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| <div class="title">RefLstmWorkload.cpp</div> </div> |
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| <a href="_ref_lstm_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019,2021-2023 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_ref_lstm_workload_8hpp.html">RefLstmWorkload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_activation_8hpp.html">Activation.hpp</a>"</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>"</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_lstm_8hpp.html">Lstm.hpp</a>"</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_lstm_utils_8hpp.html">LstmUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> |
| <div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_lstm_workload.html#a236c28ffd299dcfa88d6c0260e69f000"> 17</a></span> <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#a236c28ffd299dcfa88d6c0260e69f000">RefLstmWorkload::RefLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html">LstmQueueDescriptor</a> &descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info)</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : <a class="code" href="classarmnn_1_1_ref_base_workload.html">RefBaseWorkload</a><<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html">LstmQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  , m_InputToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToInputWeights))</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  , m_InputToForgetWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToForgetWeights))</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  , m_InputToCellWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToCellWeights))</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  , m_InputToOutputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToOutputWeights))</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  , m_RecurrentToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToInputWeights))</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  , m_RecurrentToForgetWeightsTensor(<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToForgetWeights))</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  , m_RecurrentToCellWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToCellWeights))</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  , m_RecurrentToOutputWeightsTensor(<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToOutputWeights))</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  , m_CellToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToInputWeights))</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  , m_CellToForgetWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToForgetWeights))</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  , m_CellToOutputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToOutputWeights))</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  , m_InputGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputGateBias))</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  , m_ForgetGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ForgetGateBias))</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  , m_CellBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellBias))</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  , m_OutputGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_OutputGateBias))</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  , m_ProjectionWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ProjectionWeights))</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  , m_ProjectionBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ProjectionBias))</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  , m_InputLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputLayerNormWeights))</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  , m_ForgetLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ForgetLayerNormWeights))</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  , m_CellLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellLayerNormWeights))</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  , m_OutputLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_OutputLayerNormWeights))</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {}</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a"> 42</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 47</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefLstmWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  </div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload::Execute</a>(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefLstmWorkload_Execute"</span>);</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  </div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// This is a porting of the LSTM::Eval() method in the Android code base</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// Refer to: android/frameworks/ml/nn/common/operations/LSTM.cpp</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  std::unique_ptr<Encoder<float>> outputStateOut = MakeEncoder<float>(outputInfo, outputs[1]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::unique_ptr<Encoder<float>> cellStateOut = MakeEncoder<float>(outputInfo, outputs[2]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::unique_ptr<Encoder<float>> output = MakeEncoder<float>(outputInfo, outputs[3]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::unique_ptr<Decoder<float>> cellStateOutDecoder = MakeDecoder<float>(outputInfo, outputs[2]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  std::unique_ptr<Decoder<float>> outputDecoder = MakeDecoder<float>(outputInfo, outputs[3]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  std::unique_ptr<Decoder<float>> inputData = MakeDecoder<float>(inputInfo, inputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::unique_ptr<Decoder<float>> outputStateIn = MakeDecoder<float>(inputInfo, inputs[1]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::unique_ptr<Decoder<float>> cellStateIn = MakeDecoder<float>(inputInfo, inputs[2]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> uint32_t nBatch = inputShape[0];</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> uint32_t nCell = m_InputToOutputWeightsTensor->GetShape()[0];</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> useCifg = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> usePeephole = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> useLayerNorm = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Index the scratch buffers pointers to the global scratch buffer.