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<!-- Copyright (c) 2020 ARM Limited. -->
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<a href="#pub-methods">Public Member Functions</a> |
<a href="#pub-static-methods">Static Public Member Functions</a> |
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<a href="structarmnn_1_1_batch_mat_mul_descriptor-members.xhtml">List of all members</a> </div>
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<div class="title">BatchMatMulDescriptor Struct Reference</div> </div>
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<p>A <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml" title="A BatchMatMulDescriptor for the BatchMatMul operator. ">BatchMatMulDescriptor</a> for the <a class="el" href="classarmnn_1_1_batch_mat_mul.xhtml">BatchMatMul</a> operator.
<a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#details">More...</a></p>
<p><code>#include <<a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>></code></p>
<div class="dynheader">
Inheritance diagram for BatchMatMulDescriptor:</div>
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<img src="structarmnn_1_1_batch_mat_mul_descriptor.png" usemap="#BatchMatMulDescriptor_map" alt=""/>
<map id="BatchMatMulDescriptor_map" name="BatchMatMulDescriptor_map">
<area href="structarmnn_1_1_base_descriptor.xhtml" title="Base class for all descriptors. " alt="BaseDescriptor" shape="rect" coords="0,0,145,24"/>
</map>
</div></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a5df5f9a21590b80c477e3ee2fba9f1e0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5df5f9a21590b80c477e3ee2fba9f1e0">BatchMatMulDescriptor</a> (<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > dataLayoutX=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(), <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > dataLayoutY=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(), std::vector< unsigned int > transposeX={}, std::vector< unsigned int > transposeY={}, std::vector< unsigned int > adjointX={}, std::vector< unsigned int > adjointY={})</td></tr>
<tr class="separator:a5df5f9a21590b80c477e3ee2fba9f1e0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5c02af4929fee7377b0c8e0410044582"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5c02af4929fee7377b0c8e0410044582">operator==</a> (const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &rhs) const</td></tr>
<tr class="separator:a5c02af4929fee7377b0c8e0410044582"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_methods_structarmnn_1_1_base_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_structarmnn_1_1_base_descriptor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></td></tr>
<tr class="memitem:ac618666b3c6d65d2c88bcbb7abeed343 inherit pub_methods_structarmnn_1_1_base_descriptor"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">IsNull</a> () const</td></tr>
<tr class="separator:ac618666b3c6d65d2c88bcbb7abeed343 inherit pub_methods_structarmnn_1_1_base_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5e0f82ef2f18eb897e6d6f1845e74033 inherit pub_methods_structarmnn_1_1_base_descriptor"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_base_descriptor.xhtml#a5e0f82ef2f18eb897e6d6f1845e74033">~BaseDescriptor</a> ()=default</td></tr>
<tr class="separator:a5e0f82ef2f18eb897e6d6f1845e74033 inherit pub_methods_structarmnn_1_1_base_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:adea0557f6519a2d7f1f1424e3de0fc4a"><td class="memItemLeft" align="right" valign="top">static std::pair< std::pair< unsigned int, unsigned int >, std::pair< unsigned int, unsigned int > > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">GetAxesToMul</a> (const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &desc, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &tensorXShape, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &tensorYShape)</td></tr>
<tr class="memdesc:adea0557f6519a2d7f1f1424e3de0fc4a"><td class="mdescLeft"> </td><td class="mdescRight">Static helper to get the two axes (for each input) for multiplication. <a href="#adea0557f6519a2d7f1f1424e3de0fc4a">More...</a><br /></td></tr>
<tr class="separator:adea0557f6519a2d7f1f1424e3de0fc4a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aed81894ad76effd38e1d871af4db0a59"><td class="memItemLeft" align="right" valign="top">static std::pair< std::vector< unsigned int >, std::vector< unsigned int > > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aed81894ad76effd38e1d871af4db0a59">GetAxesNotMul</a> (const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &desc, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &inputXShape, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &inputYShape)</td></tr>
<tr class="memdesc:aed81894ad76effd38e1d871af4db0a59"><td class="mdescLeft"> </td><td class="mdescRight">Static helper to get the axes (for each input) that will not be multiplied together. <a href="#aed81894ad76effd38e1d871af4db0a59">More...</a><br /></td></tr>
<tr class="separator:aed81894ad76effd38e1d871af4db0a59"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a9b2df0866e0357bc75a0fd7c90d44507"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a9b2df0866e0357bc75a0fd7c90d44507">m_DataLayoutX</a></td></tr>
<tr class="memdesc:a9b2df0866e0357bc75a0fd7c90d44507"><td class="mdescLeft"> </td><td class="mdescRight">Data layout of each input tensor, such as NHWC/NDHWC (or leave as <a class="el" href="structarmnn_1_1_empty_optional.xhtml" title="EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...">EmptyOptional</a> for arbitrary layout) <a href="#a9b2df0866e0357bc75a0fd7c90d44507">More...</a><br /></td></tr>
<tr class="separator:a9b2df0866e0357bc75a0fd7c90d44507"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af4745eb41553ae692e9f4e4c60a09ad4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#af4745eb41553ae692e9f4e4c60a09ad4">m_DataLayoutY</a></td></tr>
<tr class="separator:af4745eb41553ae692e9f4e4c60a09ad4"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad4f84ac313deb87dd60228a9de776c2f"><td class="memItemLeft" align="right" valign="top">std::vector< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad4f84ac313deb87dd60228a9de776c2f">m_TransposeX</a></td></tr>
<tr class="memdesc:ad4f84ac313deb87dd60228a9de776c2f"><td class="mdescLeft"> </td><td class="mdescRight">Transpose vector for each input tensor (leave as empty vector for no pre-transposing) Transpose and Adjoint can not both be set to true for the same tensor at the same time. <a href="#ad4f84ac313deb87dd60228a9de776c2f">More...</a><br /></td></tr>
