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Diffstat (limited to 'latest/classarmnn_1_1_q_lstm_layer.html')
| -rw-r--r-- | latest/classarmnn_1_1_q_lstm_layer.html | 724 |
1 files changed, 409 insertions, 315 deletions
diff --git a/latest/classarmnn_1_1_q_lstm_layer.html b/latest/classarmnn_1_1_q_lstm_layer.html index 4fb7f639ff..1cab8011b7 100644 --- a/latest/classarmnn_1_1_q_lstm_layer.html +++ b/latest/classarmnn_1_1_q_lstm_layer.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -622,7 +622,7 @@ Additional Inherited Members</h2></td></tr> <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00602">QLstmQueueDescriptor::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00608">QLstmQueueDescriptor::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00598">QLstmQueueDescriptor::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00597">QLstmQueueDescriptor::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00599">QLstmQueueDescriptor::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00601">QLstmQueueDescriptor::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00607">QLstmQueueDescriptor::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00600">QLstmQueueDescriptor::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00606">QLstmQueueDescriptor::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00591">QLstmQueueDescriptor::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00590">QLstmQueueDescriptor::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00589">QLstmQueueDescriptor::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00592">QLstmQueueDescriptor::m_InputToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01424">QLstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00603">QLstmQueueDescriptor::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00609">QLstmQueueDescriptor::m_OutputLayerNormWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< QLstmDescriptor >::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00605">QLstmQueueDescriptor::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00604">QLstmQueueDescriptor::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00595">QLstmQueueDescriptor::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00594">QLstmQueueDescriptor::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00593">QLstmQueueDescriptor::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00596">QLstmQueueDescriptor::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< QLstmDescriptor >::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, and <a class="el" href="_layer_8cpp_source.html#l00287">Layer::SetAdditionalInfo()</a>.</p> +<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00602">QLstmQueueDescriptor::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00608">QLstmQueueDescriptor::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00598">QLstmQueueDescriptor::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00597">QLstmQueueDescriptor::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00599">QLstmQueueDescriptor::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00601">QLstmQueueDescriptor::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00607">QLstmQueueDescriptor::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00600">QLstmQueueDescriptor::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00606">QLstmQueueDescriptor::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00591">QLstmQueueDescriptor::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00590">QLstmQueueDescriptor::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00589">QLstmQueueDescriptor::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00592">QLstmQueueDescriptor::m_InputToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01424">QLstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00603">QLstmQueueDescriptor::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00609">QLstmQueueDescriptor::m_OutputLayerNormWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< QLstmDescriptor >::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00605">QLstmQueueDescriptor::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00604">QLstmQueueDescriptor::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00595">QLstmQueueDescriptor::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00594">QLstmQueueDescriptor::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00593">QLstmQueueDescriptor::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00596">QLstmQueueDescriptor::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< QLstmDescriptor >::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p> </div> </div> @@ -654,159 +654,159 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">307</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> {</div> -<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  std::vector<ConstTensor> constTensors;</div> -<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  ManagedConstTensorHandle managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div> -<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  ManagedConstTensorHandle managedInputToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div> -<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  ManagedConstTensorHandle managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div> -<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  ManagedConstTensorHandle managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div> -<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  ManagedConstTensorHandle managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div> -<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  ManagedConstTensorHandle managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div> -<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  ManagedConstTensorHandle managedForgetGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div> -<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  ManagedConstTensorHandle managedCellBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div> -<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  ManagedConstTensorHandle managedOutputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div> -<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div> -<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// Cifg parameters</span></div> -<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  ManagedConstTensorHandle managedInputToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div> -<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  ManagedConstTensorHandle managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div> -<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  ManagedConstTensorHandle managedInputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div> -<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div> -<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// Projection parameters</span></div> -<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  ManagedConstTensorHandle managedProjectionWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>);</div> -<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  ManagedConstTensorHandle managedProjectionBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>);</div> -<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  </div> -<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">// Peephole parameters</span></div> -<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  ManagedConstTensorHandle managedCellToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>);</div> -<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  ManagedConstTensorHandle managedCellToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>);</div> -<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  ManagedConstTensorHandle managedCellToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>);</div> -<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  </div> -<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Layer normalisation parameters</span></div> -<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  ManagedConstTensorHandle managedInputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>);</div> -<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  