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| <div class="title">NeonL2NormalizationFloatWorkload.cpp</div> </div> |
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| <a href="_neon_l2_normalization_float_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 © 2017-2023 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="_neon_l2_normalization_float_workload_8hpp.html">NeonL2NormalizationFloatWorkload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h></span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">using namespace </span>armcomputetensorutils;</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> |
| <div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae838df3960d2b5d18d73ed2a07aee917"> 19</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#ae838df3960d2b5d18d73ed2a07aee917">NeonL2NormalizationWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>& descriptor)</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordtype">int</span> axis = (descriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 2 : 0;</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span> arm_compute::NEL2NormalizeLayer::validate(&aclInput, &aclOutput, axis, descriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> }</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#a91ba7d823503e4b193e2dd2e580fc3a4"> 31</a></span> <a class="code" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#a91ba7d823503e4b193e2dd2e580fc3a4">NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_queue_descriptor.html">L2NormalizationQueueDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  : <a class="code" href="classarmnn_1_1_typed_workload.html">FloatWorkload</a><<a class="code" href="structarmnn_1_1_l2_normalization_queue_descriptor.html">L2NormalizationQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="comment">// Report Profiling Details</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"NeonL2NormalizationFloatWorkload_Construct"</span>,</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  this->GetGuid());</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>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"NeonL2NormalizationFloatWorkload"</span>, 1, 1);</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  </div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(<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>[0])->GetTensor();</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(<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>[0])->GetTensor();</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>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_DataLayout);</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  input.info()->set_data_layout(aclDataLayout);</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  output.info()->set_data_layout(aclDataLayout);</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">int</span> axis = (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_DataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 2 : 0;</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>  <span class="keyword">auto</span> layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  layer->configure(&input, &output, axis, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Eps);</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  m_Layer.reset(layer.release());</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</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"><a class="line" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a"> 57</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">"NeonL2NormalizationFloatWorkload_Execute"</span>);</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  m_Layer->run();</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837"> 63</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">NeonL2NormalizationFloatWorkload::ReplaceInputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-><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>[slot];</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  this-><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>[slot] = tensorHandle;</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">try</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  Reconfigure();</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>& e)</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  this-><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>[slot] = backupHandle;</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">throw</span> e;</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment">// Replace output tensor handle with the given TensorHandle</span></div> |
| <div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd"> 80</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_l2_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">NeonL2NormalizationFloatWorkload::ReplaceOutputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-><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>[slot];</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  this-><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>[slot] = tensorHandle;</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">try</span></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  Reconfigure();</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>& e)</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  this-><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>[slot] = backupHandle;</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">throw</span> e;</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> }</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keywordtype">void</span> NeonL2NormalizationFloatWorkload::Reconfigure()</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">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>(<span class="stringliteral">"Reconfigure not implemented for this workload"</span>);</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>  </div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="aclassarmnn_1_1_neon_l2_normalization_float_workload_html_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">armnn::NeonL2NormalizationFloatWorkload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.html#l00063">NeonL2NormalizationFloatWorkload.cpp:63</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_l2_normalization_float_workload_html_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_neon_l2_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">armnn::NeonL2NormalizationFloatWorkload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.html#l00080">NeonL2NormalizationFloatWorkload.cpp:80</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00446">WorkloadData.cpp:446</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::L2NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00824">Descriptors.hpp:824</a></div></div> |
| <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="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_queue_descriptor.html">armnn::L2NormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00358">WorkloadData.hpp:358</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_typed_workload_html"><div class="ttname"><a href="classarmnn_1_1_typed_workload.html">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00101">Workload.hpp:101</a></div></div> |
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| <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="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div> |
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| <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="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_l2_normalization_float_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_l2_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonL2NormalizationFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.html#l00057">NeonL2NormalizationFloatWorkload.cpp:57</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_l2_normalization_float_workload_html_a91ba7d823503e4b193e2dd2e580fc3a4"><div class="ttname"><a href="classarmnn_1_1_neon_l2_normalization_float_workload.html#a91ba7d823503e4b193e2dd2e580fc3a4">armnn::NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload</a></div><div class="ttdeci">NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.html#l00031">NeonL2NormalizationFloatWorkload.cpp:31</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</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::m_Data</a></div><div class="ttdeci">QueueDescriptor 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="a_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div> |
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| <div class="ttc" id="aclassarmnn_1_1_unimplemented_exception_html"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00098">Exceptions.hpp:98</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">armnn::L2NormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Used to avoid dividing by zero.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00822">Descriptors.hpp:822</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae838df3960d2b5d18d73ed2a07aee917"><div class="ttname"><a href="namespacearmnn.html#ae838df3960d2b5d18d73ed2a07aee917">armnn::NeonL2NormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.html#l00019">NeonL2NormalizationFloatWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="a_neon_l2_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_neon_l2_normalization_float_workload_8hpp.html">NeonL2NormalizationFloatWorkload.hpp</a></div></div> |
| <div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_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="_neon_workload_utils_8hpp_source.html#l00032">NeonWorkloadUtils.hpp:32</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> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div> |
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