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+<div class="title">NeonConvertFp16ToFp32Workload.cpp</div>  </div>
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+<a href="_neon_convert_fp16_to_fp32_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 © 2017 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="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.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 &lt;<a class="code" href="_floating_point_converter_8hpp.xhtml">armnnUtils/FloatingPointConverter.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_half_8hpp.xhtml">Half.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_utils_8hpp.xhtml">backendsCommon/WorkloadUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{</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"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">   17</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;                                                             <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; info)</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;     : <a class="code" href="classarmnn_1_1_multi_typed_workload.xhtml">Float16ToFloat32Workload</a>&lt;<a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    this-&gt;<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonConvertFp16ToFp32Workload&quot;</span>, 1, 1);</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">GatherTensorHandlePairs</a>(descriptor, m_TensorHandlePairs);</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_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">   25</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">&quot;NeonConvertFp16ToFp32Workload_Execute&quot;</span>, this-&gt;<a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">auto</span> convertFunc = [](uint8_t* dst, <span class="keyword">const</span> uint8_t* src, <span class="keywordtype">size_t</span> size)</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="keyword">auto</span> input = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>*<span class="keyword">&gt;</span>(src);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;            <span class="keyword">auto</span> output = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(dst);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;            <span class="keywordtype">size_t</span> numElements = size/2; <span class="comment">// 2 bytes per fp16</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;            <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(input, numElements, output);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;        };</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;    <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; pair : m_TensorHandlePairs)</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;        <a class="code" href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(pair.first, pair.second, convertFunc);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    }</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;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">   43</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-&gt;<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>[slot];</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    this-&gt;<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>[slot] = tensorHandle;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        Reconfigure();</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="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>&amp; e)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        this-&gt;<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>[slot] = backupHandle;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        <span class="keywordflow">throw</span> e;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    }</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;}</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="comment">// Replace output tensor handle with the given TensorHandle</span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">   60</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-&gt;<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>[slot];</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    this-&gt;<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>[slot] = tensorHandle;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    {</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        Reconfigure();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>&amp; e)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        this-&gt;<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>[slot] = backupHandle;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <span class="keywordflow">throw</span> e;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keywordtype">void</span> NeonConvertFp16ToFp32Workload::Reconfigure()</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>(<span class="stringliteral">&quot;Reconfigure not implemented for this workload&quot;</span>);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;}</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="_floating_point_converter_8hpp_xhtml"><div class="ttname"><a href="_floating_point_converter_8hpp.xhtml">FloatingPointConverter.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">armnn::NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00060">NeonConvertFp16ToFp32Workload.cpp:60</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConvertFp16ToFp32Workload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00025">NeonConvertFp16ToFp32Workload.cpp:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00059">Workload.hpp:59</a></div></div>
+<div class="ttc" id="classarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.xhtml#l00474">WorkloadData.cpp:474</a></div></div>
+<div class="ttc" id="namespacearmnn_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="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">armnn::NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00043">NeonConvertFp16ToFp32Workload.cpp:43</a></div></div>
+<div class="ttc" id="classarmnn_1_1_multi_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_multi_typed_workload.xhtml">armnn::MultiTypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00145">Workload.hpp:145</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00081">Workload.hpp:81</a></div></div>
+<div class="ttc" id="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">armnn::ConvertFp16ToFp32QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00494">WorkloadData.hpp:494</a></div></div>
+<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00031">FloatingPointConverter.cpp:31</a></div></div>
+<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_a9f374c3ca4d79ded86921bf82ead0da5"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">armnn::NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a></div><div class="ttdeci">NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00017">NeonConvertFp16ToFp32Workload.cpp:17</a></div></div>
+<div class="ttc" id="_neon_convert_fp16_to_fp32_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a92c91193007aa49f4732d6dba5397f8d"><div class="ttname"><a href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">armnn::CopyTensorContentsGeneric</a></div><div class="ttdeci">void CopyTensorContentsGeneric(const ITensorHandle *srcTensor, ITensorHandle *dstTensor, CopyFunc copy)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00046">WorkloadUtils.hpp:46</a></div></div>
+<div class="ttc" id="structarmnn_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="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_afb5b53a8b0c01d4f27830bef0f25ca09"><div class="ttname"><a href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">armnn::GatherTensorHandlePairs</a></div><div class="ttdeci">void GatherTensorHandlePairs(const DescriptorType &amp;descriptor, std::vector&lt; std::pair&lt; SrcTensorHandleType *, DstTensorHandleType *&gt;&gt; &amp;tensorHandlePairs)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00189">WorkloadUtils.hpp:189</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00018">Half.hpp:18</a></div></div>
+<div class="ttc" id="_neon_workload_utils_8hpp_xhtml_a9165e41bcaf1b90f9ff91ef681e88c4f"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00024">NeonWorkloadUtils.hpp:24</a></div></div>
+<div class="ttc" id="_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_utils_8hpp.xhtml">WorkloadUtils.hpp</a></div></div>
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+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="dir_369c3c20501d0d10bd0354bf11c2f559.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_neon_convert_fp16_to_fp32_workload_8cpp.xhtml">NeonConvertFp16ToFp32Workload.cpp</a></li>
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