ManagedConstTensorHandle managedForgetLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>);</div> -<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  ManagedConstTensorHandle managedCellLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>);</div> -<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  ManagedConstTensorHandle managedOutputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>);</div> -<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  </div> -<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="comment">// First add mandatory/basic parameters</span></div> -<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div> -<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  constTensors.emplace_back(ConstTensor(managedInputToForgetWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  managedInputToForgetWeights.Map()));</div> -<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div> -<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  {</div> -<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  constTensors.emplace_back(ConstTensor(managedInputToCellWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  managedInputToCellWeights.Map()));</div> -<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div> -<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div> -<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  constTensors.emplace_back(ConstTensor(managedInputToOutputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  managedInputToOutputWeights.Map()));</div> -<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div> -<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div> -<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  constTensors.emplace_back(ConstTensor(</div> -<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  managedRecurrentToForgetWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  managedRecurrentToForgetWeights.Map()));</div> -<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div> -<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div> -<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  constTensors.emplace_back(ConstTensor(</div> -<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  managedRecurrentToCellWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  managedRecurrentToCellWeights.Map()));</div> -<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div> -<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div> -<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  constTensors.emplace_back(ConstTensor(</div> -<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  managedRecurrentToOutputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  managedRecurrentToOutputWeights.Map()));</div> -<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</div> -<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div> -<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  constTensors.emplace_back(ConstTensor(managedForgetGateBias.GetTensorInfo(),</div> -<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  managedForgetGateBias.Map()));</div> -<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div> -<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div> -<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  constTensors.emplace_back(ConstTensor(managedCellBias.GetTensorInfo(),</div> -<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  managedCellBias.Map()));</div> -<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div> -<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div> -<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  constTensors.emplace_back(ConstTensor(managedOutputGateBias.GetTensorInfo(),</div> -<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  managedOutputGateBias.Map()));</div> -<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  }</div> -<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div> -<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="comment">// Add cifig parameters</span></div> -<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div> -<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  constTensors.emplace_back(ConstTensor(managedInputToInputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  managedInputToInputWeights.Map()));</div> -<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div> -<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div> -<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  constTensors.emplace_back(ConstTensor(</div> -<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  managedRecurrentToInputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  managedRecurrentToInputWeights.Map()));</div> -<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div> -<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div> -<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  constTensors.emplace_back(ConstTensor(managedInputGateBias.GetTensorInfo(),</div> -<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  managedInputGateBias.Map()));</div> -<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div> -<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  </div> -<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Add peephole parameters</span></div> -<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div> -<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  constTensors.emplace_back(ConstTensor(managedCellToInputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  managedCellToInputWeights.Map()));</div> -<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div> -<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  {</div> -<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  constTensors.emplace_back(ConstTensor(managedCellToForgetWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  managedCellToForgetWeights.Map()));</div> -<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div> -<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div> -<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  constTensors.emplace_back(ConstTensor(managedCellToOutputWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  managedCellToOutputWeights.Map()));</div> -<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div> +<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">403</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> {</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  std::vector<ConstTensor> constTensors;</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  ManagedConstTensorHandle managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  ManagedConstTensorHandle managedInputToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  ManagedConstTensorHandle managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div> +<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  ManagedConstTensorHandle managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div> +<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  ManagedConstTensorHandle managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  ManagedConstTensorHandle managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  ManagedConstTensorHandle managedForgetGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  ManagedConstTensorHandle managedCellBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  ManagedConstTensorHandle managedOutputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  </div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="comment">// Cifg parameters</span></div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  ManagedConstTensorHandle managedInputToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  ManagedConstTensorHandle managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  ManagedConstTensorHandle managedInputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  </div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// Projection parameters</span></div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  ManagedConstTensorHandle managedProjectionWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>);</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  ManagedConstTensorHandle managedProjectionBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>);</div> <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  </div> -<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Add projection parameters</span></div> -<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  {</div> -<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  constTensors.emplace_back(ConstTensor(managedProjectionWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  managedProjectionWeights.Map()));</div> -<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div> -<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  {</div> -<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  constTensors.emplace_back(ConstTensor(managedProjectionBias.GetTensorInfo(),</div> -<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  managedProjectionBias.Map()));</div> -<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div> -<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  </div> -<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="comment">// Add norm parameters</span></div> -<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div> -<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  constTensors.emplace_back(ConstTensor(managedInputLayerNormWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  managedInputLayerNormWeights.Map()));</div> -<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  }</div> -<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div> -<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  constTensors.emplace_back(ConstTensor(managedForgetLayerNormWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  managedForgetLayerNormWeights.Map()));</div> -<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div> -<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div> -<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  constTensors.emplace_back(ConstTensor(managedCellLayerNormWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  managedCellLayerNormWeights.Map()));</div> -<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div> -<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> -<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div> -<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  constTensors.emplace_back(ConstTensor(managedOutputLayerNormWeights.GetTensorInfo(),</div> -<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  managedOutputLayerNormWeights.Map()));</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Peephole parameters</span></div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  ManagedConstTensorHandle managedCellToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>);</div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  ManagedConstTensorHandle managedCellToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>);</div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  ManagedConstTensorHandle managedCellToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>);</div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  </div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// Layer normalisation parameters</span></div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  ManagedConstTensorHandle managedInputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>);</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  ManagedConstTensorHandle managedForgetLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>);</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  ManagedConstTensorHandle managedCellLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>);</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  ManagedConstTensorHandle managedOutputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>);</div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// First add mandatory/basic parameters</span></div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  constTensors.emplace_back(ConstTensor(managedInputToForgetWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  managedInputToForgetWeights.Map()));</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  }</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  {</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  constTensors.emplace_back(ConstTensor(managedInputToCellWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  managedInputToCellWeights.Map()));</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  {</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  constTensors.emplace_back(ConstTensor(managedInputToOutputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  managedInputToOutputWeights.Map()));</div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  {</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  constTensors.emplace_back(ConstTensor(</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  managedRecurrentToForgetWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  managedRecurrentToForgetWeights.Map()));</div> <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  }</div> -<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> -<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  constTensors.emplace_back(ConstTensor(</div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  managedRecurrentToCellWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  managedRecurrentToCellWeights.Map()));</div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  {</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  constTensors.emplace_back(ConstTensor(</div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  managedRecurrentToOutputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  managedRecurrentToOutputWeights.Map()));</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  }</div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  {</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  constTensors.emplace_back(ConstTensor(managedForgetGateBias.GetTensorInfo(),</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  managedForgetGateBias.Map()));</div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  }</div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  {</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  constTensors.emplace_back(ConstTensor(managedCellBias.GetTensorInfo(),</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  managedCellBias.Map()));</div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div> +<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  constTensors.emplace_back(ConstTensor(managedOutputGateBias.GetTensorInfo(),</div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  managedOutputGateBias.Map()));</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div> +<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  </div> +<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="comment">// Add cifig parameters</span></div> +<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  {</div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  constTensors.emplace_back(ConstTensor(managedInputToInputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  managedInputToInputWeights.Map()));</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  constTensors.emplace_back(ConstTensor(</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  managedRecurrentToInputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  managedRecurrentToInputWeights.Map()));</div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  {</div> +<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  constTensors.emplace_back(ConstTensor(managedInputGateBias.GetTensorInfo(),</div> +<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  managedInputGateBias.Map()));</div> +<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  </div> +<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="comment">// Add peephole parameters</span></div> +<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  {</div> +<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  constTensors.emplace_back(ConstTensor(managedCellToInputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  managedCellToInputWeights.Map()));</div> +<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div> +<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div> +<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  constTensors.emplace_back(ConstTensor(managedCellToForgetWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  