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<div class="title">ClConstantWorkload.cpp</div>  </div>
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<a href="_cl_constant_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>&#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="_cl_constant_workload_8hpp.html">ClConstantWorkload.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.html">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="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.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="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.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="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.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 &quot;<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">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_cl_constant_workload.html#a51416bac19ec5bc8cd78e5037987f829">   18</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_constant_workload.html#a51416bac19ec5bc8cd78e5037987f829">ClConstantWorkload::ClConstantWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">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_base_workload.html">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    , m_RanOnce(<a class="code" href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a>)</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;}</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"><a class="line" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">   24</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <a class="code" href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a>(<span class="stringliteral">&quot;ClConstantWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="comment">// The intermediate tensor held by the corresponding layer output handler can be initialised with the given data</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="comment">// on the first inference, then reused for subsequent inferences.</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="comment">// The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <span class="comment">// have been configured at the time.</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <span class="keywordflow">if</span> (!m_RanOnce)</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    {</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>&amp; data = this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>;</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;        BOOST_ASSERT(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a> != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;        arm_compute::CLTensor&amp; output = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_cl_tensor_handle.html">ClTensorHandle</a>*<span class="keyword">&gt;</span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> computeDataType = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_cl_tensor_handle.html">ClTensorHandle</a>*<span class="keyword">&gt;</span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetDataType();</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="keywordflow">switch</span> (computeDataType)</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;            <span class="keywordflow">case</span> arm_compute::DataType::F16:</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;                <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;<a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>&gt;());</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                <span class="keywordflow">break</span>;</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">case</span> arm_compute::DataType::F32:</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;                <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;<span class="keywordtype">float</span>&gt;());</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;            }</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;            <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</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;                <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#ade37258f293ac919eac5f1af1de5ac82">m_LayerOutput</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>&lt;uint8_t&gt;());</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                <span class="keywordflow">break</span>;</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;            <span class="keywordflow">default</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;                BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;Unknown data type&quot;</span>);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                <span class="keywordflow">break</span>;</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;        }</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;        m_RanOnce = <span class="keyword">true</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;}</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="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00031">CpuTensorHandle.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_html_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="_cl_constant_workload_8hpp_html"><div class="ttname"><a href="_cl_constant_workload_8hpp.html">ClConstantWorkload.hpp</a></div></div>
<div class="ttc" id="_cl_layer_tests_8cpp_html_a67e2647a90dec71bb79c8b38872ba570"><div class="ttname"><a href="_cl_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a></div><div class="ttdeci">DataLayout::NHWC false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.html#l00103">ClLayerTests.cpp:103</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
<div class="ttc" id="_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#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.html#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_html_ade37258f293ac919eac5f1af1de5ac82"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html#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.html#l00333">WorkloadData.hpp:333</a></div></div>
<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00326">WorkloadData.hpp:326</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="namespacearmnn_html_a73447f827b995cf90d4029151514b4ba"><div class="ttname"><a href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">armnn::CopyArmComputeClTensorData</a></div><div class="ttdeci">void CopyArmComputeClTensorData(arm_compute::CLTensor &amp;dstTensor, const T *srcData)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00030">ClWorkloadUtils.hpp:30</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
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<div class="ttc" id="classarmnn_1_1_cl_constant_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClConstantWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.html#l00024">ClConstantWorkload.cpp:24</a></div></div>
<div class="ttc" id="structarmnn_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&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_cl_tensor_handle.html">armnn::ClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_8hpp_source.html#l00034">ClTensorHandle.hpp:34</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_constant_workload_html_a51416bac19ec5bc8cd78e5037987f829"><div class="ttname"><a href="classarmnn_1_1_cl_constant_workload.html#a51416bac19ec5bc8cd78e5037987f829">armnn::ClConstantWorkload::ClConstantWorkload</a></div><div class="ttdeci">ClConstantWorkload(const ConstantQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_constant_workload_8cpp_source.html#l00018">ClConstantWorkload.cpp:18</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_html_a9166fc90a3ea47a2c9499a810b204daf"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00020">ClWorkloadUtils.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_base_workload.html">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00028">Workload.hpp:28</a></div></div>
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