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+<div class="title">ClBatchMatMulWorkload.cpp</div>  </div>
+</div><!--header-->
+<div class="contents">
+<a href="_cl_batch_mat_mul_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160; </div>
+<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_batch_mat_mul_workload_8hpp.html">ClBatchMatMulWorkload.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160; </div>
+<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
+<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
+<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
+<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_utils_8hpp.html">backendsCommon/WorkloadUtils.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
+<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160; </div>
+<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;arm_compute/function_info/MatMulInfo.h&gt;</span></div>
+<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160; </div>
+<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
+<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;{</div>
+<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160; </div>
+<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a21911dfddb6d7787c7afcdc5fc25d4a7">   24</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a21911dfddb6d7787c7afcdc5fc25d4a7">ClBatchMatMulValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfoX,</div>
+<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                                          <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfoY,</div>
+<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;                                          <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo,</div>
+<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                                          <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a>&amp; descriptor,</div>
+<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                                          <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</div>
+<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;{</div>
+<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a> || descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a> )</div>
+<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    {</div>
+<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">Exception</a>(<span class="stringliteral">&quot;Support for adjoint not implemented.&quot;</span>);</div>
+<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    }</div>
+<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a> != <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> || descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a> != <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a> )</div>
+<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    {</div>
+<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">Exception</a>(<span class="stringliteral">&quot;Only supported the MatMul in the last 2 dimensions&quot;</span>);</div>
+<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    }</div>
+<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160; </div>
+<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    arm_compute::TensorInfo aclInputInfoX = armcomputetensorutils::BuildArmComputeTensorInfo(inputInfoX);</div>
+<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    arm_compute::TensorInfo aclInputInfoY = armcomputetensorutils::BuildArmComputeTensorInfo(inputInfoY);</div>
+<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(outputInfo);</div>
+<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
+<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <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="l00044"></a><span class="lineno">   44</span>&#160;    aclInputInfoX.set_are_values_constant(<span class="keyword">false</span>);</div>
+<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    aclInputInfoY.set_are_values_constant(<span class="keyword">false</span>);</div>
+<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160; </div>
+<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(</div>
+<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;            activationDescriptor);</div>
+<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160; </div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    arm_compute::MatMulInfo matMulInfo;</div>
+<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    matMulInfo.adj_lhs(descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>);</div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    matMulInfo.adj_rhs(descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>);</div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
+<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordflow">return</span> arm_compute::CLMatMul::validate(&amp;aclInputInfoX, &amp;aclInputInfoY, &amp;aclOutputInfo, matMulInfo, activationInfo);</div>
+<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;}</div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; </div>
+<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#acfe62a711ddf54011cb8c34f878de2ac">   57</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#acfe62a711ddf54011cb8c34f878de2ac">ClBatchMatMulWorkload::ClBatchMatMulWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html">BatchMatMulQueueDescriptor</a>&amp; descriptor,</div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                                             <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info,</div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                                             <span class="keyword">const</span> arm_compute::CLCompileContext&amp; clCompileContext)</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html">BatchMatMulQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
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+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="comment">// Report Profiling Details</span></div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClBatchMatMulWorkload_Construct&quot;</span>,</div>
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+<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    arm_compute::ICLTensor&amp; inputX = PolymorphicDowncast&lt;ClTensorHandle*&gt;(<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])-&gt;GetTensor();</div>
+<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    arm_compute::ICLTensor&amp; inputY = PolymorphicDowncast&lt;ClTensorHandle*&gt;(<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])-&gt;GetTensor();</div>
+<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keyword">auto</span> outputHandle = PolymorphicDowncast&lt;ClTensorHandle*&gt;(<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]);</div>
+<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    arm_compute::ICLTensor&amp; output = outputHandle-&gt;GetTensor();</div>
+<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160; </div>
+<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <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>&#160;    inputX.info()-&gt;set_are_values_constant(<span class="keyword">false</span>);</div>
+<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    inputY.info()-&gt;set_are_values_constant(<span class="keyword">false</span>);</div>
+<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160; </div>
