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authorNikhil Raj <nikhil.raj@arm.com>2023-05-19 11:14:28 +0100
committerNikhil Raj <nikhil.raj@arm.com>2023-05-19 11:14:28 +0100
commit8efb48a6847c5cd166c561127ae6611150963ce3 (patch)
treef4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/_batch_mat_mul_layer_8cpp_source.xhtml
parent023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff)
downloadarmnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
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+<div class="title">BatchMatMulLayer.cpp</div> </div>
+</div><!--header-->
+<div class="contents">
+<a href="_batch_mat_mul_layer_8cpp.xhtml">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 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;<span class="preprocessor">#include &quot;<a class="code" href="_batch_mat_mul_layer_8hpp.xhtml">BatchMatMulLayer.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
+<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_clone_base_8hpp.xhtml">layers/LayerCloneBase.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
+<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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; </div>
+<div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adaa2e073b65919375724109581b751c0"> 14</a></span>&#160;<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adaa2e073b65919375724109581b751c0">BatchMatMulLayer::BatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a>(2, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml">BatchMatMul</a>, param, name)</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; </div>
+<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 18</a></span>&#160;std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">BatchMatMulLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>&amp; factory)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.xhtml">BatchMatMulQueueDescriptor</a> descriptor;</div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</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; <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;}</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
+<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a5a344fd448ac4673a1e63549b54bc181"> 26</a></span>&#160;<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml">BatchMatMulLayer</a>* <a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a5a344fd448ac4673a1e63549b54bc181">BatchMatMulLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>&amp; graph)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;BatchMatMulLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</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">return</span> std::move(layer);</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; </div>
+<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 33</a></span>&#160;std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a65ca562c882ad619684445a1402f415a">BatchMatMulLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 2);</div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; </div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputXShape = inputShapes[0];</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputYShape = inputShapes[1];</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="comment">// Adjoint is assumed to be square, but we will apply the permute anyway</span></div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a> || <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>)</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="keyword">auto</span> permuteVec = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a85e74c2aeaf6fc124e9582329a82d72b">BatchMatMulDescriptor::GetPermuteVec</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>,</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; inputXShape);</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; inputXShape = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputXShape, permuteVec);</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="keywordflow">if</span>(<a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a> || <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>)</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">auto</span> permuteVec = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a85e74c2aeaf6fc124e9582329a82d72b">BatchMatMulDescriptor::GetPermuteVec</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>,</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; inputYShape);</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; inputYShape = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputYShape, permuteVec);</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; }</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; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; longerInput = inputXShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt;= inputYShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()?</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; inputXShape : inputYShape;</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shorterInput = inputXShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt;= inputYShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()?</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; inputYShape : inputXShape;</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; </div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputNumDimsOffset = longerInput.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - shorterInput.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputNumDimensions = longerInput.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; std::vector&lt;unsigned int&gt; tensorDimensions(outputNumDimensions, 0);</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; </div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; longerInputDataLayout = inputXShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt;= inputYShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()?</div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a> : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>;</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">auto</span> longerAxesToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">BatchMatMulDescriptor::GetAxesToMul</a>(longerInputDataLayout,</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; longerInput);</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; outputNumDimensions; ++i)</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; {</div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span> (i == longerAxesToMul.first)</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; tensorDimensions[i] = &amp;shorterInput == &amp;inputXShape ? inputXShape[i - inputNumDimsOffset] : inputXShape[i];</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span>(i == longerAxesToMul.second)</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; {</div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; tensorDimensions[i] = &amp;shorterInput == &amp;inputYShape ? inputYShape[i - inputNumDimsOffset] : inputYShape[i];</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">else</span> <span class="comment">// The other dimensions not to be multiplied (but may be broadcasted)</span></div>
+<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="comment">// Does NOT validate whether it&#39;s a valid broadcast - that&#39;s done in the validate func in WorkloadData.cpp</span></div>
