Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
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-<p class="definition">Definition at line <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html#l00093">93</a> of file <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html">NeonDepthwiseConvolutionWorkload.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  : <a class="code" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload<DepthwiseConvolution2dQueueDescriptor></a>(descriptor, info)</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>  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="l00099"></a><span class="lineno"> 99</span>  arm_compute::ITensor& output = 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#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div>
-<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  arm_compute::ITensor& weights = 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>[1])->GetTensor();</div>
-<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  weights.info()->set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].IsConstant());</div>
-<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  arm_compute::ITensor* biasesPtr = <span class="keyword">nullptr</span>;</div>
-<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</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>  biasesPtr = &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>[2])->GetTensor();</div>
-<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  biasesPtr->info()->set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant());</div>
-<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// We assume here that NeonDepthwiseConvolutionWorkloadValidate has been called before the constructor.</span></div>
-<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant() == <span class="keyword">true</span>);</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_depthwise_convolution_workload_8cpp_source.html#l00087">87</a> of file <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html">NeonDepthwiseConvolutionWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  : <a class="code" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload<DepthwiseConvolution2dQueueDescriptor></a>(descriptor, info)</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>  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="l00093"></a><span class="lineno"> 93</span>  arm_compute::ITensor& output = 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#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  arm_compute::ITensor& weights = 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>[1])->GetTensor();</div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  weights.info()->set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].IsConstant());</div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  arm_compute::ITensor* biasesPtr = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</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>  biasesPtr = &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>[2])->GetTensor();</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  biasesPtr->info()->set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant());</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>  arm_compute::TensorShape weightsShape = weights.info()->tensor_shape();</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  arm_compute::TensorShape inputShape = input.info()->tensor_shape();</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">// The PermuteDepthwiseConv2dWeights backend optimization has been performed,</span></div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// converting weights to have the same data layout as input.</span></div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depthMultiplier =</div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  ComputeDepthwiseConv2dDepthMultiplier(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>, weightsShape, inputShape);</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div>
-<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  arm_compute::TensorShape weightsShape = weights.info()->tensor_shape();</div>
-<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  arm_compute::TensorShape inputShape = input.info()->tensor_shape();</div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>);</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="comment">// The PermuteDepthwiseConv2dWeights backend optimization has been performed,</span></div>
-<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// converting weights to have the same data layout as input.</span></div>
-<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depthMultiplier =</div>
-<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  ComputeDepthwiseConv2dDepthMultiplier(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>, weightsShape, inputShape);</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>  <span class="keyword">const</span> arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div>
-<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>);</div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  uint32_t numInputs = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> ? 3: 2;</div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"NeonDepthwiseConvolutionWorkload"</span>, numInputs, 1);</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  input.info()->set_data_layout(aclDataLayout);</div>
+<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  weights.info()->set_data_layout(aclDataLayout);</div>
+<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  output.info()->set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  </div>
-<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  uint32_t numInputs = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> ? 3: 2;</div>
-<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"NeonDepthwiseConvolutionWorkload"</span>, numInputs, 1);</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>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
-<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  input.info()->set_data_layout(aclDataLayout);</div>
-<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  weights.info()->set_data_layout(aclDataLayout);</div>
-<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  output.info()->set_data_layout(aclDataLayout);</div>
-<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>  <span class="keyword">const</span> arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</div>
-<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  </div>
-<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
-<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div>
-<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>();</div>
-<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">static_cast<</span>arm_compute::NEDepthwiseConvolutionLayer*<span class="keyword">></span>(</div>
-<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  m_pDepthwiseConvolutionLayer.get())->configure(&input,</div>
-<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  &weights,</div>
-<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  biasesPtr,</div>
-<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  &output,</div>
-<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  padStrideInfo,</div>
-<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  depthMultiplier,</div>
-<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  activationInfo,</div>
-<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  aclDilationInfo);</div>
-<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div>
-<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Add details for profiling output</span></div>
