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+<a href="_neon_constant_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_constant_workload_8hpp.xhtml">NeonConstantWorkload.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;arm_compute/core/Types.h&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="_half_8hpp.xhtml">Half.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_tensor_handle_8hpp.xhtml">neon/NeonTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_8hpp.xhtml">backendsCommon/Workload.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="preprocessor">#include &lt;boost/cast.hpp&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_neon_constant_workload.xhtml#a104b2d6e3d37d807cd758d2111922ac2">   20</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_constant_workload.xhtml#a104b2d6e3d37d807cd758d2111922ac2">NeonConstantWorkload::NeonConstantWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</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="l00022"></a><span class="lineno">   22</span>&#160;    : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    , m_RanOnce(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</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">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">   27</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonConstantWorkload_Execute&quot;</span>);</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">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    <span class="comment">// The intermediate tensor held by the corresponding layer output handler can be initialised with the</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="comment">// given data on the first inference, then reused for subsequent inferences.</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="comment">// The initialisation cannot happen at workload construction time since the ACL kernel for the next layer</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="comment">// may not have been configured at the time.</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordflow">if</span> (!m_RanOnce)</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;        <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>&amp; data = this-&gt;<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>;</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;        BOOST_ASSERT(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a> != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        arm_compute::ITensor&amp; output =</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;            boost::polymorphic_downcast&lt;NeonTensorHandle*&gt;(data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> computeDataType =</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;            boost::polymorphic_downcast&lt;NeonTensorHandle*&gt;(data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetDataType();</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <span class="keywordflow">switch</span> (computeDataType)</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;            <span class="keywordflow">case</span> arm_compute::DataType::F16:</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;                CopyArmComputeITensorData(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;<a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>&gt;(), output);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            }</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;            <span class="keywordflow">case</span> arm_compute::DataType::F32:</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;            {</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                CopyArmComputeITensorData(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;<span class="keywordtype">float</span>&gt;(), output);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                <span class="keywordflow">break</span>;</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="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;            {</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                CopyArmComputeITensorData(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;uint8_t&gt;(), output);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;            }</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            <span class="keywordflow">default</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;                BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;Unknown data type&quot;</span>);</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            }</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;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        m_RanOnce = <span class="keyword">true</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</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;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_neon_constant_workload_xhtml_a104b2d6e3d37d807cd758d2111922ac2"><div class="ttname"><a href="classarmnn_1_1_neon_constant_workload.xhtml#a104b2d6e3d37d807cd758d2111922ac2">armnn::NeonConstantWorkload::NeonConstantWorkload</a></div><div class="ttdeci">NeonConstantWorkload(const ConstantQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_constant_workload_8cpp_source.xhtml#l00020">NeonConstantWorkload.cpp:20</a></div></div>
+<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00326">WorkloadData.hpp:326</a></div></div>
+<div class="ttc" id="_neon_constant_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_constant_workload_8hpp.xhtml">NeonConstantWorkload.hpp</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&lt; ConstantQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const ConstantQueueDescriptor 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_constant_queue_descriptor_xhtml_ade37258f293ac919eac5f1af1de5ac82"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml#ade37258f293ac919eac5f1af1de5ac82">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00333">WorkloadData.hpp:333</a></div></div>
+<div class="ttc" id="_neon_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_neon_tensor_handle_8hpp.xhtml">NeonTensorHandle.hpp</a></div></div>
+<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">armnn::ConstCpuTensorHandle::GetConstTensor</a></div><div class="ttdeci">const T * GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00031">CpuTensorHandle.hpp:31</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="_cl_layer_tests_8cpp_xhtml_af3b727ae5a13ff472892ab8bda2eb1b5"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a></div><div class="ttdeci">DataLayout::NHWC false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00129">ClLayerTests.cpp:129</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_constant_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConstantWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_constant_workload_8cpp_source.xhtml#l00027">NeonConstantWorkload.cpp:27</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="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div>
+<div class="ttc" id="structarmnn_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#l00031">WorkloadData.hpp:31</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="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>
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+  <ul>
+    <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_constant_workload_8cpp.xhtml">NeonConstantWorkload.cpp</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:12 for ArmNN by
+    <a href="http://www.doxygen.org/index.html">
+    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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