<tr class="separator:ad4f84ac313deb87dd60228a9de776c2f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac22dca50f969e331f9b0e438e9f2d3f2"><td class="memItemLeft" align="right" valign="top">std::vector< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac22dca50f969e331f9b0e438e9f2d3f2">m_TransposeY</a></td></tr>
<tr class="separator:ac22dca50f969e331f9b0e438e9f2d3f2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac69ad3b01c5319a631941dd3a0abdfb5"><td class="memItemLeft" align="right" valign="top">std::vector< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac69ad3b01c5319a631941dd3a0abdfb5">m_AdjointX</a></td></tr>
<tr class="memdesc:ac69ad3b01c5319a631941dd3a0abdfb5"><td class="mdescLeft"> </td><td class="mdescRight">Adjoint vector for each input tensor (leave as empty vector for no pre-adjoint) Transpose and Adjoint can not both be set to true for the same tensor at the same time. <a href="#ac69ad3b01c5319a631941dd3a0abdfb5">More...</a><br /></td></tr>
<tr class="separator:ac69ad3b01c5319a631941dd3a0abdfb5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:afe2868b58a12296713f650200ecdd418"><td class="memItemLeft" align="right" valign="top">std::vector< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afe2868b58a12296713f650200ecdd418">m_AdjointY</a></td></tr>
<tr class="separator:afe2868b58a12296713f650200ecdd418"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>A <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml" title="A BatchMatMulDescriptor for the BatchMatMul operator. ">BatchMatMulDescriptor</a> for the <a class="el" href="classarmnn_1_1_batch_mat_mul.xhtml">BatchMatMul</a> operator. </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01554">1554</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="a5df5f9a21590b80c477e3ee2fba9f1e0"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5df5f9a21590b80c477e3ee2fba9f1e0">◆ </a></span>BatchMatMulDescriptor()</h2>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
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<table class="memname">
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<td class="memname"><a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > </td>
<td class="paramname"><em>dataLayoutX</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> > </td>
<td class="paramname"><em>dataLayoutY</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< unsigned int > </td>
<td class="paramname"><em>transposeX</em> = <code>{}</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< unsigned int > </td>
<td class="paramname"><em>transposeY</em> = <code>{}</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< unsigned int > </td>
<td class="paramname"><em>adjointX</em> = <code>{}</code>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< unsigned int > </td>
<td class="paramname"><em>adjointY</em> = <code>{}</code> </td>
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<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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<span class="mlabels"><span class="mlabel">inline</span></span> </td>
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<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01556">1556</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  {},</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  std::vector<unsigned int> transposeY = {},</div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  std::vector<unsigned int> adjointX = {},</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  std::vector<unsigned int> adjointY = {})</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  : <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a9b2df0866e0357bc75a0fd7c90d44507">m_DataLayoutX</a>(dataLayoutX)</div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#af4745eb41553ae692e9f4e4c60a09ad4">m_DataLayoutY</a>(dataLayoutY)</div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad4f84ac313deb87dd60228a9de776c2f">m_TransposeX</a>(transposeX)</div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac22dca50f969e331f9b0e438e9f2d3f2">m_TransposeY</a>(transposeY)</div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac69ad3b01c5319a631941dd3a0abdfb5">m_AdjointX</a>(adjointX)</div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afe2868b58a12296713f650200ecdd418">m_AdjointY</a>(adjointY)</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  {}</div><div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_a9b2df0866e0357bc75a0fd7c90d44507"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a9b2df0866e0357bc75a0fd7c90d44507">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">Optional< DataLayout > m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (or leave as EmptyOptional for arbitrary layout)...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01581">Descriptors.hpp:1581</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ad4f84ac313deb87dd60228a9de776c2f"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad4f84ac313deb87dd60228a9de776c2f">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">std::vector< unsigned int > m_TransposeX</div><div class="ttdoc">Transpose vector for each input tensor (leave as empty vector for no pre-transposing) Transpose and A...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01586">Descriptors.hpp:1586</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ac69ad3b01c5319a631941dd3a0abdfb5"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac69ad3b01c5319a631941dd3a0abdfb5">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">std::vector< unsigned int > m_AdjointX</div><div class="ttdoc">Adjoint vector for each input tensor (leave as empty vector for no pre-adjoint) Transpose and Adjoint...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01591">Descriptors.hpp:1591</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ac22dca50f969e331f9b0e438e9f2d3f2"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac22dca50f969e331f9b0e438e9f2d3f2">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">std::vector< unsigned int > m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01587">Descriptors.hpp:1587</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_afe2868b58a12296713f650200ecdd418"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afe2868b58a12296713f650200ecdd418">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">std::vector< unsigned int > m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01592">Descriptors.hpp:1592</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_af4745eb41553ae692e9f4e4c60a09ad4"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#af4745eb41553ae692e9f4e4c60a09ad4">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">Optional< DataLayout > m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01582">Descriptors.hpp:1582</a></div></div>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#aed81894ad76effd38e1d871af4db0a59">◆ </a></span>GetAxesNotMul()</h2>
