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+<div class="title">NeonSplitterWorkload.cpp</div>  </div>
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+<a href="_neon_splitter_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_splitter_workload_8hpp.xhtml">NeonSplitterWorkload.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 &lt;arm_compute/runtime/NEON/functions/NESplit.h&gt;</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="_arm_compute_utils_8hpp.xhtml">aclCommon/ArmComputeUtils.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="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</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="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</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="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;{</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">using namespace </span>armcomputetensorutils;</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="keyword">namespace</span></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="keywordtype">unsigned</span> <span class="keywordtype">int</span> CalcAclAxis(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> splitAxis)</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="keywordflow">return</span> (numDimensions - splitAxis) - 1;</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">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;} <span class="comment">//namespace</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aab5ea316b3decb05430323d847e3a773">   31</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#aab5ea316b3decb05430323d847e3a773">NeonSplitterWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; input,</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                                                 <span class="keyword">const</span> std::vector&lt;std::reference_wrapper&lt;TensorInfo&gt;&gt;&amp; outputs,</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                                                 <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> splitAxis)</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordtype">size_t</span> numOutputs = outputs.size();</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;    std::vector&lt;arm_compute::TensorInfo&gt; aclOutputs;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    aclOutputs.reserve(numOutputs);</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    std::vector&lt;arm_compute::ITensorInfo*&gt; aclOutputPtr;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    aclOutputPtr.reserve(numOutputs);</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;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0u; i &lt; outputs.size(); ++i)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    {</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        aclOutputs.emplace_back(BuildArmComputeTensorInfo(outputs[i]));</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        aclOutputPtr.emplace_back(&amp;aclOutputs.back());</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">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclAxis = CalcAclAxis(input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), splitAxis);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordflow">return</span> arm_compute::NESplit::validate(&amp;aclInputInfo, aclOutputPtr, aclAxis);</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;</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_splitter_workload.xhtml#a4ef44659ac28386257a1540de3276d2c">   55</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_splitter_workload.xhtml#a4ef44659ac28386257a1540de3276d2c">NeonSplitterWorkload::NeonSplitterWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</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="l00056"></a><span class="lineno">   56</span>&#160;    : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;{</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keywordtype">bool</span> allOutputsAreSubtensors = <span class="keyword">true</span>;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="comment">// Check that all outputs are sub-tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    {</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        <span class="keywordflow">if</span> (output &amp;&amp; !output-&gt;GetParent())</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;            <span class="comment">// Non sub-tensor input found so we need to execute the split function</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            allOutputsAreSubtensors = <span class="keyword">false</span>;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            <span class="keywordflow">break</span>;</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;    }</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">if</span> (allOutputsAreSubtensors)</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;        <span class="comment">// Can skip configuring the split function since it&#39;s not executed</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="keywordflow">return</span>;</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;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    arm_compute::ITensor&amp; input = boost::polymorphic_downcast&lt;IAclTensorHandle*&gt;(<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])-&gt;GetTensor();</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;    std::vector&lt;arm_compute::ITensor *&gt; aclOutputs;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</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;        arm_compute::ITensor&amp; aclOutput  = boost::polymorphic_pointer_downcast&lt;IAclTensorHandle&gt;(output)-&gt;GetTensor();</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        aclOutputs.emplace_back(&amp;aclOutput);</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;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="comment">// Create the layer function</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    std::unique_ptr&lt;arm_compute::NESplit&gt; layer(<span class="keyword">new</span> arm_compute::NESplit());</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">// Configure input and output tensors</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    std::set&lt;unsigned int&gt; splitAxis = <a class="code" href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</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]-&gt;GetShape());</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="keywordflow">if</span> (splitAxis.size() != 1)</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">   93</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Cannot derive split axis from SplitterDescriptor&quot;</span>);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    }</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclAxis = CalcAclAxis(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(), *splitAxis.begin());</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    layer-&gt;configure(&amp;input, aclOutputs, aclAxis);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="comment">// Prepare</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    layer-&gt;prepare();</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    m_Layer.reset(layer.release());</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;}</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">  104</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <span class="keywordflow">if</span> (m_Layer)</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    {</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonSplitterWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        m_Layer-&gt;run();</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    }</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="ttc" id="namespacearmnn_xhtml_aab5ea316b3decb05430323d847e3a773"><div class="ttname"><a href="namespacearmnn.xhtml#aab5ea316b3decb05430323d847e3a773">armnn::NeonSplitterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSplitterWorkloadValidate(const TensorInfo &amp;input, const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;outputs, unsigned int splitAxis)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_splitter_workload_8cpp_source.xhtml#l00031">NeonSplitterWorkload.cpp:31</a></div></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="structarmnn_1_1_splitter_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.xhtml">armnn::SplitterQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00083">WorkloadData.hpp:83</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="structarmnn_1_1_views_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::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#l00292">Descriptors.cpp:292</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; SplitterQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const SplitterQueueDescriptor 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_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_neon_tensor_handle_8hpp.xhtml">NeonTensorHandle.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_splitter_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonSplitterWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_splitter_workload_8cpp_source.xhtml#l00104">NeonSplitterWorkload.cpp:104</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="classarmnn_1_1_neon_splitter_workload_xhtml_a4ef44659ac28386257a1540de3276d2c"><div class="ttname"><a href="classarmnn_1_1_neon_splitter_workload.xhtml#a4ef44659ac28386257a1540de3276d2c">armnn::NeonSplitterWorkload::NeonSplitterWorkload</a></div><div class="ttdeci">NeonSplitterWorkload(const SplitterQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_splitter_workload_8cpp_source.xhtml#l00055">NeonSplitterWorkload.cpp:55</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="namespacearmnn_xhtml_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set&lt; unsigned int &gt; ComputeSplitAxis(const armnn::SplitterDescriptor &amp;desc, const TensorShape &amp;input)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00155">ArmComputeUtils.hpp:155</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="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="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_splitter_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_splitter_workload_8hpp.xhtml">NeonSplitterWorkload.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_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</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_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="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
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+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="dir_369c3c20501d0d10bd0354bf11c2f559.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_neon_splitter_workload_8cpp.xhtml">NeonSplitterWorkload.cpp</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:12 for ArmNN by
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