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<div class="title">QuantizedLstmLayer.hpp</div> </div>
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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>&#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 and Contributors. 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.html">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.html">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>ScopedTensorHandle;</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.html"> 14</a></span>&#160;<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>&#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.html#a281954ff495d27f7a29e42a98768c670"> 17</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">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.html#aafad117fb253359c1d472c9faefe49ef"> 19</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">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.html#ad3f42762262330534a4be0dde29a1318"> 21</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">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.html#a3d4f6f42e10ba6f808a5244bb7853e7e"> 23</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">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.html#addfb6b081817510deb924c8fb5ce216c"> 26</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">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.html#a1dd41cd674924907643cb088070a65d3"> 28</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">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.html#a608ed1a3d4135921ce33a286a87a072b"> 30</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">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.html#addad136e04521a1d31cbebf7280c312e"> 32</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">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.html#a85684ffb2d12d0d04fbd188591488a2c"> 35</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">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.html#af7f44bcc5b6cf669268a9ac0ff1446be"> 37</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">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.html#a21a90800797f1e122bc44d7022001558"> 39</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">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.html#a950c538e326db48f4c26a354c2b982e3"> 41</a></span>&#160;<span class="comment"></span> std::shared_ptr&lt;ConstTensorHandle&gt; <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">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.html"> 45</a></span>&#160;<span class="comment"></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>&#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.html#ad3c37b52145c3cf1b4856c0df008a468"> 49</a></span>&#160; <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>&#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="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">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.html">QuantizedLstmLayer</a>* <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b">Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">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"> /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</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="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="comment"> /// @return A vector to the inferred output shape.</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="comment"></span> std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy) <span class="keyword">const override</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;<span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="comment"> /// Constructor to create a QuantizedLstmLayer.</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="comment"> /// @param [in] name Optional name for the layer.</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a">QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"> /// Default destructor</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a7bb743f4f47ed214a8dce7d0da26fdff">~QuantizedLstmLayer</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a>() <span class="keyword">const override</span>;</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; </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;} <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00017">QuantizedLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00039">QuantizedLstmLayer.hpp:39</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::QuantizedLstmLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of QuantizedLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00100">QuantizedLstmLayer.cpp:100</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::QuantizedLstmLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">Layer::ImmutableConstantTensors GetConstantTensorsByRef() const override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00217">QuantizedLstmLayer.cpp:217</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a08edea9423b6da5da174ce5269f6e28b"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b">armnn::QuantizedLstmLayer::Clone</a></div><div class="ttdeci">QuantizedLstmLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00047">QuantizedLstmLayer.cpp:47</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00041">QuantizedLstmLayer.hpp:41</a></div></div>
<div class="ttc" id="astructarmnn_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="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">armnn::QuantizedLstmParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00032">QuantizedLstmLayer.hpp:32</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::QuantizedLstmParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00019">QuantizedLstmLayer.hpp:19</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; const std::shared_ptr&lt; ConstTensorHandle &gt; &gt;&gt; ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">armnn::QuantizedLstmParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00021">QuantizedLstmLayer.hpp:21</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00037">QuantizedLstmLayer.hpp:37</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::QuantizedLstmParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00023">QuantizedLstmLayer.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_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>
<div class="ttc" id="aclassarmnn_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="aclassarmnn_1_1_quantized_lstm_layer_html_a7bb743f4f47ed214a8dce7d0da26fdff"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a7bb743f4f47ed214a8dce7d0da26fdff">armnn::QuantizedLstmLayer::~QuantizedLstmLayer</a></div><div class="ttdeci">~QuantizedLstmLayer()=default</div><div class="ttdoc">Default destructor.</div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::QuantizedLstmLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the QuantizedLstm type.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00022">QuantizedLstmLayer.cpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QuantizedLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00081">QuantizedLstmLayer.cpp:81</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::QuantizedLstmLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00239">QuantizedLstmLayer.cpp:239</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="a_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">armnn::QuantizedLstmParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00030">QuantizedLstmLayer.hpp:30</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00035">QuantizedLstmLayer.hpp:35</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_a1e8a4f8777390120259787caa45d743a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a">armnn::QuantizedLstmLayer::QuantizedLstmLayer</a></div><div class="ttdeci">QuantizedLstmLayer(const char *name)</div><div class="ttdoc">Constructor to create a QuantizedLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00017">QuantizedLstmLayer.cpp:17</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00030">Graph.hpp:30</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::QuantizedLstmParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00026">QuantizedLstmLayer.hpp:26</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::QuantizedLstmParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &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.html#l00028">QuantizedLstmLayer.hpp:28</a></div></div>
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