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<div class="title">NeonConvertFp32ToFp16Workload.cpp</div> </div>
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<a href="_neon_convert_fp32_to_fp16_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. 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_fp32_to_fp16_workload_8hpp.xhtml">NeonConvertFp32ToFp16Workload.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="_half_8hpp.xhtml">Half.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_profiling_8hpp.xhtml">Profiling.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</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="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 &lt;<a class="code" href="_workload_utils_8hpp.xhtml">backendsCommon/WorkloadUtils.hpp</a>&gt;</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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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;</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#a074e5e0c6d0901ec2a2a2cba69e5df98"> 18</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#a074e5e0c6d0901ec2a2a2cba69e5df98">NeonConvertFp32ToFp16Workload::NeonConvertFp32ToFp16Workload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</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="l00020"></a><span class="lineno"> 20</span>&#160; : <a class="code" href="classarmnn_1_1_multi_typed_workload.xhtml">Float32ToFloat16Workload</a>&lt;<a class="code" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonConvertFp32ToFp16Workload&quot;</span>, 1, 1);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <a class="code" href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">GatherTensorHandlePairs</a>(descriptor, m_TensorHandlePairs);</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"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 26</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonConvertFp32ToFp16Workload_Execute&quot;</span>);</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; <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="l00031"></a><span class="lineno"> 31</span>&#160; {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">auto</span> input = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(src);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">auto</span> output = <span class="keyword">reinterpret_cast&lt;</span><a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>*<span class="keyword">&gt;</span>(dst);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a>(input, numElements, output);</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;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</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="l00039"></a><span class="lineno"> 39</span>&#160; {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(pair.first, pair.second, convertFunc);</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"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</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_fp32_to_fp16_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConvertFp32ToFp16Workload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp32_to_fp16_workload_8cpp_source.xhtml#l00026">NeonConvertFp32ToFp16Workload.cpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">const QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="_neon_workload_utils_8hpp_xhtml_a8bf91fd5e5875631bcf6abbcd97fe2f4"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00017">NeonWorkloadUtils.hpp:17</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#l00461">WorkloadData.cpp:461</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</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="_workload_8hpp_source.xhtml#l00105">Workload.hpp:105</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_af0fdbfb53596052d571cb73899f9da2b"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a></div><div class="ttdeci">static void ConvertFloat32To16(const float *srcFloat32Buffer, size_t numElements, void *dstFloat16Buffer)</div><div class="ttdoc">Converts a buffer of FP32 values to FP16, and stores in the given dstFloat16Buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00016">FloatingPointConverter.cpp:16</a></div></div>
<div class="ttc" id="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">armnn::ConvertFp32ToFp16QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00415">WorkloadData.hpp:415</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_fp32_to_fp16_workload_xhtml_a074e5e0c6d0901ec2a2a2cba69e5df98"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#a074e5e0c6d0901ec2a2a2cba69e5df98">armnn::NeonConvertFp32ToFp16Workload::NeonConvertFp32ToFp16Workload</a></div><div class="ttdeci">NeonConvertFp32ToFp16Workload(const ConvertFp32ToFp16QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp32_to_fp16_workload_8cpp_source.xhtml#l00018">NeonConvertFp32ToFp16Workload.cpp:18</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 inputs and outputs to 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="_neon_convert_fp32_to_fp16_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convert_fp32_to_fp16_workload_8hpp.xhtml">NeonConvertFp32ToFp16Workload.hpp</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#l00049">WorkloadUtils.hpp:49</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#l00192">WorkloadUtils.hpp:192</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#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml"><div class="ttname"><a href="_profiling_8hpp.xhtml">Profiling.hpp</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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