-<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> detailsInfo;</div>
-<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  </div>
-<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos;</div>
-<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos;</div>
-<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#afd0d41a1e6de4c1565b7f4bfd04b4abc">m_WeightsTensorInfo</a> = <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<armnn::TensorInfo></a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1]);</div>
-<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
-<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div>
-<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a00c11ec4cda30e66fb6b6c25b3e4541b">m_BiasTensorInfo</a> = <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<armnn::TensorInfo></a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2]);</div>
-<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div>
-<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  </div>
-<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// Report Profiling Details</span></div>
-<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"NeonDepthwiseConvolution2dWorkload_Construct"</span>,</div>
-<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
-<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  detailsInfo,</div>
-<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
-<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  </div>
-<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(m_pDepthwiseConvolutionLayer);</div>
-<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  </div>
-<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  m_pDepthwiseConvolutionLayer->prepare();</div>
-<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">const</span> arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</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>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
+<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>();</div>
+<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">static_cast<</span>arm_compute::NEDepthwiseConvolutionLayer*<span class="keyword">></span>(</div>
+<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  m_pDepthwiseConvolutionLayer.get())->configure(&input,</div>
+<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  &weights,</div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  biasesPtr,</div>
+<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  &output,</div>
+<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  padStrideInfo,</div>
+<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  depthMultiplier,</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  activationInfo,</div>
+<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  aclDilationInfo);</div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  </div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// Add details for profiling output</span></div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> detailsInfo;</div>
+<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  </div>
+<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos;</div>
+<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos;</div>
+<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// Report Profiling Details</span></div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"NeonDepthwiseConvolution2dWorkload_Construct"</span>,</div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  detailsInfo,</div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div>
+<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(m_pDepthwiseConvolutionLayer);</div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  m_pDepthwiseConvolutionLayer->prepare();</div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> }</div>
</div><!-- fragment -->
-<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_descriptors_8hpp_source.html#l00708">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< DepthwiseConvolution2dQueueDescriptor >::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="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_descriptors_8hpp_source.html#l00708">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< DepthwiseConvolution2dQueueDescriptor >::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>
@@ -301,13 +294,13 @@
<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_depthwise_convolution_workload_8cpp_source.html#l00167">167</a> of file <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html">NeonDepthwiseConvolutionWorkload.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div>
-<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">"NeonDepthwiseConvolutionWorkload_Execute"</span>);</div>
-<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(m_pDepthwiseConvolutionLayer);</div>
-<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  </div>
-<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  m_pDepthwiseConvolutionLayer->run();</div>
-<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div>
+<p class="definition">Definition at line <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html#l00154">154</a> of file <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.html">NeonDepthwiseConvolutionWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">"NeonDepthwiseConvolutionWorkload_Execute"</span>);</div>
+<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(m_pDepthwiseConvolutionLayer);</div>
+<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div>
+<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  m_pDepthwiseConvolutionLayer->run();</div>
+<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> }</div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_neon_workload_utils_8hpp_source.html#l00032">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>.</p>
@@ -320,17 +313,14 @@
</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_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional< armnn::TensorInfo ></a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00708">Descriptors.hpp:708</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00446">WorkloadData.cpp:446</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00103">ArmComputeUtils.hpp:103</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00105">ArmComputeUtils.hpp:105</a></div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00710">Descriptors.hpp:710</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#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.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00706">Descriptors.hpp:706</a></div></div>
-<div class="ttc" id="astructarmnn_1_1_workload_info_html_afd0d41a1e6de4c1565b7f4bfd04b4abc"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#afd0d41a1e6de4c1565b7f4bfd04b4abc">armnn::WorkloadInfo::m_WeightsTensorInfo</a></div><div class="ttdeci">Optional< TensorInfo > m_WeightsTensorInfo</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00021">WorkloadInfo.hpp:21</a></div></div>
-<div class="ttc" id="astructarmnn_1_1_workload_info_html_a00c11ec4cda30e66fb6b6c25b3e4541b"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a00c11ec4cda30e66fb6b6c25b3e4541b">armnn::WorkloadInfo::m_BiasTensorInfo</a></div><div class="ttdeci">Optional< TensorInfo > m_BiasTensorInfo</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00022">WorkloadInfo.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</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>
@@ -346,7 +336,7 @@
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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<li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.html">NeonDepthwiseConvolutionWorkload</a></li>
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