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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/classarmnn_1_1_batch_mat_mul.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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+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_batch_mat_mul-members.xhtml">List of all members</a> </div>
+ <div class="headertitle">
+<div class="title">BatchMatMul Class Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include &lt;<a class="el" href="_batch_mat_mul_impl_8hpp_source.xhtml">BatchMatMulImpl.hpp</a>&gt;</code></p>
+<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:a7c4e7bac563e596b1a775dd7e19b9e7f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_batch_mat_mul.xhtml#a7c4e7bac563e596b1a775dd7e19b9e7f">BatchMatMul</a> (const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &amp;params, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;inputXInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;inputYInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;outputInfo, <a class="el" href="classarmnn_1_1_decoder.xhtml">Decoder</a>&lt; float &gt; &amp;inputXDecoder, <a class="el" href="classarmnn_1_1_decoder.xhtml">Decoder</a>&lt; float &gt; &amp;inputYDecoder, <a class="el" href="classarmnn_1_1_encoder.xhtml">Encoder</a>&lt; float &gt; &amp;outputEncoder)</td></tr>
+<tr class="separator:a7c4e7bac563e596b1a775dd7e19b9e7f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_impl_8hpp_source.xhtml#l00016">16</a> of file <a class="el" href="_batch_mat_mul_impl_8hpp_source.xhtml">BatchMatMulImpl.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a7c4e7bac563e596b1a775dd7e19b9e7f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a7c4e7bac563e596b1a775dd7e19b9e7f">&#9670;&nbsp;</a></span>BatchMatMul()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="classarmnn_1_1_batch_mat_mul.xhtml">BatchMatMul</a> </td>
+ <td>(</td>
+ <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &amp;&#160;</td>
+ <td class="paramname"><em>params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
+ <td class="paramname"><em>inputXInfo</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
+ <td class="paramname"><em>inputYInfo</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
+ <td class="paramname"><em>outputInfo</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_decoder.xhtml">Decoder</a>&lt; float &gt; &amp;&#160;</td>
+ <td class="paramname"><em>inputXDecoder</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_decoder.xhtml">Decoder</a>&lt; float &gt; &amp;&#160;</td>
+ <td class="paramname"><em>inputYDecoder</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_encoder.xhtml">Encoder</a>&lt; float &gt; &amp;&#160;</td>
+ <td class="paramname"><em>outputEncoder</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_batch_mat_mul_impl_8cpp_source.xhtml#l00015">15</a> of file <a class="el" href="_batch_mat_mul_impl_8cpp_source.xhtml">BatchMatMulImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; : params(params),</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; inputXInfo(inputXInfo),</div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; inputYInfo(inputYInfo),</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; outputInfo(outputInfo),</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; inputXDecoder(inputXDecoder),</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; inputYDecoder(inputYDecoder),</div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; outputEncoder(outputEncoder)</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; inputXData = this-&gt;inputXDecoder.<a class="code" href="classarmnn_1_1_decoder.xhtml#aafe0168dd5ece89e7c62e8d83a4e57cd">DecodeTensor</a>(inputXInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; inputYData = this-&gt;inputYDecoder.<a class="code" href="classarmnn_1_1_decoder.xhtml#aafe0168dd5ece89e7c62e8d83a4e57cd">DecodeTensor</a>(inputYInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="comment">// At this point, we don&#39;t touch the input decoders - just the resultant vectors</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; ApplyParams();</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; ApplyBatchMatMul();</div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="classarmnn_1_1_decoder.xhtml#aafe0168dd5ece89e7c62e8d83a4e57cd">Decoder&lt; IType &gt;::DecodeTensor()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/backends/reference/workloads/<a class="el" href="_batch_mat_mul_impl_8hpp_source.xhtml">BatchMatMulImpl.hpp</a></li>
+<li>src/backends/reference/workloads/<a class="el" href="_batch_mat_mul_impl_8cpp_source.xhtml">BatchMatMulImpl.cpp</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<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="aclassarmnn_1_1_decoder_xhtml_aafe0168dd5ece89e7c62e8d83a4e57cd"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml#aafe0168dd5ece89e7c62e8d83a4e57cd">armnn::Decoder::DecodeTensor</a></div><div class="ttdeci">virtual std::vector&lt; float &gt; DecodeTensor(const TensorShape &amp;tensorShape, bool isDepthwise=false)=0</div></div>
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