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| <div class="title">QuantizedLstmLayer.cpp</div> </div> |
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| <a href="_quantized_lstm_layer_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> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2019-2023 Arm Ltd and Contributors. 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">#include "<a class="code" href="_quantized_lstm_layer_8hpp.html">QuantizedLstmLayer.hpp</a>"</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_clone_base_8hpp.html">LayerCloneBase.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="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.html">armnn/QuantizedLstmParams.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>></span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> |
| <div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a"> 17</a></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a1e8a4f8777390120259787caa45d743a">QuantizedLstmLayer::QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : <a class="code" href="classarmnn_1_1_layer.html">Layer</a>(3, 2, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">QuantizedLstm</a>, name)</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  </div> |
| <div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 22</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizedLstmLayer::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</span></div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">QuantizedLstmQueueDescriptor</a> descriptor;</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment">// QuantizedLstmLayer parameters - there are no optional params</span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>.get();</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>.get();</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>.get();</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>.get();</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>.get();</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>.get();</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>.get();</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>.get();</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>.get();</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>.get();</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>.get();</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>.get();</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>, descriptor, <a class="code" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b"> 47</a></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">QuantizedLstmLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">auto</span> layer = CloneBase<QuantizedLstmLayer>(graph, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  layer->m_QuantizedLstmParameters.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> ?</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> ?</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> ?</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> ?</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> ?</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> ?</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  layer->m_QuantizedLstmParameters.m_InputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> ?</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> ?</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  layer->m_QuantizedLstmParameters.m_CellBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> ?</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> ?</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div> |
| <div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a"> 81</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 3);</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>  <span class="comment">// Get input values for validation</span></div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBatches = inputShapes[0][0];</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::vector<TensorShape> outShapes;</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numBatches, outputSize})); <span class="comment">// cellStateOut</span></div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numBatches, outputSize})); <span class="comment">// output</span></div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> outShapes;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> }</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966"> 96</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">QuantizedLstmLayer::ValidateTensorShapesFromInputs</a>()</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  </div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  </div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// input</span></div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// previousCellStateIn</span></div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() <span class="comment">// previousOutputIn</span></div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  });</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 2);</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  </div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Check weights and bias for nullptr</span></div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToInputWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToForgetWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToCellWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToOutputWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  </div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToInputWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToForgetWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToCellWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToOutputWeights should not be null."</span>);</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  </div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputGateBias should not be null."</span>);</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_ForgetGateBias should not be null."</span>);</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_CellBias should not be null."</span>);</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_OutputGateBias should not be null."</span>);</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  </div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Check output TensorShape(s) match inferred shape</span></div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QuantizedLstmLayer"</span>);</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  inferredShapes[1],</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">"QuantizedLstmLayer"</span>,</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  1);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div> |
| <div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d"> 151</a></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">QuantizedLstmLayer::GetConstantTensorsByRef</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span></div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a></div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  };</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span> }</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  </div> |
| <div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 173</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizedLstmLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  std::vector<ConstTensor> constTensors;</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  </div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  </div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedForgetGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedOutputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// InputToX weight tensors</span></div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  </div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  </div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  }</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  </div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// RecurrentToX weight tensors</span></div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  </div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  </div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  </div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Bias tensors</span></div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  {</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  </div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  </div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QuantizedLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00645">WorkloadData.hpp:645</a></div></div> |
| <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< ConstTensorHandle > 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_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00638">WorkloadData.hpp:638</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< ConstTensorHandle > 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="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00634">WorkloadData.hpp:634</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#l00096">QuantizedLstmLayer.cpp:96</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</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#l00151">QuantizedLstmLayer.cpp:151</a></div></div> |
| <div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</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 &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< ConstTensorHandle > 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="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00641">WorkloadData.hpp:641</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QuantizedLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00643">WorkloadData.hpp:643</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</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="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> |
| <div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</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< ConstTensorHandle > 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< ConstTensorHandle > 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< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> 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="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</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< ConstTensorHandle > 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="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00640">WorkloadData.hpp:640</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QuantizedLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00633">WorkloadData.hpp:633</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< ConstTensorHandle > 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="aclassarmnn_1_1_layer_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00409">Layer.hpp:409</a></div></div> |
| <div class="ttc" id="a_quantized_lstm_layer_8hpp_html"><div class="ttname"><a href="_quantized_lstm_layer_8hpp.html">QuantizedLstmLayer.hpp</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< ConstTensorHandle > 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="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00639">WorkloadData.hpp:639</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00196">TensorHandle.hpp:196</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00287">Layer.cpp:287</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QuantizedLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00635">WorkloadData.hpp:635</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="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00636">WorkloadData.hpp:636</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">armnn::QuantizedLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00614">WorkloadData.hpp:614</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="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></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< IWorkload > CreateWorkload(const IWorkloadFactory &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< TensorShape > InferOutputShapes(const std::vector< TensorShape > &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_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</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 &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#l00173">QuantizedLstmLayer.cpp:173</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_quantized_lstm_params_8hpp_html"><div class="ttname"><a href="_quantized_lstm_params_8hpp.html">QuantizedLstmParams.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< ConstTensorHandle > 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="aclassarmnn_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#l00329">Tensor.hpp:329</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</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< ConstTensorHandle > 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_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</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="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QuantizedLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00646">WorkloadData.hpp:646</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="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</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< ConstTensorHandle > 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< ConstTensorHandle > 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="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00239">TensorHandle.hpp:239</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QuantizedLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00644">WorkloadData.hpp:644</a></div></div> |
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