</span></div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::unique_ptr<Encoder<float>> inputGateScratch = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::unique_ptr<Encoder<float>> cellScratch = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::unique_ptr<Encoder<float>> forgetGateScratch = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::unique_ptr<Encoder<float>> outputGateScratch = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::unique_ptr<Decoder<float>> inputGateScratchDecoder =</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  MakeDecoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::unique_ptr<Decoder<float>> cellScratchDecoder =</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  MakeDecoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::unique_ptr<Decoder<float>> forgetGateScratchDecoder =</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  MakeDecoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::unique_ptr<Decoder<float>> outputGateScratchDecoder =</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  MakeDecoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (useCifg)</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  *cellScratch += (0 * nCell * nBatch);</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  *forgetGateScratch += (1 * nCell * nBatch);</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  *outputGateScratch += (2 * nCell * nBatch);</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  </div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  *cellScratchDecoder += (0 * nCell * nBatch);</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  *forgetGateScratchDecoder += (1 * nCell * nBatch);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  *outputGateScratchDecoder += (2 * nCell * nBatch);</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  *inputGateScratch += (0 * nCell * nBatch);</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  *cellScratch += (1 * nCell * nBatch);</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  *forgetGateScratch += (2 * nCell * nBatch);</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  *outputGateScratch += (3 * nCell * nBatch);</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  *inputGateScratchDecoder += (0 * nCell * nBatch);</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  *cellScratchDecoder += (1 * nCell * nBatch);</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  *forgetGateScratchDecoder += (2 * nCell * nBatch);</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  *outputGateScratchDecoder += (3 * nCell * nBatch);</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::unique_ptr<Decoder<float>> inputToInputWeightsTensor;</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::unique_ptr<Decoder<float>> inputToForgetWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  m_InputToForgetWeightsTensor->GetTensorInfo(), m_InputToForgetWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::unique_ptr<Decoder<float>> inputToCellWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  m_InputToCellWeightsTensor->GetTensorInfo(), m_InputToCellWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  std::unique_ptr<Decoder<float>> inputToOutputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  m_InputToOutputWeightsTensor->GetTensorInfo(), m_InputToOutputWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  </div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::unique_ptr<Decoder<float>> recurrentToInputWeightsTensor;</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  std::unique_ptr<Decoder<float>> recurrentToForgetWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  m_RecurrentToForgetWeightsTensor->GetTensorInfo(), m_RecurrentToForgetWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::unique_ptr<Decoder<float>> recurrentToCellWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  m_RecurrentToCellWeightsTensor->GetTensorInfo(), m_RecurrentToCellWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  std::unique_ptr<Decoder<float>> recurrentToOutputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  m_RecurrentToOutputWeightsTensor->GetTensorInfo(), m_RecurrentToOutputWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  </div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  std::unique_ptr<Decoder<float>> inputGateBiasTensor;</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::unique_ptr<Decoder<float>> forgetGateBiasTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  m_ForgetGateBiasTensor->GetTensorInfo(), m_ForgetGateBiasTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::unique_ptr<Decoder<float>> cellBiasTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  m_CellBiasTensor->GetTensorInfo(), m_CellBiasTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::unique_ptr<Decoder<float>> outputGateBiasTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  m_OutputGateBiasTensor->GetTensorInfo(), m_OutputGateBiasTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::unique_ptr<Decoder<float>> cellToInputWeightsTensor;</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::unique_ptr<Decoder<float>> cellToForgetWeightsTensor;</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::unique_ptr<Decoder<float>> cellToOutputWeightsTensor;</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::unique_ptr<Decoder<float>> projectionWeightsTensor;</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::unique_ptr<Decoder<float>> projectionBiasTensor;</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  </div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::unique_ptr<Decoder<float>> inputLayerNormWeights;</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::unique_ptr<Decoder<float>> forgetLayerNormWeights;</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::unique_ptr<Decoder<float>> cellLayerNormWeights;</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::unique_ptr<Decoder<float>> outputLayerNormWeights;</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="keyword">const</span> TensorShape& inputToOutputWeightsShape = m_InputToOutputWeightsTensor->GetShape();</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> TensorShape& recurrentToOutputWeightsShape = m_RecurrentToOutputWeightsTensor->GetShape();</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>  <span class="keywordflow">if</span> (useLayerNorm)</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>  <span class="keywordflow">if</span> (!useCifg)</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  inputLayerNormWeights = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  m_InputLayerNormWeights->GetTensorInfo(), m_InputLayerNormWeights->GetConstTensor<<span class="keywordtype">void</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>  forgetLayerNormWeights = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  m_ForgetLayerNormWeights->GetTensorInfo(), m_ForgetLayerNormWeights->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  cellLayerNormWeights = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  m_CellLayerNormWeights->GetTensorInfo(), m_CellLayerNormWeights->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  outputLayerNormWeights = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  m_OutputLayerNormWeights->GetTensorInfo(), m_OutputLayerNormWeights->GetConstTensor<<span class="keywordtype">void</span>>());</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>  </div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (!useCifg)</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  inputToInputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  m_InputToInputWeightsTensor->GetTensorInfo(), m_InputToInputWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  inputGateBiasTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  m_InputGateBiasTensor->GetTensorInfo(), m_InputGateBiasTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  recurrentToInputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  m_RecurrentToInputWeightsTensor->GetTensorInfo(), m_RecurrentToInputWeightsTensor->GetConstTensor<<span class="keywordtype">void</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>  <span class="keywordflow">if</span> (usePeephole)</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>  cellToForgetWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  m_CellToForgetWeightsTensor->GetTensorInfo(), m_CellToForgetWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  cellToOutputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  m_CellToOutputWeightsTensor->GetTensorInfo(), m_CellToOutputWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  </div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">if</span> (!useCifg && usePeephole)</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>  cellToInputWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  m_CellToInputWeightsTensor->GetTensorInfo(), m_CellToInputWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  projectionWeightsTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  m_ProjectionWeightsTensor->GetTensorInfo(), m_ProjectionWeightsTensor->GetConstTensor<<span class="keywordtype">void</span>>());</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (m_ProjectionBiasTensor)</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>  projectionBiasTensor = MakeDecoder<float>(</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_ProjectionBiasTensor->GetTensorInfo(), m_ProjectionBiasTensor->GetConstTensor<<span class="keywordtype">void</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>  </div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="namespacearmnn.html#a952423703fa6b92f18d19df3995633b4">LstmImpl</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  inputInfo,</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  outputInfo,</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  inputToOutputWeightsShape,</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  recurrentToOutputWeightsShape,</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  inputData,</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  outputStateIn,</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  cellStateIn,</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  outputStateOut,</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  cellStateOut,</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  output,</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  cellStateOutDecoder,</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  outputDecoder,</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  inputToInputWeightsTensor,</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  inputToForgetWeightsTensor,</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  inputToCellWeightsTensor,</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  inputToOutputWeightsTensor,</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  recurrentToInputWeightsTensor,</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  recurrentToForgetWeightsTensor,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  recurrentToCellWeightsTensor,</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  recurrentToOutputWeightsTensor,</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  cellToInputWeightsTensor,</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  cellToForgetWeightsTensor,</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  cellToOutputWeightsTensor,</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  inputGateBiasTensor,</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  forgetGateBiasTensor,</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  cellBiasTensor,</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  outputGateBiasTensor,</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  projectionWeightsTensor,</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  