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Diffstat (limited to 'latest/classarmnn_1_1_reduce_layer.html')
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1 files changed, 89 insertions, 77 deletions
diff --git a/latest/classarmnn_1_1_reduce_layer.html b/latest/classarmnn_1_1_reduce_layer.html index 4a670d1c1c..f4474b5866 100644 --- a/latest/classarmnn_1_1_reduce_layer.html +++ b/latest/classarmnn_1_1_reduce_layer.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> @@ -496,7 +496,7 @@ Additional Inherited Members</h2></td></tr> <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01554">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< ReduceDescriptor >::m_Param</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01558">ReduceDescriptor::m_ReduceOperation</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< ReduceDescriptor >::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, and <a class="el" href="_layer_8cpp_source.html#l00287">Layer::SetAdditionalInfo()</a>.</p> +<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01554">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< ReduceDescriptor >::m_Param</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01558">ReduceDescriptor::m_ReduceOperation</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< ReduceDescriptor >::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p> </div> </div> @@ -528,10 +528,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_reduce_layer_8cpp_source.html#l00117">117</a> of file <a class="el" href="_reduce_layer_8cpp_source.html">ReduceLayer.cpp</a>.</p> -<div class="fragment"><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>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> -<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div> +<p class="definition">Definition at line <a class="el" href="_reduce_layer_8cpp_source.html#l00128">128</a> of file <a class="el" href="_reduce_layer_8cpp_source.html">ReduceLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> {</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< ReduceDescriptor >::GetParameters()</a>.</p> @@ -572,62 +572,70 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_reduce_layer_8cpp_source.html#l00062">62</a> of file <a class="el" href="_reduce_layer_8cpp_source.html">ReduceLayer.cpp</a>.</p> -<div class="fragment"><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="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 1);</div> -<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> TensorShape& input = inputShapes[0];</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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(input.GetNumDimensions() > 0 && input.GetNumDimensions() <= 4,</div> -<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="stringliteral">"ReduceLayer: Reduce supports up to 4D input."</span>);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = input.GetNumDimensions();</div> -<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputRank = 0;</div> +<p class="definition">Definition at line <a class="el" href="_reduce_layer_8cpp_source.html#l00065">65</a> of file <a class="el" href="_reduce_layer_8cpp_source.html">ReduceLayer.cpp</a>.</p> +<div class="fragment"><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="keywordflow">if</span> (inputShapes.size() != 1)</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="stringliteral">"\" - should be \"1\"."</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"> 73</span>  <span class="comment">// Calculate output dimension</span></div> -<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</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>  outputRank = rank;</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">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty())</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>  outputRank = 1;</div> -<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> -<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size() > input.GetNumDimensions())</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>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ReduceLayer: Dimensions to reduce can not be bigger than input dimensions"</span>);</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>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div> -<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  outputRank = input.GetNumDimensions() - armnn::numeric_cast<unsigned int>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size());</div> -<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> (outputRank == 0)</div> -<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div> -<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  outputRank = 1;</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>  </div> -<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::vector<unsigned int> dimSizes(outputRank, 1);</div> -<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty())</div> -<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Skip the dimension that has been reduced unless keepDims is true.</span></div> -<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0;</div> -<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < input.GetNumDimensions(); ++i)</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> TensorShape& input = inputShapes[0];</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">auto</span> inputDims = input.GetNumDimensions();</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (inputDims < 1 || inputDims > 4)</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">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ReduceLayer: Reduce supports up to 4D input."</span>);</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>  </div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = input.GetNumDimensions();</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputRank = 0;</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>  <span class="comment">// Calculate output dimension</span></div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</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>  outputRank = rank;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty())</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  outputRank = 1;</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="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size() > input.GetNumDimensions())</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ReduceLayer: Dimensions to reduce can not be bigger than input dimensions"</span>);</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="keywordflow">else</span></div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  outputRank = input.GetNumDimensions() - armnn::numeric_cast<unsigned int>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size());</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">if</span> (outputRank == 0)</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>  <span class="keywordflow">if</span> (std::find(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.begin(), <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.end(), i) == <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.end())</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>  dimSizes[outputIndex] = armnn::numeric_cast<unsigned int>(input[i]);</div> -<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  ++outputIndex;</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="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</div> -<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div> -<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  dimSizes[outputIndex] = 1;</div> -<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  ++outputIndex;</div> -<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div> -<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>  }</div> -<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ TensorShape(outputRank, dimSizes.data()) });</div> -<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  outputRank = 1;</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>  }</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>  std::vector<unsigned int> dimSizes(outputRank, 1);</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty())</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Skip the dimension that has been reduced unless keepDims is true.</span></div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0;</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < input.GetNumDimensions(); ++i)</div> +<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> (std::find(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.begin(), <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.end(), i) == <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.end())</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>  dimSizes[outputIndex] = armnn::numeric_cast<unsigned int>(input[i]);</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  ++outputIndex;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  dimSizes[outputIndex] = 1;</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  ++outputIndex;</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ TensorShape(outputRank, dimSizes.data()) });</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_assert_8hpp_source.html#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01554">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< ReduceDescriptor >::m_Param</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>.</p> +<p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01554">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< ReduceDescriptor >::m_Param</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>.</p> <p class="reference">Referenced by <a class="el" href="_reduce_layer_8cpp_source.html#l00044">ReduceLayer::ValidateTensorShapesFromInputs()</a>.</p> @@ -670,15 +678,18 @@ Additional Inherited Members</h2></td></tr> <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> TensorInfo& input = <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div> <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div> -<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(input.GetNumDimensions() > 0 && input.GetNumDimensions() <= 4,</div> -<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="stringliteral">"ReduceLayer: Reduce supports up to 4D input."</span>);</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>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_reduce_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>( {input.GetShape() });</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ReduceLayer"</span>);</div> -<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> }</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> inputDims = input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (inputDims < 1 || inputDims > 4)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"ReduceLayer: Reduce supports up to 4D input."</span>);</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>  </div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_reduce_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>( {input.GetShape() });</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ReduceLayer"</span>);</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_reduce_layer_8cpp_source.html#l00062">ReduceLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00391">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p> +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_reduce_layer_8cpp_source.html#l00065">ReduceLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p> </div> </div> @@ -688,34 +699,35 @@ Additional Inherited Members</h2></td></tr> </ul> </div><!-- contents --> </div><!-- doc-content --> -<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00197">Tensor.hpp:197</a></div></div> <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> -<div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< ReduceDescriptor >::GetParameters</a></div><div class="ttdeci">const ReduceDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div> <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01558">Descriptors.hpp:1558</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< ReduceDescriptor >::m_Param</a></div><div class="ttdeci">ReduceDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< ReduceDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00287">Layer.cpp:287</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">armnn::ReduceDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">if true then output shape has no change.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01554">Descriptors.hpp:1554</a></div></div> <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</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="aclassarmnn_1_1_reduce_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ReduceLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_layer_8cpp_source.html#l00062">ReduceLayer.cpp:62</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_reduce_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ReduceLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_layer_8cpp_source.html#l00065">ReduceLayer.cpp:65</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters< ReduceDescriptor >::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const ReduceDescriptor &param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00030">LayerWithParameters.hpp:30</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_reduce_layer.html">ReduceLayer</a></li> - <li class="footer">Generated on Wed Feb 14 2024 16:36:24 for Arm NN by + <li 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