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authorNikhil Raj <nikhil.raj@arm.com>2023-05-19 11:14:28 +0100
committerNikhil Raj <nikhil.raj@arm.com>2023-05-19 11:14:28 +0100
commit8efb48a6847c5cd166c561127ae6611150963ce3 (patch)
treef4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/_ref_softmax_workload_8cpp_source.xhtml
parent023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff)
downloadarmnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
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+<div class="title">RefSoftmaxWorkload.cpp</div> </div>
+</div><!--header-->
+<div class="contents">
+<a href="_ref_softmax_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
+<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_softmax_workload_8hpp.xhtml">RefSoftmaxWorkload.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_softmax_8hpp.xhtml">Softmax.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
+<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_profiling_8hpp.xhtml">Profiling.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div>
+<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
+<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 20</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload::Execute</a>()<span class="keyword"> const</span></div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <a class="code" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;}</div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
+<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c"> 25</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSoftmaxWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.xhtml">ExecutionData</a>&amp; executionData)</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast&lt;</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>*<span class="keyword">&gt;</span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.xhtml#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div>
+<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;}</div>
+<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload::Execute</a>(std::vector&lt;ITensorHandle*&gt; inputs, std::vector&lt;ITensorHandle*&gt; outputs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">&quot;RefSoftmaxWorkload_Execute&quot;</span>);</div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;inputTensorInfo = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; </div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; decoderPtr = MakeDecoder&lt;float&gt;(inputTensorInfo, inputs[0]-&gt;<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a> &amp;decoder = *decoderPtr;</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;outputTensorInfo = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; encoderPtr = MakeEncoder&lt;float&gt;(outputTensorInfo, outputs[0]-&gt;<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder&lt;float&gt;</a> &amp;encoder = *encoderPtr;</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <a class="code" href="namespacearmnn.xhtml#aa999ff2585ad75b95954a9323f63c32b">Softmax</a>(decoder,</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; encoder,</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; inputTensorInfo,</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;}</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;} <span class="comment">//namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="anamespacearmnn_xhtml_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00027">RefWorkloadUtils.hpp:27</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00020">WorkingMemDescriptor.hpp:20</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.xhtml">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.xhtml#l00014">ExecutionData.hpp:14</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_xhtml_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.xhtml#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.xhtml#l00016">ExecutionData.hpp:16</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00018">WorkingMemDescriptor.hpp:18</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; SoftmaxQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">SoftmaxQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00083">Workload.hpp:83</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">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.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_ref_softmax_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::RefSoftmaxWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_softmax_workload_8cpp_source.xhtml#l00020">RefSoftmaxWorkload.cpp:20</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00192">Descriptors.hpp:192</a></div></div>
+<div class="ttc" id="a_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div>
+<div class="ttc" id="a_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00220">Profiling.hpp:220</a></div></div>
+<div class="ttc" id="a_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_aa999ff2585ad75b95954a9323f63c32b"><div class="ttname"><a href="namespacearmnn.xhtml#aa999ff2585ad75b95954a9323f63c32b">armnn::Softmax</a></div><div class="ttdeci">void Softmax(Decoder&lt; float &gt; &amp;in, Encoder&lt; float &gt; &amp;out, const TensorInfo &amp;inputTensorInfo, float beta, int axis)</div><div class="ttdoc">Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo.</div><div class="ttdef"><b>Definition:</b> <a href="_softmax_8cpp_source.xhtml#l00017">Softmax.cpp:17</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_ref_softmax_workload_xhtml_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_softmax_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefSoftmaxWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &amp;executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_softmax_workload_8cpp_source.xhtml#l00025">RefSoftmaxWorkload.cpp:25</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00190">Descriptors.hpp:190</a></div></div>
+<div class="ttc" id="a_softmax_8hpp_xhtml"><div class="ttname"><a href="_softmax_8hpp.xhtml">Softmax.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00066">WorkloadData.hpp:66</a></div></div>
+<div class="ttc" id="a_ref_softmax_workload_8hpp_xhtml"><div class="ttname"><a href="_ref_softmax_workload_8hpp.xhtml">RefSoftmaxWorkload.hpp</a></div></div>
+<div class="ttc" id="a_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00021">WorkingMemDescriptor.hpp:21</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00027">WorkloadData.hpp:27</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdeci">@ CpuRef</div><div class="ttdoc">CPU Execution: Reference C++ kernels.</div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div>
+<div class="ttc" id="a_profiling_8hpp_xhtml"><div class="ttname"><a href="_profiling_8hpp.xhtml">Profiling.hpp</a></div></div>
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