+<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; tensorDimensions[i] = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(i) - <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(inputNumDimsOffset) &lt; 0 ?</div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; longerInput[i] :</div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::max(longerInput[i], shorterInput[i - inputNumDimsOffset]);</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; }</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</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">auto</span> outputShape = <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>(outputNumDimensions, tensorDimensions.data());</div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ outputShape });</div>
+<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;}</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
+<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 93</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">BatchMatMulLayer::ValidateTensorShapesFromInputs</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; <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(2, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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; <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;BatchMatMulLayer&quot;</span>);</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"> 109</span>&#160; </div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;} <span class="comment">// namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#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.xhtml#l01579">Descriptors.hpp:1579</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml_a5a344fd448ac4673a1e63549b54bc181"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a5a344fd448ac4673a1e63549b54bc181">armnn::BatchMatMulLayer::Clone</a></div><div class="ttdeci">BatchMatMulLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8cpp_source.xhtml#l00026">BatchMatMulLayer.cpp:26</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="astructarmnn_1_1_batch_mat_mul_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_queue_descriptor.xhtml">armnn::BatchMatMulQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00748">WorkloadData.hpp:748</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::BatchMatMulLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shapes will lead to a valid configuration of BatchMatMulLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8cpp_source.xhtml#l00093">BatchMatMulLayer.cpp:93</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00378">Layer.cpp:378</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_xhtml_a9e3eee087babbe637e77f85404b9d761"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00206">Layer.hpp:206</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">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.xhtml#l01551">Descriptors.hpp:1551</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00014">LayerWithParameters.hpp:14</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00491">Layer.cpp:491</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::BatchMatMulLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the BatchMatMul type.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8cpp_source.xhtml#l00018">BatchMatMulLayer.cpp:18</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
+<div class="ttc" id="a_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00427">Layer.hpp:427</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00422">Layer.cpp:422</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</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 &amp;srcShape, const armnn::PermutationVector &amp;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="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00479">Types.hpp:479</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></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#l01588">Descriptors.hpp:1588</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; BatchMatMulDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters.hpp:44</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#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.xhtml#l01580">Descriptors.hpp:1580</a></div></div>
+<div class="ttc" id="a_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="a_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div>
+<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::BatchMatMulLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infers the output shape from the given input shapes.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8cpp_source.xhtml#l00033">BatchMatMulLayer.cpp:33</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#l01589">Descriptors.hpp:1589</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01590">WorkloadFactory.cpp:1590</a></div></div>
+<div class="ttc" id="a_batch_mat_mul_layer_8hpp_xhtml"><div class="ttname"><a href="_batch_mat_mul_layer_8hpp.xhtml">BatchMatMulLayer.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml">armnn::BatchMatMulLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8hpp_source.xhtml#l00013">BatchMatMulLayer.hpp:13</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a85e74c2aeaf6fc124e9582329a82d72b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a85e74c2aeaf6fc124e9582329a82d72b">armnn::BatchMatMulDescriptor::GetPermuteVec</a></div><div class="ttdeci">static PermutationVector GetPermuteVec(DataLayout dataLayout, const TensorShape &amp;tensorShape)</div><div class="ttdoc">Static helper to get the axes which will be transposed.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00514">Descriptors.cpp:514</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; BatchMatMulDescriptor &gt;::m_Param</a></div><div class="ttdeci">BatchMatMulDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters.hpp:52</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#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.xhtml#l01585">Descriptors.hpp:1585</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#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.xhtml#l01584">Descriptors.hpp:1584</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml_adaa2e073b65919375724109581b751c0"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml#adaa2e073b65919375724109581b751c0">armnn::BatchMatMulLayer::BatchMatMulLayer</a></div><div class="ttdeci">BatchMatMulLayer(const BatchMatMulDescriptor &amp;param, const char *name)</div><div class="ttdoc">Constructor to create a BatchMatMulLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8cpp_source.xhtml#l00014">BatchMatMulLayer.cpp:14</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_adea0557f6519a2d7f1f1424e3de0fc4a"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">armnn::BatchMatMulDescriptor::GetAxesToMul</a></div><div class="ttdeci">static std::pair&lt; std::pair&lt; unsigned int, unsigned int &gt;, std::pair&lt; unsigned int, unsigned int &gt; &gt; GetAxesToMul(const BatchMatMulDescriptor &amp;desc, const TensorShape &amp;tensorXShape, const TensorShape &amp;tensorYShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00459">Descriptors.cpp:459</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml">armnn::BatchMatMul</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00016">BatchMatMulImpl.hpp:16</a></div></div>
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