managedCellToForgetWeights.Map()));</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  constTensors.emplace_back(ConstTensor(managedCellToOutputWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  managedCellToOutputWeights.Map()));</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div> +<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  </div> +<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="comment">// Add projection parameters</span></div> +<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  constTensors.emplace_back(ConstTensor(managedProjectionWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  managedProjectionWeights.Map()));</div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  }</div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  {</div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  constTensors.emplace_back(ConstTensor(managedProjectionBias.GetTensorInfo(),</div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  managedProjectionBias.Map()));</div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// Add norm parameters</span></div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  constTensors.emplace_back(ConstTensor(managedInputLayerNormWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  managedInputLayerNormWeights.Map()));</div> +<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div> +<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  constTensors.emplace_back(ConstTensor(managedForgetLayerNormWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  managedForgetLayerNormWeights.Map()));</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div> +<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  constTensors.emplace_back(ConstTensor(managedCellLayerNormWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  managedCellLayerNormWeights.Map()));</div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  }</div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  constTensors.emplace_back(ConstTensor(managedOutputLayerNormWeights.GetTensorInfo(),</div> +<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  managedOutputLayerNormWeights.Map()));</div> +<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div> +<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< QLstmDescriptor >::GetParameters()</a>, <a class="el" href="_tensor_handle_8hpp_source.html#l00239">ManagedConstTensorHandle::GetTensorInfo()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, and <a class="el" href="_tensor_handle_8hpp_source.html#l00196">ManagedConstTensorHandle::Map()</a>.</p> @@ -840,39 +840,39 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">272</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> -<div class="fragment"><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>  <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="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div> -<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div> -<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div> -<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div> -<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div> -<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div> -<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div> -<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div> -<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>,</div> -<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div> -<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// Cifg parameters</span></div> -<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div> -<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div> -<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div> -<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  </div> -<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="comment">// Projection parameters</span></div> -<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>,</div> -<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>,</div> -<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  </div> -<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="comment">// Peephole parameters</span></div> -<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>,</div> -<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>,</div> -<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>,</div> -<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  </div> -<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="comment">// Layer normalisation parameters</span></div> -<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>,</div> -<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>,</div> -<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>,</div> -<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>};</div> -<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> }</div> +<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">368</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> {</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</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="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div> +<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div> +<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>,</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="comment">// Cifg parameters</span></div> +<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div> +<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  </div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// Projection parameters</span></div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>,</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>,</div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="comment">// Peephole parameters</span></div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>,</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>,</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>,</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// Layer normalisation parameters</span></div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>,</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>,</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>,</div> +<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>};</div> +<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, and <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>.</p> @@ -915,24 +915,26 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00153">153</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> <div class="fragment"><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div> -<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 3);</div> -<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div> -<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="comment">// Get input values for validation</span></div> -<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = inputShapes[0][0];</div> -<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div> -<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numUnits = inputShapes[2][1];</div> -<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  </div> -<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  std::vector<TensorShape> outShapes;</div> -<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// outputStateOut</span></div> -<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  outShapes.push_back(TensorShape({ batchSize, numUnits })); <span class="comment">// cellStateOut</span></div> -<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// output</span></div> -<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  </div> -<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> outShapes;</div> -<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span> (inputShapes.size() != 3)</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="stringliteral">"\" - should be \"3\"."