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<a href="_quantized_lstm_layer_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.html">Layer.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedCpuTensorHandle;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html">QuantizedLstmParameters</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a4d731c5e73638c7cf7e63f65e9f8b550"> 17</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a4d731c5e73638c7cf7e63f65e9f8b550">m_InputToInputWeights</a>;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a5a0d8af26a6aad1e5be521ea7dc550eb"> 19</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a5a0d8af26a6aad1e5be521ea7dc550eb">m_InputToForgetWeights</a>;</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a14ab2bc78421c417c4f97a65b0bd78f9"> 21</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a14ab2bc78421c417c4f97a65b0bd78f9">m_InputToCellWeights</a>;</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#ae8d897b8d282f25a6eb784c4aaa98df6"> 23</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ae8d897b8d282f25a6eb784c4aaa98df6">m_InputToOutputWeights</a>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8971757790a032e5936da7847ba14b"> 26</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8971757790a032e5936da7847ba14b">m_RecurrentToInputWeights</a>;</div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d5f129421bbe6479a66d4ed1356bf68"> 28</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d5f129421bbe6479a66d4ed1356bf68">m_RecurrentToForgetWeights</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8c3db3c5474f0760553ff93fbc39e6"> 30</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8c3db3c5474f0760553ff93fbc39e6">m_RecurrentToCellWeights</a>;</div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a91dda74af4085ae43913746ad817795a"> 32</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a91dda74af4085ae43913746ad817795a">m_RecurrentToOutputWeights</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a9945bc99f8a7400c0724117e29cb3abb"> 35</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a9945bc99f8a7400c0724117e29cb3abb">m_InputGateBias</a>;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a0e0e17d5b494993407cb75d614455ddd"> 37</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a0e0e17d5b494993407cb75d614455ddd">m_ForgetGateBias</a>;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#a51255889cbc063130a3d691c1781c5d3"> 39</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a51255889cbc063130a3d691c1781c5d3">m_CellBias</a>;</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.html#aacb55e0992b6781a7bd3225ab6e6bb2f"> 41</a></span>  std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aacb55e0992b6781a7bd3225ab6e6bb2f">m_OutputGateBias</a>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> };</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html"> 45</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468"> 49</a></span>  <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html">QuantizedLstmParameters</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="_elementwise_test_impl_8hpp.html#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a>* Clone(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</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> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::vector<TensorShape> InferOutputShapes(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils_1_1_sockets.html#ae7d45c832d3f9a398a08352442d20417">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.html">ILayerVisitor</a>& visitor) <span class="keyword">const override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">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> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  ~<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">Layer::ConstantTensors</a> GetConstantTensorsByRef() <span class="keyword">override</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> };</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a0e0e17d5b494993407cb75d614455ddd"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a0e0e17d5b494993407cb75d614455ddd">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00037">QuantizedLstmLayer.hpp:37</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html">armnn::QuantizedLstmParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00014">QuantizedLstmLayer.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a9945bc99f8a7400c0724117e29cb3abb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a9945bc99f8a7400c0724117e29cb3abb">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00035">QuantizedLstmLayer.hpp:35</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a6e8c3db3c5474f0760553ff93fbc39e6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8c3db3c5474f0760553ff93fbc39e6">armnn::QuantizedLstmParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00030">QuantizedLstmLayer.hpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a91dda74af4085ae43913746ad817795a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a91dda74af4085ae43913746ad817795a">armnn::QuantizedLstmParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00032">QuantizedLstmLayer.hpp:32</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a6e8971757790a032e5936da7847ba14b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a6e8971757790a032e5936da7847ba14b">armnn::QuantizedLstmParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00026">QuantizedLstmLayer.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00356">Layer.hpp:356</a></div></div>
<div class="ttc" id="namespacearmnn_utils_1_1_sockets_html_ae7d45c832d3f9a398a08352442d20417"><div class="ttname"><a href="namespacearmnn_utils_1_1_sockets.html#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.html#l00091">NetworkSockets.cpp:91</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a4d731c5e73638c7cf7e63f65e9f8b550"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a4d731c5e73638c7cf7e63f65e9f8b550">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00017">QuantizedLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.html">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.html#l00016">ILayerVisitor.hpp:16</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_aacb55e0992b6781a7bd3225ab6e6bb2f"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#aacb55e0992b6781a7bd3225ab6e6bb2f">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00041">QuantizedLstmLayer.hpp:41</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a3d5f129421bbe6479a66d4ed1356bf68"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a3d5f129421bbe6479a66d4ed1356bf68">armnn::QuantizedLstmParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00028">QuantizedLstmLayer.hpp:28</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a14ab2bc78421c417c4f97a65b0bd78f9"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a14ab2bc78421c417c4f97a65b0bd78f9">armnn::QuantizedLstmParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00021">QuantizedLstmLayer.hpp:21</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="classarmnn_1_1_quantized_lstm_layer_html_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#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.html#l00049">QuantizedLstmLayer.hpp:49</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_ae8d897b8d282f25a6eb784c4aaa98df6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#ae8d897b8d282f25a6eb784c4aaa98df6">armnn::QuantizedLstmParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00023">QuantizedLstmLayer.hpp:23</a></div></div>
<div class="ttc" id="_elementwise_test_impl_8hpp_html_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.html#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.html#l00027">ElementwiseTestImpl.hpp:27</a></div></div>
<div class="ttc" id="_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a5a0d8af26a6aad1e5be521ea7dc550eb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a5a0d8af26a6aad1e5be521ea7dc550eb">armnn::QuantizedLstmParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00019">QuantizedLstmLayer.hpp:19</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_html_a51255889cbc063130a3d691c1781c5d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a51255889cbc063130a3d691c1781c5d3">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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.html#l00039">QuantizedLstmLayer.hpp:39</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html">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.html#l00045">QuantizedLstmLayer.hpp:45</a></div></div>
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