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| <div class="title">NeonSoftmaxFloatWorkload.cpp</div> </div> |
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| <a href="_neon_softmax_float_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_softmax_float_workload_8hpp.xhtml">NeonSoftmaxFloatWorkload.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 <<a class="code" href="_arm_compute_utils_8hpp.xhtml">aclCommon/ArmComputeUtils.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h></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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#a542366957947778e51bf02582eafccf9"> 16</a></span> <a class="code" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#a542366957947778e51bf02582eafccf9">NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : <a class="code" href="classarmnn_1_1_typed_workload.xhtml">FloatWorkload</a><<a class="code" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</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">"NeonSoftmaxFloatWorkload"</span>, 1, 1);</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="comment">// The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  arm_compute::ITensor& input = 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="l00024"></a><span class="lineno"> 24</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="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">auto</span> layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclAxis = <a class="code" href="namespacearmnn.xhtml#aa70ebe7b7898fe69ce24db803caa373e">ComputeSoftmaxAclAxis</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Parameters, info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0]);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  layer->configure(&input, &output, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Parameters.m_Beta, aclAxis);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  m_SoftmaxLayer.reset(layer.release());</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> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 32</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_softmax_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxFloatWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword"></span>{</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">"NeonSoftmaxFloatWorkload_Execute"</span>);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  m_SoftmaxLayer->run();</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> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> } <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="ttc" id="_arm_compute_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_utils_8hpp.xhtml">ArmComputeUtils.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_softmax_float_workload_xhtml_a542366957947778e51bf02582eafccf9"><div class="ttname"><a href="classarmnn_1_1_neon_softmax_float_workload.xhtml#a542366957947778e51bf02582eafccf9">armnn::NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload</a></div><div class="ttdeci">NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_softmax_float_workload_8cpp_source.xhtml#l00016">NeonSoftmaxFloatWorkload.cpp:16</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::m_Data</a></div><div class="ttdeci">const QueueDescriptor 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_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="structarmnn_1_1_softmax_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_queue_descriptor.xhtml">armnn::SoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00077">WorkloadData.hpp:77</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div> |
| <div class="ttc" id="_neon_softmax_float_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_softmax_float_workload_8hpp.xhtml">NeonSoftmaxFloatWorkload.hpp</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="classarmnn_1_1_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_typed_workload.xhtml">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00052">Workload.hpp:52</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_neon_softmax_float_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_softmax_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonSoftmaxFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_softmax_float_workload_8cpp_source.xhtml#l00032">NeonSoftmaxFloatWorkload.cpp:32</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml_aa70ebe7b7898fe69ce24db803caa373e"><div class="ttname"><a href="namespacearmnn.xhtml#aa70ebe7b7898fe69ce24db803caa373e">armnn::ComputeSoftmaxAclAxis</a></div><div class="ttdeci">unsigned int ComputeSoftmaxAclAxis(const SoftmaxDescriptor &softmaxDesc, const armnn::TensorInfo &tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00139">ArmComputeUtils.hpp:139</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> |
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