</span>);</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</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>  <span class="comment">// Get input values for validation</span></div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = inputShapes[0][0];</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numUnits = inputShapes[2][1];</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>  std::vector<TensorShape> outShapes;</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// outputStateOut</span></div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  outShapes.push_back(TensorShape({ batchSize, numUnits })); <span class="comment">// cellStateOut</span></div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// output</span></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>  <span class="keywordflow">return</span> outShapes;</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>.</p> - -<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -969,109 +971,201 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">170</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> -<div class="fragment"><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>  <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="l00173"></a><span class="lineno"> 173</span>  </div> -<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> TensorShape& 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="l00175"></a><span class="lineno"> 175</span>  </div> -<div class="line"><a name="l00176"></a><span class="lineno"> 176</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> +<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">174</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> {</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</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="l00177"></a><span class="lineno"> 177</span>  </div> -<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> -<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div> -<div class="line"><a name="l00180"></a><span class="lineno"> 180</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="l00181"></a><span class="lineno"> 181</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">// previousOutputIn</span></div> -<div class="line"><a name="l00182"></a><span class="lineno"> 182</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">// previousCellStateIn</span></div> -<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  });</div> -<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  </div> -<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 3);</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>  <span class="comment">// Check if the weights are nullptr for basic params</span></div> -<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_InputToForgetWeights should not be null."</span>);</div> -<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_InputToCellWeights should not be null."</span>);</div> -<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_InputToOutputWeights should not be null."</span>);</div> -<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_RecurrentToForgetWeights should not be null."</span>);</div> -<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_RecurrentToCellWeights should not be null."</span>);</div> -<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_RecurrentToOutputWeights should not be null."</span>);</div> -<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_ForgetGateBias should not be null."</span>);</div> -<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_CellBias should not be null."</span>);</div> -<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="stringliteral">"QLstmLayer: m_BasicParameters.m_OutputGateBias should not be null."</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>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> -<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  {</div> -<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_InputToInputWeights should not be null."</span>);</div> -<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_RecurrentToInputWeights should not be null."</span>);</div> -<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_InputGateBias should not be null."</span>);</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>  <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">"QLstmLayer"</span>);</div> -<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div> -<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">else</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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_InputToInputWeights should not have a value when CIFG is enabled."</span>);</div> -<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_RecurrentToInputWeights should "</span></div> -<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="stringliteral">"not have a value when CIFG is enabled."</span>);</div> -<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> == <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="stringliteral">"QLstmLayer: m_CifgParameters.m_InputGateBias should not have a value when CIFG is enabled."</span>);</div> -<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  </div> -<div class="line"><a name="l00228"></a><span class="lineno"> 228</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">"QLstmLayer"</span>);</div> -<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</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>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> -<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div> -<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="stringliteral">"QLstmLayer: m_ProjectionParameters.m_ProjectionWeights should not be null."</span>);</div> -<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div> -<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div> -<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</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_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) {</div> -<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="stringliteral">"QLstmLayer: m_PeepholeParameters.m_CellToInputWeights should not be null "</span></div> -<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="stringliteral">"when Peephole is enabled and CIFG is disabled."</span>);</div> -<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> TensorShape& 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="l00179"></a><span class="lineno"> 179</span>  </div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</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="l00181"></a><span class="lineno"> 181</span>  </div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</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="l00185"></a><span class="lineno"> 185</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">// previousOutputIn</span></div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</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">// previousCellStateIn</span></div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  });</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 3)</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShapes has "</span></div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  + std::to_string(inferredShapes.size()) +</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="stringliteral">" element(s) - should only have 3."</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>  </div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// Check if the weights are nullptr for basic params</span></div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>)</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">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="stringliteral">"m_BasicParameters.m_InputToForgetWeights should not be null."</span>);</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  </div> +<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>)</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">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="stringliteral">"m_BasicParameters.m_InputToCellWeights should not be null."</span>);</div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div> +<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  </div> +<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>)</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">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="stringliteral">"m_BasicParameters.m_InputToOutputWeights should not be null."