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<div class="title">NeonMultiplicationWorkload.cpp</div> </div>
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<a href="_neon_multiplication_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 © 2017 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="_neon_multiplication_workload_8hpp.xhtml">NeonMultiplicationWorkload.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="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a38bdbed2a1e28ab15cac0cc0f42c3fa6"> 15</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a38bdbed2a1e28ab15cac0cc0f42c3fa6">NeonMultiplicationWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInput2 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="comment">// when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="comment">// ignored for F32 tensors.</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">return</span> arm_compute::NEPixelWiseMultiplication::validate(&aclInput1,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  &aclInput2,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  &aclOutput,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  1.0f,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  arm_compute::ConvertPolicy::SATURATE,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  arm_compute::RoundingPolicy::TO_ZERO);</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="classarmnn_1_1_neon_multiplication_workload.xhtml#a2998b0d7211a2e61730c2d7af29268f4"> 34</a></span> <a class="code" href="classarmnn_1_1_neon_multiplication_workload.xhtml#a2998b0d7211a2e61730c2d7af29268f4">NeonMultiplicationWorkload::NeonMultiplicationWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</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">WorkloadInfo</a>& info)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a><<a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</a>>(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>  <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">"NeonMultiplicationWorkload"</span>, 2, 1);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(<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])->GetTensor();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(<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>[1])->GetTensor();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</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="comment">// At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// ignored for F32 tensors.</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">auto</span> layer = std::make_unique<arm_compute::NEPixelWiseMultiplication>();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  layer->configure(&input1,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  &input2,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  &output,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  1.0f,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  arm_compute::ConvertPolicy::SATURATE,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  arm_compute::RoundingPolicy::TO_ZERO);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  m_PixelWiseMultiplication.reset(layer.release());</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 57</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword"></span>{</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">"NeonMultiplicationWorkload_Execute"</span>);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  m_PixelWiseMultiplication->run();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_multiplication_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00222">WorkloadData.hpp:222</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a38bdbed2a1e28ab15cac0cc0f42c3fa6"><div class="ttname"><a href="namespacearmnn.xhtml#a38bdbed2a1e28ab15cac0cc0f42c3fa6">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00015">NeonMultiplicationWorkload.cpp:15</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#l00053">Tensor.hpp:53</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< MultiplicationQueueDescriptor >::m_Data</a></div><div class="ttdeci">const MultiplicationQueueDescriptor 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="_neon_multiplication_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_multiplication_workload_8hpp.xhtml">NeonMultiplicationWorkload.hpp</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 &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_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="classarmnn_1_1_neon_multiplication_workload_xhtml_a2998b0d7211a2e61730c2d7af29268f4"><div class="ttname"><a href="classarmnn_1_1_neon_multiplication_workload.xhtml#a2998b0d7211a2e61730c2d7af29268f4">armnn::NeonMultiplicationWorkload::NeonMultiplicationWorkload</a></div><div class="ttdeci">NeonMultiplicationWorkload(const MultiplicationQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00034">NeonMultiplicationWorkload.cpp:34</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="_neon_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.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< 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="classarmnn_1_1_neon_multiplication_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonMultiplicationWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00057">NeonMultiplicationWorkload.cpp:57</a></div></div>
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