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<div class="title">ClReduceWorkload.cpp</div> </div>
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<a href="_cl_reduce_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> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2021-2023 Arm Ltd and Contributors. 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="_cl_reduce_workload_8hpp.html">ClReduceWorkload.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="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>></span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></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="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>"</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"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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="keyword">using namespace </span>armcomputetensorutils;</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374"> 18</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374">ClReduceWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a>& descriptor)</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size() == 1 || descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty())</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> arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);</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>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(),</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>);</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span> arm_compute::CLReductionOperation::validate(&aclInputInfo,</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  &aclOutputInfo,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="namespacearmnn.html#a03ab984d93d0f240f31274499b72e6b0">ConvertReductionOperationToAcl</a>(descriptor),</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>);</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">else</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"> 39</span>  <span class="comment">// Validate layer if there are multiple axes.</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="_arm_compute_utils_8hpp.html#a97d67174b2c48969547ba4bac79e5ea2">IS_MULTI_AXES_REDUCE_SUPPORTED</a>(<a class="code" href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374">ClReduceWorkloadValidate</a>, input, descriptor, status);</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> status;</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> }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_reduce_workload.html#a9a8845994292816e9c6c154a037b61fe"> 46</a></span> <a class="code" href="classarmnn_1_1_cl_reduce_workload.html#a9a8845994292816e9c6c154a037b61fe">ClReduceWorkload::ClReduceWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_queue_descriptor.html">ReduceQueueDescriptor</a>& descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info)</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_reduce_queue_descriptor.html">ReduceQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Report Profiling Details</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClReduceWorkload_Construct"</span>,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  this->GetGuid());</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClReduceWorkload"</span>, 1, 1);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetNumDimensions(),</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClReduceWorkload_configure"</span>);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  m_Layer.configure(&input,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  &output,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="namespacearmnn.html#a03ab984d93d0f240f31274499b72e6b0">ConvertReductionOperationToAcl</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>),</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
<div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a"> 73</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_reduce_workload.html#ae071e8822437c78baea75c3aef3a263a">ClReduceWorkload::Execute</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClReduceWorkload_Execute"</span>);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  m_Layer.run();</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> } <span class="comment">//namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
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<div class="ttc" id="a_arm_compute_utils_8hpp_html_a97d67174b2c48969547ba4bac79e5ea2"><div class="ttname"><a href="_arm_compute_utils_8hpp.html#a97d67174b2c48969547ba4bac79e5ea2">IS_MULTI_AXES_REDUCE_SUPPORTED</a></div><div class="ttdeci">#define IS_MULTI_AXES_REDUCE_SUPPORTED(func, input, desc, status)</div><div class="ttdoc">Macro function check if layer with multiple axes is supported on each backend.</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00400">ArmComputeUtils.hpp:400</a></div></div>
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<div class="ttc" id="anamespacearmnn_html_a4c42dfd9db4a47e470b5800bb11a8374"><div class="ttname"><a href="namespacearmnn.html#a4c42dfd9db4a47e470b5800bb11a8374">armnn::ClReduceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClReduceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_reduce_workload_8cpp_source.html#l00018">ClReduceWorkload.cpp:18</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< ReduceQueueDescriptor >::m_Data</a></div><div class="ttdeci">ReduceQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector< uint32_t > m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01556">Descriptors.hpp:1556</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="a_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="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01538">Descriptors.hpp:1538</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#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.html#l00026">WorkloadData.hpp:26</a></div></div>
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