</span>);</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="stringliteral">"m_BasicParameters.m_RecurrentToForgetWeights should not be null."</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>  </div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>)</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="stringliteral">"m_BasicParameters.m_RecurrentToCellWeights should not be null."</span>);</div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</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>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>)</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="stringliteral">"m_BasicParameters.m_RecurrentToOutputWeights should not be null."</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>  </div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>)</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="stringliteral">"m_BasicParameters.m_ForgetGateBias should not be null."</span>);</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_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="stringliteral">"m_BasicParameters.m_CellBias should not be null."</span>);</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="stringliteral">"QLstmLayer: m_PeepholeParameters.m_CellToForgetWeights should not be null."</span>);</div> -<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="stringliteral">"QLstmLayer: m_PeepholeParameters.m_CellToOutputWeights should not be null."</span>);</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>)</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="stringliteral">"m_BasicParameters.m_OutputGateBias should not be null."</span>);</div> <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div> <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  </div> -<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div> -<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[1], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QLstmLayer"</span>, 1);</div> -<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div> -<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[2], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QLstmLayer"</span>, 2);</div> -<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  </div> -<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</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>  <span class="keywordflow">if</span>(!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> -<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div> -<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="stringliteral">"QLstmLayer: m_LayerNormParameters.m_InputLayerNormWeights should not be null."</span>);</div> -<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div> -<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="stringliteral">"QLstmLayer: m_LayerNormParameters.m_ForgetLayerNormWeights should not be null."</span>);</div> -<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="stringliteral">"QLstmLayer: m_LayerNormParameters.m_CellLayerNormWeights should not be null."</span>);</div> -<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> != <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="stringliteral">"QLstmLayer: m_LayerNormParameters.m_UutputLayerNormWeights should not be null."</span>);</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="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</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_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="stringliteral">"m_CifgParameters.m_InputToInputWeights should not be null."</span>);</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_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="stringliteral">"m_CifgParameters.m_RecurrentToInputWeights should not be null."</span>);</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_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="stringliteral">"m_CifgParameters.m_InputGateBias should not be null."</span>);</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>  <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">"QLstmLayer"</span>);</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">else</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="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="stringliteral">"m_CifgParameters.m_InputToInputWeights "</span></div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="stringliteral">"should not have a value when CIFG is enabled."</span>);</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  </div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="stringliteral">"m_CifgParameters.m_RecurrentToInputWeights "</span></div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="stringliteral">"should not have a value when CIFG is enabled."</span>);</div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  </div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  {</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="stringliteral">"m_CifgParameters.m_InputGateBias "</span></div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="stringliteral">"should not have a value when CIFG is enabled."</span>);</div> +<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  </div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</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">"QLstmLayer"</span>);</div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  }</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  </div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  {</div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>)</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="stringliteral">"m_ProjectionParameters.m_ProjectionWeights should not be null."</span>);</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  </div> +<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) {</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>)</div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="stringliteral">"m_PeepholeParameters.m_CellToInputWeights should not be null "</span></div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="stringliteral">"when Peephole is enabled and CIFG is disabled."</span>);</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>)</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="stringliteral">"m_PeepholeParameters.m_CellToForgetWeights should not be null."</span>);</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>)</div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="stringliteral">"m_PeepholeParameters.m_CellToOutputWeights should not be null."</span>);</div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  }</div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  </div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[1], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QLstmLayer"</span>, 1);</div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[2], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QLstmLayer"</span>, 2);</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  </div> +<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> +<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  {</div> +<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> +<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div> +<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>)</div> +<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: m_LayerNormParameters.m_InputLayerNormWeights "</span></div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="stringliteral">"should not be null."</span>);</div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  }</div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  </div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>)</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="stringliteral">"m_LayerNormParameters.m_ForgetLayerNormWeights should not be null."</span>);</div> +<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  }</div> +<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  </div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>)</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="stringliteral">"m_LayerNormParameters.m_CellLayerNormWeights should not be null."