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<td class="memname">std::pair< std::vector< unsigned int >, std::vector< unsigned int > > GetAxesNotMul </td>
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<p>Static helper to get the axes (for each input) that will not be multiplied together. </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8cpp_source.xhtml#l00508">508</a> of file <a class="el" href="_descriptors_8cpp_source.xhtml">Descriptors.cpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8cpp_source.xhtml#l00459">BatchMatMulDescriptor::GetAxesToMul()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l04146">BatchMatMulQueueDescriptor::Validate()</a>.</p>
<div class="fragment"><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// May refactor to just work on one input per call - makes it less confusing and also</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// allows more flexibility (i.e. in Layer output shape inference)</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">auto</span> axesToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">BatchMatMulDescriptor::GetAxesToMul</a>(desc, inputXShape, inputYShape);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  std::vector<unsigned int> axesXNotMul;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  std::vector<unsigned int> axesYNotMul;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputXShape.GetNumDimensions(); i++)</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">if</span>(i == axesToMul.first.first || i == axesToMul.first.second)</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  axesXNotMul.push_back(i);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputYShape.GetNumDimensions(); i++)</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  {</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">if</span>(i == axesToMul.second.first || i == axesToMul.second.second)</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  }</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  axesYNotMul.push_back(i);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> { axesXNotMul, axesYNotMul };</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> }</div><div class="ttc" id="structarmnn_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< std::pair< unsigned int, unsigned int >, std::pair< unsigned int, unsigned int > > GetAxesToMul(const BatchMatMulDescriptor &desc, const TensorShape &tensorXShape, const TensorShape &tensorYShape)</div><div class="ttdoc">Static helper to get the two axes (for each input) for multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00459">Descriptors.cpp:459</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#adea0557f6519a2d7f1f1424e3de0fc4a">◆ </a></span>GetAxesToMul()</h2>
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<td class="memname">std::pair< std::pair< unsigned int, unsigned int >, std::pair< unsigned int, unsigned int > > GetAxesToMul </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> & </td>
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<p>Static helper to get the two axes (for each input) for multiplication. </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8cpp_source.xhtml#l00459">459</a> of file <a class="el" href="_descriptors_8cpp_source.xhtml">Descriptors.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01581">BatchMatMulDescriptor::m_DataLayoutX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01582">BatchMatMulDescriptor::m_DataLayoutY</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::NCDHW</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::NDHWC</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< IsReference, T >::value()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8cpp_source.xhtml#l00508">BatchMatMulDescriptor::GetAxesNotMul()</a>, <a class="el" href="_batch_mat_mul_layer_8cpp_source.xhtml#l00032">BatchMatMulLayer::InferOutputShapes()</a>, <a class="el" href="_batch_mat_mul_impl_8cpp_source.xhtml#l00029">BatchMatMul::RecurseBMM()</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l04146">BatchMatMulQueueDescriptor::Validate()</a>.</p>
<div class="fragment"><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> {</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// May refactor to just work on one input per call - makes it less confusing and also</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// allows more flexibility (i.e. in Layer output shape inference)</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">auto</span> xNumDims = tensorXShape.GetNumDimensions();</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">auto</span> yNumDims = tensorYShape.GetNumDimensions();</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  std::pair<unsigned int, unsigned int> xAxes = { xNumDims-2, xNumDims-1 };</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  std::pair<unsigned int, unsigned int> yAxes = { yNumDims-2, yNumDims-1 };</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">if</span>(desc.m_DataLayoutX.has_value())</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">switch</span>(desc.m_DataLayoutX.value())</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>:</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  xAxes.first -= 1;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  xAxes.second -= 1;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>:</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">if</span>(desc.m_DataLayoutY.has_value())</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">switch</span>(desc.m_DataLayoutY.value())</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>:</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  yAxes.first -= 1;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  yAxes.second -= 1;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>:</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">return</span> { xAxes, yAxes};</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::DataLayout::NCDHW</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a5c02af4929fee7377b0c8e0410044582">◆ </a></span>operator==()</h2>
