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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
| commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
| tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml | |
| parent | 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff) | |
| download | armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz | |
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
Diffstat (limited to 'latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml')
| -rw-r--r-- | latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml | 179 |
1 files changed, 62 insertions, 117 deletions
diff --git a/latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml b/latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml index c324140f8b..7b91ba7151 100644 --- a/latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml +++ b/latest/classarmnn_1_1_cl_batch_mat_mul_workload.xhtml @@ -41,7 +41,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> <td style="padding-left: 0.5em;"> <div id="projectname"> -  <span id="projectnumber">23.02</span> +  <span id="projectnumber">23.05</span> </div> </td> </tr> @@ -169,7 +169,7 @@ Additional Inherited Members</h2></td></tr> </table> <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> <div class="textblock"> -<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8hpp_source.xhtml#l00021">21</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8hpp_source.xhtml">ClBatchMatMulWorkload.hpp</a>.</p> +<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8hpp_source.xhtml">ClBatchMatMulWorkload.hpp</a>.</p> </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> <a id="acfe62a711ddf54011cb8c34f878de2ac"></a> <h2 class="memtitle"><span class="permalink"><a href="#acfe62a711ddf54011cb8c34f878de2ac">◆ </a></span>ClBatchMatMulWorkload()</h2> @@ -203,97 +203,56 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml#l00115">115</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml">ClBatchMatMulWorkload.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  : ClBaseWorkload<BatchMatMulQueueDescriptor>(descriptor, info)</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>  <span class="comment">// Report Profiling Details</span></div> -<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClBatchMatMulWorkload_Construct"</span>,</div> -<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  descriptor.m_Parameters,</div> -<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  info,</div> -<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  this->GetGuid());</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>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_AdjointX || descriptor.m_Parameters.m_AdjointY )</div> -<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div> -<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">throw</span> Exception(<span class="stringliteral">"Support for adjoint not implemented."</span>);</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="keywordflow">if</span> (descriptor.m_Parameters.m_DataLayoutX != <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> ||</div> -<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  descriptor.m_Parameters.m_DataLayoutY != <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> )</div> -<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  {</div> -<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">throw</span> Exception(<span class="stringliteral">"Only supported the MatMul in the last 2 dimensions"</span>);</div> -<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div> -<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div> -<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClBatchMatMulWorkload"</span>, 2, 1);</div> -<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div> -<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> arm_compute::ICLTensor& inputX = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> -<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> arm_compute::ICLTensor& inputY = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div> -<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  arm_compute::ICLTensor& output = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> -<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  </div> -<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  inputX.info()->set_data_layout(armcomputetensorutils::ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>));</div> -<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  arm_compute::TensorShape inputXTensorInfo = armcomputetensorutils::BuildArmComputeTensorShape(</div> -<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape(), 3);</div> -<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  inputX.info()->set_tensor_shape(inputXTensorInfo);</div> -<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  inputY.info()->set_data_layout(armcomputetensorutils::ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>));</div> -<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  arm_compute::TensorShape inputYTensorInfo = armcomputetensorutils::BuildArmComputeTensorShape(</div> -<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetShape(), 3);</div> -<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  inputY.info()->set_tensor_shape(inputYTensorInfo);</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>  arm_compute::TensorInfo aclPermutedXInfo = arm_compute::TensorInfo();</div> -<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  arm_compute::TensorInfo aclPermutedYInfo = arm_compute::TensorInfo();</div> -<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  </div> -<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_TransposeX == <span class="keyword">true</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> strippedInfo = <a class="code" href="namespacearmnn_utils.xhtml#a2bff2aae3ae824ff74ba550488373886">armnnUtils::ReduceDims</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0], 3);</div> -<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> -<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> permutationXVector</div> -<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  = <a class="code" href="namespacearmnn.xhtml#a15e2ba06d2ecd7ff6013118838e5d1be">GeneratePermutationVectorOnLastTwoDimensions</a>(strippedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> -<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> TensorInfo permutedXInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(strippedInfo, permutationXVector);</div> -<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <span class="keyword">auto</span> aclPermutationXVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationXVector);</div> -<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  armcomputetensorutils::BuildArmComputeTensor(m_PermutedTensorX, permutedXInfo);</div> -<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_PermutedTensorX);</div> -<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> -<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">auto</span> permuteLayerX = std::make_unique<arm_compute::CLPermute>();</div> -<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  permuteLayerX->configure(clCompileContext,</div> -<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  &inputX,</div> -<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  &m_PermutedTensorX,</div> -<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  