</span>);</div> +<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  }</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  </div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>)</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"QLstmLayer: "</span></div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="stringliteral">"m_LayerNormParameters.m_UutputLayerNormWeights should not be null."</span>);</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_assert_8hpp_source.html#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.html#l00033">armnn::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer::InferOutputShapes()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< QLstmDescriptor >::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00391">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p> +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.html#l00033">armnn::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer::InferOutputShapes()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< QLstmDescriptor >::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p> </div> </div> @@ -1090,7 +1184,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">83</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l02745">NetworkImpl::AddQLstmLayer()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l02758">NetworkImpl::AddQLstmLayer()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -1108,7 +1202,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">84</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -1126,7 +1220,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">87</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer::ExecuteStrategy()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer::GetConstantTensorsByRef()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>.</p> </div> </div> @@ -1144,7 +1238,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">86</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -1162,7 +1256,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">85</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -1172,32 +1266,32 @@ Additional Inherited Members</h2></td></tr> </ul> </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="aclassarmnn_1_1_q_lstm_layer_html_af53c478cc73821d29a83100b69de84c3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">armnn::QLstmLayer::m_CifgParameters</a></div><div class="ttdeci">QLstmOptCifgParameters m_CifgParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer.hpp:84</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a0ccce0cf0ae71e89b20dfa48645494c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">armnn::QLstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00051">QLstmLayer.hpp:51</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QLstmBasicParameters::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 [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00031">QLstmLayer.hpp:31</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01422">Descriptors.hpp:1422</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_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#l00100">Layer.cpp:100</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_af03d5f9789e673011a9fa19a699530db"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">armnn::QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00071">QLstmLayer.hpp:71</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="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_aeff3e3b8715c568fdff74a25ec40facb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">armnn::QLstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00053">QLstmLayer.hpp:53</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_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#l00457">Layer.cpp:457</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a9c441c2706cbd0e925c02cdcb8916669"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">armnn::QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00075">QLstmLayer.hpp:75</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="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_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="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< QLstmDescriptor >::GetParameters</a></div><div class="ttdeci">const QLstmDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa8f5cf5d5130fefb77d2327dca341591"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">armnn::QLstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00041">QLstmLayer.hpp:41</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_q_lstm_opt_layer_norm_parameters_html_a1f9668b1a4c275966aadeec9a4c11347"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">armnn::QLstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00073">QLstmLayer.hpp:73</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="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#l00614">Layer.cpp:614</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< QLstmDescriptor >::m_Param</a></div><div class="ttdeci">QLstmDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a9eb0e6bb91acbf59117a1460ce1dfd29"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">armnn::QLstmOptPeepholeParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00049">QLstmLayer.hpp:49</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< QLstmDescriptor >::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_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::QLstmOptCifgParameters::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 [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00061">QLstmLayer.hpp:61</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="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#l00526">Layer.cpp:526</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_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="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#l00303">Layer.cpp:303</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::QLstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00063">QLstmLayer.hpp:63</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a47786528c742271a3937535426934219"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">armnn::QLstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00069">QLstmLayer.hpp:69</a></div></div> <div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_ab43a687e3d705b3b0414d6fedb869e9d"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">armnn::QLstmLayer::m_LayerNormParameters</a></div><div class="ttdeci">QLstmOptLayerNormParameters m_LayerNormParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer.hpp:87</a></div></div> @@ -1211,7 +1305,7 @@ Additional Inherited Members</h2></td></tr> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QLstmOptCifgParameters::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 [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00059">QLstmLayer.hpp:59</a></div></div> <div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a3cbbd914f0d16664e785e30ffbe0dbf3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">armnn::QLstmLayer::m_ProjectionParameters</a></div><div class="ttdeci">QLstmOptProjectionParameters m_ProjectionParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer.hpp:85</a></div></div> <div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QLstmLayer::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="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer.cpp:153</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="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#l00410">Layer.cpp:410</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::QLstmBasicParameters::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 [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00024">QLstmLayer.hpp:24</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01424">Descriptors.hpp:1424</a></div></div> <div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa840abfe1cb869bce3d6daaebd2e86a7"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">armnn::QLstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00043">QLstmLayer.hpp:43</a></div></div> @@ -1227,7 +1321,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a></li> - <li class="footer">Generated on Wed Feb 14 2024 16:36:24 for Arm NN by + <li 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