstmLayerVisitor::CheckDescriptor</a></div><div class="ttdeci">void CheckDescriptor(const LstmDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00051">ConstTensorLayerVisitor.cpp:51</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_quantized_lstm_layer_visitor_html_ac6627007bd7a0b3a00cc690307840039"><div class="ttname"><a href="classarmnn_1_1_test_quantized_lstm_layer_visitor.html#ac6627007bd7a0b3a00cc690307840039">armnn::TestQuantizedLstmLayerVisitor::CheckInputParameters</a></div><div class="ttdeci">void CheckInputParameters(const QuantizedLstmInputParams &amp;inputParams)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00128">ConstTensorLayerVisitor.cpp:128</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_a1add5219a64f4249a282f52202828451"><div class="ttname"><a href="classarmnn_1_1_network.html#a1add5219a64f4249a282f52202828451">armnn::Network::AddDepthwiseConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &amp;convolution2dDescriptor, const ConstTensor &amp;weights, const Optional&lt; ConstTensor &gt; &amp;biases, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01105">Network.cpp:1105</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00061">INetwork.hpp:61</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">armnn::LstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00040">LstmParams.hpp:40</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_a44b0e6b16708df7f0d2bbab141688aaa"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">armnn::LstmInputParams::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensor * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00056">LstmParams.hpp:56</a></div></div>
+<div class="ttc" id="_output_shape_of_squeeze_8cpp_html_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ae1b07ed928036004bd257169e5aeeef4">armnn::LstmDescriptor::m_ActivationFunc</a></div><div class="ttdeci">uint32_t m_ActivationFunc</div><div class="ttdoc">The activation function to use. 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00861">Descriptors.hpp:861</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_a80dc86e975ff991ef63aa8b523d4fcdf"><div class="ttname"><a href="classarmnn_1_1_network.html#a80dc86e975ff991ef63aa8b523d4fcdf">armnn::Network::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &amp;fullyConnectedDescriptor, const ConstTensor &amp;weights, const Optional&lt; ConstTensor &gt; &amp;biases, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00998">Network.cpp:998</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_html_afe204ca375b74e9a72640c9227918d0a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">armnn::LstmInputParams::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00050">LstmParams.hpp:50</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00444">Descriptors.hpp:444</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00392">Descriptors.hpp:392</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_fully_connected_layer_vistor_html"><div class="ttname"><a href="classarmnn_1_1_test_fully_connected_layer_vistor.html">armnn::TestFullyConnectedLayerVistor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00089">ConstTensorLayerVisitor.hpp:89</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00625">Descriptors.hpp:625</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00865">Descriptors.hpp:865</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00484">Descriptors.hpp:484</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_a8b2e7eb34ad5aacda72260f77fd880ce"><div class="ttname"><a href="classarmnn_1_1_network.html#a8b2e7eb34ad5aacda72260f77fd880ce">armnn::Network::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &amp;input, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01280">Network.cpp:1280</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_fully_connected_layer_vistor_html_ae48eafaa6a4bc4b7bde0a8824797c350"><div class="ttname"><a href="classarmnn_1_1_test_fully_connected_layer_vistor.html#ae48eafaa6a4bc4b7bde0a8824797c350">armnn::TestFullyConnectedLayerVistor::CheckDescriptor</a></div><div class="ttdeci">void CheckDescriptor(const FullyConnectedDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00039">ConstTensorLayerVisitor.cpp:39</a></div></div>
+<div class="ttc" id="classarmnn_1_1_network_html_abd4965a5d1d28a91b975e6b0eef024c8"><div class="ttname"><a href="classarmnn_1_1_network.html#abd4965a5d1d28a91b975e6b0eef024c8">armnn::Network::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &amp;desc, const ConstTensor &amp;mean, const ConstTensor &amp;variance, const ConstTensor &amp;beta, const ConstTensor &amp;gamma, const char *name=nullptr) override</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01227">Network.cpp:1227</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_html_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::QuantizedLstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00044">QuantizedLstmParams.hpp:44</a></div></div>
+<div class="ttc" id="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_test_depthwise_convolution2d_layer_visitor.html">armnn::TestDepthwiseConvolution2dLayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8hpp_source.html#l00052">ConstTensorLayerVisitor.hpp:52</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
+<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00476">Descriptors.hpp:476</a></div></div>
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