Documentation/_quantized_lstm_layer_8hpp_source.xhtml

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  98 <div class="title">QuantizedLstmLayer.hpp</div>  </div>
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 101 <a href="_quantized_lstm_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>&gt;</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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="keyword">class </span>ScopedCpuTensorHandle;</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="structarmnn_1_1_quantized_lstm_parameters.xhtml">   14</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{<span class="comment"></span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">   17</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">m_InputToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">   19</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">m_InputToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">   21</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">m_InputToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">   23</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">m_InputToOutputWeights</a>;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">   26</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">m_RecurrentToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">   28</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">   30</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">m_RecurrentToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment">    /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a91dda74af4085ae43913746ad817795a">   32</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a91dda74af4085ae43913746ad817795a">m_RecurrentToOutputWeights</a>;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">    /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">   35</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">m_InputGateBias</a>;<span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment">    /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">   37</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">m_ForgetGateBias</a>;<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">    /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">   39</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">m_CellBias</a>;<span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">    /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">   41</a></span>&#160;<span class="comment"></span>    std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">m_OutputGateBias</a>;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;};</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="comment">/// This layer represents a QuantizedLstm operation.</span></div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml">   45</a></span>&#160;<span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">   49</a></span>&#160;    <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="comment">    /// Makes a workload for the QuantizedLstm type.</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="comment">    /// @param [in] graph The graph where this layer can be found.</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="comment">    /// @param [in] factory The workload factory which will create the workload.</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="comment">    /// @return A pointer to the created workload, or nullptr if not created.</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="comment"></span>    <span class="keyword">virtual</span> std::unique_ptr&lt;IWorkload&gt; <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>&amp; factory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="comment">    /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="comment">    /// @param [in] graph The graph into which this layer is being cloned.</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="comment"></span>    <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>* Clone(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>&amp; graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="comment">    /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="comment">    /// will lead to a valid configuration of @ref QuantizedLstmLayer.</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="comment"></span>    <span class="keywordtype">void</span> ValidateTensorShapesFromInputs() <span class="keyword">override</span>;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="comment">    /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="comment">    /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="comment">    /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="comment">    /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="comment"></span>    std::vector&lt;TensorShape&gt; InferOutputShapes(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes) <span class="keyword">const override</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;    <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>&amp; visitor) <span class="keyword">const override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="comment">    /// Constructor to create a QuantizedLstmLayer.</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="comment">    /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="comment"></span>    <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="comment">    /// Default destructor</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="comment"></span>    ~<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="comment">    /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="comment">    /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="comment"></span>    <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">Layer::ConstantTensors</a> GetConstantTensorsByRef() <span class="keyword">override</span>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;};</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a6e8971757790a032e5936da7847ba14b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">armnn::QuantizedLstmParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00026">QuantizedLstmLayer.hpp:26</a></div></div>
 102 <div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">armnn::QuantizedLstmLayer::m_QuantizedLstmParameters</a></div><div class="ttdeci">QuantizedLstmParameters m_QuantizedLstmParameters</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00049">QuantizedLstmLayer.hpp:49</a></div></div>
 103 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a5a0d8af26a6aad1e5be521ea7dc550eb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">armnn::QuantizedLstmParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00019">QuantizedLstmLayer.hpp:19</a></div></div>
 104 <div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr&lt; armnn::IWorkload &gt; CreateWorkload(const armnn::IWorkloadFactory &amp;workloadFactory, const armnn::WorkloadInfo &amp;info, const DescriptorType &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div>
 105 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a91dda74af4085ae43913746ad817795a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a91dda74af4085ae43913746ad817795a">armnn::QuantizedLstmParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00032">QuantizedLstmLayer.hpp:32</a></div></div>
 106 <div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
 107 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a4d731c5e73638c7cf7e63f65e9f8b550"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00017">QuantizedLstmLayer.hpp:17</a></div></div>
 108 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a3d5f129421bbe6479a66d4ed1356bf68"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">armnn::QuantizedLstmParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00028">QuantizedLstmLayer.hpp:28</a></div></div>
 109 <div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
 110 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml">armnn::QuantizedLstmParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00014">QuantizedLstmLayer.hpp:14</a></div></div>
 111 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a9945bc99f8a7400c0724117e29cb3abb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00035">QuantizedLstmLayer.hpp:35</a></div></div>
 112 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a51255889cbc063130a3d691c1781c5d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00039">QuantizedLstmLayer.hpp:39</a></div></div>
 113 <div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00045">QuantizedLstmLayer.hpp:45</a></div></div>
 114 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a0e0e17d5b494993407cb75d614455ddd"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00037">QuantizedLstmLayer.hpp:37</a></div></div>
 115 <div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
 116 <div class="ttc" id="namespacearmnn_utils_1_1_sockets_xhtml_ae7d45c832d3f9a398a08352442d20417"><div class="ttname"><a href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">armnnUtils::Sockets::Accept</a></div><div class="ttdeci">armnnUtils::Sockets::Socket Accept(Socket s, sockaddr *addr, socklen_t *addrlen, int flags)</div><div class="ttdef"><b>Definition:</b> <a href="_network_sockets_8cpp_source.xhtml#l00091">NetworkSockets.cpp:91</a></div></div>
 117 <div class="ttc" id="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div>
 118 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_aacb55e0992b6781a7bd3225ab6e6bb2f"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00041">QuantizedLstmLayer.hpp:41</a></div></div>
 119 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a14ab2bc78421c417c4f97a65b0bd78f9"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">armnn::QuantizedLstmParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00021">QuantizedLstmLayer.hpp:21</a></div></div>
 120 <div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</a></div></div>
 121 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_ae8d897b8d282f25a6eb784c4aaa98df6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">armnn::QuantizedLstmParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00023">QuantizedLstmLayer.hpp:23</a></div></div>
 122 <div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; std::unique_ptr&lt; ScopedCpuTensorHandle &gt; &gt;&gt; ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div>
 123 <div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a6e8c3db3c5474f0760553ff93fbc39e6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">armnn::QuantizedLstmParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00030">QuantizedLstmLayer.hpp:30</a></div></div>
 124 <div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div>
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