+<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
+<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160; </div>
+<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    arm_compute::MatMulInfo matMulInfo;</div>
+<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    matMulInfo.adj_lhs(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>);</div>
+<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    matMulInfo.adj_rhs(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>);</div>
+<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160; </div>
+<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    arm_compute::GpuMatMulSettings settings;</div>
+<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160; </div>
+<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    m_MatMulLayer.configure(clCompileContext, &amp;inputX, &amp;inputY, &amp;output, matMulInfo, settings, activationInfo);</div>
+<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160; </div>
+<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="comment">// Report Profiling Details</span></div>
+<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> detailsInfo;</div>
+<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    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="l00102"></a><span class="lineno">  102</span>&#160;    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="l00103"></a><span class="lineno">  103</span>&#160;    <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClBatchMatMulWorkload_Construct&quot;</span>,</div>
+<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                                         descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
+<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                                         detailsInfo,</div>
+<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                                         <a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
+<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;}</div>
+<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
+<div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">  109</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload::Execute</a>()<span class="keyword"> const</span></div>
+<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClBatchMatMulWorkload_Execute&quot;</span>);</div>
+<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_MatMulLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;}</div>
+<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;} <span class="comment">//namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="anamespacearmnn_html_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &amp;function, const CheckLocation &amp;location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00168">ClWorkloadUtils.hpp:168</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html">armnn::BatchMatMulQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00748">WorkloadData.hpp:748</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">bool m_TransposeX</div><div class="ttdoc">Transpose the slices of each input tensor Transpose and Adjoint can not both be set to true for the s...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01591">Descriptors.hpp:1591</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">bool m_AdjointX</div><div class="ttdoc">Adjoint the slices of each input tensor Transpose and Adjoint can not both be set to true for the sam...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01596">Descriptors.hpp:1596</a></div></div>
+<div class="ttc" id="a_workload_utils_8hpp_html"><div class="ttname"><a href="_workload_utils_8hpp.html">WorkloadUtils.hpp</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 &amp;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 &amp;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="astructarmnn_1_1_batch_mat_mul_descriptor_html_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01600">Descriptors.hpp:1600</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</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_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">bool m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01597">Descriptors.hpp:1597</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_cl_batch_mat_mul_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_batch_mat_mul_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClBatchMatMulWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_mat_mul_workload_8cpp_source.html#l00109">ClBatchMatMulWorkload.cpp:109</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&lt; TensorInfo &gt; 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="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">bool m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01592">Descriptors.hpp:1592</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="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div>
+<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01601">Descriptors.hpp:1601</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01563">Descriptors.hpp:1563</a></div></div>
+<div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a21911dfddb6d7787c7afcdc5fc25d4a7"><div class="ttname"><a href="namespacearmnn.html#a21911dfddb6d7787c7afcdc5fc25d4a7">armnn::ClBatchMatMulValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchMatMulValidate(const TensorInfo &amp;inputInfoX, const TensorInfo &amp;inputInfoY, const TensorInfo &amp;outputInfo, const BatchMatMulDescriptor &amp;descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_mat_mul_workload_8cpp_source.html#l00024">ClBatchMatMulWorkload.cpp:24</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="anamespacearmnn_html_ad701d0d29baa4266ab4d33b090aa661c"><div class="ttname"><a href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">armnn::ConvertActivationDescriptorToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &amp;actDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00085">ArmComputeUtils.hpp:85</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&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_cl_batch_mat_mul_workload_html_acfe62a711ddf54011cb8c34f878de2ac"><div class="ttname"><a href="classarmnn_1_1_cl_batch_mat_mul_workload.html#acfe62a711ddf54011cb8c34f878de2ac">armnn::ClBatchMatMulWorkload::ClBatchMatMulWorkload</a></div><div class="ttdeci">ClBatchMatMulWorkload(const BatchMatMulQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, const arm_compute::CLCompileContext &amp;clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_mat_mul_workload_8cpp_source.html#l00057">ClBatchMatMulWorkload.cpp:57</a></div></div>
+<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_base_workload_html_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload&lt; BatchMatMulQueueDescriptor &gt;::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00067">Workload.hpp:67</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
+<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
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+<div class="ttc" id="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
+<div class="ttc" id="a_cl_batch_mat_mul_workload_8hpp_html"><div class="ttname"><a href="_cl_batch_mat_mul_workload_8hpp.html">ClBatchMatMulWorkload.hpp</a></div></div>
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