projectionBiasTensor,</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  inputLayerNormWeights,</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  forgetLayerNormWeights,</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  cellLayerNormWeights,</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  outputLayerNormWeights,</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  inputGateScratch,</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  cellScratch,</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  forgetGateScratch,</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  outputGateScratch,</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  inputGateScratchDecoder,</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  cellScratchDecoder,</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  forgetGateScratchDecoder,</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  outputGateScratchDecoder,</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  m_LayerNormEpsilon);</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  </div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="a_lstm_utils_8cpp_html_a8618ae0c77638e01069fdb0063cabb3f"><div class="ttname"><a href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a></div><div class="ttdeci">std::unique_ptr< armnn::ScopedTensorHandle > AssignScopedTensorHandle(const armnn::ConstTensorHandle *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00299">LstmUtils.cpp:299</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_lstm_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefLstmWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_lstm_workload_8cpp_source.html#l00047">RefLstmWorkload.cpp:47</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01148">Descriptors.hpp:1148</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a952423703fa6b92f18d19df3995633b4"><div class="ttname"><a href="namespacearmnn.html#a952423703fa6b92f18d19df3995633b4">armnn::LstmImpl</a></div><div class="ttdeci">void LstmImpl(const LstmDescriptor &descriptor, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const TensorShape &inputToOutputWeightsShape, const TensorShape &recurrentToOutputWeightsShape, std::unique_ptr< Decoder< float >> &inputData, std::unique_ptr< Decoder< float >> &outputStateIn, std::unique_ptr< Decoder< float >> &cellStateIn, std::unique_ptr< Encoder< float >> &outputStateOut, std::unique_ptr< Encoder< float >> &cellStateOut, std::unique_ptr< Encoder< float >> &output, std::unique_ptr< Decoder< float >> &cellStateOutDecoder, std::unique_ptr< Decoder< float >> &outputDecoder, std::unique_ptr< Decoder< float >> &inputToInputWeightsTensor, std::unique_ptr< Decoder< float >> &inputToForgetWeightsTensor, std::unique_ptr< Decoder< float >> &inputToCellWeightsTensor, std::unique_ptr< Decoder< float >> &inputToOutputWeightsTensor, std::unique_ptr< Decoder< float >> &recurrentToInputWeightsTensor, std::unique_ptr< Decoder< float >> &recurrentToForgetWeightsTensor, std::unique_ptr< Decoder< float >> &recurrentToCellWeightsTensor, std::unique_ptr< Decoder< float >> &recurrentToOutputWeightsTensor, std::unique_ptr< Decoder< float >> &cellToInputWeightsTensor, std::unique_ptr< Decoder< float >> &cellToForgetWeightsTensor, std::unique_ptr< Decoder< float >> &cellToOutputWeightsTensor, std::unique_ptr< Decoder< float >> &inputGateBiasTensor, std::unique_ptr< Decoder< float >> &forgetGateBiasTensor, std::unique_ptr< Decoder< float >> &cellBiasTensor, std::unique_ptr< Decoder< float >> &outputGateBiasTensor, std::unique_ptr< Decoder< float >> &projectionWeightsTensor, std::unique_ptr< Decoder< float >> &projectionBiasTensor, std::unique_ptr< Decoder< float >> &inputLayerNormWeights, std::unique_ptr< Decoder< float >> &forgetLayerNormWeights, std::unique_ptr< Decoder< float >> &cellLayerNormWeights, std::unique_ptr< Decoder< float >> &outputLayerNormWeights, std::unique_ptr< Encoder< float >> &inputGateScratch, std::unique_ptr< Encoder< float >> &cellScratch, std::unique_ptr< Encoder< float >> &forgetGateScratch, std::unique_ptr< Encoder< float >> &outputGateScratch, std::unique_ptr< Decoder< float >> &inputGateScratchDecoder, std::unique_ptr< Decoder< float >> &cellScratchDecoder, std::unique_ptr< Decoder< float >> &forgetGateScratchDecoder, std::unique_ptr< Decoder< float >> &outputGateScratchDecoder, float layerNormEpsilon)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_8cpp_source.html#l00013">Lstm.cpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_lstm_workload_html_a236c28ffd299dcfa88d6c0260e69f000"><div class="ttname"><a href="classarmnn_1_1_ref_lstm_workload.html#a236c28ffd299dcfa88d6c0260e69f000">armnn::RefLstmWorkload::RefLstmWorkload</a></div><div class="ttdeci">RefLstmWorkload(const LstmQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_lstm_workload_8cpp_source.html#l00017">RefLstmWorkload.cpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</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="a_activation_8hpp_html"><div class="ttname"><a href="_activation_8hpp.html">Activation.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html">armnn::LstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00400">WorkloadData.hpp:400</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01146">Descriptors.hpp:1146</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< LstmQueueDescriptor >::m_Data</a></div><div class="ttdeci">LstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::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#l01152">Descriptors.hpp:1152</a></div></div> |
| <div class="ttc" id="a_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00020">WorkingMemDescriptor.hpp:20</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00018">WorkingMemDescriptor.hpp:18</a></div></div> |
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| <div class="ttc" id="aclassarmnn_1_1_ref_lstm_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefLstmWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_lstm_workload_8cpp_source.html#l00042">RefLstmWorkload.cpp:42</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
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