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<div class="title">SampleDynamicAdditionWorkload.cpp</div> </div>
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<a href="_sample_dynamic_addition_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2020 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_tensor_handle_8hpp.xhtml">armnn/backends/ITensorHandle.hpp</a>></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_sample_dynamic_addition_workload_8hpp.xhtml">SampleDynamicAdditionWorkload.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_sample_tensor_handle_8hpp.xhtml">SampleTensorHandle.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="namespacesdb.xhtml"> 11</a></span> <span class="keyword">namespace </span><a class="code" href="namespacesdb.xhtml">sdb</a> <span class="comment">// sample dynamic backend</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="namespacesdb.xhtml#a85b9996aa5ce714f68afe6208f88c4b6"> 14</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& <a class="code" href="namespacesdb.xhtml#a85b9996aa5ce714f68afe6208f88c4b6">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a>* tensorHandle)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> <a class="code" href="classsdb_1_1_sample_tensor_handle.xhtml">SampleTensorHandle</a>* sampleTensorHandle =</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="classsdb_1_1_sample_tensor_handle.xhtml">SampleTensorHandle</a>*<span class="keyword">></span>(tensorHandle);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keywordflow">return</span> sampleTensorHandle-><a class="code" href="classsdb_1_1_sample_tensor_handle.xhtml#a1292fa227a4ab978d2b932e709d2eb3d">GetTensorInfo</a>();</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="namespacesdb.xhtml#aca39335e7965247027044d61f2e18b37"> 22</a></span> <span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacesdb.xhtml#aca39335e7965247027044d61f2e18b37">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a>& data)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a>* tensorHandle = data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[idx];</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="namespacesdb.xhtml#ae0648cdfa7f9cea93231099727b78ab5"> 28</a></span> <span class="keywordtype">float</span>* <a class="code" href="namespacesdb.xhtml#ae0648cdfa7f9cea93231099727b78ab5">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a>& data)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a>* tensorHandle = data.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[idx];</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#a57c05c5948e7f26f128411036b36f40b"> 34</a></span> <a class="code" href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#a57c05c5948e7f26f128411036b36f40b">SampleDynamicAdditionWorkload::SampleDynamicAdditionWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a>& info)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  : BaseWorkload(descriptor, info)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {}</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 39</a></span> <span class="keywordtype">void</span> <a class="code" href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword"></span>{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& info = <a class="code" href="namespacesdb.xhtml#a85b9996aa5ce714f68afe6208f88c4b6">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num = info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* inputData0 = <a class="code" href="namespacesdb.xhtml#aca39335e7965247027044d61f2e18b37">GetInputTensorData</a>(0, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* inputData1 = <a class="code" href="namespacesdb.xhtml#aca39335e7965247027044d61f2e18b37">GetInputTensorData</a>(1, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">float</span>* outputData = <a class="code" href="namespacesdb.xhtml#ae0648cdfa7f9cea93231099727b78ab5">GetOutputTensorData</a>(0, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < num; ++i)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  outputData[i] = inputData0[i] + inputData1[i];</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> } <span class="comment">// namespace sdb // sample dynamic backend</span></div><div class="ttc" id="classsdb_1_1_sample_dynamic_addition_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">sdb::SampleDynamicAdditionWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00039">SampleDynamicAdditionWorkload.cpp:39</a></div></div>
<div class="ttc" id="classarmnn_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="classsdb_1_1_sample_tensor_handle_xhtml"><div class="ttname"><a href="classsdb_1_1_sample_tensor_handle.xhtml">sdb::SampleTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_sample_tensor_handle_8hpp_source.xhtml#l00015">SampleTensorHandle.hpp:15</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< armnn::AdditionQueueDescriptor >::m_Data</a></div><div class="ttdeci">const armnn::AdditionQueueDescriptor 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="_sample_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_sample_tensor_handle_8hpp.xhtml">SampleTensorHandle.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00240">WorkloadData.hpp:240</a></div></div>
<div class="ttc" id="_sample_dynamic_addition_workload_8hpp_xhtml"><div class="ttname"><a href="_sample_dynamic_addition_workload_8hpp.xhtml">SampleDynamicAdditionWorkload.hpp</a></div></div>
<div class="ttc" id="namespacesdb_xhtml"><div class="ttname"><a href="namespacesdb.xhtml">sdb</a></div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00011">SampleDynamicAdditionWorkload.cpp:11</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="namespacesdb_xhtml_a85b9996aa5ce714f68afe6208f88c4b6"><div class="ttname"><a href="namespacesdb.xhtml#a85b9996aa5ce714f68afe6208f88c4b6">sdb::GetTensorInfo</a></div><div class="ttdeci">const armnn::TensorInfo & GetTensorInfo(const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00014">SampleDynamicAdditionWorkload.cpp:14</a></div></div>
<div class="ttc" id="classsdb_1_1_sample_tensor_handle_xhtml_a1292fa227a4ab978d2b932e709d2eb3d"><div class="ttname"><a href="classsdb_1_1_sample_tensor_handle.xhtml#a1292fa227a4ab978d2b932e709d2eb3d">sdb::SampleTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const armnn::TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_sample_tensor_handle_8hpp_source.xhtml#l00049">SampleTensorHandle.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access. </div></div>
<div class="ttc" id="namespacesdb_xhtml_aca39335e7965247027044d61f2e18b37"><div class="ttname"><a href="namespacesdb.xhtml#aca39335e7965247027044d61f2e18b37">sdb::GetInputTensorData</a></div><div class="ttdeci">const float * GetInputTensorData(unsigned int idx, const armnn::AdditionQueueDescriptor &data)</div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00022">SampleDynamicAdditionWorkload.cpp:22</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< ITensorHandle * > 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="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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00030">WorkloadData.hpp:30</a></div></div>
<div class="ttc" id="classsdb_1_1_sample_dynamic_addition_workload_xhtml_a57c05c5948e7f26f128411036b36f40b"><div class="ttname"><a href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#a57c05c5948e7f26f128411036b36f40b">sdb::SampleDynamicAdditionWorkload::SampleDynamicAdditionWorkload</a></div><div class="ttdeci">SampleDynamicAdditionWorkload(const armnn::AdditionQueueDescriptor &descriptor, const armnn::WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00034">SampleDynamicAdditionWorkload.cpp:34</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_tensor_handle_8hpp.xhtml">ITensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00192">Tensor.hpp:192</a></div></div>
<div class="ttc" id="namespacesdb_xhtml_ae0648cdfa7f9cea93231099727b78ab5"><div class="ttname"><a href="namespacesdb.xhtml#ae0648cdfa7f9cea93231099727b78ab5">sdb::GetOutputTensorData</a></div><div class="ttdeci">float * GetOutputTensorData(unsigned int idx, const armnn::AdditionQueueDescriptor &data)</div><div class="ttdef"><b>Definition:</b> <a href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00028">SampleDynamicAdditionWorkload.cpp:28</a></div></div>
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