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Diffstat (limited to 'latest/classarmnn_1_1_neon_splitter_workload.html')
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1 files changed, 68 insertions, 68 deletions
diff --git a/latest/classarmnn_1_1_neon_splitter_workload.html b/latest/classarmnn_1_1_neon_splitter_workload.html index af83336ffc..e9132ba9fa 100644 --- a/latest/classarmnn_1_1_neon_splitter_workload.html +++ b/latest/classarmnn_1_1_neon_splitter_workload.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -199,62 +199,62 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p class="definition">Definition at line <a class="el" href="_neon_splitter_workload_8cpp_source.html#l00056">56</a> of file <a class="el" href="_neon_splitter_workload_8cpp_source.html">NeonSplitterWorkload.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  : NeonBaseWorkload<SplitterQueueDescriptor>(descriptor, info)</div> -<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div> -<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Report Profiling Details</span></div> -<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"NeonSplitterWorkload_Construct"</span>,</div> -<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  descriptor.m_Parameters,</div> -<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  info,</div> -<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this->GetGuid());</div> -<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div> -<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">bool</span> allOutputsAreSubtensors = <span class="keyword">true</span>;</div> -<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> -<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Check that all outputs are sub-tensors</span></div> -<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</div> -<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> -<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (output && !output->GetParent())</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>  <span class="comment">// Non sub-tensor input found so we need to execute the split function</span></div> -<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  allOutputsAreSubtensors = <span class="keyword">false</span>;</div> -<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">break</span>;</div> -<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div> -<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</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>  <span class="keywordflow">if</span> (allOutputsAreSubtensors)</div> -<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div> -<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Can skip configuring the split function since it's not executed</span></div> -<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span>;</div> -<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div> -<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div> -<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(<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="l00085"></a><span class="lineno"> 85</span>  </div> -<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::vector<arm_compute::ITensor *> aclOutputs;</div> -<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</div> -<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div> -<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  arm_compute::ITensor& aclOutput = PolymorphicPointerDowncast<IAclTensorHandle>(output)->GetTensor();</div> -<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  aclOutputs.emplace_back(&aclOutput);</div> -<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div> -<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> -<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Create the layer function</span></div> -<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::unique_ptr<arm_compute::NESplit> layer(<span class="keyword">new</span> arm_compute::NESplit());</div> -<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> -<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Configure input and output tensors</span></div> -<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::set<unsigned int> splitAxis = <a class="code" href="namespacearmnn.html#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(descriptor.m_Parameters, <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]->GetShape());</div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (splitAxis.size() != 1)</div> -<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div> -<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Cannot derive split axis from SplitterDescriptor"</span>);</div> -<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div> -<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> -<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclAxis = CalcAclAxis(descriptor.m_Parameters.GetNumDimensions(), *splitAxis.begin());</div> -<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  layer->configure(&input, aclOutputs, aclAxis);</div> -<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> -<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Prepare</span></div> -<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  layer->prepare();</div> -<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  m_Layer.reset(layer.release());</div> -<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div> +<p class="definition">Definition at line <a class="el" href="_neon_splitter_workload_8cpp_source.html#l00057">57</a> of file <a class="el" href="_neon_splitter_workload_8cpp_source.html">NeonSplitterWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  : NeonBaseWorkload<SplitterQueueDescriptor>(descriptor, info)</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>  <span class="comment">// Report Profiling Details</span></div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"NeonSplitterWorkload_Construct"</span>,</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  descriptor.m_Parameters,</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  info,</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  this->GetGuid());</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">bool</span> allOutputsAreSubtensors = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Check that all outputs are sub-tensors</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</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>  <span class="keywordflow">if</span> (output && !output->GetParent())</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Non sub-tensor input found so we need to execute the split function</span></div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  allOutputsAreSubtensors = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</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="keywordflow">if</span> (allOutputsAreSubtensors)</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Can skip configuring the split function since it's not executed</span></div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(<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="l00086"></a><span class="lineno"> 86</span>  </div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::vector<arm_compute::ITensor *> aclOutputs;</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <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>)</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  arm_compute::ITensor& aclOutput = PolymorphicPointerDowncast<IAclTensorHandle>(output)->GetTensor();</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  aclOutputs.emplace_back(&aclOutput);</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Create the layer function</span></div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::unique_ptr<arm_compute::NESplit> layer(<span class="keyword">new</span> arm_compute::NESplit());</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Configure input and output tensors</span></div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::set<unsigned int> splitAxis = <a class="code" href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">ComputeSplitAxis</a>(descriptor.m_Parameters, <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]->GetShape());</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">if</span> (splitAxis.size() != 1)</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Cannot derive split axis from SplitterDescriptor"</span>);</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  </div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclAxis = CalcAclAxis(descriptor.m_Parameters.GetNumDimensions(), *splitAxis.begin());</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  layer->configure(&input, aclOutputs, aclAxis);</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Prepare</span></div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  layer->prepare();</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  m_Layer.reset(layer.release());</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="_arm_compute_utils_8hpp_source.html#l00246">armnn::ComputeSplitAxis()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00306">ViewsDescriptor::GetNumDimensions()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< SplitterQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> +<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00377">armnn::ComputeSplitAxis()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00307">ViewsDescriptor::GetNumDimensions()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< SplitterQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> </div> </div> @@ -284,16 +284,16 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p> -<p class="definition">Definition at line <a class="el" href="_neon_splitter_workload_8cpp_source.html#l00111">111</a> of file <a class="el" href="_neon_splitter_workload_8cpp_source.html">NeonSplitterWorkload.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> {</div> -<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">if</span> (m_Layer)</div> -<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div> -<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">"NeonSplitterWorkload_Execute"</span>);</div> -<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  m_Layer->run();</div> -<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div> -<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div> +<p class="definition">Definition at line <a class="el" href="_neon_splitter_workload_8cpp_source.html#l00112">112</a> of file <a class="el" href="_neon_splitter_workload_8cpp_source.html">NeonSplitterWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span> (m_Layer)</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">"NeonSplitterWorkload_Execute"</span>);</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  m_Layer->run();</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.html#l00032">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>.</p> +<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.html#l00033">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>.</p> </div> </div> @@ -303,17 +303,17 @@ Additional Inherited Members</h2></td></tr> </ul> </div><!-- contents --> </div><!-- doc-content --> -<div class="ttc" id="anamespacearmnn_html_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.html#a8cbabc875597b3bed0ccdc0adb289fde">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set< unsigned int > ComputeSplitAxis(const armnn::SplitterDescriptor &desc, const TensorShape &input)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00246">ArmComputeUtils.hpp:246</a></div></div> <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#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.html#l00027">WorkloadData.hpp:27</a></div></div> <div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div> <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< SplitterQueueDescriptor >::m_Data</a></div><div class="ttdeci">SplitterQueueDescriptor 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="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_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="_neon_workload_utils_8hpp_source.html#l00032">NeonWorkloadUtils.hpp:32</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a2f68926d52d1aa3590bd467e041def05"><div class="ttname"><a href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set< unsigned int > ComputeSplitAxis(const armnn::SplitterDescriptor &desc, const TensorShape &input)</div><div class="ttdoc">Calculates the axis values for split operation.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00377">WorkloadUtils.cpp:377</a></div></div> +<div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_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="_neon_workload_utils_8hpp_source.html#l00033">NeonWorkloadUtils.hpp:33</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> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li 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