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<div class="title">NeonConcatWorkload.cpp</div> </div>
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<a href="_neon_concat_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>&#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="_neon_concat_workload_8hpp.xhtml">NeonConcatWorkload.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 &quot;<a class="code" href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.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.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_tensor_handle_8hpp.xhtml">neon/NeonTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</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;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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"> 18</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace</span></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;<span class="keywordtype">size_t</span> CalcAxis(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a>&amp; desc)</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"> 24</span>&#160; <span class="keywordflow">return</span> (desc.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - desc.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>()) - 1;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;}</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;} <span class="comment">//namespace</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"><a class="line" href="namespacearmnn.xhtml#a8a219633e750d6daffcef3b641fa11f3"> 28</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a8a219633e750d6daffcef3b641fa11f3">NeonConcatWorkloadValidate</a>(<span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; inputs,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; output,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; std::vector&lt;arm_compute::TensorInfo&gt; aclInputs;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* input : inputs)</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; arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; aclInputs.emplace_back(aclInputInfo);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; }</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; std::vector&lt;arm_compute::ITensorInfo*&gt; aclInputPtrs;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">for</span> (arm_compute::ITensorInfo&amp; input : aclInputs)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; aclInputPtrs.emplace_back(&amp;input);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">size_t</span> aclAxis = CalcAxis(descriptor);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">return</span> arm_compute::NEConcatenateLayer::validate(aclInputPtrs, &amp;aclOutputInfo, aclAxis);</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;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_concat_workload.xhtml#a9e2f12901f4165674c424597ea597ec8"> 50</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_concat_workload.xhtml#a9e2f12901f4165674c424597ea597ec8">NeonConcatWorkload::NeonConcatWorkload</a>(</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a>&gt;(descriptor, info)</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; <span class="keywordtype">bool</span> allInputsAreSubtensors = <span class="keyword">true</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="comment">// Check that all inputs are sub-tensors</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>)</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; <span class="keywordflow">if</span> (!input-&gt;GetParent())</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// Non sub-tensor input found so we need to execute the concat function</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; allInputsAreSubtensors = <span class="keyword">false</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; }</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; <span class="keywordflow">if</span> (allInputsAreSubtensors)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// Can skip configuring the concat function since it&#39;s not executed</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::vector&lt;arm_compute::ITensor *&gt; aclInputs;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : <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>)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; arm_compute::ITensor&amp; aclInput = boost::polymorphic_pointer_downcast&lt;IAclTensorHandle&gt;(input)-&gt;GetTensor();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; aclInputs.emplace_back(&amp;aclInput);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; arm_compute::ITensor&amp; output = boost::polymorphic_pointer_downcast&lt;IAclTensorHandle&gt;(</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <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])-&gt;GetTensor();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="comment">// Create the layer function</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; m_Layer.reset(<span class="keyword">new</span> arm_compute::NEConcatenateLayer());</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Configure input and output tensors</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">size_t</span> aclAxis = CalcAxis(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; m_Layer-&gt;configure(aclInputs, &amp;output, aclAxis);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// Prepare</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; m_Layer-&gt;prepare();</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;}</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 93</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">if</span> (m_Layer)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonConcatWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; m_Layer-&gt;run();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;}</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</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="_neon_concat_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_concat_workload_8hpp.xhtml">NeonConcatWorkload.hpp</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&lt; ConcatQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const ConcatQueueDescriptor 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="classarmnn_1_1_neon_concat_workload_xhtml_a9e2f12901f4165674c424597ea597ec8"><div class="ttname"><a href="classarmnn_1_1_neon_concat_workload.xhtml#a9e2f12901f4165674c424597ea597ec8">armnn::NeonConcatWorkload::NeonConcatWorkload</a></div><div class="ttdeci">NeonConcatWorkload(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_concat_workload_8cpp_source.xhtml#l00050">NeonConcatWorkload.cpp:50</a></div></div>
<div class="ttc" id="_neon_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_neon_tensor_handle_8hpp.xhtml">NeonTensorHandle.hpp</a></div></div>
<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</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_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</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="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_concat_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConcatWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_concat_workload_8cpp_source.xhtml#l00093">NeonConcatWorkload.cpp:93</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="namespacearmnn_xhtml_a8a219633e750d6daffcef3b641fa11f3"><div class="ttname"><a href="namespacearmnn.xhtml#a8a219633e750d6daffcef3b641fa11f3">armnn::NeonConcatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConcatWorkloadValidate(const std::vector&lt; const TensorInfo *&gt; &amp;inputs, const TensorInfo &amp;output, const OriginsDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_concat_workload_8cpp_source.xhtml#l00028">NeonConcatWorkload.cpp:28</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="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.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&lt; ITensorHandle * &gt; 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="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00184">Descriptors.cpp:184</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&lt; ITensorHandle * &gt; 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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00154">Descriptors.cpp:154</a></div></div>
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