121 lines
8.7 KiB
HTML
121 lines
8.7 KiB
HTML
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<title>LCOV - coverage.info - bayesnet/utils/bayesnetUtils.cc</title>
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr>
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<table cellpadding=1 border=0 width="100%">
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">bayesnet/utils</a> - bayesnetUtils.cc<span style="font-size: 80%;"> (source / <a href="bayesnetUtils.cc.func-c.html">functions</a>)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">coverage.info</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">92.0 %</td>
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<td class="headerCovTableEntry">25</td>
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<td class="headerCovTableEntry">23</td>
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-30 13:59:18</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">4</td>
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<td class="headerCovTableEntry">4</td>
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</tr>
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</table>
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<table cellpadding=0 cellspacing=0 border=0>
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<tr>
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<td><br></td>
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</tr>
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<tr>
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<pre class="sourceHeading"> Line data Source code</pre>
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<pre class="source">
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<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
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<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
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<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
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<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
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<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
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<span id="L6"><span class="lineNum"> 6</span> : </span>
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<span id="L7"><span class="lineNum"> 7</span> : </span>
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<span id="L8"><span class="lineNum"> 8</span> : #include "bayesnetUtils.h"</span>
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<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
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<span id="L10"><span class="lineNum"> 10</span> : // Return the indices in descending order</span>
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<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 186 : std::vector<int> argsort(std::vector<double>& nums)</span></span>
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<span id="L12"><span class="lineNum"> 12</span> : {</span>
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<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 186 : int n = nums.size();</span></span>
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<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 186 : std::vector<int> indices(n);</span></span>
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<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 186 : iota(indices.begin(), indices.end(), 0);</span></span>
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<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 3816 : sort(indices.begin(), indices.end(), [&nums](int i, int j) {return nums[i] > nums[j];});</span></span>
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<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 186 : return indices;</span></span>
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<span id="L18"><span class="lineNum"> 18</span> <span class="tlaUNC tlaBgUNC"> 0 : }</span></span>
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<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC tlaBgGNC"> 42 : std::vector<std::vector<double>> tensorToVectorDouble(torch::Tensor& dtensor)</span></span>
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<span id="L20"><span class="lineNum"> 20</span> : {</span>
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<span id="L21"><span class="lineNum"> 21</span> : // convert mxn tensor to mxn std::vector</span>
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<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 42 : std::vector<std::vector<double>> result;</span></span>
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<span id="L23"><span class="lineNum"> 23</span> : // Iterate over cols</span>
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<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 10818 : for (int i = 0; i < dtensor.size(0); ++i) {</span></span>
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<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 32328 : auto col_tensor = dtensor.index({ i, "..." });</span></span>
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<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 10776 : auto col = std::vector<double>(col_tensor.data_ptr<float>(), col_tensor.data_ptr<float>() + dtensor.size(1));</span></span>
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<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 10776 : result.push_back(col);</span></span>
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<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 10776 : }</span></span>
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<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 42 : return result;</span></span>
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<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 10776 : }</span></span>
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<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 54 : torch::Tensor vectorToTensor(std::vector<std::vector<int>>& vector, bool transpose)</span></span>
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<span id="L32"><span class="lineNum"> 32</span> : {</span>
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<span id="L33"><span class="lineNum"> 33</span> : // convert nxm std::vector to mxn tensor if transpose</span>
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<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 54 : long int m = transpose ? vector[0].size() : vector.size();</span></span>
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<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 54 : long int n = transpose ? vector.size() : vector[0].size();</span></span>
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<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 54 : auto tensor = torch::zeros({ m, n }, torch::kInt32);</span></span>
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<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 354 : for (int i = 0; i < m; ++i) {</span></span>
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<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 74886 : for (int j = 0; j < n; ++j) {</span></span>
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<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 74586 : tensor[i][j] = transpose ? vector[j][i] : vector[i][j];</span></span>
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<span id="L40"><span class="lineNum"> 40</span> : }</span>
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<span id="L41"><span class="lineNum"> 41</span> : }</span>
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<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 54 : return tensor;</span></span>
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<span id="L43"><span class="lineNum"> 43</span> <span class="tlaUNC tlaBgUNC"> 0 : }</span></span>
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<span id="L44"><span class="lineNum"> 44</span> : }</span>
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</pre>
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</td>
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</tr>
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</table>
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<br>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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