aclPermutationXVector);</div> -<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  m_PermuteLayerX.reset(permuteLayerX.release());</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>  </div> -<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_TransposeY == <span class="keyword">true</span>)</div> -<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div> -<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> strippedInfo = <a class="code" href="namespacearmnn_utils.xhtml#a2bff2aae3ae824ff74ba550488373886">armnnUtils::ReduceDims</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1], 3);</div> -<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  </div> -<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> permutationYVector</div> -<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  = <a class="code" href="namespacearmnn.xhtml#a15e2ba06d2ecd7ff6013118838e5d1be">GeneratePermutationVectorOnLastTwoDimensions</a>(strippedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> -<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> TensorInfo permutedYInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(strippedInfo, permutationYVector);</div> -<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <span class="keyword">auto</span> aclPermutationYVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationYVector);</div> -<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  armcomputetensorutils::BuildArmComputeTensor(m_PermutedTensorY, permutedYInfo);</div> -<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_PermutedTensorY);</div> -<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  </div> -<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">auto</span> permuteLayerY = std::make_unique<arm_compute::CLPermute>();</div> -<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  permuteLayerY->configure(clCompileContext,</div> -<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  &inputY,</div> -<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  &m_PermutedTensorY,</div> -<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  aclPermutationYVector);</div> -<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  m_PermuteLayerY.reset(permuteLayerY.release());</div> -<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div> -<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> -<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> arm_compute::GEMMInfo& gemm_info = arm_compute::GEMMInfo(<span class="keyword">false</span>, <span class="comment">// is inputX reshaped</span></div> -<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">false</span>, <span class="comment">// is inputY reshaped</span></div> -<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">false</span>); <span class="comment">// is inputY reshaped only 1st run</span></div> -<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">auto</span> gemmLayer = std::make_unique<arm_compute::CLGEMM>();</div> -<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  gemmLayer->configure(clCompileContext,</div> -<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  descriptor.m_Parameters.m_TransposeX ? &m_PermutedTensorX : &inputX,</div> -<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  descriptor.m_Parameters.m_TransposeY ? &m_PermutedTensorY : &inputY,</div> -<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">nullptr</span>,</div> -<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  &output,</div> -<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  1.0,</div> -<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  0,</div> -<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  gemm_info);</div> -<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  m_GEMMLayer.reset(gemmLayer.release());</div> -<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml#l00057">57</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml">ClBatchMatMulWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  : ClBaseWorkload<BatchMatMulQueueDescriptor>(descriptor, info)</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>  <span class="comment">// Report Profiling Details</span></div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClBatchMatMulWorkload_Construct"</span>,</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  descriptor.m_Parameters,</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  info,</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  this->GetGuid());</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="keywordflow">if</span> (descriptor.m_Parameters.m_AdjointX || descriptor.m_Parameters.m_AdjointY )</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">throw</span> Exception(<span class="stringliteral">"Support for adjoint not implemented."</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>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_DataLayoutX != <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> ||</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  descriptor.m_Parameters.m_DataLayoutY != <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> )</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="keywordflow">throw</span> Exception(<span class="stringliteral">"Only supported the MatMul in the last 2 dimensions"</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>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClBatchMatMulWorkload"</span>, 2, 1);</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>  arm_compute::ICLTensor& inputX = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  arm_compute::ICLTensor& inputY = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">auto</span> outputHandle = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  arm_compute::ICLTensor& output = outputHandle->GetTensor();</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>  <span class="comment">// GeMM dispatches kernel handles dynamic inputs differently to static so this flag needs to be set</span></div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  inputX.info()->set_are_values_constant(<span class="keyword">false</span>);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  inputY.info()->set_are_values_constant(<span class="keyword">false</span>);</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="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</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>  arm_compute::MatMulInfo matMulInfo;</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  matMulInfo.adj_lhs(descriptor.m_Parameters.m_TransposeX);</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  matMulInfo.adj_rhs(descriptor.m_Parameters.m_TransposeY);</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  matMulInfo.fused_activation(activationInfo);</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>  m_MatMulLayer.configure(clCompileContext, &inputX, &inputY, &output, matMulInfo);</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">// Report Profiling Details</span></div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  WorkloadInfo detailsInfo;</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  detailsInfo.m_InputTensorInfos = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos;</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  detailsInfo.m_OutputTensorInfos = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos;</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClBatchMatMulWorkload_Construct"</span>,</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  descriptor.m_Parameters,</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  detailsInfo,</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_profiling_8hpp_source.xhtml#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01564">BatchMatMulDescriptor::m_AdjointX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01565">BatchMatMulDescriptor::m_AdjointY</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00083">BaseWorkload< BatchMatMulQueueDescriptor >::m_Data</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01568">BatchMatMulDescriptor::m_DataLayoutX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01569">BatchMatMulDescriptor::m_DataLayoutY</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00475">QueueDescriptor::ValidateInputsOutputs()</a>.