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<td class="memname">bool operator== </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">1570</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01591">BatchMatMulDescriptor::m_AdjointX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01592">BatchMatMulDescriptor::m_AdjointY</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01581">BatchMatMulDescriptor::m_DataLayoutX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01582">BatchMatMulDescriptor::m_DataLayoutY</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01586">BatchMatMulDescriptor::m_TransposeX</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01587">BatchMatMulDescriptor::m_TransposeY</a>.</p>
<div class="fragment"><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  {</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a9b2df0866e0357bc75a0fd7c90d44507">m_DataLayoutX</a> == rhs.m_DataLayoutX &&</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#af4745eb41553ae692e9f4e4c60a09ad4">m_DataLayoutY</a> == rhs.m_DataLayoutY &&</div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad4f84ac313deb87dd60228a9de776c2f">m_TransposeX</a> == rhs.m_TransposeX &&</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac22dca50f969e331f9b0e438e9f2d3f2">m_TransposeY</a> == rhs.m_TransposeY &&</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac69ad3b01c5319a631941dd3a0abdfb5">m_AdjointX</a> == rhs.m_AdjointX &&</div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afe2868b58a12296713f650200ecdd418">m_AdjointY</a> == rhs.m_AdjointY;</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  }</div><div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_a9b2df0866e0357bc75a0fd7c90d44507"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a9b2df0866e0357bc75a0fd7c90d44507">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">Optional< DataLayout > m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (or leave as EmptyOptional for arbitrary layout)...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01581">Descriptors.hpp:1581</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ad4f84ac313deb87dd60228a9de776c2f"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad4f84ac313deb87dd60228a9de776c2f">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">std::vector< unsigned int > m_TransposeX</div><div class="ttdoc">Transpose vector for each input tensor (leave as empty vector for no pre-transposing) Transpose and A...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01586">Descriptors.hpp:1586</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ac69ad3b01c5319a631941dd3a0abdfb5"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac69ad3b01c5319a631941dd3a0abdfb5">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">std::vector< unsigned int > m_AdjointX</div><div class="ttdoc">Adjoint vector for each input tensor (leave as empty vector for no pre-adjoint) Transpose and Adjoint...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01591">Descriptors.hpp:1591</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ac22dca50f969e331f9b0e438e9f2d3f2"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ac22dca50f969e331f9b0e438e9f2d3f2">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">std::vector< unsigned int > m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01587">Descriptors.hpp:1587</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_afe2868b58a12296713f650200ecdd418"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afe2868b58a12296713f650200ecdd418">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">std::vector< unsigned int > m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01592">Descriptors.hpp:1592</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_af4745eb41553ae692e9f4e4c60a09ad4"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#af4745eb41553ae692e9f4e4c60a09ad4">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">Optional< DataLayout > m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01582">Descriptors.hpp:1582</a></div></div>
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<h2 class="groupheader">Member Data Documentation</h2>
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<p>Adjoint vector for each input tensor (leave as empty vector for no pre-adjoint) Transpose and Adjoint can not both be set to true for the same tensor at the same time. </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01591">1591</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01592">1592</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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<td class="memname"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a><<a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>> m_DataLayoutX</td>
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<p>Data layout of each input tensor, such as NHWC/NDHWC (or leave as <a class="el" href="structarmnn_1_1_empty_optional.xhtml" title="EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...">EmptyOptional</a> for arbitrary layout) </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01581">1581</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8cpp_source.xhtml#l00459">BatchMatMulDescriptor::GetAxesToMul()</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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<td class="memname"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a><<a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>> m_DataLayoutY</td>
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<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01582">1582</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8cpp_source.xhtml#l00459">BatchMatMulDescriptor::GetAxesToMul()</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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<p>Transpose vector for each input tensor (leave as empty vector for no pre-transposing) Transpose and Adjoint can not both be set to true for the same tensor at the same time. </p>
<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01586">1586</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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<p class="definition">Definition at line <a class="el" href="_descriptors_8hpp_source.xhtml#l01587">1587</a> of file <a class="el" href="_descriptors_8hpp_source.xhtml">Descriptors.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_descriptors_8hpp_source.xhtml#l01570">BatchMatMulDescriptor::operator==()</a>.</p>
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