</p> +<p class="reference">References <a class="el" href="_profiling_8hpp_source.xhtml#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="_arm_compute_utils_8hpp_source.xhtml#l00103">armnn::ConvertAdditionalInfoToAclActivationLayerInfo()</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00061">BaseWorkload< BatchMatMulQueueDescriptor >::GetGuid()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01584">BatchMatMulDescriptor::m_AdjointX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01585">BatchMatMulDescriptor::m_AdjointY</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00083">BaseWorkload< BatchMatMulQueueDescriptor >::m_Data</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01588">BatchMatMulDescriptor::m_DataLayoutX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01589">BatchMatMulDescriptor::m_DataLayoutY</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01579">BatchMatMulDescriptor::m_TransposeX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01580">BatchMatMulDescriptor::m_TransposeY</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00472">QueueDescriptor::ValidateInputsOutputs()</a>.</p> </div> </div> @@ -323,21 +282,13 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml#l00207">207</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml">ClBatchMatMulWorkload.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div> -<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>(<span class="stringliteral">"ClBatchMatMulWorkload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> -<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">if</span> (m_PermuteLayerX)</div> -<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div> -<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  m_PermuteLayerX->run();</div> -<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div> -<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">if</span> (m_PermuteLayerY)</div> -<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div> -<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  m_PermuteLayerY->run();</div> -<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div> -<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  m_GEMMLayer->run();</div> -<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml#l00108">108</a> of file <a class="el" href="_cl_batch_mat_mul_workload_8cpp_source.xhtml">ClBatchMatMulWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>(<span class="stringliteral">"ClBatchMatMulWorkload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_MatMulLayer, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.xhtml#l00028">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>, and <a class="el" href="_workload_8hpp_source.xhtml#l00061">BaseWorkload< BatchMatMulQueueDescriptor >::GetGuid()</a>.</p> +<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.xhtml#l00028">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00203">CHECK_LOCATION</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00061">BaseWorkload< BatchMatMulQueueDescriptor >::GetGuid()</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.xhtml#l00160">armnn::RunClFunction()</a>.</p> </div> </div> @@ -348,19 +299,13 @@ Additional Inherited Members</h2></td></tr> </div><!-- contents --> </div><!-- doc-content --> <div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload< BatchMatMulQueueDescriptor >::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00061">Workload.hpp:61</a></div></div> -<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00475">WorkloadData.cpp:475</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00472">WorkloadData.cpp:472</a></div></div> +<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> <div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< BatchMatMulQueueDescriptor >::m_Data</a></div><div class="ttdeci">BatchMatMulQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00083">Workload.hpp:83</a></div></div> -<div class="ttc" id="anamespacearmnn_utils_xhtml_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00098">Permute.cpp:98</a></div></div> <div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div> -<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">DataLayout m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01568">Descriptors.hpp:1568</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> -<div class="ttc" id="anamespacearmnn_xhtml_a15e2ba06d2ecd7ff6013118838e5d1be"><div class="ttname"><a href="namespacearmnn.xhtml#a15e2ba06d2ecd7ff6013118838e5d1be">armnn::GeneratePermutationVectorOnLastTwoDimensions</a></div><div class="ttdeci">armnn::PermutationVector GeneratePermutationVectorOnLastTwoDimensions(unsigned int rank)</div><div class="ttdoc">Generates a permutation vector of size rank that permutes the 2 most right dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.xhtml#l00344">WorkloadUtils.cpp:344</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="anamespacearmnn_utils_xhtml_a2bff2aae3ae824ff74ba550488373886"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a2bff2aae3ae824ff74ba550488373886">armnnUtils::ReduceDims</a></div><div class="ttdeci">armnn::TensorShape ReduceDims(const armnn::TensorShape &tensorInfo, unsigned int dimensions)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.xhtml#l00106">TensorUtils.cpp:106</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00295">Types.hpp:295</a></div></div> -<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00160">ClWorkloadUtils.hpp:160</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00103">ArmComputeUtils.hpp:103</a></div></div> <div class="ttc" id="a_profiling_8hpp_xhtml_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.xhtml#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.xhtml#l00227">Profiling.hpp:227</a></div></div> -<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">DataLayout m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01569">Descriptors.hpp:1569</a></div></div> <div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00027">WorkloadData.hpp:27</a></div></div> <div class="ttc" id="a_cl_workload_utils_8hpp_xhtml_ae96fe8349d05e83e891129d63d8e2263"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00028">ClWorkloadUtils.hpp:28</a></div></div> <div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div> @@ -369,7 +314,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.xhtml">ClBatchMatMulWorkload</a></li> - <li class="footer">Generated on Wed Mar 22 2023 15:53:04 for ArmNN by + <li class="footer">Generated on Thu May 18 2023 10:35:45 for ArmNN by <a href="http://www.doxygen.org/index.html"> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> </ul> |